SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. - Linfeng Zhang 001; Zhanhong Tan; Jiebo Song; Jingwei Chen; Chenglong Bao; Kaisheng Ma (NeurIPS, 2019)

PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators. - Zhanhong Tan; Jiebo Song; Xiaolong Ma; Sia Huat Tan; Hongyang Chen; Yuanqing Miao; Yifu Wu; Shaokai Ye; Yanzhi Wang; Dehui Li; Kaisheng Ma (DAC, 2020)

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. - Zhanhong Tan; Sia Huat Tan; Jan-Henrik Lambrechts; Yannian Zhang; Yifu Wu; Kaisheng Ma (CICC, 2021)

NN-Baton: DNN Workload Orchestration and Chiplet Granularity Exploration for Multichip Accelerators. - Zhanhong Tan; Hongyu Cai; Runpei Dong; Kaisheng Ma (ISCA, 2021)

YOLoC: deploy large-scale neural network by ROM-based computing-in-memory using residual branch on a chip. - Yiming Chen; Guodong Yin; Zhanhong Tan; Mingyen Lee; Zekun Yang; Yongpan Liu; Huazhong Yang; Kaisheng Ma; Xueqing Li 002 (DAC, 2022)

Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. - Runpei Dong; Zhanhong Tan; Mengdi Wu; Linfeng Zhang 001; Kaisheng Ma (ICML, 2022)

PHEP: Paillier Homomorphic Encryption Processors for Privacy-Preserving Applications in Cloud Computing. - Guiming Shi; Yi Li; Xueqiang Wang; Zhanhong Tan; Dapeng Cao; Jingwei Cai; Yuchen Wei; Zehua Li; Wuke Zhang; Yifu Wu; Wei Xu; Kaisheng Ma (HCS, 2023)

A Scalable Multi-Chiplet Deep Learning Accelerator with Hub-Side 2.5D Heterogeneous Integration. - Zhanhong Tan; Yifu Wu; Yannian Zhang; Haobing Shi; Wuke Zhang; Kaisheng Ma (HCS, 2023)

A 28nm 68MOPS 0.18 mu mathrm{J}/ text{Op}$ Paillier Homomorphic Encryption Processor with Bit-Serial Sparse Ciphertext Computing. - Guiming Shi; Zhanhong Tan; Dapeng Cao; Jingwei Cai; Wuke Zhang; Yifu Wu; Kaisheng Ma (ISSCC, 2023)

Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization. - Zhanhong Tan; Zijian Zhu; Kaisheng Ma (ASPLOS (1), 2024)

Gemini: Mapping and Architecture Co-exploration for Large-scale DNN Chiplet Accelerators. - Jingwei Cai; Zuotong Wu; Sen Peng; Yuchen Wei; Zhanhong Tan; Guiming Shi; Mingyu Gao 001; Kaisheng Ma (HPCA, 2024)

LACO: A Latency-Constraint Offline Neural Network Scheduler towards Reliable Self-Driving Perception. - Kaisheng Ma; Zhanhong Tan; Zijian Zhu; Mengdi Wu (ICCAD, 2024)