吕建成

Jiancheng Lv is the Dean of the College of Computer Science (School of Software) at Sichuan University, as well as a professor and doctoral supervisor. He is a recipient of the National Science Fund for Distinguished Young Scholars and a State Council Special Allowance expert. He serves as a member of the State Council’s Academic Degree Committee Discipline Appraisal Group, Director of the Ministry of Education’s Engineering Research Center for Machine Learning and Industrial Intelligence Applications, head of the “111 Plan” Discipline Innovation and Talent Introduction Base, and Director of the Sichuan Provincial Key Laboratory of Embodied Intelligence and Cognitive Reasoning. His honors include being named a Ministry of Education “New Century Excellent Talent,” a “Tianfu Qingcheng Plan” Science and Technology Leading Talent, and a “Tianfu Qingcheng Plan” Innovation Team Leader, as well as being recognized as an “Outstanding Expert with Prominent Contributions” and an “Academic and Technical Leader” in Sichuan Province. He has long dedicated himself to research on the fundamental theories and applications of neural networks; aligned with major national defense strategies, he has achieved breakthroughs in core technologies such as radar altimetry, intelligent computing for nuclear reactors, and intelligent design of reactor core schemes. He has published over 400 papers in prestigious journals and conferences—including Nature Communications, TPAMI, JMLR, NeurIPS, ACL, and CVPR—led the formulation of one IEEE international standard, and authored one English monograph. His awards include the Sichuan Provincial Natural Science Award (First Prize, 2026), the Sichuan Provincial Teaching Achievement Award (Special Prize, 2026), the Wu Wenjun Artificial Intelligence Natural Science Award (First Prize, 2025), the National Natural Science Award (Second Prize, 2019), the Ministry of Education Natural Science Award (First Prize, 2013), the Sichuan Provincial Science and Technology Progress Award (First Prize, 2011), and the China Computer Federation (CCF) Outstanding Doctoral Dissertation Award (2007). He has supervised over 100 master’s and doctoral students; notably, Liu Dayiheng—a combined master’s-doctoral student and the first recipient of Huawei’s “Genius Youth” program in Southwest China—serves as the head of Alibaba’s Qwen project, leading the development of the full series of Qwen language models and their derivatives, while Zhou Yuhao—a direct-entry doctoral student—was awarded a National Natural Science Foundation project for basic research by young students.

• 教育经历
  1997.09~1999.07 电子科技大学 学士
  2000.09~2003.03 电子科技大学 硕士
  2003.09~2006.12 电子科技大学 博士
• 工作经历
  2001.08~2003.08 中兴通讯股份有限公司 软件工程师
  2007.03~2008.06 新加坡国立大学 Research Fellow
  2008.07~至今 四川大学 教授、博导
  2012.04~至今 电子科技大学 客座教授

• 中国计算机学会（CCF）优秀博士论文奖，2007
• 四川省科技进步二等奖，神经计算中的收敛性问题研究，2007
• 四川省科技进步一等奖，印章治安管理中的智能技术研究与系统研发，2011
• 教育部自然科学一等奖，计算智能中的一些基础理论研究，2013
• 国家自然科学二等奖，神经网络的若干关键基础理论研究，2019
• 四川省高等教育教学成果奖二等奖，质量为核多维评价构建计算机类研究生一流人才培养模式探索与实践，2021
• 中国国际“互联网+”大学生创新创业大赛国家金奖优秀创新创业导师，无障视界——白内障智能诊断方案领航者，2021
• 教育部—华为“智能基座”优秀教学资源奖励计划，深度学习技术基础与实践，2022
• 中国高校计算机教育大会教学案例大赛二等奖，基于腾讯开悟平台的强化学习实践教学案例，2024
• 部分项目：
  [1]国家科学技术部新一代人工智能国家科技重大专项，《新药创制科学智能体关键技术与示范应用》，2026-2028，9971.75万，负责人
  [2]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》，2025-2029，688万，负责人
  [3]国家科学技术部和教育部高等学校学科创新引智计划（“111”计划），《数据智能分析与应用创新引智基地》，2021-2025，基地负责人
  [4]国家自然科学基金委员会重点项目，《基于脑成像的视听深度神经网络构建与应用》，2019-2023，291万，负责人
  [5]国家重点研发计划项目，《大数据驱动的类人智能感知与情感交互关键技术》，2017-2021，2133万，子课题负责人
  [6]国家自然科学基金委员会杰出青年项目，《神经网络子空间学习》，2017-2021，350万，负责人

• 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.
• 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.
• 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.
• Chaoqun Niu, Dongdong Chen, Jizhe Zhou, Jian Wang, Quan-Hui Liu, Caiyang Yu, Yuan Li, Wei Ju, Jiancheng Lv. Bones to Identity: Generative Contrastive Fusion for Cross-Modality Medical Person Identification from Skeletal Data. Pattern Recognition, 2026.
• 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.
• Yuhao Zhou, Yuxin Tian, Mingjia Shi, Yuanxi Li, Yanan Sun, Qing Ye, Jiancheng Lv. E-3SFC: Communication-Efficient Federated Learning with Double-Way Features Synthesizing. IEEE Transactions on Neural Networks and Learning Systems, 2025.
• Jian Wang, Xue Yang, Yuxin Tian, Jizhe Zhou, Jiancheng Lv. Shunting at Arbitrary Feature Levels via Spatial Disentanglement: Toward Selective Image Translation. IEEE Transactions on Neural Networks and Learning Systems, 2024.
• Zhan’ao Huang, Yongsheng Sang, Yanan Sun, Jiancheng Lv. Neural Networks Learn Specified Information for Imbalanced Data Classification. IEEE Transactions on Knowledge and Data Engineering, 2024.
• Chenwei Tang, Caiyang Yu, Yi Gao, Jianming Chen, Jiaming Yang, Jiuling Lang, Chuan Liu, Ling Zhong, Zhenan He, Jiancheng Lv. Deep Learning in Nuclear Industry: A Survey. Big Data Mining and Analytics, 2022.
• Yuhao Zhou, Qing Ye, Jiancheng Lv. Communication-Efficient Federated Learning with Compensated Overlap-FedAvg. IEEE Transactions on Parallel and Distributed Systems, 2021.