Memory Defense: More Robust Classification via a Memory-Masking Autoencoder. - Eashan Adhikarla; Dan Luo 004; Brian D. Davison 001 (CoRR, 2022)

Model-based Unbiased Learning to Rank. - Dan Luo 004; Lixin Zou; Qingyao Ai; Zhiyu Chen 001; Dawei Yin; Brian D. Davison 001 (WSDM, 2023)

Unconfounded Propensity Estimation for Unbiased Ranking. - Dan Luo 004; Lixin Zou; Qingyao Ai; Zhiyu Chen 001; Chenliang Li; Dawei Yin; Brian D. Davison 001 (CoRR, 2023)

Efficient Sparse Attention needs Adaptive Token Release. - Chaoran Zhang; Lixin Zou; Dan Luo 004; Xiangyang Luo; Zihao Li 005; Min Tang; Chenliang Li (ACL (Findings), 2024)

Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation. - Dan Luo 004; Lixin Zou; Qingyao Ai; Zhiyu Chen 001; Chenliang Li; Dawei Yin; Brian D. Davison 001 (SIGIR, 2024)

Weak-to-Strong Honesty Alignment via Learning-to-Rank Supervision. - Yunfan Xie; Lixin Zou; Dan Luo 004; Min Tang; Chenliang Li (ACL (Findings), 2025)

Mitigating Language Confusion through Inference-time Intervention. - Yunfan Xie; Lixin Zou; Dan Luo 004; Min Tang; Chenliang Li; Liming Dong 003; Xiangyang Luo (COLING, 2025)

Flow Matching based Sequential Recommender Model. - Feng Liu; Lixin Zou; Xiangyu Zhao 001; Min Tang; Liming Dong 003; Dan Luo 004; Xiangyang Luo; Chenliang Li (CoRR, 2025)