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ORCIDLi Liu 0036
Person information
- affiliation: Shenzhen Research Institute of Big Data, China
- affiliation (PhD 2018): University Grenoble-Alpes, GIPSA-lab, Grenoble, France
Other persons with the same name
- Li Liu — disambiguation page
- Li Liu 0001
![[0000-0002-4776-5292]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4776-5292")
— Chongqing University, School of Software Engineering, China (and 3 more) - Li Liu 0002 — University of Oulu, Center for Machine Vision and Signal Analysis, Oulu, Finland (and 3 more)
- Li Liu 0003 — Umea University, Sweden
- Li Liu 0004 — Inception Institute of Artificial Intelligence, Abu Dhabi, UAE (and 6 more)
- Li Liu 0005 — The University of Sydney, Australia
- Li Liu 0006 — Zheijiang University, Hangzhou, China
- Li Liu 0007 — Controls-Common Cummins Inc., Columbus, IN, USA
- Li Liu 0008 — Arizona State University, Tempe, AZ, USA (and 1 more)
- Li Liu 0009 — FutureWei Technologies, CA, USA (and 1 more)
- Li Liu 0010 — University of Shanghai for Science and Technology, Engineering Research Center of Optical Instrument and System, China (and 1 more)
- Li Liu 0011 — University of Science and Technology, Beijing, China
- Li Liu 0012 — University of California, Irvine, CA, USA
- Li Liu 0013 — Dalian University of Technology, School of Software, Dalian, China (and 1 more)
- Li Liu 0014 — Huazhong University of Science and Technology, Wuhan, China
- Li Liu 0015 — Beijing Normal University, China
- Li Liu 0016 — California State University, Department of Computer Science, Northridge, CA, USA (and 3 more)
- Li Liu 0017 — Chinese University of Hong Kong, Department of Electronic Engineering, Robotics, Perception, and Artificial Intelligence Lab, Hong Kong (and 3 more)
- Li Liu 0018 — Nanyang Technology University, Singapore
- Li Liu 0019 (aka: Li Michael Liu) — Peking University, China (and 1 more)
- Li Liu 0020 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Li Liu 0021 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Li Liu 0022 — Hohai University, Department of Information and Communication Systems, Changzhou, China
- Li Liu 0023 — Shanghai University, School of Mechatronic Engineering and Automation, China (and 1 more)
- Li Liu 0024 — Tianjin University, School of Electronics and Information Engineering, China (and 1 more)
- Li Liu 0026 — University of Science and Technology Beijing, School of Automation and Electrical Engineering, China
- Li Liu 0027 — Hefei University of Technology, School of Mathematics, China
- Li Liu 0028 — Soochow University, Suzhou, Jiangsu, China (and 1 more)
- Li Liu 0029 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China (and 1 more)
- Li Liu 0030 — Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Computational Intelligence, China (and 2 more)
- Li Liu 0031 — Shandong Normal University, School of Information Science and Engineering, Jinan, China
- Li Liu 0032 — Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Computer Technology Application Key Lab of Yunnan Province, Kunming, China (and 1 more)
- Li Liu 0033 — University of Technology, Faculty of Engineering and Information Technology, Sydney, Australia
- Li Liu 0034 — Taiyuan University of Technology, College of Physics and Optoelectronics, Taiyuan, China
