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

Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction. - Xiaochen Li; Jian Liang 002; Xialong Liu; Yu Zhang (SIGIR, 2022)

Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction. - Xiaochen Li; Rui Zhong; Jian Liang 002; Xialong Liu; Yu Zhang (CoRR, 2022)

Soft Retargeting Network for Click Through Rate Prediction. - Xiaochen Li; Xin Song; Pengjia Yuan; Xialong Liu; Yu Zhang (CoRR, 2022)

Tutorial: Data Denoising Metrics in Recommender Systems. - Pengfei Wang 009; Chenliang Li; Lixin Zou; Zhichao Feng; Kaiyuan Li; Xiaochen Li; Xialong Liu; Shangguang Wang (CIKM, 2023)

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

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

EBaReT: Expert-guided Bag Reward Transformer for Auto Bidding. - Kaiyuan Li; Pengyu Wang; Yunshan Peng; Pengjia Yuan; Yanxiang Zeng; Rui Xiang; Yanhua Cheng; Xialong Liu; Peng Jiang (WWW (Companion Volume), 2025)

Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems. - Wenzheng Shu; Yanxiang Zeng; Yongxiang Tang; Teng Sha; Ning Luo; 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; 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; Yanhua Cheng; Xialong Liu; Peng Jiang 002; Kun Gai (CoRR, 2025)

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

EBaReT: Expert-guided Bag Reward Transformer for Auto Bidding. - Kaiyuan Li; Pengyu Wang; Yunshan Peng; Pengjia Yuan; Yanxiang Zeng; Rui Xiang; Yanhua Cheng; Xialong Liu; Peng Jiang 002 (CoRR, 2025)

Expert-Guided Diffusion Planner for Auto-Bidding. - Yunshan Peng; Wenzheng Shu; Jiahao Sun; Yanxiang Zeng; Jinan Pang; Wentao Bai; Yunke Bai; 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; Yanhua Cheng; Yanxiang Zeng; Chao Wang; Xialong Liu; Peng Jiang 002 (CoRR, 2025)