Lin Liu

2026

Towards Fair Graph Representation Learning by Overcoming Social Homophily.

Guixian Zhang|Guan Yuan|Debo Cheng|Lin Liu|Jiuyong Li|Shichao Zhang

ACM Transactions on Intelligent Systems and Technology (TIST) 2026 Volume 17 Issue 2

Multi-view debiasing representation learning for recommender systems.

Qingfeng Chen|Jianfeng Deng|Debo Cheng|Jiuyong Li|Lin Liu

Information Processing and Management 2026 Volume 63 Issue 2

Counterfactual samples constructing and training for commonsense statements estimation.

Chong Liu|Zaiwen Feng|Zhenyun Deng|Lin Liu|Jiuyong Li|Ruifang Zhai|Debo Cheng|Li Qin

Information Processing and Management 2026 Volume 63 Issue 4

Multistage Feedback-Driven Causal Discovery from Textual Data with Large Language Models.

Juntao Yang|Dayuan Cao|Kui Yu|Xiang Wang|Jing Yang|Lin Liu|Jiuyong Li

Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.

2025

Mitigating Propensity Bias of Large Language Models for Recommender Systems.

Guixian Zhang|Guan Yuan|Debo Cheng|Lin Liu|Jiuyong Li|Shichao Zhang

ACM Transactions on Information Systems (TOIS) 2025 Volume 43 Issue 6

Mitigating Latent Confounding Bias in Recommender Systems.

Jianfeng Deng|Qingfeng Chen|Debo Cheng|Xiaojing Du|Jiuyong Li|Lin Liu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025

Off-policy Evaluation for Multiple Actions in the Presence of Unobserved Confounders.

Haolin Wang|Lin Liu|Jiuyong Li|Ziqi Xu|Jixue Liu|Zehong Cao|Debo Cheng

Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025

2024

Integrating Fair Representation Learning with Fairness Regularization for Intersectional Group Fairness.

David Quashigah Dzakpasu|Jixue Liu|Jiuyong Li|Lin Liu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024

PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning.

Muhammad Anwar Ma'sum|Mahardhika Pratama|Savitha Ramasamy|Lin Liu|Habibullah Habibullah|Ryszard Kowalczyk

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024

2021

Training Neural Networks with Random Noise Images for Adversarial Robustness.

Ji-Young Park|Lin Liu|Jiuyong Li|Jixue Liu

CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021

2020

Leveraging burst in twitter network communities for event detection.

Jeffery Ansah|Lin Liu|Wei Kang|Jixue Liu|Jiuyong Li

World Wide Web (WWW) 2020 Volume 23 Issue 5

Evidence Weighted Tree Ensembles for Text Classification.

Md Zahidul Islam|Jixue Liu|Jiuyong Li|Lin Liu|Wei Kang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

2019

BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection.

Zhaolong Ling|Kui Yu|Hao Wang|Lin Liu|Wei Ding|Xindong Wu

ACM Transactions on Intelligent Systems and Technology (TIST) 2019 Volume 10 Issue 5

A Semantics Aware Random Forest for Text Classification.

Md Zahidul Islam|Jixue Liu|Jiuyong Li|Lin Liu|Wei Kang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.

A Graph is Worth a Thousand Words: Telling Event Stories using Timeline Summarization Graphs.

Jeffery Ansah|Lin Liu|Wei Kang|Selasi Kwashie|Jixue Li|Jiuyong Li

The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

2016

From Observational Studies to Causal Rule Mining.

Jiuyong Li|Thuc Duy Le|Lin Liu|Jixue Liu|Zhou Jin|Bing-Yu Sun|Saisai Ma

ACM Transactions on Intelligent Systems and Technology (TIST) 2016 Volume 7 Issue 2