Yi Chang  (Ph.D.)

yichang (at) acm.org; yichang (at) ieee.org; yichang@jlu.edu.cn                                                                 
     

About Me

I was the Founding Dean of School of Artificial Intelligence, Jilin University, and I am also the Director of Research & Development Affairs Office,

Jilin University. Before joining academia, I was a Technical Vice President at Huawei Research America,

in charge of knowledge graph, question answering and vertical search projects.  Before that, I was at Yahoo Labs/Research

from 2006 to 2016 as a Research Director, and in charge of search relevance of Yahoo’s web search engine and vertical search engines.

My Research Interests include information retrieval, data mining, machine learning, natural language processing, and artificial intelligence.

I am elected as an ACM Distinguished Scientist in 2018, for my contributions to intelligent algorithms for search engines.

What's New

1. School of Artificial Intelligence, Jilin University: We are actively hiring Top Talents as tenure-track Assistant/Associate/Full Professors!

2. WWW 2025 will be held in Sydney, Australia, in April 2025, and I am serving as one of the conference general chairs.

3. SIGIR 2020 has been successfully held fully online, in August 2020, and I served as one of the conference general chairs. 

4. WSDM 2018 has been succesfully held in Los Angeles, USA, in February 2018, and I served as one of the conference general chairs.

Recent Professional Activities

Book

1.   Yi Chang, Hongbo Deng (Ed.) "Query Understanding for Search Engines", Springer, 2020.

2.   Bo Long, Yi Chang (Ed.) "Relevance Ranking for Vertical Search Engines", Morgan Kaufmann, 2014.

Book Chapters

1.   David Carmel, Yi Chang, Hongbo Deng, Jian-Yun Nie, "Future Directions of Query Understanding", Query Understanding for Search Engines (Chang and Deng Ed.), Springer 2020.

2.   Hongbo Deng, Yizhou Sun, Yi Chang, Jiawei Han, "Probabilistic Models for Classification", Data Classification: Algorithms and Applications (Charu C. Aggarwal Ed.), CRC Press, 2014.

3.   Datong Chen, Yi Chang, Rong Yan, Jie Yang, "Protecting Personal Identification in Video", Protecting Privacy in Video Surveillance (Senior, Andrew Ed.), Springer 2009.

Selected Journal Publications

1.    Bohao Qu, Xiaofeng Cao, Yi Chang, Ivor W. Tsang, Yew-Soon Ong, “Diversifying Policies with Non-Markov Dispersion to Expand the Solution Space”, accepted by TPAMI (pdf)(code)

2.    Bohao Qu, Xiaofeng Cao, Qing Guo, Yi Chang, Ivor W. Tsang, Chengqi Zhang, “Transductive Reward Inference on Graph”, accepted by TKDE (pdf)(code)

3.    Siyuan Guo, Lixin Zou, Hechang Chen, Bohao Qu, Haotian Chi, Philip S. Yu, Yi Chang, “Sample Efficient Offline-to-Online Reinforcement Learning”, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 36(3), 2024. (pdf)(code)

4.    Yu Wang, Liang Hu, Xiaofeng Cao, Yi Chang, Ivor W. Tsang, “Enhancing Locally Adaptive Smoothing of Graph Neural Networks via Laplacian Node Disagreement”, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 36(3), 2024. (pdf)(code)

5.    Linlin You, Sheng Liu, Tao Wang, Bingran Zuo, Yi Chang, Chau Yuen, “AiFed: An Adaptive and Integrated Mechanism for Asynchronous Federated Data Mining”, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 36(9), 2024.

6.    Zhiwei Yang, Jing Ma, Hechang Chen, Jiawei Zhang, Yi Chang, “Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 35(1), 2024.

7.    Bo Cheng, Ximing Li, Yi Chang, “Eliminating Negative Word Similarities for Measuring Document Distances: A Thoroughly Empirical Study on Word Mover's Distance”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 35(6), 2024. (pdf)(code)

8.    Zhaogeng Liu, Feng Ji, Jielong Yang, Xiaofeng Cao, Muhan Zhang, Hechang Chen, Yi Chang, “Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 35(9), 2024. (pdf)(code)

9.    Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie, “A Survey on Evaluation of Large Language Models”, ACM Transactions on Intelligent Systems and Technology (TIST), vol. 15(3), 2024.

10. Haiyin Piao, Shengqi Yang, Hechang Chen, Junnan Li, Jin Yu, Xuanqi Peng, Xin Yang, Zhen Yang, Zhixiao Sun, Yi Chang, “Discovering Expert-Level Air Combat Knowledge via Deep Excitatory-Inhibitory Factorized Reinforcement Learning”, ACM Transactions on Intelligent Systems and Technology (TIST), vol. 15(4), 2024. (pdf)

11. Qiang Huang, Jing Ma, Jundong Li, Ruocheng Guo, Huiyan Sun, Yi Chang, “Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data”, ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 18(3), 2024. (pdf)(code)

12. Linlin You, Zihan Guo, Bingran Zuo, Yi Chang, Chau Yuen, “SLMFed: A Stage-Based and Layerwise Mechanism for Incremental Federated Learning to Assist Dynamic and Ubiquitous IoT”, IEEE Internet Things Journal (IoT), Vol. 11(9), 2024.

13. Zhiwei Yang, Jing Ma, Kang Yang, Huiru Lin, Hechang Chen, Ruichao Yang, Yi Chang, “CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy”, Information Processing and Management (IPM), Vol. 61(2), 2024. 

14. Yang Tao, Kai Guo, Yizhen Zheng, Shirui Pan, Xiaofeng Cao, Yi Chang, “Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective”, Information Sciences, Vol. 657, 2024. (pdf)(code)

15. Bin Gu, Xiyuan Wei, Hualin Zhang, Yi Chang, Heng Huang, “Obtaining Lower Query Complexities Through Lightweight Zeroth-Order Proximal Gradient Algorithms”, Neural Computation, Vol. 36(5), 2024.

16. Xinqi Du, Hechang Chen, Che Wang, Yongheng Xing, Jielong Yang, Philip S. Yu, Yi Chang, Lifang He, “Robust multi-agent reinforcement learning via Bayesian distributional value estimation”, Pattern Recognition, Vol. 145, 2024.

17. Haoran Zhu, Yuning Yang, Yunhe Wang, Fuzhou Wang, Yujian Huang, Yi Chang, Ka-chun Wong, Xiangtao Li, “Dynamic characterization and interpretation for protein–RNA interactions across diverse cellular conditions using HDRNet”, Nature Communications, 2023.

18. Zhuohan Yu, Yanchi Su, Yifu Lu, Yuning Yang, Fuzhou Wang, Shixiong Zhang, Yi Chang, Ka-chun Wong, Xiangtao Li, “Topological Identification and Interpretation for Single-cell Gene Regulation Elucidation across Multiple Platforms using scMGCA”, Nature Communications, 2023.

19. Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Yi Chang, “GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks”, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 35(7), 2023. (pdf)(code)

20. Zhaogeng Liu, Jielong Yang, Li Wang, Yi Chang, “A novel relation aware wrapper method for feature selection”, Pattern Recognition, Vol. 140, 2023. (pdf)(code)

21. Yu Wang, Liang Hu, Wanfu Gao, Xiaofeng Cao, Yi Chang, “AdaNS: Adaptive negative sampling for unsupervised graph representation learning”, Pattern Recognition, Vol. 136, 2023. (pdf)(code)

22. Shuwei Dong, Xiaoyu Kong, Xingjia Pan, Fan Tang, Wei Li, Yi Chang, Weiming Dong, “Semantic-Context Graph Network for Point-Based 3D Object Detection”, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 33(11), 2023.

23. Yanchi Su, Haoran Zhu, Ka-Chun Wong, Yi Chang, Xiangtao Li, “Hyperspectral Image Denoising via Weighted Multidirectional Low-Rank Tensor Recovery”, IEEE Transactions on Cybernetics, Vol. 53(5), 2023.

24. Kai Guo, Xiaofeng Cao, Zhining Liu, Yi Chang, “Taming over-smoothing representation on heterophilic graphs”, Information Sciences, Vol. 647, 2023. (pdf)(code)

25. Yixiang Shan, Jielong Yang, Xiangtao Li, Xionghu Zhong, Yi Chang, “LAE: A graph-learnable auto-encoder for single-cell RNA-seq analysis”, Information Sciences, Vol. 621, 2023.

26. Yijun Liu, Ji Sun, Huiyan Sun, Yi Chang, “Identification of Key Somatic Oncogenic Mutation based on a Confounder-free Causal Inference Model”. PLoS Computational Biology, Vol. 18, 2022.

27. Linlin You, Sheng Liu, Yi Chang, Chau Yuen, “A Triple-Step Asynchronous Federated Learning Mechanism for Client Activation, Interaction Optimization, and Aggregation Enhancement”, IEEE Internet of Things Journal (IoT), Vol. 9(23), 2022.

28. Yunhe Wang, Xiangtao Li, Ka-Chun Wong, Yi Chang, Shengxiang Yang, “Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification”, IEEE Transactions of Cybernetics, Vol. 52(10), 2022.

29. Yuanbo Xu, En Wang, Yongjian Yang, Yi Chang, “A Unified Collaborative Representation Learning for Neural-Network Based Recommender Systems”, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 34(11), 2022.

30. Jiashu Zhao, Jimmy Xiangji Huang, Hongbo Deng, Yi Chang, Long Xia, “Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization”, ACM Transactions on Information Systems (TOIS), Vol. 40(3), 2022.

31.  Shang Wang, Zhiwei Yang, Yi Chang, "Bringing order to episodes: Mining timeline in social media", Neurocomputing, Vol. 450, 2021.

32.  Suthee Chaidaroon, Dae Hoon Park, Yi Chang, Yi Fang, "node2hash: Graph aware deep semantic text hashing", Information Processing and Management (IPM), 57(6), 2020.

33.  Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei, "Optimizing Whole-Page Presentation", ACM Transactions on the Web (TWEB), 12(3): 19:1-19:25, 2018.

34.  Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez, Ermin Hodzic, Raunak Shrestha, Avishek Saha, Hua Ouyang, Dawei Yin, Hiroshi Mamitsuka, Cenk Sahinalp, Predrag Radivojac, Filippo Menczer, Yi Chang, "Ultra High-Dimensional Nonlinear FeatureSelection for Big Biological Data", IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 30(7), 2018.

35.  Yingfei Wang, Hua Ouyang, Hongbo Deng, Yi Chang, "Learning Online Trends for Interactive Query Auto-Completion", IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 29(11), 2017.

36.  Yuening Hu, Changsung Kang, Jiliang Tang, Dawei Yin, Yi Chang, "Large-scale Location Prediction for Web Pages", IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 29(9), 2017. (pdf)

37.  fHongning Wang, Rui Li, Milad Shokouhi, Hang Li, Yi Chang, "Search, Mining and their Applications on Mobile Devices: Introduction to the Special Issue", ACM Transactions on Information Systems (TOIS), Vol. 35(4), 2017. (pdf)

38.  Yiqun Liu, Yi Chang and Jian-Yun Nie, "Constructing click models for search users", Information Retrieval Journal, Vol. 20(1), 2017.

39.  Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu, "Life Cycle Modeling for Buzz Temporal Pattern Discovery", ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 11(2) 20:1-20:24, 2016. (pdf)

40.  Jiliang Tang, Yi Chang, Charu Aggarwal, Huan Liu, "A Survey of Signed Network Mining in Social Media", ACM Computing Surveys, Vol. 49(3): 42:1-42:37, 2016. (pdf)

41.  Makoto Yamada, Leonid Sigal, Michalis Raptis, Machiko Toyoda, Yi Chang, Masashi Sugiyama, "Cross-Domain Matching with Squared-Loss Mutual Information", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 37(9), 2015. (pdf)

42.  Bo Long, Jiang Bian, Olivier Chapelle, Ya Zhang, Yoshiyuki Inagaki, Yi Chang, "Active Learning for Ranking through Expected Loss Optimization", IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 27(5), 2015. (pdf)

43.  Changsung Kang, Dawei Yin, Ruiqiang Zhang, Nicolas Torzec, Jianzhang He, Yi Chang, "Ranking Related Entities for Web Search Queries", Neurocomputing, Vol 166, 2015. (pdf)

44.  Changsung Khan, Jeehaeng Lee, Roi Blanco, Yi Chang, "Predicting Primary Categories of Business Listings for Local Search Ranking Neurocomputing", Neurocomputing, Vol 168, 2015.

45.  Yi Chang, Lei Tang, Yoshiyuki Inagaki, Yan Liu, "What is Tumblr: A Statistical Overview and Comparison", SIGKDD Explorations, Vol. 16(1), 2014. (pdf)

46.  Jiang Bian, Bo Long, Lihong Li, Taesup Moon, Anlei Dong, Yi Chang, "Exploiting User Preference for Online Learning in Web Content Optimization Systems", ACM Transactions on Intelligent Systems and Technology (ACM TIST), Vol. 5(2), 2014. (pdf)

47.  Makoto Yamada, Leonid Sigal, Yi Chang, "Domain Adaptation for Structured Regression", International Journal of Computer Vision (IJCV), Vol. 109(1-2), 2014. (pdf)

48.  Ke Zhou, Hongyuan Zha, Yi Chang, Gui-Rong Xue, "Learning the Gain Values and Discount Factors of Discounted Cumulative Gains", IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 26(2), 2014. (pdf)

49.  M. T. Bahadori, Y. Chang, B. Long, and Y. Liu, "Scalable Heterogeneous Transfer Ranking ," Journal of Machine Learning Research (JMLR) - Proceedings Track 36: 214-228, 2014. (pdf)

50.  Jiliang Tang, Yi Chang, Huan Liu, "Mining Social Media with Social Theories: A Survey", SIGKDD Explorations, Vol. 15(2), 2013. (pdf)

51.  Jiang Bian, Anlei Dong, Xiaofeng He, Srihari Reddy, Yi Chang, "User Action Interpretation for Online Content Optimization", IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 9, 2013. (pdf)

