Constraint-based clustering by fast search and find of density peaks. - Ruhui Liu; Weiping Huang; Zhengshun Fei; Kai Wang; Jun Liang 003 (Neurocomputing, 2019)

A Two-way SRAM Array based Accelerator for Deep Neural Network On-chip Training. - Hongwu Jiang; Shanshi Huang; Xiaochen Peng; Jian-Wei Su; Yen-Chi Chou; Wei-Hsing Huang; Ta-Wei Liu; Ruhui Liu; Meng-Fan Chang; Shimeng Yu (DAC, 2020)

15.5 A 28nm 64Kb 6T SRAM Computing-in-Memory Macro with 8b MAC Operation for AI Edge Chips. - Xin Si; Yung-Ning Tu; Wei-Hsing Huang; Jian-Wei Su; Pei-Jung Lu; Jing-Hong Wang; Ta-Wei Liu; Ssu-Yen Wu; Ruhui Liu; Yen-Chi Chou; Zhixiao Zhang; Syuan-Hao Sie; et al. (ISSCC, 2020)

15.2 A 28nm 64Kb Inference-Training Two-Way Transpose Multibit 6T SRAM Compute-in-Memory Macro for AI Edge Chips. - Jian-Wei Su; Xin Si; Yen-Chi Chou; Ting-Wei Chang; Wei-Hsing Huang; Yung-Ning Tu; Ruhui Liu; Pei-Jung Lu; Ta-Wei Liu; Jing-Hong Wang; Zhixiao Zhang; Hongwu Jiang; et al. (ISSCC, 2020)

14.3 A 65nm Computing-in-Memory-Based CNN Processor with 2.9-to-35.8TOPS/W System Energy Efficiency Using Dynamic-Sparsity Performance-Scaling Architecture and Energy-Efficient Inter/Intra-Macro Data Reuse. - Jinshan Yue; Zhe Yuan; Xiaoyu Feng; Yifan He 003; Zhixiao Zhang; Xin Si; Ruhui Liu; Meng-Fan Chang; Xueqing Li 002; Huazhong Yang; Yongpan Liu (ISSCC, 2020)

A 4-Kb 1-to-8-bit Configurable 6T SRAM-Based Computation-in-Memory Unit-Macro for CNN-Based AI Edge Processors. - Yen-Cheng Chiu; Zhixiao Zhang; Jia-Jing Chen; Xin Si; Ruhui Liu; Yung-Ning Tu; Jian-Wei Su; Wei-Hsing Huang; Jing-Hong Wang; Wei-Chen Wei; Je-Min Hung; Shyh-Shyuan Sheu; et al. (IEEE J. Solid State Circuits, 2020)

16.3 A 28nm 384kb 6T-SRAM Computation-in-Memory Macro with 8b Precision for AI Edge Chips. - Jian-Wei Su; Yen-Chi Chou; Ruhui Liu; Ta-Wei Liu; Pei-Jung Lu; Ping-Chun Wu; Yen-Lin Chung; Li-Yang Hung; Jin-Sheng Ren; Tianlong Pan; Sih-Han Li; Shih-Chieh Chang; et al. (ISSCC, 2021)

A 6.54-to-26.03 TOPS/W Computing-In-Memory RNN Processor using Input Similarity Optimization and Attention-based Context-breaking with Output Speculation. - Ruiqi Guo; Hao Li; Ruhui Liu; Zhixiao Zhang; Limei Tang; Hao Sun; Leibo Liu; Meng-Fan Chang; Shaojun Wei; Shouyi Yin (VLSI Circuits, 2021)

A Local Computing Cell and 6T SRAM-Based Computing-in-Memory Macro With 8-b MAC Operation for Edge AI Chips. - Xin Si; Yung-Ning Tu; Wei-Hsing Huang; Jian-Wei Su; Pei-Jung Lu; Jing-Hong Wang; Ta-Wei Liu; Ssu-Yen Wu; Ruhui Liu; Yen-Chi Chou; Yen-Lin Chung; William Shih; et al. (IEEE J. Solid State Circuits, 2021)

Two-Way Transpose Multibit 6T SRAM Computing-in-Memory Macro for Inference-Training AI Edge Chips. - Jian-Wei Su; Xin Si; Yen-Chi Chou; Ting-Wei Chang; Wei-Hsing Huang; Yung-Ning Tu; Ruhui Liu; Pei-Jung Lu; Ta-Wei Liu; Jing-Hong Wang; Yen-Lin Chung; Jin-Sheng Ren; et al. (IEEE J. Solid State Circuits, 2022)

STICKER-IM: A 65 nm Computing-in-Memory NN Processor Using Block-Wise Sparsity Optimization and Inter/Intra-Macro Data Reuse. - Jinshan Yue; Yongpan Liu; Zhe Yuan; Xiaoyu Feng; Yifan He 002; Wenyu Sun; Zhixiao Zhang; Xin Si; Ruhui Liu; Zi Wang; Meng-Fan Chang; Chunmeng Dou; et al. (IEEE J. Solid State Circuits, 2022)

A 8-b-Precision 6T SRAM Computing-in-Memory Macro Using Segmented-Bitline Charge-Sharing Scheme for AI Edge Chips. - Jian-Wei Su; Yen-Chi Chou; Ruhui Liu; Ta-Wei Liu; Pei-Jung Lu; Ping-Chun Wu; Yen-Lin Chung; Li-Yang Hong; Jin-Sheng Ren; Tianlong Pan; Chuan-Jia Jhang; Wei-Hsing Huang; et al. (IEEE J. Solid State Circuits, 2023)