Hidden-concept driven image decomposition towards semi-supervised multi-label image annotation. - Bing-Kun Bao; Teng Li 001; Shuicheng Yan (ICIMCS, 2009)

Efficient region-aware large graph construction towards scalable multi-label propagation. - Bing-Kun Bao; Bingbing Ni; Yadong Mu; Shuicheng Yan (Pattern Recognit., 2011)

Kinect-based visual communication system. - Chao Sun; Bing-Kun Bao; Changsheng Xu; Tao Mei 001 (ICIMCS, 2012)

Multimedia news digger on emerging topics from social streams. - Bing-Kun Bao; Weiqing Min; Jitao Sang; Changsheng Xu (ACM Multimedia, 2012)

What Happened Near Big Ben: Event-Driven Landmark Mining from Flickr. - Weiqing Min; Bing-Kun Bao; Changsheng Xu (PCM, 2012)

Inductive Robust Principal Component Analysis. - Bing-Kun Bao; Guangcan Liu; Changsheng Xu; Shuicheng Yan (IEEE Trans. Image Process., 2012)

Hidden-Concept Driven Multilabel Image Annotation and Label Ranking. - Bing-Kun Bao; Teng Li 001; Shuicheng Yan (IEEE Trans. Multim., 2012)

Latent support vector machine for sign language recognition with Kinect. - Chao Sun; Tianzhu Zhang 001; Bing-Kun Bao; Changsheng Xu (ICIP, 2013)

Social event detection with robust high-order co-clustering. - Bing-Kun Bao; Weiqing Min; Ke Lu 002; Changsheng Xu (ICMR, 2013)

Landmark History Visualization. - Weiqing Min; Bing-Kun Bao; Changsheng Xu (MMM (2), 2013)

Verb-Object Concepts Image Classification via Hierarchical Nonnegative Graph Embedding. - Chao Sun; Bing-Kun Bao; Changsheng Xu (MMM (1), 2013)

Discriminative Exemplar Coding for Sign Language Recognition With Kinect. - Chao Sun; Tianzhu Zhang 001; Bing-Kun Bao; Changsheng Xu; Tao Mei 001 (IEEE Trans. Cybern., 2013)

General Subspace Learning With Corrupted Training Data Via Graph Embedding. - Bing-Kun Bao; Guangcan Liu; Richang Hong; Shuicheng Yan; Changsheng Xu (IEEE Trans. Image Process., 2013)

Robust Image Analysis With Sparse Representation on Quantized Visual Features. - Bing-Kun Bao; Guangyu Zhu 002; Jialie Shen 001; Shuicheng Yan (IEEE Trans. Image Process., 2013)

Scene and viewpoint based visual summarization for landmarks. - Weiqing Min; Bing-Kun Bao; Changsheng Xu (ICIP, 2014)

Multimodal Spatio-Temporal Theme Modeling for Landmark Analysis. - Weiqing Min; Bing-Kun Bao; Changsheng Xu (IEEE Multim., 2014)

Robust object removal with an exemplar-based image inpainting approach. - Jing Wang 093; Ke Lu 002; Daru Pan; Ning He; Bing-Kun Bao (Neurocomputing, 2014)

Single-image motion deblurring using an adaptive image prior. - Ning He; Ke Lu 002; Bing-Kun Bao; Lu-Lu Zhang 006; Jin-Bao Wang (Inf. Sci., 2014)

Inductive hierarchical nonnegative graph embedding for "verb-object" image classification. - Chao Sun; Bing-Kun Bao; Changsheng Xu (Mach. Vis. Appl., 2014)

Mobile Landmark Search with 3D Models. - Weiqing Min; Changsheng Xu; Min Xu 001; Xian Xiao; Bing-Kun Bao (IEEE Trans. Multim., 2014)

Joint Local and Global Consistency on Interdocument and Interword Relationships for Co-Clustering. - Bing-Kun Bao; Weiqing Min; Teng Li 001; Changsheng Xu (IEEE Trans. Cybern., 2015)

