Learning object from small and imbalanced dataset with Boost-BFKO. - Liansheng Zhuang; Wei Zhou; Qi Tian 001; Nenghai Yu (ICME, 2008)

Unsupervised Object Learning with AM-pLSA. - Liansheng Zhuang; Ketan Tang; Nenghai Yu; Wei Zhou (CSIE (4), 2009)

Image Classification via Semi-supervised pLSA. - Liansheng Zhuang; Lanbo She; Yuning Jiang 001; Ketan Tang; Nenghai Yu (ICIG, 2009)

Low-Resolution Face Recognition via Sparse Representation of Patches. - Liansheng Zhuang; Mengliao Wang; Wen Yu; Nenghai Yu; Yangchun Qian (ICIG, 2009)

SVD based linear filtering in DCT domain. - Liansheng Zhuang; Rui Zhao 001; Nenghai Yu; Bin Liu 016 (ICIP, 2010)

A robust part-based tracker. - Wei Zhou; Liansheng Zhuang; Nenghai Yu (ICME, 2010)

A New Graph Constructor for Semi-supervised Discriminant Analysis via Group Sparsity. - Haoyuan Gao; Liansheng Zhuang; Nenghai Yu (ICIG, 2011)

Dynamic Background Subtraction Using Spatial-Color Binary Patterns. - Wei Zhou; Yu Liu; Weiming Zhang 001; Liansheng Zhuang; Nenghai Yu (ICIG, 2011)

Semi-supervised Classification via Low Rank Graph. - Liansheng Zhuang; Haoyuan Gao; Jingjing Huang; Nenghai Yu (ICIG, 2011)

Regularized Semi-supervised Latent Dirichlet Allocation for Visual Concept Learning. - Liansheng Zhuang; Lanbo She; Jingjing Huang; Jiebo Luo 001; Nenghai Yu (MMM (1), 2011)

Non-negative low rank and sparse graph for semi-supervised learning. - Liansheng Zhuang; Haoyuan Gao; Zhouchen Lin; Yi Ma 001; Xin Zhang 051; Nenghai Yu (CVPR, 2012)

Single-Sample Face Recognition with Image Corruption and Misalignment via Sparse Illumination Transfer. - Liansheng Zhuang; Allen Y. Yang; Zihan Zhou 001; S. Shankar Sastry; Yi Ma 001 (CVPR, 2013)

Regularized Semi-Supervised Latent Dirichlet Allocation for visual concept learning. - Liansheng Zhuang; Haoyuan Gao; Jiebo Luo 001; Zhouchen Lin (Neurocomputing, 2013)

Unsupervised Feature Learning for RGB-D Image Classification. - I-Hong Jhuo; Shenghua Gao; Liansheng Zhuang; D. T. Lee; Yi Ma 001 (ACCV (1), 2014)

Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features. - Liansheng Zhuang; Shenghua Gao; Jinhui Tang 001; Jingjing Wang 005; Zhouchen Lin; Yi Ma 001 (CoRR, 2014)

Online shared dictionary learning for visual tracking. - Jingjing Wang 005; Liansheng Zhuang; Nenghai Yu (ICIMCS, 2015)

Neither Global Nor Local: Regularized Patch-Based Representation for Single Sample Per Person Face Recognition. - Shenghua Gao; Kui Jia; Liansheng Zhuang; Yi Ma 001 (Int. J. Comput. Vis., 2015)

Sparse Illumination Learning and Transfer for Single-Sample Face Recognition with Image Corruption and Misalignment. - Liansheng Zhuang; Tsung-Han Chan; Allen Y. Yang; S. Shankar Sastry; Yi Ma 001 (Int. J. Comput. Vis., 2015)

Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive Features. - Liansheng Zhuang; Shenghua Gao; Jinhui Tang 001; Jingjing Wang 005; Zhouchen Lin; Yi Ma 001; Nenghai Yu (IEEE Trans. Image Process., 2015)

Part-based multi-graph ranking for visual tracking. - Jingjing Wang 005; Chi Fei; Liansheng Zhuang; Nenghai Yu (ICIP, 2016)

Multi-level visual tracking with hierarchical tree structural constraint. - Jingjing Wang 005; Nenghai Yu; Feng Zhu 006; Liansheng Zhuang (Neurocomputing, 2016)

Locality-preserving low-rank representation for graph construction from nonlinear manifolds. - Liansheng Zhuang; Jingjing Wang 005; Zhouchen Lin; Allen Y. Yang; Yi Ma 001; Nenghai Yu (Neurocomputing, 2016)

Label Information Guided Graph Construction for Semi-Supervised Learning. - Liansheng Zhuang; Zihan Zhou 001; Shenghua Gao; Jingwen Yin; Zhouchen Lin; Yi Ma 001 (IEEE Trans. Image Process., 2017)

