Chen Zhang

According to our database, Chen Zhang authored at least 27 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Amanda: Unified Instrumentation Framework for Deep Neural Networks.

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

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning.

Chen Zhang, Lingxiao Ma, Jilong Xue, Yining Shi, Ziming Miao, Fan Yang, Jidong Zhai, Zhi Yang, Mao Yang

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation.

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

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration.

Guyue Huang, Zhengyang Wang, Po-An Tsai, Chen Zhang, Yufei Ding, Yuan Xie

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization.

Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks.

Chen Zhang, Guangyu Sun, Zhenman Fang, Peipei Zhou, Jason Cong

Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022

ROLLER: Fast and Efficient Tensor Compilation for Deep Learning.

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

Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization.

Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation.

Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo

Proceedings of the Tenth International Conference on Learning Representations, 2022

Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training.

Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

2021

Boosting Mobile CNN Inference through Semantic Memory.

Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Dual-side Sparse Tensor Core.

Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

2020

SCYLLA: QoE-aware Continuous Mobile Vision with FPGA-based Dynamic Deep Neural Network Reconfiguration.

Shuang Jiang, Zhiyao Ma, Xiao Zeng, Chenren Xu, Mi Zhang, Chen Zhang, Yunxin Liu

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression.

Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Quanlu Zhang, Yaming Yang, Yunhai Tong, Jing Bai

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Caffeine: Toward Uniformed Representation and Acceleration for Deep Convolutional Neural Networks.

Chen Zhang, Guangyu Sun, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Live Video Analytics with FPGA-based Smart Cameras.

Shang Wang, Chen Zhang, Yuanchao Shu, Yunxin Liu

Proceedings of the 2019 Workshop on Hot Topics in Video Analytics and Intelligent Edges, 2019

Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity.

Shijie Cao, Chen Zhang, Zhuliang Yao, Wencong Xiao, Lanshun Nie, De-chen Zhan, Yunxin Liu, Ming Wu, Lintao Zhang

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization.

Shijie Cao, Lingxiao Ma, Wencong Xiao, Chen Zhang, Yunxin Liu, Lintao Zhang, Lanshun Nie, Zhi Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Balanced Sparsity for Efficient DNN Inference on GPU.

Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Best-Effort FPGA Programming: A Few Steps Can Go a Long Way.

Jason Cong, Zhenman Fang, Yuchen Hao, Peng Wei, Cody Hao Yu, Chen Zhang, Peipei Zhou

CoRR, 2018

2017

Using Data Compression for Optimizing FPGA-Based Convolutional Neural Network Accelerators.

Yijin Guan, Ningyi Xu, Chen Zhang, Zhihang Yuan, Jason Cong

Proceedings of the Advanced Parallel Processing Technologies, 2017

2016

Energy-Efficient CNN Implementation on a Deeply Pipelined FPGA Cluster.

Chen Zhang, Di Wu, Jiayu Sun, Guangyu Sun, Guojie Luo, Jason Cong

Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016

Caffeine: towards uniformed representation and acceleration for deep convolutional neural networks.

Chen Zhang, Zhenman Fang, Peipei Zhou, Peichen Pan, Jason Cong

Proceedings of the 35th International Conference on Computer-Aided Design, 2016

2015

Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks.

Chen Zhang, Peng Li, Guangyu Sun, Yijin Guan, Bingjun Xiao, Jason Cong

Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2015

2014

An efficient design and implementation of LSM-tree based key-value store on open-channel SSD.

Peng Wang, Guangyu Sun, Song Jiang, Jian Ouyang, Shiding Lin, Chen Zhang, Jason Cong

Proceedings of the Ninth Eurosys Conference 2014, 2014

2013

Automatic multidimensional memory partitioning for FPGA-based accelerators (abstract only).

Yuxin Wang, Peng Li, Peng Zhang, Chen Zhang, Jason Cong

Proceedings of the 2013 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2013

Memory partitioning for multidimensional arrays in high-level synthesis.

Yuxin Wang, Peng Li, Peng Zhang, Chen Zhang, Jason Cong

Proceedings of the 50th Annual Design Automation Conference 2013, 2013