Prof. LIANG, Bin 梁 斌 教授
Research Assistant Professor
PhD (Harbin Institute of Technology)
Research Interests :
* Natural Language Processing
* Large Language Models
* Affective Computing
* Multimodal Learning
Office: Room 610, William M.W. Mong Engineering Building
Tel: (852) 3943-8333
Email: bliang@se.cuhk.edu.hk
Biography
Bin Liang is a Research Assistant Professor in the Department of Systems Engineering and Engineering Management at CUHK. Before that, he worked as a Postdoctoral Fellow in the Department of Systems Engineering and Engineering Management at CUHK. He received his Ph.D. degree in Computer Science and Technology from Harbin Institute of Technology. His research interests lie in Natural Language Processing, Dialogue Systems, Affective Computing, Multimodal Learning, and Graph Learning.
Selected Publications
Yiming Du, Baojun Wang, Yifan Xiang, Zhaowei Wang, Wenyu Huang, Boyang Xue, Bin Liang, Xingshan Zeng, Fei Mi, Haoli Bai, Lifeng Shang, Jeff Z Pan, Yuxin Jiang, Kam-Fai Wong. Memory-T1: Reinforcement Learning for Temporal Reasoning in Multi-session Agents. The 14th International Conference on Learning Representations (ICLR 2026).
Zhiwei Zhang, Fei zhao, Rui Wang, Zezhong WANG, Bin Liang, Jiakang Wang, Yao Hu, Shaosheng Cao, Kam-Fai Wong. Robust Tool Use via Fission-GRPO: Learning to Recover from Execution Errors. The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026).
Yiming Du, Bingbing Wang, Yang He, Bin Liang, Baojun Wang, Zhongyang Li, Lin Gui, Jeff Z. Pan, Ruifeng Xu, Kam-Fai Wong. MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents. The 40th AAAI Conference on Artificial Intelligence (AAAI 2026): 30584-30592.
Bin Liang, Bingbing Wang, Zhixin Bai, Qiwei Lang, Mingwei Sun, Kaiheng Hou, Lanjun Zhou, Ruifeng Xu, Kam-Fai Wong. Reply With Sticker: New Dataset and Model for Sticker Retrieval. IEEE Transactions on Audio, Speech and Language Processing (TASLP), 2025, 3099-3110.
Bin Liang, Shiwei Chen, Lin Gui, Hui Wang, Yue Yu, Ruifeng Xu, Kam-Fai Wong. Centrality-guided Pre-training for Graph. The 13th International Conference on Learning Representations (ICLR 2025).
Bingbing Wang, Yiming Du, Bin Liang, Zhixin Bai, Min Yang, Baojun Wang, Kam-Fai Wong, Ruifeng Xu. A New Formula for Sticker Retrieval: Reply with Stickers in Multi-Modal and Multi-Session Conversation. The 39th AAAI Conference on Artificial Intelligence (AAAI 2025): 25327-25335.
Cai Ke, Yiming Du, Bin Liang, Yifan Xiang, Lin Gui, Zhongyang Li, Baojun Wang, Yue Yu, Hui Wang, Kam-Fai Wong, and Ruifeng Xu. Flexibly Utilize Memory for Long-Term Conversation via a Fragment-then-Compose Framework. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), pages 21119–21136.
Bin Liang, Lin Gui, Yulan He, Erik Cambria, Ruifeng Xu. Fusion and Discrimination: A Multimodal Graph Contrastive Learning Framework for Multimodal Sarcasm Detection. IEEE Transactions on Affective Computing (TAC), 2024, 15(4): 1874-1888.
Shenzhi Yang, Bin Liang, An Liu, Lin Gui, Xingkai Yao, Xiaofang Zhang. Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs. The 2024 International Conference on Machine Learning (ICML 2024): 56216-56234.
Yang Sun, Muyi Wang, Jianzhu Bao, Bin Liang, Xiaoyan Zhao, Caihua Yang, Min Yang, Ruifeng Xu. PITA: Prompting Task Interaction for Argumentation Mining. The 62nd Association for Computational Linguistics (ACL 2024): 5036-5049.
Bin Liang, Ang Li, Jingqian Zhao, Lin Gui, Min Yang, Yue Yu, Kam-Fai Wong, Ruifeng Xu. Multi-modal Stance Detection: New Datasets and Model. Findings of the Association for Computational Linguistics: ACL 2024: 12373-12387.
Bin Liang, Xiang Li, Lin Gui, Yonghao Fu, Yulan He, Min Yang, Ruifeng Xu. Few-Shot Aspect Category Sentiment Analysis via Meta-Learning. ACM Transactions on Information Systems (TOIS), 2023, 41(1): 1-31.
Bin Liang, Hang Su, Lin Gui, Erik Cambria, Ruifeng Xu. Aspect-Based Sentiment Analysis via Affective Knowledge Enhanced Graph Convolutional Networks. Knowledge-based Systems (KBS), 2022, 235: 107643.
Bin Liang, Qinglin Zhu, Xiang Li, Min Yang, Lin Gui, Yulan He, Ruifeng Xu. JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection. The 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022): 81-91.
Bin Liang, Chenwei Lou, Xiang Li, Min Yang, Lin Gui, Yulan He, Wenjie Pei, Ruifeng Xu. Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network. The 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022): 1767-1777.
Bin Liang, Zixiao Chen, Lin Gui, Yulan He, Min Yang, Ruifeng Xu. Zero-Shot Stance Detection via Contrastive Learning. The ACM Web Conference 2022 (WWW 2022): 2738-2747.
Bin Liang, Rongdi Yin, Jiachen Du, Lin Gui, Yulan He, Min Yang, Ruifeng Xu. Embedding Refinement Framework for Targeted Aspect-based Sentiment Analysis. IEEE Transactions on Affective Computing (TAC). 2021, 14(1): 279-293.
Bin Liang, Yonghao Fu, Lin Gui, Min Yang, Jiachen Du, Yulan He, Ruifeng Xu. Target-adaptive Graph for Cross-target Stance Detection. The Web Conference 2021 (WWW 2021): 3453-3464.
Bin Liang, Chenwei Lou, Xiang Li, Lin Gui, Min Yang, Ruifeng Xu. Multi-Modal Sarcasm Detection with Interactive In-Modal and Cross-Modal Graphs. The 29th ACM International Conference on Multimedia (MM 2021): 4707-4715.
Bin Liang, Hang Su, Rongdi Yin, Lin Gui, Min Yang, Qin Zhao, Xiaoqi Yu, Ruifeng Xu. Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge. The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021): 208-218.