Cross-Platform Multi-Modal Topic Modeling for Personalized Inter-Platform Recommendation. - Weiqing Min; Bing-Kun Bao; Changsheng Xu; M. Shamim Hossain (IEEE Trans. Multim., 2015)

Knowing Verb From Object: Retagging With Transfer Learning on Verb-Object Concept Images. - Chao Sun; Bing-Kun Bao; Changsheng Xu (IEEE Trans. Multim., 2015)

Cross-Platform Emerging Topic Detection and Elaboration from Multimedia Streams. - Bing-Kun Bao; Changsheng Xu; Weiqing Min; Mohammod Shamim Hossain (ACM Trans. Multim. Comput. Commun. Appl., 2015)

Depth-aware layered edge for object proposal. - Jing Liu; Tongwei Ren; Bing-Kun Bao; Jia Bei (ICME, 2016)

An incremental probabilistic model for temporal theme analysis of landmarks. - Weiqing Min; Bing-Kun Bao; Changsheng Xu (Multim. Syst., 2016)

Recent advances in social multimedia big data mining and applications. - Jitao Sang; Yue Gao 002; Bing-Kun Bao; Cees Snoek; Qionghai Dai (Multim. Syst., 2016)

Guest Editorial: Learning Multimedia for Real World Applications. - Bing-Kun Bao; Congyan Lang; Tao Mei 001; Alberto Del Bimbo (Multim. Tools Appl., 2016)

Multi-Modal Knowledge Representation Learning via Webly-Supervised Relationships Mining. - Fudong Nian; Bing-Kun Bao; Teng Li 001; Changsheng Xu (ACM Multimedia, 2017)

A discriminative graph inferring framework towards weakly supervised image parsing. - Lei Yu; Bing-Kun Bao; Changsheng Xu (Multim. Syst., 2017)

Scalable Cloud Service For Multimedia Analysis Based on Deep Learning. - Bing-Kun Bao; Yangyang Xiang; Lusong Li; Shuen Lyu; Harsh Munshi; Honghong Zhu (ICME Workshops, 2018)

Scene Recognition via Bi-enhanced Knowledge Space Learning. - Jin Zhang; Bing-Kun Bao; Changsheng Xu (ICS, 2018)

You Are What You Eat: Exploring Rich Recipe Information for Cross-Region Food Analysis. - Weiqing Min; Bing-Kun Bao; Shuhuan Mei; Yaohui Zhu; Yong Rui; Shuqiang Jiang (IEEE Trans. Multim., 2018)

Adversarial Representation Learning for Dynamic Scene Deblurring: A Simple, Fast and Robust Approach. - Yuan-Yuan Liu; Lu-Yue Ye; Wen-Ze Shao; Qi Ge; Li-Qian Wang; Bing-Kun Bao; Haibo Li 001 (ICIP, 2019)

Multimodal Latent Factor Model with Language Constraint for Predicate Detection. - Xuan Ma; Bing-Kun Bao; Lingling Yao; Changsheng Xu (ICIP, 2019)

Training Efficient Saliency Prediction Models with Knowledge Distillation. - Peng Zhang 024; Li Su 003; Liang Li 003; Bing-Kun Bao; Pamela C. Cosman; Guorong Li; Qingming Huang (ACM Multimedia, 2019)

Session details: Human Analysis in Multimedia. - Bing-Kun Bao (MMAsia, 2019)

Sentiment-Aware Multi-modal Recommendation on Tourist Attractions. - Junyi Wang; Bing-Kun Bao; Changsheng Xu (MMM (1), 2019)

Manifold Alignment via Global and Local Structures Preserving PCA Framework. - Timothy Apasiba Abeo; Xiangjun Shen; Ernest Domanaanmwi Ganaa; Qian Zhu 003; Bing-Kun Bao; Zheng-Jun Zha (IEEE Access, 2019)

