Memory partitioning for multidimensional arrays in high-level synthesis. - Yuxin Wang; Peng Li 031; Peng Zhang 007; Chen Zhang 001; Jason Cong (DAC, 2013)

Automatic multidimensional memory partitioning for FPGA-based accelerators (abstract only). - Yuxin Wang; Peng Li 031; Peng Zhang 007; Chen Zhang 001; Jason Cong (FPGA, 2013)

An efficient design and implementation of LSM-tree based key-value store on open-channel SSD. - Peng Wang 025; Guangyu Sun 003; Song Jiang 001; Jian Ouyang; Shiding Lin; Chen Zhang 001; Jason Cong (EuroSys, 2014)

Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks. - Chen Zhang 001; Peng Li 031; Guangyu Sun 003; Yijin Guan; Bingjun Xiao; Jason Cong (FPGA, 2015)

Caffeine: towards uniformed representation and acceleration for deep convolutional neural networks. - Chen Zhang 001; Zhenman Fang; Peipei Zhou 001; Peichen Pan; Jason Cong (ICCAD, 2016)

Energy-Efficient CNN Implementation on a Deeply Pipelined FPGA Cluster. - Chen Zhang 001; Di Wu 010; Jiayu Sun; Guangyu Sun 003; Guojie Luo; Jason Cong (ISLPED, 2016)

Using Data Compression for Optimizing FPGA-Based Convolutional Neural Network Accelerators. - Yijin Guan; Ningyi Xu; Chen Zhang 001; Zhihang Yuan; Jason Cong (APPT, 2017)

Best-Effort FPGA Programming: A Few Steps Can Go a Long Way. - Jason Cong; Zhenman Fang; Yuchen Hao; Peng Wei 004; Cody Hao Yu; Chen Zhang 001; Peipei Zhou 001 (CoRR, 2018)

Balanced Sparsity for Efficient DNN Inference on GPU. - Zhuliang Yao; Shijie Cao; Wencong Xiao; Chen Zhang 001; Lanshun Nie (AAAI, 2019)

SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization. - Shijie Cao; Lingxiao Ma; Wencong Xiao; Chen Zhang 001; Yunxin Liu 001; Lintao Zhang; Lanshun Nie; Zhi Yang 001 (CVPR, 2019)

Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity. - Shijie Cao; Chen Zhang 001; Zhuliang Yao; Wencong Xiao; Lanshun Nie; De-chen Zhan; Yunxin Liu 001; Ming Wu 007; Lintao Zhang (FPGA, 2019)

Live Video Analytics with FPGA-based Smart Cameras. - Shang Wang; Chen Zhang 001; Yuanchao Shu; Yunxin Liu 001 (HotEdgeVideo@MobiCom, 2019)

Caffeine: Toward Uniformed Representation and Acceleration for Deep Convolutional Neural Networks. - Chen Zhang 001; Guangyu Sun 003; Zhenman Fang; Peipei Zhou 001; Peichen Pan; Jason Cong (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression. - Yihuan Mao; Yujing Wang; Chufan Wu; Chen Zhang 001; Yang Wang 053; Quanlu Zhang; Yaming Yang 001; Yunhai Tong; Jing Bai 010 (COLING, 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 002; Chen Zhang 001; Yunxin Liu 001 (INFOCOM, 2020)

Deeper Insights into Weight Sharing in Neural Architecture Search. - Yuge Zhang; Zejun Lin; Junyang Jiang; Quanlu Zhang; Yujing Wang; Hui Xue 004; Chen Zhang 001; Yaming Yang 001 (CoRR, 2020)

HyQuas: hybrid partitioner based quantum circuit simulation system on GPU. - Chen Zhang 001; Zeyu Song; Haojie Wang; Kaiyuan Rong; Jidong Zhai (ICS, 2021)

Dual-side Sparse Tensor Core. - Yang Wang 053; Chen Zhang 001; Zhiqiang Xie; Cong Guo 003; Yunxin Liu 001; Jingwen Leng (ISCA, 2021)

Boosting Mobile CNN Inference through Semantic Memory. - Yun Li; Chen Zhang 001; Shihao Han; Li Lyna Zhang; Baoqun Yin; Yunxin Liu 001; Mengwei Xu (ACM Multimedia, 2021)

Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms. - Ruizhi Chen; Xiaoyu Wu; Yansong Pan; Kaizhao Yuan; Ling Li 001; TianYun Ma; JiYuan Liang; Rui Zhang 040; Kai Wang; Chen Zhang 001; Shaohui Peng; Xishan Zhang; et al. (CoRR, 2021)

A Fast Lock for Explicit Message Passing Architectures. - Xiongchao Tang; Chen Zhang 001; Jidong Zhai; Xuehai Qian; Wenguang Chen; Yong Jiang 001 (IEEE Trans. Computers, 2021)

Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From Tsinghua University. - Chen Zhang 001; Chenggang Zhao; Jiaao He; Shengqi Chen 001; Liyan Zheng 001; Kezhao Huang; Wentao Han; Jidong Zhai (IEEE Trans. Parallel Distributed Syst., 2021)

Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. - Cong Guo 003; Yuxian Qiu; Jingwen Leng; Chen Zhang 001; Ying Cao; Quanlu Zhang; Yunxin Liu 001; Fan Yang 024; Minyi Guo (ICCD, 2022)

SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. - Cong Guo 003; Yuxian Qiu; Jingwen Leng; Xiaotian Gao; Chen Zhang 001; Yunxin Liu 001; Fan Yang 024; Yuhao Zhu 001; Minyi Guo (ICLR, 2022)

Efficiently emulating high-bitwidth computation with low-bitwidth hardware. - Zixuan Ma; Haojie Wang; Guanyu Feng; Chen Zhang 001; Lei Xie; Jiaao He; Shengqi Chen 001; Jidong Zhai (ICS, 2022)

ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. - Cong Guo 003; Chen Zhang 001; Jingwen Leng; Zihan Liu 002; Fan Yang 024; Yunxin Liu 001; Minyi Guo; Yuhao Zhu 001 (MICRO, 2022)

ROLLER: Fast and Efficient Tensor Compilation for Deep Learning. - Hongyu Zhu 003; Ruofan Wu; Yijia Diao; Shanbin Ke; Haoyu Li; Chen Zhang 001; Jilong Xue; Lingxiao Ma; Yuqing Xia; Wei Cui; Fan Yang 024; Mao Yang 004; et al. (OSDI, 2022)

FreeTensor: a free-form DSL with holistic optimizations for irregular tensor programs. - Shizhi Tang; Jidong Zhai; Haojie Wang; Lin Jiang; Liyan Zheng 001; Zhenhao Yuan; Chen Zhang 001 (PLDI, 2022)

PerFlow: a domain specific framework for automatic performance analysis of parallel applications. - Yuyang Jin 001; Haojie Wang; Runxin Zhong; Chen Zhang 001; Jidong Zhai (PPoPP, 2022)

UniQ: A Unified Programming Model for Efficient Quantum Circuit Simulation. - Chen Zhang 001; Haojie Wang; Zixuan Ma; Lei Xie; Zeyu Song; Jidong Zhai (SC, 2022)

Critique of "MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization" by SCC Team From Tsinghua University. - Runxin Zhong; Jiajie Chen; Chen Zhang 001; Mingshu Zhai; Zeyu Song; Yutian Wang; Wentao Han; Lin Gan; Jidong Zhai (IEEE Trans. Parallel Distributed Syst., 2022)

Caffeine: Towards Uniformed Representation and Acceleration for Deep Convolutional Neural Networks. - Chen Zhang 001; Guangyu Sun 003; Zhenman Fang; Peipei Zhou 001; Jason Cong (ACM TUR-C, 2023)

OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. - Cong Guo 003; Jiaming Tang; Weiming Hu; Jingwen Leng; Chen Zhang 001; Fan Yang 024; Yunxin Liu 001; Minyi Guo; Yuhao Zhu 001 (ISCA, 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 001; Yufei Ding 001; Yuan Xie 001 (MICRO, 2023)

Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation. - Xinkai Song; Yuanbo Wen; Xing Hu 001; Tianbo Liu 006; Haoxuan Zhou; Husheng Han; Tian Zhi; Zidong Du; Wei Li 008; Rui Zhang 040; Chen Zhang 001; Lin Gao 004; et al. (MICRO, 2023)

Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning. - Chen Zhang 001; Lingxiao Ma; Jilong Xue; Yining Shi 001; Ziming Miao; Fan Yang 024; Jidong Zhai; Zhi Yang 001; Mao Yang 004 (OSDI, 2023)

PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR. - Zixuan Ma; Haojie Wang; Jingze Xing; Liyan Zheng 001; Chen Zhang 001; Huanqi Cao; Kezhao Huang; Shizhi Tang; Penghan Wang; Jidong Zhai (CoRR, 2023)

Amanda: Unified Instrumentation Framework for Deep Neural Networks. - Yue Guan 003; Yuxian Qiu; Jingwen Leng; Fan Yang 024; Shuo Yu 006; Yunxin Liu 001; Yu Feng 007; Yuhao Zhu 001; Lidong Zhou; Yun Liang 001; Chen Zhang 001; Chao Li 009; et al. (ASPLOS (1), 2024)

Oltron: Algorithm-Hardware Co-design for Outlier-Aware Quantization of LLMs with Inter-/Intra-Layer Adaptation. - Chenhao Xue; Chen Zhang 001; Xun Jiang 002; Zhutianya Gao; Yibo Lin; Guangyu Sun 003 (DAC, 2024)

MixQ: Taming Dynamic Outliers in Mixed-Precision Quantization by Online Prediction. - Yidong Chen 003; Chen Zhang 001; Rongchao Dong; Haoyuan Zhang; Yonghua Zhang; Zhonghua Lu; Jidong Zhai (SC, 2024)

