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2020 – today
- 2023
[j38]Zhan Li
, Chunxia Zhang, Yongqin Zhang, Xiaofeng Wang, Xiaolong Ma, Hai Zhang, Songdi Wu:
CAN: Context-assisted full Attention Network for brain tissue segmentation. Medical Image Anal. 85: 102710 (2023)- [j37]Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Vasily Tarasov, Dimitrios Skourtis, Feng Yan, Yue Cheng:
InfiniStore: Elastic Serverless Cloud Storage. Proc. VLDB Endow. 16(7): 1629-1642 (2023) - [j36]Yuan Yuan, Congxiao Wang, Shaoyang Liu, Zuoqi Chen, Xiaolong Ma, Wei Li, Lingxian Zhang, Bailang Yu:
The Changes in Nighttime Lights Caused by the Turkey-Syria Earthquake Using NOAA-20 VIIRS Day/Night Band Data. Remote. Sens. 15(13): 3438 (2023) - [j35]Shasha Hou, Guo Zhang, Hao Cui, Xue Li, Yujia Chen, Haifeng Li, Huabin Wang, Xiaolong Ma:
Stable Prototype-Guided Single-Temporal Supervised Learning for Change Detection and Extraction of Building. IEEE Trans. Geosci. Remote. Sens. 61: 1-22 (2023) - [j34]Brandon Scott Taysom, Xiaolong Ma, Scott Whalen:
In situ temperature measurement of a deforming interface with thermoelectricity. Trans. Inst. Meas. Control 45(14): 2771-2778 (2023) - [j33]Yanli Sun, Hua Wang, Wei Quan, Xiaolong Ma, Zhimin Tao, Mireille Elhajj, Washington Yotto Ochieng:
Smart Road Stud-Empowered Vehicle Magnetic Field Distribution and Vehicle Detection. IEEE Trans. Intell. Transp. Syst. 24(7): 7357-7362 (2023) - [c71]Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang:
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. AAAI 2023: 8360-8368 - [c70]Gen Li, Jie Ji, Minghai Qin, Wei Niu, Bin Ren, Fatemeh Afghah, Linke Guo, Xiaolong Ma:
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting. CVPR 2023: 10259-10269 - [c69]Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang:
ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training. DATE 2023: 1-6 - [c68]Jieji Yu, Xiaolong Ma, Xuanyi Zhou, Guanjun Bao:
Modeling of Soft Fingertip for Precise Sliding Prediction. ICARM 2023: 1107-1112 - [c67]Changqu Wu, Zhuang Wang, Yuqiu Zhang, Xiaolong Ma, Hailiang Meng, Guanjun Bao:
Dexterous Hand-Object Interaction Control Based on Adaptive Impedance Algorithm. ICIRA (3) 2023: 3-14 - [c66]Xiaolong Ma, Zhenwu Guo, Yangqing Ye, Guanjun Bao:
Soft Fingertip with Sensor Integrated for Continuous In-hand Manipulation. ICIRA (2) 2023: 597-607 - [c65]Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku:
Rethinking Graph Lottery Tickets: Graph Sparsity Matters. ICLR 2023 - [c64]Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang:
Data Level Lottery Ticket Hypothesis for Vision Transformers. IJCAI 2023: 1378-1386 - [i44]Gen Li, Jie Ji, Minghai Qin, Wei Niu, Bin Ren, Fatemeh Afghah, Linke Guo, Xiaolong Ma:
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting. CoRR abs/2303.08331 (2023) - [i43]Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku:
Rethinking Graph Lottery Tickets: Graph Sparsity Matters. CoRR abs/2305.02190 (2023) - [i42]Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu:
Dynamic Sparsity Is Channel-Level Sparsity Learner. CoRR abs/2305.19454 (2023) - 2022
- [j32]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. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6224-6239 (2022) - [j31]Hui Zhao, Sicong Liu, Qian Du, Lorenzo Bruzzone, Yongjie Zheng, Kecheng Du, Xiaohua Tong, Huan Xie, Xiaolong Ma:
GCFnet: Global Collaborative Fusion Network for Multispectral and Panchromatic Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j30]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) - [j29]Xiaolong Ma, Sheng Lin, Shaokai Ye, Zhezhi He, Linfeng Zhang, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma, Yanzhi Wang:
Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? IEEE Trans. Neural Networks Learn. Syst. 33(9): 4930-4944 (2022) - [c63]Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung:
CHEX: CHannel EXploration for CNN Model Compression. CVPR 2022: 12277-12288 - [c62]Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang:
