| 2026 | AAAI | Cross Modal Fine-grained Alignment via Granularity-aware and Region-uncertain Modeling. | Jiale Liu, Haoming Zhou, Yishu Liu, Bingzhi Chen, Yuncheng Jiang |
| 2026 | ACL | One Cognitive Loop Is Enough: SODA unlocks Pure-Text Spatial Reasoning in Large Language Models. | Shunwen Bai, Jiahuan Zhang, Haoran Huang, Yurun Wang, Jiale Liu, Yanxi Wu, Ningzhe Yu, Yudong Gao, Mingjun Cheng |
| 2026 | ACL | TeamFusion: Supporting Open-ended Teamwork with Multi-Agent Systems. | Jiale Liu, Victor S. Bursztyn, Lin Ai, Haoliang Wang, Sunav Choudhary, Saayan Mitra, Qingyun Wu |
| 2026 | ACL | Exposing Privacy Risks in Graph Retrieval-Augmented Generation. | Jiale Liu, Jiahao Zhang, Suhang Wang |
| 2026 | EACL | Do Images Speak Louder than Words? Investigating the Effect of Textual Misinformation in VLMs. | Chi Zhang, Wenxuan Ding, Jiale Liu, Mingrui Wu, Qingyun Wu, Ray Mooney |
| 2026 | HCI | Research on the Mechanism of the Impact of Physical Exercise on Psychological Resilience of Flight Trainees in Different Phases of Flight Training. | Jiuxia Guo, Jiale Liu, Guoxuan He, Yi Yang |
| 2025 | AAAI | Self-Explainable Graph Transformer for Link Sign Prediction. | Lu Li, Jiale Liu, Xingyu Ji, Maojun Wang, Zeyu Zhang |
| 2025 | EMNLP | SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement. | Chelsi Jain, Yiran Wu, Yifan Zeng, Jiale Liu, Shengyu Dai, Zhenwen Shao, Qingyun Wu, Huazheng Wang |
| 2025 | EMNLP | Divide, Optimize, Merge: Scalable Fine-Grained Generative Optimization for LLM Agents. | Jiale Liu, Yifan Zeng, Shaokun Zhang, Chi Zhang, Malte Hjmark-Bertelsen, Marie Normann Gadeberg, Huazheng Wang, Qingyun Wu |
| 2025 | ICML | Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems. | Shaokun Zhang, Ming Yin, Jieyu Zhang, Jiale Liu, Zhiguang Han, Jingyang Zhang, Beibin Li, Chi Wang, Huazheng Wang, Yiran Chen, Qingyun Wu |
| 2024 | ICLR | IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models. | Shaokun Zhang, Xiaobo Xia, Zhaoqing Wang, Ling-Hao Chen, Jiale Liu, Qingyun Wu, Tongliang Liu |
| 2024 | ICML | Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints. | Xiaobo Xia, Jiale Liu, Shaokun Zhang, Qingyun Wu, Hongxin Wei, Tongliang Liu |
| 2024 | ICML | Offline Training of Language Model Agents with Functions as Learnable Weights. | Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu |
| 2024 | IGARSS | Few-Shot Object Detection on Remote Sensing Images based on Diverse Regional Feature Generation. | Shun Zhang, Zunheng Chu, Tao He, Yaohui Xu, Jiale Liu, Shaohui Mei |
| 2023 | ICASSP | Prototype-Based Layered Federated Cross-Modal Hashing. | Jiale Liu, Yu-Wei Zhan, Xin Luo, Zhen-Duo Chen, Yongxin Wang, Xin-Shun Xu |
| 2023 | ICLR | Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning. | Xiaobo Xia, Jiale Liu, Jun Yu, Xu Shen, Bo Han, Tongliang Liu |
| 2021 | GLOBECOM | Pri-PGD: Forging privacy-preserving graph towards spectral-based graph neural network. | Yong Zeng, Yixin Li, Jiale Liu, Jianfeng Ma, Zhihong Liu |
| 2021 | INFOCOM | LPDBN: A Privacy Preserving Scheme for Deep Belief Network. | Yong Zeng, Tong Dong, Qingqi Pei, Jiale Liu, Jianfeng Ma |
| 2019 | ISI | Membership Detection for Real-world Groups Hidden in Social Network. | Jiale Liu, Yongzhong He |
| 2009 | CloudCom | Cloud Computing: A Statistics Aspect of Users. | Gansen Zhao, Jiale Liu, Yong Tang, Wei Sun, Feng Zhang, Xiao-ping Ye, Na Tang |