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ORCIDChen Zhang 0001
Person information
- affiliation: Shanghai Jiao Tong University, China
- affiliation (former): Alibaba DAMO Academy, Shanghai, China
- affiliation (former): Microsoft Research Asia
- affiliation (former): Peking University, Center for Energy-Efficient Computing and Applications (CECA), Beijing, China
Other persons with the same name
- Chen Zhang — disambiguation page
- Chen Zhang 0002 — University of Memphis, Memphis, Tennessee, USA
- Chen Zhang 0003
![[0000-0002-1486-3013]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1486-3013")
— Chinese Academy of Sciences, Institute of Software, State Key Laboratory of Computer Science, Beijing, China - Chen Zhang 0004 — Zhejiang University, College of Computer Science and Technology, Hangzhou, China
- Chen Zhang 0005 — Sichuan University, College of Electronics and Information Engineering, Chengdu, China
- Chen Zhang 0006 — Huazhong University of Science and Technology, School of Energy and Power Engineering, Wuhan, China
- Chen Zhang 0007 — Tsinghua University, Beijing, China (and 1 more)
- Chen Zhang 0008 (aka: Cevin Zhang) — KTH Royal Institute of Technology, Unit of Logistics and Informatics, Stockholm, Sweden
- Chen Zhang 0009 — Hainan University, College of Information Science and Technology, Haikou, China
- Chen Zhang 0010 — Graph Intelligence Inc. (and 3 more)
- Chen Zhang 0011 — Darmstadt University of Technology, Germany
- Chen Zhang 0012 — University of Dayton, Department of Electrical and Computer Engineering, OH, USA
- Chen Zhang 0013 (aka: Chen Jason Zhang) — Hong Kong Polytechnic University, Department of Computing, Hong Kong (and 1 more)
- Chen Zhang 0014 — George Mason University, Center for Spatial Information Science and Systems, Fairfax, VA, USA
- Chen Zhang 0015 — Xidian University, School of Computer Science and Technology, Xi'an, China
- Chen Zhang 0016 — Technical University of Denmark, Department of Electrical Engineering, Lyngby, Denmark (and 2 more)
- Chen Zhang 0017 — Fairchild Semiconductor, Irvine, CA, USA (and 1 more)
- Chen Zhang 0018 — Singapore-MIT Alliance for Research and Technology Centre, Singapore
- Chen Zhang 0019 — Peking University, Wangxuan Institute of Computer Technology, Beijing, China
- Chen Zhang 0020 — Zhejiang University, Hangzhou, China
- Chen Zhang 0021 — University of Illinois Urbana-Champaign, USA
- Chen Zhang 0022 — University of California, San Diego, USA
- Chen Zhang 0023 — University College London, UK
- Chen Zhang 0024 — Yangzhou University, China (and 1 more)
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2020 – today
- 2025
[j7]Anping Song, Chen Zhang, Xiaozhen Lou, Wendong Qi, Minyi Gu, Runzhi Huang, Shizhao Ji:
DWCLF-Net: A weighted contrastive learning feature fusion network for temporal scar image sequence classification. Biomed. Signal Process. Control. 104: 107491 (2025)- [j6]Chen Zhang, Yang Wang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng, Zhigang Ji, Yuan Xie, Ru Huang:
DSTC: Dual-Side Sparse Tensor Core for DNNs Acceleration on Modern GPU Architectures. IEEE Trans. Computers 74(2): 341-355 (2025) - [c35]Zixuan Ma, Haojie Wang, Jingze Xing, Shuhong Huang, Liyan Zheng, Chen Zhang, Huanqi Cao, Kezhao Huang, Mingshu Zhai, Shizhi Tang, Penghan Wang, Jidong Zhai:
IntelliGen: Instruction-Level Auto-tuning for Tensor Program with Monotonic Memory Optimization. CGO 2025: 107-122 - [c34]Runxin Zhong, Yuyang Jin, Chen Zhang, Kinman Lei, Shuangyu Li, Jidong Zhai:
FlashTensor: Optimizing Tensor Programs by Leveraging Fine-grained Tensor Property. PPoPP 2025: 183-196 - [i15]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:
Jenga: Effective Memory Management for Serving LLM with Heterogeneity. CoRR abs/2503.18292 (2025) - [i14]Chenhao Xue, Yi Ren, Jinwei Zhou, Kezhi Li, Chen Zhang, Yibo Lin, Lining Zhang, Qiang Xu, Guangyu Sun:
DOMAC: Differentiable Optimization for High-Speed Multipliers and Multiply-Accumulators. CoRR abs/2503.23943 (2025) - [i13]Yi Ren, Chenhao Xue, Jiaxing Zhang, Chen Zhang, Qiang Xu, Yibo Lin, Lining Zhang, Guangyu Sun:
DiffuSE: Cross-Layer Design Space Exploration of DNN Accelerator via Diffusion-Driven Optimization. CoRR abs/2503.23945 (2025) - 2024
- [j5]Yuyang Jin, Haojie Wang, Runxin Zhong, Chen Zhang, Xia Liao, Feng Zhang, Jidong Zhai:
Graph-Centric Performance Analysis for Large-Scale Parallel Applications. IEEE Trans. Parallel Distributed Syst. 35(7): 1221-1238 (2024) - [c33]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:
Amanda: Unified Instrumentation Framework for Deep Neural Networks. ASPLOS (1) 2024: 1-18 - [c32]Chenhao Xue, Chen Zhang, Xun Jiang, Zhutianya Gao, Yibo Lin, Guangyu Sun:
Oltron: Algorithm-Hardware Co-design for Outlier-Aware Quantization of LLMs with Inter-/Intra-Layer Adaptation. DAC 2024: 31:1-31:6 - [c31]Yidong Chen, Chen Zhang, Rongchao Dong, Haoyuan Zhang, Yonghua Zhang, Zhonghua Lu, Jidong Zhai:
MixQ: Taming Dynamic Outliers in Mixed-Precision Quantization by Online Prediction. SC 2024: 74 - [c30]Chen Zhang, Rongchao Dong, Haojie Wang, Runxin Zhong, Jike Chen, Jidong Zhai:
MAGPY: Compiling Eager Mode DNN Programs by Monitoring Execution States. USENIX ATC 2024: 683-698 - 2023
- [c29]Chen Zhang, Guangyu Sun, Zhenman Fang, Peipei Zhou, Jason Cong:
Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks. ACM TUR-C 2023: 47-48 - [c28]Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu:
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. ISCA 2023: 3:1-3:15 - [c27]Guyue Huang, Zhengyang Wang, Po-An Tsai, Chen Zhang, Yufei Ding, Yuan Xie:
RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration. MICRO 2023: 338-352 - [c26]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:
Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation. MICRO 2023: 1305-1318 - [c25]Chen Zhang, Lingxiao Ma, Jilong Xue, Yining Shi, Ziming Miao, Fan Yang, Jidong Zhai, Zhi Yang, Mao Yang:
Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning. OSDI 2023: 681-699 - [i12]Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu:
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. CoRR abs/2304.07493 (2023) - [i11]Zixuan Ma, Haojie Wang, Jingze Xing, Liyan Zheng, Chen Zhang, Huanqi Cao, Kezhao Huang, Shizhi Tang, Penghan Wang, Jidong Zhai:
PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR. CoRR abs/2307.04995 (2023) - 2022
- [j4]Runxin Zhong, Jiajie Chen, Chen Zhang, Mingshu Zhai, Zeyu Song, Yutian Wang, Wentao Han, Lin Gan, Jidong Zhai:
Critique of "MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization" by SCC Team From Tsinghua University. IEEE Trans. Parallel Distributed Syst. 33(9): 2050-2053 (2022) - [c24]Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo:
Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. ICCD 2022: 738-745 - [c23]Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo:
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. ICLR 2022 - [c22]Zixuan Ma, Haojie Wang, Guanyu Feng, Chen Zhang, Lei Xie, Jiaao He, Shengqi Chen, Jidong Zhai:
Efficiently emulating high-bitwidth computation with low-bitwidth hardware. ICS 2022: 5:1-5:12 - [c21]Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu:
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. MICRO 2022: 1414-1433 - [c20]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:
ROLLER: Fast and Efficient Tensor Compilation for Deep Learning. OSDI 2022: 233-248 - [c19]Shizhi Tang, Jidong Zhai, Haojie Wang, Lin Jiang, Liyan Zheng, Zhenhao Yuan, Chen Zhang:
FreeTensor: a free-form DSL with holistic optimizations for irregular tensor programs. PLDI 2022: 872-887 - [c18]Yuyang Jin, Haojie Wang, Runxin Zhong, Chen Zhang, Jidong Zhai:
PerFlow: a domain specific framework for automatic performance analysis of parallel applications. PPoPP 2022: 177-191 - [c17]Chen Zhang, Haojie Wang, Zixuan Ma, Lei Xie, Zeyu Song, Jidong Zhai:
UniQ: A Unified Programming Model for Efficient Quantum Circuit Simulation. SC 2022: 49:1-49:16 - [i10]Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo:
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. CoRR abs/2202.07471 (2022) - [i9]Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu:
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. CoRR abs/2208.14286 (2022) - [i8]Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo:
Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. CoRR abs/2209.10778 (2022) - 2021
- [j3]Xiongchao Tang, Chen Zhang, Jidong Zhai, Xuehai Qian, Wenguang Chen, Yong Jiang:
A Fast Lock for Explicit Message Passing Architectures. IEEE Trans. Computers 70(10): 1555-1568 (2021) - [j2]Chen Zhang, Chenggang Zhao, Jiaao He, Shengqi Chen, Liyan Zheng, Kezhao Huang, Wentao Han, Jidong Zhai:
Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From Tsinghua University. IEEE Trans. Parallel Distributed Syst. 32(11): 2631-2634 (2021) - [c16]Chen Zhang, Zeyu Song, Haojie Wang, Kaiyuan Rong, Jidong Zhai:
HyQuas: hybrid partitioner based quantum circuit simulation system on GPU. ICS 2021: 443-454 - [c15]Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng:
Dual-side Sparse Tensor Core. ISCA 2021: 1083-1095 - [c14]Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu:
Boosting Mobile CNN Inference through Semantic Memory. ACM Multimedia 2021: 2362-2371 - [i7]Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng:
Dual-side Sparse Tensor Core. CoRR abs/2105.09564 (2021) - [i6]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:
Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms. CoRR abs/2109.01768 (2021) - [i5]Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu:
Boosting Mobile CNN Inference through Semantic Memory. CoRR abs/2112.02644 (2021) - 2020
- [c13]Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Quanlu Zhang, Yaming Yang, Yunhai Tong, Jing Bai:
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression. COLING 2020: 3225-3234 - [c12]Shuang Jiang, Zhiyao Ma, Xiao Zeng, Chenren Xu, Mi Zhang, Chen Zhang, Yunxin Liu:
SCYLLA: QoE-aware Continuous Mobile Vision with FPGA-based Dynamic Deep Neural Network Reconfiguration. INFOCOM 2020: 1369-1378 - [i4]Yuge Zhang, Zejun Lin, Junyang Jiang, Quanlu Zhang, Yujing Wang, Hui Xue, Chen Zhang, Yaming Yang:
Deeper Insights into Weight Sharing in Neural Architecture Search. CoRR abs/2001.01431 (2020) - [i3]Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Yaming Yang, Quanlu Zhang, Yunhai Tong, Jing Bai:
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression. CoRR abs/2004.04124 (2020)
2010 – 2019
- 2019
- [j1]Chen Zhang, Guangyu Sun, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong:
Caffeine: Toward Uniformed Representation and Acceleration for Deep Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(11): 2072-2085 (2019) - [c11]Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie:
Balanced Sparsity for Efficient DNN Inference on GPU. AAAI 2019: 5676-5683 - [c10]Shijie Cao, Lingxiao Ma, Wencong Xiao, Chen Zhang, Yunxin Liu, Lintao Zhang, Lanshun Nie, Zhi Yang:
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization. CVPR 2019: 11216-11225 - [c9]Shijie Cao, Chen Zhang, Zhuliang Yao, Wencong Xiao, Lanshun Nie, De-chen Zhan, Yunxin Liu, Ming Wu, Lintao Zhang:
Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity. FPGA 2019: 63-72 - [c8]Shang Wang, Chen Zhang, Yuanchao Shu, Yunxin Liu:
Live Video Analytics with FPGA-based Smart Cameras. HotEdgeVideo@MobiCom 2019: 9-14 - 2018
- [i2]Jason Cong, Zhenman Fang, Yuchen Hao, Peng Wei, Cody Hao Yu, Chen Zhang, Peipei Zhou:
Best-Effort FPGA Programming: A Few Steps Can Go a Long Way. CoRR abs/1807.01340 (2018) - [i1]Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie:
Balanced Sparsity for Efficient DNN Inference on GPU. CoRR abs/1811.00206 (2018) - 2017
- [c7]Yijin Guan, Ningyi Xu, Chen Zhang, Zhihang Yuan, Jason Cong:
Using Data Compression for Optimizing FPGA-Based Convolutional Neural Network Accelerators. APPT 2017: 14-26 - 2016
- [c6]Chen Zhang, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong:
Caffeine: towards uniformed representation and acceleration for deep convolutional neural networks. ICCAD 2016: 12:1-12:8 - [c5]Chen Zhang, Di Wu, Jiayu Sun, Guangyu Sun, Guojie Luo, Jason Cong:
Energy-Efficient CNN Implementation on a Deeply Pipelined FPGA Cluster. ISLPED 2016: 326-331 - 2015
- [c4]Chen Zhang, Peng Li, Guangyu Sun, Yijin Guan, Bingjun Xiao, Jason Cong:
Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks. FPGA 2015: 161-170 - 2014
- [c3]Peng Wang, Guangyu Sun, Song Jiang, Jian Ouyang, Shiding Lin, Chen Zhang, Jason Cong:
An efficient design and implementation of LSM-tree based key-value store on open-channel SSD. EuroSys 2014: 16:1-16:14 - 2013
- [c2]Yuxin Wang, Peng Li, Peng Zhang, Chen Zhang, Jason Cong:
Memory partitioning for multidimensional arrays in high-level synthesis. DAC 2013: 12:1-12:8 - [c1]Yuxin Wang, Peng Li, Peng Zhang, Chen Zhang, Jason Cong:
Automatic multidimensional memory partitioning for FPGA-based accelerators (abstract only). FPGA 2013: 269
Coauthor Index
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