A Gradient BYY Harmony Learning Algorithm on Mixture of Experts for Curve Detection. - Zhiwu Lu 001; QianSheng Cheng; Jinwen Ma (IDEAL, 2005)

Unsupervised Image Segmentation Using an Iterative Entropy Regularized Likelihood Learning Algorithm. - Zhiwu Lu 001 (ISNN (2), 2006)

A Regularized Minimum Cross-Entropy Algorithm on Mixtures of Experts for Time Series Prediction. - Zhiwu Lu 001 (ISNN (2), 2006)

A Gradient Entropy Regularized Likelihood Learning Algorithm on Gaussian Mixture with Automatic Model Selection. - Zhiwu Lu 001; Jinwen Ma (ISNN (1), 2006)

A Publishing Framework for Digitally Augmented Paper Documents: Towards Cross-Media Information Integration. - Xiaoqing Lu; Zhiwu Lu 001 (PCM, 2006)

A Generalized Competitive Learning Algorithm on Gaussian Mixture with Automatic Model Selection. - Zhiwu Lu 001; Xiaoqing Lu (RSKT, 2006)

An iterative algorithm for entropy regularized likelihood learning on Gaussian mixture with automatic model selection. - Zhiwu Lu 001 (Neurocomputing, 2006)

A regularized minimum cross-entropy algorithm on mixtures of experts for time series prediction and curve detection. - Zhiwu Lu 001 (Pattern Recognit. Lett., 2006)

Asymptotic Convergence Properties of Entropy Regularized Likelihood Learning on Finite Mixtures with Automatic Model Selection. - Zhiwu Lu 001; Xiaoqing Lu; Zhiyuan Ye (ISNN (1), 2007)

Unsupervised Image Categorization Using Constrained Entropy-Regularized Likelihood Learning with Pairwise Constraints. - Zhiwu Lu 001; Xiaoqing Lu; Zhiyuan Ye (ISNN (1), 2007)

Entropy Regularization, Automatic Model Selection, and Unsupervised Image Segmentation. - Zhiwu Lu 001; Xiaoqing Lu; Zhiyuan Ye (PAKDD, 2007)

Entropy Regularized Likelihood Learning on Gaussian Mixture: Two Gradient Implementations for Automatic Model Selection. - Zhiwu Lu 001 (Neural Process. Lett., 2007)

From Comparing Clusterings to Combining Clusterings. - Zhiwu Lu 001; Yuxin Peng; Jianguo Xiao (AAAI, 2008)

Unsupervised learning of finite mixtures using entropy regularization and its application to image segmentation. - Zhiwu Lu 001; Yuxin Peng; Jianguo Xiao (CVPR, 2008)

A Semi-supervised Learning Algorithm on Gaussian Mixture with Automatic Model Selection. - Zhiwu Lu 001; Yuxin Peng (Neural Process. Lett., 2008)

Image Categorization Based on a Hierarchical Spatial Markov Model. - Lihua Wang 004; Zhiwu Lu 001; Horace Ho-Shing Ip (CAIP, 2009)

View topics: automatically generated characteristic view for content-based 3D object retrieval. - Qizhen He; Zhiwu Lu 001; Horace Ho-Shing Ip (CIVR, 2009)

Context-based multi-label image annotation. - Zhiwu Lu 001; Horace Ho-Shing Ip; Qizhen He (CIVR, 2009)

Image categorization with spatial mismatch kernels. - Zhiwu Lu 001; Horace Ho-Shing Ip (CVPR, 2009)

Image categorization by learning with context and consistency. - Zhiwu Lu 001; Horace Ho-Shing Ip (CVPR, 2009)

Semantic concept annotation based on audio PLSA model. - Yuxin Peng; Zhiwu Lu 001; Jianguo Xiao (ACM Multimedia, 2009)

Generalized Relevance Models for Automatic Image Annotation. - Zhiwu Lu 001; Horace Ho-Shing Ip (PCM, 2009)

Generalized Competitive Learning of Gaussian Mixture Models. - Zhiwu Lu 001; Horace Ho-Shing Ip (IEEE Trans. Syst. Man Cybern. Part B, 2009)

Constrained Spectral Clustering via Exhaustive and Efficient Constraint Propagation. - Zhiwu Lu 001; Horace Ho-Shing Ip (ECCV (6), 2010)

