贾伟乐 博导 中国科学院计算技术研究所
电子邮件： jiaweile@ict.ac.cn
通信地址： 中科院计算所
招生信息
招生专业：
081201-计算机系统结构
081202-计算机软件与理论
招生方向：
AI for Science, 高性能计算，智能科学计算（HPC+AI)
研究小组目前仍招收客座学生，有兴趣的同学可以发送CV到 jiaweile(at)ict.ac.cn
学习/工作经历
Awards
2025年08月，中国超算年度最佳应用奖
2024年09月，中国计算机学会高性能计算“青年科技人才奖”
2024年04月，《麻省理工科技评论》2023年中国智能计算创新人物
2023年12月，Bench Council “2023 Top 100 Open Source achievement Award”
2022年11月，ACM戈登贝尔奖入围（ACM Gordon Bell Prize Finalist)（报道：SC22官网， 计算所报道）
2022年11月，中国超算年度最佳应用奖（报道：超算最佳应用奖）
2021年11月，ACM SIGHPC新星奖, ACM中国新星提名奖
2021年1月，两院院士评选国内十大科技进展新闻（报道：人民网，中国科学报，中科院等）
2020年11月，国际计算机学会高性能计算应用"戈登贝尔奖"(ACM Gordon Bell Prize) [报道：ACM，中科院计算所，Chemical World, HPCwire]
近几年发表的论文
会议论文：
1. [ICML’26] JanusPipe: Efficient Pipeline Parallel Training for Machine Learning Interatomic Potentials; Hongyu Wang, Weijian Liu, Mingzhen Li*, Hongtao Xu, Yan Wang, Weile Jia*, Guangming Tan*；Forty-third International Conference on Machine Learning
2. [ICML’26] AdaHC: Accelerating Multi-Token Prediction with Adaptive Head Chunking with Pipeline ParallelismYan Wang, Chang Si, Kaiming Yang, Zhipeng Zhang, Weijian Liu, Man Yuan, Mingzhen Li*, Yong Li, Weile Jia*；Forty-third International Conference on Machine Learning
3. [ICLR’26] MatRIS: Toward Reliable and Efficient Pretrained Machine Learning Interaction Potentials; Y Zhou, S Hu, X Zhang, H Wang, Guangming Tan*, Weile Jia*; The Fourteenth International Conference on Learning Representations
4. [ACL’26] WISCA: A Lightweight Model Transition Method to Improve LLM Training via Weight Scaling; Jiacheng Li, Jianchao Tan*, Zhidong Yang, Pingwei Sun, Feiye Huo, Jiayu Qin, Xiangyu Zhang, Maoxin He, Yerui Sun, Yuchen Xie, Guangming Tan, Weile Jia, Xunliang Cai, Tong Zhao*; The 64th Annual Meeting of the Association for Computational Linguistics
5. [NIPS’25] Exploring Landscapes for Better Minima along Valleys; Tong Zhao, Jiacheng Li, Yuanchang Zhou, Guangming Tan*, Weile Jia*; The Thirty-ninth Annual Conference on Neural Information Processing Systems (CCF-A)
6. [NIPS’25] Skrull: Towards Efficient Long Context Fine-tuning through Dynamic Data Scheduling，Hongtao Xu, Wenting Shen, Yuanxin Wei, Ang Wang, Guo Runfan, Tianxing Wang, Yong Li, Mingzhen Li*, Weile Jia*; The Thirty-ninth Annual Conference on Neural Information Processing Systems (CCF-A)
7. [ISPA’25] Large-scale Neural Network Quantum States for ab initio Quantum Chemistry Simulations on Fugaku; Hongtao Xu, Zibo Wu, Mingzhen Li*, Weile Jia*; The 23rd IEEE International Symposium on Parallel and Distributed Processing with Applications. (CCF-C)
8. [SC’25] Deep Learning-Enabled Supercritical Flame Simulation at Detailed Chemistry and Real-Fluid Accuracy Towards Trillion-Cell Scale; Zhuoqiang Guo, Runze Mao, Lijun Liu, Guangming Tan*, Weile Jia*, Zhi Chen*; International Conference for High Performance Computing, Networking, Storage and Analysis(CCF-A)
9. [SC’25] Caracal: A GPU-Resident Sparse LU Solver with Lightweight Fine-Grained Scheduling; Jie Ren, Tingxuan Zhong, Yuxi Hong, Guofeng Feng, Xincheng Wang, Weile Jia, Hatem Ltaief, David Keyes; International Conference for High Performance Computing, Networking, Storage and Analysis(CCF-A)
