Runhua Zhang - RankMe

13 papers A 1B 2C 1Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LSAF: A load-balancing SpGEMM acceleration framework with dynamic package and static partition for multi-core systolic arrays. Parallel Comput. Yongxiang Cao, Hongxu Jiang, Guocheng Zhao, Dongcheng Shi, Runhua Zhang, Wei Wang
2025	J	`jnl`	FlexPie: Accelerate Distributed Inference on Edge Devices with Flexible Combinatorial Optimization[Technical Report]. CoRR Runhua Zhang, Hongxu Jiang, Jinkun Geng, Yuhang Ma, Chenhui Zhu, Haojie Wang
2025	B	`conf`	JOVS: Joint Optimization of Vectorization and Scheduling for DNN on AI DSPs. SPAA Yaochen Han, Hongxu Jiang, Runhua Zhang, Rui She
2025	A	`conf`	SparDR: Accelerating Unstructured Sparse DNN Inference via Dataflow Optimization. DATE Wei Wang, Hongxu Jiang, Runhua Zhang, Yongxiang Cao, Yaochen Han
2024	J	`jnl`	A high-performance dataflow-centric optimization framework for deep learning inference on the edge. J. Syst. Archit. Runhua Zhang, Hongxu Jiang, Jinkun Geng, Fangzheng Tian, Yuhang Ma, Haojie Wang
2023	J	`jnl`	LOCP: Latency-optimized channel pruning for CNN inference acceleration on GPUs. J. Supercomput. Yonghua Zhang, Hongxu Jiang, Yuting Zhu, Runhua Zhang, Yongxiang Cao, Chenhui Zhu, Wei Wang, Dong Dong, Xiaobin Li
2023	—	`conf`	Xenos : Dataflow-Centric Optimization to Accelerate Model Inference on Edge Devices. DASFAA (1) Runhua Zhang, Hongxu Jiang, Fangzheng Tian, Jinkun Geng, Xiaobin Li, Yuhang Ma, Chenhui Zhu, Dong Dong, Xin Li, Haojie Wang
2023	J	`jnl`	Xenos: Dataflow-Centric Optimization to Accelerate Model Inference on Edge Devices. CoRR Runhua Zhang, Hongxu Jiang, Fangzheng Tian, Jinkun Geng, Xiaobin Li, Yuhang Ma, Chenhui Zhu, Dong Dong, Xin Li, Haojie Wang
2022	—	`conf`	CNNBooster: Accelerating CNN Inference with Latency-aware Channel Pruning for GPU. ISPA/BDCloud/SocialCom/SustainCom Yuting Zhu, Hongxu Jiang, Runhua Zhang, Yonghua Zhang, Dong Dong
2021	J	`jnl`	Robustness-aware 2-bit quantization with real-time performance for neural network. Neurocomputing Xiaobin Li, Hongxu Jiang, Runhua Zhang, Fangzheng Tian, Shuangxi Huang, Donghuan Xu
2021	B	`conf`	SRQ: Self-Reference quantization scheme for lightweight neural network. DCC Xiaobin Li, Hongxu Jiang, Shuangxi Huang, Fangzheng Tian, Runhua Zhang, Dong Dong
2020	—	`conf`	DSANA: A distributed machine learning acceleration solution based on dynamic scheduling and network acceleration. HPCC/DSS/SmartCity Runhua Zhang, Guowei Shen, Liangyi Gong, Chun Guo
2019	C	`conf`	HiPower: A High-Performance RDMA Acceleration Solution for Distributed Transaction Processing. NPC Runhua Zhang, Yang Cheng, Jinkun Geng, Shuai Wang, Kaihui Gao, Guowei Shen