Chen Zhang - RankMe

81 papers A* 24A 11B 4C 1Journal 34Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	AC-Refiner: Efficient Arithmetic Circuit Optimization Using Conditional Diffusion Models. ASP-DAC Chenhao Xue, Kezhi Li, Jiaxing Zhang, Yi Ren, Zhengyuan Shi, Chen Zhang, Yibo Lin, Lining Zhang, Qiang Xu, Guangyu Sun
2026	A*	`conf`	FlashFuser: Expanding the Scale of Kernel Fusion for Compute-Intensive Operators via Inter-Core Connection. HPCA Ziyu Huang, Yangjie Zhou, Zihan Liu, Xinhao Luo, Yijia Diao, Minyi Guo, Jidong Zhai, Yu Feng, Chen Zhang, Anbang Wu, Jingwen Leng
2026	—	`conf`	M ASPLOS (2) Weiming Hu, Zihan Zhang, Haoyan Zhang, Chen Zhang, Cong Guo, Yu Feng, Tianchi Hu, Guanglin Li, Guipeng Hu, Junsong Wang, Jingwen Leng
2026	J	`jnl`	M2XFP: A Metadata-Augmented Microscaling Data Format for Efficient Low-bit Quantization. CoRR Weiming Hu, Zihan Zhang, Haoyan Zhang, Chen Zhang, Cong Guo, Yu Feng, Tianchi Hu, Guanglin Li, Guipeng Hu, Junsong Wang, Jingwen Leng
2026	J	`jnl`	TOM: A Ternary Read-only Memory Accelerator for LLM-powered Edge Intelligence. CoRR Hongyi Guan, Yijia Zhang, Wenqiang Wang, Yizhao Gao, Shijie Cao, Chen Zhang, Ningyi Xu
2026	A*	`conf`	Towards Compute-Aware In-Switch Computing for LLMs Tensor-Parallelism on Multi-GPU Systems. HPCA Chen Zhang, Qijun Zhang, Zhuoshan Zhou, Yijia Diao, Haibo Wang, Zhe Zhou, Zhipeng Tu, Zhiyao Li, Guangyu Sun, Zhuoran Song, Zhigang Ji, Jingwen Leng, Minyi Guo
2025	J	`jnl`	AC-Refiner: Efficient Arithmetic Circuit Optimization Using Conditional Diffusion Models. CoRR Chenhao Xue, Kezhi Li, Jiaxing Zhang, Yi Ren, Zhengyuan Shi, Chen Zhang, Yibo Lin, Lining Zhang, Qiang Xu, Guangyu Sun
2025	J	`jnl`	Accelerating 3D Gaussian Splatting with Neural Sorting and Axis-Oriented Rasterization. CoRR Zhican Wang, Guanghui He, Dantong Liu, Lingjun Gao, Shell Xu Hu, Chen Zhang, Zhuoran Song, Nicholas D. Lane, Wayne Luk, Hongxiang Fan
2025	J	`jnl`	ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive. CoRR Xinhao Luo, Zihan Liu, Yangjie Zhou, Shihan Fang, Ziyu Huang, Yu Feng, Chen Zhang, Shixuan Sun, Zhenzhe Zheng, Jingwen Leng, Minyi Guo
2025	J	`jnl`	DOMAC: Differentiable Optimization for High-Speed Multipliers and Multiply-Accumulators. CoRR Chenhao Xue, Yi Ren, Jinwei Zhou, Kezhi Li, Chen Zhang, Yibo Lin, Lining Zhang, Qiang Xu, Guangyu Sun
2025	J	`jnl`	DSTC: Dual-Side Sparse Tensor Core for DNNs Acceleration on Modern GPU Architectures. IEEE Trans. Computers Chen Zhang, Yang Wang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng, Zhigang Ji, Yuan Xie, Ru Huang
2025	J	`jnl`	DWCLF-Net: A weighted contrastive learning feature fusion network for temporal scar image sequence classification. Biomed. Signal Process. Control. Anping Song, Chen Zhang, Xiaozhen Lou, Wendong Qi, Minyi Gu, Runzhi Huang, Shizhao Ji
2025	J	`jnl`	Data and System Perspectives of Sustainable Artificial Intelligence. CoRR Tao Xie, David Harel, Dezhi Ran, Zhenwen Li, Maoliang Li, Zhi Yang, Leye Wang, Xiang Chen, Ying Zhang, Wentao Zhang, Meng Li, Chen Zhang, Linyi Li, Assaf Marron