Action Recognition Based on Learnt Motion Semantic Vocabulary. - Qiong Zhao; Zhiwu Lu 001; Horace Ho-Shing Ip (PCM (1), 2010)

Image categorization via robust pLSA. - Zhiwu Lu 001; Yuxin Peng; Horace Ho-Shing Ip (Pattern Recognit. Lett., 2010)

Gaussian mixture learning via robust competitive agglomeration. - Zhiwu Lu 001; Yuxin Peng; Horace Ho-Shing Ip (Pattern Recognit. Lett., 2010)

Combining Context, Consistency, and Diversity Cues for Interactive Image Categorization. - Zhiwu Lu 001; Horace Ho-Shing Ip (IEEE Trans. Multim., 2010)

Symmetric Graph Regularized Constraint Propagation. - Zhenyong Fu; Zhiwu Lu 001; Horace Ho-Shing Ip; Yuxin Peng; Hongtao Lu 001 (AAAI, 2011)

Latent Semantic Learning by Efficient Sparse Coding with Hypergraph Regularization. - Zhiwu Lu 001; Yuxin Peng (AAAI, 2011)

Spectral learning of latent semantics for action recognition. - Zhiwu Lu 001; Yuxin Peng; Horace Ho-Shing Ip (ICCV, 2011)

Multi-modal constraint propagation for heterogeneous image clustering. - Zhenyong Fu; Horace Ho-Shing Ip; Hongtao Lu 001; Zhiwu Lu 001 (ACM Multimedia, 2011)

Combining latent semantic learning and reduced hypergraph learning for semi-supervised image categorization. - Zhiwu Lu 001; Yuxin Peng (ACM Multimedia, 2011)

Exhaustive and Efficient Constraint Propagation: A Semi-Supervised Learning Perspective and Its Applications - Zhiwu Lu 001; Horace Ho-Shing Ip; Yuxin Peng (CoRR, 2011)

Robust Image Analysis by L1-Norm Semi-supervised Learning - Zhiwu Lu 001; Yuxin Peng (CoRR, 2011)

Combining multiple clusterings using fast simulated annealing. - Zhiwu Lu 001; Yuxin Peng; Horace Ho-Shing Ip (Pattern Recognit. Lett., 2011)

Contextual Kernel and Spectral Methods for Learning the Semantics of Images. - Zhiwu Lu 001; Horace Ho-Shing Ip; Yuxin Peng (IEEE Trans. Image Process., 2011)

Spatial Markov Kernels for Image Categorization and Annotation. - Zhiwu Lu 001; Horace Ho-Shing Ip (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Automatic Image Annotation Based on Generalized Relevance Models. - Zhiwu Lu 001; Horace Ho-Shing Ip (J. Signal Process. Syst., 2011)

Heterogeneous Constraint Propagation with Constrained Sparse Representation. - Zhiwu Lu 001; Yuxin Peng (ICDM, 2012)

Modalities consensus for multi-modal constraint propagation. - Zhenyong Fu; Hongtao Lu 001; Horace Ho-Shing Ip; Zhiwu Lu 001 (ACM Multimedia, 2012)

Image annotation by semantic sparse recoding of visual content. - Zhiwu Lu 001; Yuxin Peng (ACM Multimedia, 2012)

Unified Constraint Propagation on Multi-View Data. - Zhiwu Lu 001; Yuxin Peng (AAAI, 2013)

Multimodal semi-supervised image classification by combining tag refinement, graph-based learning and support vector regression. - Wenxuan Xie; Zhiwu Lu 001; Yuxin Peng; Jianguo Xiao (ICIP, 2013)

Learning Descriptive Visual Representation by Semantic Regularized Matrix Factorization. - Zhiwu Lu 001; Yuxin Peng (IJCAI, 2013)

Exhaustive and Efficient Constraint Propagation: A Graph-Based Learning Approach and Its Applications. - Zhiwu Lu 001; Yuxin Peng (Int. J. Comput. Vis., 2013)

L1-graph construction using structured sparsity. - Guangyao Zhou; Zhiwu Lu 001; Yuxin Peng (Neurocomputing, 2013)

Latent semantic learning with structured sparse representation for human action recognition. - Zhiwu Lu 001; Yuxin Peng (Pattern Recognit., 2013)

Direct Semantic Analysis for Social Image Classification. - Zhiwu Lu 001; Liwei Wang 001; Ji-Rong Wen (AAAI, 2014)