10. [SC’25] Million-Atom Ab Initio Electron Dynamics: Discontinuous Galerkin Real-Time Time-Dependent Density Functional Theory; Junwei Feng, Junshi Chen, Xiangyu Zhang, Junhui Liu, Xinming Qin, Lingyun Wan, Sheng Chen, Wentiao Wu, Bingkun Hou, Yexuan Lin, Yihong Zhang, Zechuan Zhang, Yijun Hu, Weile Jia*, Hong An*, Jinlong Yang*, Wei Hu*; International Conference for High Performance Computing, Networking, Storage and Analysis(CCF-A)
11. [ICML’25] ELoRA: Low-Rank Adaptation for Equivariant GNNs; Chen Wang, Siyu Hu*, Guangming Tan*, Weile Jia*; The International Conference on Machine Learning 2025(CCF-A)
12. [ICML’25] Efficient Long Context Fine-tuning with Chunk Flow；Xiulong Yuan, Hongtao Xu, Wenting Shen, Ang Wang, Xiafei Qiu, Jie Zhang, Yuqiong Liu, Bowen Yu, Junyang Lin, Mingzhen Li, Weile Jia, Yong Li, Wei Lin; The International Conference on Machine Learning 2025 (CCF-A)
13. [ICS’25] Yan Wang, Xin He, Qinghua Guo, Kai Sheng, Dingwen Tao, Weile Jia, Zhen Xie, Hao Chen, Haoran Kong; Cherry: Breaking the GPU Memory Wall for Large-Scale GNN Training via Micro-Batching; ACM International Conference on Supercomputing (CCF-B)
14. [ISCA’25] Ning Kang, Guojun Yuan, Zihan Yan, Beining Zhang, Boyang Li, Zeyu Li, Shuo Wang, Guanglei Chen, Jiayi Rao, Zhan Wang, Weile Jia, Ninghui Sun, Guangming Tan; MD-pipe: A Strong Scaling Enhanced Pipeline Architecture for Ab Initio Accuracy Molecular Dynamics; The International Symposium on Computer Architecture (CCF-A)
15. [CF’25] Hongyu Wang, Mingzhen Li*, Weile Jia, Hailong Yang, Guangming Tan*, FastSpMM: Leveraging Tensor Cores for Sparse Matrix Multiplication, 22nd ACM International Conference on Computing Frontiers (CCF-C)
16. [IPDPS’25] Rongrong Liu, Zhuoqiang Guo, Qiuchen Sha, Tong Zhao, Haibo Li, Wei Hu, Lijun Liu, Guangming Tan, Weile Jia*; Large Scale Finite-Temperature Real-time Time Dependent Density Functional Theory Calculation with Hybrid Functional on ARM and GPU Systems; International Parallel and Distributed Processing Symposium(CCF-B)
17. [IPDPS’25] Yuanchang Zhou, Siyu Hu*, Chen Wang, Lin-Wang Wang, Guangming Tan, Weile Jia*; FastCHGNet: Training one Universal Interatomic Potential to 1.5 Hours with 32 GPUs; International Parallel and Distributed Processing Symposium (CCF-B)
18. [PPoPP’25] Weijian Liu, Mingzhen Li*, Guangming Tan, Weile Jia*; Mario: Near Zero-cost Activation Checkpointing in Pipeline Parallelism; ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (CCF-A)
19. [SC’24] Jianxiong Li, Boyang Li, Zhuoqiang Guo, Enji Li, Lijun Liu, Guojun Yuan, Zhan Wang, Guangming Tan, Weile Jia*; Scaling Molecular Dynamics with ab initio Accuracy to 149 nanoseconds per Day. , International Conference for High Performance Computing, Networking, Storage and Analysis (CCF-A)
20. [SC’24] Mille-feuille: A Tile-Grained Mixed-Precision Single-Kernel Conjugate Gradient Solver on GPUs Dechuang Yang, Yuxuan Zhao, Yiduo Niu, Weile Jia, En Shao, Weifeng Liu, Guangming Tan, Zhou Jin*, International Conference for High Performance Computing, Networking, Storage and Analysis (CCF-A)
21. [EuroPar’24] Guofeng Feng, Hongyu Wang, Zhuoqiang Guo, Mingzhen Li*, Tong Zhao, Zhou Jin, Weile Jia, Guangming Tan and Ninghui Sun. Accelerating Large-scale Sparse LU Factorization for RF Circuit Simulation; 30th International European Conference on Parallel and Distributed Computing (CCF-B)
