Yun Liang

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 138

Top Venues

CoRR

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

DAC

ICCAD

Publications

Fan Cui, Chenyang Yin, Kexing Zhou, Youwei Xiao, Guangyu Sun, Qiang Xu, Qipeng Guo, Demin Song, Dahua Lin, Xingcheng Zhang, Yun Liang
OriGen:Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection. CoRR (2024)
Renze Chen, Zijian Ding, Size Zheng, Chengrui Zhang, Jingwen Leng, Xuanzhe Liu, Yun Liang
MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN. ASPLOS (3) (2024)
Lei Chen, Yiqi Chen, Zhufei Chu, Wenji Fang, Tsung-Yi Ho, Yu Huang, Sadaf Khan, Min Li, Xingquan Li, Yun Liang, Yibo Lin, Jinwei Liu, Yi Liu, Guojie Luo, Zhengyuan Shi, Guangyu Sun, Dimitrios Tsaras, Runsheng Wang, Ziyi Wang, Xinming Wei, Zhiyao Xie, Qiang Xu, Chenhao Xue, Evangeline F. Y. Young, Bei Yu, Mingxuan Yuan, Haoyi Zhang, Zuodong Zhang, Yuxiang Zhao, Hui-Ling Zhen, Ziyang Zheng, Binwu Zhu, Keren Zhu, Sunan Zou
The Dawn of AI-Native EDA: Promises and Challenges of Large Circuit Models. CoRR (2024)
Cong Li, Zhe Zhou, Yang Wang, Fan Yang, Ting Cao, Mao Yang, Yun Liang, Guangyu Sun
PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization. ASPLOS (2) (2024)
Ruifan Xu, Jin Luo, Yun Liang
Hermes: Enhancing Extensibility in High-Level Synthesis through Multi-Level IRs. FPGA (2024)
Size Zheng, Renze Chen, Meng Li, Zihao Ye, Luis Ceze, Yun Liang
vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs. CoRR (2024)
Yingjie Chen, Jiarui Zhang, Tao Wang, Yun Liang
Trend-Aware Supervision: On Learning Invariance for Semi-supervised Facial Action Unit Intensity Estimation. AAAI (2024)
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)
Liqiang Lu, Zizhang Luo, Size Zheng, Jieming Yin, Jason Cong, Yun Liang, Jianwei Yin
Rubick: A Unified Infrastructure for Analyzing, Exploring, and Implementing Spatial Architectures via Dataflow Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (4) (2024)
Siwei Tan, Liqiang Lu, Hanyu Zhang, Jia Yu, Congliang Lang, Yongheng Shang, Xinkui Zhao, Mingshuai Chen, Yun Liang, Jianwei Yin
QuFEM: Fast and Accurate Quantum Readout Calibration Using the Finite Element Method. ASPLOS (2) (2024)
Xiaochen Hao, Hongbo Rong, Mingzhe Zhang, Ce Sun, Hong H. Jiang, Yun Liang
POPA: Expressing High and Portable Performance across Spatial and Vector Architectures for Tensor Computations. FPGA (2024)
Size Zheng, Renze Chen, Meng Li, Zihao Ye, Luis Ceze, Yun Liang
vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs. MLSys (2024)
Cong Li, Zhe Zhou, Size Zheng, Jiaxi Zhang, Yun Liang, Guangyu Sun
SpecPIM: Accelerating Speculative Inference on PIM-Enabled System via Architecture-Dataflow Co-Exploration. ASPLOS (3) (2024)
Youwei Xiao, Zizhang Luo, Kexing Zhou, Yun Liang
Cement: Streamlining FPGA Hardware Design with Cycle-Deterministic eHDL and Synthesis. FPGA (2024)
Jing Mai, Jiarui Wang, Zhixiong Di, Guojie Luo, Yun Liang, Yibo Lin
OpenPARF: An Open-Source Placement and Routing Framework for Large-Scale Heterogeneous FPGAs with Deep Learning Toolkit. ASICON (2023)
Shuzhang Zhong, Meng Li, Yun Liang, Runsheng Wang, Ru Huang
Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization. CoRR (2023)
Jiangfei Duan, Xiuhong Li, Ping Xu, Xingcheng Zhang, Shengen Yan, Yun Liang, Dahua Lin
Proteus: Simulating the Performance of Distributed DNN Training. CoRR (2023)
