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Liang Chang 0002
Person information
- affiliation: University of Electronic Science and Technology of China, Chengdu, China
- affiliation: Beihang University, Fert Beijing Research Institute, BDBC, Beijing, China
Other persons with the same name
- Liang Chang — disambiguation page
- Liang Chang 0001
— Beijing Normal University, School of Artificial Intelligence, China (and 1 more)
- Liang Chang 0003
- Liang Chang 0004
- Liang Chang 0005 — State Radio Monitoring Center, Beijing, China
- Liang Chang 0006 — Guangdong University of Foreign Studies, Guangzhou, China
- Liang Chang 0007 — Beijing University of Posts and Telecommunications, Beijing, China
- Liang Chang 0008 — University of International Business and Economics, China
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2020 – today
- 2024
- [j27]Jiahao Liu, Xiao Liu, Xu Wang, Ziyi Xie, Chaozheng Guo, Zirui Zhong, Jiajing Fan, Hui Qiu, Yiming Xu, Huajing Qin, Yu Long, Yuhong Zhou, Zixuan Shen, Liang Zhou, Liang Chang, Shanshan Liu, Shuisheng Lin, Chao Wang, Jun Zhou:
A High Accuracy and Ultra-Energy-Efficient Zero-Shot-Retraining Seizure Detection Processor. IEEE J. Solid State Circuits 59(11): 3549-3565 (2024) - [j26]Liang Chang
General Purpose Deep Learning Accelerator Based on Bit Interleaving. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(5): 1470-1483 (2024) - [j25]Zhuang Shao
An Efficient GCN Accelerator Based on Workload Reorganization and Feature Reduction. IEEE Trans. Circuits Syst. I Regul. Pap. 71(2): 646-659 (2024) - [j24]Xin Zhao
HDSuper: High-Quality and High Computational Utilization Edge Super-Resolution Accelerator With Hardware-Algorithm Co-Design Techniques. IEEE Trans. Circuits Syst. I Regul. Pap. 71(4): 1679-1692 (2024) - [j23]Pan Zhao
HISPOC: A High-Performance Irregular Activation Sparsity-Aware Point Cloud Network Accelerator. IEEE Trans. Circuits Syst. II Express Briefs 71(4): 2294-2298 (2024) - [j22]Yuchuan Gong
An Energy-Efficient Visual Object Tracking Processor Exploiting Domain-Specific Features. IEEE Trans. Circuits Syst. II Express Briefs 71(5): 2794-2798 (2024) - [j21]Liang Chang
IPOCIM: Artificial Intelligent Architecture Design Space Exploration With Scalable Ping-Pong Computing-in-Memory Macro. IEEE Trans. Very Large Scale Integr. Syst. 32(2): 256-268 (2024) - [c38]Xin Zhao, Zhicheng Hu, Zilong Guo, Haodong Fan, Xi Yang, Jing Zhou, Liang Chang:
A RRAM-based High Energy-efficient Accelerator Supporting Multimodal Tasks for Virtual Reality Wearable Devices. DAC 2024: 37:1-37:6 - [c37]Haodong Fan, Liang Chang, Junlu Zhou, Xi Yang, Shuisheng Lin, Jun Zhou:
An Ultra-Low Power Time-Domain based SNN Processor for ECG Classification. ISCAS 2024: 1-5 - [c36]Xin Zhao, Zhicheng Hu, Liang Chang:
USR-LUT: A High-Efficient Universal Super Resolution Accelerator with Lookup Table. ISCAS 2024: 1-5 - [c35]Jianbiao Xiao, Xuhui Zhang, Shijian Zhu, Zhengwei Yang, Meng Du, Chunsheng Ji, Yu Long, Xiao Chen, Xiaoyu Miao, Liang Zhou, Liang Chang, Shanshan Liu, Jun Zhou:
14.8 KASP: A 96.8% 10-Keyword Accuracy and 1.68μJ/Classification Keyword Spotting and Speaker Verification Processor Using Adaptive Beamforming and Progressive Wake-Up. ISSCC 2024: 268-270 - [c34]Jiahao Liu, Xiao Liu, Xu Wang, Ziyi Xie, Zirui Zhong, Jiajing Fan, Hui Qiu, Yiming Xu, Huajing Qin, Yu Long, Yuhong Zhou, Zixuan Shen, Liang Zhou, Liang Chang, Shanshan Liu, Shuisheng Lin, Chao Wang, Jun Zhou:
33.1 A High-Accuracy and Energy-Efficient Zero-Shot-Retraining Seizure-Detection Processor with Hybrid-Feature-Driven Adaptive Processing and Learning-Based Adaptive Channel Selection. ISSCC 2024: 542-544 - [c33]Ruixin Mao, Lin Tang, Zihan Xia, Zhaomin Zhang, Aoyu Shen, Yu Long, Jinhong Guo, Yunpeng He, Lai Zhang, Shujuan Wang, Liang Zhou, Liang Chang, Shanshan Liu, Jun Zhou:
FSNAP: An Ultra-Energy-Efficient Few-Spikes-Neuron Based Reconfigurable SNN Processor Enabling Unified On-Chip Learning and Accuracy-Driven Adaptive Time-Window Tuning. VLSI Technology and Circuits 2024: 1-2 - [i5]Dongqi Fan, Ting Yue, Xin Zhao, Liang Chang:
LIR: A Lightweight Baseline for Image Restoration. CoRR abs/2402.01368 (2024) - [i4]Dongqi Fan, Xin Zhao, Liang Chang:
IRConStyle: Image Restoration Framework Using Contrastive Learning and Style Transfer. CoRR abs/2402.15784 (2024) - [i3]Shengyu Fan, Xianglong Deng, Zhuoyu Tian, Zhicheng Hu, Liang Chang, Rui Hou, Dan Meng, Mingzhe Zhang:
Taiyi: A high-performance CKKS accelerator for Practical Fully Homomorphic Encryption. CoRR abs/2403.10188 (2024) - [i2]Dongqi Fan, Junhao Zhang, Liang Chang:
ConStyle v2: A Strong Prompter for All-in-One Image Restoration. CoRR abs/2406.18242 (2024) - 2023
- [j20]Jiahao Liu
An Ultra-Low Power Reconfigurable Biomedical AI Processor With Adaptive Learning for Versatile Wearable Intelligent Health Monitoring. IEEE Trans. Biomed. Circuits Syst. 17(5): 952-967 (2023) - [j19]Liang Chang
TDPRO: Time-Domain-Based Computing-in Memory Engine for Ultra-Low Power ECG Processor. IEEE Trans. Circuits Syst. I Regul. Pap. 70(10): 3908-3919 (2023) - [j18]Lujie Peng
A High Accuracy and Low Power CNN-Based Environmental Sound Classification Processor. IEEE Trans. Circuits Syst. I Regul. Pap. 70(12): 4865-4876 (2023) - [j17]Ye Liu
NVP: A Flexible and Efficient Processor Architecture for Accelerating Diverse Computer Vision Tasks including DNN. IEEE Trans. Circuits Syst. II Express Briefs 70(1): 271-275 (2023) - [j16]Ye Liu
BOHA: A High Performance VSLAM Backend Optimization Hardware Accelerator Using Recursive Fine-Grain H-Matrix Decomposition and Early-Computing With Approximate Linear Solver. IEEE Trans. Circuits Syst. II Express Briefs 70(10): 3827-3831 (2023) - [j15]Liang Chang
ADAS: A High Computational Utilization Dynamic Reconfigurable Hardware Accelerator for Super Resolution. ACM Trans. Reconfigurable Technol. Syst. 16(3): 47:1-47:22 (2023) - [c32]Jiahao Liu, Xiao Liu, Liang Zhou, Liang Chang, Jun Zhou:
A Lightweight Convolutional Neural Network for Atrial Fibrillation Detection Using Dual-Channel Binary Features from Single-Lead Short ECG. AICAS 2023: 1-5 - [c31]Liang Chang, Xin Zhao
HDSuper: Algorithm-Hardware Co-design for Light-weight High-quality Super-Resolution Accelerator. DAC 2023: 1-6 - [c30]Teng Zhang, Minghui Yang, Le Jin, Guoshun Zhou, Xuefeng Zhao, Chao Shi, Xingyu Yuan, Liang Zhou, Liang Chang, Jun Zhou:
A FPGA-Based Iterative 6DoF Pose Refinement Processing Unit for Fast and Energy-Efficient Pose Estimation in Picking Robots. IECON 2023: 1-6 - [c29]Yuchuan Gong, Teng Zhang, Hongtao Guo, Xiyuan Liu, Jingxiao Zheng, Hongqiang Wu, Conghan Jia, Luying Que, Liang Zhou, Liang Chang, Jun Zhou:
DL-VOPU: An Energy-Efficient Domain-Specific Deep-Learning-Based Visual Object Processing Unit Supporting Multi-Scale Semantic Feature Extraction for Mobile Object Detection/Tracking Applications. ISSCC 2023: 338-339 - 2022
- [j14]Ye Liu, Kun Huang, Jingyuan Li, Xiangting Li, Zeng Zeng, Liang Chang
AdaSG: A Lightweight Feature Point Matching Method Using Adaptive Descriptor with GNN for VSLAM. Sensors 22(16): 5992 (2022) - [j13]Liang Chang
SCA: Search-Based Computing Hardware Architecture with Precision Scalable and Computation Reconfigurable Scheme. Sensors 22(21): 8545 (2022) - [j12]Ruixin Mao, Sixu Li