CCNet: Cluster-Coordinated Net for Learning Multi-agent Communication Protocols with Reinforcement Learning. - Xin Wen; Zheng-Jun Zha; Zilei Wang; Liansheng Zhuang; Houqiang Li (ACML, 2018)

A Feature-Adaptive Semi-Supervised Framework for Co-saliency Detection. - Xiaoju Zheng; Zheng-Jun Zha; Liansheng Zhuang (ACM Multimedia, 2018)

Continuous Sign Language Recognition via Reinforcement Learning. - Zhihao Zhang; Junfu Pu; Liansheng Zhuang; Wengang Zhou 001; Houqiang Li (ICIP, 2019)

Learning Motion-Aware Policies for Robust Visual Tracking. - Qianqian Wang; Liansheng Zhuang; Ning Wang 020; Wengang Zhou 001; Houqiang Li (ICME, 2019)

Dynamic Cascaded Regression Network with Reinforcement Learning for Robust Face Alignment. - Zhihao Zhang; Liansheng Zhuang; Wengang Zhou 001; Houqiang Li (ICME, 2019)

Time-Sensitive Collaborative Interest Aware Model for Session-Based Recommendation. - Yang Lv; Liansheng Zhuang; Pengyu Luo; Houqiang Li; Zhengjun Zha (ICME, 2020)

Phrase-Level Global-Local Hybrid Model For Sentence Embedding. - Mingyu Tang; Liansheng Zhuang; Houqiang Li; Jian Yang; Yanqun Guo (ICME, 2020)

Quantile Regression Hindsight Experience Replay. - Qiwei He; Liansheng Zhuang; Wei Zhang; Houqiang Li (ICONIP (4), 2020)

Soft Hindsight Experience Replay. - Qiwei He; Liansheng Zhuang; Houqiang Li (CoRR, 2020)

Path Ranking Model for Entity Prediction. - Xiao Long; Minghong Yao; Liansheng Zhuang; Houqiang Li; Shafei Wang (ICME, 2021)

Learn the Approximation Distribution of Sparse Coding with Mixture Sparsity Network. - Li Li; Xiao Long; Liansheng Zhuang; Shafei Wang (PRCV (4), 2021)

One-shot Key Information Extraction from Document with Deep Partial Graph Matching. - Minghong Yao; Zhiguang Liu; Liangwei Wang 004; Houqiang Li; Liansheng Zhuang (CoRR, 2021)

Learning Common and Specific Visual Prompts for Domain Generalization. - Aodi Li; Liansheng Zhuang; Shuo Fan; Shafei Wang (ACCV (6), 2022)

HaViT: Hybrid-Attention Based Vision Transformer for Video Classification. - Li Li; Liansheng Zhuang; Shenghua Gao; Shafei Wang (ACCV (4), 2022)

Neural-based Mixture Probabilistic Query Embedding for Answering FOL queries on Knowledge Graphs. - Xiao Long; Liansheng Zhuang; Aodi Li; Shafei Wang; Houqiang Li (EMNLP, 2022)

Efficient Double Oracle for Extensive-Form Two-Player Zero-Sum Games. - Yihong Huang; Liansheng Zhuang; Cheng Zhao; Haonan Liu (ICONIP (2), 2022)

VAAC: V-value Attention Actor-Critic for Cooperative Multi-agent Reinforcement Learning. - Haonan Liu; Liansheng Zhuang; Yihong Huang; Cheng Zhao (ICONIP (1), 2022)

Estimation of Reliable Proposal Quality for Temporal Action Detection. - Junshan Hu; Chaoxu Guo; Liansheng Zhuang; Biao Wang; Tiezheng Ge; Yuning Jiang 001; Houqiang Li (ACM Multimedia, 2022)

MEViT: Motion Enhanced Video Transformer for Video Classification. - Li Li; Liansheng Zhuang (MMM (2), 2022)

Question-relationship guided graph attention network for visual question answer. - Rui Liu; Liansheng Zhuang; Zhou Yu 001; Zhihao Jiang; Tian Bai 005 (Multim. Syst., 2022)

PMIVec: a word embedding model guided by point-wise mutual information criterion. - Minghong Yao; Liansheng Zhuang; Shafei Wang; Houqiang Li (Multim. Syst., 2022)

Margin-Based Adversarial Joint Alignment Domain Adaptation. - Yukun Zuo; Hantao Yao; Liansheng Zhuang; Changsheng Xu (IEEE Trans. Circuits Syst. Video Technol., 2022)

Seek Common Ground While Reserving Differences: A Model-Agnostic Module for Noisy Domain Adaptation. - Yukun Zuo; Hantao Yao; Liansheng Zhuang; Changsheng Xu (IEEE Trans. Multim., 2022)

