汤臣薇

Dr. Chenwei Tang is an Associate Professor and Ph.D. Supervisor at the College of Computer Science (School of Software), Sichuan University. She serves as the Secretary of the Engineering Research Center of Machine Learning and Industrial Intelligent Applications, Ministry of Education, and the Deputy Director of the Sichuan Provincial Key Laboratory of Embodied Intelligence and Cognitive Reasoning. She received her Ph.D. degree in Engineering from the College of Computer Science, Sichuan University, in 2020, and joined Sichuan University in the same year for teaching and research. Her current research mainly focuses on multi-agent systems, embodied intelligence, industrial intelligence, and smart healthcare. She has published more than 60 papers in international journals and conferences such as npj Digital Medicine, IEEE TIP, IEEE TMM, KDD, and ICML, and has been granted more than 10 national and U.S. invention patents. She has led or participated in over 30 national and provincial/ministerial-level projects.

• 教育经历（“3+2+3”本硕博连读）
  2012.09~2015.06 四川大学 软件工程 学士
  2015.09~2017.09 四川大学 计算机科学与技术 硕士 导师：吕建成
  2017.09~2020.12 四川大学 计算机科学与技术 博士 导师：吕建成
• 工作经历
  2020.12~2022.05 四川大学 计算机学院 专职博士后
  2022.05~2023.09 四川大学 计算机学院 副研究员
  2023.09~至今 四川大学 计算机学院 副教授
  2025.03~2026.03 新加坡科技研究局(A*STAR) 访问学者
  2023.10~至今 机器学习与工业智能应用教育部工程研究中心 秘书
  2026.09~至今 具身智能与认知推理四川省重点实验室 副主任

• 四川省计算机科学技术奖一等奖，新一代神经网络若干关键基础理论研究，2022，2/5
• 中国国际“互联网+”大学生创新创业大赛国金/优秀创新创业导师，无障视界——白内障智能诊断方案领航者，2021，2/2
• 四川省计算机学会（SCF）优秀学生论文奖，2021，1/1
• 20th International Symposiumon Neural Networks, Best Student Paper Award, 通讯作者，2026
• 第十九届“挑战杯”全国大学生课外学术科技作品竞赛2025年度中国青年科技创新“揭榜挂帅”擂台赛擂主（特等奖），指导老师
• 第三届开放原子大赛—— 智能 Agent 创新大赛二等奖，指导老师，2025
• 部分项目：
  [1]国家自然科学基金青年科学基金项目，《零样本分类的多模态神经网络方法》， 2022-2024, 30万，负责人
  [2]核动力研究设计院横向项目，《小样本条件下电动阀门可靠性状态评估方法研究》，2025-2025， 44万，负责人
  [3]四川省自然科学基金青年基金项目，《基于多模态对齐的零样本目标检测关键技术研究》，2024-2025，10万，负责人
  [4]四川联合创新研究院基金项目，《核电厂材料缺陷状态快速识别 APP 研究》，2021-2024，35万，负责人
  [5]四川省自然基金重点研发项目，《基于小样本深度学习的甲状腺功能异常智能诊断技术研究》，2021-2024，100万，子课题负责人
  [6]四川省重大科技专项《智能空间关键技术体系研究及应用》，2025-2028，560万，子课题负责人
  [7]四川省重大科技专项《森林草原防灭火低空世界模型和无人机、机器狗协同系统研制与示范应用》，2026-2029，1405万，子课题负责人
  [8]四川省重大科技专项《多模态智能感知电子皮肤研制与应用》，2026-2029，500万，子课题负责人
  [9]国家重大科研仪器研制项目《反应堆压力容器内螺纹缺陷定量智能检测仪器》，2025-2029，863.3万，骨干成员
  [10]四川省青年科技创新研究团队项目《下一代神经网络基础理论研究》，2024-2026，100万，骨干成员

• Jiaming Yang, Chenwei Tang, Liangli Zhen, Jiancheng Lv. Rethinking KV Cache Eviction via a Unified Information-Theoretic Objective. Proceedings of the 43rd International Conference on Machine Learning, 2026.
• Xinyu Liu, Qingyu Zeng, Chenwei Tang, Jiancheng Lv. Mixture of Meta-Policies for Cross-Environment Meta-Reinforcement Learning. Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026: 915-926.
• Jialiang Huang, Lijia Gao, Rong Xiao, Yan Wang, Lituan Wang, Chenwei Tang, Jiancheng Lv. UG-HDR: Uncertainty-Guided HDR Imaging under Large Motion and Extreme Exposure. IEEE Transactions on Multimedia, 2026.
• Rong Xiao, Zhiyuan Hu, Ping He, Wanying Xu, Jiaxin Li, Jiahao Fan, Chenwei Tang, Hong Li, Zuoren Wang, Huajin Tang, Jiancheng Lv. OT-SAN: One Timestep Spiking Actor Network with Mask-Adaptive Global Connection and Dynamic Thresholds. IEEE Transactions on Image Processing, 2026, 35: 9143-9153.
• Zhongkai Ma, Yufei Hua, Lin Que, Bing Yan, Jialiang Huang, Huawei Ming, Xiaowei Hong, Songlin Piao, Chenwei Tang, Zhiyong Guo, Guiquan Zhu, Chunjie Li. Intelligent Surgical Workflow Recognition-Based Skill Assessment for Minimally Invasive Submandibular Gland Resection. npj Digital Medicine, 2026.
• Chenwei Tang, Ying Wang, Weijia Wang, Wangyang Ying, Jie Liu, Yong Wang, Nanxu Gong, Wei Ju, Rong Xiao, Jiancheng Lv. IF4FD: Multiscale Information Fusion for Zero-Shot Industrial Fault Diagnosis. IEEE Transactions on Industrial Informatics, 2026, 22(4): 3227-3238.
• Chenwei Tang, Ying Wang, Wei Xie, Qianjun Zhang, Rong Xiao, Zhenan He, Jiancheng Lv. Rethinking Generalized Zero-Shot Learning: A Synthesized Per-Instance Attribute Perspective. IEEE Transactions on Image Processing, 2025, 34: 5847-5859.
• Yi Gao, Wentao Feng, Rong Xiao, Lihuo He, Zhenan He, Jiancheng Lv, Chenwei Tang. Improving Generalized Zero-Shot Learning via Cluster-Based Semantic Disentangling Representation. Pattern Recognition, 2024, 150: 110320.
• Shudong Huang, Yixi Liu, Hecheng Cai, Yuze Tan, Chenwei Tang, Jiancheng Lv. Smooth Representation Learning from Multi-View Data. Information Fusion, 2023, 100: 101916.
• Chenwei Tang, Zhenan He, Yunxia Li, Jiancheng Lv. Zero-Shot Learning via Structure-Aligned Generative Adversarial Network. IEEE Transactions on Neural Networks and Learning Systems, 2021, 33(11): 6749-6762.