Can Image-Level Labels Replace Pixel-Level Labels for Image Parsing. - Zhiwu Lu 001; Liwei Wang 001 (CoRR, 2014)

Graph-based multimodal semi-supervised image classification. - Wenxuan Xie; Zhiwu Lu 001; Yuxin Peng; Jianguo Xiao (Neurocomputing, 2014)

Spatial temporal pyramid matching using temporal sparse representation for human motion retrieval. - Liuyang Zhou; Zhiwu Lu 001; Howard Leung; Lifeng Shang (Vis. Comput., 2014)

Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding. - Zhiwu Lu 001; Xin Gao 001; Liwei Wang 001; Ji-Rong Wen; Songfang Huang (AAAI, 2015)

Social Image Parsing by Cross-Modal Data Refinement. - Zhiwu Lu 001; Xin Gao 001; Songfang Huang; Liwei Wang 001; Ji-Rong Wen (IJCAI, 2015)

Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing. - Yulei Niu; Zhiwu Lu 001; Songfang Huang; Peng Han 005; Ji-Rong Wen (IJCAI, 2015)

Community Based Spammer Detection in Social Networks. - Dehai Liu; Benjin Mei; Jinchuan Chen; Zhiwu Lu 001; Xiaoyong Du 001 (WAIM, 2015)

Pairwise Constraint Propagation: A Survey. - Zhenyong Fu; Zhiwu Lu 001 (CoRR, 2015)

Pairwise Constraint Propagation on Multi-View Data. - Zhiwu Lu 001; Liwei Wang 001 (CoRR, 2015)

Local similarity learning for pairwise constraint propagation. - Zhenyong Fu; Zhiwu Lu 001; Horace H. S. Ip; Hongtao Lu 001; Yunyun Wang (Multim. Tools Appl., 2015)

Learning descriptive visual representation for image classification and annotation. - Zhiwu Lu 001; Liwei Wang 001 (Pattern Recognit., 2015)

Noise-robust semi-supervised learning via fast sparse coding. - Zhiwu Lu 001; Liwei Wang 001 (Pattern Recognit., 2015)

Semantic Sparse Recoding of Visual Content for Image Applications. - Zhiwu Lu 001; Peng Han 005; Liwei Wang 001; Ji-Rong Wen (IEEE Trans. Image Process., 2015)

Segmentation with Selectively Propagated Constraints. - Peng Han 005; Guangzhen Liu; Songfang Huang; Wenwu Yuan; Zhiwu Lu 001 (ICONIP (2), 2016)

Large Scale Sparse Clustering. - Ruqi Zhang; Zhiwu Lu 001 (IJCAI, 2016)

CMsearch: simultaneous exploration of protein sequence space and structure space improves not only protein homology detection but also protein structure prediction. - Xuefeng Cui; Zhiwu Lu 001; Sheng Wang 001; Jim Jing-Yan Wang; Xin Gao 001 (Bioinform., 2016)

Image classification by visual bag-of-words refinement and reduction. - Zhiwu Lu 001; Liwei Wang 001; Ji-Rong Wen (Neurocomputing, 2016)

FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation. - Yulei Niu; Zhiwu Lu 001; Songfang Huang; Xin Gao 001; Ji-Rong Wen (AAAI, 2017)

Graph-boosted convolutional neural networks for semantic segmentation. - Guangzhen Liu; Peng Han 005; Yulei Niu; Wenwu Yuan; Zhiwu Lu 001; Ji-Rong Wen (IJCNN, 2017)

Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics. - Aoxue Li; Zhiwu Lu 001; Liwei Wang 001; Tao Xiang 002; Xinqi Li; Ji-Rong Wen (CoRR, 2017)

RUM: network Representation learning throUgh Multi-level structural information preservation. - Yanlei Yu; Zhiwu Lu 001; Jiajun Liu; Guoping Zhao; Ji-Rong Wen; Kai Zheng 001 (CoRR, 2017)

Learning from Weak and Noisy Labels for Semantic Segmentation. - Zhiwu Lu 001; Zhenyong Fu; Tao Xiang 002; Peng Han 005; Liwei Wang 001; Xin Gao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Multi-instance dictionary learning via multivariate performance measure optimization. - Jim Jing-Yan Wang; Ivor Wai-Hung Tsang; Xuefeng Cui; Zhiwu Lu 001; Xin Gao 001 (Pattern Recognit., 2017)

