机器学习、多模态学习、图学习、领域泛化、因果推理

招生专业：软件工程

招生方向：大数据与智能信息处理

欢迎具有相关专业知识背景的优秀学生报考

2019-09--2023-06   中国科学院大学   工学博士
2016-09--2018-11   纽约大学   科学硕士
2012-09--2016-06   厦门大学   工学学士

2025.10--今 中国科学院软件研究所 副研究员

2023.07--2025.11 中国科学院软件研究所 特别研究助理（博士后）

国际人工智能领域顶级会议、期刊发表论文情况：

注：*表示共同第一作者，|表示通讯作者

2026

• D3ER: Supporting Multi-Modal Recommendation via Disentangle and Distillation-based Dynamic Ensemble. Bingnan Wang, Yi Li, XiongXin Tang, Fanjiang Xu, and Jiangmeng Li|. ACMMM 2026. [link]
• Self-Evolving Agentic Image Restoration via Deliberate Planning and Intuitive Execution. Shuang Cui, Fan Ji, Guanglong Sun, Yufei Guo, XiongXin Tang, Jiangmeng Li|, and Fanjiang Xu. ECCV 2026. [link]
• SCORE: SubDistribution-aware Collaborative Knowledge Reinforcing for Cloth-Hybrid Lifelong Person Re-Identification. Kunlun Xu, Liangyu Ma, Jiangmeng Li, Xin Tong, Xiaode Liu, Yufei Guo, and Jiahuan Zhou. ECCV 2026. [link]
• Generalizing Graph Foundation Models via Hyperbolic Retrieval-Augmented Generation. Yifan Jin, Qirui Ji, Bin Qin, Jiangmeng Li|, Lixiang Liu, Fuchun Sun, and Changwen Zheng. KDD 2026. [link]
• Mitigate Catastrophic Remembering via Continual Self-Paced Dual-Knowledge Purification for Noisy Lifelong Person Re-Identification. Kunlun Xu, Jiangmeng Li*, Yufei Guo, Yuxin Peng, and Jiahuan Zhou. IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI, (2026). [TBD]
• PRM-PBE: Process Reward Model for Reinforcement Learning in Programming-by-Example. Yue Fang, Zhi Jin, Jie An, Hongshen Chen, Jiangmeng Li, Xiaohong Chen, and Naijun Zhan. ICML 2026. [link]
• Interventional Imbalanced Multi-Modal Representation Learning via β-Generalization Front-Door Criterion. Yi Li, Fei Song, Changwen Zheng, Jiangmeng Li|, Fuchun Sun, and Hui Xiong. IEEE Transactions on Multimedia, TMM, (2026). [link]
• All-in-One Image Restoration via Causal-Deconfounding Wavelet-Disentangled Prompt Network. Bingnan Wang, Bin Qin, Jiangmeng Li*|, Fanjiang Xu, Fuchun Sun, and Hui Xiong. IEEE Transactions on Image Processing, TIP, (2026). [link]
• Multi-modal Test-time adaptation via Adaptive Probabilistic Gaussian Calibration. Jinglin Xu, Yi Li, Chuxiong Sun, Xiao Xu, Jiangmeng Li|, and Fanjiang Xu. CVPR 2026. [link]
• Test-Time Perturbation Tuning with Delayed Feedback for Vision-Language-Action Models. Zehua Zang, Xi Wang, Fuchun Sun, Xiao Xu, Lixiang Liu, Jiahuan Zhou, and Jiangmeng Li|. CVPR 2026. [link]
• Vision-Language Attribute Disentanglement and Reinforcement for Lifelong Person Re-Identification. Kunlun Xu, Haotong Cheng, Jiangmeng Li, Xu Zou, and Jiahuan Zhou. CVPR 2026. [link]
• Supporting Multimodal Intermediate Fusion with Informatic Constraint and Distribution Coherence. Yi Li, Fei Song, Changwen Zheng, and Jiangmeng Li|. ICLR 2026. [link]
• On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation. Wenwen Qiang, Ziyin Gu, Lingyu Si, Jiangmeng Li|, Changwen Zheng, Fuchun Sun, and Hui Xiong. IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI, (2026). [link]
• AmPLe: Supporting Vision-Language Models via Adaptive-Debiased Ensemble Multi-Prompt Learning. Fei Song*, Yi Li*, Jiangmeng Li*|, Rui Wang, Changwen Zheng, Fanjiang Xu, and Hui Xiong. International Journal of Computer Vision, VISI, IJCV, (2026). [link]
• Uniformity Preserving Transfer for Visual Prompt Tuning under Long-tailed Distribution. Jiahao Chen, Hao Chen, Bin Qin, Jiangmeng Li, Jindong Wang, and Bing Su. International Journal of Computer Vision, VISI, IJCV, (2026). [link]
• Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models. Fei Song, Yi Li, Rui Wang, Jiahuan Zhou, Changwen Zheng, and Jiangmeng Li|. AAAI 2026, Oral. [link]
• HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning. Qirui Ji, Bin Qin, Yifan Jin, Yunze Zhao, Chuxiong Sun, Changwen Zheng, Jianwen Cao, and Jiangmeng Li|. AAAI 2026. [link]
• M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference. Chuxiong Sun, Peng He, Qirui Ji, Zehua Zang, Jiangmeng Li|, Rui Wang, and Wei Wang. AAAI 2026, Oral. [link]
• TMAE:Learning Targeted Multi-Agent Exploration via Causal Inference. Chuxiong Sun, Dunqi Yao, Rui Wang, Wenwen Qiang, Changwen Zheng, and Jiangmeng Li|. AAAI 2026. [link]