52.  Yi Chang, Anlei Dong, Pranam Kolari, Ruiqiang Zhang, Yoshiyuki Inagaki, Fernando Diaz,  Hongyuan zha, Yan Liu, "Improving Recency Ranking Using Twitter Data", ACM Transactions on Intelligent Systems and Technology (ACM TIST), vol. 4, No. 1, 2013. (pdf)

53.  Jiang Bian, Yi Chang, Yun Fu, Wen-Yen Chen, "Learning to Blend Vitality Rankings from Heterogeneous Social Networks", Neurocomputing, vol 97, 390-397, 2012. (pdf)

54.  Taesup Moon, Wei Chu, Lihong Li, Zhaohui Zheng, Yi Chang, "An Online Learning Framework for Refining Recency Search Results with User Click Feedback", ACM Transactions on Information Systems (TOIS), vol. 30, 2012. (pdf)

55.  Yi Chang, Jing Bai, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Zhaohui Zheng, "Multi-Task Learning to Rank for Web Search", Pattern Recognition Letters, Vol. 33, 173-181, 2012. (pdf)

56.  Olivier Chapelle, Yi Chang, Tie-Yan Liu, "Future directions in learning to rank", Journal of Machine Learning Research (JMLR) - Proceedings Track 14: 91-100, 2011. (pdf)

57.  Olivier Chapelle, Yi Chang, "Yahoo! Learning to Rank Challenge Overview", Journal of Machine Learning Research (JMLR) - Proceedings Track 14: 1-24, 2011. (pdf)

58.  Yi Chang, Datong Chen, Ying Zhang, Jie Yang, "An Image-based Automatic Arabic Translation System", Pattern Recognition 42(9): 2127-2134, 2009.

59.  Datong Chen, Yi Chang, Rong Yan, Jie Yang, "Tools for Protecting The Privacy of Specific Individuals in Video", in EURASIP Journal on Applied Signal Processing, 2007.

Selected Conference Publications

1.    Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang, “PTARL: Prototype-based Tabular Presentation Learning via Space Calibration”, Proceedings of the 12th International Conference on Learning Representations (ICLR), 2024. (pdf)(code)

2.    Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang, “DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning”, Proceedings of the 41st International Conference on Machine Learning (ICML), 2024. (pdf)(code)

3.    Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu, “An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series”, Proceedings of the 41st International Conference on Machine Learning (ICML), 2024. (pdf)(code)

4.    Wanli Shi, Yi Chang, Bin Gu, “Double Momentum Method for Lower-Level Constrained Bilevel Optimization”, Proceedings of the 41st International Conference on Machine Learning (ICML), 2024.

5.    Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang, “The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)”, Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024. 

6.    Tingyu Xia, Bowen Yu, Yuan Wu, Yi Chang, Chang Zhou, “Language Models can Evaluate Themselves via Probability Discrepancy”, Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024. (pdf)(code)

7.    Yajing Fan, Wanli Shi, Yi Chang, Bin Gu, “Fast and Adversarial Robust Kernelized SDU Learning”, Proceedings of 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.

8.    Zhou Zhai, Wanli Shi, Heng Huang, Yi Chang, Bin Gu, “Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization”, Proceedings of 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.

9.    Kai Guo, Hongzhi Wen, Wei Jin, Yaming Guo, Jiliang Tang, Yi Chang, “Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective”, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024. (pdf)(code)

10. Haozhen Zhang, Hualin Zhang, Bin Gu, Yi Chang, “Subspace Selection based Prompt Tuning with Nonconvex Nonsmooth Black-Box Optimization”, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024. (pdf)(code)

11. Bo Wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang, “Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom”, Proceedings of the 33rd International World Wide Web Conference (WWW), 2024. (pdf)(code)

12. Hongyang Jiang, Yonghe Zhao, Qiang Huang, Yangkun Cao, Huiyan Sun, Yi Chang, “Estimating Individual Causal Treatment Effect by Variable Decomposition”, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN), 2024.

13. Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang, “Learning Generalizable Agents via Saliency-guided Features Decorrelation”, Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NIPS), 2023.

14. Yaming Guo, Kai Guo, Xiaofeng Cao, Tieru Wu, Yi Chang, “Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships”, Proceedings of the 40th International Conference on Machine Learning (ICML), 2023. (pdf)(code)

15. Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian, “UADB: Unsupervised Anomaly Detection Booster”, Proceedings of IEEE International Conference on Data Engineering (ICDE), 2023. (pdf)(code)

16. Hangting Ye, Zhining Liu, Wei Cao, Amir M. Amiri, Jiang Bian, Yi Chang, Jon D. Lurie, Jim Weinstein, Tie-Yan Liu, “Web-based Long-term Spine Treatment Outcome Forecasting”, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. (pdf)(code)

17. Yu Li, Meng Qu, Jian Tang, Yi Chang, “Signed Laplacian Graph Neural Networks”, Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023.

18. Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Haiyin Piao, Zhixiao Sun, Zhiwei Yang, Randy Goebel, Bei Jiang, Yi Chang, “the Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure”, Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023. (pdf)(code)

19. Bo Cheng, Ximing Li, Yi Chang, “TC-DWA: Text Clustering with Dual Word-Level Augmentation”, Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023. (pdf)(code)

20. Chuan Tang, Xi Yang, Bojian Wu, Zhizhong Han, Yi Chang, “Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

21. Jindong Li, Qianli Xing, Qi Wang, Yi Chang, “CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-Level Anomaly Detection”, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2023.

22. Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun, “Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning”, Proceedings of the 36th Annual Conference on Neural Information Processing Systems (NIPS), 2022.

23. Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang, “Orthogonal Graph Neural Networks”, Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI), 2022. (pdf)(code)

24. Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang, “FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification”, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. (pdf)(code)

25. Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang, “Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables”, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.

26. Qiang Huang, Jing Ma, Jundong Li, Huiyan Sun, Yi Chang, “SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training”, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2022. (pdf)(code)

27. Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang, “A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection”, Proceedings of International Conference on Computational Linguistics (COLING), 2022. (pdf)(code)

28. Zhepei Wei, Yue Wang, Jinnan Li, Zhining Liu, Erxin Yu, Yuan Tian, Xin Wang, Yi Chang, “Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning”, Proceedings of AACL/IJCNLP, 2022.

29.  Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang, "Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation", Proceedings of the 44th Annual ACM SIGIR Conference (SIGIR), 2021. (pdf)(code)

30.  Xiaobo Xia, Tongliang Liu, Bo Han, Chen Gong, Nannan Wang, Zongyuan Ge, Yi Chang, "Robust early-learning: Hindering the memorization of noisy labels", Proceedings of the 9th International Conference on Learning Representations (ICLR), 2021.

31.  Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, Yi Chang, "Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion", Proceedings of the 30th International World Wide Web Conference (WWW), 2021. (pdf)(code)

32.  Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang, "Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks", Proceedings of the 30th International World Wide Web Conference (WWW), 2021. (pdf)(code)

33.  Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang, "Unbiased Learning to Rank in Feeds Recommendation", Proceedings of the International Conference on Web Search and Data Mining (WSDM), 2021. (pdf) (code)

34.  Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang, Yi Chang, "HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition", Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.

35.  Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang, "Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction", Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. (pdf)(code)

36.  Xia Yang, Meng-Fen Chiang, Wang-Chien Lee, Yi Chang, "Cost-Effective Knowledge Graph Reasoning for Complex Factoid Questions", Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN), 2021.

37.  Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang, "MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler", Proceedings of the 34th Annual Conference on Neural Information Processing Systems (NIPS), 2020. (pdf) (code)

38.  Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu, "Self-paced Ensemble for Highly Imbalanced Massive Data Classification", Proceedings of IEEE International Conference on Data Engineering (ICDE), 2020. (pdf) (code)

39.  Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang, "Attention-based Multi-level Feature Fusion for Named Entity Recognition", Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI), 2020. (pdf) (code)

40.  Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang, "A Novel Cascade Binary Tagging Framework for Relational Triple Extraction", Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020. (pdf) (code)

41.  Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang, " Unsupervised Nonlinear Feature Selection from High-dimensional Signed Networks", Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020. (pdf) (code)

42.  Yu Li, Yuan Tian, Jiawei Zhang, Yi Chang, " Learning Signed Network Embedding via Graph Attention", Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020. (pdf) (code)

43.  Erxin Yu, Wenjuan Han, Yuan Tian, Yi Chang:ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction. Proceedings of International Conference on Computational Linguistics (COLING), 2020. (pdf) (code)

44.  Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang, "Adversarial Active Learning based HeterogeneousGraph Neural Network for Fake News Detection", Proceedings of IEEE International Conference on Data Mining (ICDM), 2020. (pdf)

45.  Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang, Yi Chang, "Learning Network Embedding with Community Structural Information", Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019. (pdf) (code)

46.  Dae Hoon Park, Yi Chang, "Adversarial Sampling and Training for Semi-Supervised Information Retrieval", Proceedings of the 28th International World Wide Web Conference (WWW), 2019. (pdf4)

47.  Hongyang Jiang, Qiang Huang, Liang Chen, Zhi Li, Ying Xu, Huiyan Sun, Yi Chang, "Multi-Classification of Cancer Samples Based on Co-Expression Analyses", Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019.

48.  Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip Yu, "Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System", Proceedings of the 28th ACM Conference on Information and Knowledge Management (CIKM), 2019.

49.  Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang, "Balance in Signed Bipartite Networks", Proceedings of the 28th ACM Conference on Information and Knowledge Management (CIKM), 2019.

50.  Gaurav Pandey, Shuaiqiang Wang, Zhaochun Ren, Yi Chang, "Vectorization of Pairwise Item Preferences", Proceedings of the 41st European Conference on Information Retrieval (ECIR), 2019.

51.  Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, Chengxiang Zhai, "JIM: Joint Influence Modeling for Collective Search Behavior", Proceedings of the 27th ACM Conference on Information and Knowledge Management (CIKM), 2018.

52.  Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip Yu, "Zero-shot User Intent Detection via Capsule Neural Networks", Proceedings of 2018 Conference on Empirical Methods on Natural Language Processing (EMNLP), 2018.

53.  Shuai Wang, Sahisnu Mazumder, Bing Liu, Mianwei Zhou, Yi Chang, "Target-Sensitive Memory Networks for Aspect Sentiment Classification", Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018.

54.  Shashi Narayan, Ronald Cardenas, Nikos Papasarantopoulos, Shay B. Cohen, Mirella Lapata, Jiangsheng Yu, Yi Chang, " Document Modeling with External Attention for Sentence Extraction", Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018.

55.  Kai Shu, Suhang Wang, Huan Liu, Jiliang Tang, Yi Chang, Ping Luo, "Exploiting User Actions for App Recommendations", Proceedings of IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM), 2018. (short)

56.  Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu, "Understanding and Predicting Delay in Reciprocal Relations", Proceedings of the 27th International World Wide Web Conference (WWW), 2018.

57.  Denghao Ma, Yueguo Chen, Kevin Chang, Xiaoyong Du, Chuanfei Xu, Yi Chang, "Leveraging Fine-Grained Wikipedia Categories for Entity Search", Proceedings of the 27th International World Wide Web Conference (WWW), 2018.

58.  Fuad Issa, Marco Damonte, Shay B. Cohen, Xiaohui Yan, Yi Chang, "Abstract Meaning Representation for Paraphrase Detection", Proceedings of North American Chapter of the Association for Computational Linguistics - Human Language Technologies conference (NAACL-HLT), 2018.

59.  Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman Kahn, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang, "Convex Factorization Machine for Toxicogenomics Prediction", Proceedings of the 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017. (pdf)

60.  Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, Yi Chang, "Understanding and Discovering Deliberate Self-harm Content in Social Media", Proceedings of the 26th International World Wide Web Conference (WWW), 2017. (pdf)

61.  Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Ricardo Baeza-Yates, Hongyuan Zha, "Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion", Proceedings of the 26th International World Wide Web Conference (WWW), 2017. (pdf)

62.  Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark Hasegawa-Johnson, Thomas Huang, " Streaming Recommender Systems", Proceedings of the 26th International World Wide Web Conference (WWW), 2017. (pdf)

63.  Shubhra Kanti Karmaker Santu, Liangda Li, Dae Hoon Park, Yi Chang, Chengxiang Zhai, "Modeling the Influence of Popular Trending Events on User Search Behavior", Proceedings of the 26th International World Wide Web Conference (WWW), 2017. (pdf)

64.  Yingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov and Yi Chang, "Efficient Ordered Combinatorial Semi-Bandits for Whole-page Recommendation", Proceedings of the 31st  AAAI Conference on Artificial Intelligence (AAAI), 2017. (pdf)

65.  Liangda Li, Hongbo Deng, Jianhui Chen, Yi Chang, "Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes", Proceedings of International conference on Web Search and Data Mining (WSDM), 2017.  (pdf)

66.  Jiawei Zhang, Jianhui Chen, Junxing Zhu, Yi Chang, Philip S. Yu, "Link Prediction with Cardinality Constraint", Proceedings of International conference on Web Search and Data Mining (WSDM), 2017. (pdf)

67.  Tianyi Zhou, Hua Ouyang, Jeff Blimes, Yi Chang, Carlos Guestrin, "Scaling Submodular Maximization via Pruned Submodularity Graphs", Proceedings of 20th International Conference on Artificial Intelligence and Statistics (AISTATS), 2017.

68.  Jiawei Zhang, Jianhui Chen, Shi Zhi, Yi Chang, Philip S. Yu, Jiawei Han, "Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation", Proceedings of IEEE International Conference on Data Engineering (ICDE), 2017.

69.  Suhang Wang, Jiliang Tang, Charu Aggarwal, Yi Chang, Huan Liu, "Signed Network Embedding in Social Media", Proceedings of SIAM International Conference on Data Mining (SDM), 2017. (pdf)

70.  Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu, "Attributed Network Embedding for Learning in a Dynamic Environment", Proceedings of the 26th ACM Conference on Information and Knowledge Management (CIKM), 2017.

