| 2026 | ACL | Eliminating Out-of-Domain Recommendations in LLM-based Recommender Systems: A Unified View. | Hao Liao, Jiwei Zhang, Jianxun Lian, Wensheng Lu, Mingqi Wu, Shuo Wang, Yong Zhang, Yitian Huang, Mingyang Zhou, Rui Mao |
| 2026 | ACL | Knowing-but-Doing: Diagnosing and Defending Role-Play-Driven LLMs Jailbreaks via Moral Disengagement. | Haiming Qin, Jianxun Lian, Qimin Zhong, Mingyang Zhou, Hao Liao, Naipeng Chao |
| 2026 | ACL | PersonaArena: Dynamic Simulation for Evaluating and Enhancing Persona-Level Role-Playing in Large Language Models. | Wenlong Shi, Jianxun Lian, Mingqi Wu, Haiming Qin, Mingyang Zhou, Xing Xie, Naipeng Chao, Hao Liao |
| 2026 | ACL | Let Retrievers Think Before Action: Thought-Augmented Embedding for Dense Retrieval. | Ruiran Yan, Wen Xiong, Ze Liu, Chaozhuo Li, Hao Liao, Defu Lian, Zheng Liu |
| 2026 | ACL | Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement. | Qimin Zhong, Hao Liao, Haiming Qin, Mingyang Zhou, Rui Mao, Wei Chen, Naipeng Chao |
| 2025 | ACL | AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark. | Jianlyu Chen, Nan Wang, Chaofan Li, Bo Wang, Shitao Xiao, Han Xiao, Hao Liao, Defu Lian, Zheng Liu |
| 2025 | ACL | Pretraining Context Compressor for Large Language Models with Embedding-Based Memory. | Yuhong Dai, Jianxun Lian, Yitian Huang, Wei Zhang, Mingyang Zhou, Mingqi Wu, Xing Xie, Hao Liao |
| 2025 | EMNLP | R-CHAR: A Metacognition-Driven Framework for Role-Playing in Large Language Models. | Haiming Qin, Jiwei Zhang, Wei Zhang, Kezhong Lu, Mingyang Zhou, Hao Liao, Rui Mao |
| 2025 | EMNLP | Hierarchical Reward Modeling for Fault Localization in Large Code Repositories. | Jiwei Zhang, Jianxun Lian, Haiming Qin, Mingyang Zhou, Kezhong Lu, Rui Mao, Hao Liao |
| 2025 | ICDM | Tracking Latent Communities Evolution with Hierarchical Edge Partition Models. | Xincan Yu, Nan Fang, Hao Liao, Sikun Yang |
| 2025 | WWW | Highly-efficient Minimization of Network Connectivity in Large-scale Graphs. | Mingyang Zhou, Gang Liu, Kezhong Lu, Hao Liao, Rui Mao |
| 2025 | WWW | Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width. | Zheng Liu, Chaofan Li, Shitao Xiao, Chaozhuo Li, Chen Jason Zhang, Hao Liao, Defu Lian, Yingxia Shao |
| 2024 | ACL | Aligning Large Language Models for Controllable Recommendations. | Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie |
| 2024 | IJCAI | Modeling Personalized Retweeting Behaviors for Multi-Stage Cascade Popularity Prediction. | Mingyang Zhou, Yanjie Lin, Gang Liu, Zuwen Li, Hao Liao, Rui Mao |
| 2024 | WWW | Accelerating the Decentralized Federated Learning via Manipulating Edges. | Mingyang Zhou, Gang Liu, Kezhong Lu, Rui Mao, Hao Liao |
| 2024 | WWW | A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. | Xu Huang, Jianxun Lian, Hao Wang, Hao Liao, Defu Lian, Xing Xie |
| 2023 | ACL | Explainable Recommendation with Personalized Review Retrieval and Aspect Learning. | Hao Cheng, Shuo Wang, Wensheng Lu, Wei Zhang, Mingyang Zhou, Kezhong Lu, Hao Liao |
| 2023 | IJCNN | Explainable Restaurant Closure Prediction through Co-Attentive Contrastive Learning. | Hao Cheng, Wei Zhang, Shuo Wang, Hao Liao |
| 2023 | KDD | MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection. | Hao Liao, Jiahao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie |
| 2022 | AAAI | Towards Fine-Grained Reasoning for Fake News Detection. | Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie |
| 2022 | DSAA | Community Splitter: A Network Embedding Method for Predicting Missing Links. | Shuo Wang, Ziqiang Wu, Sheng Bi, Zheng Zhang, Xiaomin Huang, Ming-Yang Zhou, Hao Liao |
| 2022 | EMNLP | A Joint Learning Framework for Restaurant Survival Prediction and Explanation. | Xin Li, Xiaojie Zhang, Peng Jia, Rui Mao, Ming-Yang Zhou, Xing Xie, Hao Liao |
| 2020 | ICWS | A Deep Concept-aware Model for predicting and explaining restaurant future status. | Hao Liao, Xiaojie Zhang, Xin Li, Ming-Yang Zhou, Alexandre Vidmer, Rui Mao |
| 2020 | WWW | RNR: A Generic Bayesian-based Framework for Enhancing Top-N Recommender Systems. | Rong-Qin Xu, Ming-Yang Zhou, Hao Liao |
| 2019 | PDCAT | RNC: Reliable Network Property Classifier Based on Graph Embedding. | Hao Liao, Qi-Xin Liu, Alexandre Vidmer, Ming-Yang Zhou, Rui Mao |
| 2012 | ISMIS | Measuring Quality, Reputation and Trust in Online Communities. | Hao Liao, Giulio Cimini, Mats Medo |
| 2010 | ICPADS | Small-World Social Relationship Awareness in Unstructured Peer-to-Peer Networks. | Hao Liao, Kuo-Chan Huang, Hung-Chang Hsiao |
| 2009 | ICPADS | Optimizing Unstructured Peer-to-Peer Overlays with Topology Awareness. | Hao Liao, Po-Shen Yeh, Hung-Chang Hsiao |
| 2008 | EUC | Load Balancing in Peer-to-Peer Networks Based on Sampling System States. | Hung-Chang Hsiao, I-Ta Lin, Hao Liao |
| 2006 | GPC | The Peering Problem in Tree-Based Master/Worker Overlays. | Hung-Chang Hsiao, Hao Liao |