2025

• Benchmarking diffusion models for predicting perturbed cellular responses. Zijun Song, Changwen Zheng, Jiangmeng Li, Linhai Xie, Linhai_Xie，and Yujia Xiang. NeurIPS 2025. [link]
• Knowledge Management Dynamics in a Transformative Environment. Chapter Author: Jiangmeng Li, Fei Song. Book, ISBN 978-1-83634-494-0. [link]
• C2Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning. Kunlun Xu, Yibo Feng, Jiangmeng Li, Yongsheng Qi, and Jiahuan Zhou. NeurIPS 2025. [link]
• Boosting Dynamic Prototyping via Dual-Knowledge Clustering for Semi-Supervised Lifelong Person Re-Identification. Kunlun Xu, Fan Zhuo, Jiangmeng Li, Xu Zou, and Jiahuan Zhou. ICCV 2025. [link]
• CellCLAT: Preserving Topology and Trimming Redundancy in Self-Supervised Cellular Contrastive Learning. Bin Qin*, Qirui Ji*, Jiangmeng Li*|, Yupeng Wang, Xuesong wu|, Jianwen Cao|, and Fanjiang Xu. KDD 2025, Oral. [link]
• Rethinking the Bias of Foundation Model under Long-tailed Distribution. Jiahao Chen*, Bin Qin*, Jiangmeng Li*, Hao Chen, and Bing Su. ICML 2025. [link]
• On the Out-of-Distribution Generalization of Self-Supervised Learning. Wenwen Qiang, Jingyao Wang, Zeen Song, Jiangmeng Li|, and Changwen Zheng. ICML 2025. [link]
• Towards the Causal Complete Cause of Multi-Modal Representation Learning. Jingyao Wang, Siyu Zhao, Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Fuchun Sun, and Hui Xiong. ICML 2025. [link]
• Learning Invariant Causal Mechanism from Vision-Language Models. Zeen Song, Siyu Zhao, Xingyu Zhang, Jiangmeng Li, Changwen Zheng, and Wenwen Qiang. ICML 2025. [link]
• DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training. Yurou Liu, Jiahao Chen, Rui Jiao, Jiangmeng Li, Wenbing Huang, and Bing Su. ICLR 2025. [link]
• Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks. Shuang Cui*, Yi Li*, Jiangmeng Li*|, Xiongxin Tang, Bing Su, Fanjiang Xu, and Hui Xiong. International Journal of Computer Vision, VISI, IJCV, (2025). [link]