71.  Jingyuan Zhang, Chun-Ta Lu, Bokai Cao, Yi Chang, Philip S. Yu, "Connecting emerging relationships from news via tensor factorization", Proceedings IEEE International Conference on Big Data (BigData), 2017.

72.  Chuancong Gao, Jian Pei, Jiannan Wang, Yi Chang, " Schemaless Join for Result Set Preferences", Proceedings of IEEE International Conference on Information Reuse and Integration (IRI), 2017.

73.  Chuancong Gao, Jiannan Wang, Jian Pei, Rui Li, Yi Chang, " Preference-driven Similarity Join", Proceedings of IEEE/ACM International Conference on Web Intelligence (WI), 2017. (pdf) (Best Student Paper Award)

74.  Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark Hasegawa-Johnson, Thomas S. Huang, "Positive Unlabeled Learning in Streaming Networks", Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016. (pdf)

75.  Dawei Yin, Yuening Hu, Jiliang Tang, Tim Daly, Mianwei Zhou, Hua Ouyang, Jianhui Chen, Changsung Kang, Hongbo Deng, Chikashi Nobata, Jean-Marc Langlois, Yi Chang, "Ranking Relevance in Yahoo Search", Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016. (pdf) (Best Paper Award)

76.  Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei, "Beyond Ranking: Optimizing Whole-Page Presentation", Proceedings of International conference on Web Search and Data Mining (WSDM), 2016. (pdf) (Best Paper Award)

77.  Jingyuan Zhang, Chun-Ta Lu, Mianwei Zhou, Sihong Xie, Yi Chang, Philip S. Yu, "HEER: Heterogeneous Graph Embedding for Emerging Relation Detection from News", Proceedings IEEE International Conference on Big Data (IEEE BigData), 2016. (pdf)

78.  Xiaolong Wang, Jingjing Wang, Luo Jie, Chengxiang Zhai, Yi Chang, "Binding Pairwise Preferences of the Crowd into Rankings: A Thurstonian Approach", Proceedings of IEEE International Conference on Data Mining (ICDM), 2016.

79.  Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin, Yi Chang, "Learning to rewrite queries", Proceedings of the 25th ACM Conference on Information and Knowledge Management (CIKM), 2016. (pdf)

80.  Jianhui Chen, Tianbao Yang, Qihang Lin, Lijun Zhang, Yi Chang, "Optimal Stochastic Strongly Convex Optimization with a Logarithmic Number of Projections", Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence (UAI), 2016. (pdf)

81.  Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han, "Learning Hostname Preference to Enhance Search Relevance", Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016. (pdf)

82.  Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu, "Timeline Summarization from Social Media with Life Cycle Models", Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016. (pdf)

83.  Neil O'Hare, Paloma De Juan, Rossano Schifanella, Yunlong He, Dawei Yin, Yi Chang, "Leveraging User Interaction Signals for Web Image Search", Proceedings of the 39th Annual ACM SIGIR Conference (SIGIR), 2016. (pdf)

84.  Shan Jiang, Yuening Hu, Changsung Kang, Tim Daly, Dawei Yin, Yi Chang, Chengxiang Zhai, "Learning Query and Document Relevance from Web-scale Click Graph", Proceedings of the 39th Annual ACM SIGIR Conference (SIGIR), 2016. (pdf)

85.  Aston Zhang, Amit Goyal, Ricardo Baeza-Yates, Yi Chang, Jiawei Han, Carl A. Gunter, Hongbo Deng, "Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach", Proceedings of the 25th International World Wide Web Conference (WWW), 2016. (pdf)

86.  Liangda Li, Hongbo Deng, Yunlong He, Anlei Dong, Yi Chang, Hongyuan Zha, "Behavior Driven Topic Transition for Search Task Identification", Proceedings of the 25th International World Wide Web Conference (WWW), 2016. (pdf)

87.  Chikashi Nobata, Joel Tetreault, Achint Thomas, Yashar Mehdad, Yi Chang, "Abusive Language Detection in Online User Content", Proceedings of the 25th International World Wide Web Conference (WWW), 2016. (pdf)

88.  Jiliang Tang, SuhangWang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu, "Recommendation with Social Dimensions", Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI), 2016. (pdf)

89.  Jingyuan Zhang, Luo Jie, Altaf Rahman, Sihong Xie, Yi Chang, Philip S. Yu, "Learning Entity Types from Query Logs via Graph-Based Modeling", Proceedings of the 24th ACM Conference on Information and Knowledge Management (CIKM), 2015. (pdf)

90.  Aston Zhang, Amit Goyal, Weize Kong, Hongbo Deng, Anlei Dong, Yi Chang, Carl A. Gunter, Jiawei Han, "adaQAC: Adapting Query Auto-Completion via Implicit Negative Feedback", Proceedings of the 38th Annual ACM SIGIR Conference (SIGIR), 2015. (pdf)

91.  Weize Kong, Rui Li, Jie Luo, Aston Zhang, Yi Chang, James Allan, "Predicting Search Intent Based on Pre-search Context", Proceedings of the 38th Annual ACM SIGIR Conference (SIGIR), 2015. (pdf)

92.  Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha, Ricardo Baeza-Yates, "Analyzing User’s Sequential Behavior in Query Auto-Completion via Markov Processes", Proceedings of the 38th Annual ACM SIGIR Conference (SIGIR), 2015. (pdf)

93.  Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang, "Consistent Collective Matrix Completion under Joint Low Rank Structure", Proceedings of 17th International Conference on Artificial Intelligence and Statistics (AISTATS), 2015. (pdf)

94.  Jiliang Tang, Chikashi Nobata, Anlei Dong, Yi Chang, Huan Liu, "Propagation-based Sentiment Analysis for Microblogging Data", Proceedings of SIAM International Conference on Data Mining (SDM), 2015. (pdf)

95.  Wei Sun, Pengyuan Wang, Dawei Yin, Jian Yang, Yi Chang, "Causal Inference via Sparse Additive Models with Application to Online Advertising", Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), 2015. (pdf)

96.  Pengyuan Wang, Wei Sun, Dawei Yin, Jian Yang, Yi Chang, "Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis", Proceedings of International conference on Web Search and Data Mining (WSDM), 2015. (pdf)

97.  Pengyuan Wang, Dawei Yin, Jian Yang, Yi Chang, Marsha Meytlis, "Rethink Targeting: Detect `Smart Cheating' in Online Advertising through Causal Inference", Proceedings of the 24th International World Wide Web Conference (WWW), 2015. (short) (pdf)

98.  Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu, "Ups and Downs in Buzzes: Life Cycle Modeling for Buzz Temporal Pattern Discovery", Proceedings of IEEE International Conference on Data Mining (ICDM), 2014. (short)

99.  Jiliang Tang, Xia Hu, Yi Chang, Huan Liu, "Predictability of Distrust with Interaction Data", Proceedings of the 23th ACM Conference on Information and Knowledge Management (CIKM), 2014. (pdf)

100.   Jingyuan Zhang, Xiangnan Kong, Roger Jie Luo, Yi Chang, Philip S. Yu, "NCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites", Proceedings of the 23th ACM Conference on Information and Knowledge Management (CIKM), 2014. (pdf)

