| 2026 | ACL | Graph-Based Chain-of-Thought Pruning for Reducing Redundant Reflections in Reasoning LLMs. | Hongyuan Yuan, Xinran He, Run Shao, Bolei He, Xianwei Xue, Mengke Chen, Qiutong Pan, Haiwei Wang, Haifeng Li |
| 2026 | ACL | Don't Act Blindly: Robust GUI Automation via Action-Effect Verification and Self-Correction. | Yuzhe Zhang, Xianwei Xue, Xingyong Wu, Mengke Chen, Chen Liu, Xinran He, Run Shao, Feiran Liu, Huanmin Xu, Qiutong Pan, Haiwei Wang |
| 2025 | ACL | RISE: Reasoning Enhancement via Iterative Self-Exploration in Multi-hop Question Answering. | Bolei He, Xinran He, Mengke Chen, Xianwei Xue, Ying Zhu, Zhen-Hua Ling |
| 2025 | EMNLP | Select to Know: An Internal-External Knowledge Self-Selection Framework for Domain-Specific Question Answering. | Bolei He, Xinran He, Run Shao, Shanfu Shu, Xianwei Xue, Mingquan Cheng, Haifeng Li, Zhen-Hua Ling |
| 2024 | ACL | Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. | Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic |
| 2024 | EMNLP | Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation. | Bolei He, Nuo Chen, Xinran He, Lingyong Yan, Zhenkai Wei, Jinchang Luo, Zhen-Hua Ling |
| 2022 | WSDM | Friend Story Ranking with Edge-Contextual Local Graph Convolutions. | Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah |
| 2021 | ICWSM | Network Inference from a Mixture of Diffusion Models for Fake News Mitigation. | Karishma Sharma, Xinran He, Sungyong Seo, Yan Liu |
| 2017 | WSDM | Not Enough Data?: Joint Inferring Multiple Diffusion Networks via Network Generation Priors. | Xinran He, Yan Liu |
| 2016 | KDD | Robust Influence Maximization. | Xinran He, David Kempe |
| 2016 | WSDM | Understanding Diffusion Processes: Inference and Theory. | Xinran He |
| 2015 | AISTATS | Model Selection for Topic Models via Spectral Decomposition. | Dehua Cheng, Xinran He, Yan Liu |
| 2015 | ICML | HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades. | Xinran He, Theodoros Rekatsinas, James R. Foulds, Lise Getoor, Yan Liu |
| 2015 | SDM | On Influential Nodes Tracking in Dynamic Social Networks. | Xiaodong Chen, Guojie Song, Xinran He, Kunqing Xie |
| 2014 | KDD | Stability of influence maximization. | Xinran He, David Kempe |
| 2014 | KDD | Practical Lessons from Predicting Clicks on Ads at Facebook. | Xinran He, Junfeng Pan, Ou Jin, Tianbing Xu, Bo Liu, Tao Xu, Yanxin Shi, Antoine Atallah, Ralf Herbrich, Stuart Bowers, Joaquin Quionero Candela |
| 2014 | KDD | GLAD: group anomaly detection in social media analysis. | Qi Rose Yu, Xinran He, Yan Liu |
| 2012 | SDM | Influence Blocking Maximization in Social Networks under the Competitive Linear Threshold Model. | Xinran He, Guojie Song, Wei Chen, Qingye Jiang |