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2020 – today
- 2024
[j14]Yukun Zuo
, Hantao Yao, Liansheng Zhuang, Changsheng Xu:
Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 46(11): 7348-7362 (2024)- [j13]Minghong Yao, Zhiguang Liu, Liansheng Zhuang, Liangwei Wang, Houqiang Li:
A Robust Framework for One-Shot Key Information Extraction via Deep Partial Graph Matching. IEEE Trans. Image Process. 33: 1070-1079 (2024) - [c44]Xiao Long, Liansheng Zhuang, Aodi Li, Jiuchang Wei, Houqiang Li, Shafei Wang:
KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding. AAAI 2024: 8850-8858 - [c43]Minghong Yao, Liansheng Zhuang, Houqiang Li, Jiuchang Wei:
Learning Label Dependencies for Visual Information Extraction. IJCAI 2024: 6615-6623 - [c42]Zhengdao Shao, Liansheng Zhuang, Jie Yan, Liting Chen:
Conservative In-Distribution Q-Learning for Offline Reinforcement Learning. IJCNN 2024: 1-8 - [c41]Bochao Liu, Pengju Wang, Weijia Guo, Yong Li, Liansheng Zhuang, Weiping Wang, Shiming Ge:
Private Gradient Estimation is Useful for Generative Modeling. ACM Multimedia 2024: 282-290 - [c40]Xiao Long, Liansheng Zhuang, Aodi Li, Houqiang Li, Shafei Wang:
Fact Embedding through Diffusion Model for Knowledge Graph Completion. WWW 2024: 2020-2029 - [i9]Yukun Zuo, Hantao Yao, Liansheng Zhuang, Changsheng Xu:
Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition. CoRR abs/2401.06287 (2024) - [i8]Yukun Zuo, Hantao Yao, Lu Yu, Liansheng Zhuang, Changsheng Xu:
Hierarchical Prompts for Rehearsal-free Continual Learning. CoRR abs/2401.11544 (2024) - 2023
- [j12]Yukun Zuo, Hantao Yao, Liansheng Zhuang, Changsheng Xu:
Dual Structural Knowledge Interaction for Domain Adaptation. IEEE Trans. Multim. 25: 9057-9070 (2023) - [c39]Cheng Zhao, Liansheng Zhuang, Haonan Liu, Yihong Huang, Jian Yang:
Multi-Agent Path Finding via Reinforcement Learning with Hybrid Reward. AAMAS 2023: 2577-2579 - [c38]Shang Chai, Liansheng Zhuang, Fengying Yan:
LayoutDM: Transformer-based Diffusion Model for Layout Generation. CVPR 2023: 18349-18358 - [c37]Shuo Fan, Liansheng Zhuang, Li Aodi:
Bayesian Sharpness-Aware Prompt Tuning for Cross-Domain Few-shot Learning. IJCNN 2023: 1-7 - [c36]Cheng Zhao, Liansheng Zhuang, Yihong Huang, Haonan Liu:
Curriculum Learning Based Multi-Agent Path Finding for Complex Environments. IJCNN 2023: 1-8 - [c35]Junshan Hu, Liansheng Zhuang, Weisong Dong, Shiming Ge, Shafei Wang:
Learning Generalized Representations for Open-Set Temporal Action Localization. ACM Multimedia 2023: 1987-1996 - [c34]Shang Chai, Liansheng Zhuang, Fengying Yan, Zihan Zhou:
Two-stage Content-Aware Layout Generation for Poster Designs. ACM Multimedia 2023: 8415-8423 - [c33]Xinyi Yuan, Liansheng Zhuang:
Learning a Robust Model with Pseudo Boundaries for Noisy Temporal Action Localization. MMAsia 2023: 81:1-81:7 - [i7]Shang Chai, Liansheng Zhuang, Fengying Yan:
LayoutDM: Transformer-based Diffusion Model for Layout Generation. CoRR abs/2305.02567 (2023) - [i6]Bochao Liu, Shiming Ge, Pengju Wang, Liansheng Zhuang, Tongliang Liu:
Learning Differentially Private Probabilistic Models for Privacy-Preserving Image Generation. CoRR abs/2305.10662 (2023) - 2022
- [j11]Rui Liu, Liansheng Zhuang, Zhou Yu, Zhihao Jiang, Tian Bai:
Question-relationship guided graph attention network for visual question answer. Multim. Syst. 28(2): 445-456 (2022) - [j10]Minghong Yao, Liansheng Zhuang, Shafei Wang, Houqiang Li:
PMIVec: a word embedding model guided by point-wise mutual information criterion. Multim. Syst. 28(6): 2275-2283 (2022) - [j9]Yukun Zuo, Hantao Yao, Liansheng Zhuang, Changsheng Xu:
Margin-Based Adversarial Joint Alignment Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2057-2067 (2022) - [j8]Yukun Zuo, Hantao Yao, Liansheng Zhuang, Changsheng Xu:
