Publications

Full list publications can be fount at [Google Scholar] and [DBLP].

Conference Papers

• CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2
  Shihui Song, Yafan Huang, Peng Jiang, Xiaodong Yu, Weijian Zheng, Sheng Di, Qinglei Cao, Yunhe Feng, Zhen Xie, and Franck Cappello
  [HPDC’24]: The ACM International Symposium on High-Performance Parallel and Distributed Computing, 2024
  [Paper] [Slides]

• Characterizing Runtime Performance Variation in Error Detection by Duplicating Instructions
  Yafan Huang*, Zhengyang He*, Lingda Li, and Guanpeng Li
  [ISSRE’23]: The 34th IEEE International Symposium on Software Reliability Engineering, 2023
  [Paper] [Slides] [Video] [Code] (* indicates equal contribution)

• cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance
  Yafan Huang, Sheng Di, Xiaodong Yu, Guanpeng Li, and Franck Cappello
  [SC’23]: International Conference for High Performance Computing, Networking, Storage and Analysis, 2023
  [Paper] [Slides] [Video] [Code]

• Demystifying and Mitigating Cross-Layer Deficiencies of Soft Error Protection in Instruction Duplication
  Zhengyang He, Yafan Huang, Hui Xu, Dingwen Tao, and Guanpeng Li
  [SC’23]: International Conference for High Performance Computing, Networking, Storage and Analysis, 2023
  [Paper] [Slides] [Code]

• Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression
  Yafan Huang, Kai Zhao, Sheng Di, Guanpeng Li, Maxim Dmitriev, Thierry-Laurent D. Tonellot, and Franck Cappello
  [CCGrid’23]: IEEE/ACM International Symposium on Cluster Computing and the Grid, 2023
  [Paper] [Slides] [Video]

• Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs
  Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, and Franck Cappello
  [SC’22]: International Conference for High Performance Computing, Networking, Storage and Analysis, 2022
  [Paper] [Slides] [Video] [Code] [News]
  Best Paper Finalist, Best Student Paper Finalist

• SALUS: A Novel Data-Driven Approach for Enabling Real-Time Safety of Autonomous Vehicles
  Bohan Zhang, Yafan Huang, Guanpeng Li
  [QRS’22]: The 22nd IEEE International Conference on Software Quality, Reliability, and Security, 2022
  [Paper] [Slides]

• Rumor Detection on Social Media with Out-In-Degree Graph Convolutional Networks
  Shihui Song, Yafan Huang, and Hongwei Lu
  [SMC’21]: IEEE International Conference on Systems, Man and Cybernetics, 2021
  [Paper] [Slides] [Video]

Journal Papers

• Dynamic Entity-Based Named Entity Recognition Under Unconstrained Tagging Schemes
  Feng Zhao, Xiangyu Gui, Yafan Huang, Hai Jin, and Laurence T. Yang
  [TBD’22]: IEEE Transactions on Big Data, 2022
  [Paper]

• Path-enhanced Explainable Recommendation with Knowledge Graphs
  Yafan Huang, Feng Zhao, Xiangyu Gui, and Hai Jin
  [WWWJ’21]: World Wide Web, 2021
  [Paper] [Slides]

Workshop and Poster Papers

• Hardening Selective Protection across Multiple Program Inputs for HPC Applications
  Yafan Huang, Shengjian Guo, Sheng Di, Guanpeng Li, and Franck Cappello
  [PPoPP’22]: ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2022, Poster Session
  [Paper] [Poster] [Video] [Code]

• D2MoN: Detecting and Mitigating Real-Time Safety Violations in Autonomous Driving Systems
  Bohan Zhang, Yafan Huang, Rachael Chen, Guanpeng Li
  [RSDA@ISSRE’22]: International Workshop on Resiliency, Security, Defenses and Attacks, in conjunction with ISSRE’22
  [Paper] [Slides] [News]