Yifan Chen, Zaiwen Wen, Yun Liang, Yibo Lin
Stronger Mixed-Size Placement Backbone Considering Second-Order Information. ICCAD (2023)
Size Zheng, Siyuan Chen, Peidi Song, Renze Chen, Xiuhong Li, Shengen Yan, Dahua Lin, Jingwen Leng, Yun Liang
Chimera: An Analytical Optimizing Framework for Effective Compute-intensive Operators Fusion. HPCA (2023)
Yun Liang, Wei Zhang, Stephen Neuendorffer, Wayne Luk
Special Issue: "AI Acceleration on FPGAs". ACM Trans. Embed. Comput. Syst. 22 (6) (2023)
Zizhang Luo, Liqiang Lu, Size Zheng, Jieming Yin, Jason Cong, Jianwei Yin, Yun Liang
Rubick: A Synthesis Framework for Spatial Architectures via Dataflow Decomposition. DAC (2023)
Xiuping Cui, Size Zheng, Tianyu Jia, Le Ye, Yun Liang
ARES: A Mapping Framework of DNNs Towards Diverse PIMs with General Abstractions. ICCAD (2023)
Yingjie Chen, Jiarui Zhang, Tao Wang, Yun Liang
EventFormer: AU Event Transformer for Facial Action Unit Event Detection. BMVC (2023)
Shuzhang Zhong, Meng Li, Yun Liang, Runsheng Wang, Ru Huang
Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization. ICCAD (2023)
Xiaochen Hao, Zijian Ding, Jieming Yin, Yuan Wang, Yun Liang
ALEGO: Towards Cost-Aware Architecture and Integration Co-Design for Chiplet-based Spatial Accelerators. CoRR (2023)
Jing Mai, Jiarui Wang, Zhixiong Di, Guojie Luo, Yun Liang, Yibo Lin
OpenPARF: An Open-Source Placement and Routing Framework for Large-Scale Heterogeneous FPGAs with Deep Learning Toolkit. CoRR (2023)
Size Zheng, Siyuan Chen, Yun Liang
Memory and Computation Coordinated Mapping of DNNs onto Complex Heterogeneous SoC. DAC (2023)
Xiaochen Hao, Mingzhe Zhang, Ce Sun, Zhuofu Tao, Hongbo Rong, Yu Zhang, Lei He, Eric Petit, Wenguang Chen, Yun Liang
Lasa: Abstraction and Specialization for Productive and Performant Linear Algebra on FPGAs. FCCM (2023)
Size Zheng, Siyuan Chen, Siyuan Gao, Liancheng Jia, Guangyu Sun, Runsheng Wang, Yun Liang
TileFlow: A Framework for Modeling Fusion Dataflow via Tree-based Analysis. MICRO (2023)
Yanchi Dong, Tianyu Jia, Kaixuan Du, Yiqi Jing, Qijun Wang, Pixian Zhan, Yadong Zhang, Fengyun Yan, Yufei Ma, Yun Liang, Le Ye, Ru Huang
A Model-Specific End-to-End Design Methodology for Resource-Constrained TinyML Hardware. DAC (2023)
Zizhang Luo, Liqiang Lu, Yicheng Jin, Liancheng Jia, Yun Liang
Calabash: Accelerating Attention Using a Systolic Array Chain on FPGAs. FPL (2023)
Kexing Zhou, Yun Liang, Yibo Lin, Runsheng Wang, Ru Huang
Khronos: Fusing Memory Access for Improved Hardware RTL Simulation. MICRO (2023)
Liancheng Jia, Zizhang Luo, Liqiang Lu, Yun Liang
Automatic Generation of Spatial Accelerator for Tensor Algebra. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (6) (2023)
Xiaochen Hao, Zijian Ding, Jieming Yin, Yuan Wang, Yun Liang
Monad: Towards Cost-Effective Specialization for Chiplet-Based Spatial Accelerators. ICCAD (2023)
Ruifan Xu, Youwei Xiao, Jin Luo, Yun Liang
HECTOR: A Multi-Level Intermediate Representation for Hardware Synthesis Methodologies. ICCAD (2022)
Yingjie Chen, Huasong Zhong, Chong Chen, Chen Shen, Jianqiang Huang, Tao Wang, Yun Liang, Qianru Sun
On Mitigating Hard Clusters for Face Clustering. ECCV (12) (2022)
Haokun Li, Jing Liu, Liancheng Jia, Yun Liang, Yaowei Wang, Mingkui Tan
Downscaling and Overflow-aware Model Compression for Efficient Vision Processors. ICDCS Workshops (2022)
Wei Zhang, Ray Cheung, Yun Liang, Hiroki Nakahara
Message from the General Chair and Program Co-Chairs. FPT (2022)
Liqiang Lu, Yun Liang
Morphling: A Reconfigurable Architecture for Tensor Computation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Yingjie Chen, Diqi Chen, Tao Wang, Yizhou Wang, Yun Liang
Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition. CoRR (2022)
Size Zheng, Renze Chen, Yicheng Jin, Anjiang Wei, Bingyang Wu, Xiuhong Li, Shengen Yan, Yun Liang
NeoFlow: A Flexible Framework for Enabling Efficient Compilation for High Performance DNN Training. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Zejia Fan, Yuchen Gu, Zhewen Hao, Yueyang Pan, Pengcheng Xu, Yuxuan Yan, Fangyuan Yang, Zhenxin Fu, Yun Liang
Critique of "MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization" by SCC Team From Peking University. IEEE Trans. Parallel Distributed Syst. 33 (9) (2022)
Yingjie Chen, Jiarui Zhang, Diqi Chen, Tao Wang, Yizhou Wang, Yun Liang
EventFormer: AU Event Transformer for Facial Action Unit Event Detection. CoRR (2022)
Size Zheng, Renze Chen, Anjiang Wei, Yicheng Jin, Qin Han, Liqiang Lu, Bingyang Wu, Xiuhong Li, Shengen Yan, Yun Liang
AMOS: enabling automatic mapping for tensor computations on spatial accelerators with hardware abstraction. ISCA (2022)
Yingjie Chen, Diqi Chen, Tao Wang, Yizhou Wang, Yun Liang
Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition. AAAI (2022)
Yun Liang, Liqiang Lu, Yicheng Jin, Jiaming Xie, Ruirui Huang, Jiansong Zhang, Wei Lin
An Efficient Hardware Design for Accelerating Sparse CNNs With NAS-Based Models. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (3) (2022)
Yun Liang, Hiroki Nakahara, Wei Zhang, Fubing Mao, Ray Cheung
Preface. FPT (2022)
Yingjie Chen, Huasong Zhong, Chong Chen, Chen Shen, Jianqiang Huang, Tao Wang, Yun Liang, Qianru Sun
On Mitigating Hard Clusters for Face Clustering. CoRR (2022)
Qingcheng Xiao, Yun Liang
Towards Agile DNN Accelerator Design Using Incremental Synthesis on FPGAs. FPGA (2022)
Yun Liang, Qingcheng Xiao, Liqiang Lu, Jiaming Xie
FCNNLib: A Flexible Convolution Algorithm Library for Deep Learning on FPGAs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (8) (2022)
Yingjie Chen, Chong Chen, Xiao Luo, Jianqiang Huang, Xian-Sheng Hua, Tao Wang, Yun Liang
Pursuing Knowledge Consistency: Supervised Hierarchical Contrastive Learning for Facial Action Unit Recognition. ACM Multimedia (2022)
Xiuping Cui, Xiaochen Hao, Yun Liang, Guangyu Sun, Xiaoxin Cui, Yuan Wang, Ru Huang
A Mapping Model of SNNs to Neuromorphic Hardware. AICAS (2022)
Liancheng Jia, Yuyue Wang, Jingwen Leng, Yun Liang
EMS: efficient memory subsystem synthesis for spatial accelerators. DAC (2022)
Liancheng Jia, Zizhang Luo, Liqiang Lu, Yun Liang
TensorLib: A Spatial Accelerator Generation Framework for Tensor Algebra. DAC (2021)
Tao Yang, Zhezhi He, Tengchuan Kou, Qingzheng Li, Qi Han, Haibao Yu, Fangxin Liu, Yun Liang, Li Jiang
BISWSRBS: A Winograd-based CNN Accelerator with a Fine-grained Regular Sparsity Pattern and Mixed Precision Quantization. ACM Trans. Reconfigurable Technol. Syst. 14 (4) (2021)
Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. IISWC (2021)
Yingjie Chen, Han Wu, Tao Wang, Yizhou Wang, Yun Liang
Cross-Modal Representation Learning for Lightweight and Accurate Facial Action Unit Detection. IEEE Robotics Autom. Lett. 6 (4) (2021)
Chao Li, Yun Liang