Zero-Shot Scene Classification for High Spatial Resolution Remote Sensing Images. - Aoxue Li; Zhiwu Lu 001; Liwei Wang 001; Tao Xiang 002; Ji-Rong Wen (IEEE Trans. Geosci. Remote. Sens., 2017)

Extreme Reverse Projection Learning for Zero-Shot Recognition. - Jiechao Guan; An Zhao; Zhiwu Lu 001 (ACCV (1), 2018)

DeepInsight: Multi-Task Multi-Scale Deep Learning for Mental Disorder Diagnosis. - Mingyu Ding; Yuqi Huo; Jun Hu; Zhiwu Lu 001 (BMVC, 2018)

Zero-Shot Learning with Superclasses. - Yuqi Huo; Mingyu Ding; An Zhao; Jun Hu; Ji-Rong Wen; Zhiwu Lu 001 (ICONIP (3), 2018)

InsightGAN: Semi-Supervised Feature Learning with Generative Adversarial Network for Drug Abuse Detection. - Guangzhen Liu; Jun Hu; An Zhao; Mingyu Ding; Yuqi Huo; Zhiwu Lu 001 (ICONIP (3), 2018)

Domain-Invariant Projection Learning for Zero-Shot Recognition. - An Zhao; Mingyu Ding; Jiechao Guan; Zhiwu Lu 001; Tao Xiang 002; Ji-Rong Wen (NeurIPS, 2018)

Zero-Shot Learning with Sparse Attribute Propagation. - Nanyi Fei; Jiajun Liu; Jiechao Guan; Zhiwu Lu 001; Tao Xiang 002; Ji-Rong Wen (CoRR, 2018)

Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation. - Aoxue Li; Zhiwu Lu 001; Liwei Wang 001; Peng Han 005; Ji-Rong Wen (IEEE Trans. Cybern., 2018)

Face-Focused Cross-Stream Network for Deception Detection in Videos. - Mingyu Ding; An Zhao; Zhiwu Lu 001; Tao Xiang 002; Ji-Rong Wen (CVPR, 2019)

Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy. - Aoxue Li; Tiange Luo; Zhiwu Lu 001; Tao Xiang 002; Liwei Wang 001 (CVPR, 2019)

Recursive Visual Attention in Visual Dialog. - Yulei Niu; Hanwang Zhang; Manli Zhang; Jianhong Zhang; Zhiwu Lu 001; Ji-Rong Wen (CVPR, 2019)

RUM: Network Representation Learning Using Motifs. - Yanlei Yu; Zhiwu Lu 001; Jiajun Liu; Guoping Zhao; Ji-Rong Wen (ICDE, 2019)

Zero-Shot Learning with Few Seen Class Samples. - Yuqi Huo; Jiechao Guan; Jianhong Zhang; Manli Zhang; Ji-Rong Wen; Zhiwu Lu 001 (ICME, 2019)

Joint Projection and Subspace Learning for Zero-Shot Recognition. - Guangzhen Liu; Jiechao Guan; Manli Zhang; Jianhong Zhang; Zihao Wang; Zhiwu Lu 001 (ICME, 2019)

Coarse-to-Fine Grained Classification. - Yuqi Huo; Yao Lu; Yulei Niu; Zhiwu Lu 001; Ji-Rong Wen (SIGIR, 2019)

Mobile Video Action Recognition. - Yuqi Huo; Xiaoli Xu 003; Yao Lu; Yulei Niu; Zhiwu Lu 001; Ji-Rong Wen (CoRR, 2019)

Cross-domain mapping learning for transductive zero-shot learning. - Mingyu Ding; Zhe Wang 006; Zhiwu Lu 001 (Comput. Vis. Image Underst., 2019)

Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation. - Yulei Niu; Zhiwu Lu 001; Ji-Rong Wen; Tao Xiang 002; Shih-Fu Chang (IEEE Trans. Image Process., 2019)

Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow. - Mingyu Ding; Zhe Wang 006; Bolei Zhou; Jianping Shi; Zhiwu Lu 001; Ping Luo 002 (AAAI, 2020)

Few-Shot Zero-Shot Learning: Knowledge Transfer with Less Supervision. - Nanyi Fei; Jiechao Guan; Zhiwu Lu 001; Yizhao Gao 004 (ACCV (3), 2020)

Large-Scale Cross-Domain Few-Shot Learning. - Jiechao Guan; Manli Zhang; Zhiwu Lu 001 (ACCV (3), 2020)

