马杰  (副教授)

大模型推理，智能体，多模态内容理解，智慧教育

• Shihao Qi†, Jie Ma*,†, Rui Xing†, Wei Guo†, Xiao Huang†, Zhitao Gao, Jianhao Deng, Jun Liu, Lingling Zhang, Bifan Wei, Boqian Yang, Pinghui Wang, Jianwen Sun, Jing Tao, Yaqiang Wu, Hui Liu, Yu Yao, Tongliang Liu. Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems. arXiv, 2026. †These authors contributed equally to this work.

• Rui Xing, Qi Chai, Jie Ma*, Jing Tao, Pinghui Wang, Shuming Zhang, Xinping Wang, Hao Wang. Is AI Ready for Multimodal Hate Speech Detection? A Comprehensive Dataset and Benchmark Evaluation. arXiv, 2026.

• Zhitao Gao, Jie Ma*, Xuhong Li, Pengyu Li, Ning Qu, Yaqiang Wu, Hui Liu, Jun Liu. AERO: Autonomous Evolutionary Reasoning Optimization via Endogenous Dual-Loop Feedback. arXiv, 2026.

• Jie Ma, Shihao Qi, Rui Xing, Ziang Yin, Bifan Wei, Jun Liu, Tongliang Liu. From Static to Dynamic: Adaptive Monte Carlo Search for Mathematical Process Supervision. arXiv, 2025.

• Shihao Qi, Jie Ma*, Ziang Yin, Lingling Zhang, Jian Zhang, Jun Liu, Feng Tian, Tongliang Liu. Plan before Solving: Problem-Aware Strategy Routing for Mathematical Reasoning with LLMs. arXiv, 2025.

• Jie Ma, Zhitao Gao, Qi Chai, Jun Liu, Pinghui Wang, Jing Tao, Zhou Su. FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal Reasoning. arXiv, 2025.

• Shihao Qi, Jian Zhang, Xuefei Wei, Feijuan He, Ziang Yin, Qing Li, Jie Ma*. Multidimensional logical reasoning for event relation extraction. International Conference on Machine Learning and Artificial Intelligence Applications (MLAIA), 2026. (Best Paper Award)

• Shuaipeng Li, Baoyu An, Xueyang Huo, Jie Ma, Yuansi Zhang, Linxi Cai, Pinghui Wang, Chaobo Yan. Securely Answering Multi-hop Questions on the Joint of Private and Public Knowledge Graphs.  IEEE Transactions on Automation Science and Engineering (IEEE TASE), 2026.

• Chao Zhang, Jianwen Sun, Jie Ma, Yi Yang, and Yawei Luo. TeenEmpath: Towards Adolescent Psychological Counseling with Multiple Personas and Strategies.  IEEE Transactions on Affective Computing (IEEE TAC), 2025.

• Muye Huang, Lingling Zhang, Jie Ma, Han Lai, Fangzhi Xu, Yifei Li, Wenjun Wu, Yaqiang Wu, Jun Liu. ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding. The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.

• Jie Ma, Ning Qu, Zhitao Gao, Rui Xing, Jun Liu, Hongbin Pei, Jiang Xie, Lingyun Song, Pinghui Wang, Jing Tao, Zhou Su. Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs. TheThirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.

• 王平辉, 马杰*, 吕红强, 刘源. 微机控制系统及应用研究生课程改革研究. 计算机技术与教育学报, 2025. 

• Hongbin Pei, Jingxin Hai, Yu Li, Huiqi Deng, Denghao Ma, Jie Ma, Pinghui Wang, Jing Tao, Xiaohong Guan. Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics. The Forty-second International Conference on Machine Learning (ICML), 2025.

• Lingyun Song, Haodong Li, Siyu Chen, Xinbiao Gan, Binze Shi, Jie Ma, Yudai Pan, Xiaoqi Wang, Xuequn Shang. Multi-Scale Temporal Neural Network for Stock Trend Prediction Enhanced by Temporal Hyepredge Learning. The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025.

• Lingyun Song, Xiaofan Sun, Xinbiao Gan, Yudai Pan, Xiaolin Han, Jie Ma, Jun Liu, Xuequn Shang.  Metapath and Hypergraph Structure-Based Multi-Channel Graph Contrastive Learning for Student Performance Prediction. The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025.

• Muye Huang, Han Lai, Xinyu Zhang, Wenjun Wu, Jie Ma*, Lingliing Zhang, Jun Liu. EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025. 

• Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui. Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025. (Oral)

• Jie Ma, Min Hu, Pinghui Wang, Wangchun Sun, Lingyun Song, Hongbin Pei, Jun Liu, Youtian Du. Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering. The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.

• Lingyun Song, Xuequn Shang, Ruizhi Zhou, Jun Liu, Jie Ma, Zhanhuai Li, Mingxuan Sun. A Multi-Group Multi-Stream Attribute Attention Network for Fine-Grained Zero-Shot Learning. Neural Networks (NN), 2024.

• 马杰, 孙望淳, 王平辉, 张若非, 李帅鹏, 苏洲. 基于相关性提示的知识图谱问答. 软件学报, 2024.

