Weifeng Zhang - RankMe

27 papers A* 5A 4B 2C 2Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Arena: Efficiently Training Large Models via Dynamic Scheduling and Adaptive Parallelism Co-Design. EuroSys Chunyu Xue, Weihao Cui, Quan Chen, Chen Chen, Han Zhao, Shulai Zhang, Linmei Wang, Yan Li, Limin Xiao, Weifeng Zhang, Jing Yang, Bingsheng He, Minyi Guo
2025	—	`conf`	Boosting Deep Vector Quantization with Progressive Distribution Transformation. KDD (2) Weikang Wang, Xin Zhou, Jun Liu, Weifeng Zhang, Huan Yan
2025	A*	`conf`	PICK: An SRAM-based Processing-in-Memory Accelerator for K-Nearest-Neighbor Search in Point Clouds. DAC Chen Nie, Chao Jiang, Liming Xiao, Weifeng Zhang, Zhezhi He
2024	J	`jnl`	A Classical Architecture for Digital Quantum Computers. ACM Trans. Quantum Comput. Fang Zhang, Xing Zhu, Rui Chao, Cupjin Huang, Linghang Kong, Guoyang Chen, Dawei Ding, Haishan Feng, Yihuai Gao, Xiaotong Ni, Liwei Qiu, Zhe Wei, Yueming Yang, Yang Zhao, Yaoyun Shi, Weifeng Zhang, Peng Zhou, Jianxin Chen
2024	J	`jnl`	VSPIM: SRAM Processing-in-Memory DNN Acceleration via Vector-Scalar Operations. IEEE Trans. Computers Chen Nie, Chenyu Tang, Jie Lin, Huan Hu, Chenyang Lv, Ting Cao, Weifeng Zhang, Li Jiang, Xiaoyao Liang, Weikang Qian, Yanan Sun, Zhezhi He
2023	J	`jnl`	A Classical Architecture For Digital Quantum Computers. CoRR Fang Zhang, Xing Zhu, Rui Chao, Cupjin Huang, Linghang Kong, Guoyang Chen, Dawei Ding, Haishan Feng, Yihuai Gao, Xiaotong Ni, Liwei Qiu, Zhe Wei, Yueming Yang, Yang Zhao, Yaoyun Shi, Weifeng Zhang, Peng Zhou, Jianxin Chen
2023	C	`conf`	GIM: Versatile GNN Acceleration with Reconfigurable Processing-in-Memory. ICCD Chen Nie, Guoyang Chen, Weifeng Zhang, Zhezhi He
2022	A	`conf`	N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores. FPGA Yu Gong, Zhihan Xu, Zhezhi He, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, Li Jiang
2022	J	`jnl`	Towards Execution-Efficient LSTMs via Hardware-Guided Grow-and-Prune Paradigm. IEEE Trans. Emerg. Top. Comput. Hongxu Yin, Guoyang Chen, Yingmin Li, Shuai Che, Weifeng Zhang, Niraj K. Jha
2021	B	`conf`	EGEMM-TC: accelerating scientific computing on tensor cores with extended precision. PPoPP Boyuan Feng, Yuke Wang, Guoyang Chen, Weifeng Zhang, Yuan Xie, Yufei Ding
2021	A	`conf`	Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators. ICS Xin He, Jiawen Liu, Zhen Xie, Hao Chen, Guoyang Chen, Weifeng Zhang, Dong Li
2021	J	`jnl`	N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores. CoRR Yu Gong, Zhihan Xu, Zhezhi He, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, Li Jiang
2021	B	`conf`	PIM-DL: Boosting DNN Inference on Digital Processing In-Memory Architectures via Data Layout Optimizations. PACT Minxuan Zhou, Guoyang Chen, Mohsen Imani, Saransh Gupta, Weifeng Zhang, Tajana Rosing
2021	A*	`conf`	Simple Augmentation Goes a Long Way: ADRL for DNN Quantization. ICLR Lin Ning, Guoyang Chen, Weifeng Zhang, Xipeng Shen
2021	J	`jnl`	Software-Defined Design Space Exploration for an Efficient DNN Accelerator Architecture. IEEE Trans. Computers Ye Yu, Yingmin Li, Shuai Che, Niraj K. Jha, Weifeng Zhang
2020	A*	`conf`	Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness. AAAI Huijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning
2020	J	`jnl`	Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness. CoRR Huijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning
2020	A*	`conf`	iPIM: Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture. ISCA Peng Gu, Xinfeng Xie, Yufei Ding, Guoyang Chen, Weifeng Zhang, Dimin Niu, Yuan Xie
2019	J	`jnl`	Energy-Efficient and Quality-Assured Approximate Computing Framework Using a Co-Training Method. ACM Trans. Design Autom. Electr. Syst. Li Jiang, Zhuoran Song, Haiyue Song, Chengwen Xu, Qiang Xu, Naifeng Jing, Weifeng Zhang, Xiaoyao Liang
2019	J	`jnl`	Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM. CoRR Hongxu Yin, Guoyang Chen, Yingmin Li, Shuai Che, Weifeng Zhang, Niraj K. Jha
2019	—	`conf`	Parallel Training via Computation Graph Transformation. IEEE BigData Fei Wang, Guoyang Chen, Weifeng Zhang, Tiark Rompf
2019	J	`jnl`	Sionnx: Automatic Unit Test Generator for ONNX Conformance. CoRR Xinli Cai, Peng Zhou, Shuhan Ding, Guoyang Chen, Weifeng Zhang
2019	J	`jnl`	Software-Defined Design Space Exploration for an Efficient AI Accelerator Architecture. CoRR Ye Yu, Yingmin Li, Shuai Che, Niraj K. Jha, Weifeng Zhang
2007	A*	`conf`	Accelerating and Adapting Precomputation Threads for Effcient Prefetching. HPCA Weifeng Zhang, Dean M. Tullsen, Brad Calder
2006	A	`conf`	A Self-Repairing Prefetcher in an Event-Driven Dynamic Optimization Framework. CGO Weifeng Zhang, Brad Calder, Dean M. Tullsen
2006	C	`conf`	Speculative Code Value Specialization Using the Trace Cache Fill Unit. ICCD Weifeng Zhang, Brad Calder, Dean M. Tullsen, Steve Checkoway
2005	—	`conf`	An Event-Driven Multithreaded Dynamic Optimization Framework. IEEE PACT Weifeng Zhang, Brad Calder, Dean M. Tullsen