| 2026 | AAAI | Improving Exact Algorithm for Pseudo Boolean Optimization with Two New Phase Selection Heuristics. | Yujiao Zhao, Yizhan Xiang, Jiangnan Li, Yiyuan Wang, Minghao Yin |
| 2026 | ACL | Situated Embedding Models for Context-Aware Dense Retrieval. | Junjie Wu, Jiangnan Li, Yuqing Li, Lemao Liu, Liyan Xu, Jiwei Li, Dit-Yan Yeung, Jie Zhou, Mo Yu |
| 2026 | ASPDAC | Novel Multi-Corner Delay Padding using Path Relationship Analysis and Dual Decomposition. | Kaixiang Zhu, Jiangnan Li, Lingli Wang, Wai-Shing Luk |
| 2026 | DATE | A Collaborative Framework for Multi-Level Multi-Objective Design Space Exploration. | Jiangnan Li, Kaixiang Zhu, Yuping Bai, Yunfei Dai, Qing He, Yu He, Lingli Wang |
| 2026 | EACL | CONGRAD: Conflicting Gradient Filtering for Multilingual Preference Alignment. | Jiangnan Li, Thuy-Trang Vu, Christian Herold, Amirhossein Tebbifakhr, Shahram Khadivi, Gholamreza Haffari |
| 2026 | ISCAS | An End-to-End Compilation Flow with Reinforcement Learning-Guided Logic Synthesis. | Jiangnan Li, Kaixiang Zhu, Qing He, Yu He, Lingli Wang |
| 2026 | SIGIR | ExDR: Explanation-driven Dynamic Retrieval Enhancement for Multimodal Fake News Detection. | Guoxuan Ding, Yuqing Li, Ziyan Zhou, Zheng Lin, Daren Zha, Jiangnan Li |
| 2025 | ACL | The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters. | Chulun Zhou, Qiujing Wang, Mo Yu, Xiaoqian Yue, Rui Lu, Jiangnan Li, Yifan Zhou, Shunchi Zhang, Jie Zhou, Wai Lam |
| 2025 | COLING | Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference. | Lanrui Wang, Jiangnan Li, Chenxu Yang, Zheng Lin, Hongyin Tang, Huan Liu, Yanan Cao, Jingang Wang, Weiping Wang |
| 2025 | EMNLP | Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings. | Liyan Xu, Zhenlin Su, Mo Yu, Jiangnan Li, Fandong Meng, Jie Zhou |
| 2025 | FPL | GEF: A GNN-Based Evaluation Framework for FPGA Routing Architecture. | Yuanqi Wang, Yunfei Dai, Jiangnan Li, Kaixiang Zhu, Huizhen Kuang, Hao Zhou, Eric Ren, Xifan Tang, Weijun Qin, Tao Li, Lingli Wang |
| 2025 | ICCAD | DynVec: An End-to-End Framework for Efficient Vector-Dataflow Execution. | Jiangnan Li, Xianfeng Cao, Kaixiang Zhu, Wenbo Yin, Lingli Wang |
| 2025 | IJCAI | NuMDS: An Efficient Local Search Algorithm for Minimum Dominating Set Problem. | Rui Sun, Zhaohui Liu, Yiyuan Wang, Han Xiao, Jiangnan Li, Jiejiang Chen |
| 2025 | IJCAI | A Novel Local Search Algorithm for the Vertex Bisection Minimization Problem. | Rui Sun, Xinyu Wang, Yiyuan Wang, Jiangnan Li, Yi Zhou |
| 2025 | NAACL | The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding. | Mo Yu, Lemao Liu, Junjie Wu, Tsz Ting Chung, Shunchi Zhang, Jiangnan Li, Dit-Yan Yeung, Jie Zhou |
| 2024 | AAAI | Enhancing Multi-Label Classification via Dynamic Label-Order Learning. | Jiangnan Li, Yice Zhang, Shiwei Chen, Ruifeng Xu |
| 2024 | AAAI | SIG: Speaker Identification in Literature via Prompt-Based Generation. | Zhenlin Su, Liyan Xu, Jin Xu, Jiangnan Li, Mingdu Huangfu |
| 2024 | ACL | Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions. | Liyan Xu, Jiangnan Li, Mo Yu, Jie Zhou |
| 2024 | ACL | Plot Retrieval as an Assessment of Abstract Semantic Association. | Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou |
| 2024 | GLOBECOM | LightSentinel: A Lightweight Anomaly Detection System Leveraging Smart Devices. | Yingyuan Yang, Xueli Huang, Sunshin Lee, Jiangnan Li |
| 2023 | ACL | Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension. | Jiangnan Li, Mo Yu, Fandong Meng, Zheng Lin, Peng Fu, Weiping Wang, Jie Zhou |
| 2023 | ACL | Personality Understanding of Fictional Characters during Book Reading. | Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Xiao Zhou, Fandong Meng, Jie Zhou |
| 2023 | EMNLP | Set Learning for Generative Information Extraction. | Jiangnan Li, Yice Zhang, Bin Liang, Kam-Fai Wong, Ruifeng Xu |
| 2023 | EMNLP | Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation. | Chenxu Yang, Zheng Lin, Lanrui Wang, Chong Tian, Liang Pang, Jiangnan Li, Qirong Ho, Yanan Cao, Weiping Wang |
| 2023 | ICCCN | Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids. | Jiangnan Li, Yingyuan Yang, Jinyuan Stella Sun, Kevin Tomsovic, Hairong Qi |
| 2022 | COLING | Target Really Matters: Target-aware Contrastive Learning and Consistency Regularization for Few-shot Stance Detection. | Rui Liu, Zheng Lin, Huishan Ji, Jiangnan Li, Peng Fu, Weiping Wang |
| 2022 | COLING | TAKE: Topic-shift Aware Knowledge sElection for Dialogue Generation. | Chenxu Yang, Zheng Lin, Jiangnan Li, Fandong Meng, Weiping Wang, Lanrui Wang, Jie Zhou |
| 2022 | EMNLP | Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection. | Lanrui Wang, Jiangnan Li, Zheng Lin, Fandong Meng, Chenxu Yang, Weiping Wang, Jie Zhou |
| 2022 | IJCAI | Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge. | Jiangnan Li, Fandong Meng, Zheng Lin, Rui Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou |
| 2021 | AsiaCCS | ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems. | Jiangnan Li, Yingyuan Yang, Jinyuan Stella Sun, Kevin Tomsovic, Hairong Qi |
| 2021 | EMNLP | Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological Knowledge. | Jiangnan Li, Zheng Lin, Peng Fu, Weiping Wang |
| 2021 | ICONIP | Research on Flame Detection Based on Anchor-Free Algorithm FCOS. | Honggang Wang, Xing Wu, Jingsheng Liu, Jiangnan Li |
| 2021 | IJCAI | Learning Class-Transductive Intent Representations for Zero-shot Intent Detection. | Qingyi Si, Yuanxin Liu, Peng Fu, Zheng Lin, Jiangnan Li, Weiping Wang |
| 2020 | ICCCN | SmartBullets: A Cloud-Assisted Bullet Screen Filter based on Deep Learning. | Haoran Niu, Jiangnan Li, Yu Zhao |