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ORCIDYong Liu 0032
Person information
- affiliation: YouTu Lab, Tencent, Shanghai, China
- affiliation (2015-2018): Chinese Academy of Science, CAS, Institute of Computing Technology, ICT, China
Other persons with the same name
- Yong Liu — disambiguation page
- Yong Liu 0001
![[0000-0003-3156-7002]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3156-7002")
— Outreach Corporation, Seattle, WA, USA (and 3 more) - Yong Liu 0002 — Chinese Academy of Sciences, Institute of Automation, Brainnetome Center, Beijing, China
- Yong Liu 0003 — Peking University, College of Environmental Science and Engineering, Beijing, China
- Yong Liu 0004 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Yong Liu 0005 — Southwest Jiaotong University, Key Laboratory of Information Coding and Transmission, Chengdu, China
- Yong Liu 0006 — University of Tennessee, Knoxville, TN, USA
- Yong Liu 0007 — Zhejiang University, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Hangzhou, China (and 1 more)
- Yong Liu 0008 — Wenzhou Medical University, School of Ophthalmology and Optometry, China
- Yong Liu 0009 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Yong Liu 0010 — Aalto University School of Business, Department of Information and Service Economy, Aalto, Finland (and 3 more)
- Yong Liu 0011 — Jilin University, School of Mechanical Science and Engineering, Changchun, China
- Yong Liu 0012 — The University of Aizu, Aizu-Wakamatsu, Japan (and 4 more)
- Yong Liu 0013 — New York University, Tandon School of Engineering, Department of Electrical and Computer Engineering, Brooklyn, NY, USA (and 1 more)
- Yong Liu 0014 — Texas A&M University, College Station, USA
- Yong Liu 0015 — Nottingham Trent University, UK
- Yong Liu 0016 — Tianjin University, School of Electrical and Information Engineering, Tianjin, China
- Yong Liu 0017 — National University of Defense Technology, School of Electronic Science, Changsha, China
- Yong Liu 0018 — Renmin University of China, China (and 2 more)
- Yong Liu 0019 — University of Science and Technology of China, School of Mathematical Sciences, Hefei, China
- Yong Liu 0020 — Huawei Noah's Ark Lab, Singapore (and 1 more)
- Yong Liu 0021 — Beijing Polytechnic, School of Telecommunication Engineering, Beijing, China
- Yong Liu 0022 — Jiangnan University, School of Business, Wuxi, China
- Yong Liu 0023 — Shanghai Jiao Tong University, China (and 3 more)
- Yong Liu 0024 — Indiana University, Department of Computer Science, Bloomington, IN, USA
- Yong Liu 0025 — Northwestern Polytechnical University, College of Automation, Xi'an, China
- Yong Liu 0026 — A*STAR, Artificial Intelligence Initiative, Singapore (and 2 more)
- Yong Liu 0027 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, China
- Yong Liu 0028 — Chongqing Jiaotong University, School of Economics and Management, Chongqing, China
- Yong Liu 0029 — Heilongjiang University, China
- Yong Liu 0030 — University of Chemical Technology, College of Information Science and Technology, Beijing, China
- Yong Liu 0031 — Xi'an Jiaotong University, National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, China (and 1 more)
- Yong Liu 0033 — Tsinghua University, Tsinghua Shenzhen International Graduate School, China
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2020 – today
- 2025
[j5]Chengjie Wang, Xi Jiang, Bin-Bin Gao, Zhenye Gan, Yong Liu, Feng Zheng, Lizhuang Ma:
SoftPatch+: Fully unsupervised anomaly classification and segmentation. Pattern Recognit. 161: 111295 (2025)- 2024
