Publications
2026
- Syntax-Aware Detection of Training Data Contamination in Code LLMs
Jiazheng Zhang, Cheng Liu, Long Cheng, Xiaowei Li, Huawei Li
The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026 · link - STAC: Spatial-Temporal Activation Contextualization for Resilient LLM Inference
Rengang Zhang, Leyan Wang, Zizhen Liu, Bin Sun, Naixing Wang, Cheng Liu, Jing Ye, Huawei Li
2026 ACM/IEEE Design Automation Conference (DAC), 2026 - Understanding and Mitigating Errors of LLM-Generated RTL Code
Jiazheng Zhang, Cheng Liu, Long Cheng, Xiaowei Li, Huawei Li
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2026 - Adaptive Soft Error Protection for Neural Network Processing
Xinghua Xue, Cheng Liu, Feng Min, Hui Li, Kai Zhang, Yinhe Han
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2026 - VeriPilot: An LLM-Powered Verilog Debugging Framework
Yihan Wang, Cheng Liu, Jiazheng Zhang, Lei Zhang, Long Cheng, Xiaowei Li, Huawei Li
arXiv preprint arXiv:2606.23759, 2026 - Harvesting AI Computation at the Edge via Generic Approximation
Yihan Wang, Huiru Yan, Luxin Zhang, Long Cheng, Weiwei Chen, Ying Wang, Lei Zhang, Cheng Liu, Huawei Li
arXiv preprint arXiv:2606.29518, 2026 - High-Coverage LLM-based Unit Test Code Generation through Control Flow Graph Guidance
Xinran Luo, Cheng Liu, Mengchen Zhao, Zhibin Wu, Tao Lu, Junying Chen
Proceedings of the International Joint Conference on Neural Networks (IJCNN), 2026 - Lifecycle Cost-Effectiveness Modeling for Redundancy-Enhanced Multi-Chiplet Architectures
Zizhen Liu, Fangzhiyi Wang, Mengdi Wang, Jing Ye, Hayden Kwok-Hay So, Cheng Liu, Huawei Li
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2026 - FT-Pilot: Automated Fault-Tolerant RTL Rewriting via Vulnerability-Guided LLMs
Weixing Liu, Zizhen Liu, Jing Ye, Naixing Wang, Cheng Liu, Huawei Li, Xiaowei Li
arXiv preprint arXiv:2605.28169, 2026 - A survey on custom instruction design automation for processors
Cangyuan Li, Cheng Liu, Ying Wang
High Technology Letters, 2026 · link - GLARE: Repository-Level Code Optimization Agents for Heterogeneous CPU-GPU Systems
Junfeng Gong, Cheng Liu, Junying Chen, Xiaowei Li, Huawei Li
The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026 · link - From Large to Small: Transferring CUDA Optimization Expertise via Reasoning Graph
Junfeng Gong, Zhiyi Wei, Junying Chen, Cheng Liu, Huawei Li
The International Conference on Learning Representations (ICLR), 2026 - MCU-MixQ: A HW/SW Co-optimized Mixed-precision Neural Network Design Framework for MCUs
Junfeng Gong, Long Cheng, Jiawei Nian, Cheng Liu, Huawei Li
ACM Transactions on Embedded Computing Systems (TECS), 2026 - ANNS-AMP: Accelerating Approximate Nearest Neighbor Search via Adaptive Mixed-Precision Computing
Mingkai Chen, Cheng Liu, Shengwen Liang, Lei Zhang, Xiaowei Li, Huawei Li
arXiv preprint arXiv:2606.07156, 2026 - Lightweight Algorithm-Based Fault Tolerance (ABFT) for Resilient Machine Learning Systems
Duo Chai, Xinghua Xue, Songwei Pei, Cheng Liu
Machine Learning Systems: The Role of Hardware Design for Dependable Computing, 2026 · link - Analysis of LLM Vulnerability to GPU Soft Errors: An Instruction-Level Fault Injection Study
Duo Chai, Zizhen Liu, Shuhuai Wang, Songwei Pei, Cheng Liu, Huawei Li, Shangguang Wang
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 20262025
- Frontier-guided Graph Reordering
Xinmiao Zhang, Cheng Liu, Shengwen Liang, Chengwei Xiong, Yu Zhang, Lei Zhang, Huawei Li, Xiaowei Li
The 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP), 2025 - FrontOrder: Frontier-guided Graph Reordering
Xinmiao Zhang, Cheng Liu, Shengwen Liang, Chengwei Xiong, Yu Zhang, Lei Zhang, Huawei Li, Xiaowei Li
IEEE International Conference on Data Engineering (ICDE), 2025 - TaijiGraph: An Out-of-core Graph Processing System Enhanced with Computational Storage
Xinmiao Zhang, Cheng Liu, Shengwen Liang, Hayden Kwok-hay So, Ying Wang, Lei Zhang, Huawei Li, Xiaowei Li
The 39th IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2025 - HisOrder: A Historical Frontier-Aware Graph Reordering for Efficient BFS
Xinmiao Zhang, Xiaorong Qin, Lei Zhang, Cheng Liu
The 1st Workshop on FastCode Programming Challenge (FCPC) in PPoPP, 2025 - ApproxPilot: A GNN-based Accelerator Approximation Framework
Qing Zhang, Siting Liu, Yajuan Hui, Cheng Liu
International Symposium of EDA (ISEDA), 2025 - NeuVSA: A Unified and Efficient Accelerator for Neural Vector Search
Ziming Yuan, Lei Dai, Wen Li, Jie Zhang, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li, Jiafeng Guo, Peng Wang, Renhai Chen, Gong Zhang
The 31st IEEE International Symposium on High-Performance Computer Architecture(HPCA), 2025 - Graphitron: A Domain Specific Language for FPGA-based Graph Processing Accelerator Generation
Xinmiao Zhang, Zheng Feng, Shengwen Liang, Xinyu Chen, Lei Zhang, Cheng Liu
The 26th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES), 2025 - DRIM-ANN: An Approximate Nearest Neighbor Search Engine based on Commercial DRAM-PIMs
Mingkai Chen, Tianhua Han, Cheng Liu, Shengwen Liang, Kuai Yu, Lei Dai, Ziming Yuan, Ying Wang, Lei Zhang, Huawei Li, Xiaowei Li
The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2025 - Large processor chip model
Kaiyan Chang, Mingzhi Chen, Yunji Chen*, Zhirong Chen, Dongrui Fan, Junfeng Gong, Nan Guo, Yinhe Han, Qinfen Hao, Shuo Hou, Xuan Huang, Pengwei Jin, Changxin Ke, Cangyuan Li, Guangli Li, Huawei Li, Kuan Li, Naipeng Li, Shengwen Liang, Cheng Liu, Hongwei Liu, Jiahua Liu, Junliang Lv, Jianan Mu, Jin Qin, Bin Sun, Chenxi Wang, Duo Wang, Mingjun Wang, Ying Wang*, Chenggang Wu, Peiyang Wu, Teng Wu, Xiao Xiao, Mengyao Xie, Chenwei Xiong, Ruiyuan Xu, Mingyu Yan, Xiaochun Ye, Kuai Yu, Rui Zhang, Shuoming Zhang, Jiacheng Zhao
SCIENCE CHINA Information Sciences, 2025 - LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator
Guoyu Li, Chunyun Chen, Shengyu Ye, Yang Wang, Fan Yang, Ting Cao, Mohamed M. Sabry Aly, Cheng Liu, Mao Yang
The 31st IEEE International Symposium on High-Performance Computer Architecture(HPCA), 20252024
- 容错深度学习加速器跨层优化
张青, 刘成, 刘波, 黄海同, 王颖, 李华伟, 李晓维
计算机研究与发展, 2024 - HLSPilot: LLM-based High-Level Synthesis
Chengwei Xiong, Cheng Liu, Huawei Li, Xiaowei Li
2024 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2024 - Enabling Energy-Efficient Deployment of Large Language Models on Memristor Crossbar: A Synergy of Large and Small
Zhehui Wang, Tao Luo, Cheng Liu, Weichen Liu, Rick Siow Mong Goh, Weng-Fai Wong
