Xialong Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
6
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Fairness-Aware Design for Contextual Experiments: Guaranteeing Reliability and Equity in Heterogeneous Subgroups. | Guangyan Gan, Ling Zhang, Yanhua Cheng, Yongxiang Tang, Kaiyuan Li, Xialong Liu, Peng Jiang |
| 2026 | SIGIR | ZIPBid: Hierarchical Zero-shot Incremental Spend Planning for Auto-bidding. | Yunke Bai, Wenzheng Shu, Jinan Pang, Wentao Bai, Yunshan Peng, Ji Wu, Yanxiang Zeng, Kaiyuan Li, Xialong Liu |
| 2026 | SIGIR | R&F-Inventory: A Large-Scale Dataset for Monotonic Inventory Estimation in Reach and Frequency Advertising. | Yunshan Peng, Ji Wu, Wentao Bai, Yunke Bai, Jinan Pang, Wenzheng Shu, Yanxiang Zeng, Xialong Liu, Peng Jiang |
| 2026 | SIGIR | OPS: An Order-Preserving Sorting Network for Information Retrieval. | Chao Wang, Yongxiang Tang, Guikai Luan, Kaiyuan Li, Yanhua Cheng, Xialong Liu, Shu Wu, Peng Jiang |
| 2025 | CIKM | 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 |
| 2025 | ICML | Learning Monotonic Probabilities with a Generative Cost Model. | Yongxiang Tang, Yanhua Cheng, Xiaocheng Liu, Jiaochen Chen, Yanxiang Zeng, Ning Luo, Pengjia Yuan, Xialong Liu, Peng Jiang |
| 2025 | WWW | 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 |
| 2025 | WWW | 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 |
| 2025 | WWW | 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, Peng Jiang |
| 2025 | WSDM | 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 |
| 2023 | CIKM | Tutorial: Data Denoising Metrics in Recommender Systems. | Pengfei Wang, Chenliang Li, Lixin Zou, Zhichao Feng, Kaiyuan Li, Xiaochen Li, Xialong Liu, Shangguang Wang |
| 2022 | CIKM | CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems. | Yongxiang Tang, Wentao Bai, Guilin Li, Xialong Liu, Yu Zhang |
| 2022 | SIGIR | Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction. | Xiaochen Li, Jian Liang, Xialong Liu, Yu Zhang |