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陶鼎文  研究员  


                                        
研究方向：

                                        
所属部门：高性能计算机研究中心

                                        
导师类别：博导计算机系统结构

                                        
联系方式：taodingwen@ict.ac.cn

                                        
个人网页：https://people.ucas.edu.cn/~tdw

                                    

                                

                            


                        

                    

                

            

            

                

                    

                        

                            

                                
简       历：

                                

                                    
2024年4月 — 今：中国科学院计算技术研究所，研究员
2022年8月 — 2024年4月：美国印第安纳大学，副教授
2020年8月 — 2022年8月：美国华盛顿州立大学，助理教授
2018年8月 — 2020年8月：美国阿拉巴马大学，助理教授
2013年9月 — 2018年6月：美国加利福尼亚大学河滨分校，计算机科学与工程系，博士生
2009年9月 — 2013年7月：中国科学技术大学，数学科学学院，本科生


                                

                            

                            

                                
主要论著：

                                

                                    
会议文章：
1. Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao. "SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training." Advances in Neural Information Processing Systems 37 (2025).（CCF A类）
2. Hao Hu, Qiyang Zheng, Xiangyu Zou, Lisha Qin, Chengwei Zhang, Wanchuan Zhang, Zhaoheng Jiang, Daoce Wang, Dingwen Tao, Hongpeng Wang, Wen Xia. "A Cost-Effective and Decompression-Transparent Compressor for OLTP-Oriented Databases." The 41st IEEE International Conference on Data Engineering, Hong Kong SAR, May 19–23, 2025.（CCF A类）
3. Longtao Zhang, Ruoyu Li, Congrong Ren, Sheng Di, Jinyang Liu, Jiajun Huang, Robert Underwood, Pascal Grosset, Dingwen Tao, Xin Liang, Hanqi Guo, Franck Cappello, Kai Zhao. "LCP: Enhancing Scientific Data Management with Lossy Compression for Particles." Proceedings of the ACM on Management of Data, Berlin, Germany, June 22-27, 2025.（CCF A类）
4. Baixi Sun, Weijin Liu, J. Gregory Pauloski, Jiannan Tian, Jinda Jia, Daoce Wang, Mingkai Zheng, Sheng Di, Sian Jin, Zhao Zhang, Xiaodong Yu, Guangming Tan, Dingwen Tao. "COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers." The The 28th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programmin, Las Vegas, Nevada, March 1–March 5, 2025.（CCF A类）
5. Hao Feng, Boyuan Zhang, Fanjiang Ye, Min Si, Ching-Hsiang Chu, Jiannan Tian, Chunxing Yin, Zhaoxia (Summer) Deng, Yuchen Hao, Pavan Balaji, Tong Geng, Dingwen Tao. "Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression." SC24: The International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, November 17–22, 2024.（CCF A类）
6. Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James Ahrens, Dingwen Tao. "A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization." SC24: The International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, November 17–22, 2024.（CCF A类）
7. Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Robert Underwood, Yafan Huang, Jiajun Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, and Franck Cappello. "CUSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation." SC24: The International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, November 17–22, 2024.（CCF A类）
8. Zhen Xie, Murali Emani, Xiaodong Yu, Dingwen Tao, Xin He, Pengfei Su, Keren Zhou, Venkatram Vishwanath. "Centimani: Enabling Fast AI Accelerator Selection for DNN Training with a Novel Performance Predictor." 2024 USENIX Annual Technical Conference, Santa Clara, CA, USA, July 10-12, 2024.（CCF A类）
9. Xinyu Chen, Jiannan Tian, Ian Beaver, Cynthia Freeman, Yan Yan, Jianguo Wang, Dingwen Tao. "FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-Point Data." The 50th International Conference on Very Large Data Bases, Guangzhou, China, August 25-29, 2024. DOI: 10.14778/3648160.3648180.（CCF A类）
10. Chenxi Li, Boyuan Zhang, Yonggiang Duan, Yang Li, Zuochang Ye, Weifeng Liu, Dingwen Tao, Zhou Jin. "MASC: A Memory-Eficient Adjoint Sensitivity Analysis through Compression Using Novel Spatiotemporal Prediction." The 61st Annual Design Automation Conference, San Francisco, CA, USA, June 23–27, 2024. DOI: 10.1145/3649329.3657393.（CCF A类）
11. Sian Jin, Sheng Di, Frederic Vivien, Daoce Wang, Yves Robert, Dingwen Tao, Franck Cappello. "Concealing Compression-Accelerated I/O for HPC Applications through In Situ Task Scheduling." The Nineteenth European Conference on Computer Systems, Athens, Greece, April 23-26, 2024. DOI: 10.1145/3627703.3629573.（CCF A类）
12. Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean Sexton, Sheng Di, Zarija Lukic, Kai Zhao, Bo Fang, Franck Cappello, James Ahrens, Dingwen Tao. "AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications." SC23: The International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, CO, USA, November 12–17, 2023. DOI: 10.1145/3581784.3613212.（CCF A类）
