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Zhanhong Tan
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2020 – today
- 2024
- [c11]Zhanhong Tan
, Zijian Zhu
Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization. ASPLOS (1) 2024: 69-84 - [c10]Jingwei Cai, Zuotong Wu, Sen Peng, Yuchen Wei, Zhanhong Tan, Guiming Shi
Gemini: Mapping and Architecture Co-exploration for Large-scale DNN Chiplet Accelerators. HPCA 2024: 156-171 - [i6]Zhanhong Tan, Zijian Zhu, Kaisheng Ma:
Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization. CoRR abs/2402.00629 (2024) - 2023
- [c9]Guiming Shi
PHEP: Paillier Homomorphic Encryption Processors for Privacy-Preserving Applications in Cloud Computing. HCS 2023: 1-20 - [c8]Zhanhong Tan, Yifu Wu, Yannian Zhang, Haobing Shi, Wuke Zhang, Kaisheng Ma:
A Scalable Multi-Chiplet Deep Learning Accelerator with Hub-Side 2.5D Heterogeneous Integration. HCS 2023: 1-17 - [c7]Guiming Shi
A 28nm 68MOPS 0.18\mu\mathrm{J}/\text{Op}$ Paillier Homomorphic Encryption Processor with Bit-Serial Sparse Ciphertext Computing. ISSCC 2023: 242-243 - [i5]Jingwei Cai, Zuotong Wu, Sen Peng, Yuchen Wei, Zhanhong Tan, Guiming Shi, Mingyu Gao, Kaisheng Ma:
Gemini: Mapping and Architecture Co-exploration for Large-scale DNN Chiplet Accelerators. CoRR abs/2312.16436 (2023) - 2022
- [c6]Yiming Chen
YOLoC: deploy large-scale neural network by ROM-based computing-in-memory using residual branch on a chip. DAC 2022: 1093-1098 - [c5]Runpei Dong
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. ICML 2022: 5343-5359 - [i4]Yiming Chen, Guodong Yin, Zhanhong Tan, Mingyen Lee, Zekun Yang, Yongpan Liu, Huazhong Yang, Kaisheng Ma, Xueqing Li:
YOLoC: DeploY Large-Scale Neural Network by ROM-based Computing-in-Memory using ResiduaL Branch on a Chip. CoRR abs/2206.00379 (2022) - 2021
- [c4]Zhanhong Tan, Sia Huat Tan, Jan-Henrik Lambrechts, Yannian Zhang, Yifu Wu, Kaisheng Ma
A 400MHz NPU with 7.8TOPS2/W High-PerformanceGuaranteed Efficiency in 55nm for Multi-Mode Pruning and Diverse Quantization Using Pattern-Kernel Encoding and Reconfigurable MAC Units. CICC 2021: 1-2 - [c3]Zhanhong Tan, Hongyu Cai, Runpei Dong
NN-Baton: DNN Workload Orchestration and Chiplet Granularity Exploration for Multichip Accelerators. ISCA 2021: 1013-1026 - [i3]Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma:
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. CoRR abs/2112.15139 (2021) - 2020
- [c2]Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma
PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators. DAC 2020: 1-6 - [i2]Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma:
PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators. CoRR abs/2002.04997 (2020)
2010 – 2019
- 2019
- [c1]Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. NeurIPS 2019: 4029-4038 - [i1]Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma:
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. CoRR abs/1906.03951 (2019)
Coauthor Index
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