2025	J	`jnl`	DiffuSE: Cross-Layer Design Space Exploration of DNN Accelerator via Diffusion-Driven Optimization. CoRR Yi Ren, Chenhao Xue, Jiaxing Zhang, Chen Zhang, Qiang Xu, Yibo Lin, Lining Zhang, Guangyu Sun
2025	J	`jnl`	Fine-Grained Structured Sparse Computing for FPGA-Based AI Inference. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Chen Zhang, Shijie Cao, Guohao Dai, Chenbo Geng, Zhuliang Yao, Wencong Xiao, Yunxin Liu, Ming Wu, Lintao Zhang, Guangyu Sun, Zhigang Ji, Runsheng Wang, Ru Huang
2025	J	`jnl`	FlashFuser: Expanding the Scale of Kernel Fusion for Compute-Intensive Operators via Inter-Core Connection. CoRR Ziyu Huang, Yangjie Zhou, Zihan Liu, Xinhao Luo, Yijia Diao, Minyi Guo, Jidong Zhai, Yu Feng, Chen Zhang, Anbang Wu, Jingwen Leng
2025	B	`conf`	FlashTensor: Optimizing Tensor Programs by Leveraging Fine-grained Tensor Property. PPoPP Runxin Zhong, Yuyang Jin, Chen Zhang, Kinman Lei, Shuangyu Li, Jidong Zhai
2025	J	`jnl`	ForgeHLS: A Large-Scale, Open-Source Dataset for High-Level Synthesis. CoRR Zedong Peng, Zeju Li, Mingzhe Gao, Qiang Xu, Chen Zhang, Jieru Zhao
2025	A*	`conf`	H ISCA Cong Li, Yihan Yin, Xintong Wu, Jingchen Zhu, Zhutianya Gao, Dimin Niu, Qiang Wu, Xin Si, Yuan Xie, Chen Zhang, Guangyu Sun
2025	A	`conf`	IntelliGen: Instruction-Level Auto-tuning for Tensor Program with Monotonic Memory Optimization. CGO Zixuan Ma, Haojie Wang, Jingze Xing, Shuhong Huang, Liyan Zheng, Chen Zhang, Huanqi Cao, Kezhao Huang, Mingshu Zhai, Shizhi Tang, Penghan Wang, Jidong Zhai
2025	A*	`conf`	Jenga: Effective Memory Management for Serving LLM with Heterogeneity. SOSP Chen Zhang, Kuntai Du, Shu Liu, Woosuk Kwon, Xiangxi Mo, Yufeng Wang, Xiaoxuan Liu, Kaichao You, Zhuohan Li, Mingsheng Long, Jidong Zhai, Joseph Gonzalez, Ion Stoica
2025	J	`jnl`	Jenga: Effective Memory Management for Serving LLM with Heterogeneity. CoRR Chen Zhang, Kuntai Du, Shu Liu, Woosuk Kwon, Xiangxi Mo, Yufeng Wang, Xiaoxuan Liu, Kaichao You, Zhuohan Li, Mingsheng Long, Jidong Zhai, Joseph Gonzalez, Ion Stoica
2025	A*	`conf`	MHDiff: Memory- and Hardware-Efficient Diffusion Acceleration via Focal Pixel Aware Quantization. DAC Chunyu Qi, Xuhang Wang, Ruiyang Chen, Yuanzheng Yao, Naifeng Jing, Chen Zhang, Jun Wang, Zhihui Fu, Xiaoyao Liang, Zhuoran Song
2025	A*	`conf`	OutlierCIM: Outlier-Aware Digital CIM-Based LLM Accelerator with Hybrid-Strategy Quantization and Unified FP-INT Computation. DAC Zihan Zou, Shikuang Chen, Chen Zhang, Xing Wang, Zhichao Liu, Haoran Du, Xin Si, Hao Cai, Bo Liu
2025	A*	`conf`	PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications. SOSP Kuntai Du, Bowen Wang, Chen Zhang, Yiming Cheng, Qing Lan, Hejian Sang, Yihua Cheng, Jiayi Yao, Xiaoxuan Liu, Yifan Qiao, Ion Stoica, Junchen Jiang
2025	J	`jnl`	PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications. CoRR Kuntai Du, Bowen Wang, Chen Zhang, Yiming Cheng, Qing Lan, Hejian Sang, Yihua Cheng, Jiayi Yao, Xiaoxuan Liu, Yifan Qiao, Ion Stoica, Junchen Jiang
2025	J	`jnl`	Scaling Laws for Speculative Decoding. CoRR Siyuan Yan, Mo Zhu, Guo-qing Jiang, Jianfei Wang, Jiaxing Chen, Wentai Zhang, Xiang Liao, Xiao Cui, Chen Zhang, Zhuoran Song, Ran Zhu
2025	A*	`conf`	SynGPU: Synergizing CUDA and Bit-Serial Tensor Cores for Vision Transformer Acceleration on GPU. DAC Yuanzheng Yao, Chen Zhang, Chunyu Qi, Ruiyang Chen, Jun Wang, Zhihui Fu, Naifeng Jing, Xiaoyao Liang, Zhuoran Song
2025	A*	`conf`	TB-STC: Transposable Block-wise N: M Structured Sparse Tensor Core. HPCA Jun Liu, Shulin Zeng, Junbo Zhao, Li Ding, Zeyu Wang, Jinhao Li, Zhenhua Zhu, Xuefei Ning, Chen Zhang, Yu Wang, Guohao Dai
2025	J	`jnl`	Theseus: Exploring Efficient Wafer-Scale Chip Design for Large Language Models. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jingchen Zhu, Chenhao Xue, Yiqi Chen, Zhao Wang, Chen Zhang, Yu Shen, Yifan Chen, Zekang Cheng, Yu Jiang, Tianqi Wang, Yibo Lin, Wei Hu, Bin Cui, Runsheng Wang, Yun Liang, Guangyu Sun
2024	—	`conf`	Amanda: Unified Instrumentation Framework for Deep Neural Networks. ASPLOS (1) Yue Guan, Yuxian Qiu, Jingwen Leng, Fan Yang, Shuo Yu, Yunxin Liu, Yu Feng, Yuhao Zhu, Lidong Zhou, Yun Liang, Chen Zhang, Chao Li, Minyi Guo
2024	J	`jnl`	Graph-Centric Performance Analysis for Large-Scale Parallel Applications. IEEE Trans. Parallel Distributed Syst. Yuyang Jin, Haojie Wang, Runxin Zhong, Chen Zhang, Xia Liao, Feng Zhang, Jidong Zhai
2024	—	`conf`	MAGPY: Compiling Eager Mode DNN Programs by Monitoring Execution States. USENIX ATC Chen Zhang, Rongchao Dong, Haojie Wang, Runxin Zhong, Jike Chen, Jidong Zhai
2024	A	`conf`	MixQ: Taming Dynamic Outliers in Mixed-Precision Quantization by Online Prediction. SC Yidong Chen, Chen Zhang, Rongchao Dong, Haoyuan Zhang, Yonghua Zhang, Zhonghua Lu, Jidong Zhai
2024	A*	`conf`	Oltron: Algorithm-Hardware Co-design for Outlier-Aware Quantization of LLMs with Inter-/Intra-Layer Adaptation. DAC Chenhao Xue, Chen Zhang, Xun Jiang, Zhutianya Gao, Yibo Lin, Guangyu Sun
2023	—	`conf`	Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks. ACM TUR-C Chen Zhang, Guangyu Sun, Zhenman Fang, Peipei Zhou, Jason Cong
2023	A*	`conf`	Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation. MICRO Xinkai Song, Yuanbo Wen, Xing Hu, Tianbo Liu, Haoxuan Zhou, Husheng Han, Tian Zhi, Zidong Du, Wei Li, Rui Zhang, Chen Zhang, Lin Gao, Qi Guo, Tianshi Chen
2023	A*	`conf`	Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning. OSDI Chen Zhang, Lingxiao Ma, Jilong Xue, Yining Shi, Ziming Miao, Fan Yang, Jidong Zhai, Zhi Yang, Mao Yang
2023	A*	`conf`	OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. ISCA Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
2023	J	`jnl`	OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. CoRR Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
2023	J	`jnl`	PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR. CoRR Zixuan Ma, Haojie Wang, Jingze Xing, Liyan Zheng, Chen Zhang, Huanqi Cao, Kezhao Huang, Shizhi Tang, Penghan Wang, Jidong Zhai
2023	A*	`conf`	RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration. MICRO Guyue Huang, Zhengyang Wang, Po-An Tsai, Chen Zhang, Yufei Ding, Yuan Xie
2022	A*	`conf`	ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. MICRO Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
2022	J	`jnl`	ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. CoRR Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