101.   Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang and Hongyuan Zha, "Identifying and Labeling Search Tasks via Query-based Hawkes Processes", Proceedings of the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2014. (pdf)

102.   Yanen Li, Anlei Dong, Hongning Wang, Hongbo Deng, Yi Chang, ChengXiang Zhai, "A Two-Dimensional Click Model for Query Auto-Completion", Proceedings of the 37th Annual ACM SIGIR Conference (SIGIR), 2014. (pdf)

103.   Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han, "A Hierarchical Dirichlet Model for Taxonomy Expansion for Search Engines", Proceedings of the 23rd International World Wide Web Conference (WWW), 2014. (pdf)

104.   Hongning Wang, Chengxiang Zhai, Feng Liang, Anlei Dong, Yi Chang, "User Modeling in Search Logs via A Nonparametric Bayesian Approach", Proceedings of International conference on Web Search and Data Mining (WSDM), 2014. (pdf)

105.   Luo Jie, Sudarshan Lamkhede, Rochit Sapra, Evans Hsu, Helen Song, Yi Chang, "A Unified Search Federation System Based on Online User Feedback", Proceedings of the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2013. (pdf)

106.   Yoshiyuki Inagaki, Jiang Bian, Yi Chang, "An Effective General Framework for Localized Content Optimization", Proceedings of the 22nd International World Wide Web Conference (WWW), 2013. (short) (pdf)

107.   Achint Thomas, Kunal Punera, Lyndon Kennedy, Belle Tseng, Yi Chang, "Framework for Evaluation of Text Captchas", Proceedings of the 22nd International World Wide Web Conference (WWW), 2013. (short) (pdf)

108.   Hongning Wang, Chengxiang Zhai, Anlei Dong, Yi Chang, "Content-Aware Click Modeling", Proceedings of the 22nd International World Wide Web Conference (WWW), 2013. (pdf)

109.   Yi Chang, Xuanhui Wang, Qiaozhu Mei, Yan Liu, "Towards Twitter Context Summarization with User Influence Models", Proceedings of International conference on Web Search and Data Mining (WSDM), 2013. (pdf)

110.   Bo Long, Jiang Bian, Anlei Dong, Yi Chang, "Enhancing Product Search by Best-Selling Prediction in E-Commerce", Proceedings of the 21st ACM Conference on Information and Knowledge Management (CIKM), 2012. (short) (pdf)

111.   Changsung Kang, Jeehaeng Lee, Yi Chang, "Predicting Primary Categories of Business Listings for Local Search", Proceedings of the 21st ACM Conference on Information and Knowledge Management (CIKM), 2012. (short) (pdf)

112.   Shuang-Hong Yang, Alexander J. Smola, Bo Long, Hongyuan Zha, Yi Chang, "Friend or Frenemy? Predicting Signed Ties in Social Networks", Proceedings of the 35th Annual ACM SIGIR Conference (SIGIR), 2012. (pdf)

113.   Zhiheng Huang, Yi Chang, Bo Long, Jean-Francois Crespo, Anlei Dong, Sathiya Keerthi, Su-Lin Wu, "Iterative Viterbi A* Algorithm for K-Best Sequential Decoding", Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL), 2012. (pdf)

114.   Hongning Wang, Anlei Dong, Lihong Li, Yi Chang, Evgeniy Gabrilovich, "Joint Relevance and Freshness Learning From Clickthroughs for News Search", Proceedings of the 21st International World Wide Web Conference (WWW), 2012. (pdf)

115.   Xuanhui Wang, Jiang Bian, Yi Chang, Belle Tseng, "Model News Relatedness through User Comments", Proceedings of the 21st International World Wide Web Conference (WWW), 2012. (short) (pdf)

116.   Bo Long, Yi Chang, Anlei Dong, Jianzhang He, "Pairwise Cross-Domain Factor Model for Heterogeneous Transfer Ranking", Proceedings of International conference on Web Search and Data Mining (WSDM), 2012. (pdf)

117.   Changsung Kang, Xuanhui Wang, Yi Chang, Belle Tseng, "Learning to Rank with Multi-Aspect Relevance for Vertical Searches", Proceedings of International conference on Web Search and Data Mining (WSDM), 2012. (pdf)

118.   Anlei Dong, Jiang Bian, Xiaofeng He, Srihari Reddy, Yi Chang, "User Action Interpretation for Personalized Content Optimization in Recommender Systems", Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM), 2011. (short) (pdf)

119.   Jiang Bian, Yi Chang, "A Taxonomy of Local Search: Semi-Supervised Query Classification Driven by Information Needs", Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM), 2011. (short) (pdf)

120.   Yi Chang, Ruiqiang Zhang, Srihari Reddy, Yan Liu, "Detecting Multilingual and Multi-Regional Query Intent in Web Search", Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI), 2011. (pdf)

121.   Yuanhua Lv, Taesup Moon, Pranam Kolari, Zhaohui Zheng, Xuanhui Wang, Yi Chang, "Learning to Model Relatedness for News Recommendation", Proceedings of the 20th International World Wide Web Conference (WWW), 2011. (pdf)

122.   Changsung Kang, Srinivas Vadrevu, Ruiqiang Zhang, Roelof van Zwol, Lluis Garcia Pueyo, Nicolas Torzec, Jianzhang He, Yi Chang, "Ranking Related Entities for Web Search Queries", Proceedings of the 20th International World Wide Web Conference (WWW), 2011. (short) (pdf)

123.   Yoshiyuki Inagaki, Jiang Bian, Yi Chang, Motoko Maki, "Enhancing Mobile Search Using Web Search Log Data", Proceedings of the 34th Annual ACM SIGIR Conference (SIGIR), 2011. (short) (pdf)

124.   Changsung Kang, Xuanhui Wang, Jiang Chen, Ciya Liao, Yi Chang, Belle Tseng, Zhaohui Zheng, "Learning to Re-rank Web Search Results with Multiple Pairwise Features", Proceedings of International conference on Web Search and Data Mining (WSDM), 2011. (pdf)

125.   Srinivas Vadrevu, Choon Hui Teo, Suju Rajan, Kunal Punera, Byron Dom, Alexander Smola, Yi Chang, Zhaohui Zheng, "Scalable Clustering of News Search Results", Proceedings of International conference on Web Search and Data Mining (WSDM), 2011. (pdf)

126.   Ruiqiang Zhang, Yuki Konda, Anlei Dong, Pranam Kolari, Yi Chang, Zhaohui Zheng, "Learning Recurrent Event Queries for Web Search", Proceedings of 2010 Conference on Empirical Methods on Natural Language Processing (EMNLP), 2010. (pdf)

127.   Alexander Kotov, Pranam Kolari, Lei Duan, Yi Chang, "Temporal Query Log Profiling to Improve Web Search Ranking", Proceedings of the 19th ACM Conference on Information and Knowledge Management (CIKM), 2010. (pdf)

128.   Bo Long, Yi Chang, Srinivas Vadrevu, Shuang-Hong Yang, Zhaohui Zheng, "Ranking with Auxiliary Data", Proceedings of the 19th ACM Conference on Information and Knowledge Management (CIKM), 2010. (short) (pdf)

129.   Zhenzhen Kou, Yi Chang, Zhaohui Zheng, Hongyuan Zha, "Learning to Blend Rankings: a monotonic transformation to blend rankings from heterogeneous domains", Proceedings of the 19th ACM Conference on Information and Knowledge Management (CIKM), 2010. (short) (pdf)

130.   Taesup Moon, Lihong Li, Wei Chu, Ciya Liao, Zhaohui Zheng, Yi Chang, " Online learning for recency search ranking using real-time user feedback", Proceedings of the 19th ACM Conference on Information and Knowledge Management (CIKM), 2010. (short) (pdf)

131.   Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, Keke Chen, "Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking", Proceedings of the 23rd International Conference on Computational Linguistics (COLING), 2010. (pdf)

132.   Yoshiyuki Inagaki, Narayanan Sadagopan, Georges Dupret, Anlei Dong, Ciya Liao, Yi Chang, Zhaohui Zheng, "Session Based Click Features for Recency Ranking", Proceedings of the 24th AAAI Conference on Artificial Intelligence (AAAI), 2010. (pdf)

133.   Bo Long, Olivier Chapelle, Ya Zhang, Yi Chang, Zhaohui Zheng, Belle Tseng, "Active Learning for Ranking through Expected Loss Optimization", Proceedings of the 33rd Annual ACM SIGIR Conference (SIGIR), 2010. (pdf)

134.   Anlei Dong, Ruiqiang Zhang, Pranam Kolari, Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, Hongyuan Zha, "Time is of the essence: improving recency ranking using Twitter data", Proceedings of the 19th International World Wide Web Conference (WWW), 2010. (pdf)

135.   Anlei Dong, Yi Chang, Zhaohui Zheng, Gilad Mishne, Jing Bai, Ruiqiang Zhang, Karolina Buchner, Ciya Liao, Fernando Diaz, "Towards Recency Ranking in Web Search", Proceedings of International conference on Web Search and Data Mining (WSDM), 2010. (pdf)

136.   Taesup Moon, Alex Smola, Yi Chang, Zhaohui Zheng, "IntervalRank - Isotonic Regression with Listwise and Pairwise Constraints", Proceedings of International conference on Web Search and Data Mining (WSDM), 2010. (pdf)

137.   Yi Chang, Anlei Dong, Ciya Liao, Zhaohui Zheng, "Enhancing Topical Ranking with Preferences from Click-Through Data", Proceedings of the 32th Annual ACM SIGIR Conference (SIGIR), 2009. (short) (pdf)

138.   Mingrui Wu, Yi Chang, Zhaohui Zheng, Hongyuan Zha, "Smoothing DCG for Learning to Rank: A Novel Approach Using Smoothed Hinge Functions", Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM), 2009. (short) (pdf)

139.   Xin Li, Fan Li, Shihao Ji, Zhaohui Zheng, Yi Chang, Anlei Dong, "Incorporating Robustness into Web Ranking Evaluation", Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM), 2009. (short) (pdf)

140.   Jing Bai, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Gordon Sun, Belle Tseng, Zhaohui Zheng, Yi Chang, "Multi-Task Learning for Learning to Rank in Web Search", Proceedings of the 18th ACM Conference on Information and Knowledge Management (CIKM), 2009. (short) (pdf)

141.   Anlei Dong, Yi Chang, Shihao Ji, Ciya Liao, Xin Li, Zhaohui Zheng, "Empirical Exploitation of Click Data for Task Specific Ranking", Proceedings of 2009 Conference on Empirical Methods on Natural Language Processing (EMNLP), 2009. (pdf)

142.   Ruiqiang zhang, Yi Chang, Zhaohui Zheng, Donald Metzler, Jian-Yun Nie, "Search Engine Adaptation by Feedback Control Adjustment for Time-sensitive Query", Proceedings of North American Chapter of the Association for Computational Linguistics - Human Language Technologies conference (NAACL-HLT), 2009. (short) (pdf)

143.   Jing Bai, Yi Chang, Hang Cui, Zhaohui Zheng, Gordon Sun, Xin Li, "Investigation of Partial Query Proximity in Web Search". Proceedings of the 17th International World Wide Web Conference (WWW), 2008. (short) (pdf)

144.   Yi Chang, Ying Zhang, Jie Yang, "Enhancing Image-based Arabic Document Translation Using a Noisy Channel Correction Model". Proceedings of MT Summit XI (MT Summit), 2007. (pdf)

145.   Yi Chang, Rong Yan, Datong Chen, Jie Yang, "People Identification with Limited Labels in Privacy-Protected Video'', Proceedings of IEEE International Conference on Multimedia & Expo (ICME), 2006. (short) (pdf)

146.   Yi Chang, Hongbo Xu, Shuo Bai, ''A re-examination of IR techniques in QA system'', Proceedings of the 1st International Joint Conference of Natural Language Processing (IJCNLP), 2004. (pdf)

147.   Yi Chang, Hongbo Xu, Shuo Bai, ''TREC 2003 Question Answering Track at CAS-ICT'', Proceedings of the 12th Text Retrieval Conference Notebook (TREC), 2003. (pdf)

Patents

1.     Dawei Yin, Jiliang Tang, Yi Chang, "Automatic Social Media Content Timeline Summarization Method and Apparatus", Patent Application No. 15/200,922, Yahoo! Inc. 2016. (Patent number 10,430,718, Granted in 2019)

2.     Jiliang Tang, Dawei Yin, Hongbo Deng, Tim Daly, Chao Tan, Jean-Marc Langlois, Yi Chang, "Method and System for Rewriting a Query", Patent Application No. 15/130,217, Yahoo! Inc. 2016.

3.     Yunlong He, Dawei Yin, Yi Chang, "Computerized system and method for high-quality and high-ranking digital content discovery", Patent Application No. 15/074,028, Yahoo! Inc. 2016. (Patent number 10,482,091, Granted in 2019)

4.     Yuening Hu, Changsung Kang, Dawei Yin, Yi Chang, "Predicting locations for web pages and related techniques", Patent Application No. 14/868,154, Yahoo! Inc. 2015. (Patent number 10,585,960, Granted in 2020)

5.     Shiyu Chang, Jiliang Tang, Dawei Yin, Yi Chang, "Method and system for recommending content", Patent Application No. 14/983,663, Yahoo! Inc. 2015.

6.     Manjana Chandrasekharan, Keiko Horiguchi, Amanda Stent, Ricardo Baeza-Yates, Jeffrey Kuwano, Achint Thomas, Yi Chang, "Audio verification", Patent Application No. 14/847,742, Yahoo! Inc. 2015. (Patent number 10,277,581, Granted in 2019)

7.     Makoto Yamada, Yi Chang, "Transition event detection", Patent Application No. 14/601,128, Yahoo! Inc. 2015.

8.     Lizi Zhang, Hongbo Deng, Amit Goyal, Yi Chang, Ricardo Baeza-Yates, "Computerized system and method for search query auto-completion", Patent Application No. 14/869,435, Yahoo! Inc. 2015. (Patent number 10,049,149, Granted in 2018)

9.     Dawei Yin, Pengyuan Wang, Hua Ouyang, Yi Chang, Jean-Marc Langlois, "Method and system for ranking search content", Patent Application No. 14/959,122, Yahoo! Inc. 2015.