Preface. J. Comput. Sci. Technol. 36 (5) (2021)
Liancheng Jia, Zizhang Luo, Liqiang Lu, Yun Liang
TensorLib: A Spatial Accelerator Generation Framework for Tensor Algebra. CoRR (2021)
Liqiang Lu, Naiqing Guan, Yuyue Wang, Liancheng Jia, Zizhang Luo, Jieming Yin, Jason Cong, Yun Liang
TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation. ISCA (2021)
Yingjie Chen, Diqi Chen, Yizhou Wang, Tao Wang, Yun Liang
CaFGraph: Context-aware Facial Multi-graph Representation for Facial Action Unit Recognition. ACM Multimedia (2021)
Liqiang Lu, Naiqing Guan, Yuyue Wang, Liancheng Jia, Zizhang Luo, Jieming Yin, Jason Cong, Yun Liang
TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation. CoRR (2021)
Liqiang Lu, Yicheng Jin, Hangrui Bi, Zizhang Luo, Peng Li, Tao Wang, Yun Liang
Sanger: A Co-Design Framework for Enabling Sparse Attention using Reconfigurable Architecture. MICRO (2021)
Liancheng Jia, Zizhang Luo, Liqiang Lu, Yun Liang
Analyzing the Design Space of Spatial Tensor Accelerators on FPGAs. ISVLSI (2021)
Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. CoRR (2021)
Yun Liang, Liqiang Lu, Jiaming Xie
OMNI: A Framework for Integrating Hardware and Software Optimizations for Sparse CNNs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (8) (2021)
Yihua Cheng, Zejia Fan, Jing Mai, Yifan Wu, Pengcheng Xu, Yuxuan Yan, Zhenxin Fu, Yun Liang
Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From Peking University. IEEE Trans. Parallel Distributed Syst. 32 (11) (2021)
Qingcheng Xiao, Size Zheng, Bingzhe Wu, Pengcheng Xu, Xuehai Qian, Yun Liang
HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation. ISCA (2021)
Qingcheng Xiao, Size Zheng, Bingzhe Wu, Pengcheng Xu, Xuehai Qian, Yun Liang
HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation. CoRR (2021)
Yingjie Chen, Jiarui Zhang, Diqi Chen, Tao Wang, Yizhou Wang, Yun Liang
AUPro: Multi-label Facial Action Unit Proposal Generation for Sequence-Level Analysis. ICONIP (3) (2021)
Hongbo Rong, Xiaochen Hao, Yun Liang, Lidong Xu, Hong H. Jiang, Pradeep Dubey
Systolic Computing on GPUs for Productive Performance. CoRR (2020)
Tao Yang, Yunkun Liao, Jianping Shi, Yun Liang, Naifeng Jing, Li Jiang
A Winograd-Based CNN Accelerator with a Fine-Grained Regular Sparsity Pattern. FPL (2020)
Jieru Zhao, Liang Feng, Sharad Sinha, Wei Zhang, Yun Liang, Bingsheng He
Performance Modeling and Directives Optimization for High-Level Synthesis on FPGA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (7) (2020)
Liancheng Jia, Liqiang Lu, Xuechao Wei, Yun Liang
Generating Systolic Array Accelerators With Reusable Blocks. IEEE Micro 40 (4) (2020)
Qingcheng Xiao, Liqiang Lu, Jiaming Xie, Yun Liang
FCNNLib: An Efficient and Flexible Convolution Algorithm Library on FPGAs. DAC (2020)
Yi-Hsiang Lai, Hongbo Rong, Size Zheng, Weihao Zhang, Xiuping Cui, Yunshan Jia, Jie Wang, Brendan Sullivan, Zhiru Zhang, Yun Liang, Youhui Zhang, Jason Cong, Nithin George, Jose Alvarez, Christopher J. Hughes, Pradeep Dubey
SuSy: A Programming Model for Productive Construction of High-Performance Systolic Arrays on FPGAs. ICCAD (2020)
Yun Liang, Liqiang Lu, Qingcheng Xiao, Shengen Yan
Evaluating Fast Algorithms for Convolutional Neural Networks on FPGAs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (4) (2020)
Qingcheng Xiao, Yun Liang
Fune: An FPGA Tuning Framework for CNN Acceleration. IEEE Des. Test 37 (1) (2020)