Seek Common Ground While Reserving Differences: A Model-Agnostic Module for Noisy Domain Adaptation. IEEE Trans. Multim. 24: 1020-1030 (2022) - [c32]Li Li, Liansheng Zhuang, Shenghua Gao, Shafei Wang:
HaViT: Hybrid-Attention Based Vision Transformer for Video Classification. ACCV (4) 2022: 502-517 - [c31]Li Aodi, Liansheng Zhuang, Shuo Fan, Shafei Wang:
Learning Common and Specific Visual Prompts for Domain Generalization. ACCV (6) 2022: 578-593 - [c30]Xiao Long, Liansheng Zhuang, Li Aodi, Shafei Wang, Houqiang Li:
Neural-based Mixture Probabilistic Query Embedding for Answering FOL queries on Knowledge Graphs. EMNLP 2022: 3001-3013 - [c29]Yihong Huang, Liansheng Zhuang, Cheng Zhao, Haonan Liu:
Efficient Double Oracle for Extensive-Form Two-Player Zero-Sum Games. ICONIP (2) 2022: 414-424 - [c28]Haonan Liu, Liansheng Zhuang, Yihong Huang, Cheng Zhao:
VAAC: V-value Attention Actor-Critic for Cooperative Multi-agent Reinforcement Learning. ICONIP (1) 2022: 562-573 - [c27]Junshan Hu, Chaoxu Guo, Liansheng Zhuang, Biao Wang, Tiezheng Ge, Yuning Jiang, Houqiang Li:
Estimation of Reliable Proposal Quality for Temporal Action Detection. ACM Multimedia 2022: 6685-6695 - [c26]Li Li, Liansheng Zhuang:
MEViT: Motion Enhanced Video Transformer for Video Classification. MMM (2) 2022: 419-430 - [i5]Junshan Hu, Chaoxu Guo, Liansheng Zhuang, Biao Wang, Tiezheng Ge, Yuning Jiang, Houqiang Li:
Estimation of Reliable Proposal Quality for Temporal Action Detection. CoRR abs/2204.11695 (2022) - 2021
- [c25]Xiao Long, Minghong Yao, Liansheng Zhuang, Houqiang Li, Shafei Wang:
Path Ranking Model for Entity Prediction. ICME 2021: 1-6 - [c24]Li Li, Xiao Long, Liansheng Zhuang, Shafei Wang:
Learn the Approximation Distribution of Sparse Coding with Mixture Sparsity Network. PRCV (4) 2021: 387-398 - [i4]Minghong Yao, Zhiguang Liu, Liangwei Wang, Houqiang Li, Liansheng Zhuang:
One-shot Key Information Extraction from Document with Deep Partial Graph Matching. CoRR abs/2109.13967 (2021) - 2020
- [c23]Yang Lv, Liansheng Zhuang, Pengyu Luo, Houqiang Li, Zhengjun Zha:
Time-Sensitive Collaborative Interest Aware Model for Session-Based Recommendation. ICME 2020: 1-6 - [c22]Mingyu Tang, Liansheng Zhuang, Houqiang Li, Jian Yang, Yanqun Guo:
Phrase-Level Global-Local Hybrid Model For Sentence Embedding. ICME 2020: 1-6 - [c21]Qiwei He, Liansheng Zhuang, Wei Zhang, Houqiang Li:
Quantile Regression Hindsight Experience Replay. ICONIP (4) 2020: 824-831 - [i3]Qiwei He, Liansheng Zhuang, Houqiang Li:
Soft Hindsight Experience Replay. CoRR abs/2002.02089 (2020)
2010 – 2019
- 2019
- [c20]Zhihao Zhang, Junfu Pu, Liansheng Zhuang, Wengang Zhou, Houqiang Li:
Continuous Sign Language Recognition via Reinforcement Learning. ICIP 2019: 285-289 - [c19]Zhihao Zhang, Liansheng Zhuang, Wengang Zhou, Houqiang Li:
Dynamic Cascaded Regression Network with Reinforcement Learning for Robust Face Alignment. ICME 2019: 598-603 - [c18]Qianqian Wang, Liansheng Zhuang, Ning Wang, Wengang Zhou, Houqiang Li:
Learning Motion-Aware Policies for Robust Visual Tracking. ICME 2019: 1786-1791 - 2018
- [c17]Xin Wen, Zheng-Jun Zha, Zilei Wang, Liansheng Zhuang, Houqiang Li:
CCNet: Cluster-Coordinated Net for Learning Multi-agent Communication Protocols with Reinforcement Learning. ACML 2018: 582-597 - [c16]Xiaoju Zheng, Zheng-Jun Zha, Liansheng Zhuang:
A Feature-Adaptive Semi-Supervised Framework for Co-saliency Detection. ACM Multimedia 2018: 959-966 - 2017
- [j7]Liansheng Zhuang, Zihan Zhou, Shenghua Gao, Jingwen Yin, Zhouchen Lin, Yi Ma:
Label Information Guided Graph Construction for Semi-Supervised Learning. IEEE Trans. Image Process. 26(9): 4182-4192 (2017) - 2016
- [j6]Liansheng Zhuang, Jingjing Wang, Zhouchen Lin, Allen Y. Yang, Yi Ma, Nenghai Yu:
Locality-preserving low-rank representation for graph construction from nonlinear manifolds. Neurocomputing 175: 715-722 (2016) - [j5]Jingjing Wang, Nenghai Yu, Feng Zhu, Liansheng Zhuang:
Multi-level visual tracking with hierarchical tree structural constraint. Neurocomputing 202: 1-11 (2016) - [c15]Jingjing Wang, Chi Fei, Liansheng Zhuang, Nenghai Yu:
Part-based multi-graph ranking for visual tracking. ICIP 2016: 1714-1718 - 2015
- [j4]Shenghua Gao, Kui Jia, Liansheng Zhuang, Yi Ma:
Neither Global Nor Local: Regularized Patch-Based Representation for Single Sample Per Person Face Recognition. Int. J. Comput. Vis. 111(3): 365-383 (2015) - [j3]Liansheng Zhuang, Tsung-Han Chan, Allen Y. Yang, S. Shankar Sastry, Yi Ma:
Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment. Int. J. Comput. Vis. 114(2-3): 272-287 (2015) - [j2]Liansheng Zhuang, Shenghua Gao, Jinhui Tang, Jingjing Wang, Zhouchen Lin, Yi Ma, Nenghai Yu:
Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive Features. IEEE Trans. Image Process. 24(11): 3717-3728 (2015) - [c14]Jingjing Wang, Liansheng Zhuang, Nenghai Yu:
Online shared dictionary learning for visual tracking. ICIMCS 2015: 22:1-22:5 - 2014
- [c13]I-Hong Jhuo, Shenghua Gao, Liansheng Zhuang, D. T. Lee, Yi Ma:
Unsupervised Feature Learning for RGB-D Image Classification. ACCV (1) 2014: 276-289 - [i2]Liansheng Zhuang, Tsung-Han Chan, Allen Y. Yang, S. Shankar Sastry, Yi Ma:
Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment. CoRR abs/1402.1879 (2014) - [i1]Liansheng Zhuang, Shenghua Gao, Jinhui Tang, Jingjing Wang, Zhouchen Lin, Yi Ma:
Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features. CoRR abs/1409.0964 (2014) - 2013
- [j1]Liansheng Zhuang, Haoyuan Gao, Jiebo Luo, Zhouchen Lin:
Regularized Semi-Supervised Latent Dirichlet Allocation for visual concept learning. Neurocomputing 119: 26-32 (2013) - [c12]Liansheng Zhuang, Allen Y. Yang, Zihan Zhou, S. Shankar Sastry, Yi Ma:
Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer. CVPR 2013: 3546-3553 - 2012
- [c11]Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma, Xin Zhang, Nenghai Yu:
Non-negative low rank and sparse graph for semi-supervised learning. CVPR 2012: 2328-2335 - 2011
- [c10]Wei Zhou, Yu Liu, Weiming Zhang, Liansheng Zhuang, Nenghai Yu:
Dynamic Background Subtraction Using Spatial-Color Binary Patterns. ICIG 2011: 314-319 - [c9]Liansheng Zhuang, Haoyuan Gao, Jingjing Huang, Nenghai Yu:
Semi-supervised Classification via Low Rank Graph. ICIG 2011: 511-516 - [c8]Haoyuan Gao, Liansheng Zhuang, Nenghai Yu:
A New Graph Constructor for Semi-supervised Discriminant Analysis via Group Sparsity. ICIG 2011: 691-695 - [c7]Liansheng Zhuang, Lanbo She, Jingjing Huang, Jiebo Luo, Nenghai Yu:
Regularized Semi-supervised Latent Dirichlet Allocation for Visual Concept Learning. MMM (1) 2011: 403-412 - 2010
- [c6]Liansheng Zhuang, Rui Zhao, Nenghai Yu, Bin Liu:
SVD based linear filtering in DCT domain. ICIP 2010: 2769-2772 - [c5]Wei Zhou, Liansheng Zhuang, Nenghai Yu:
A robust part-based tracker. ICME 2010: 766-771
2000 – 2009
- 2009
- [c4]Liansheng Zhuang, Ketan Tang, Nenghai Yu, Wei Zhou:
Unsupervised Object Learning with AM-pLSA. CSIE (4) 2009: 701-704 - [c3]Liansheng Zhuang, Mengliao Wang, Wen Yu, Nenghai Yu, Yangchun Qian:
Low-Resolution Face Recognition via Sparse Representation of Patches. ICIG 2009: 200-204 - [c2]Liansheng Zhuang, Lanbo She, Yuning Jiang, Ketan Tang, Nenghai Yu:
Image Classification via Semi-supervised pLSA. ICIG 2009: 205-208 - 2008
- [c1]Liansheng Zhuang, Wei Zhou, Qi Tian, Nenghai Yu:
Learning object from small and imbalanced dataset with Boost-BFKO. ICME 2008: 1449-1452
Coauthor Index
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