MAGPY: Compiling Eager Mode DNN Programs by Monitoring Execution States. - Chen Zhang 001; Rongchao Dong; Haojie Wang; Runxin Zhong; Jike Chen; Jidong Zhai (USENIX ATC, 2024)

Graph-Centric Performance Analysis for Large-Scale Parallel Applications. - Yuyang Jin 001; Haojie Wang; Runxin Zhong; Chen Zhang 001; Xia Liao; Feng Zhang 007; Jidong Zhai (IEEE Trans. Parallel Distributed Syst., 2024)

IntelliGen: Instruction-Level Auto-tuning for Tensor Program with Monotonic Memory Optimization. - Zixuan Ma; Haojie Wang; Jingze Xing; Shuhong Huang; Liyan Zheng 001; Chen Zhang 001; Huanqi Cao; Kezhao Huang; Mingshu Zhai; Shizhi Tang; Penghan Wang; Jidong Zhai (CGO, 2025)

H2-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference. - Cong Li; Yihan Yin; Xintong Wu; Jingchen Zhu; Zhutianya Gao; Dimin Niu; Qiang Wu 012; Xin Si; Yuan Xie 001; Chen Zhang 001; Guangyu Sun 003 (ISCA, 2025)

FlashTensor: Optimizing Tensor Programs by Leveraging Fine-grained Tensor Property. - Runxin Zhong; Yuyang Jin 001; Chen Zhang 001; Kinman Lei; Shuangyu Li; Jidong Zhai (PPoPP, 2025)

DWCLF-Net: A weighted contrastive learning feature fusion network for temporal scar image sequence classification. - Anping Song; Chen Zhang 001; Xiaozhen Lou; Wendong Qi; Minyi Gu; Runzhi Huang; Shizhao Ji (Biomed. Signal Process. Control., 2025)

Data and System Perspectives of Sustainable Artificial Intelligence. - Tao Xie 001; David Harel; Dezhi Ran; Zhenwen Li; Maoliang Li; Zhi Yang 001; Leye Wang; Xiang Chen; Ying Zhang 012; Wentao Zhang 001; Meng Li; Chen Zhang 001; et al. (CoRR, 2025)

DSTC: Dual-Side Sparse Tensor Core for DNNs Acceleration on Modern GPU Architectures. - Chen Zhang 001; Yang Wang 053; Zhiqiang Xie; Cong Guo 003; Yunxin Liu 001; Jingwen Leng; Zhigang Ji; Yuan Xie 001; Ru Huang 001 (IEEE Trans. Computers, 2025)

Jenga: Effective Memory Management for Serving LLM with Heterogeneity. - Chen Zhang 001; Kuntai Du; Shu Liu; Woosuk Kwon; Xiangxi Mo; Yufeng Wang; Xiaoxuan Liu; Kaichao You; Zhuohan Li 001; Mingsheng Long; Jidong Zhai; Joseph Gonzalez 001; et al. (CoRR, 2025)

DOMAC: Differentiable Optimization for High-Speed Multipliers and Multiply-Accumulators. - Chenhao Xue; Yi Ren; Jinwei Zhou; Kezhi Li; Chen Zhang 001; Yibo Lin; Lining Zhang; Qiang Xu 001; Guangyu Sun 003 (CoRR, 2025)

DiffuSE: Cross-Layer Design Space Exploration of DNN Accelerator via Diffusion-Driven Optimization. - Yi Ren; Chenhao Xue; Jiaxing Zhang; Chen Zhang 001; Qiang Xu 001; Yibo Lin; Lining Zhang; Guangyu Sun 003 (CoRR, 2025)

PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications. - Kuntai Du; Bowen Wang; Chen Zhang 001; Yiming Cheng; Qing Lan; Hejian Sang; Yihua Cheng; Jiayi Yao; Xiaoxuan Liu; Yifan Qiao; Ion Stoica; Junchen Jiang (CoRR, 2025)

AC-Refiner: Efficient Arithmetic Circuit Optimization Using Conditional Diffusion Models. - Chenhao Xue; Kezhi Li; Jiaxing Zhang; Yi Ren; Zhengyuan Shi; Chen Zhang 001; Yibo Lin; Lining Zhang; Qiang Xu 001; Guangyu Sun 003 (CoRR, 2025)

ForgeHLS: A Large-Scale, Open-Source Dataset for High-Level Synthesis. - Zedong Peng; Zeju Li; Mingzhe Gao; Qiang Xu 001; Chen Zhang 001; Jieru Zhao (CoRR, 2025)

Fine-Grained Structured Sparse Computing for FPGA-Based AI Inference. - Chen Zhang 001; Shijie Cao; Guohao Dai; Chenbo Geng; Zhuliang Yao; Wencong Xiao; Yunxin Liu 001; Ming Wu 007; Lintao Zhang; Guangyu Sun 003; Zhigang Ji; Runsheng Wang; et al. (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)