13. Zhengyang He, Yafan Huang, Hui Xu, Dingwen Tao, Guanpeng Li. "Demystifying and Mitigating Cross-Layer Deficiencies of Soft Error Protection in Instruction Duplication." SC23: The International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, CO, USA, November 12–17, 2023. DOI: 10.1145/3581784.3607078.（CCF A类）
14. Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Song, Yuxiong He, Dingwen Tao. "HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs." The 37th ACM International Conference on Supercomputing, Orlando, FL, USA, June 21–23, 2023. DOI: 10.1145/3577193.3593717.（CSRankings类论文）
15. Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello. "gpuLZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs." The 37th ACM International Conference on Supercomputing, Orlando, FL, USA, June 21–23, 2023. DOI: 10.1145/3577193.3593706.（CSRankings类论文）
16. Anqi Guo, Yuchen Hao, Chunshu Wu, Pouya Haghi, Zhenyu Pan, Min Si, Dingwen Tao, Ang Li, Martin Herbordt, Tong Geng. "Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training." The 37th ACM International Conference on Supercomputing, Orlando, FL, USA, June 21–23, 2023. DOI: 10.1145/3577193.3593724.（CSRankings类论文）
17. Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello. "FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs." The 32nd ACM International Symposium on High-Performance Parallel and Distributed Computing, Orlando, FL, June 16–23, 2023. DOI: 10.1145/3588195.3592994.（CSRankings类论文）
18. Pu Jiao, Sheng Di, Hanqi Guo, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang*, Franck Cappello. "Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data." The 49th International Conference on Very Large Data Bases, Vancouver, Canada, August 28–September 1, 2023. DOI: 10.14778/3574245.3574255.（CCF A类）
19. Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan. "HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks." The 37th AAAI Conference on Artificial Intelligence, Washington, DC, USA, Feb 7–14, 2023. DOI: 10.1609/aaai.v37i9.26244.（CCF A类）
20. Lizhi Xiang*, Miao Yin*, Chengming Zhang, Aravind Sukumaran-Rajam, P. Saday, Bo Yuan, Dingwen Tao. "TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition." The 28th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Montreal, Canada, Feb 26–March 1, 2023. DOI: 10.1145/3572848.3577478.（CCF A类）
21. Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello. "Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5." SC22: The International Conference for High Performance Computing, Networking, Storage and Analysis, Dallas, TX, USA, November 13–18, 2022. DOI: 10.1109/SC41404.2022.00066.（CCF A类）
22. Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao. "CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Designed Adaptive Lossy Compression." The 36th ACM International Conference on Supercomputing, Virtual, USA, June 27–30, 2022. DOI: 10.1145/3524059.3532362.（CSRankings类论文）
23. Heng Zhang, Lingda Li, Hang Liu, Donglin Zhuang, Rui Liu, Chengying Huan, Shuang Song, Dingwen Tao, Yongchao Liu, Charles He, Yanjun Wu, Shuaiwen Leon Song. "Bring Orders into Uncertainty: Enabling Efficient Uncertain Graph Processing via Novel Path Sampling on Multi-Accelerator System." The 36th ACM International Conference on Supercomputing, Virtual, USA, June 27–30, 2022. DOI: 10.1145/3524059.3532379.（CSRankings类论文）
24. Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James Ahrens, Dingwen Tao. "TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations." The 31st ACM International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, June 27–July 1, 2022. DOI: 10.1145/3502181.3531458.（CSRankings类论文）
25. Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello. "Ultra-fast Error-bounded Lossy Compression for Scientific Dataset." The 31st ACM International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, June 27–July 1, 2022. DOI: 10.1145/3502181.3531473.（CSRankings类论文）
26. Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello. "Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling." The 38th IEEE International Conference on Data Engineering, Virtual Event, May 9–12, 2022. DOI: 10.1109/ICDE53745.2022.00232.（CCF A类）
27. Sian Jin, Chengming Zhang, Jiannan Tian, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao. "COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression." The 48th International Conference on Very Large Data Bases, Australia, September 5–9, 2022. DOI: 10.14778/3503585.3503597.（CCF A类）
28. Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Song, Dingwen Tao. "ClickTrain: Efficient and Accurate End-to-End Deep Learning Training via Fine-Grained Architecture-Preserving Pruning." The 35th ACM International Conference on Supercomputing, Virtual, USA, June 14–17, 2021. DOI: 10.1145/3447818.3459988.（CSRankings类论文）
29. Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James Ahrens. "Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling." The 30th ACM International Symposium on High-Performance Parallel and Distributed Computing, Virtual Event, Sweden, June 21–25, 2021. DOI: 10.1145/3431379.3460653.（CSRankings类论文）
30. Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Dingwen Tao. "RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition." The 57th Annual Design Automation Conference, San Francisco, CA, USA, July 19–23, 2020. DOI: 10.5555/3437539.3437579.（CCF A类）
31. Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Zizhong Chen, Franck Cappello. "Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization." The 29th ACM International Symposium on High-Performance Parallel and Distributed Computing, Stockholm, Sweden, June 23–26, 2020. DOI: 10.1145/3369583.3392688.（CSRankings类论文）
32. Jiannan Tian, Sheng Di, Chengming Zhang, Xin Liang, Sian Jin, Dazhao Cheng, Dingwen Tao, Franck Cappello. "waveSZ: A Hardware-Algorithm Co-Design of Efficient Lossy Compression for Scientific Data." The 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, San Diego, CA, USA, Feb 22–26, 2020. DOI: 10.1145/3332466.3374525.（CCF A类）
33. Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello. "DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression." The 28th ACM International Symposium on High-Performance Parallel and Distributed Computing, Phoenix, AZ, USA, June 24–28, 2019. DOI: 10.1145/3307681.3326608.（CSRankings类论文）
34. Xin Liang, Sheng Di, Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, Franck Cappello. "Significantly Improving Lossy Compression Quality Based on An Optimized Hybrid Prediction Model." SC19: The International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, CO, USA, Nov 17–22, 2019. DOI: 10.1145/3295500.3356193.（CCF A类）
35. Jieyang Chen, Nan Xiong, Xin Liang, Dingwen Tao, Sihuan Li, Kaiming Ouyang, Kai Zhao, Nathan DeBardeleben, Qiang Guan, Zizhong Chen. "TSM2: Optimizing Tall-and-Skinny Matrix-Matrix Multiplication on GPUs." The 33rd ACM International Conference on Supercomputing, AZ, USA, June 26–28, 2019. DOI: 10.1145/3330345.3330355.（CSRankings类论文）
36. Jieyang Chen, Hongbo Li, Sihuan Li, Xin Liang, Panruo Wu, Dingwen Tao, Kaiming Ouyang, Yuanlai Liu, Kai Zhao, Qiang Guan, Zizhong Chen. "FT-MAGMA: Fault Tolerance Dense Matrix Decomposition on Heterogeneous Systems with GPUs." SC18: The International Conference for High Performance Computing, Networking, Storage and Analysis, Dallas, TX, USA, Nov 11–16, 2018. DOI: 10.1109/SC.2018.00071.（CCF A类）
37. Xin Liang, Sheng Di, Dingwen Tao, Zizhong Chen, Franck Cappello. "An Efficient Transformation Scheme for Lossy Data Compression with Point-wise Relative Error Bound." IEEE International Conference on Cluster Computing, Belfast, UK, September 10–13, 2018. DOI: 10.1109/CLUSTER.2018.00036. (最佳领域论文, 4/154).
38. Ali Murat Gok, Sheng Di, Yury Alexeev, Dingwen Tao, Vladimir Mironov, Franck Cappello. "PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry." IEEE International Conference on Cluster Computing, Belfast, UK, September 10–13, 2018. DOI: 10.1109/CLUSTER.2018.00013. (最佳会议论文, 1/154)
39. Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello. "Improving Performance of Iterative Methods by Lossy Checkponting." The 27th ACM International Symposium on High-Performance Parallel and Distributed Computing, Tempe, AZ, USA, June 11– 15, 2018. DOI: 10.1145/3208040.3208050.（CSRankings类论文）
40. Xin Liang, Jieyang Chen, Dingwen Tao, Sihuan Li, Panruo Wu, Hongbo Li, Kaiming Ouyang, Yuanlai Liu, Fengguang Song, Zizhong Chen. "Correcting Soft Errors Online in Fast Fourier Transform." SC17: The International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, CO, USA, Nov 12–17, 2017. DOI: 10.1145/3126908.3126915.（CCF A类）
41. Panruo Wu, Nathan Debardeleben, Qiang Guan, Sean Blanchard, Jieyang Chen, Dingwen Tao, Xin Liang, Kaiming Ouyang, Sihuan Li, Zizhong Chen. "Silent Data Corruption Resilient Two-sided Matrix Factorizations." The 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Austin, TX, USA, February 4–8, 2017. DOI: 10.1145/3155284.3018750.（CCF A类）
42. Jieyang Chen, Li Tan, Panruo Wu, Dingwen Tao, Hongbo Li, Xin Liang, Sihuan Li, Rong Ge, Laxmi Bhuyan, Zizhong Chen. "GreenLA: Green Linear Algebra Software for GPU-Accelerated Heterogeneous Computing." SC16: The International Conference for High Performance Computing, Networking, Storage and Analysis, Salt Lake City, UT, USA. DOI: 10.1109/SC.2016.56.（CCF A类）
43. Dingwen Tao, Shuaiwen Leon Song, Sriram Krishnamoorthy, Panruo Wu, Xin Liang, Eddy Z. Zhang, Darren Kerbyson, Zizhong Chen. "New-Sum: A Novel Online ABFT Scheme for General Iterative Methods." The 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, Kyoto, JAPAN, May 31– June 4, 2016. DOI: 10.1145/2907294.2907306.（CSRankings类论文）
44. Panruo Wu, Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Dingwen Tao, Xin Liang, Jieyang Chen, Zizhong Chen. "Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra." The 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, Kyoto, JAPAN, May 31–June 4, 2016. DOI: 10.1145/2907294.2907315.（CSRankings类论文）
 