- [j4]Guoyang Xie, Jinbao Wang, Jiaqi Liu, Jiayi Lyu, Yong Liu, Chengjie Wang, Feng Zheng, Yaochu Jin:
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing. IEEE Trans. Cybern. 54(5): 2720-2733 (2024) - [j3]Wujin Li, Bin-Bin Gao, Bizhong Xia, Jinbao Wang, Jun Liu, Yong Liu, Chengjie Wang, Feng Zheng:
Cross-Modal Alternating Learning With Task-Aware Representations for Continual Learning. IEEE Trans. Multim. 26: 5911-5924 (2024) - [c10]Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong Liu, Jinbao Wang, Chengjie Wang, Feng Zheng:
Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt. AAAI 2024: 3639-3647 - [c9]Jialin Li, Qiang Nie, Weifu Fu, Yuhuan Lin, Guangpin Tao, Yong Liu, Chengjie Wang:
LORS: Low-Rank Residual Structure for Parameter-Efficient Network Stacking. CVPR 2024: 15866-15876 - [c8]Pengzhi Li, Qiang Nie, Ying Chen, Xi Jiang, Kai Wu, Yuhuan Lin, Yong Liu, Jinlong Peng, Chengjie Wang, Feng Zheng:
Tuning-Free Image Customization with Image and Text Guidance. ECCV (76) 2024: 233-250 - [c7]Yizhang Jin, Jian Li, Jiangning Zhang, Jianlong Hu, Zhenye Gan, Xin Tan, Yong Liu, Yabiao Wang, Chengjie Wang, Lizhuang Ma:
LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description. ACM Multimedia 2024: 11420-11425 - [i23]Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong Liu, Jinbao Wang, Chengjie Wang, Feng Zheng:
Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt. CoRR abs/2401.01010 (2024) - [i22]Jialin Li, Qiang Nie, Weifu Fu, Yuhuan Lin, Guangpin Tao, Yong Liu, Chengjie Wang:
LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking. CoRR abs/2403.04303 (2024) - [i21]Ying Chen, Yong Liu, Kai Wu, Qiang Nie, Shang Xu, Huifang Ma, Bing Wang, Chengjie Wang:
HCPM: Hierarchical Candidates Pruning for Efficient Detector-Free Matching. CoRR abs/2403.12543 (2024) - [i20]Pengzhi Li, Qiang Nie, Ying Chen, Xi Jiang, Kai Wu, Yuhuan Lin, Yong Liu, Jinlong Peng, Chengjie Wang, Feng Zheng:
Tuning-Free Image Customization with Image and Text Guidance. CoRR abs/2403.12658 (2024) - [i19]Xi Jiang, Ying Chen, Qiang Nie, Jianlin Liu, Yong Liu, Chengjie Wang, Feng Zheng:
Toward Multi-class Anomaly Detection: Exploring Class-aware Unified Model against Inter-class Interference. CoRR abs/2403.14213 (2024) - [i18]Xi Jiang, Ying Chen, Qiang Nie, Yong Liu, Jianlin Liu, Bin-Bin Gao, Jun Liu, Chengjie Wang, Feng Zheng:
SoftPatch: Unsupervised Anomaly Detection with Noisy Data. CoRR abs/2403.14233 (2024) - [i17]Qiang Nie, Weifu Fu, Yuhuan Lin, Jialin Li, Yifeng Zhou, Yong Liu, Lei Zhu, Chengjie Wang:
Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner. CoRR abs/2406.03065 (2024) - [i16]Jiangning Zhang, Haoyang He, Zhenye Gan, Qingdong He, Yuxuan Cai, Zhucun Xue, Yabiao Wang, Chengjie Wang, Lei Xie, Yong Liu:
ADer: A Comprehensive Benchmark for Multi-class Visual Anomaly Detection. CoRR abs/2406.03262 (2024) - [i15]Yiran Xu, Haoxiang Zhong, Kai Wu, Jialin Li, Yong Liu, Chengjie Wang, Shu-Tao Xia, Hongen Liao:
Anno-incomplete Multi-dataset Detection. CoRR abs/2408.16247 (2024) - [i14]Ziyu Yao, Jialin Li, Yifeng Zhou, Yong Liu, Xi Jiang, Chengjie Wang, Feng Zheng, Yuexian Zou, Lei Li:
CAR: Controllable Autoregressive Modeling for Visual Generation. CoRR abs/2410.04671 (2024) - [i13]Xi Jiang, Jian Li, Hanqiu Deng, Yong Liu, Bin-Bin Gao, Yifeng Zhou, Jialin Li, Chengjie Wang, Feng Zheng:
MMAD: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection. CoRR abs/2410.09453 (2024) - [i12]Chengjie Wang, Xi Jiang, Bin-Bin Gao, Zhenye Gan, Yong Liu, Feng Zheng, Lizhuang Ma:
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation. CoRR abs/2412.20870 (2024) - 2023