- Li Liu 0035 — Arizona State University, College of Health Solutions, Biodesign Institute, Tempe, AZ, USA (and 1 more)
- Li Liu 0037 — Worcester Polytechnic Institute, Department of Biomedical Engineering, Worcester, MA, USA
- Li Liu 0038 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- Li Liu 0039 — University of Michigan, Department of Aerospace Engineering, Ann Arbor, MI, USA
- Li Liu 0040 — Shenzhen University, College of Electron and Information Engineering, China
- Li Liu 0041 — Changsha University of Science and Technology, School of Computer and Communication Engineering, Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, Changsha, China
- Li Liu 0042 — University of New South Wales, School of Civil & Environmental Engineering, Sydney, Australia
- Li Liu 0043 — Beijing University of Posts and Telecommunications, School of Science, State Key Laboratory of Networking and Switching Technology, Beijing, China
- Li Liu 0044 — China Centre for Resources Satellite Data and Application, Beijing, China
- Li Liu 0045 — George Mason University, Fairfax, VA, USA
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Journal Articles
- 2024
[j11]Zijian Gao, Kele Xu, Huiping Zhuang, Li Liu, Xinjun Mao, Bo Ding, Dawei Feng, Huaimin Wang:
Less confidence, less forgetting: Learning with a humbler teacher in exemplar-free Class-Incremental learning. Neural Networks 179: 106513 (2024)- [j10]Lei Liu, Li Liu, Haizhou Li:
Computation and Parameter Efficient Multi-Modal Fusion Transformer for Cued Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1559-1572 (2024) - [j9]Yuanhong Zhang, Weizhan Zhang, Haipeng Du, Caixia Yan, Li Liu, Qinghua Zheng:
FHVAC: Feature-Level Hybrid Video Adaptive Configuration for Machine-Centric Live Streaming. IEEE Trans. Parallel Distributed Syst. 35(5): 780-795 (2024) - 2023
- [j8]Chunhui Zhang, Guanjie Huang, Li Liu, Shan Huang, Yinan Yang, Xiang Wan, Shiming Ge, Dacheng Tao:
WebUAV-3M: A Benchmark for Unveiling the Power of Million-Scale Deep UAV Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9186-9205 (2023) - [j7]Yixiong Chen, Chunhui Zhang, Chris H. Q. Ding, Li Liu:
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning. IEEE Trans. Medical Imaging 42(5): 1388-1400 (2023) - 2021
- [j6]Li Liu, Xiangli Xu:
Research on distributed logistics scheduling method for workshop production based on hybrid particle swarm optimisation. Int. J. Manuf. Technol. Manag. 35(3): 234-250 (2021) - [j5]Chao Li, Jun Sun, Li Liu, Vasile Palade:
A hybrid framework for brain tissue segmentation in magnetic resonance images. Int. J. Imaging Syst. Technol. 31(4): 2305-2321 (2021) - [j4]Li Liu, Gang Feng, Denis Beautemps, Xiao-Ping Zhang:
Re-Synchronization Using the Hand Preceding Model for Multi-Modal Fusion in Automatic Continuous Cued Speech Recognition. IEEE Trans. Multim. 23: 292-305 (2021) - 2019
- [j3]Qidong Chen, Jun Sun, Vasile Palade, Xiaoqian Shi, Li Liu:
Hierarchical Clustering Based Band Selection Algorithm for Hyperspectral Face Recognition. IEEE Access 7: 24333-24342 (2019) - 2017
- [j2]Li Liu, Gang Feng, Denis Beautemps:
Inner lips feature extraction based on CLNF with hybrid dynamic template for Cued Speech. EURASIP J. Image Video Process. 2017: 88 (2017) - 2016
- [j1]Maolong Xi, Jun Sun, Li Liu, Fangyun Fan, Xiaojun Wu:
Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine. Comput. Math. Methods Medicine 2016: 3572705:1-3572705:9 (2016)
