HGAR: Hybrid Granular Algorithm for Rating Recommendation. - Fulan Qian; Yafan Huang; Jianhong Li; Shu Zhao; Jie Chen 025; Xiangyang Wang 006; Yanping Zhang 001 (IJCRS, 2020)

Rumor Detection on Social Media with Out-In-Degree Graph Convolutional Networks. - Shihui Song; Yafan Huang; Hongwei Lu (SMC, 2021)

DLSA: dual-learning based on self-attention for rating prediction. - Fulan Qian; Yafan Huang; Jianhong Li; Chengjun Wang; Shu Zhao; Yanping Zhang 001 (Int. J. Mach. Learn. Cybern., 2021)

Path-enhanced explainable recommendation with knowledge graphs. - Yafan Huang; Feng Zhao 003; Xiangyu Gui; Hai Jin 001 (World Wide Web, 2021)

D2MoN: Detecting and Mitigating Real-Time Safety Violations in Autonomous Driving Systems. - Bohan Zhang; Yafan Huang; Rachael Chen; Guanpeng Li (ISSRE Workshops, 2022)

Hardening selective protection across multiple program inputs for HPC applications. - Yafan Huang; Shengjian Guo; Sheng Di; Guanpeng Li; Franck Cappello (PPoPP, 2022)

Salus: A Novel Data-Driven Monitor that Enables Real-Time Safety in Autonomous Driving Systems. - Bohan Zhang; Yafan Huang; Guanpeng Li (QRS, 2022)

Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs. - Yafan Huang; Shengjian Guo; Sheng Di; Guanpeng Li; Franck Cappello (SC, 2022)

MATT. A Multiple-instance Attention Mechanism for Long-tail Music Genre Classification. - Xiaokai Liu; Shihui Song; Menghua Zhang; Yafan Huang (SMC, 2022)

Dynamic Entity-Based Named Entity Recognition Under Unconstrained Tagging Schemes. - Feng Zhao 003; Xiangyu Gui; Yafan Huang; Hai Jin 001; Laurence T. Yang (IEEE Trans. Big Data, 2022)

Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression. - Yafan Huang; Kai Zhao 008; Sheng Di; Guanpeng Li; Maxim Dmitriev; Thierry-Laurent D. Tonellot; Franck Cappello (CCGrid, 2023)

Characterizing Runtime Performance Variation in Error Detection by Duplicating Instructions. - Yafan Huang; Zhengyang He; Lingda Li; Guanpeng Li (ISSRE, 2023)

Demystifying and Mitigating Cross-Layer Deficiencies of Soft Error Protection in Instruction Duplication. - Zhengyang He; Yafan Huang; Hui Xu 009; Dingwen Tao; Guanpeng Li (SC, 2023)

cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance. - Yafan Huang; Sheng Di; Xiaodong Yu 001; Guanpeng Li; Franck Cappello (SC, 2023)

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Yafan Huang; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Zizhong Chen; Franck Cappello; Yanfei Guo; et al. (CoRR, 2023)

cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs. - Jinyang Liu 003; Jiannan Tian; Shixun Wu; Sheng Di; Boyuan Zhang 002; Yafan Huang; Kai Zhao 008; Guanpeng Li; Dingwen Tao; Zizhong Chen; Franck Cappello (CoRR, 2023)

CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2. - Shihui Song; Yafan Huang; Peng Jiang 004; Xiaodong Yu 001; Weijian Zheng; Sheng Di; Qinglei Cao; Yunhe Feng; Zhen Xie; Franck Cappello (HPDC, 2024)

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Yafan Huang; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Xiaoyi Lu; Zizhong Chen; Franck Cappello; et al. (ICS, 2024)

POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. - Jiajun Huang 001; Sheng Di; Xiaodong Yu 001; Yujia Zhai; Jinyang Liu 003; Yafan Huang; Ken Raffenetti; Hui Zhou 012; Kai Zhao 008; Zizhong Chen; Franck Cappello; Yanfei Guo; et al. (PPoPP, 2024)

cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation. - Jinyang Liu 003; Jiannan Tian; Shixun Wu; Sheng Di; Boyuan Zhang 002; Robert Underwood; Yafan Huang; Jiajun Huang 001; Kai Zhao 008; Guanpeng Li; Dingwen Tao; Zizhong Chen; et al. (SC, 2024)

SZOps: Scalar Operations for Error-bounded Lossy Compressor for Scientific Data. - Tripti Agarwal; Sheng Di; Jiajun Huang 001; Yafan Huang; Ganesh Gopalakrishnan; Robert Underwood; Kai Zhao 008; Xin Liang 001; Guanpeng Li; Franck Cappello (SC Workshops, 2024)

cuSZp2: A GPU Lossy Compressor with Extreme Throughput and Optimized Compression Ratio. - Yafan Huang; Sheng Di; Guanpeng Li; Franck Cappello (SC, 2024)

Versatile Datapath Soft Error Detection on the Cheap for HPC Applications. - Yafan Huang; Sheng Di; Zhaorui Zhang; Xiaoyi Lu; Guanpeng Li (SC, 2024)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (CoRR, 2024)

HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data. - Tripti Agarwal; Sheng Di; Jiajun Huang 001; Yafan Huang; Ganesh Gopalakrishnan; Robert Underwood; Kai Zhao 008; Xin Liang 001; Guanpeng Li; Franck Cappello (CoRR, 2024)

Lossy Parallel Visualization of Large-Scale Volume Data with Error-Bounded Image Compositing. - Yongfeng Qiu; Yuxiao Li 002; Xin Liang 001; Yafan Huang; Guanpeng Li; Sheng Di; Franck Cappello; Hanqi Guo 001 (IPDPS (Workshops), 2025)

A Memory-Efficient and Computation-Balanced Lossy Compressor on Wafer-Scale Engine. - Shihui Song; Robert Underwood; Sheng Di; Yafan Huang; Peng Jiang 004; Franck Cappello (IPDPS, 2025)

GPZ: GPU-Accelerated Lossy Compressor for Particle Data. - Ruoyu Li; Yafan Huang; Longtao Zhang; Zhuoxun Yang; Sheng Di; Jiajun Huang 001; Jinyang Liu 003; Jiannan Tian; Xin Liang 001; Guanpeng Li; Hanqi Guo 001; Franck Cappello; et al. (CoRR, 2025)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (ACM Comput. Surv., 2025)