Personalized Travel Recommendation Based on Sentiment-Aware Multimodal Topic Model. - Xi Shao; Guijin Tang; Bing-Kun Bao (IEEE Access, 2019)

Automatic Scene Recognition Based on Constructed Knowledge Space Learning. - Xi Shao; Jin Zhang; Bing-Kun Bao; Yang Xia (IEEE Access, 2019)

Dictionary-induced least squares framework for multi-view dimensionality reduction with multi-manifold embeddings. - Timothy Apasiba Abeo; Xiangjun Shen; Jianping Gou; Qirong Mao; Bing-Kun Bao; Shuying Li (IET Comput. Vis., 2019)

On potentials of regularized Wasserstein generative adversarial networks for realistic hallucination of tiny faces. - Wen-Ze Shao; Jing-Jing Xu; Long Chen; Qi Ge; Li-Qian Wang; Bing-Kun Bao; Haibo Li 001 (Neurocomputing, 2019)

Enhancing Blurred Low-Resolution Images via Exploring the Potentials of Learning-Based Super-Resolution. - Wen-Ze Shao; Bing-Kun Bao; Haibo Li 001 (Int. J. Pattern Recognit. Artif. Intell., 2019)

A generalized multi-dictionary least squares framework regularized with multi-graph embeddings. - Timothy Apasiba Abeo; Xiangjun Shen; Bing-Kun Bao; Zheng-Jun Zha; Jianping Fan 001 (Pattern Recognit., 2019)

TV2++: a novel spatial-temporal total variation for super resolution with exponential-type norm. - Lizhen Deng; Zhetao Zhou; Guoxia Xu; Hu Zhu; Bing-Kun Bao (EURASIP J. Wirel. Commun. Netw., 2020)

Relative coordinates constraint for face alignment. - Fudong Nian; Teng Li 001; Bing-Kun Bao; Changsheng Xu (Neurocomputing, 2020)

Gradient-based discriminative modeling for blind image deblurring. - Wen-Ze Shao; Yunzhi Lin; Yuan-Yuan Liu; Li-Qian Wang; Qi Ge; Bing-Kun Bao; Haibo Li 001 (Neurocomputing, 2020)

Robust low rank representation via feature and sample scaling. - Xiang-Jun Shen; Yuxuan Wang; Liangjun Wang; Sumet Mehta; Bing-Kun Bao; Jianping Fan 001 (Neurocomputing, 2020)

A generalized least-squares approach regularized with graph embedding for dimensionality reduction. - Xiang-Jun Shen; Si-Xing Liu; Bing-Kun Bao; Chunhong Pan; Zheng-Jun Zha; Jianping Fan 001 (Pattern Recognit., 2020)

DeblurGAN+: Revisiting blind motion deblurring using conditional adversarial networks. - Wen-Ze Shao; Yuan-Yuan Liu; Lu-Yue Ye; Li-Qian Wang; Qi Ge; Bing-Kun Bao; Haibo Li 001 (Signal Process., 2020)

Multi-pose Facial Expression Recognition Based on Unpaired Images. - Bairu Chen; Yibo Gan; Bing-Kun Bao (ICIG (2), 2021)

Meta-Learning Causal Feature Selection for Stable Prediction. - Zhaoquan Yuan; Xiao Peng; Xiao Wu 001; Bing-Kun Bao; Changsheng Xu (ICME, 2021)

A parallel multi-block alternating direction method of multipliers for tensor completion. - Hu Zhu; Zhongyang Wang; Taiyu Yan; Yu-Feng Yu 001; Lizhen Deng; Bing-Kun Bao (IET Image Process., 2021)

RoDeRain: Rotational Video Derain via Nonconvex and Nonsmooth Optimization. - Lizhen Deng; Guoxia Xu; Hu Zhu; Bing-Kun Bao (Mob. Networks Appl., 2021)

Cross-Domain Object Representation via Robust Low-Rank Correlation Analysis. - Xiangjun Shen; Jinghui Zhou; Zhongchen Ma; Bing-Kun Bao; Zhengjun Zha (ACM Trans. Multim. Comput. Commun. Appl., 2021)

A Densely Connected Network Based on U-Net for Medical Image Segmentation. - Zhenzhen Yang; Pengfei Xu; Yongpeng Yang; Bing-Kun Bao (ACM Trans. Multim. Comput. Commun. Appl., 2021)

DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis. - Ming Tao 002; Hao Tang 005; Fei Wu 004; Xiaoyuan Jing; Bing-Kun Bao; Changsheng Xu (CVPR, 2022)

Unbiased feature enhancement framework for cross-modality person re-identification. - Bowen Yuan; Bairu Chen; Zhiyi Tan 002; Xi Shao; Bing-Kun Bao (Multim. Syst., 2022)

River Channel Extraction in SAR Images Using Level Sets Driven by Symmetric Kullback-Leibler Distance. - Bin Han; Bing-Kun Bao (IEEE Trans. Geosci. Remote. Sens., 2022)

DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question Answering. - Jianyu Wang; Bing-Kun Bao; Changsheng Xu (IEEE Trans. Multim., 2022)

Truncated γ norm-based low-rank and sparse decomposition. - Zhenzhen Yang; Yongpeng Yang; Lu Fan; Bing-Kun Bao (Multim. Tools Appl., 2022)

DE-net: Dynamic Text-Guided Image Editing Adversarial Networks. - Ming Tao 002; Bing-Kun Bao; Hao Tang 005; Fei Wu 004; Longhui Wei; Qi Tian 001 (AAAI, 2023)

GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis. - Ming Tao 002; Bing-Kun Bao; Hao Tang 005; Changsheng Xu (CVPR, 2023)

UTM: A Unified Multiple Object Tracking Model with Identity-Aware Feature Enhancement. - Sisi You; Hantao Yao; Bing-Kun Bao; Changsheng Xu (CVPR, 2023)

TPM: Two-Stage Prediction Mechanism for Universal Adversarial Patch Defense. - Huaize Dong; Yifan Jiao; Bing-Kun Bao (ICIG (5), 2023)

Multi-level Semantic Extraction Using Graph Pooling Network for Text Representation. - Tiankui Fu; Bing-Kun Bao; Xi Shao (ICIG (4), 2023)

Multi-modal Context-Aware Network for Scene Graph Generation. - Junjie Ye; Bing-Kun Bao; Zhiyi Tan 002 (ICIG (2), 2023)

Recombination Samples Training for Robust Natural Language Visual Reasoning. - Yuling Jiang; Yingyuan Zhao; Bing-Kun Bao (ICME, 2023)

Multi-View Graph Convolutional Network for Multimedia Recommendation. - Penghang Yu; Zhiyi Tan 002; Guanming Lu; Bing-Kun Bao (ACM Multimedia, 2023)

Self-PT: Adaptive Self-Prompt Tuning for Low-Resource Visual Question Answering. - Bowen Yuan; Sisi You; Bing-Kun Bao (ACM Multimedia, 2023)

LD4MRec: Simplifying and Powering Diffusion Model for Multimedia Recommendation. - Penghang Yu; Zhiyi Tan 002; Guanming Lu; Bing-Kun Bao (CoRR, 2023)

Multiview Language Bias Reduction for Visual Question Answering. - Pengju Li; Zhiyi Tan 002; Bing-Kun Bao (IEEE Multim., 2023)

Adaptive Text Denoising Network for Image Caption Editing. - Mengqi Yuan; Bing-Kun Bao; Zhiyi Tan 002; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Centralized sub-critic based hierarchical-structured reinforcement learning for temporal sentence grounding. - Yingyuan Zhao; Zhiyi Tan 002; Bing-Kun Bao; Zhengzheng Tu (Multim. Syst., 2023)

