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ORCIDEnhao Tang
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2020 – today
- 2025
[j3]Enhao Tang
, Weize Ma, Yudan Jiang, Sheng Xu, Zhongfeng Wang, Jun Lin:
DiffAccel: Accelerating Diffusion Models Through Adaptive Feature Optimization and Dynamic Hardware Adaptation. IEEE Trans. Very Large Scale Integr. Syst. 33(12): 3290-3303 (2025)- [c7]Hao Zhou, Yang Liu, Hongji Wang, Enhao Tang, Shun Li, Yifan Zhang, Guohao Dai, Yongpan Liu, Kun Wang:
Deploying Diffusion Models with Scheduling Space Search and Memory Overflow Prevention Based on Graph Optimization. ASP-DAC 2025: 170-176 - [c6]Enhao Tang, Shun Li, Hao Zhou, Guohao Dai, Jun Lin, Kun Wang:
AiSpGEMM: Accelerating Imbalanced SpGEMM on FPGAs with Flexible Interconnect and Intra-row Parallel Merging. DATE 2025: 1-7 - [c5]Shun Li, Hao Zhou, Enhao Tang, Yang Liu, Shidi Tang, Ming Ling:
D-GCN: A Dynamic Pruning Accelerator for Deep Graph Convolutional Networks with Hybrid Dataflow. ACM Great Lakes Symposium on VLSI 2025: 798-804 - [d1]Enhao Tang:
Greenhouse Temp-Humidity Prediction with Multi-scale Convolution and Sparse. IEEE DataPort, 2025
- [i1]Xuan Shen, Weize Ma, Yufa Zhou, Enhao Tang, Yanyue Xie, Zhengang Li, Yifan Gong, Quanyi Wang, Henghui Ding, Yiwei Wang, Yanzhi Wang, Pu Zhao, Jun Lin, Jiuxiang Gu:
FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge. CoRR abs/2505.14709 (2025) - 2024
- [j2]Enhao Tang, Shun Li, Ruiqi Chen, Hao Zhou, Yuhanxiao Ma, Haoyang Zhang, Jun Yu, Kun Wang:
Graph-OPU: A Highly Flexible FPGA-Based Overlay Processor for Graph Neural Networks. ACM Trans. Reconfigurable Technol. Syst. 17(4): 58:1-58:33 (2024) - [c4]Shun Li, Ruiqi Chen, Enhao Tang, Yajing Liu, Jing Yang, Kun Wang:
S-LGCN: Software-Hardware Co-Design for Accelerating LightGCN. DATE 2024: 1-6 - [c3]Hao Zhou, Yang Liu, Hongji Wang, Enhao Tang, Shun Li, Yifan Zhang, Kun Wang:
SDAcc: A Stable Diffusion Accelerator on FPGA via Software-Hardware Co-Design. FCCM 2024: 214 - 2023
- [c2]Ruiqi Chen, Haoyang Zhang, Yuhanxiao Ma, Enhao Tang, Shun Li, Yanxiang Zhu, Jun Yu, Kun Wang:
Graph-OPU: An FPGA-Based Overlay Processor for Graph Neural Networks. FPGA 2023: 49 - [c1]Ruiqi Chen, Haoyang Zhang, Shun Li, Enhao Tang, Jun Yu, Kun Wang:
Graph-OPU: A Highly Integrated FPGA-Based Overlay Processor for Graph Neural Networks. FPL 2023: 228-234 - 2022
- [j1]Shun Li, Yuxuan Tao, Enhao Tang, Ting Xie, Ruiqi Chen:
A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities. PeerJ Comput. Sci. 8: e1166 (2022)
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