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 - SigDLA: A Deep Learning Accelerator Extension for Signal Processing
Fangfa Fu, Wenyu Zhang, Zesong Jiang, Zhiyu Zhu, Guoyu Li, Bing Yang, Cheng Liu, Liyi Xiao, Jinxiang Wang, Huawei Li, Xiaowei Li
arXiv preprint arXiv:2407.12565, 2024 - IICPilot: An Intelligent Integrated Circuit Backend Design Framework Using Open EDA
Zesong Jiang, Qing Zhang, Cheng Liu, Huawei Li, Xiaowei Li
arXiv preprint arXiv:2407.12576, 2024 - In-Memory Wallace Tree Multipliers Based on Majority Gates Within Voltage-Gated SOT-MRAM Crossbar Arrays
Yajuan Hui, Qingzhen Li, Leimin Wang, Cheng Liu, Deming Zhang, Xiangshui Miao
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2024 - MRFI: An Open Source Multi-Resolution Fault Injection Framework for Neural Network Processing
Haitong Huang, Cheng Liu, Bo Liu, Huawei Li, Xiaowei Li
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2024 - Advancements in Accelerating Deep Neural Network Inference on AIoT Devices: A Survey
Long Cheng, Yan Gu, Qingzhi Liu, Lei Yang, Cheng Liu, Ying Wang
IEEE Transactions on Sustainable Computing, 2024 - An Energy-Efficient In-Memory Accelerator for Graph Construction and Updating
Mingkai Chen, Cheng Liu, Shengwen Liang, Lei He, Ying Wang, Lei Zhang, Huawei Li, Xiaowei Li
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024 - AGC: A Unified Architecture for Accelerating K-Nearest Neighbor Graph Construction in Vector Search
Lei Dai, Ziming Yuan, Shengwen Liang, Wen Li, Kaiwei Zou, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li
2024 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 20242023
- PDG: A Prefetcher for Dynamic Graph Updating
Xinmiao Zhang, Cheng Liu, Jiacheng Ni, Yuanqing Cheng, Lei Zhang, Huawei Li, Xiaowei Li
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023 - Cross-Layer Optimization for Fault-Tolerant Deep Learning
Qing Zhang, Cheng Liu, Bo Liu, Haitong Huang, Ying Wang, Huawei Li, Xiaowei Li
The 4th CCF Integrated Circuit Design and Automation Conference, 2023 - Soft Error Reliability Analysis of Vision Transformers
Xinghua Xue, Cheng Liu, Ying Wang, Bing Yang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023 - Exploring Winograd convolution for cost-effective neural network fault tolerance
Xinghua Xue, Cheng Liu, Bo Liu, Haitong Huang, Ying Wang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023 - ApproxABFT: Approximate algorithm-based fault tolerance for vision transformers
Xinghua Xue, Cheng Liu, Haitong Huang, Bo Liu, Ying Wang, Bing Yang, Tao Luo, Lei Zhang, Huawei Li, Xiaowei Li
arXiv preprint arXiv:2302.10469, 2023 - MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-linear Functions
Neo Wei Ming, Zhehui Wang, Cheng Liu, Rick Siow Mong Goh, Tao Luo
The 11th International Conference on Learning Representations (ICLR), 2023 - DeepBurning-MixQ: An Open Source Mixed-Precision Neural Network Accelerator Design Framework for FPGAs
Erjing Luo, Haitong Huang, Cheng Liu, Guoyu Li, Bing Yang, Ying Wang, Huawei Li, Xiaowei Li
2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2023 - Logic-in-Memory Based on Majority Gates With Voltage-Gated SOT-MRAM Crossbar Arrays
Yajuan Hui, Qingzhen Li, Cheng Liu, Deming Zhang, Xiangshui Miao
