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2020 – today
- 2022
[j55]Zhiyuan Xu
, Jian Tang, Chengxiang Yin, Yanzhi Wang, Guoliang Xue, Jing Wang, Mustafa Cenk Gursoy:
ReCARL: Resource Allocation in Cloud RANs With Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 21(7): 2533-2545 (2022)- [j54]Tianyun Zhang, Shaokai Ye, Xiaoyu Feng, Xiaolong Ma, Kaiqi Zhang, Zhengang Li, Jian Tang, Sijia Liu, Xue Lin, Yongpan Liu, Makan Fardad, Yanzhi Wang:
StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs. IEEE Trans. Neural Networks Learn. Syst. 33(5): 2259-2273 (2022) - [j53]Cheng Gong, Ye Lu, Kunpeng Xie, Zongming Jin, Tao Li, Yanzhi Wang:
Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks. IEEE Trans. Parallel Distributed Syst. 33(11): 3178-3193 (2022) - [c271]Nasim Soltani, Yanyu Li, Deniz Erdogmus, Yanzhi Wang, Kaushik R. Chowdhury:
NN-key: A Neural Network-Based Secret Key for Demapping OFDM Symbols. CCNC 2022: 847-852 - [c270]Zhiyu Chen, Qing Jin, Zhanghao Yu, Yanzhi Wang, Kaiyuan Yang:
DCT-RAM: A Driver-Free Process-In-Memory 8T SRAM Macro with Multi-Bit Charge-Domain Computation and Time-Domain Quantization. CICC 2022: 1-2 - [c269]Mengshu Sun, Sheng Lin, Shan Liu, Songnan Li, Yanzhi Wang, Wei Jiang, Wei Wang:
Hardware-Friendly Acceleration for Deep Neural Networks with Micro-Structured Compression. FCCM 2022: 1 - [c268]Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang:
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. ICML 2022: 3025-3039 - [c267]Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen:
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization. IJCAI 2022: 3236-3242 - [c266]Yanyu Li, Xuan Shen, Geng Yuan, Jiexiong Guan, Wei Niu, Hao Tang, Bin Ren, Yanzhi Wang:
Real-Time Portrait Stylization on the Edge. IJCAI 2022: 5928-5931 - [c265]Xiaolong Ma, Geng Yuan, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Ning Liu, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang:
BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning. ISQED 2022: 1-8 - [c264]Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Bin Ren, Yanzhi Wang, Shaoshan Liu, Xipeng Shen:
Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card. RTAS 2022: 297-300 - [i125]Mengshu Sun, Haoyu Ma, Guoliang Kang, Yifan Jiang, Tianlong Chen, Xiaolong Ma, Zhangyang Wang, Yanzhi Wang:
VAQF: Fully Automatic Software-hardware Co-design Framework for Low-bit Vision Transformer. CoRR abs/2201.06618 (2022) - [i124]Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang:
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. CoRR abs/2202.04736 (2022) - [i123]Qing Jin, Jian Ren, Richard Zhuang, Sumant Hanumante, Zhengang Li, Zhiyu Chen, Yanzhi Wang, Kaiyuan Yang, Sergey Tulyakov:
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization. CoRR abs/2202.05239 (2022) - [i122]Anu Jagannath, Jithin Jagannath, Yanzhi Wang, Tommaso Melodia:
Deep neural network goes lighter: A case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks. CoRR abs/2204.04390 (2022) - [i121]Nasim Soltani, Hai Cheng, Mauro Belgiovine, Yanyu Li, Haoqing Li, Bahar Azari, Salvatore D'Oro, Tales Imbiriba, Tommaso Melodia, Pau Closas, Yanzhi Wang, Deniz Erdogmus, Kaushik R. Chowdhury:
Neural Network-based OFDM Receiver for Resource Constrained IoT Devices. CoRR abs/2205.06159 (2022) - [i120]Yanyu Li, Geng Yuan, Yang Wen, Eric Hu, Georgios Evangelidis, Sergey Tulyakov, Yanzhi Wang, Jian Ren:
EfficientFormer: Vision Transformers at MobileNet Speed. CoRR abs/2206.01191 (2022) - [i119]Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen:
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization. CoRR abs/2206.01198 (2022) - [i118]Yanyu Li, Xuan Shen, Geng Yuan, Jiexiong Guan, Wei Niu, Hao Tang, Bin Ren, Yanzhi Wang:
Real-Time Portrait Stylization on the Edge. CoRR abs/2206.01244 (2022) - [i117]Xiaofeng Li, Bin Ren, Xipeng Shen, Yanzhi Wang:
CoCoPIE XGen: A Full-Stack AI-Oriented Optimizing Framework. CoRR abs/2206.10620 (2022) - [i116]David James Woo, Yanzhi Wang, Hengky Susanto:
Student-AI Creative Writing: Pedagogical Strategies for Applying Natural Language Generation in Schools. CoRR abs/2207.01484 (2022) - [i115]Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang:
Quantum Neural Network Compression. CoRR abs/2207.01578 (2022) - [i114]Kun Wu, Chengxiang Yin, Jian Tang, Zhiyuan Xu, Yanzhi Wang, Dejun Yang:
Continual Few-Shot Learning with Adversarial Class Storage. CoRR abs/2207.12303 (2022) - [i113]Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang:
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. CoRR abs/2207.12577 (2022) - 2021
- [j52]Zuoyi Chen, Yanzhi Wang, Jun Wu, Chao Deng, Kui Hu:
Sensor data-driven structural damage detection based on deep convolutional neural networks and continuous wavelet transform. Appl. Intell. 51(8): 5598-5609 (2021) - [j51]Hui Guan, Shaoshan Liu, Xiaolong Ma, Wei Niu, Bin Ren, Xipeng Shen, Yanzhi Wang, Pu Zhao:
CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design. Commun. ACM 64(6): 62-68 (2021) - [j50]Zhiyuan Xu, Kun Wu, Weiyi Zhang, Jian Tang, Yanzhi Wang, Guoliang Xue:
PnP-DRL: A Plug-and-Play Deep Reinforcement Learning Approach for Experience-Driven Networking. IEEE J. Sel. Areas Commun. 39(8): 2476-2486 (2021) - [j49]Zhiyu Chen, Zhanghao Yu, Qing Jin, Yan He, Jingyu Wang, Sheng Lin, Dai Li, Yanzhi Wang, Kaiyuan Yang:
CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference. IEEE J. Solid State Circuits 56(6): 1924-1935 (2021) - [j48]Jinshan Yue, Yongpan Liu, Ruoyang Liu, Wenyu Sun, Zhe Yuan, Yung-Ning Tu, Yi-Ju Chen, Ao Ren, Yanzhi Wang, Meng-Fan Chang, Xueqing Li, Huazhong Yang:
STICKER-T: An Energy-Efficient Neural Network Processor Using Block-Circulant Algorithm and Unified Frequency-Domain Acceleration. IEEE J. Solid State Circuits 56(6): 1936-1948 (2021) - [j47]Qin Li, Changlu Liu, Peiyan Dong, Yanming Zhang, Tong Li, Sheng Lin, Minda Yang, Fei Qiao, Yanzhi Wang, Li Luo, Huazhong Yang:
NS-FDN: Near-Sensor Processing Architecture of Feature-Configurable Distributed Network for Beyond-Real-Time Always-on Keyword Spotting. IEEE Trans. Circuits Syst. I Regul. Pap. 68(5): 1892-1905 (2021) - [j46]Yidong Liu, Siting Liu, Yanzhi Wang, Fabrizio Lombardi, Jie Han:
A Survey of Stochastic Computing Neural Networks for Machine Learning Applications. IEEE Trans. Neural Networks Learn. Syst. 32(7): 2809-2824 (2021) - [j45]Youwei Zhuo, Jingji Chen, Gengyu Rao, Qinyi Luo, Yanzhi Wang, Hailong Yang, Depei Qian, Xuehai Qian:
Distributed Graph Processing System and Processing-in-memory Architecture with Precise Loop-carried Dependency Guarantee. ACM Trans. Comput. Syst. 37(1-4): 5:1-5:37 (2021) - [j44]Zhiyuan Xu, Dejun Yang, Jian Tang, Yinan Tang, Tongtong Yuan, Yanzhi Wang, Guoliang Xue:
An Actor-Critic-Based Transfer Learning Framework for Experience-Driven Networking. IEEE/ACM Trans. Netw. 29(1): 360-371 (2021) - [c263]Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang:
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design. AAAI 2021: 955-963 - [c262]Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Sijia Liu, Xue Lin, Bin Ren:
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. AAAI 2021: 9179-9187 - [c261]Yuxuan Cai, Geng Yuan, Hongjia Li, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang:
A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices. AAAI 2021: 15997-16000 - [c260]Qin Li, Peiyan Dong, Zijie Yu, Changlu Liu, Fei Qiao, Yanzhi Wang, Huazhong Yang:
Puncturing the memory wall: Joint optimization of network compression with approximate memory for ASR application. ASP-DAC 2021: 505-511 - [c259]Hongjia Li, Geng Yuan, Wei Niu, Yuxuan Cai, Mengshu Sun, Zhengang Li, Bin Ren, Xue Lin, Yanzhi Wang:
Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications. ASP-DAC 2021: 581-586 - [c258]Qing Jin, Jian Ren, Oliver J. Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, Sergey Tulyakov:
Teachers Do More Than Teach: Compressing Image-to-Image Models. CVPR 2021: 13600-13611 - [c257]Zhengang Li, Geng Yuan, Wei Niu, Pu Zhao, Yanyu Li, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin:
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. CVPR 2021: 14255-14266 - [c256]Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Caiwen Ding, Makan Fardad, Yanzhi Wang:
A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods. DAC 2021: 493-498 - [c255]Pu Zhao, Geng Yuan, Yuxuan Cai, Wei Niu, Qi Liu, Wujie Wen, Bin Ren, Yanzhi Wang, Xue Lin:
Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles. DAC 2021: 835-840 - [c254]Geng Yuan, Payman Behnam, Yuxuan Cai, Ali Shafiee, Jingyan Fu, Zhiheng Liao, Zhengang Li, Xiaolong Ma, Jieren Deng, Jinhui Wang, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding:
TinyADC: Peripheral Circuit-aware Weight Pruning Framework for Mixed-signal DNN Accelerators. DATE 2021: 926-931 - [c253]Hongjia Li, Mengshu Sun, Tianyun Zhang, Olivia Chen, Nobuyuki Yoshikawa, Bei Yu, Yanzhi Wang, Yibo Lin:
Towards AQFP-Capable Physical Design Automation. DATE 2021: 954-959 - [c252]Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden K. H. So, Xuehai Qian, Yanzhi Wang, Xue Lin:
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework. HPCA 2021: 208-220 - [c251]Weizheng Xu, Ashutosh Pattnaik, Geng Yuan, Yanzhi Wang, Youtao Zhang, Xulong Tang:
ScaleDNN: Data Movement Aware DNN Training on Multi-GPU. ICCAD 2021: 1-9 - [c250]Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang:
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. ICCV 2021: 4801-4811 - [c249]Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin:
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. ICCV 2021: 5231-5240 - [c248]Fangxin Liu, Wenbo Zhao, Zhezhi He, Yanzhi Wang, Zongwu Wang, Changzhi Dai, Xiaoyao Liang, Li Jiang:
Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point. ICCV 2021: 5261-5270 - [c247]Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang:
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? ICML 2021: 7011-7020 - [c246]Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao:
ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. ICS 2021: 266-278 - [c245]Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang:
A Compression-Compilation Framework for On-mobile Real-time BERT Applications. IJCAI 2021: 5000-5003 - [c244]Xuan Shen, Geng Yuan, Wei Niu, Xiaolong Ma, Jiexiong Guan, Zhengang Li, Bin Ren, Yanzhi Wang:
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices. IJCAI 2021: 5012-5015 - [c243]Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding:
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. ISCA 2021: 265-278 - [c242]Zhiyu Chen, Qing Jin, Jingyu Wang, Yanzhi Wang, Kaiyuan Yang:
MC2-RAM: An In-8T-SRAM Computing Macro Featuring Multi-Bit Charge-Domain Computing and ADC-Reduction Weight Encoding. ISLPED 2021: 1-6 - [c241]Geng Yuan, Zhiheng Liao, Xiaolong Ma, Yuxuan Cai, Zhenglun Kong, Xuan Shen, Jingyan Fu, Zhengang Li, Chengming Zhang, Hongwu Peng, Ning Liu, Ao Ren, Jinhui Wang, Yanzhi Wang:
Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI. ISQED 2021: 135-141 - [c240]Teng Li, Zhiyuan Xu, Jian Tang, Kun Wu, Yanzhi Wang:
EXTRA: An Experience-driven Control Framework for Distributed Stream Data Processing with a Variable Number of Threads. IWQoS 2021: 1-11 - [c239]Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang:
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? NeurIPS 2021: 12749-12760 - [c238]Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin:
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. NeurIPS 2021: 20838-20850 - [c237]Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen:
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers. NeurIPS 2021: 28169-28181 - [c236]Wei Niu, Jiexiong Guan, Yanzhi Wang, Gagan Agrawal, Bin Ren:
DNNFusion: accelerating deep neural networks execution with advanced operator fusion. PLDI 2021: 883-898 - [c235]Jinliang Xie, Jie Tang, Yanzhi Wang, Qi Zhu, Shaoshan Liu:
Brief Industry Paper: An Infrastructure-Aided High Definition Map Data Provisioning Service for Autonomous Driving. RTAS 2021: 421-424 - [c234]Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Shaoshan Liu, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin:
Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search. RTAS 2021: 425-428 - [c233]Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang:
Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. RTAS 2021: 493-496 - [i112]Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang:
Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon? CoRR abs/2102.11068 (2021) - [i111]Qing Jin, Jian Ren, Oliver J. Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, Sergey Tulyakov:
Teachers Do More Than Teach: Compressing Image-to-Image Models. CoRR abs/2103.03467 (2021) - [i110]Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang:
A Compression-Compilation Framework for On-mobile Real-time BERT Applications. CoRR abs/2106.00526 (2021) - [i109]Sheng Lin, Wei Jiang, Wei Wang, Kaidi Xu, Yanzhi Wang, Shan Liu, Songnan Li:
Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression. CoRR abs/2106.08301 (2021) - [i108]Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding:
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. CoRR abs/2106.09144 (2021) - [i107]Geng Yuan, Zhiheng Liao, Xiaolong Ma, Yuxuan Cai, Zhenglun Kong, Xuan Shen, Jingyan Fu, Zhengang Li, Chengming Zhang, Hongwu Peng, Ning Liu, Ao Ren, Jinhui Wang, Yanzhi Wang:
Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI. CoRR abs/2106.09166 (2021) - [i106]Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie:
Effective Model Sparsification by Scheduled Grow-and-Prune Methods. CoRR abs/2106.09857 (2021) - [i105]Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Bin Ren, Yanzhi Wang, Xue Lin:
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search. CoRR abs/2106.14943 (2021) - [i104]Xuan Shen, Geng Yuan, Wei Niu, Xiaolong Ma, Jiexiong Guan, Zhengang Li, Bin Ren, Yanzhi Wang:
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices. CoRR abs/2106.15304 (2021) - [i103]Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang:
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? CoRR abs/2107.00166 (2021) - [i102]Zhiyu Chen, Zhanghao Yu, Qing Jin, Yan He, Jingyu Wang, Sheng Lin, Dai Li, Yanzhi Wang, Kaiyuan Yang:
CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference. CoRR abs/2107.02388 (2021) - [i101]Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang:
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. CoRR abs/2108.08910 (2021) - [i100]Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren:
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity. CoRR abs/2108.11033 (2021) - [i99]Wei Niu, Jiexiong Guan, Yanzhi Wang, Gagan Agrawal, Bin Ren:
DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion. CoRR abs/2108.13342 (2021) - [i98]Cheng Gong, Ye Lu, Kunpeng Xie, Zongming Jin, Tao Li, Yanzhi Wang:
Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks. CoRR abs/2109.03513 (2021) - [i97]Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Shaoshan Liu, Bin Ren, Yanzhi Wang, Xipeng Shen:
Enabling Level-4 Autonomous Driving on a Single 1 Off-the-Shelf Card. CoRR abs/2110.06373 (2021) - [i96]Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin:
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. CoRR abs/2110.14032 (2021) - [i95]Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen:
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers. CoRR abs/2110.14120 (2021) - [i94]Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin:
RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. CoRR abs/2111.00153 (2021) - [i93]Sung-En Chang, Yanyu Li, Mengshu Sun, Yanzhi Wang, Xue Lin:
ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA. CoRR abs/2111.00155 (2021) - [i92]Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang:
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. CoRR abs/2111.11581 (2021) - [i91]Minghai Qin, Tianyun Zhang, Fei Sun, Yen-Kuang Chen, Makan Fardad, Yanzhi Wang, Yuan Xie:
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting. CoRR abs/2112.10930 (2021) - [i90]Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Bin Ren, Minghai Qin, Hao Tang, Yanzhi Wang:
SPViT: Enabling Faster Vision Transformers via Soft Token Pruning. CoRR abs/2112.13890 (2021) - 2020
- [j43]Burak Kakillioglu, Ao Ren, Yanzhi Wang, Senem Velipasalar:
3D Capsule Networks for Object Classification With Weight Pruning. IEEE Access 8: 27393-27405 (2020) - [j42]Yiran Chen, Deliang Fan, Yanzhi Wang, Shigeru Yamashita:
Editorial for the special issue on disruptive computing technologies. CCF Trans. High Perform. Comput. 2(3): 209-210 (2020) - [j41]Xuehai Qian, Yanzhi Wang, Avinash Karanth:
Guest Editors' Introduction to the Special Issue on Machine Learning Architectures and Accelerators. IEEE Trans. Computers 69(7): 929-930 (2020) - [j40]Yukui Luo, Wenhao Wang, Scott Best, Yanzhi Wang, Xiaolin Xu:
A High-Performance and Secure TRNG Based on Chaotic Cellular Automata Topology. IEEE Trans. Circuits Syst. 67-I(12): 4970-4983 (2020) - [j39]Chengxiang Yin, Jian Tang, Zhiyuan Xu, Yanzhi Wang:
Memory Augmented Deep Recurrent Neural Network for Video Question Answering. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3159-3167 (2020) - [c232]Masuma Akter Rumi, Xiaolong Ma, Yanzhi Wang, Peng Jiang:
Accelerating Sparse CNN Inference on GPUs with Performance-Aware Weight Pruning. PACT 2020: 267-278 - [c231]Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye:
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. AAAI 2020: 4876-4883 - [c230]Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang:
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. AAAI 2020: 5117-5124 - [c229]Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-Kuang Chen, Yuan Xie, Yanzhi Wang:
DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks. AAAI 2020: 5495-5502 - [c228]Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan:
Embedding Compression with Isotropic Iterative Quantization. AAAI 2020: 8336-8343 - [c227]Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang:
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. ASP-DAC 2020: 301-306 - [c226]Xiaolong Ma, Zhe Li, Hongjia Li, Qiyuan An, Qinru Qiu, Wenyao Xu, Yanzhi Wang:
Database and Benchmark for Early-stage Malicious Activity Detection in 3D Printing. ASP-DAC 2020: 494-499 - [c225]Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren:
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. ASPLOS 2020: 907-922 - [c224]Chaoqun Chu, Yanzhi Wang, Yilong Zhao, Xiaolong Ma, Shaokai Ye, Yunyan Hong, Xiaoyao Liang, Yinhe Han, Li Jiang:
PIM-Prune: Fine-Grain DCNN Pruning for Crossbar-Based Process-In-Memory Architecture. DAC 2020: 1-6 - [c223]Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma:
PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators. DAC 2020: 1-6 - [c222]Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen:
AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency. DATE 2020: 951-956 - [c221]Yawen Zhang, Sheng Lin, Runsheng Wang, Yanzhi Wang, Yuan Wang, Weikang Qian, Ru Huang:
When Sorting Network Meets Parallel Bitstreams: A Fault-Tolerant Parallel Ternary Neural Network Accelerator based on Stochastic Computing. DATE 2020: 1287-1290 - [c220]Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang:
An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. ECCV (13) 2020: 629-645 - [c219]Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin:
Adversarial T-Shirt! Evading Person Detectors in a Physical World. ECCV (5) 2020: 665-681 - [c218]