Size Zheng, Yun Liang, Shuo Wang, Renze Chen, Kaiwen Sheng
FlexTensor: An Automatic Schedule Exploration and Optimization Framework for Tensor Computation on Heterogeneous System. ASPLOS (2020)
Liancheng Jia, Yun Liang, Xiuhong Li, Liqiang Lu, Shengen Yan
Enabling Efficient Fast Convolution Algorithms on GPUs via MegaKernels. IEEE Trans. Computers 69 (7) (2020)
Jingchen Zhu, Guangyu Sun, Xian Zhang, Chao Zhang, Weiqi Zhang, Yun Liang, Tao Wang, Yiran Chen, Jia Di
Fork Path: Batching ORAM Requests to Remove Redundant Memory Accesses. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (10) (2020)
Liqiang Lu, Jiaming Xie, Ruirui Huang, Jiansong Zhang, Wei Lin, Yun Liang
An Efficient Hardware Accelerator for Sparse Convolutional Neural Networks on FPGAs. FCCM (2019)
Xiaolong Xie, Yun Liang, Xiuhong Li, Wei Tan
CuLDA_CGS: solving large-scale LDA problems on GPUs. PPoPP (2019)
Qingcheng Xiao, Yun Liang
Zac: Towards Automatic Optimization and Deployment of Quantized Deep Neural Networks on Embedded Devices. ICCAD (2019)
Jingjing Xu, Liang Zhao, Hanqi Yan, Qi Zeng, Yun Liang, Xu Sun
LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification. EMNLP/IJCNLP (1) (2019)
Caiwen Ding, Shuo Wang, Ning Liu, Kaidi Xu, Yanzhi Wang, Yun Liang
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs. FPGA (2019)
Xuechao Wei, Yun Liang, Jason Cong
Overcoming Data Transfer Bottlenecks in FPGA-based DNN Accelerators via Layer Conscious Memory Management. DAC (2019)
Xiaolong Xie, Yun Liang, Xiuhong Li, Wei Tan
CuLDA: Solving Large-scale LDA Problems on GPUs. HPDC (2019)
Runbin Shi, Junjie Liu, Hayden Kwok-Hay So, Shuo Wang, Yun Liang
E-LSTM: Efficient Inference of Sparse LSTM on Embedded Heterogeneous System. DAC (2019)
Shuo Wang, Yun Liang, Wei Zhang
Poly: Efficient Heterogeneous System and Application Management for Interactive Applications. HPCA (2019)
Xuechao Wei, Yun Liang, Peng Zhang, Cody Hao Yu, Jason Cong
Overcoming Data Transfer Bottlenecks in DNN Accelerators via Layer-Conscious Memory Managment. FPGA (2019)
Xu Xia, Lei Zhang, Chengli Mei, Jinyan Li, Xuetian Zhu, Yun Liang, Jeffrey Song
A Survey on 5G Network Slicing Enabling the Smart Grid. ICPADS (2019)
Liqiang Lu, Yun Liang, Ruirui Huang, Wei Lin, Xiaoyuan Cui, Jiansong Zhang
Speedy: An Accelerator for Sparse Convolutional Neural Networks on FPGAs. FPGA (2019)
Jiaming Xie, Yun Liang
SPART: Optimizing CNNs by Utilizing Both Sparsity of Weights and Feature Maps. APPT (2019)
Jiaxi Zhang, Wentai Zhang, Guojie Luo, Xuechao Wei, Yun Liang, Jason Cong
Frequency Improvement of Systolic Array-Based CNNs on FPGAs. ISCAS (2019)
Xiuhong Li, Yun Liang, Shengen Yan, Liancheng Jia, Yinghan Li
A coordinated tiling and batching framework for efficient GEMM on GPUs. PPoPP (2019)
Caiwen Ding, Shuo Wang, Ning Liu, Kaidi Xu, Yanzhi Wang, Yun Liang
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs. CoRR (2019)
Xiaolong Xie, Yun Liang, Xiuhong Li, Wei Tan
CuLDA_CGS: Solving Large-scale LDA Problems on GPUs. CoRR (2018)
Xuechao Wei, Yun Liang, Xiuhong Li, Cody Hao Yu, Peng Zhang, Jason Cong
TGPA: tile-grained pipeline architecture for low latency CNN inference. ICCAD (2018)
Shuo Wang, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang, Yun Liang
C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs. FPGA (2018)

Yun Liang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yun Liang