IEEE Transactions on Circuits and Systems II: Express Briefs, 2023 - Statistical Modeling of Soft Error Influence on Neural Networks
Haitong Huang, Xinghua Xue, Cheng Liu, Ying Wang, Tao Luo, Long Cheng, Huawei Li, Xiaowei Li
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023 - Deep Learning Accelerator in Loop Reliability Evaluation for Autonomous Driving
Haitong Huang, Cheng Liu
arXiv preprint arXiv:2306.11759, 2023 - S²Loop: A Lightweight Spectral-Spatio Loop Closure Detector for Resource-Constrained Platforms
Yuquan He, Long Zhang, Cheng Liu, Lei Zhang, Ying Wang
IEEE Robotics and Automation Letters, 2023 - Layer-Puzzle: Allocating and Scheduling Multi-task on Multi-core NPUs by Using Layer Heterogeneity
Chengsi Gao, Ying Wang, Cheng Liu, Mengdi Wang, Weiwei Chen, Yinhe Han, Lei Zhang
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023 - Accelerating Deformable Convolution Networks with Dynamic and Irregular Memory Accesses
Cheng Chu, Cheng Liu, Dawen Xu, Ying Wang, Tao Luo, Huawei Li, Xiaowei Li
ACM Transactions on Design Automation of Electronic Systems, 2023 - A deep reinforcement learning-based preemptive approach for cost-aware cloud job scheduling
Long Cheng, Yue Wang, Feng Cheng, Cheng Liu, Zhiming Zhao, Ying Wang
IEEE Transactions on Sustainable Computing, 2023 - Built-in Fault-Tolerant Computing Paradigm for Resilient Large-Scale Chip Design A Self-Test, Self-Diagnosis, and Self-Repair-Based Approach
Pre-order Softcover Book
20232022
- Network Pruning for Bit-Serial Accelerators
Xiandong Zhao, Ying Wang, Cheng Liu, Cong Shi, Kaijie Tu, Lei Zhang
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022 - Winograd convolution: A perspective from fault tolerance
Xinghua Xue, Haitong Huang, Cheng Liu, Tao Luo, Lei Zhang, Ying Wang
Proceedings of the 59th ACM/IEEE Design Automation Conference, 2022 - Variation enhanced attacks against rram-based neuromorphic computing system
Hao Lv, Bing Li, Lei Zhang, Cheng Liu, Ying Wang
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022 - Special session: Fault-tolerant deep learning: A hierarchical perspective
Cheng Liu, Zhen Gao, Siting Liu, Xuefei Ning, Huawei Li, Xiaowei Li
2022 IEEE 40th VLSI Test Symposium (VTS), 2022 - VStore: in-storage graph based vector search accelerator
Shengwen Liang, Ying Wang, Ziming Yuan, Cheng Liu, Huawei Li, Xiaowei Li
Proceedings of the 59th ACM/IEEE Design Automation Conference, 2022 - NoCeption: A fast PPA prediction framework for network-on-chips using graph neural network
Fuping Li, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2022 - On-line fault protection for ReRAM-based neural networks
Wen Li, Ying Wang, Cheng Liu, Yintao He, Lian Liu, Huawei Li, Xiaowei Li
IEEE Transactions on Computers, 2022 - Processing-in-SRAM acceleration for ultra-low power visual 3D perception
Yuquan He, Songyun Qu, Gangliang Lin, Cheng Liu, Lei Zhang, Ying Wang
Proceedings of the 59th ACM/IEEE Design Automation Conference, 2022 - Reexamining CGRA memory sub-system for higher memory utilization and performance
Lei Dai, Ying Wang, Cheng Liu, Fuping Li, Huawei Li, Xiaowei Li
2022 IEEE 40th International Conference on Computer Design (ICCD), 2022 - Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems
Benjamin Chen Ming Choong, Tao Luo, Cheng Liu, Bingsheng He, Wei Zhang, Joey Tianyi Zhou
