N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data. - Makoto Yamada; Avishek Saha; Hua Ouyang; Dawei Yin 003; Yi Chang 001 (CoRR, 2014)

Causal Inference via Sparse Additive Models with Application to Online Advertising. - Wei Sun 027; Pengyuan Wang 001; Dawei Yin 003; Jian Yang 002; Yi Chang 001 (AAAI, 2015)

Consistent Collective Matrix Completion under Joint Low Rank Structure. - Suriya Gunasekar; Makoto Yamada; Dawei Yin 003; Yi Chang 001 (AISTATS, 2015)

Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis. - Pengyuan Wang 001; Wei Sun 027; Dawei Yin 003; Jian Yang 002; Yi Chang 001 (WSDM, 2015)

The 2nd workshop on Vertical Search Relevance at WSDM 2015. - Dawei Yin 003; Chih-Chieh Hung; Rui Li 049; Yi Chang 001 (WSDM, 2015)

What Size Should A Mobile Ad Be? - Pengyuan Wang 001; Wei Sun 027; Dawei Yin 003 (WWW (Companion Volume), 2015)

Rethink Targeting: Detect 'Smart Cheating' in Online Advertising through Causal Inference. - Pengyuan Wang 001; Dawei Yin 003; Jian Yang 002; Yi Chang 001; Marsha Meytlis (WWW (Companion Volume), 2015)

Learning to rank related entities in Web search. - Changsung Kang; Dawei Yin 003; Ruiqiang Zhang; Nicolas Torzec; Jianzhang He; Yi Chang 001 (Neurocomputing, 2015)

Recommendation with Social Dimensions. - Jiliang Tang; Suhang Wang; Xia Hu 001; Dawei Yin 003; Yingzhou Bi; Yi Chang 001; Huan Liu 001 (AAAI, 2016)

Learning to Rewrite Queries. - Yunlong He; Jiliang Tang; Hua Ouyang; Changsung Kang; Dawei Yin 003; Yi Chang 001 (CIKM, 2016)

Timeline Summarization from Social Media with Life Cycle Models. - Yi Chang 001; Jiliang Tang; Dawei Yin 003; Makoto Yamada; Yan Liu 002 (IJCAI, 2016)

Positive-Unlabeled Learning in Streaming Networks. - Shiyu Chang; Yang Zhang 001; Jiliang Tang; Dawei Yin 003; Yi Chang 001; Mark A. Hasegawa-Johnson; Thomas S. Huang (KDD, 2016)

Ranking Relevance in Yahoo Search. - Dawei Yin 003; Yuening Hu; Jiliang Tang; Tim Daly Jr.; Mianwei Zhou; Hua Ouyang; Jianhui Chen; Changsung Kang; Hongbo Deng; Chikashi Nobata; Jean-Marc Langlois; Yi Chang 001 (KDD, 2016)

Learning Query and Document Relevance from a Web-scale Click Graph. - Shan Jiang 001; Yuening Hu; Changsung Kang; Tim Daly Jr.; Dawei Yin 003; Yi Chang 001; ChengXiang Zhai (SIGIR, 2016)

Leveraging User Interaction Signals for Web Image Search. - Neil O'Hare; Paloma de Juan; Rossano Schifanella; Yunlong He; Dawei Yin 003; Yi Chang 001 (SIGIR, 2016)

Beyond Ranking: Optimizing Whole-Page Presentation. - Yue Wang 035; Dawei Yin 003; Luo Jie; Pengyuan Wang 001; Makoto Yamada; Yi Chang 001; Qiaozhu Mei (WSDM, 2016)

Streaming Recommender Systems. - Shiyu Chang; Yang Zhang 001; Jiliang Tang; Dawei Yin 003; Yi Chang 001; Mark A. Hasegawa-Johnson; Thomas S. Huang (WWW, 2017)

Large-Scale Location Prediction for Web Pages. - Yuening Hu; Changsung Kang; Jiliang Tang; Dawei Yin 003; Yi Chang 001 (IEEE Trans. Knowl. Data Eng., 2017)

Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. - Makoto Yamada; Jiliang Tang; Jose Lugo-Martinez; Ermin Hodzic; Raunak Shrestha; Avishek Saha; Hua Ouyang; Dawei Yin 003; Hiroshi Mamitsuka; Süleyman Cenk Sahinalp; Predrag Radivojac; Filippo Menczer; et al. (IEEE Trans. Knowl. Data Eng., 2018)

Optimizing Whole-Page Presentation for Web Search. - Yue Wang 035; Dawei Yin 003; Luo Jie; Pengyuan Wang 001; Makoto Yamada; Yi Chang 001; Qiaozhu Mei (ACM Trans. Web, 2018)

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. - Qiang Huang; Makoto Yamada; Yuan Tian 016; Dinesh Singh 001; Dawei Yin 003; Yi Chang 001 (CoRR, 2020)

Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. - Siyuan Guo 001; Lixin Zou; Yiding Liu; Wenwen Ye; Suqi Cheng; Shuaiqiang Wang; Hechang Chen; Dawei Yin 003; Yi Chang 001 (SIGIR, 2021)

Unbiased Learning to Rank in Feeds Recommendation. - Xinwei Wu 001; Hechang Chen; Jiashu Zhao; Li He; Dawei Yin 003; Yi Chang 001 (WSDM, 2021)

Knowing Before Seeing: Incorporating Post-retrieval Information into Pre-retrieval Query Intention Classification. - Xueqing Ma; Xiaochi Wei; Yixing Gao; Runyang Feng; Dawei Yin 003; Yi Chang 001 (KSEM (2), 2023)

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. - Qingyao Ai; Ting Bai; Zhao Cao; Yi Chang 001; Jiawei Chen 007; Zhumin Chen; Zhiyong Cheng 001; Shoubin Dong; Zhicheng Dou; Fuli Feng; Shen Gao; Jiafeng Guo; et al. (AI Open, 2023)

Exploring Memorization in Fine-tuned Language Models. - Shenglai Zeng; Yaxin Li 001; Jie Ren 019; Yiding Liu; Han Xu 002; Pengfei He; Yue Xing 002; Shuaiqiang Wang; Jiliang Tang; Dawei Yin 003 (ACL (1), 2024)

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). - Shenglai Zeng; Jiankun Zhang; Pengfei He; Yiding Liu; Yue Xing 002; Han Xu 002; Jie Ren 019; Yi Chang 001; Shuaiqiang Wang; Dawei Yin 003; Jiliang Tang (ACL (Findings), 2024)

A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. - Jie Ren 019; Han Xu 002; Yiding Liu; Yingqian Cui; Shuaiqiang Wang; Dawei Yin 003; Jiliang Tang (NAACL-HLT (Findings), 2024)