Zhanhong Tan - RankMe

19 papers A* 6A 1Journal 7Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ES-dLLM: Efficient Inference for Diffusion Large Language Models by Early-Skipping. CoRR Zijian Zhu, Fei Ren, Zhanhong Tan, Kaisheng Ma
2024	—	`conf`	Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization. ASPLOS (1) Zhanhong Tan, Zijian Zhu, Kaisheng Ma
2024	J	`jnl`	Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization. CoRR Zhanhong Tan, Zijian Zhu, Kaisheng Ma
2024	A*	`conf`	Gemini: Mapping and Architecture Co-exploration for Large-scale DNN Chiplet Accelerators. HPCA Jingwei Cai, Zuotong Wu, Sen Peng, Yuchen Wei, Zhanhong Tan, Guiming Shi, Mingyu Gao, Kaisheng Ma
2024	A	`conf`	LACO: A Latency-Constraint Offline Neural Network Scheduler towards Reliable Self-Driving Perception. ICCAD Kaisheng Ma, Zhanhong Tan, Zijian Zhu, Mengdi Wu
2023	—	`conf`	A 28nm 68MOPS 0.18\mu\mathrm{J}/\text{Op}$ Paillier Homomorphic Encryption Processor with Bit-Serial Sparse Ciphertext Computing. ISSCC Guiming Shi, Zhanhong Tan, Dapeng Cao, Jingwei Cai, Wuke Zhang, Yifu Wu, Kaisheng Ma
2023	—	`conf`	A Scalable Multi-Chiplet Deep Learning Accelerator with Hub-Side 2.5D Heterogeneous Integration. HCS Zhanhong Tan, Yifu Wu, Yannian Zhang, Haobing Shi, Wuke Zhang, Kaisheng Ma
2023	J	`jnl`	Gemini: Mapping and Architecture Co-exploration for Large-scale DNN Chiplet Accelerators. CoRR Jingwei Cai, Zuotong Wu, Sen Peng, Yuchen Wei, Zhanhong Tan, Guiming Shi, Mingyu Gao, Kaisheng Ma
2023	—	`conf`	PHEP: Paillier Homomorphic Encryption Processors for Privacy-Preserving Applications in Cloud Computing. HCS Guiming Shi, Yi Li, Xueqiang Wang, Zhanhong Tan, Dapeng Cao, Jingwei Cai, Yuchen Wei, Zehua Li, Wuke Zhang, Yifu Wu, Wei Xu, Kaisheng Ma
2022	A*	`conf`	Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. ICML Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma
2022	J	`jnl`	YOLoC: DeploY Large-Scale Neural Network by ROM-based Computing-in-Memory using ResiduaL Branch on a Chip. CoRR Yiming Chen, Guodong Yin, Zhanhong Tan, Mingyen Lee, Zekun Yang, Yongpan Liu, Huazhong Yang, Kaisheng Ma, Xueqing Li
2022	A*	`conf`	YOLoC: deploy large-scale neural network by ROM-based computing-in-memory using residual branch on a chip. DAC Yiming Chen, Guodong Yin, Zhanhong Tan, Mingyen Lee, Zekun Yang, Yongpan Liu, Huazhong Yang, Kaisheng Ma, Xueqing Li
2021	—	`conf`	A 400MHz NPU with 7.8TOPS CICC Zhanhong Tan, Sia Huat Tan, Jan-Henrik Lambrechts, Yannian Zhang, Yifu Wu, Kaisheng Ma
2021	J	`jnl`	Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. CoRR Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma
2021	A*	`conf`	NN-Baton: DNN Workload Orchestration and Chiplet Granularity Exploration for Multichip Accelerators. ISCA Zhanhong Tan, Hongyu Cai, Runpei Dong, Kaisheng Ma
2020	A*	`conf`	PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators. DAC Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma
2020	J	`jnl`	PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators. CoRR Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma
2019	A*	`conf`	SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. NeurIPS Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma
2019	J	`jnl`	SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. CoRR Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma