A 28nm 38-to-102-TOPS/W 8b Multiply-Less Approximate Digital SRAM Compute-In-Memory Macro for Neural-Network Inference. - Yifan He 003; Haikang Diao; Chen Tang; Wenbin Jia; Xiyuan Tang; Yuan Wang 001; Jinshan Yue; Xueqing Li 002; Huazhong Yang; Hongyang Jia; Yongpan Liu (ISSCC, 2023)

A Weight-Reload-Eliminated Compute-in-Memory Accelerator for 60 fps 4K Super-Resolution. - Yaolei Li; Jinshan Yue; Jingyu Wang 004; Chen Tang; Yifan He 003; Wenbin Jia; Kaiwei Zou; Lu Zhang; Huazhong Yang; Yongpan Liu (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

34.7 A 28nm 2.4Mb/mm2 6.9 - 16.3TOPS/mm2 eDRAM-LUT-Based Digital-Computing-in-Memory Macro with In-Memory Encoding and Refreshing. - Yifan He 003; Shupei Fan; Xuan Li; Luchang Lei; Wenbin Jia; Chen Tang; Yaolei Li; Zongle Huang; Zhike Du; Jinshan Yue; Xueqing Li 002; Huazhong Yang; et al. (ISSCC, 2024)

A Heterogeneous Microprocessor for Intermittent AI Inference Using Nonvolatile-SRAM-Based Compute-In-Memory. - Tongda Wu; Luchang Lei; Yifan He 003; Wenbin Jia; Songming Yu; Yuxuan Huang; Hongyang Jia; Huazhong Yang; Yongpan Liu (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

Pro-Cache-CIM: A 28nm 69.4TOPS/W Product-Cache-based Digital-Compute-in-Memory Macro Leveraging Data Locality Pattern in Vision AI Tasks. - Wenbin Jia; Yifan He 003; Xiang Li; Yixuan Xie; Zongle Huang; Wenxun Wang; Boju Chen; Yaolei Li; Jinshan Yue; Xueqing Li 002; Huazhong Yang; Hongyang Jia; et al. (CICC, 2025)

A 28nm 3.14 TFLOP/W BF16 LLM Fine-Tuning Processor with Asymmetric Quantization Computing for AI PC. - Xinyuan Lin; Leran Huang; Chenhan Wei; Wenbin Jia; Hedi Wang; Wenxun Wang; Hongyang Jia; Huazhong Yang; Yongpan Liu (CICC, 2025)

A Multiply-Less Approximate SRAM Compute-In-Memory Macro for Neural-Network Inference. - Haikang Diao; Yifan He 003; Xuan Li; Chen Tang; Wenbin Jia; Jinshan Yue; Haoyang Luo; Jiahao Song; Xueqing Li 002; Huazhong Yang; Hongyang Jia; Yongpan Liu; et al. (IEEE J. Solid State Circuits, 2025)