An Ultra-Energy-Efficient and High Accuracy ECG Classification Processor With SNN Inference Assisted by On-Chip ANN Learning. IEEE Trans. Biomed. Circuits Syst. 16(5): 832-841 (2022) - [j11]Ye Liu
MobileSP: An FPGA-Based Real-Time Keypoint Extraction Hardware Accelerator for Mobile VSLAM. IEEE Trans. Circuits Syst. I Regul. Pap. 69(12): 4919-4929 (2022) - [j10]Jianbiao Xiao
ULECGNet: An Ultra-Lightweight End-to-End ECG Classification Neural Network. IEEE J. Biomed. Health Informatics 26(1): 206-217 (2022) - [c28]Liang Chang, Pan Zhao, Jun Zhou:
Pipelined Computing-in-Memory Macro with Computation-Memory Aware Technique. APCCAS 2022: 505-509 - [c27]Jiahao Liu, Jianbiao Xiao
An Energy-Efficient Cardiac Arrhythmia Classification Processor using Heartbeat Difference based Classification and Event-Driven Neural Network Computation with Adaptive Wake-Up. CICC 2022: 1-2 - [c26]Jiahao Liu, Zirui Zhong, Yong Zhou, Hui Qiu, Jianbiao Xiao, Jiajing Fan, Zhaomin Zhang, Sixu Li
An energy-efficient seizure detection processor using event-driven multi-stage CNN classification and segmented data processing with adaptive channel selection. DAC 2022: 217-222 - [c25]Liang Chang, Chenglong Li, Xin Zhao, Shuisheng Lin, Jun Zhou:
IPOCIM: Artificial Intelligent Processor with Adaptive Ping-pong Computing-in-Memory Architecture. ICTA 2022: 190-191 - [c24]Weihang Li, Liang Chang, Jiajing Fan, Xin Zhao, Hengtan Zhang, Shuisheng Lin, Jun Zhou:
ReverSearch: Search-based energy-efficient Processing-in-Memory Architecture. ISCAS 2022: 409-413 - [c23]Liang Chang, Siqi Yang, Huinan Wang, Jianbo Xiao, Xin Zhao, Shuisheng Lin, Jun Zhou:
TDPRO: Ultra-low Power ECG Processor with High-Precision Time-Domain Computing Engine. ISCAS 2022: 3512-3516 - 2021
- [j9]Liang Chang, Chenglong Li, Zhaomin Zhang, Jianbiao Xiao
Energy-efficient computing-in-memory architecture for AI processor: device, circuit, architecture perspective. Sci. China Inf. Sci. 64(6) (2021) - [j8]Yin Wang, Yuxiang Xie, Jiayan Gan, Liang Chang, Chunbo Luo, Jun Zhou
A Weight Importance Analysis Technique for Area- and Power-Efficient Binary Weight Neural Network Processor Design. Cogn. Comput. 13(1): 179-188 (2021) - [j7]Luying Que, Teng Zhang, Hongtao Guo, Conghan Jia, Yuchuan Gong, Liang Chang
A Lightweight Pedestrian Detection Engine with Two-Stage Low-Complexity Detection Network and Adaptive Region Focusing Technique. Sensors 21(17): 5851 (2021) - [j6]Sixu Li
A Fast and Energy-Efficient SNN Processor With Adaptive Clock/Event-Driven Computation Scheme and Online Learning. IEEE Trans. Circuits Syst. I Regul. Pap. 68(4): 1543-1552 (2021) - [c22]Yuchuan Gong, Qingsong Liu, Luying Que, Conghan Jia, Jiahui Huang, Ye Liu, Jiayan Gan, Yuxiang Xie, Yong Zhou, Lili Liu, Xiaoqiang Xiang, Liang Chang, Jun Zhou:
RAODAT: An Energy-Efficient Reconfigurable AI-based Object Detection and Tracking Processor with Online Learning. A-SSCC 2021: 1-3 - [c21]Hongyan Li, Hang Lu, Jiawen Huang, Wenxu Wang, Mingzhe Zhang, Wei Chen, Liang Chang, Xiaowei Li
BitX: Empower Versatile Inference with Hardware Runtime Pruning. ICPP 2021: 15:1-15:12 - [c20]Liang Chang, Xin Zhao, Chenglong Li, Siqi Yang, Shuisheng Lin, Jun Zhou:
Towards Intelligent-Edge Computing: Application, Architecture, Circuit, and Device Perspective. ICTA 2021: 125-126 - [c19]Siqi Yang, Jiajing Fan, Jiahao Liu, Liang Chang, Shuisheng Lin, Jun Zhou:
A High Accuracy & Low Power EDR Estimation Processor for Wearable Devices. ICTA 2021: 133-134 - [c18]Liang Chang, Zixuan Zhu
Energy-Efficient Spin-Orbit Torque MRAM Operations for Neural Network Processor. ISCAS 2021: 1-5 - [c17]Kun Huang, Jingyuan Li, Ye Liu, Liang Chang, Jun Zhou:
A Survey on Feature Point Extraction Techniques. ISOCC 2021: 201-202 - [c16]Liang Chang, Chenglong Li, Xin Zhao, Zixuan Zhu
Trend of Emerging Non-Volatile Memory for AI Processor. ISOCC 2021: 223-224 - [c15]Jiahao Liu, Zhen Zhu
4.5 BioAIP: A Reconfigurable Biomedical AI Processor with Adaptive Learning for Versatile Intelligent Health Monitoring. ISSCC 2021: 62-64 - [c14]Hang Lu, Liang Chang, Chenglong Li, Zixuan Zhu
Distilling Bit-level Sparsity Parallelism for General Purpose Deep Learning Acceleration. MICRO 2021: 963-976 - [c13]Fei Wu
A Review of Convolutional Neural Networks Hardware Accelerators for AIoT Edge Computing. UCET 2021: 71-76 - 2020
- [j5]Lei Deng
SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(1): 117-130 (2020) - [c12]Ye Liu, Yin Wang, Liang Chang, Jun Zhou:
A Fast and Efficient FPGA-based Level Set Hardware Accelerator for Image Segmentation. ICTA 2020: 61-62 - [c11]Liang Chang, Zhaohao Wang, Yang Zhao, Youguang Zhang, Weisheng Zhao, Jun Zhou:
PRISM: Energy-Efficient Polymorphic Operation Based on Spin-Orbit Torque Memory for Reconfigurable Computing. ISCAS 2020: 1-5 - [c10]Liang Chang, Siqi Yang, Jiahao Liu, Jianbiao Xiao
Scalability Analysis and Modeling of XPoint-based MRAM. ISOCC 2020: 205-206
2010 – 2019
- 2019
- [j4]Liang Chang
Multi-Port 1R1W Transpose Magnetic Random Access Memory by Hierarchical Bit-Line Switching. IEEE Access 7: 110463-110471 (2019) - [j3]Liang Chang
DASM: Data-Streaming-Based Computing in Nonvolatile Memory Architecture for Embedded System. IEEE Trans. Very Large Scale Integr. Syst. 27(9): 2046-2059 (2019) - [j2]Liang Chang
PXNOR-BNN: In/With Spin-Orbit Torque MRAM Preset-XNOR Operation-Based Binary Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 27(11): 2668-2679 (2019) - [c9]Liang Chang, Xin Ma, Zhaohao Wang, Youguang Zhang, Weisheng Zhao, Yuan Xie:
CORN: In-Buffer Computing for Binary Neural Network. DATE 2019: 384-389 - [c8]Liang Chang, Zhaohao Wang, Youguang Zhang, Weisheng Zhao:
Ultra-fast and Energy-efficient Write-Computing Operation for Neuromorphic Computing. ISOCC 2019: 140-141 - 2018
- [c7]Zhaohao Wang, Zuwei Li, Yang Liu, Simin Li, Liang Chang
Progresses and challenges of spin orbit torque driven magnetization switching and application (Invited). ISCAS 2018: 1-5 - [i1]Xin Ma, Liang Chang, Shuangchen Li, Lei Deng, Yufei Ding, Yuan Xie:
In-memory multiplication engine with SOT-MRAM based stochastic computing. CoRR abs/1809.08358 (2018) - 2017
- [j1]Wang Kang, Liang Chang
Pseudo-Differential Sensing Framework for STT-MRAM: A Cross-Layer Perspective. IEEE Trans. Computers 66(3): 531-544 (2017) - [c6]Jiaqi Wei, Liang Chang
Ultrafast spintronic integrated circuits. ASICON 2017: 1021-1024 - [c5]Wang Kang, Liang Chang
Voltage-controlled MRAM for working memory: Perspectives and challenges. DATE 2017: 542-547 - [c4]Liang Chang
PRESCOTT: Preset-based cross-point architecture for spin-orbit-torque magnetic random access memory. ICCAD 2017: 245-252 - [c3]Liang Chang
Reconfigurable processing in memory architecture based on spin orbit torque. NANOARCH 2017: 95-96 - 2016
- [c2]Liang Chang, Zhaohao Wang, Yuqian Gao, Wang Kang, Youguang Zhang, Weisheng Zhao:
Evaluation of spin-Hall-assisted STT-MRAM for cache replacement. NANOARCH 2016: 73-78 - [c1]Qian Shi, Zhaohao Wang, Yuqian Gao, Liang Chang, Wang Kang, Youguang Zhang, Weisheng Zhao:
A spin Hall effect-based multi-level cell for MRAM. NANOARCH 2016: 143-144
Coauthor Index
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last updated on 2024-11-15 20:35 CET by the dblp team
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