Hardware-efficient stochastic rounding unit design for DNN training: late breaking results. DAC 2022: 1396-1397 - [c61]Siyue Wang, Geng Yuan, Xiaolong Ma, Yanyu Li, Xue Lin, Bhavya Kailkhura:
Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems. DATE 2022: 424-429 - [c60]Geng Yuan, Sung-En Chang, Qing Jin, Alec Lu, Yanyu Li, Yushu Wu, Zhenglun Kong, Yanyue Xie, Peiyan Dong, Minghai Qin, Xiaolong Ma, Xulong Tang, Zhenman Fang, Yanzhi Wang:
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding. ECCV (12) 2022: 34-51 - [c59]Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Xuan Shen, Geng Yuan, Bin Ren, Hao Tang, Minghai Qin, Yanzhi Wang:
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning. ECCV (11) 2022: 620-640 - [c58]Mengshu Sun, Zhengang Li, Alec Lu, Yanyu Li, Sung-En Chang, Xiaolong Ma, Xue Lin, Zhenman Fang:
FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization. FPGA 2022: 134-145 - [c57]Huaiwu Zou, Lujiang Liu, Meng Chen, Xiaolong Ma, Haoran Tao, Bingshan Hu:
Simulation of Model Reference Adaptive Compliance Control Based on Environmental Stiffness Parameter Identification. ICIRA (1) 2022: 705-715 - [c56]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. ICLR 2022 - [c55]Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang:
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. ICML 2022: 3025-3039 - [c54]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 - [c53]Bingyao Li, Qi Xue, Geng Yuan, Sheng Li, Xiaolong Ma, Yanzhi Wang, Xulong Tang:
Optimizing Data Layout for Training Deep Neural Networks. WWW (Companion Volume) 2022: 548-554 - [i41]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) - [i40]Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang:
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. CoRR abs/2202.04736 (2022) - [i39]Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung:
CHEX: CHannel EXploration for CNN Model Compression. CoRR abs/2203.15794 (2022) - [i38]Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng:
Sion: Elastic Serverless Cloud Storage. CoRR abs/2209.01496 (2022) - [i37]Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang:
The Lottery Ticket Hypothesis for Vision Transformers. CoRR abs/2211.01484 (2022) - [i36]Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang:
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. CoRR abs/2211.10801 (2022) - 2021
- [j28]Chuan Xie, Zhizhong Wang, Haibo Chen, Xiaolong Ma, Wei Xing, Lei Zhao, Wei Song, Zhijie Lin:
Image Style Transfer Algorithm Based on Semantic Segmentation. IEEE Access 9: 54518-54529 (2021) - [j27]Chuan Xie, Zhizhong Wang, Haibo Chen, Xiaolong Ma, Wei Xing, Lei Zhao, Zhijie Lin:
Real-Time High Realistic Web Display Method of Complex 3D Model. IEEE Access 9: 62562-62573 (2021) - [j26]Qiong Lu, Zhizhong Wang, Haibo Chen, Chuan Xie, Xiaolong Ma, Wei Xing, Lei Zhao, Zhijie Lin:
Corrections to "Real-Time High Realistic Web Display Method of Complex 3D Model". IEEE Access 9: 65173 (2021) - [j25]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) - [j24]Dongfang Ma, Jiawang Xiao, Xiaolong Ma:
A decentralized model predictive traffic signal control method with fixed phase sequence for urban networks. J. Intell. Transp. Syst. 25(5): 455-468 (2021) - [j23]Yongzhong Fu, Xiaolong Ma, Hang Zhou:
Automatic detection of multi-crossing crack defects in multi-crystalline solar cells based on machine vision. Mach. Vis. Appl. 32(3): 60 (2021) - [j22]Xiaolong Ma, Yangqing Ye, Hailiang Meng, Wenbiao Wang, Weidong Wang, Guanjun Bao:
Sensor Embedded Soft Fingertip for Precise Manipulation and Softness Recognition. IEEE Robotics Autom. Lett. 6(4): 8734-8741 (2021) - [j21]Dongfang Ma, Jiawang Xiao, Xiang Song, Xiaolong Ma, Sheng Jin:
A Back-Pressure-Based Model With Fixed Phase Sequences for Traffic Signal Optimization Under Oversaturated Networks. IEEE Trans. Intell. Transp. Syst. 22(9): 5577-5588 (2021) - [c52]Xiaolong Ma, Linqi Ye, Houde Liu, Xueqian Wang, Bin Liang:
Smooth Static Walking for Quadruped Robots based on the Lemniscate of Gerono. CASE 2021: 948-955 - [c51]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 - [c50]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 - [c49]Ning Li, Xiaolong Ma, Chongfeng Zhang, Huaiwu Zou, Feng Li:
Toolkit for Dynamic Control Rapid Prototype Simulation System of Robots Applied in Space Experimental Cabin. ICIRA (4) 2021: 417-427 - [c48]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 - [c47]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 - [c46]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 - [c45]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 - [c44]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 - [c43]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 - [i35]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) - [i34]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) - [i33]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) - [i32]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) - [i31]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) - [i30]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) - [i29]Henry Kvinge, Colby Wight, Sarah Akers, Scott Howland, Woongjo Choi, Xiaolong Ma, Luke J. Gosink, Elizabeth Jurrus, Keerti Kappagantula, Tegan H. Emerson:
A Topological-Framework to Improve Analysis of Machine Learning Model Performance. CoRR abs/2107.04714 (2021) - [i28]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) - [i27]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) - [i26]Fei Sun, Minghai Qin, Tianyun Zhang, Xiaolong Ma, Haoran Li, Junwen Luo, Zihao Zhao, Yen-Kuang Chen, Yuan Xie:
Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks. CoRR abs/2112.10898 (2021) - [i25]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
- [j20]Sicong Liu, Qing Hu, Xiaohua Tong, Junshi Xia, Qian Du, Alim Samat, Xiaolong Ma:
A Multi-Scale Superpixel-Guided Filter Feature Extraction and Selection Approach for Classification of Very-High-Resolution Remotely Sensed Imagery. Remote. Sens. 12(5): 862 (2020) - [c42]Masuma Akter Rumi, Xiaolong Ma, Yanzhi Wang, Peng Jiang:
Accelerating Sparse CNN Inference on GPUs with Performance-Aware Weight Pruning. PACT 2020: 267-278 - [c41]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 - [c40]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 - [c39]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 - [c38]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 - [c37]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 - [c36]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 - [c35]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 - [c34]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 - [c33]Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng:
InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. FAST 2020: 267-281 - [c32]Yifan Gong, Zheng Zhan, Zhengang Li, Wei Niu, Xiaolong Ma, Wenhao Wang, Bin Ren, Caiwen Ding, Xue Lin, Xiaolin Xu, Yanzhi Wang:
A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework. ACM Great Lakes Symposium on VLSI 2020: 119-124 - [c31]Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden Kwok-Hay So, Martin C. Herbordt, Ang Li, Yanzhi Wang:
CSB-RNN: a faster-than-realtime RNN acceleration framework with compressed structured blocks. ICS 2020: 24:1-24:12 - [c30]Geng Yuan, Xiaolong Ma, Sheng Lin, Zhengang Li, Jieren Deng, Caiwen Ding:
A DNN Compression Framework for SOT-MRAM-based Processing-In-Memory Engine. SoCC 2020: 37-42 - [i24]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. CoRR abs/2001.00138 (2020) - [i23]Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Fu-Ming Guo, Sheng Lin, Hongjia Li, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang:
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices. CoRR abs/2001.07710 (2020) - [i22]Xiaolong Ma, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang:
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method. CoRR abs/2001.08357 (2020) - [i21]Zhengang Li, Yifan Gong, Xiaolong Ma, Sijia Liu, Mengshu Sun, Zheng Zhan, Zhenglun Kong, Geng Yuan, Yanzhi Wang:
SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency. CoRR abs/2001.08839 (2020) - [i20]Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng:
InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. CoRR abs/2001.10483 (2020) - [i19]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. CoRR abs/2002.04997 (2020) - [i18]Zheng Zhan, Yifan Gong, Zhengang Li, Pu Zhao, Xiaolong Ma, Wei Niu, Xiaolin Xu, Bin Ren, Yanzhi Wang, Xue Lin:
A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework. CoRR abs/2003.06513 (2020) - [i17]Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Minghai Qin, Fei Sun, Yen-Kuang Chen, Caiwen Ding, Makan Fardad, Yanzhi Wang:
A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods. CoRR abs/2004.05531 (2020) - [i16]Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden Kwok-Hay So, Martin C. Herbordt, Ang Li, Yanzhi Wang:
CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks. CoRR abs/2005.05758 (2020)
2010 – 2019
- 2019
- [j19]Xiaolong Ma, Yonghui Dai, Weining Tang, Guowei Li, Shengqi Lu:
Research on user acceptance behaviour of mobile group intelligent sensing applications based on UTAUT. Int. J. Embed. Syst. 11(5): 653-660 (2019) - [j18]Guohua Qu, Tianjiao Li, Weihua Qu, Ling Xu, Xiaolong Ma:
Algorithms for regret theory and group satisfaction degree under interval-valued dual hesitant fuzzy sets in stochastic multiple attribute decision making method. J. Intell. Fuzzy Syst. 37(3): 3639-3653 (2019) - [j17]Xiaolong Ma, Chengming Li, Xiaohua Tong, Sicong Liu:
A New Fusion Approach for Extracting Urban Built-up Areas from Multisource Remotely Sensed Data. Remote. Sens. 11(21): 2516 (2019) - [c29]Hongjia Li, Ning Liu, Xiaolong Ma, Sheng Lin, Shaokai Ye, Tianyun Zhang, Xue Lin, Wenyao Xu, Yanzhi Wang:
ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices. ACM Great Lakes Symposium on VLSI 2019: 501-506 - [c28]Zhe Li, Xiaolong Ma, Ji Li, Qinru Qiu, Yanzhi Wang:
Efficient Cloud Resource Management using Neuromorphic Modeling and Prediction for Virtual Machine Resource Utilization. ICESS 2019: 1-8 - [c27]Zuo Wang, Du Chigan, Xiaolong Ma, Guotu Liu, Jianbei Liu, Chaojie Zhao:
Car-Following Behavior of Coach Bus Based on Naturalistic Driving Experiments in Urban Roads. ISCAS 2019: 1-4 - [c26]Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang:
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM. ISLPED 2019: 1-6 - [c25]Ruizhe Cai, Xiaolong Ma, Olivia Chen, Ao Ren, Ning Liu, Nobuyuki Yoshikawa, Yanzhi Wang:
IDE Development, Logic Synthesis and Buffer/Splitter Insertion Framework for Adiabatic Quantum-Flux-Parametron Superconducting Circuits. ISVLSI 2019: 187-192 - [c24]Xiaolong Ma, Chengming Li, Xiaohua Tong, Sicong Liu, Shouzhu Zheng:
A Novel "Ghost City" Phenomenon Identification Approach Based on Multi-source and Multitemporal Remote Sensing Data. MultiTemp 2019: 1-4 - [c23]Xiaolong Ma, Geng Yuan, Sheng Lin, Zhengang Li, Hao Sun, Yanzhi Wang:
ResNet Can Be Pruned 60×: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning. NANOARCH 2019: 1-2 - [i15]Shaokai Ye, Xiaoyu Feng, Tianyun Zhang, Xiaolong Ma, Sheng Lin, Zhengang Li, Kaidi Xu, Wujie Wen, Sijia Liu, Jian Tang, Makan Fardad, Xue Lin, Yongpan Liu, Yanzhi Wang:
Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM. CoRR abs/1903.09769 (2019) - [i14]Xiaolong Ma, Geng Yuan, Sheng Lin, Zhengang Li, Hao Sun, Yanzhi Wang:
ResNet Can Be Pruned 60x: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning. CoRR abs/1905.00136 (2019) - [i13]Wei Niu, Xiaolong Ma, Yanzhi Wang, Bin Ren:
26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone. CoRR abs/1905.00571 (2019) - [i12]Sheng Lin, Xiaolong Ma, Shaokai Ye, Geng Yuan, Kaisheng Ma, Yanzhi Wang:
Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM. CoRR abs/1905.00789 (2019) - [i11]Yanzhi Wang, Shaokai Ye, Zhezhi He, Xiaolong Ma, Linfeng Zhang, Sheng Lin, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma:
Non-structured DNN Weight Pruning Considered Harmful. CoRR abs/1907.02124 (2019) - [i10]Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye:
AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. CoRR abs/1907.03141 (2019) - [i9]