2D-3D face matching using CCA. - Weilong Yang; Dong Yi; Zhen Lei 001; Jitao Sang; Stan Z. Li (FG, 2008)

Adaptive object classification in surveillance system by exploiting scene context. - Jitao Sang; Zhen Lei 001; Shengcai Liao; Stan Z. Li (CVPR Workshops, 2009)

Face Image Quality Evaluation for ISO/IEC Standards 19794-5 and 29794-5. - Jitao Sang; Zhen Lei 001; Stan Z. Li (ICB, 2009)

Partial Face Matching between Near Infrared and Visual Images in MBGC Portal Challenge. - Dong Yi; Shengcai Liao; Zhen Lei 001; Jitao Sang; Stan Z. Li (ICB, 2009)

Character-based movie summarization. - Jitao Sang; Changsheng Xu (ACM Multimedia, 2010)

Robust movie character identification and the sensitivity analysis. - Jitao Sang; Chao Liang 001; Changsheng Xu; Jian Cheng 001 (ICME, 2011)

Exploiting user information for image tag refinement. - Jitao Sang; Jing Liu 001; Changsheng Xu (ACM Multimedia, 2011)

Browse by chunks: Topic mining and organizing on web-scale social media. - Jitao Sang; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2011)

Probabilistic sequential POIs recommendation via check-in data. - Jitao Sang; Tao Mei 001; Jian-Tao Sun; Changsheng Xu; Shipeng Li 001 (SIGSPATIAL/GIS, 2012)

Saliency Aware Locality-preserving Coding for Image Classification. - Quan Fang; Jitao Sang; Changsheng Xu (ICME, 2012)

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

Collective search and recommendation in social media. - Jitao Sang (ACM Multimedia, 2012)

Right buddy makes the difference: an early exploration of social relation analysis in multimedia applications. - Jitao Sang; Changsheng Xu (ACM Multimedia, 2012)

Personalized Celebrity Video Search Based on Cross-Space Mining. - Zhengyu Deng; Jitao Sang; Changsheng Xu (PCM, 2012)

Faceted Subtopic Retrieval: Exploiting the Topic Hierarchy via a Multi-modal Framework. - Jitao Sang; Changsheng Xu (J. Multim., 2012)

Robust Face-Name Graph Matching for Movie Character Identification. - Jitao Sang; Changsheng Xu (IEEE Trans. Multim., 2012)

User-Aware Image Tag Refinement via Ternary Semantic Analysis. - Jitao Sang; Changsheng Xu; Jing Liu 001 (IEEE Trans. Multim., 2012)

Learn to Personalized Image Search From the Photo Sharing Websites. - Jitao Sang; Changsheng Xu; Dongyuan Lu (IEEE Trans. Multim., 2012)

User-Oriented Social Analysis across Social Media Sites. - Ming Yan 008; Zhengyu Deng; Jitao Sang; Changsheng Xu (ICIAP Workshops, 2013)

Personalized video recommendation based on cross-platform user modeling. - Zhengyu Deng; Jitao Sang; Changsheng Xu (ICME, 2013)

Friend transfer: Cold-start friend recommendation with cross-platform transfer learning of social knowledge. - Ming Yan 008; Jitao Sang; Tao Mei 001; Changsheng Xu (ICME, 2013)

Tag-aware image classification via Nested Deep Belief nets. - Zhaoquan Yuan; Jitao Sang; Changsheng Xu (ICME, 2013)

GIANT: geo-informative attributes for location recognition and exploration. - Quan Fang; Jitao Sang; Changsheng Xu (ACM Multimedia, 2013)

Latent feature learning in social media network. - Zhaoquan Yuan; Jitao Sang; Yan Liu 004; Changsheng Xu (ACM Multimedia, 2013)

Paint the City Colorfully: Location Visualization from Multiple Themes. - Quan Fang; Jitao Sang; Changsheng Xu; Ke Lu 002 (MMM (1), 2013)

Interaction Design for Mobile Visual Search. - Jitao Sang; Tao Mei 001; Ying-Qing Xu; Chen Zhao; Changsheng Xu; Shipeng Li 001 (IEEE Trans. Multim., 2013)

Social influence analysis and application on multimedia sharing websites. - Jitao Sang; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2013)

User-centric Social Multimedia Computing - Jitao Sang (Springer, 2014)

Social multimedia computing. - Peng Cui 001; Lexing Xie; Jitao Sang; Changsheng Xu (ACM Multimedia, 2014)

Mining Cross-network Association for YouTube Video Promotion. - Ming Yan 008; Jitao Sang; Changsheng Xu (ACM Multimedia, 2014)

Topic-Sensitive Influencer Mining in Interest-Based Social Media Networks via Hypergraph Learning. - Quan Fang; Jitao Sang; Changsheng Xu; Yong Rui (IEEE Trans. Multim., 2014)

A Unified Framework of Latent Feature Learning in Social Media. - Zhaoquan Yuan; Jitao Sang; Changsheng Xu; Yan Liu 004 (IEEE Trans. Multim., 2014)

Twitter is Faster: Personalized Time-Aware Video Recommendation from Twitter to YouTube. - Zhengyu Deng; Ming Yan 008; Jitao Sang; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2014)

Discovering Geo-Informative Attributes for Location Recognition and Exploration. - Quan Fang; Jitao Sang; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2014)

On Analyzing the 'Variety' of Big Social Multimedia. - Jitao Sang; Changsheng Xu (BigMM, 2015)

A Probabilistic Framework for Temporal User Modeling on Microblogs. - Jitao Sang; Dongyuan Lu; Changsheng Xu (CIKM, 2015)

Unified YouTube Video Recommendation via Cross-network Collaboration. - Ming Yan 008; Jitao Sang; Changsheng Xu (ICMR, 2015)

User-centric Cross-OSN Multimedia Computing. - Jitao Sang (ACM Multimedia, 2015)

Activity Sensor: Check-In Usage Mining for Local Recommendation. - Jitao Sang; Tao Mei 001; Changsheng Xu (ACM Trans. Intell. Syst. Technol., 2015)

Relational User Attribute Inference in Social Media. - Quan Fang; Jitao Sang; Changsheng Xu; M. Shamim Hossain (IEEE Trans. Multim., 2015)

Word-of-Mouth Understanding: Entity-Centric Multimodal Aspect-Opinion Mining in Social Media. - Quan Fang; Changsheng Xu; Jitao Sang; M. Shamim Hossain; Muhammad Ghulam (IEEE Trans. Multim., 2015)

Cross-OSN User Modeling by Homogeneous Behavior Quantification and Local Social Regularization. - Jitao Sang; Zhengyu Deng; Dongyuan Lu; Changsheng Xu (IEEE Trans. Multim., 2015)

YouTube Video Promotion by Cross-Network Association: @Britney to Advertise Gangnam Style. - Ming Yan 008; Jitao Sang; Changsheng Xu; M. Shamim Hossain (IEEE Trans. Multim., 2015)

Learning Feature Hierarchies: A Layer-Wise Tag-Embedded Approach. - Zhaoquan Yuan; Changsheng Xu; Jitao Sang; Shuicheng Yan; M. Shamim Hossain (IEEE Trans. Multim., 2015)

Social Multimedia Ming: From Special to General. - Jitao Sang; Changsheng Xu; Ramesh C. Jain (ISM, 2016)

Visual BFI: An Exploratory Study for Image-Based Personality Test. - Jitao Sang; Huaiwen Zhang; Changsheng Xu (PCM (1), 2016)

基于关联规则挖掘的跨网络知识关联及协同应用 (Association Rules Mining Based Cross-network Knowledge Association and Collaborative Applications). - Xiaowen Huang 001; Ming Yan 008; Jitao Sang; Changsheng Xu (计算机科学, 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)