PRM-KGED: paper recommender model using knowledge graph embedding and deep neural network. - Nimbeshaho Thierry; Bing-Kun Bao; Zafar Ali; Zhiyi Tan 002; Ingabire Batamira Christ Chatelain; Pavlos Kefalas (Appl. Intell., 2023)

RAR-SB: research article recommendation using SciBERT with BiGRU. - Nimbeshaho Thierry; Bing-Kun Bao; Zafar Ali (Scientometrics, 2023)

StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion. - Ming Tao 002; Bing-Kun Bao; Hao Tang 005; Yaowei Wang 001; Changsheng Xu (ECCV (56), 2024)

Inferring the effectiveness of epidemic prevention measures based on spatial heterogeneity modeling. - Mingyu Wu 008; Zhiyi Tan 002; Bing-Kun Bao (ICME, 2024)

Dynamic Scene Graph Generation with Unified Temporal Modeling. - Sisi You; Bing-Kun Bao (ICME, 2024)

Label Text-aided Hierarchical Semantics Mining for Panoramic Activity Recognition. - Tianshan Liu; Kin-Man Lam 001; Bing-Kun Bao (ACM Multimedia, 2024)

CoIn: A Lightweight and Effective Framework for Story Visualization and Continuation. - Ming Tao 002; Bing-Kun Bao; Hao Tang 005; Yaowei Wang 001; Changsheng Xu (ACM Multimedia, 2024)

Two-Stage Reasoning Network with Modality Decomposition for Text VQA. - Shengrong Ling; Sisi You; Bing-Kun Bao (MMM (3), 2024)

Do We Need to Design Specific Diffusion Models for Different Tasks? Try ONE-PIC. - Ming Tao 002; Bing-Kun Bao; Yaowei Wang 001; Changsheng Xu (CoRR, 2024)

Source-Guided Target Feature Reconstruction for Cross-Domain Classification and Detection. - Yifan Jiao; Hantao Yao; Bing-Kun Bao; Changsheng Xu (IEEE Trans. Image Process., 2024)

Injecting Text Clues for Improving Anomalous Event Detection From Weakly Labeled Videos. - Tianshan Liu; Kin-Man Lam 001; Bing-Kun Bao (IEEE Trans. Image Process., 2024)

GPT-Based Knowledge Guiding Network for Commonsense Video Captioning. - Mengqi Yuan; Gengyun Jia; Bing-Kun Bao (IEEE Trans. Multim., 2024)

Semantic Distance Adversarial Learning for Text-to-Image Synthesis. - Bowen Yuan; Yefei Sheng; Bing-Kun Bao; Yi-Ping Phoebe Chen; Changsheng Xu (IEEE Trans. Multim., 2024)

Multi-object Tracking with Spatial-Temporal Tracklet Association. - Sisi You; Hantao Yao; Bing-Kun Bao; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Multimodal Imbalance-Aware Gradient Modulation for Weakly-Supervised Audio-Visual Video Parsing. - Jie Fu 004; Junyu Gao 002; Bing-Kun Bao; Changsheng Xu (IEEE Trans. Circuits Syst. Video Technol., 2024)

MSGNN: Multi-scale Spatio-temporal Graph Neural Network for epidemic forecasting. - Mingjie Qiu; Zhiyi Tan 002; Bing-Kun Bao (Data Min. Knowl. Discov., 2024)

ISF-GAN: Imagine, Select, and Fuse with GPT-Based Text Enrichment for Text-to-Image Synthesis. - Yefei Sheng; Ming Tao 002; Jie Wang 061; Bing-Kun Bao (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Improving Graph Collaborative Filtering with Directional Behavior Enhanced Contrastive Learning. - Penghang Yu; Bing-Kun Bao; Zhiyi Tan 002; Guanming Lu (ACM Trans. Knowl. Discov. Data, 2024)

