Zhanhong Tan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Pulse Coupled Neural Networks

Top Venues

Publications

Zhanhong Tan, Zijian Zhu, Kaisheng Ma
Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization. CoRR (2024)
Zhanhong Tan, Zijian Zhu, Kaisheng Ma
Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization. ASPLOS (1) (2024)
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. HPCA (2024)
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 (2023)
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)
Guiming Shi, Zhanhong Tan, Dapeng Cao, Jingwei Cai, Wuke Zhang, Yifu Wu, Kaisheng Ma
A 28nm 68MOPS 0.18\mu\mathrm{J}/\text{Op}$ Paillier Homomorphic Encryption Processor with Bit-Serial Sparse Ciphertext Computing. ISSCC (2023)
Guiming Shi, Yi Li, Xueqiang Wang, Zhanhong Tan, Dapeng Cao, Jingwei Cai, Yuchen Wei, Zehua Li, Wuke Zhang, Yifu Wu, Wei Xu, Kaisheng Ma
PHEP: Paillier Homomorphic Encryption Processors for Privacy-Preserving Applications in Cloud Computing. HCS (2023)
Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. ICML (2022)
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. DAC (2022)
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 (2022)
Zhanhong Tan, Hongyu Cai, Runpei Dong, Kaisheng Ma
NN-Baton: DNN Workload Orchestration and Chiplet Granularity Exploration for Multichip Accelerators. ISCA (2021)
Zhanhong Tan, Sia Huat Tan, Jan-Henrik Lambrechts, Yannian Zhang, Yifu Wu, Kaisheng Ma
/W High-PerformanceGuaranteed Efficiency in 55nm for Multi-Mode Pruning and Diverse Quantization Using Pattern-Kernel Encoding and Reconfigurable MAC Units. CICC (2021)
Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. CoRR (2021)
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 (2020)
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)
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)
Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. CoRR (2019)