- [j2]Dihe Huang, Ying Chen, Yikang Ding, Yong Liu, Qiang Nie, Chengjie Wang, Zhiheng Li:
Enhancing Grid-Based 3D Object Detection in Autonomous Driving With Improved Dimensionality Reduction. IEEE Access 11: 35243-35254 (2023) - [c6]Dihe Huang, Ying Chen, Yong Liu, Jianlin Liu, Shang Xu, Wenlong Wu, Yikang Ding, Fan Tang, Chengjie Wang:
Adaptive Assignment for Geometry Aware Local Feature Matching. CVPR 2023: 5425-5434 - [c5]Jianlin Liu, Qiang Nie, Yong Liu, Chengjie Wang:
NeRF-Loc: Visual Localization with Conditional Neural Radiance Field. ICRA 2023: 9385-9392 - [c4]Jiaqi Liu, Guoyang Xie, Ruitao Chen, Xinpeng Li, Jinbao Wang, Yong Liu, Chengjie Wang, Feng Zheng:
Real3D-AD: A Dataset of Point Cloud Anomaly Detection. NeurIPS 2023 - [i11]Guoyang Xie, Jinbao Wang, Jiaqi Liu, Jiayi Lyu, Yong Liu, Chengjie Wang, Feng Zheng, Yaochu Jin:
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing. CoRR abs/2301.13359 (2023) - [i10]Jianlin Liu, Qiang Nie, Yong Liu, Chengjie Wang:
NeRF-Loc: Visual Localization with Conditional Neural Radiance Field. CoRR abs/2304.07979 (2023) - [i9]Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao, Qiong Wang, Pheng-Ann Heng, Guangyong Chen:
Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes. CoRR abs/2308.12017 (2023) - [i8]WeiFu Fu, Qiang Nie, Jialin Li, Yuhuan Lin, Kai Wu, Yong Liu, Chengjie Wang:
Semi-supervised Domain Adaptation with Inter and Intra-domain Mixing for Semantic Segmentation. CoRR abs/2308.15855 (2023) - [i7]Jiaqi Liu, Guoyang Xie, Ruitao Chen, Xinpeng Li, Jinbao Wang, Yong Liu, Chengjie Wang, Feng Zheng:
Real3D-AD: A Dataset of Point Cloud Anomaly Detection. CoRR abs/2309.13226 (2023) - 2022
- [j1]Yimin Ou, Rui Yang, Lufan Ma, Yong Liu, Jiangpeng Yan, Shang Xu, Chengjie Wang, Xiu Li:
UniInst: Unique representation for end-to-end instance segmentation. Neurocomputing 514: 551-562 (2022) - [c3]Fan Yang, Kai Wu, Shuyi Zhang, Guannan Jiang, Yong Liu, Feng Zheng, Wei Zhang, Chengjie Wang, Long Zeng:
Class-Aware Contrastive Semi-Supervised Learning. CVPR 2022: 14401-14410 - [c2]Yifeng Zhou, Chuming Lin, Donghao Luo, Yong Liu, Ying Tai, Chengjie Wang, Mingang Chen:
Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution. ACM Multimedia 2022: 2606-2616 - [c1]Xi Jiang, Jianlin Liu, Jinbao Wang, Qiang Nie, Kai Wu, Yong Liu, Chengjie Wang, Feng Zheng:
SoftPatch: Unsupervised Anomaly Detection with Noisy Data. NeurIPS 2022 - [i6]Xi Jiang, Guoyang Xie, Jinbao Wang, Yong Liu, Chengjie Wang, Feng Zheng, Yaochu Jin:
A Survey of Visual Sensory Anomaly Detection. CoRR abs/2202.07006 (2022) - [i5]Fan Yang, Kai Wu, Shuyi Zhang, Guannan Jiang, Yong Liu, Feng Zheng, Wei Zhang, Chengjie Wang, Long Zeng:
Class-Aware Contrastive Semi-Supervised Learning. CoRR abs/2203.02261 (2022) - [i4]Yimin Ou, Rui Yang, Lufan Ma, Yong Liu, Jiangpeng Yan, Shang Xu, Chengjie Wang, Xiu Li:
UniInst: Unique Representation for End-to-End Instance Segmentation. CoRR abs/2205.12646 (2022) - [i3]Dihe Huang, Ying Chen, Shang Xu, Yong Liu, Wenlong Wu, Yikang Ding, Chengjie Wang, Fan Tang:
Adaptive Assignment for Geometry Aware Local Feature Matching. CoRR abs/2207.08427 (2022) - [i2]Yifeng Zhou, Chuming Lin, Donghao Luo, Yong Liu, Ying Tai, Chengjie Wang, Mingang Chen:
Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution. CoRR abs/2208.13436 (2022) - [i1]Dihe Huang, Ying Chen, Yikang Ding, Jinli Liao, Jianlin Liu, Kai Wu, Qiang Nie, Yong Liu, Chengjie Wang:
Rethinking Dimensionality Reduction in Grid-based 3D Object Detection. CoRR abs/2209.09464 (2022)
Coauthor Index
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