Journal of Systems Architecture, 2022 - A framework for neural network architecture and compile co-optimization
Weiwei Chen, Ying Wang, Ying Xu, Chengsi Gao, Cheng Liu, Lei Zhang
ACM Transactions on Embedded Computing Systems, 20222021
- Taming process variations in CNFET for efficient last-level cache design
Dawen Xu, Zhuangyu Feng, Cheng Liu, Li Li, Ying Wang, Huawei Li, Xiaowei Li
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2021 - Reliability Evaluation and Analysis of FPGA-Based Neural Network Acceleration System
Dawen Xu, Ziyang Zhu, Cheng Liu, Ying Wang, Shuang Zhao, Lei Zhang, Huaguo Liang, Huawei Li, Kwang-Ting Cheng
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2021 - R2F: A remote retraining framework for AIoT processors with computing errors
Dawen Xu, Meng He, Cheng Liu, Ying Wang, Long Cheng, Huawei Li, Xiaowei Li, Kwang-Ting Cheng
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2021 - Network-on-interposer design for agile neural-network processor chip customization
Mengdi Wang, Ying Wang, Cheng Liu, Lei Zhang
2021 58th ACM/IEEE Design Automation Conference (DAC), 2021 - MT-DLA: An efficient multi-task deep learning accelerator design
Mengdi Wang, Bing Li, Ying Wang, Cheng Liu, Xiaohan Ma, Xiandong Zhao, Lei Zhang
Proceedings of the 2021 on Great Lakes Symposium on VLSI, 2021 - NASA: accelerating neural network design with a NAS processor
Xiaohan Ma, Chang Si, Ying Wang, Cheng Liu, Lei Zhang
2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture (ISCA), 2021 - VADER: Leveraging the Natural Variation of Hardware to Enhance Adversarial Attack
Hao Lv, Bing Li, Ying Wang, Cheng Liu, Lei Zhang
Proceedings of the 26th Asia and South Pacific Design Automation Conference, 2021 - HyCA: A hybrid computing architecture for fault-tolerant deep learning
Cheng Liu, Cheng Chu, Dawen Xu, Ying Wang, Qianlong Wang, Huawei Li, Xiaowei Li, Kwang-Ting Cheng
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021 - GLIST: Towards in-storage graph learning
Cangyuan Li, Ying Wang, Cheng Liu, Shengwen Liang, Huawei Li, Xiaowei Li
2021 USENIX Annual Technical Conference (USENIX ATC 21), 2021 - Tare: task-adaptive in-situ reram computing for graph learning
Yintao He, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li
2021 58th ACM/IEEE Design Automation Conference (DAC), 2021 - Picovo: A lightweight rgb-d visual odometry targeting resource-constrained iot devices
Yuquan He, Ying Wang, Cheng Liu, Lei Zhang
2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 - Gcim: a near-data processing accelerator for graph construction
Lei He, Cheng Liu, Ying Wang, Shengwen Liang, Huawei Li, Xiaowei Li
2021 58th ACM/IEEE Design Automation Conference (DAC), 2021 - Network-aware locality scheduling for distributed data operators in data centers
Long Cheng, Ying Wang, Qingzhi Liu, Dick HJ Epema, Cheng Liu, Ying Mao, John Murphy
IEEE Transactions on Parallel and Distributed Systems, 2021 - CHaNAS: coordinated search for network architecture and scheduling policy
Weiwei Chen, Ying Wang, Gangliang Lin, Chengsi Gao, Cheng Liu, Lei Zhang
Proceedings of the 22nd ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems, 20212020
- Linear Symmetric Quantization of Neural Networks for Low-precision Integer Hardware