Learning Depth-Guided Convolutions for Monocular 3D Object Detection. - Mingyu Ding; Yuqi Huo; Hongwei Yi; Zhe Wang 006; Jianping Shi; Zhiwu Lu 001; Ping Luo 002 (CVPR, 2020)

Lightweight Action Recognition in Compressed Videos. - Yuqi Huo; Xiaoli Xu 003; Yao Lu; Yulei Niu; Mingyu Ding; Zhiwu Lu 001; Tao Xiang 002; Ji-Rong Wen (ECCV Workshops (2), 2020)

Discriminativeness-Preserved Domain Adaptation for Few-Shot Learning. - Guangzhen Liu; Zhiwu Lu 001 (IEEE Access, 2020)

AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning. - Jianhong Zhang; Manli Zhang; Zhiwu Lu 001; Tao Xiang 002; Ji-Rong Wen (CoRR, 2020)

Domain-Adaptive Few-Shot Learning. - An Zhao; Mingyu Ding; Zhiwu Lu 001; Tao Xiang 002; Yulei Niu; Jiechao Guan; Ji-Rong Wen; Ping Luo 002 (CoRR, 2020)

Margin-Based Transfer Bounds for Meta Learning with Deep Feature Embedding. - Jiechao Guan; Zhiwu Lu 001; Tao Xiang 002; Timothy M. Hospedales (CoRR, 2020)

Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning. - Aoxue Li; Zhiwu Lu 001; Jiechao Guan; Tao Xiang 002; Liwei Wang 001; Ji-Rong Wen (Int. J. Comput. Vis., 2020)

A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry. - Yao Lu; Xiaoli Xu 003; Mingyu Ding; Zhiwu Lu 001; Tao Xiang 002 (AAAI, 2021)

HR-NAS: Searching Efficient High-Resolution Neural Architectures With Lightweight Transformers. - Mingyu Ding; Xiaochen Lian; Linjie Yang; Peng Wang 037; Xiaojie Jin; Zhiwu Lu 001; Ping Luo 002 (CVPR, 2021)

Counterfactual VQA: A Cause-Effect Look at Language Bias. - Yulei Niu; Kaihua Tang; Hanwang Zhang; Zhiwu Lu 001; Xian-Sheng Hua 001; Ji-Rong Wen (CVPR, 2021)

L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing. - Guoxing Yang; Nanyi Fei; Mingyu Ding; Guangzhen Liu; Zhiwu Lu 001; Tao Xiang 002 (CVPR, 2021)

Z-Score Normalization, Hubness, and Few-Shot Learning. - Nanyi Fei; Yizhao Gao 004; Zhiwu Lu 001; Tao Xiang 002 (ICCV, 2021)

MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning. - Nanyi Fei; Zhiwu Lu 001; Tao Xiang 002; Songfang Huang (ICLR, 2021)

IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning. - Manli Zhang; Jianhong Zhang; Zhiwu Lu 001; Tao Xiang 002; Mingyu Ding; Songfang Huang (ICLR, 2021)

Complex Action Segmentation in Compressed Videos. - Hongfeng Han; Guoxing Yang; Yuqi Huo; Zhiwu Lu 001; Ji-Rong Wen (ICME, 2021)

Weakly-Supervised Attribute Segmentation. - Guangzhen Liu; Zhiwu Lu 001 (ICME, 2021)

Self-Supervised Video Representation Learning with Constrained Spatiotemporal Jigsaw. - Yuqi Huo; Mingyu Ding; Haoyu Lu; Ziyuan Huang; Mingqian Tang; Zhiwu Lu 001; Tao Xiang 002 (IJCAI, 2021)

Compressed Video Contrastive Learning. - Yuqi Huo; Mingyu Ding; Haoyu Lu; Nanyi Fei; Zhiwu Lu 001; Ji-Rong Wen; Ping Luo 002 (NeurIPS, 2021)

Contrastive prototype learning with augmented embeddings for few-shot learning. - Yizhao Gao 004; Nanyi Fei; Guangzhen Liu; Zhiwu Lu 001; Tao Xiang 002 (UAI, 2021)

Vid2Int: Detecting Implicit Intention from Long Dialog Videos. - Xiaoli Xu 003; Yao Lu; Zhiwu Lu 001; Tao Xiang 002 (WACV, 2021)

AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning. - Jianhong Zhang; Manli Zhang; Zhiwu Lu 001; Tao Xiang 002 (WACV, 2021)