Conference and Workshop Papers
- 2023
- [c23]Taoyong Cui, Jianze Li, Yuhan Dong, Li Liu:
TAOTF: A Two-Stage Approximately Orthogonal Training Framework in Deep Neural Networks. ECAI 2023: 509-516 - [c22]Wentao Lei, Lei Liu, Li Liu:
Spatio-Temporal Structure Consistency for Semi-Supervised Medical Image Classification. ICASSP 2023: 1-5 - [c21]Lufei Gao, Shan Huang, Li Liu:
A Novel Interpretable and Generalizable Re-synchronization Model for Cued Speech based on a Multi-Cuer Corpus. INTERSPEECH 2023: 3407-3411 - [c20]Yixiong Chen, Li Liu, Jingxian Li, Hua Jiang, Chris Ding, Zongwei Zhou:
MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical Imaging. MICCAI (1) 2023: 706-716 - [c19]Chunhui Zhang, Xin Sun, Yiqian Yang, Li Liu, Qiong Liu, Xi Zhou, Yanfeng Wang:
All in One: Exploring Unified Vision-Language Tracking with Multi-Modal Alignment. ACM Multimedia 2023: 5552-5561 - [c18]Penghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng:
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. SIGIR 2023: 3037-3046 - 2022
- [c17]Chunhui Zhang, Yixiong Chen, Li Liu, Qiong Liu, Xi Zhou:
HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraining. ACCV (6) 2022: 3-20 - [c16]Andrey Ignatov, Radu Timofte, Cheng-Ming Chiang, Hsien-Kai Kuo, Yu-Syuan Xu, Man-Yu Lee, Allen Lu, Chia-Ming Cheng, Chih-Cheng Chen, Jia-Ying Yong, Hong-Han Shuai, Wen-Huang Cheng, Zhuang Jia, Tianyu Xu, Yijian Zhang, Long Bao, Heng Sun, Diankai Zhang, Si Gao, Shaoli Liu, Biao Wu, Xiaofeng Zhang, Chengjian Zheng, Kaidi Lu, Ning Wang, Xiao Sun, Haodong Wu, Xuncheng Liu, Weizhan Zhang, Caixia Yan, Haipeng Du, Qinghua Zheng, Qi Wang, Wangdu Chen, Ran Duan, Mengdi Sun, Dan Zhu, Guannan Chen, Hojin Cho, Steve Kim, Shijie Yue, Chenghua Li, Zhengyang Zhuge, Wei Chen, Wenxu Wang, Yufeng Zhou, Xiaochen Cai, Hengxing Cai, Kele Xu, Li Liu, Zehua Cheng, Wenyi Lian, Wenjing Lian:
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 130-152 - [c15]Runkai Zheng, Rongjun Tang, Jianze Li, Li Liu:
Data-Free Backdoor Removal Based on Channel Lipschitzness. ECCV (5) 2022: 175-191 - [c14]Li Liu, Gang Feng, Xiaoxi Ren, Xianping Ma:
Objective Hand Complexity Comparison between Two Mandarin Chinese Cued Speech Systems. ISCSLP 2022: 215-219 - [c13]Runkai Zheng, Rongjun Tang, Jianze Li, Li Liu:
Pre-activation Distributions Expose Backdoor Neurons. NeurIPS 2022 - 2021
- [c12]Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhen-Hua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed S. Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu:
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738 - [c11]Lufei Gao, Ruisong Zhou, Changfeng Dong, Cheng Feng, Zhen Li, Xiang Wan, Li Liu:
Multi-Modal Active Learning For Automatic Liver Fibrosis Diagnosis Based On Ultrasound Shear Wave Elastography. ISBI 2021: 410-414 - [c10]Yixiong Chen, Chunhui Zhang, Li Liu, Cheng Feng, Changfeng Dong, Yongfang Luo, Xiang Wan:
USCL: Pretraining Deep Ultrasound Image Diagnosis Model Through Video Contrastive Representation Learning. MICCAI (8) 2021: 627-637 - 2020
- [c9]Lei Liu, Wentao Lei, Xiang Wan, Li Liu, Yongfang Luo, Cheng Feng:
Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification. ICTAI 2020: 1268-1273 - 2019
- [c8]Li Liu, Gang Feng, Denis Beautemps, Xiao-Ping (Steven) Zhang:
A novel resynchronization procedure for hand-lips fusion applied to continuous French Cued Speech recognition. EUSIPCO 2019: 1-5 - [c7]Li Liu, Jianze Li, Gang Feng, Xiao-Ping (Steven) Zhang:
Automatic Detection of the Temporal Segmentation of Hand Movements in British English Cued Speech. INTERSPEECH 2019: 2285-2289 - [c6]Dongliang Ma, Hao Wu, Jun Sun, Chunjing Yu, Li Liu:
A Light-Weight Context-Aware Self-Attention Model for Skin Lesion Segmentation. PRICAI (3) 2019: 501-505 - 2018
- [c5]Li Liu, Gang Feng, Denis Beautemps:
Automatic Temporal Segmentation of Hand Movements for Hand Positions Recognition in French Cued Speech. ICASSP 2018: 3061-3065 - [c4]Li Liu, Thomas Hueber, Gang Feng, Denis Beautemps:
Visual Recognition of Continuous Cued Speech Using a Tandem CNN-HMM Approach. INTERSPEECH 2018: 2643-2647 - 2017
- [c3]Li Liu, Gang Feng, Denis Beautemps:
Inner Lips Parameter Estimation based on Adaptive Ellipse Model. AVSP 2017: 78-83 - [c2]Li Liu, Gang Feng, Denis Beautemps:
Automatic dynamic template tracking of inner lips based on CLNF. ICASSP 2017: 5130-5134 - 2016
- [c1]Li Liu, Gang Feng, Denis Beautemps:
Extraction automatique de contour de lèvre à partir du modèle CLNF (Automatic lip contour extraction using CLNF model). JEP-TALN-RECITAL (1) 2016: 346-354
Informal and Other Publications
- 2024
- [i28]Lei Liu, Li Liu, Haizhou Li:
Computation and Parameter Efficient Multi-Modal Fusion Transformer for Cued Speech Recognition. CoRR abs/2401.17604 (2024) - [i27]Wentao Lei, Li Liu, Jun Wang:
Bridge to Non-Barrier Communication: Gloss-Prompted Fine-grained Cued Speech Gesture Generation with Diffusion Model. CoRR abs/2404.19277 (2024) - [i26]Chunhui Zhang, Li Liu, Hao Wen, Xi Zhou, Yanfeng Wang:
Awesome Multi-modal Object Tracking. CoRR abs/2405.14200 (2024) - [i25]Fengji Ma, Li Liu, Hei Victor Cheng:
TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability. CoRR abs/2405.17678 (2024) - [i24]Chunhui Zhang, Li Liu, Guanjie Huang, Hao Wen, Xi Zhou, Yanfeng Wang:
WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark. CoRR abs/2405.19818 (2024) - [i23]Weilin Lin, Li Liu, Shaokui Wei, Jianze Li, Hui Xiong:
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness. CoRR abs/2405.20291 (2024) - [i22]Wentao Lei, Jinting Wang, Fengji Ma, Guanjie Huang, Li Liu:
A Comprehensive Survey on Human Video Generation: Challenges, Methods, and Insights. CoRR abs/2407.08428 (2024) - 2023
- [i21]Wentao Lei, Lei Liu, Li Liu:
Spatio-Temporal Structure Consistency for Semi-supervised Medical Image Classification. CoRR abs/2303.01707 (2023) - [i20]Chunhui Zhang, Li Liu, Yawen Cui, Guanjie Huang, Weilin Lin, Yiqian Yang, Yuehong Hu:
A Comprehensive Survey on Segment Anything Model for Vision and Beyond. CoRR abs/2305.08196 (2023) - [i19]Penghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng:
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. CoRR abs/2305.08328 (2023) - [i18]Yixiong Chen, Li Liu, Chris Ding:
X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models. CoRR abs/2305.10843 (2023) - [i17]Lufei Gao, Shan Huang, Li Liu:
A Novel Interpretable and Generalizable Re-synchronization Model for Cued Speech based on a Multi-Cuer Corpus. CoRR abs/2306.02596 (2023) - [i16]Chunhui Zhang, Xin Sun, Li Liu, Yiqian Yang, Qiong Liu, Xi Zhou, Yanfeng Wang:
All in One: Exploring Unified Vision-Language Tracking with Multi-Modal Alignment. CoRR abs/2307.03373 (2023) - [i15]Li Liu, Lufei Gao, Wentao Lei, Fengji Ma, Xiaotian Lin, Jinting Wang:
A Survey on Deep Multi-modal Learning for Body Language Recognition and Generation. CoRR abs/2308.08849 (2023) - [i14]Jinting Wang, Li Liu, Jun Wang, Hei Victor Cheng:
Realistic Speech-to-Face Generation with Speech-Conditioned Latent Diffusion Model with Face Prior. CoRR abs/2310.03363 (2023) - 2022
- [i13]Chunhui Zhang, Guanjie Huang, Li Liu, Shan Huang, Yinan Yang, Yuxuan Zhang, Xiang Wan, Shiming Ge:
WebUAV-3M: A Benchmark Unveiling the Power of Million-Scale Deep UAV Tracking. CoRR abs/2201.07425 (2022) - [i12]Yixiong Chen, Jingxian Li, Hua Jiang, Li Liu, Chris Ding:
MetaLR: Layer-wise Learning Rate based on Meta-Learning for Adaptively Fine-tuning Medical Pre-trained Models. CoRR abs/2206.01408 (2022) - [i11]Runkai Zheng, Rongjun Tang, Jianze Li, Li Liu:
Data-free Backdoor Removal based on Channel Lipschitzness. CoRR abs/2208.03111 (2022) - [i10]Chunhui Zhang, Yixiong Chen, Li Liu, Qiong Liu, Xi Zhou:
HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraining. CoRR abs/2210.04477 (2022) - [i9]Andrey Ignatov, Radu Timofte, Cheng-Ming Chiang, Hsien-Kai Kuo, Yu-Syuan Xu, Man-Yu Lee, Allen Lu, Chia-Ming Cheng, Chih-Cheng Chen, Jia-Ying Yong, Hong-Han Shuai, Wen-Huang Cheng, Zhuang Jia, Tianyu Xu, Yijian Zhang, Long Bao, Heng Sun, Diankai Zhang, Si Gao, Shaoli Liu, Biao Wu, Xiaofeng Zhang, Chengjian Zheng, Kaidi Lu, Ning Wang, Xiao Sun, Haodong Wu, Xuncheng Liu, Weizhan Zhang, Caixia Yan, Haipeng Du, Qinghua Zheng, Qi Wang, Wangdu Chen, Ran Duan, Ran Duan, Mengdi Sun, Dan Zhu, Guannan Chen, Hojin Cho, Steve Kim, Shijie Yue, Chenghua Li, Zhengyang Zhuge, Wei Chen, Wenxu Wang, Yufeng Zhou, Xiaochen Cai, Hengxing Cai, Kele Xu, Li Liu, Zehua Cheng, Wenyi Lian, Wenjing Lian:
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 challenge: Report. CoRR abs/2211.05256 (2022) - [i8]Taoyong Cui, Jianze Li, Yuhan Dong, Li Liu:
TAOTF: A Two-stage Approximately Orthogonal Training Framework in Deep Neural Networks. CoRR abs/2211.13902 (2022) - [i7]Yixiong Chen, Jingxian Li, Chris Ding, Li Liu:
Rethinking Two Consensuses of the Transferability in Deep Learning. CoRR abs/2212.00399 (2022) - [i6]Yixiong Chen, Chunhui Zhang, Chris H. Q. Ding, Li Liu:
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning. CoRR abs/2212.04097 (2022) - 2020
- [i5]Li Liu, Gang Feng, Denis Beautemps, Xiao-Ping (Steven) Zhang:
A New Re-synchronization Method based Multi-modal Fusion for Automatic Continuous Cued Speech Recognition. CoRR abs/2001.00854 (2020) - [i4]Lei Liu, Wentao Lei, Yongfang Luo, Cheng Feng, Xiang Wan, Li Liu:
Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification. CoRR abs/2009.05436 (2020) - [i3]Lufei Gao, Ruisong Zhou, Changfeng Dong, Cheng Feng, Zhen Li, Xiang Wan, Li Liu:
Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography. CoRR abs/2011.00694 (2020) - [i2]Runkai Zheng, Zhijia Yu, Yinqi Zhang, Chris Ding, Hei Victor Cheng, Li Liu:
Towards Class-Specific Unit. CoRR abs/2011.10951 (2020) - [i1]Yixiong Chen, Chunhui Zhang, Li Liu, Cheng Feng, Changfeng Dong, Yongfang Luo, Xiang Wan:
Effective Sample Pair Generation for Ultrasound Video Contrastive Representation Learning. CoRR abs/2011.13066 (2020)
Coauthor Index
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