Xiandong Zhao, Ying Wang, Xuyi Cai, Cheng Liu, Lei Zhang
International Conference on Learning Representations (ICLR), 2020 - BitPruner: Network pruning for bit-serial accelerators
Xiandong Zhao, Ying Wang, Cheng Liu, Cong Shi, Kaijie Tu, Lei Zhang
2020 57th ACM/IEEE Design Automation Conference (DAC), 2020 - Persistent fault analysis of neural networks on FPGA-based acceleration system
Dawen Xu, Ziyang Zhu, Cheng Liu, Ying Wang, Huawei Li, Lei Zhang, Kwang-Ting Cheng
2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2020 - Multi-task Scheduling for PIM-based Heterogeneous Computing System
Dawen Xu, Cheng Chu, Cheng Liu, Ying Wang, Xianzhong Zhou, Lei Zhang, Huaguo Liang, Huawei Li
Proceedings of the 2020 on Great Lakes Symposium on VLSI, 2020 - A hybrid computing architecture for fault-tolerant deep learning accelerators
Dawen Xu, Cheng Chu, Qianlong Wang, Cheng Liu, Ying Wang, Lei Zhang, Huaguo Liang, Kwang-Ting Cheng
2020 IEEE 38th International Conference on Computer Design (ICCD), 2020 - CNT-Cache: An energy-efficient carbon nanotube cache with adaptive encoding
Dawen Xu, Kexin Chu, Cheng Liu, Ying Wang, Lei Zhang, Huawei Li
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2020 - Accelerating generative neural networks on unmodified deep learning processors—A software approach
Dawen Xu, Cheng Liu, Ying Wang, Kaijie Tu, Bingsheng He, Lei Zhang
IEEE Transactions on Computers, 2020 - Energy efficient in-memory integer multiplication based on racetrack memory
Tao Luo, Wei Zhang, Bingsheng He, Cheng Liu, Douglas Maskell
2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS), 2020 - ENGN: A high-throughput and energy-efficient accelerator for large graph neural networks
Shengwen Liang, Ying Wang, Cheng Liu, Lei He, LI Huawei, Dawen Xu, Xiaowei Li
IEEE Transactions on Computers, 2020 - Deepburning-gl: an automated framework for generating graph neural network accelerators
Shengwen Liang, Cheng Liu, Ying Wang, Huawei Li, Xiaowei Li
Proceedings of the 39th International Conference on Computer-Aided Design, 2020 - You Only Search Once: A Fast Automation Framework for Single-Stage DNN/Accelerator Co-design
Weiwei Chen, Ying Wang, Shuang Yang, Cheng Liu, Lei Zhang
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2020 - Towards best-effort approximation: applying NAS to general-purpose approximate computing
Weiwei Chen, Ying Wang, Shuang Yang, Chen Liu, Lei Zhang
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 20202019
- Resilient neural network training for accelerators with computing errors
Dawen Xu, Kouzi Xing, Cheng Liu, Ying Wang, Yulin Dai, Long Cheng, Huawei Li, Lei Zhang
2019 IEEE 30th International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2019 - Exploring emerging CNFET for efficient last level cache design
Dawen Xu, Li Li, Ying Wang, Cheng Liu, Huawei Li
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019 - OBFS: OpenCL based BFS optimizations on software programmable FPGAs
Cheng Liu, Xinyu Chen, Bingsheng He, Xiaofei Liao, Ying Wang, Lei Zhang
2019 International Conference on Field-Programmable Technology (ICFPT), 2019 - Ins-dla: An in-ssd deep learning accelerator for near-data processing
Shengwen Liang, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li