• Hongbin Pei, Yu Li, Huiqi Deng, Jingxin Hai, Pinghui Wang, Jie Ma, Jing Tao, Yuheng Xiong, Xiaohong Guan. Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing. The Forty-first International Conference on Machine Learning (ICML), 2024. (Spotlight Poster)

• Jie Ma, Pinghui Wang, Dechen Kong, Zewei Wang, Jun Liu, Hongbin Pei, Junzhou Zhao. Robust Visual Question Answering: Datasets, Methods, and Future Challenges. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2024.

• Hongbin Pei, Yuheng Xiong, Pinghui Wang, Jing Tao, Jialun Liu, Huiqi Deng, Jie Ma, Xiaohong Guan. Memory Disagreement: A Pseudo-Labeling Measure from Training Dynamics for Semi-supervised Graph Learning. The International Conference of World Wide Web (WWW), 2024.

• Jie Ma, Jun Liu, Qi Chai, Pinghui Wang, Jing Tao. Diagram Perception Networks for Textbook Question Answering via Joint Optimization. International Journal of Computer Vision (IJCV), 2024, 132: 1578–1591.

• Yuecheng Rong, Juntao Yao, Jun Liu, Yifan Fang, Wei Luo, Hao Liu, Jie Ma, Zepeng Dan, Jinzhu Lin, Zhi Wu, Yan Zhang, Chuanming Zhang. GBTTE: Graph Attention Network Based Bus Travel Time Estimation. The 32th ACM International Conference on Information and Knowledge Management (CIKM), 2023.

• Jie Ma, Qi Chai, Jun Liu, Qingyu Yin, Pinghui Wang, Qinghua Zheng. XTQA: Span-Level Explanations of the Textbook Question Answering. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023.

• Yaxian Wang, Jun Liu, Jie Ma, Hongwei Zeng, Lingling Zhang, Junjun Li. Dynamic Dual Graph Networks for Textbook Question Answering. Pattern Recognition (PR), 2023.

• Jie Ma, Jun Liu, Qika Lin, Bei Wu, Yaxian Wang, Yang You. Multitask Learning for Visual Question Answering. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023, 34: 1380-1394.

• Jie Ma, Jun Liu, Yaxian Wang, Junjun Li, and Tongliang Liu. Relation-Aware Fine-Grained Reasoning Network for Textbook Question Answering. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023, 34: 15-27.

• Jie Ma, Qi Chai, Jingyue Huang, Jun Liu, Yang You, Qinghua Zheng. Weakly Supervised Learning for Textbook Question Answering. IEEE Transactions on Image Processing (IEEE TIP), 2022, 31: 7378-7388.

• Yufei Li, Xiangyu Zhou, Jie Ma, Xiaoyong Ma, Pengzhen Cheng, Tieliang Gong. Distinguished Representation of Identical Mentions in Bio-entity Coreference Resolution. Chen Li. BMC Medical Informatics and Decision Making, 2022, 22: 1-12.

• Qian Li, Qingyuan Hu, Yong Qi, Saiyu Qi, Jie Ma. Stochastic Batch Augmentation with an Effective Distilled Dynamic Soft Label Regularizer. Jian Zhang. International Joint Conferences on Artificial Intelligence (IJCAI), 2021: 2340-2346.

• Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang, Xin Hu, Jie Ma. Rule-enhanced Iterative Complementation for Knowledge Graph Reasoning. Information Sciences, 2021, 575: 66-79.

• Jie Ma, Jun Liu, Yufei Li, Xin Hu, Yudai Pan, Shen Sun, Qika Lin. Jointly Optimized Neural Coreference Resolution with Mutual Attention. The 13th ACM International Conference on Web Search and Data Mining (WSDM), 2020: 402-410.

• Xin Hu, Jun Liu, Jie Ma, Yudai Pan, Lingling Zhang. Fine-Grained 3D-Attention Prototypes for Few-Shot Learning. Neural Computation, 2020, 32(9): 1664-1684.

• 麻珂欣, 魏笔凡, 马杰, 刘均, 黄毅, 胡珉, 冯俊兰. 知识主题间先序关系挖掘. 大数据, 2020, 6: 26-39.

• Jiang Xie, Zhongyang Xiong, Yufang Zhang, Yong Feng, Jie Ma. Density Core-based Clustering Algorithm with Dynamic Scanning Radius. Knowledge-Based Systems (KBS), 2018, 142: 58-70.

• IEEE Computer Society. IEEE standard for technical requirements and evaluating knowledge graphs: IEEE Std 2807.1-2024 [S/OL]. New York: IEEE, 2024: 1-57.
  

• 中国机械工程学会. 增材制造知识图谱 第1部分：构建技术要求: T/CMES 35013—2024 [S]. 北京: 中国机械工程学会, 2024.

• 中国机械工程学会. 增材制造知识图谱 第2部分：服务技术要求: T/CMES 35014—2024 [S]. 北京: 中国机械工程学会, 2024.

• 中国机械工程学会. 增材制造知识图谱 第3部分：安全管控: T/CMES 35015—2024 [S]. 北京: 中国机械工程学会, 2024.

• 中国机械工程学会. 增材制造知识图谱 第4部分：融合与服务接口: T/CMES 35016—2024 [S]. 北京: 中国机械工程学会, 2024.