Multi-Agent Path Finding via Reinforcement Learning with Hybrid Reward. - Cheng Zhao; Liansheng Zhuang; Haonan Liu; Yihong Huang; Jian Yang (AAMAS, 2023)

LayoutDM: Transformer-based Diffusion Model for Layout Generation. - Shang Chai; Liansheng Zhuang; Fengying Yan (CVPR, 2023)

Bayesian Sharpness-Aware Prompt Tuning for Cross-Domain Few-shot Learning. - Shuo Fan; Liansheng Zhuang; Aodi Li (IJCNN, 2023)

Curriculum Learning Based Multi-Agent Path Finding for Complex Environments. - Cheng Zhao; Liansheng Zhuang; Yihong Huang; Haonan Liu (IJCNN, 2023)

Two-stage Content-Aware Layout Generation for Poster Designs. - Shang Chai; Liansheng Zhuang; Fengying Yan; Zihan Zhou 001 (ACM Multimedia, 2023)

Learning Generalized Representations for Open-Set Temporal Action Localization. - Junshan Hu; Liansheng Zhuang; Weisong Dong; Shiming Ge; Shafei Wang (ACM Multimedia, 2023)

Learning a Robust Model with Pseudo Boundaries for Noisy Temporal Action Localization. - Xinyi Yuan; Liansheng Zhuang (MMAsia, 2023)

Learning Differentially Private Probabilistic Models for Privacy-Preserving Image Generation. - Bochao Liu; Shiming Ge; Pengju Wang; Liansheng Zhuang; Tongliang Liu (CoRR, 2023)

Dual Structural Knowledge Interaction for Domain Adaptation. - Yukun Zuo; Hantao Yao; Liansheng Zhuang; Changsheng Xu (IEEE Trans. Multim., 2023)

KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding. - Xiao Long; Liansheng Zhuang; Aodi Li; Jiuchang Wei; Houqiang Li; Shafei Wang (AAAI, 2024)

Learning Label Dependencies for Visual Information Extraction. - Minghong Yao; Liansheng Zhuang; Houqiang Li; Jiuchang Wei (IJCAI, 2024)

Conservative In-Distribution Q-Learning for Offline Reinforcement Learning. - Zhengdao Shao; Liansheng Zhuang; Jie Yan; Liting Chen (IJCNN, 2024)

Private Gradient Estimation is Useful for Generative Modeling. - Bochao Liu; Pengju Wang; Weijia Guo; Yong Li; Liansheng Zhuang; Weiping Wang 005; Shiming Ge (ACM Multimedia, 2024)

Fact Embedding through Diffusion Model for Knowledge Graph Completion. - Xiao Long; Liansheng Zhuang; Aodi Li; Houqiang Li; Shafei Wang (WWW, 2024)

Hierarchical Prompts for Rehearsal-free Continual Learning. - Yukun Zuo; Hantao Yao; Lu Yu 004; Liansheng Zhuang; Changsheng Xu (CoRR, 2024)

A Robust Framework for One-Shot Key Information Extraction via Deep Partial Graph Matching. - Minghong Yao; Zhiguang Liu; Liansheng Zhuang; Liangwei Wang 004; Houqiang Li (IEEE Trans. Image Process., 2024)

Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition. - Yukun Zuo; Hantao Yao; Liansheng Zhuang; Changsheng Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering. - Xiao Long; Liansheng Zhuang; Aodi Li; Minghong Yao; Shafei Wang (AAAI, 2025)

Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes. - Aodi Li; Liansheng Zhuang; Xiao Long; Minghong Yao; Shafei Wang (CVPR, 2025)

Progressive Neural Architecture Generation with Weaker Predictors. - Zhengzhuo Zhang; Liansheng Zhuang (MMM (3), 2025)

SceneBooth: Diffusion-based Framework for Subject-preserved Text-to-Image Generation. - Shang Chai; Zihang Lin; Min Zhou; Xubin Li; Liansheng Zhuang; Houqiang Li (CoRR, 2025)

Test-time Loss Landscape Adaptation for Zero-Shot Generalization in Vision-Language Models. - Aodi Li; Liansheng Zhuang; Xiao Long; Minghong Yao; Shafei Wang (CoRR, 2025)

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering. - Xiao Long; Liansheng Zhuang; Chen Shen; Shaotian Yan; Yifei Li; Shafei Wang (CoRR, 2025)

Purified Policy Space Response Oracles for Symmetric Zero-Sum Games. - Zhengdao Shao; Liansheng Zhuang; Yihong Huang; Houqiang Li; Shafei Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)

COPSRO: An Offline Empirical Game Theoretic Method With Conservative Critic. - Zhengdao Shao; Liansheng Zhuang; Houqiang Li; Shafei Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)