E-commerce Recommendation with Weighted Expected Utility. - Zhichao Xu 001; Yi Han; Yongfeng Zhang; Qingyao Ai (CIKM, 2020)

Speech-Based Activity Recognition for Trauma Resuscitation. - Jalal Abdulbaqi; Yue Gu; Zhichao Xu 001; Chenyang Gao; Ivan Marsic; Randall S. Burd (ICHI, 2020)

A Zero Attentive Relevance Matching Network for Review Modeling in Recommendation System. - Hansi Zeng; Zhichao Xu 001; Qingyao Ai (ECIR (1), 2021)

Understanding the Effectiveness of Reviews in E-commerce Top-N Recommendation. - Zhichao Xu 001; Hansi Zeng; Qingyao Ai (ICTIR, 2021)

A Zero Attentive Relevance Matching Networkfor Review Modeling in Recommendation System. - Hansi Zeng; Zhichao Xu 001; Qingyao Ai (CoRR, 2021)

Effective Exposure Amortizing for Fair Top-k Recommendation. - Tao Yang 030; Zhichao Xu 001; Qingyao Ai (CoRR, 2022)

Learning to Rank Rationales for Explainable Recommendation. - Zhichao Xu 001; Yi Han; Tao Yang 030; Anh Tran; Qingyao Ai (CoRR, 2022)

Reinforcement Learning to Rank with Coarse-grained Labels. - Zhichao Xu 001; Anh Tran; Tao Yang 030; Qingyao Ai (CoRR, 2022)

FARA: Future-aware Ranking Algorithm for Fairness Optimization. - Tao Yang 030; Zhichao Xu 001; Zhenduo Wang; Qingyao Ai (CIKM, 2023)

Automated Generation of Security-Centric Descriptions for Smart Contract Bytecode. - Yu Pan; Zhichao Xu 001; Levi Taiji Li; Yunhe Yang; Mu Zhang 001 (ISSTA, 2023)

Vertical Allocation-based Fair Exposure Amortizing in Ranking. - Tao Yang 030; Zhichao Xu 001; Qingyao Ai (SIGIR-AP, 2023)

A Lightweight Constrained Generation Alternative for Query-focused Summarization. - Zhichao Xu 001; Daniel Cohen (SIGIR, 2023)

Marginal-Certainty-Aware Fair Ranking Algorithm. - Tao Yang 030; Zhichao Xu 001; Zhenduo Wang; Anh Tran; Qingyao Ai (WSDM, 2023)

Counterfactual Editing for Search Result Explanation. - Zhichao Xu 001; Hemank Lamba; Qingyao Ai; Joel R. Tetreault; Alex Jaimes (CoRR, 2023)

Reward-free Policy Imitation Learning for Conversational Search. - Zhenduo Wang; Zhichao Xu 001; Qingyao Ai (CoRR, 2023)

Context-aware Decoding Reduces Hallucination in Query-focused Summarization. - Zhichao Xu 001 (CoRR, 2023)

Interaction-level Membership Inference Attack against Recommender Systems with Long-tailed Distribution. - Da Zhong 001; Xiuling Wang; Zhichao Xu 001; Jun Xu 024; Wendy Hui Wang (CIKM, 2024)

Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression. - Zhichao Xu 001; Ashim Gupta; Tao Li 022; Oliver Bentham; Vivek Srikumar (EMNLP (Findings), 2024)

Multi-dimensional Evaluation of Empathetic Dialogue Responses. - Zhichao Xu 001; Jiepu Jiang (EMNLP (Findings), 2024)

CFE2: Counterfactual Editing for Search Result Explanation. - Zhichao Xu 001; Hemank Lamba; Qingyao Ai; Joel R. Tetreault; Alex Jaimes (ICTIR, 2024)

In-Context Example Ordering Guided by Label Distributions. - Zhichao Xu 001; Daniel Cohen; Bei Wang 001; Vivek Srikumar (NAACL-HLT (Findings), 2024)

An In-depth Investigation of User Response Simulation for Conversational Search. - Zhenduo Wang; Zhichao Xu 001; Vivek Srikumar; Qingyao Ai (WWW, 2024)

Multi-dimensional Evaluation of Empathetic Dialog Responses. - Zhichao Xu 001; Jiepu Jiang (CoRR, 2024)

RankMamba, Benchmarking Mamba's Document Ranking Performance in the Era of Transformers. - Zhichao Xu 001 (CoRR, 2024)

State Space Models are Strong Text Rerankers. - Zhichao Xu 001; Jinghua Yan; Ashim Gupta; Vivek Srikumar (CoRR, 2024)

A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability. - Zhichao Xu 001; Hansi Zeng; Juntao Tan; Zuohui Fu; Yongfeng Zhang; Qingyao Ai (ACM Trans. Inf. Syst., 2024)

A Survey of Model Architectures in Information Retrieval. - Zhichao Xu 001; Fengran Mo; Zhiqi Huang; Crystina Zhang; Puxuan Yu; Bei Wang 001; Jimmy Lin; Vivek Srikumar (CoRR, 2025)

Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate. - Ashim Gupta; Maitrey Mehta; Zhichao Xu 001; Vivek Srikumar (CoRR, 2025)

Distillation versus Contrastive Learning: How to Train Your Rerankers. - Zhichao Xu 001; Zhiqi Huang; Shengyao Zhuang; Ashim Gupta; Vivek Srikumar (CoRR, 2025)

ConvMix: A Mixed-Criteria Data Augmentation Framework for Conversational Dense Retrieval. - Fengran Mo; Jinghan Zhang 002; Yuchen Hui; Jia Ao Sun; Zhichao Xu 001; Zhan Su 002; Jian-Yun Nie (CoRR, 2025)