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Publication search results
found 29 matches
- 2024
- Zhanhong Tan, Zijian Zhu, Kaisheng Ma:
Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization. ASPLOS (1) 2024: 69-84 - 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: 156-171 - Zhanhong Tan, Zijian Zhu, Kaisheng Ma:
Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization. CoRR abs/2402.00629 (2024) - 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: 1-20 - 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 - 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: 242-243 - 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
- Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
MDPGT: Momentum-Based Decentralized Policy Gradient Tracking. AAAI 2022: 9377-9385 - 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: 1093-1098 - Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma:
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. ICML 2022: 5343-5359 - 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
- 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 - Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar:
Decentralized Deep Learning Using Momentum-Accelerated Consensus. ICASSP 2021: 3675-3679 - Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar:
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation. ICASSP 2021: 3560-3564 - Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar:
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data. ICML 2021: 3036-3046 - Zhanhong Tan, Hongyu Cai, Runpei Dong, Kaisheng Ma:
NN-Baton: DNN Workload Orchestration and Chiplet Granularity Exploration for Multichip Accelerators. ISCA 2021: 1013-1026 - Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar:
Cross-Gradient Aggregation for Decentralized Learning from Non-IID data. CoRR abs/2103.02051 (2021) - Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
MDPGT: Momentum-based Decentralized Policy Gradient Tracking. CoRR abs/2112.02813 (2021) - 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
- 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 - Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Soumik Sarkar:
Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems. DDDAS 2020: 93-101 - 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) - Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar:
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation. CoRR abs/2008.04882 (2020) - Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hegde, Young M. Lee, Soumik Sarkar:
Decentralized Deep Learning using Momentum-Accelerated Consensus. CoRR abs/2010.11166 (2020) - 2019
- 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 - 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) - Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M. Lee, Chinmay Hegde, Soumik Sarkar:
On Higher-order Moments in Adam. CoRR abs/1910.06878 (2019) - 2011
- Jian Yao, Zhihua Cui, Zhanhong Wei, Ying Tan:
Hybrid group search optimiser with quadratic interpolation method and its application. Int. J. Wirel. Mob. Comput. 5(1): 98-106 (2011) - 2010
- Zhanhong Tang, Shutian Yan:
A Mesh Simplification Algorithm Based on Curvature Factor of Collapsing Edge. DBTA 2010: 1-3
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