2024

• Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective. Jiangmeng Li, Zehua Zang, Qirui Ji, Chuxiong Sun, Wenwen Qiang, Junge Zhang, Changwen Zheng, Fuchun Sun, and Hui Xiong. International Journal of Computer Vision, VISI, IJCV, (2024). [link]
• On the Generalization and Causal Explanation in Self-Supervised Learning. Wenwen Qiang, Zeen Song, Ziyin Gu, Jiangmeng Li|, Changwen Zheng, Fuchun Sun, and Hui Xiong. International Journal of Computer Vision, VISI, IJCV, (2024). [link]
• Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective. Yanan Zhang, Jiangmeng Li*, Lixiang Liu, and Wenwen Qiang. NeurIPS 2024. [link]
• BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction. Jiangmeng Li, Fei Song, Yifan Jin, Wenwen Qiang, Changwen Zheng, Fuchun Sun, and Hui Xiong. ICLR 2024. [link]
• Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning. Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, and Fuchun Sun. AAAI 2024. [link]
• Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. Qirui Ji, Jiangmeng Li*|, Jie Hu, Rui Wang, Changwen Zheng, and Fanjiang Xu. AAAI 2024. [link]
• T2MAC: Targeted and Trusted Multi-Agent Communication Through Selective Engagement and Evidence-Driven Integration. Chuxiong Sun, Zehua Zang, Jiabao Li, Jiangmeng Li|, Xiao Xu, Rui Wang, and Changwen Zheng. AAAI 2024. [link]
• Rethinking Causal Relationships Learning in Graph Neural Networks. Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, and Huaping Liu. AAAI 2024. [link]

2023

• Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Farid Razzak, Ji-Rong Wen, and Hui Xiong. IEEE Transactions on Knowledge and Data Engineering, Volume 35, 7220-7238 (2023), TKDE. [link]
• Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective. Jiangmeng Li, Yanan Zhang, Wenwen Qiang, Lingyu Si, Chengbo Jiao, Xiaohui Hu, Changwen Zheng, and Fuchun Sun. AAAI 2023. [link]
• Robust Causal Graph Representation Learning against Confounding Effects. Hang Gao*, Jiangmeng Li*|, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, and Fuchun Sun. AAAI 2023, Oral. [link]
• Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation. Wenwen Qiang*, Jiangmeng Li*, Changwen Zheng, Bing Su, and Hui Xiong. IEEE Transactions on Knowledge and Data Engineering, Volume 35, 3014-3029 (2023), TKDE. [link]
• Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning. Wenwen Qiang*, Jiangmeng Li*, Bing Su, Jianlong Fu, Hui Xiong, and Ji-Rong Wen. International Journal of Computer Vision, Volume 131, 1211-1233 (2023), VISI, IJCV. [link]

2022

• MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, and Hui Xiong. NeurIPS 2022, Spotlight. [link]
• MetAug: Contrastive Learning via Meta Feature Augmentation. Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, and Hui Xiong. ICML 2022, Spotlight. [link]
• Interventional Contrastive Learning with Meta Semantic Regularizer. Wenwen Qiang*, Jiangmeng Li*, Changwen Zheng, Bing Su, and Hui Xiong. ICML 2022, Spotlight. [link]
• Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. Hang Gao*, Jiangmeng Li*|, Wenwen Qiang, Lingyu Si, Changwen Zheng, Fuchun Sun. IJCAI 2022. [link]

主持或参与项目：

• 2025年3月-2026年10月，融合大模型与知识图谱的智能XX技术，军委科技委创新团队项目，项目负责人，499.19万元
• 2023年7月-2024年10月，基于生成式智能XX实验问题辅助设计方法研究，军委科技委国家级重点实验室基金，项目负责人，230万元
• 2023年1月-2024年12月，开源XX逆向监测及协同预警技术，国防科技工业局基础科研计划，执行负责人，350万元

基金及人才计划：

• 2025年，中国博士后特别资助计划，编号：2025T180417
• 2025年，中国博士后科学基金结题考核资助，编号：YJB20250283
• 2024年，国家自然科学基金青年科学基金（青C），编号：62406313
• 2024年，中国博士后科学基金面上资助，编号：2024M753356
• 2023年，国家资助博士后科研人员计划，编号：GZC20232812
• 2023年，中国科学院特别研究助理资助计划，编号：人字【2024】18号

奖励与荣誉：

• 2025年，国防科学技术进步奖，二等奖，序4/16
• 2023年，北京市优秀毕业生
• 2023年，中国科学院大学优秀毕业生
• 2022年，国家奖学金
• 2018年，纽约大学院长奖学金

学术兼职：

• 2026年-至今，中国指控学会建模与仿真专委会常务委员
• 2026年1月，AAAI 2026 分会场主席
• 2025年-至今，中国指控学会大数据专委会委员
• 2025年-至今，国际电信联盟（ITU） T 标准制定人
• 2025年-至今，《Mathematics》（SCI）期刊客座编辑
• 2025年-至今，CSCIED 青年评委
• 2024年-至今，期刊官方审稿人：IEEE TPAMI、IEEE TKDE、Springer IJCV 等
• 2023年-至今，程序委员会委员：NeurIPS、ICML、ICLR、AAAI、IJCAI、CVPR 等