CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems. - Yongxiang Tang 001; Wentao Bai; Guilin Li 001; Xialong Liu; Yu Zhang 206 (CIKM, 2022)

Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context. - Moyu Zhang; Yongxiang Tang 001; Jinxin Hu; Yu Zhang 206 (SIGIR, 2024)

Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion. - Moyu Zhang; Yongxiang Tang 001; Yujun Jin; Jinxin Hu; Yu Zhang 206 (CIKM, 2025)

Learning Monotonic Probabilities with a Generative Cost Model. - Yongxiang Tang 001; Yanhua Cheng; Xiaocheng Liu; Jiaochen Chen; Yanxiang Zeng; Ning Luo 004; Pengjia Yuan; Xialong Liu; Peng Jiang 002 (ICML, 2025)

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain. - Rui Xia; Yanhua Cheng; Yongxiang Tang 001; Xiaocheng Liu; Xialong Liu; Lisong Wang; Peng Jiang 002 (WSDM, 2025)

Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement. - Hao Jiang 059; Yongxiang Tang 001; Yanxiang Zeng; Pengjia Yuan; Yanhua Cheng; Teng Sha; Xialong Liu; Peng Jiang 002 (WWW (Companion Volume), 2025)

Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems. - Wenzheng Shu; Yanxiang Zeng; Yongxiang Tang 001; Teng Sha; Ning Luo 004; Yanhua Cheng; Xialong Liu; Fan Zhou 002; Peng Jiang 002 (WWW (Companion Volume), 2025)

BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation. - Kaiyuan Li; Rui Xiang; Yong Bai; Yongxiang Tang 001; Yanhua Cheng; Xialong Liu; Peng Jiang 002; Kun Gai (CoRR, 2025)

CHIME: A Compressive Framework for Holistic Interest Modeling. - Yong Bai; Rui Xiang; Kaiyuan Li; Yongxiang Tang 001; Yanhua Cheng; Xialong Liu; Peng Jiang 002; Kun Gai (CoRR, 2025)

Learning Monotonic Probabilities with a Generative Cost Model. - Yongxiang Tang 001; Yanhua Cheng; Xiaocheng Liu; Chenchen Jiao; Yanxiang Zeng; Ning Luo 004; Pengjia Yuan; Xialong Liu; Peng Jiang 002 (CoRR, 2025)

INFNet: A Task-aware Information Flow Network for Large-Scale Recommendation Systems. - Kaiyuan Li; Dongdong Mao; Yongxiang Tang 001; Yanhua Cheng; Yanxiang Zeng; Chao Wang; Xialong Liu; Peng Jiang 002 (CoRR, 2025)

VQL: An End-to-End Context-Aware Vector Quantization Attention for Ultra-Long User Behavior Modeling. - Kaiyuan Li; Yongxiang Tang 001; Yanhua Cheng; Yong Bai; Yanxiang Zeng; Chao Wang; Xialong Liu; Peng Jiang 002 (CoRR, 2025)

Fairness-Aware Design for Contextual Experiments: Guaranteeing Reliability and Equity in Heterogeneous Subgroups. - Guangyan Gan; Ling Zhang; Yanhua Cheng; Yongxiang Tang 001; Kaiyuan Li; Xialong Liu; Peng Jiang 002 (AAAI, 2026)