An energy harvesting nonvolatile sensor node and its application to distributed moving object detection. - Yongpan Liu; Yiqun Wang; Hongyang Jia; Shan Su; Jinghuan Wen; Wenzhu Zhang; Lin Zhang 001; Huazhong Yang (IPSN, 2012)

Personalizing Statistical Models for Asthma Prognosis and Therapeutics. - Hongyang Jia; Patricia F. Brennan; Shiyu Zhou; Junbo Son; Yu-Ting Hung (AMIA, 2014)

Register allocation for hybrid register architecture in nonvolatile processors. - Yiqun Wang; Hongyang Jia; Yongpan Liu; Qing'an Li; Chun Jason Xue; Huazhong Yang (ISCAS, 2014)

Artificial intelligence meets large-scale sensing: Using Large-Area Electronics (LAE) to enable intelligent spaces. - Murat Ozatay; Levent E. Aygun; Hongyang Jia; Prakhar Kumar; Yoni Mehlman; Can Wu; Sigurd Wagner; James C. Sturm; Naveen Verma (CICC, 2018)

A Microprocessor implemented in 65nm CMOS with Configurable and Bit-scalable Accelerator for Programmable In-memory Computing. - Hongyang Jia; Yinqi Tang; Hossein Valavi; Jintao Zhang; Naveen Verma (CoRR, 2018)

Exploiting Approximate Feature Extraction via Genetic Programming for Hardware Acceleration in a Heterogeneous Microprocessor. - Hongyang Jia; Naveen Verma (IEEE J. Solid State Circuits, 2018)

Genetic Programming for Energy-Efficient and Energy-Scalable Approximate Feature Computation in Embedded Inference Systems. - Jie Lu; Hongyang Jia; Naveen Verma; Niraj K. Jha (IEEE Trans. Computers, 2018)

A Programmable Embedded Microprocessor for Bit-scalable In-memory Computing. - Hongyang Jia; Hossein Valavi; Yinqi Tang; Jintao Zhang; Naveen Verma (Hot Chips Symposium, 2019)

A Programmable Heterogeneous Microprocessor Based on Bit-Scalable In-Memory Computing. - Hongyang Jia; Hossein Valavi; Yinqi Tang; Jintao Zhang; Naveen Verma (IEEE J. Solid State Circuits, 2020)

Reducing Energy of Approximate Feature Extraction in Heterogeneous Architectures for Sensor Inference via Energy-Aware Genetic Programming. - Yinqi Tang; Hongyang Jia; Naveen Verma (IEEE Trans. Circuits Syst. I Fundam. Theory Appl., 2020)

A Programmable Neural-Network Inference Accelerator Based on Scalable In-Memory Computing. - Hongyang Jia; Murat Ozatay; Yinqi Tang; Hossein Valavi; Rakshit Pathak; Jinseok Lee; Naveen Verma (ISSCC, 2021)

Designing Computing Systems Based on Unconventional Technologies for Hardware Acceleration - Hongyang Jia (2021)

Scalable and Programmable Neural Network Inference Accelerator Based on In-Memory Computing. - Hongyang Jia; Murat Ozatay; Yinqi Tang; Hossein Valavi; Rakshit Pathak; Jinseok Lee; Naveen Verma (IEEE J. Solid State Circuits, 2022)

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)

An RRAM-Based Digital Computing-in-Memory Macro With Dynamic Voltage Sense Amplifier and Sparse-Aware Approximate Adder Tree. - Yifan He 003; Jinshan Yue; Xiaoyu Feng; Yuxuan Huang; Hongyang Jia; Jingyu Wang 004; Lu Zhang; Wenyu Sun; Huazhong Yang; Yongpan Liu (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Data-Driven Security and Stability Rule in High Renewable Penetrated Power System Operation. - Ning Zhang 008; Hongyang Jia; Qingchun Hou; Ziyang Zhang; Tian Xia; Xiao Cai; Jiaxin Wang (Proc. IEEE, 2023)

A Heterogeneous Microprocessor Based on All-Digital Compute-in-Memory for End-to-End AIoT Inference. - Songming Yu; Yifan He 003; Hongyang Jia; Wenyu Sun; Mufeng Zhou; Luchang Lei; Wentao Zhao; Guofu Ma; Huazhong Yang; Yongpan Liu (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

A Unified Microrobotic Visual-Perception Processor with 62.2-FPS/mm2 and 103-uJ/frame Navigation in 28nm. - Shuyuan Zhang; Yujin Wang; Yifan He 003; Yuchen Su; Huazhong Yang; Yongpan Liu; Hongyang Jia (A-SSCC, 2024)

A 28nm 8928Kb/mm2-Weight-Density Hybrid SRAM/ROM Compute-in-Memory Architecture Reducing >95% Weight Loading from DRAM. - Guodong Yin; Yiming Chen; Mingyen Lee; Xirui Du; Yue Ke; Wenjun Tang; Zhonghao Chen; Mufeng Zhou; Jinshan Yue; Huazhong Yang; Hongyang Jia; Yongpan Liu; et al. (CICC, 2024)

Invited: Automatic Hardware/Software Design for High-Speed Autonomous Unmanned Aerial Vehicles Guided by a Flight Model. - Yuanfan Xu; Jincheng Yu; Suquan Zhang; Yunfei Xiang; Hongyang Jia; Yu Wang 002 (DAC, 2024)

ESC-NTT: An Elastic, Seamless and Compact Architecture for Multi-Parameter NTT Acceleration. - Zhenyu Guan; Yongqing Zhu; Yicheng Huang; Luchang Lei; Xueyan Wang; Hongyang Jia; Yi Chen; Bo Zhang; Jin Dong; Song Bian 001 (DATE, 2024)

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)

Exploring Approximation and Dataflow Co-Optimization for Scalable Transformer Inference Architecture on the Edge. - Liu He; Yujin Wang; Zongle Huang; Shupei Fan; Chen Tang; Shuyuan Zhang; Luchang Lei; Huazhong Yang; Yongpan Liu; Hongyang Jia (SOCC, 2024)

A 28nm 4.35TOPS/mm2 Transformer Accelerator with Basis-vector Based Ultra Storage Compression, Decomposed Computation and Unified LUT-Assisted Cores. - Chen Tang; Xinyuan Lin; Zongle Huang; Wenyu Sun; Hongyang Jia; Yongpan Liu (VLSI Technology and Circuits, 2024)

Cramming More Weight Data Onto Compute-in-Memory Macros for High Task-Level Energy Efficiency Using Custom ROM With 3984-kb/mm2 Density in 65-nm CMOS. - Guodong Yin; Yiming Chen; Mufeng Zhou; Wenjun Tang; Mingyen Lee; Zekun Yang; Tianyu Liao; Xirui Du; Vijaykrishnan Narayanan; Huazhong Yang; Hongyang Jia; Yongpan Liu; et al. (IEEE J. Solid State Circuits, 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)

Enabling Energy-Efficient Homomorphic Encryption Evaluation via eDRAM-Based In-Situ Computing in an Edge Processor. - Luchang Lei; Yongqing Zhu; Xinhang Zou; Zhou Zhang 016; Zian Zhao; Yifan He 003; Gangfeng Du; Zhenyu Guan; Huazhong Yang; Yongpan Liu; Song Bian 001; Hongyang Jia (IEEE J. Solid State Circuits, 2025)

Guest Editorial TCAS-I Special Issue on the ESSERC 2024 Conference. - Georges G. E. Gielen; Jan Craninckx; Hongyang Jia (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)