10.  Makoto Yamada, Chao Qin, Hua Ouyang, Achint Thomas, Yi Chang, "Large-scale Anomaly Detection with Relative Density-Ratio Estimation", Patent Application No. 14/634,515, Yahoo! Inc. 2015.

11.  Changsung Kang, Yuening Hu, Dawei Yin, Yi Chang, "Location-sensitive ranking for search and related techniques", Patent Application No. 14/868,135, Yahoo! Inc. 2015. (Patent number 10,592,514, Granted in 2020)

12.  Pengyuan Wang, Dawei Yin, Yi Chang, Jian Yang, Wei Sun, "Systems and methods for measuring complex online strategy effectiveness", Patent Application No. 14/587,328, Yahoo! Inc. 2014.

13.  Jia Li, Yi Chang, Xiangnan Kong, "System and method for large-scale multi-label learning using incomplete label assignments", Patent Application No. 14/543,133, Yahoo! Inc. 2014. (Patent Number 10,325,220, Granted in 2019)

14.  Makoto Yamada, Hua Ouyang, Yi Chang, Avishek Saha, "Feature Selection", Patent Application No. 14/516,471, Yahoo! Inc. 2014. (Patent number 10,235,636, Granted in 2019)

15.  Hongbo Deng, Anlei Dong, Shenhong Zhu, Jiuhe Gan, Yi Chang, "Local query ranking for search assist method and apparatus", Patent Application No. 14/453,915, Yahoo! Inc. 2014.

16.  Jie Luo, Yi Chang, Scott Gaffney, "Graphical interface presentation of search results", Patent Application No. 14/497,591, Yahoo! Inc. 2014. (Patent Number 10,216,844, Granted in 2019)

17.  Hongbo Deng, Anlei Dong, Shenhong Zhu, Jiuhe Gan, Sudarshan Lamkhede, Yi Chang, "Method and system for providing query suggestions including entities", Application Number: 14/265,900, Yahoo! Inc. 2014. (Patent Number 9,836,554, Granted in 2017)

18.  Amit Goyal, Lizi Zhang, Weize Kong, Hongbo Deng, Anlei Dong, Yi Chang, "Method and system for providing query suggestions based on user feedback", Patent Application No. 14/546,635, Yahoo! Inc. 2014.

19.  Yi Chang, Anlei Dong, "Ranking Products Using Purchase Day Based Time Windows", Patent Application No. 13/662,159, Yahoo! Inc. 2012. (Patent Number 8,880,518, Granted in 2014)

20.  Nageswara Pobbathi, Anlei Dong, Yi Chang, "Automated Categorization of Products in a Merchant Catalog", Patent Application No. 13/720,703, Yahoo! Inc. 2012. (Patent Number 10,528,907, Granted in 2020)

21.  Anlei Dong, Jiang Bian, Xiaofeng He, Srihari Reddy, Yi Chang, "Method or system for content recommendations", Patent Application No. 13/348,573, Yahoo! Inc. 2011.

22.  Nageswara Pobbathi, Yi Chang, Anlei Dong, Bo Long, Vignesh Murugesan, Chi-Chung Chan, "Method and System for Customizing a Web Site", Patent Application No. 13/647,581, Yahoo! Inc. 2011. (Patent Number 9,268,859, Granted in 2016)

23.  Taesup Moon, Zhaohui Zheng, Yi Chang, Pranam Kolari, Xuanhui Wang, Yuanhua Lv, "Related News Articles", Patent Application No. 13/298,932, Yahoo! Inc. 2011. (Patent Number 8,713,028, Granted in 2014)

24.  Yi Chang, Zhaohui Zheng, Fernando David Diaz, Jing Bai, "Cross-Market Model Adaptation with Pairwise Preference Data", Patent Application No. 12/966,983, Yahoo! Inc., 2010. (Patent Number 8,489,590, Granted in 2013)

25.  Pranam Kolari, Ruiqiang Zhang, Yi Chang, Anlei Dong, Zhaohui Zheng, Lei Duan, "Micro-Blog Message Filtering", Patent Application No. 12/857,000, Yahoo! Inc., 2010.

26.  Srinivas Vadrevu, Yi Chang, Zhaohui Zheng, Bo Long, "Clustering of search results", Patent Application No. 12/835,954, Yahoo! Inc., 2010. (Patent Number 9,443,008, Granted in 2016)

27.  Anlei Dong, Pranam Kolari, Ruiqiang Zhang, Jing Bai, Yi Chang, Zhaohui Zheng, "Ranking of Search Results Based on Microblog data", Patent Application No. 12/749,972, Yahoo! Inc., 2010. (Patent Number 8,751,511, Granted in 2014)

28.  Yoshiyuki Inagaki, Narayanan Sadagopan, Georges Dupret, Ciya Liao, Anlei Dong, Yi Chang, Zhaohui Zheng, "Session Based Click Features for Recency Ranking (I)", Patent Application No. 12/725,310, Yahoo! Inc., 2010. (Patent Number 8,255,390, Granted in 2012)

29.  Yoshiyuki Inagaki, Narayanan Sadagopan, Georges Dupret, Ciya Liao, Anlei Dong, Yi Chang, Zhaohui Zheng, "Session Based Click Features for Recency Ranking (II)", Patent Application No. 12/725,357, Yahoo! Inc., 2010. (Patent Number 8,326,815, Granted in 2012)

30.  Shihao Ji, Anlei Dong, Ciya Liao, Yi Chang, Zhaohui Zheng, Olivier Chapelle, Gordon Guo-Zheng Sun, Hongyuan Zha, "Global and topical ranking of search results using user clicks", Patent Application No. 12/533,564, Yahoo! Inc., 2009.

31.  Anlei Dong, Yi Chang, Ruiqiang Zhang, Zhaohui Zheng, Gilad Mishne, Jing Bai, Karolina Buchner, Ciya Liao, Shihao Ji, Gilbert Leung, Georges Dupret, Ling Liu, "Incorporating Recency in Network Search Using Machine Learning", Patent Application No. 12/579,855, Yahoo! Inc., 2009. (Patent Number 8,886,641, Granted in 2014)

32.  Ruiqiang Zhang, Yi Chang, Anlei Dong, Zhaohui Zheng, "Search Ranking for Time-Sensitive Queries by Feedback Control", Patent Application No. 12/576,534, Yahoo! Inc., 2009.

Invited Talks

·       University of Virginia, University of Washington, Arizona State University, University of Illinois Urbana-Champaign, University of Illinois at Chicago, University of Michigan (USA);

·       University of Edinburgh, University of Aberdeen (Europe);

·       University of Technology Sydney (Australia);

·       Hong Kong University of Science and Technology, The Chinese University of Hong Kong, Hong Kong Baptist University (Hong Kong);

·       Tsinghua University, Fudan University, Jilin University, National University of Defense Technology, Chinese Academy of Sciences, Peking University, Tianjin University, Renmin University, Huazhong University of Science and Technology (China Mainland).

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