期刊文章:
1. Donglei Wu, Weihao Yang, Xiangyu Zou, Hao Feng, Dingwen Tao, Shiyi Li, Wen Xia, Binxing Fang. “BIRD+: Design of a Lightweight Communication Compressor for Resource-Constrained Distribution Learning Platforms.” IEEE Transactions on Parallel and Distributed Systems 35, no. 11 (2024): 2193-2207. DOI: 10.1109/TPDS.2024.3447221.（CCF A类）
2. Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James Arhens, Dingwen Tao. "TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations." IEEE Transactions on Parallel and Distributed Systems 35, no. 3 (2024): 421-438. DOI: 10.1109/TPDS.2023.3339474.（CCF A类）
3. Haoyu Jin, Donglei Wu, Shuyu Zhang, Xiangyu Zou, Sian Jin, Dingwen Tao, Qing Liao, Wen Xia. "Design of a Quantization-based DNN Delta Compression Framework for Model Snapshots and Federated Learning." IEEE Transactions on Parallel and Distributed Systems 34, no. 3 (2023): 923-937. DOI: 10.1109/TPDS.2022.3230840.（CCF A类）
4. Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian Foster, Franck Cappello. "Optimizing Error-Bounded Lossy Compression for Scientific Data with Diverse Constraints." IEEE Transactions on Parallel and Distributed Systems 33, no. 12 (2022): 4440-4457. DOI: 10.1109/TPDS.2022.3194695.（CCF A类）
5. Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, Dave Pugmire, Matthew Wolf, Nobert Podhorszki, Scott Klasky. "MGARD+: Optimizing Multilevel Methods for Error-bounded Scientific Data Reduction." IEEE Transactions on Computers 71, no. 7 (2021): 1522-1536. DOI: 10.1109/TC.2021.3092201.（CCF A类）
6. Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Haijun Zhang, Sheng Di, Dingwen Tao, Franck Cappello. "Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data." IEEE Transactions on Parallel and Distributed Systems 31, no. 7 (2020): 1665-1680. DOI: 10.1109/TPDS.2020.2972548.（CCF A类）
7. Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello. "Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection Between SZ and ZFP." IEEE Transactions on Parallel and Distributed Systems 30, no. 8 (2019): 1857-1871. DOI: 10.1109/TPDS.2019.2894404.（CCF A类）
8. Sheng Di, Dingwen Tao, Xin Liang, Franck Cappello. "Efficient Lossy Compression for Scientific Data based on Pointwise Relative Error Bound." IEEE Transactions on Parallel and Distributed Systems 30, no. 2 (2018): 331-345. DOI: 10.1109/TPDS.2018.2859932.（CCF A类）


