Mining the Impact of Investor Sentiment on Stock Market from WeChat. - Haiyuan Zhao; Dannuo Wang; Mingyan Wang; Xinrui He; Jian Jin (WHICEB, 2019)

Evaluation and Prediction of Network QoS Based on Multidimensional Data. - Mingwei Sun; Qingwei Zhang; Haiyuan Zhao (CSW, 2022)

Topic attention encoder: A self-supervised approach for short text clustering. - Jian Jin; Haiyuan Zhao; Ping Ji (J. Inf. Sci., 2022)

Uncovering ChatGPT's Capabilities in Recommender Systems. - Sunhao Dai; Ninglu Shao; Haiyuan Zhao; Weijie Yu 003; Zihua Si; Chen Xu 010; Zhongxiang Sun; Xiao Zhang 034; Jun Xu 001 (RecSys, 2023)

Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. - Haiyuan Zhao; Lei Zhang; Jun Xu 001; Guohao Cai; Zhenhua Dong; Ji-Rong Wen (RecSys, 2023)

Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition. - Haiyuan Zhao; Jun Xu 001; Xiao Zhang 034; Guohao Cai; Zhenhua Dong; Ji-Rong Wen (SIGIR-AP, 2023)

Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking. - Haiyuan Zhao; Jun Xu 001; Xiao Zhang 034; Guohao Cai; Zhenhua Dong; Ji-Rong Wen (WSDM, 2023)

Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. - Haiyuan Zhao; Guohao Cai; Jieming Zhu; Zhenhua Dong; Jun Xu 001; Ji-Rong Wen (KDD, 2024)

Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents. - Haoyu Wang; Sunhao Dai; Haiyuan Zhao; Liang Pang; Xiao Zhang 034; Gang Wang 056; Zhenhua Dong; Jun Xu 001; Ji-Rong Wen (ICLR, 2025)

Uncertainty-aware evidential learning for legal case retrieval with noisy correspondence. - Weicong Qin; Weijie Yu 003; Kepu Zhang; Haiyuan Zhao; Jun Xu 001; Ji-Rong Wen (Inf. Sci., 2025)

Inference Computation Scaling for Feature Augmentation in Recommendation Systems. - Weihao Liu; Zhaocheng Du; Haiyuan Zhao; Wenbo Zhang; Xiaoyan Zhao; Gang Wang 056; Zhenhua Dong; Jun Xu 001 (CoRR, 2025)