2022	B	`conf`	Calibration of the Multiple Choice Machine Reading Comprehension. IJCNN Luxi Xing, Yue Hu, Yuqiang Xie, Wei Peng, Yajing Sun, Chen Zhang
2022	J	`jnl`	Critique of "MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization" by SCC Team From Tsinghua University. IEEE Trans. Parallel Distributed Syst. Runxin Zhong, Jiajie Chen, Chen Zhang, Mingshu Zhai, Zeyu Song, Yutian Wang, Wentao Han, Lin Gan, Jidong Zhai
2022	A	`conf`	Efficiently emulating high-bitwidth computation with low-bitwidth hardware. ICS Zixuan Ma, Haojie Wang, Guanyu Feng, Chen Zhang, Lei Xie, Jiaao He, Shengqi Chen, Jidong Zhai
2022	A*	`conf`	FreeTensor: a free-form DSL with holistic optimizations for irregular tensor programs. PLDI Shizhi Tang, Jidong Zhai, Haojie Wang, Lin Jiang, Liyan Zheng, Zhenhao Yuan, Chen Zhang
2022	C	`conf`	Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. ICCD Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo
2022	J	`jnl`	Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. CoRR Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo
2022	B	`conf`	PerFlow: a domain specific framework for automatic performance analysis of parallel applications. PPoPP Yuyang Jin, Haojie Wang, Runxin Zhong, Chen Zhang, Jidong Zhai
2022	A*	`conf`	ROLLER: Fast and Efficient Tensor Compilation for Deep Learning. OSDI Hongyu Zhu, Ruofan Wu, Yijia Diao, Shanbin Ke, Haoyu Li, Chen Zhang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Wei Cui, Fan Yang, Mao Yang, Lidong Zhou, Asaf Cidon, Gennady Pekhimenko
2022	A*	`conf`	SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. ICLR Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
2022	J	`jnl`	SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. CoRR Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
2022	A	`conf`	UniQ: A Unified Programming Model for Efficient Quantum Circuit Simulation. SC Chen Zhang, Haojie Wang, Zixuan Ma, Lei Xie, Zeyu Song, Jidong Zhai
2021	J	`jnl`	A Fast Lock for Explicit Message Passing Architectures. IEEE Trans. Computers Xiongchao Tang, Chen Zhang, Jidong Zhai, Xuehai Qian, Wenguang Chen, Yong Jiang
2021	A*	`conf`	Boosting Mobile CNN Inference through Semantic Memory. ACM Multimedia Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu
2021	J	`jnl`	Boosting Mobile CNN Inference through Semantic Memory. CoRR Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu
2021	J	`jnl`	Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From Tsinghua University. IEEE Trans. Parallel Distributed Syst. Chen Zhang, Chenggang Zhao, Jiaao He, Shengqi Chen, Liyan Zheng, Kezhao Huang, Wentao Han, Jidong Zhai
2021	A*	`conf`	Dual-side Sparse Tensor Core. ISCA Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng
2021	J	`jnl`	Dual-side Sparse Tensor Core. CoRR Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng
2021	J	`jnl`	Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms. CoRR Ruizhi Chen, Xiaoyu Wu, Yansong Pan, Kaizhao Yuan, Ling Li, TianYun Ma, JiYuan Liang, Rui Zhang, Kai Wang, Chen Zhang, Shaohui Peng, Xishan Zhang, Zidong Du, Qi Guo, Yunji Chen
2021	A	`conf`	HyQuas: hybrid partitioner based quantum circuit simulation system on GPU. ICS Chen Zhang, Zeyu Song, Haojie Wang, Kaiyuan Rong, Jidong Zhai