22. [PPoPP’24 Poster] Guofeng Feng, Weile Jia, GuangMing Tan, Ninghui Sun, Jiajia Li; H3: A Hash-table Based and Holistically Optimized High-Performance Sparse Tensor Contraction; PPoPP24: Principles and Practice of Parallel Programming 2024 Poster(CCF-B)
23. [PPoPP’24] Siyu Hu, Tong Zhao, Qiuchen Sha, Liping Liu, Lin-Wang Wang, Guangming Tan, Weile Jia; Training one DeePMD Model in Minutes: a Step Towards Online Learning. PPoPP24: Principles and Practice of Parallel Programming 2024(CCF-A)
24. [SC’23] Jianxiong Li, Tong Zhao, Zhuoqiang Guo, Shunchen Shi, Lijun Liu, Guangming Tan, Weile Jia*, Guojun Yuan, Zhan Wang*. Enhance the Strong Scaling of LAMMPS on Fugaku. International Conference for High Performance Computing, Networking, Storage and Analysis (CCF-A)
25. [AAAI’23] Siyu Hu, Wentao Zhang, Qiuchen Sha, Feng Pan, Lin-Wang Wang, Weile Jia, Guangming Tan, Tong Zhao*, RLEKF: An Optimizer for Deep Potential with Ab initio Accuracy. AAAI23(CCF-A)
26. [SC’22] Wei Hu, Hong An*, Zhuoqiang Guo†, Qingcai Jiang† , Xinming Qin† , Junshi Chen, Weile Jia* , Chao Yang, Zhaolong Luo, Jielan Li, Wentiao Wu, Guangming Tan, Dongning Jia, Qinglin Lu, Fangfang Liu, Min Tian, Fang Li, Yeqi Huang, Liyi Wang, Sha Liu, Jinlong Yang*; 2.5 million-atom ab initio electronic-structure simulation of complex metallic heterostructures with DGDFT, International Conference for High Performance Computing, Networking, Storage and Analysis (CCF-A) (Gordon Bell Prize Finalist)
27. [PPoPP’22] Zhuoqiang Guo, Denghui lu, Yujin Yan, Siyu Hu, Rongrong Liu, Guangming Tan, Ninghui Sun, Wanrun Jiang, Lijun Liu, Yixiao Chen, Linfeng Zhang, Mohan Chen, Han Wang, Weile Jia*, “Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms.” PPoPP22: Principles and Practice of Parallel Programming 2022(CCF-A)
28. [SC’20] Weile Jia, Han Wang, Mohan Chen, Denghui Lu, Lin Lin, Roberto Car, E Weinan, Linfeng Zhang*, "Pushing the Limit of Molecular Dynamics with Ab Initio Accuracy to 100 Million Atoms with Machine Learning," SC20: International Conference for High Performance Computing, Networking, Storage and Analysis, 2020, pp. 1-14, doi: 10.1109/SC41405.2020.00009.(CCF-A)(ACM Gordon Bell Prize)
科研活动
科研项目（主持）：
0. 人工智能驱动的微观科学计算平台，主持，基金委“可解释、可通用的下一代人工智能方法重大研究计划” 重点项目，300万 2023-2026
1. 基金委面上项目，领域专用的大规模并行稀疏矩阵直接解法器，主持，59万，2024年1月--2027年12月
参与项目
0. 人工智能大数据与化学、材料或生物科学的结合（机器科学家），参与，中科院稳定支持基础科学领域青年科学家团队计划， 2000万，2021-2026
已结题项目
1. 中科院率先行动计划，主持，院级项目，300万，2022年1月 -- 2024年12月（已结题，优秀）
2. 科技部“高性能计算”重点专项-青年科学家项目，主持，200万，2022年7月-- 2024年6月（已结题，综合评价A档）
3. 众核架构上大规模分块治之电子结构算法研究, 主持, 计算所创新课题, 100万，2021-01--2022-12(已结题)
4. 中国科学院网络安全和信息化专项2022年度应用示范项目， 主持，院级项目，450万，2022年1月1日-2023年12月31日（已结题）
指导学生
已指导学生
武星星 硕士研究生 085404-计算机技术
现指导学生
向春阳 博士研究生 081201-计算机系统结构
张翔雨 博士研究生 081200-计算机科学与技术
杜奕明 硕士研究生 081200-计算机科学与技术
刘伟健 硕士研究生 081200-计算机科学与技术
徐宏涛 硕士研究生 081200-计算机科学与技术
李剑雄 博士研究生 081200-计算机科学与技术
李佳诚 硕士研究生 081200-计算机科学与技术
杨熹睿 硕士研究生 081200-计算机科学与技术
刘荣荣 博士研究生 081200-计算机科学与技术
周远昌 硕士研究生 081200-计算机科学与技术
程嵩博 硕士研究生 085400-电子信息
李恩吉 硕士研究生 085400-电子信息
杨锦武 博士研究生 081200-计算机科学与技术
王琛 博士研究生 081200-计算机科学与技术
郭润藩 硕士研究生 081200-计算机科学与技术
陆鹏举 硕士研究生 085400-电子信息