2019 29th International Conference on Field Programmable Logic and Applications (FPL), 2019 - Squeezing the last MHz for CNN acceleration on FPGAs
Li Li, Dawen Xu, Kouzi Xing, Cheng Liu, Ying Wang, Huawei Li, Xiaowei Li
2019 IEEE International Test Conference in Asia (ITC-Asia), 2019 - A survey on graph processing accelerators: Challenges and opportunities
Chuang-Yi Gui, Long Zheng, Bingsheng He, Cheng Liu, Xin-Yu Chen, Xiao-Fei Liao, Hai Jin
Journal of Computer Science and Technology, 20192018
- FCN-engine: Accelerating deconvolutional layers in classic CNN processors
Dawen Xu, Kaijie Tu, Ying Wang, Cheng Liu, Bingsheng He, Huawei Li
2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2018 - A virtual channel allocation algorithm for noc
Dongxing Bao, Xiaoming Li, Yizong Xin, Jiuru Yang, Xiangshi Ren, Fangfa Fu, Cheng Liu
Machine Learning and Intelligent Communications: Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II 2, 20182016
- FPGA overlays
Hayden Kwok-Hay So, Cheng Liu
FPGAs for Software Programmers, 2016 - A soft processor overlay with tightly-coupled FPGA accelerator
Ho-Cheung Ng, Cheng Liu, Hayden Kwok-Hay So
arXiv preprint arXiv:1606.06483, 20162015
- QuickDough: A rapid FPGA loop accelerator design framework using soft CGRA overlay
Cheng Liu, Ho-Cheung Ng, Hayden Kwok-Hay So
2015 International Conference on Field Programmable Technology (FPT), 2015 - QuickDough: a rapid FPGA loop accelerator design framework using soft coarse-grained reconfigurable array overlay
Cheng Liu
HKU Theses Online (HKUTO), 2015 - Automatic nested loop acceleration on FPGAs using soft CGRA overlay
Cheng Liu, Ho-Cheung Ng, Hayden Kwok-Hay So
arXiv preprint arXiv:1509.00042, 20152014
- Economizing TSV Resources in 3-D Network-on-Chip Design
Y. Wang, Y.-H. Han, L. Zhang, B.-Z. Fu, C. Liu, H.-W. Li, X Li
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 20142013
- A Soft Coarse-Grained Reconfigurable Array Based High-level Synthesis Methodology: Promoting Design Productivity and Exploring Extreme FPGA Frequency
Cheng Liu, C.L. Yu, H.K.-H. So
Field-Programmable Custom Computing Machines (FCCM), 2013 IEEE 21st Annual International Symposium on, 2013 - RevivePath: Resilient network-on-chip design through data path salvaging of router
Yin-He Han, Cheng Liu, Hang Lu, Wen-Bo Li, Lei Zhang, Xiao-Wei Li
Journal of Computer Science and Technology, 20132011
- Vertical interconnects squeezing in symmetric 3D mesh Network-on-Chip
Cheng Liu, Lei Zhang, Yinhe Han, Xiaowei Li
16th Asia and South Pacific Design Automation Conference (ASP-DAC 2011), 2011 - A resilient on-chip router design through data path salvaging
Cheng Liu, Lei Zhang, Yinhe Han, Xiaowei Li
16th Asia and South Pacific Design Automation Conference (ASP-DAC 2011), 20112009
- 支持确定性/自适应路由的低延迟片上路由器设计
Qingli Zhang, Cheng Liu, Liyi Xiao, Fangfa Fu
计算机辅助设计与图形学学报, 20092008
- Design and analysis of on-chip router
Cheng Liu, Liyi Xiao, Fangfa Fu
2008 9th International Conference on Solid-State and Integrated-Circuit Technology, 20082007
- NISAR: An AXI compliant on-chip NI architecture offering transaction reordering processing
Xu Yang, Zhang Qing-li, Fu Fang-fa, Yu Ming-yan, Liu Cheng
2007 7th International Conference on ASIC, 2007
