Jinming Lu - RankMe

32 papers C 2Journal 20Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression. EACL (Findings) Jiayi Tian, Ryan Solgi, Jinming Lu, Yifan Yang, Hai Li, Zheng Zhang
2026	J	`jnl`	Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jiayi Tian, Jinming Lu, Hai Li, Xiangwei Wang, Cong Callie Hao, Ian A. Young, Zheng Zhang
2026	J	`jnl`	WiFlow: A Precision-Scalable DNN Training Accelerator Through Winograd Algorithm and Dataflow Co-Design. IEEE Trans. Circuits Syst. I Regul. Pap. Hui Wang, Jinming Lu, Rui Ding, Weize Ma, Zhongfeng Wang, Jun Lin
2025	J	`jnl`	A DeepSeek-powered locally deployed closed-loop system for enhancing quality control in electronic nursing documentation: development and clinical validation. J. Am. Medical Informatics Assoc. Jinhong Lv, Yangyang Xu, Mengzhu Jiang, Yuanhao Lv, Jialu Sun, Jinming Lu, Lina Wang, Hongru Wang
2025	C	`conf`	CDM-QTA: Quantized Training Acceleration for Efficient LoRA Fine-Tuning of Diffusion Model. ISCAS Jinming Lu, Minghao She, Wendong Mao, Zhongfeng Wang
2025	J	`jnl`	CDM-QTA: Quantized Training Acceleration for Efficient LoRA Fine-Tuning of Diffusion Model. CoRR Jinming Lu, Minghao She, Wendong Mao, Zhongfeng Wang
2025	J	`jnl`	Comprehensive Design Space Exploration for Tensorized Neural Network Hardware Accelerators. CoRR Jinsong Zhang, Minghe Li, Jiayi Tian, Jinming Lu, Zheng Zhang
2025	J	`jnl`	FETTA: Flexible and Efficient Hardware Accelerator for Tensorized Neural Network Training. CoRR Jinming Lu, Jiayi Tian, Hai Li, Ian A. Young, Zheng Zhang
2025	J	`jnl`	FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression. CoRR Jiayi Tian, Ryan Solgi, Jinming Lu, Yifan Yang, Hai Li, Zheng Zhang
2025	J	`jnl`	Tensor-Compressed and Fully-Quantized Training of Neural PDE Solvers. CoRR Jinming Lu, Jiayi Tian, Yequan Zhao, Hai Li, Zheng Zhang
2025	J	`jnl`	Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization. CoRR Jiayi Tian, Jinming Lu, Hai Li, Xiangwei Wang, Cong Hao, Ian A. Young, Zheng Zhang
2024	J	`jnl`	WinTA: An Efficient Reconfigurable CNN Training Accelerator With Decomposition Winograd. IEEE Trans. Circuits Syst. I Regul. Pap. Jinming Lu, Hui Wang, Jun Lin, Zhongfeng Wang
2023	J	`jnl`	An Efficient Training Accelerator for Transformers With Hardware-Algorithm Co-Optimization. IEEE Trans. Very Large Scale Integr. Syst. Haikuo Shao, Jinming Lu, Meiqi Wang, Zhongfeng Wang
2023	—	`conf`	An FPGA-Based Reconfigurable CNN Training Accelerator Using Decomposable Winograd. ISVLSI Hui Wang, Jinming Lu, Jun Lin, Zhongfeng Wang
2023	J	`jnl`	Cathode Shape Design for Steady-State Electrochemical Machining. Algorithms Jinming Lu, Ewald A. Werner
2023	—	`conf`	Data Analysis for Machine Sound Detection: Challenges, Methods, and Future Trends. CISP-BMEI Mingming Zhang, Liu Jie, Jinming Lu
2023	J	`jnl`	ETA: An Efficient Training Accelerator for DNNs Based on Hardware-Algorithm Co-Optimization. IEEE Trans. Neural Networks Learn. Syst. Jinming Lu, Chao Ni, Zhongfeng Wang
2022	—	`conf`	An Efficient CNN Training Accelerator Leveraging Transposable Block Sparsity. AICAS Mingyang Xu, Jinming Lu, Zhongfeng Wang, Jun Lin
2022	C	`conf`	An Efficient Hardware Architecture for DNN Training by Exploiting Triple Sparsity. ISCAS Jian Huang, Jinming Lu, Zhongfeng Wang
2022	J	`jnl`	THETA: A High-Efficiency Training Accelerator for DNNs With Triple-Side Sparsity Exploration. IEEE Trans. Very Large Scale Integr. Syst. Jinming Lu, Jian Huang, Zhongfeng Wang
2021	—	`conf`	A Reconfigurable Accelerator for Generative Adversarial Network Training Based on FPGA. ISVLSI Tongtong Yin, Wendong Mao, Jinming Lu, Zhongfeng Wang
2021	—	`conf`	An FPGA-Based Reconfigurable Accelerator for Low-Bit DNN Training. ISVLSI Haikuo Shao, Jinming Lu, Jun Lin, Zhongfeng Wang
2021	J	`jnl`	Evaluations on Deep Neural Networks Training Using Posit Number System. IEEE Trans. Computers Jinming Lu, Chao Fang, Mingyang Xu, Jun Lin, Zhongfeng Wang
2020	—	`conf`	A Reconfigurable DNN Training Accelerator on FPGA. SiPS Jinming Lu, Jun Lin, Zhongfeng Wang
2020	—	`conf`	LBFP: Logarithmic Block Floating Point Arithmetic for Deep Neural Networks. APCCAS Chao Ni, Jinming Lu, Jun Lin, Zhongfeng Wang
2019	J	`jnl`	A Hardware-Oriented and Memory-Efficient Method for CTC Decoding. IEEE Access Siyuan Lu, Jinming Lu, Jun Lin, Zhongfeng Wang
2019	J	`jnl`	A Hardware-Oriented and Memory-Efficient Method for CTC Decoding. CoRR Siyuan Lu, Jinming Lu, Jun Lin, Zhongfeng Wang
2019	—	`conf`	A Low-Latency and Low-Complexity Hardware Architecture for CTC Beam Search Decoding. SiPS Siyuan Lu, Jinming Lu, Jun Lin, Zhongfeng Wang, Li Du
2019	J	`jnl`	E-LSTM: An Efficient Hardware Architecture for Long Short-Term Memory. IEEE J. Emerg. Sel. Topics Circuits Syst. Meiqi Wang, Zhisheng Wang, Jinming Lu, Jun Lin, Zhongfeng Wang
2019	—	`conf`	Training Deep Neural Networks Using Posit Number System. SoCC Jinming Lu, Siyuan Lu, Zhisheng Wang, Chao Fang, Jun Lin, Zhongfeng Wang, Li Du
2019	J	`jnl`	Training Deep Neural Networks Using Posit Number System. CoRR Jinming Lu, Siyuan Lu, Zhisheng Wang, Chao Fang, Jun Lin, Zhongfeng Wang, Li Du
2018	J	`jnl`	Quantitative Prediction of 3-D Multiple Parameters of Tectonic Fractures in Tight Sandstone Reservoirs Based on Geomechanical Method. IEEE Access Jianwei Feng, Junsheng Dai, Jinming Lu, Xizhe Li