2020	J	`jnl`	Deeper Insights into Weight Sharing in Neural Architecture Search. CoRR Yuge Zhang, Zejun Lin, Junyang Jiang, Quanlu Zhang, Yujing Wang, Hui Xue, Chen Zhang, Yaming Yang
2020	B	`conf`	LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression. COLING Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Quanlu Zhang, Yaming Yang, Yunhai Tong, Jing Bai
2020	J	`jnl`	LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression. CoRR Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Yaming Yang, Quanlu Zhang, Yunhai Tong, Jing Bai
2020	A*	`conf`	SCYLLA: QoE-aware Continuous Mobile Vision with FPGA-based Dynamic Deep Neural Network Reconfiguration. INFOCOM Shuang Jiang, Zhiyao Ma, Xiao Zeng, Chenren Xu, Mi Zhang, Chen Zhang, Yunxin Liu
2019	A*	`conf`	Balanced Sparsity for Efficient DNN Inference on GPU. AAAI Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie
2019	J	`jnl`	Caffeine: Toward Uniformed Representation and Acceleration for Deep Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Chen Zhang, Guangyu Sun, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong
2019	A	`conf`	Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity. FPGA Shijie Cao, Chen Zhang, Zhuliang Yao, Wencong Xiao, Lanshun Nie, De-chen Zhan, Yunxin Liu, Ming Wu, Lintao Zhang
2019	—	`conf`	Live Video Analytics with FPGA-based Smart Cameras. HotEdgeVideo@MobiCom Shang Wang, Chen Zhang, Yuanchao Shu, Yunxin Liu
2019	A*	`conf`	SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization. CVPR Shijie Cao, Lingxiao Ma, Wencong Xiao, Chen Zhang, Yunxin Liu, Lintao Zhang, Lanshun Nie, Zhi Yang
2018	J	`jnl`	Balanced Sparsity for Efficient DNN Inference on GPU. CoRR Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie
2018	J	`jnl`	Best-Effort FPGA Programming: A Few Steps Can Go a Long Way. CoRR Jason Cong, Zhenman Fang, Yuchen Hao, Peng Wei, Cody Hao Yu, Chen Zhang, Peipei Zhou
2017	—	`conf`	Using Data Compression for Optimizing FPGA-Based Convolutional Neural Network Accelerators. APPT Yijin Guan, Ningyi Xu, Chen Zhang, Zhihang Yuan, Jason Cong
2016	A	`conf`	Caffeine: towards uniformed representation and acceleration for deep convolutional neural networks. ICCAD Chen Zhang, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong
2016	A	`conf`	Energy-Efficient CNN Implementation on a Deeply Pipelined FPGA Cluster. ISLPED Chen Zhang, Di Wu, Jiayu Sun, Guangyu Sun, Guojie Luo, Jason Cong
2015	A	`conf`	Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks. FPGA Chen Zhang, Peng Li, Guangyu Sun, Yijin Guan, Bingjun Xiao, Jason Cong
2014	A	`conf`	An efficient design and implementation of LSM-tree based key-value store on open-channel SSD. EuroSys Peng Wang, Guangyu Sun, Song Jiang, Jian Ouyang, Shiding Lin, Chen Zhang, Jason Cong
2013	A	`conf`	Automatic multidimensional memory partitioning for FPGA-based accelerators (abstract only). FPGA Yuxin Wang, Peng Li, Peng Zhang, Chen Zhang, Jason Cong
2013	A*	`conf`	Memory partitioning for multidimensional arrays in high-level synthesis. DAC Yuxin Wang, Peng Li, Peng Zhang, Chen Zhang, Jason Cong