                                

                            

                            

                                
科研项目：

                                

                                    
1. 面向超大规模宇宙学模拟的高性能数据缩减技术研究, 项目负责人, 中国科学院计划, 2025-01--2027-12.
2. 基于自适应混合压缩技术的大模型通信效率优化, 项目负责人, 华为合作项目, 2024-12--2025-11.
3. 复杂模型训练场景下的全自动并行化与异构任务高效重叠化, 项目负责人, CCF-百度松果基金, 2024-11--2025-10.
4. 面向大模型预训练通信加速的高效压缩技术, 项目负责人, 蚂蚁合作项目, 2024-11--2025-10.
5. 数据聚类分组压缩优化研究, 项目负责人, CCF-中科可控光合基金, 2024-10--2025-09.
6. 高性能计算基础软件, 项目负责人, 国家自然科学基金优秀青年科学基金项目, 2024-10--2027-09.
7. 面向智能科学工作流的数据缩减技术研究, 项目负责人, 中国科学院计算技术研究所所级创新课题, 2024-06--2026-05.


                                

                            

                            

                                
获奖及荣誉：

                                

                                    
2024年，CCF高性能计算青年科技人才奖
2023年，美国NSF CAREER奖
2022年，Amazon研究奖
2022年，Meta研究奖
2021年，R&D100研发奖
2020年，IEEE高性能专委会杰出新人奖
2020年，美国NSF CRII奖
2018年，IEEE Cluster会议最佳论文奖