Domain-Adaptive Few-Shot Learning. - An Zhao; Mingyu Ding; Zhiwu Lu 001; Tao Xiang 002; Yulei Niu; Jiechao Guan; Ji-Rong Wen (WACV, 2021)

Pre-trained models: Past, present and future. - Xu Han 007; Zhengyan Zhang; Ning Ding 002; Yuxian Gu; Xiao Liu 036; Yuqi Huo; Jiezhong Qiu; Yuan Yao 013; Ao Zhang; Liang Zhang; Wentao Han; Minlie Huang; et al. (AI Open, 2021)

Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning. - Yizhao Gao 004; Nanyi Fei; Guangzhen Liu; Zhiwu Lu 001; Tao Xiang 002; Songfang Huang (CoRR, 2021)

WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training. - Yuqi Huo; Manli Zhang; Guangzhen Liu; Haoyu Lu; Yizhao Gao 004; Guoxing Yang; Jingyuan Wen; Heng Zhang; Baogui Xu; Weihao Zheng; Zongzheng Xi; Yueqian Yang; et al. (CoRR, 2021)

Pre-Trained Models: Past, Present and Future. - Xu Han 007; Zhengyan Zhang; Ning Ding 002; Yuxian Gu; Xiao Liu 036; Yuqi Huo; Jiezhong Qiu; Liang Zhang; Wentao Han; Minlie Huang; Qin Jin; Yanyan Lan; et al. (CoRR, 2021)

WenLan 2.0: Make AI Imagine via a Multimodal Foundation Model. - Nanyi Fei; Zhiwu Lu 001; Yizhao Gao 004; Guoxing Yang; Yuqi Huo; Jingyuan Wen; Haoyu Lu; Ruihua Song; Xin Gao 001; Tao Xiang 002; Hao Sun 002; Ji-Rong Wen (CoRR, 2021)

Zero and Few Shot Learning With Semantic Feature Synthesis and Competitive Learning. - Jiechao Guan; Zhiwu Lu 001; Tao Xiang 002; Aoxue Li; An Zhao; Ji-Rong Wen (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions. - Yulei Niu; Hanwang Zhang; Zhiwu Lu 001; Shih-Fu Chang (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition. - Zhaoxin Fan; Zhenbo Song; Hongyan Liu 002; Zhiwu Lu 001; Jun He 008; Xiaoyong Du 001 (AAAI, 2022)

SST-VLM: Sparse Sampling-Twice Inspired Video-Language Model. - Yizhao Gao 004; Zhiwu Lu 001 (ACCV (4), 2022)

Visual Prompt Tuning for Few-Shot Text Classification. - Jingyuan Wen; Yutian Luo; Nanyi Fei; Guoxing Yang; Zhiwu Lu 001; Hao Jiang 022; Jie Jiang; Zhao Cao (COLING, 2022)

COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval. - Haoyu Lu; Nanyi Fei; Yuqi Huo; Yizhao Gao 004; Zhiwu Lu 001; Ji-Rong Wen (CVPR, 2022)

Text2Poster: Laying Out Stylized Texts on Retrieved Images. - Chuhao Jin; Hongteng Xu; Ruihua Song; Zhiwu Lu 001 (ICASSP, 2022)

Learning Versatile Neural Architectures by Propagating Network Codes. - Mingyu Ding; Yuqi Huo; Haoyu Lu; Linjie Yang; Zhe Wang 006; Zhiwu Lu 001; Jingdong Wang 001; Ping Luo 002 (ICLR, 2022)

Task Relatedness-Based Generalization Bounds for Meta Learning. - Jiechao Guan; Zhiwu Lu 001 (ICLR, 2022)

Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning. - Jiechao Guan; Zhiwu Lu 001 (ICML, 2022)

BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling. - Yizhao Gao 004; Nanyi Fei; Haoyu Lu; Zhiwu Lu 001; Hao Jiang 022; Yijie Li; Zhao Cao (NeurIPS, 2022)

Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms. - Jiechao Guan; Yong Liu 018; Zhiwu Lu 001 (NeurIPS, 2022)

LGDN: Language-Guided Denoising Network for Video-Language Modeling. - Haoyu Lu; Mingyu Ding; Nanyi Fei; Yuqi Huo; Zhiwu Lu 001 (NeurIPS, 2022)

