会议文章：

1. [PPoPP'26] Xingchen Liu, Haoran Kong, Shengkai Lyu, Zheng Wei, Man Liu, Xingjian Tian, Liyang Zhao, Zhuohan Chen, Fakang Wang, Zizhong Chen, Zhan Wang, Guangming Tan, Dingwen Tao. "COCCL: A Collective Communication Library Supporting Easy Integration and Configuration of Customized Compression for Scalable LLM Training." The 31st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Sydney, Australia, January 31–Feburary 4, 2026.（CCF A类）

2. [PPoPP'26] Yida Gu, Fakang Wang, Zhenhang Sun, Qianyu Zhang, Hairui Zhao, Xingchen Liu, Yang Tian, Wenjing Huang, Zedong Liu, Yifan Chen, Jinwu Yang, Yueyuan Zhou, Qian Zhao, Haoxu Li, Tao Wang, Feng Yu, Zhan Wang, Guangming Tan, Dingwen Tao. "CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training." The 31st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Sydney, Australia, January 31–Feburary 4, 2026.（CCF A类）

3. [PPoPP'26] Bing Lu, Zedong Liu, Hairui Zhao, Dejun Luo, Wenjing Huang, Yida Gu, Jinyang Liu, Guangming Tan, Dingwen Tao. "PRISM: An Efficient GPU-Based Lossy Compression Framework for Progressive Data Retrieval with Multi-Level Interpolation." The 31st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Sydney, Australia, January 31–Feburary 4, 2026.（CCF A类）

4. [AAAI'26] Donglei Wu, Zhihong Tian, Xiao Cai, Jinda Jia, Jinglei Tan, Guangming Tan, Dingwen Tao, Wen Xia. "RCMoE: a Communication-Efficient Random Compression Framework for Resource-Constrained Mixture-of-Experts Training." The Fortieth AAAI Conference on Artificial Intelligence, Singapore, Janurary 20-27, 2026.（Oral ?/23680，CCF A类）

5. [NeurIPS'25] Zedong Liu, Shenggan Cheng, Guangming Tan, Yang You, Dingwen Tao. "ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism." Advances in Neural Information Processing Systems 38 (2026).（Oral 77/21575=0.357%，CCF A类）

6. [SC'25] Wenjing Huang, Jinwu Yang, Shengquan Yin, Haoxu Li, Yida Gu, Zedong Liu, Jing Xing, Zheng Wei, Shuyuan Fu, Hao Hu, Guangming Tan, Dingwen Tao. "MANS: Efficient and Portable ANS Encoding for Multi-Byte Integer Data on CPUs and GPUs." SC25: The International Conference for High Performance Computing, Networking, Storage and Analysis, St. Louis, MO, USA, November 16–21, 2025.（CCF A类）

7. [SC'25] Franck Cappello, Robert Underwood, Yuri Alexeev, Alison Baker, Ebru Bozdağ, Martin Burtscher, Kyle Chard, Sheng Di, Kyle Gerard Felker, Paul Chrsitopher O'Grady, Hanqi Guo, Yafan Huang, Peng Jiang, Sian Jin, Petter Johansson, Shaomeng Li, Xin Liang, Erik Lindahl, Peter Lindstrom, Zarija Lukić, Magnus Lundborg, Danylo Lykov, Masaru Nagaso, Kento Sato, Amarjit Singh, Seung Woo Son, Shihui Song, William Tang,  Dingwen Tao, Jiannan Tian, Kazutomo Yoshii, Kai Zhao. "What to Support When You’re Compressing: The State of Practice, Gaps, and Opportunities for Scientific Data Compression." SC25: The International Conference for High Performance Computing, Networking, Storage and Analysis, St. Louis, MO, USA, November 16–21, 2025.（CCF A类）

8. [HPDC'25] Zheng Wei, Jing Xing, Yida Gu, Wenjing Huang, Dong Dai, Guangming Tan, Dingwen Tao. "TSUE: A Two-Stage Data Update Method for an Erasure Coded Cluster File System."  The 34th ACM International Symposium on High-Performance Parallel and Distributed Computing, Notre Dame, IN, USA, July 20-23, 2025. DOI: 10.1145/3731545.3731577.（CSRankings类）

9. [ICS'25] Yan Wang, Qinghua Guo, Haoran Kong, Kai Sheng, Hao Chen, Zhen Xie, Weile Jia, Dingwen Tao, Xin He. "Cherry: Breaking the GPU Memory Wall for Large-Scale GNN Training via Micro-Batching."  The 39th ACM International Conference on Supercomputing, Salt Lake City, UT, USA, June 8–11, 2025. DOI: 10.1145/3721145.3730429.（CSRankings类）

10. [ICS'25] Boyuan Zhang, Bo Fang, Fanjiang Ye, Luanzheng Guo, Tallent Nathan, Dingwen Tao. "BMQSim: Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework."  The 39th ACM International Conference on Supercomputing, Salt Lake City, UT, USA, June 8–11, 2025. DOI: 10.1145/3721145.3725747.（最佳论文亚军，CSRankings类）