Unbiased Feature Learning with Causal Intervention for Visible-Infrared Person Re-Identification. - Bowen Yuan; Jiahao Lu; Sisi You; Bing-Kun Bao (ACM Trans. Multim. Comput. Commun. Appl., 2024)

InstantPainting: Expanding GANs for Efficient Text-Conditioned Image Generation Platform. - Bing-Kun Bao; Yefei Sheng; Jie Wang 061; Yaning Li; Sisi You (AAAI, 2025)

BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation. - Qile Fan; Penghang Yu; Zhiyi Tan 002; Bing-Kun Bao; Guanming Lu (AAAI, 2025)

Mind Individual Information! Principal Graph Learning for Multimedia Recommendation. - Penghang Yu; Zhiyi Tan 002; Guanming Lu; Bing-Kun Bao (AAAI, 2025)

Causal Debiasing for Visual Commonsense Reasoning. - Jiayi Zou; Gengyun Jia; Bing-Kun Bao (ICASSP, 2025)

A Novel Hybrid Epidemic Prediction Model Based on Cross-Modal Information. - Zhiyi Tan 002; Bing-Kun Bao (IEEE Multim., 2025)

SEMACOL: Semantic-enhanced multi-scale approach for text-guided grayscale image colorization. - Chaochao Niu; Ming Tao 002; Bing-Kun Bao (Pattern Recognit., 2025)

SVSRD: Spatial Visual and Statistical Relation Distillation for Class-Incremental Semantic Segmentation. - Yuyang Chang; Yifan Jiao; Bing-Kun Bao (IEEE Trans. Multim., 2025)

CookGALIP: Recipe Controllable Generative Adversarial CLIPs With Sequential Ingredient Prompts for Food Image Generation. - Mengling Xu; Jie Wang 061; Ming Tao 002; Bing-Kun Bao; Changsheng Xu (IEEE Trans. Multim., 2025)

Relation Inference Enhancement Network for Visual Commonsense Reasoning. - Mengqi Yuan; Gengyun Jia; Bing-Kun Bao (IEEE Trans. Multim., 2025)

Replay-Based Incremental Object Detection With Local Response Exploration. - Jian Zhong; Yifan Jiao; Bing-Kun Bao (IEEE Trans. Multim., 2025)

Unified Text-Image Space Alignment with Cross-Modal Prompting in CLIP for UDA. - Yifan Jiao; Chenglong Cai; Bing-Kun Bao (ACM Trans. Multim. Comput. Commun. Appl., 2025)

A Memory-Assisted Knowledge Transferring Framework with Curriculum Anticipation for Weakly Supervised Online Activity Detection. - Tianshan Liu; Kin-Man Lam 001; Bing-Kun Bao (Int. J. Comput. Vis., 2025)

ReasonGRM: Enhancing Generative Reward Models through Large Reasoning Models. - Bin Chen; Xinzge Gao; Chuanrui Hu; Penghang Yu; Hua Zhang; Bing-Kun Bao (CoRR, 2025)

TIM: A Large-Scale Dataset and large Timeline Intelligence Model for Open-domain Timeline Summarization. - Chuanrui Hu; Wei Hu; Penghang Yu; Hua Zhang; Bing-Kun Bao (CoRR, 2025)

Chain-of-Cooking:Cooking Process Visualization via Bidirectional Chain-of-Thought Guidance. - Mengling Xu; Ming Tao 002; Bing-Kun Bao (CoRR, 2025)

DMRFlow: 4D Radar Scene Flow Estimation With Decoupled Matching and Refinement. - Mingliang Zhai; Bing-Kun Bao; Xuezhi Xiang (IEEE Trans. Circuits Syst. Video Technol., 2025)

LD4MRec: simplifying and powering diffusion model for multimedia recommendation. - Jiarui Zhu; Jun Hou; Penghang Yu; Zhiyi Tan 002; Bing-Kun Bao (Multim. Syst., 2025)