Supervised Contrastive Learning for Few-Shot Action Classification. - Hongfeng Han; Nanyi Fei; Zhiwu Lu 001; Ji-Rong Wen (ECML/PKDD (3), 2022)

Multimodal foundation models are better simulators of the human brain. - Haoyu Lu; Qiongyi Zhou; Nanyi Fei; Zhiwu Lu 001; Mingyu Ding; Jingyuan Wen; Changde Du; Xin Zhao 018; Hao Sun 002; Huiguang He; Ji-Rong Wen (CoRR, 2022)

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language. - Bing Su 001; Dazhao Du; Zhao Yang 006; Yujie Zhou; Jiangmeng Li; Anyi Rao; Hao Sun 002; Zhiwu Lu 001; Ji-Rong Wen (CoRR, 2022)

Song-to-Video Translation: Writing a Video from Song Lyrics Based on Multimodal Pre-training. - Feifei Fu; Zelong Sun; Guoxing Yang; Xiaolong He 003; Zhiwu Lu 001 (ADMA (2), 2023)

R-STAR: Robust Self-Taught Task-Wise Reweighting for Rehearsal-Based Class Incremental Learning. - Yutian Luo; Yizhao Gao 004; Haoran Wu; Ruitao Ma; Zhiwu Lu 001 (ECAI, 2023)

Task-Sensitive Discriminative Mutual Attention Network for Few-Shot Learning. - Baogui Xu; Chengjin Xu; Zhiwu Lu 001; Bing Su 001 (ECAI, 2023)

Mixup-Inspired Video Class-Incremental Learning. - Jinqiang Long; Yizhao Gao 004; Zhiwu Lu 001 (ICDM, 2023)

DiST-GAN: Distillation-based Semantic Transfer for Text-Guided Face Generation. - Guoxing Yang; Feifei Fu; Nanyi Fei; Haoran Wu; Ruitao Ma; Zhiwu Lu 001 (ICME, 2023)

CMMT: Cross-Modal Meta-Transformer for Video-Text Retrieval. - Yizhao Gao 004; Zhiwu Lu 001 (ICMR, 2023)

Learning with Adaptive Knowledge for Continual Image-Text Modeling. - Yutian Luo; Yizhao Gao 004; Zhiwu Lu 001 (ICMR, 2023)

Shot Retrieval and Assembly with Text Script for Video Montage Generation. - Guoxing Yang; Haoyu Lu; Zelong Sun; Zhiwu Lu 001 (ICMR, 2023)

TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World. - Hongpeng Lin; Ludan Ruan; Wenke Xia; Peiyu Liu 002; Jingyuan Wen; Yixin Xu; Di Hu 001; Ruihua Song; Wayne Xin Zhao; Qin Jin; Zhiwu Lu 001 (ACM Multimedia, 2023)

Binary Neural Network for Video Action Recognition. - Hongfeng Han; Zhiwu Lu 001; Ji-Rong Wen (MMM (1), 2023)

CTDA: Contrastive Temporal Domain Adaptation for Action Segmentation. - Hongfeng Han; Zhiwu Lu 001; Ji-Rong Wen (MMM (2), 2023)

Improvable Gap Balancing for Multi-Task Learning. - Yanqi Dai; Nanyi Fei; Zhiwu Lu 001 (UAI, 2023)

TikTalk: A Multi-Modal Dialogue Dataset for Real-World Chitchat. - Hongpeng Lin; Ludan Ruan; Wenke Xia; Peiyu Liu 002; Jingyuan Wen; Yixin Xu; Di Hu 001; Ruihua Song; Wayne Xin Zhao; Qin Jin; Zhiwu Lu 001 (CoRR, 2023)

VDT: An Empirical Study on Video Diffusion with Transformers. - Haoyu Lu; Guoxing Yang; Nanyi Fei; Yuqi Huo; Zhiwu Lu 001; Ping Luo 002; Mingyu Ding (CoRR, 2023)

Text-to-Chinese-painting Method Based on Multi-domain VQGAN. - Zelong Sun; Guoxing Yang; Jingyuan Wen; Nanyi Fei; Zhiwu Lu 001; Jirong Wen (Int. J. Softw. Informatics, 2023)

Cross-modal Contrastive Learning for Generalizable and Efficient Image-text Retrieval. - Haoyu Lu; Yuqi Huo; Mingyu Ding; Nanyi Fei; Zhiwu Lu 001 (Mach. Intell. Res., 2023)