11. [DAC'25] Chenxi Li, Yihang Feng, Fuxing Deng, Dingwen Tao, Weifeng Liu, Zhou Jin. "MemSens: Significantly Reducing Memory Overhead in Adjoint Sensitivity Analysis Using Novel Error-Bounded Lossy Compression." The 62nd Annual Design Automation Conference, San Francisco, CA, USA, June 22–25, 2025.（CCF A类）

12. [DAC'25] Donglei Wu, Weihao Yang, Xiangyu Zou, Jinda Jia, Dingwen Tao, Wen Xia, Zhihong Tian. "BirdMoE: Reducing Communication Costs for Mixture-of-Experts Training Using Load-Aware Bi-random Quantization." The 62nd Annual Design Automation Conference, San Francisco, CA, USA, June 22–25, 2025.（CCF A类）

13. [ICDE'25] Hao Hu, Qiyang Zheng, Xiangyu Zou, Lisha Qin, Chengwei Zhang, Wanchuan Zhang, Zhaoheng Jiang, 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. DOI: 10.1109/ICDE65448.2025.00037.（CCF A类）

14. [VLDB'25] 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. DOI: 10.1145/3709700.（CCF A类）

15. [PPoPP'25] 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 30th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Las Vegas, Nevada, March 1–March 5, 2025. DOI: 10.1145/3710848.3710852.（CCF A类）

16. [NeurIPS'24] 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). DOI: 10.5555/3737916.3738195.（CCF A类）

17. [SC'24] 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. DOI: 10.1109/SC41406.2024.00095.（CCF A类）

18. [SC'24] 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. DOI: 10.1109/SC41406.2024.00091.（CCF A类）

19. [SC'24] 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. DOI: 10.1109/SC41406.2024.00019.（CCF A类）

20. [ATC'24] 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. DOI: 10.5555/3691992.3692065.（CCF A类）

21. [VLDB'24] 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）

22. [DAC'24] 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）

23. [EuroSys'24] 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）

24. [SC'23] 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）

25. [SC'23] 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）

26. [ICS'23] 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）

27. [ICS'23] 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）

28. [ICS'23] 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）

29. [HPDC'23] 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）

30. [VLDB'23] 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）

31. [AAAI'23] 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）

32. [PPoPP'23] 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）

33. [SC'22] 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）

34. [ICS'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）

35. [ICS'22] 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）

36. [HPDC'22] 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）

37. [HPDC'22] 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）

38. [ICDE'22] 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）

39. [VLDB'22] 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）

40. [ICS'21] 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）

41. [HPDC'21] 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）

42. [DAC'20] 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）

43. [HPDC'20] 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）

44. [PPoPP'20] 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）

45. [HPDC'20] 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）

46. [SC'19] 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）

47. [ICS'19] 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）

48. [SC'18] 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）

49. [Cluster'18] 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).

50. [Cluster'18] 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)

51. [HPDC'18] 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）

52. [SC'17] 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）

53. [PPoPP'17] 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）

54. [SC'16] 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）

55. [HPDC'16] 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）

56. [HPDC'16] 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）

期刊文章:

1. [TPDS'25] Xiang Chen, Bing Lu, Haoquan Long, Huizhang Luo, Yili Ma, Guangming Tan, Dingwen Tao, Fei Wu, Tao Lu. "Computational Burst Buffers: Accelerating HPC I/O via In-Storage Compression Offloading." IEEE Transactions on Parallel and Distributed Systems. DOI: 10.1109/TPDS.2025.3643175.（CCF A类）

2. [TACO'25] Xiangyu Zou, Shihao Wang, Yang Shi, Xinyu Chen, Sian Jin, Dingwen Tao, Wen Xia. "The Design of an Efficient Lossy Compressor for Time Series Databases." ACM Transactions on Architecture and Code Optimization (2025). DOI: 10.1145/3767158.（CCF A类）

3. [TACO'25] Zhanyuan Di, Leping Wang, Zhaojia Ma, En Shao, Jie Zhao, Ziyi Ren, Siyuan Feng, Dingwen Tao, Guangming Tan, Ninghui Sun. "Accelerating Parallel Structures in DNNs via Parallel Fusion and Operator Co-Optimization." ACM Transactions on Architecture and Code Optimization 22(3): 92:1-92:26 (2025). DOI: 10.1145/3744906.（CCF A类）

4. [TPDS'25] Zhaorui Zhang, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Zhuoran Ji, Benben Liu, Khalid Ayed Alharthi, Jiannong Cao, Franck Cappello. "FedCSpc: A Cross-Silo Federated Learning System with Error-Bounded Lossy Parameter Compression." IEEE Transactions on Parallel and Distributed Systems 36, no. 7 (2025): 1732-1768. DOI: 10.1109/TPDS.2025.3564736.（CCF A类）

5. [TPDS'24] 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）

6. [TPDS'24] 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）

7. [TBD'23] Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello: SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. IEEE Transactions on Big Data 9, no. 2 (2023): 485-498. DOI: 10.1109/TBDATA.2022.3201176.（2023年度最佳论文）

8. [TPDS'23] 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）

9. [TPDS'22] 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）

10. [TC'21] 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）

11. [TPDS'20] 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）

12. [TPDS'19] 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）

13. [TPDS'18] 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）

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2025年，ACM ICS Best Paper Runnerup

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