Dual-Enhanced Coreset Selection with Class-Wise Collaboration for Online Blurry Class Incremental Learning. - Yutian Luo; Shiqi Zhao; Haoran Wu; Zhiwu Lu 001 (CVPR, 2024)

VEMO: A Versatile Elastic Multi-modal Model for Search-Oriented Multi-task Learning. - Nanyi Fei; Hao Jiang 022; Haoyu Lu; Jinqiang Long; Yanqi Dai; Tuo Fan; Zhao Cao; Zhiwu Lu 001 (ECIR (1), 2024)

Unsupervised Continual Learning of Image Representation Via Rememory-Based Simsiam. - Feifei Fu; Yizhao Gao 004; Zhiwu Lu 001; Haoran Wu; Shiqi Zhao (ICASSP, 2024)

Image Retrieval with Composed Query by Multi-Scale Multi-Modal Fusion. - Zelong Sun; Guoxing Yang; Zhiwu Lu 001; Hao Jiang 022; Guojie Zhu; Zhao Cao (ICASSP, 2024)

Progressive Image Synthesis from Semantics to Details with Denoising Diffusion GAN. - Guoxing Yang; Haoyu Lu; Chongxuan Li; Guang Zhou; Haoran Wu; Zhiwu Lu 001 (ICASSP, 2024)

Multi-Level Contrastive Learning For Hybrid Cross-Modal Retrieval. - Yiming Zhao; Haoyu Lu; Shiqi Zhao; Haoran Wu; Zhiwu Lu 001 (ICASSP, 2024)

UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling. - Haoyu Lu; Yuqi Huo; Guoxing Yang; Zhiwu Lu 001; Wei Zhan; Masayoshi Tomizuka; Mingyu Ding (ICLR, 2024)

VDT: General-purpose Video Diffusion Transformers via Mask Modeling. - Haoyu Lu; Guoxing Yang; Nanyi Fei; Yuqi Huo; Zhiwu Lu 001; Ping Luo 002; Mingyu Ding (ICLR, 2024)

Enhancing Class-Incremental Learning for Image Classification via Bidirectional Transport and Selective Momentum. - Feifei Fu; Yizhao Gao 004; Zhiwu Lu 001 (ICMR, 2024)

FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding. - Dong Jing; Xiaolong He 003; Yutian Luo; Nanyi Fei; Guoxing Yang; Wei Wei; Huiwen Zhao; Zhiwu Lu 001 (NeurIPS, 2024)

CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning. - Yanqi Dai; Dong Jing; Nanyi Fei; Zhiwu Lu 001 (CoRR, 2024)

Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of Experts. - Jinqiang Long; Yanqi Dai; Guoxing Yang; Hongpeng Lin; Nanyi Fei; Yizhao Gao 004; Zhiwu Lu 001 (CoRR, 2024)

Leveraging Large Vision-Language Model as User Intent-Aware Encoder for Composed Image Retrieval. - Zelong Sun; Dong Jing; Guoxing Yang; Nanyi Fei; Zhiwu Lu 001 (AAAI, 2025)

Enhancing Data-Free Class-Incremental Learning via Image-Centric Dual Distillation. - Feifei Fu; Zhiwu Lu 001 (ICASSP, 2025)

MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents. - Yanqi Dai; Huanran Hu; Lei Wang 198; Shengjie Jin; Xu Chen 017; Zhiwu Lu 001 (ICLR, 2025)

CoTMR: Chain-of-Thought Multi-Scale Reasoning for Training-Free Zero-Shot Composed Image Retrieval. - Zelong Sun; Dong Jing; Zhiwu Lu 001 (CoRR, 2025)

Bridging Writing Manner Gap in Visual Instruction Tuning by Creating LLM-aligned Instructions. - Dong Jing; Nanyi Fei; Zhiwu Lu 001 (CoRR, 2025)

Incentivizing Multimodal Reasoning in Large Models for Direct Robot Manipulation. - Weiliang Tang; Dong Jing; Jia-Hui Pan; Zhiwu Lu 001; Yun-Hui Liu; Li Erran Li; Mingyu Ding; Chi-Wing Fu (CoRR, 2025)

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning. - Zebin You; Shen Nie; Xiaolu Zhang; Jun Hu; Jun Zhou 011; Zhiwu Lu 001; Ji-Rong Wen; Chongxuan Li (CoRR, 2025)