Folksonomy-Based Visual Ontology Construction and Its Applications. - Quan Fang; Changsheng Xu; Jitao Sang; M. Shamim Hossain; Ahmed Ghoneim (IEEE Trans. Multim., 2016)

A Unified Video Recommendation by Cross-Network User Modeling. - Ming Yan 008; Jitao Sang; Changsheng Xu; M. Shamim Hossain (ACM Trans. Multim. Comput. Commun. Appl., 2016)

Hashtag-centric Immersive Search on Social Media. - Yuqi Gao; Jitao Sang; Tongwei Ren; Changsheng Xu (ACM Multimedia, 2017)

Towards SMP Challenge: Stacking of Diverse Models for Social Image Popularity Prediction. - Xiaowen Huang 001; Yuqi Gao; Quan Fang; Jitao Sang; Changsheng Xu (ACM Multimedia, 2017)

A Delicious Recipe Analysis Framework for Exploring Multi-Modal Recipes with Various Attributes. - Weiqing Min; Shuqiang Jiang; Shuhui Wang; Jitao Sang; Shuhuan Mei (ACM Multimedia, 2017)

Demographic Attribute Inference from Social Multimedia Behaviors: A Cross-OSN Approach. - Liancheng Xiang; Jitao Sang; Changsheng Xu (MMM (1), 2017)

A Demo for Image-Based Personality Test. - Huaiwen Zhang; Jiaming Zhang 006; Jitao Sang; Changsheng Xu (MMM (2), 2017)

Understanding Deep Learning Generalization by Maximum Entropy. - Guanhua Zheng; Jitao Sang; Changsheng Xu (CoRR, 2017)

Machine learning and signal processing for big multimedia analysis. - Jun Yu 002; Jitao Sang; Xinbo Gao 001 (Neurocomputing, 2017)

Overlapped user-based comparative study on photo-sharing websites. - Dongyuan Lu; Ruoshan Wu; Jitao Sang (Inf. Sci., 2017)

Guest editorial: mobile visual tagging with mobile context. - Shuqiang Jiang; Liangliang Cao; Jitao Sang; Jiebo Luo 001; Ramesh C. Jain (Multim. Syst., 2017)

Exploiting Social-Mobile Information for Location Visualization. - Jitao Sang; Quan Fang; Changsheng Xu (ACM Trans. Intell. Syst. Technol., 2017)

Who Are Your "Real" Friends: Analyzing and Distinguishing Between Offline and Online Friendships From Social Multimedia Data. - Dongyuan Lu; Jitao Sang; Zhineng Chen; Min Xu 001; Tao Mei 001 (IEEE Trans. Multim., 2017)

Being a Supercook: Joint Food Attributes and Multimodal Content Modeling for Recipe Retrieval and Exploration. - Weiqing Min; Shuqiang Jiang; Jitao Sang; Huayang Wang; Xinda Liu; Luis Herranz (IEEE Trans. Multim., 2017)

MPPR: Multi Perspective Page Rank for User Influence Estimation. - Lifang Wu; Bowen Yang; Meng Jian; Jitao Sang; Dai Zhang; Lei Zhang (BigComp, 2018)

CSAN: Contextual Self-Attention Network for User Sequential Recommendation. - Xiaowen Huang 001; Shengsheng Qian; Quan Fang; Jitao Sang; Changsheng Xu (ACM Multimedia, 2018)

Session details: Multimedia -3 (Multimedia Search). - Jitao Sang (ACM Multimedia, 2018)

Deep Learning Interpretation. - Jitao Sang (ACM Multimedia, 2018)

Deep Learning for Multimedia: Science or Technology? - Jitao Sang; Jun Yu 002; Ramesh C. Jain; Rainer Lienhart; Peng Cui 001; Jiashi Feng (ACM Multimedia, 2018)

Attention, Please! Adversarial Defense via Attention Rectification and Preservation. - Shangxi Wu; Jitao Sang; Kaiyuan Xu; Jiaming Zhang 006; Yanfeng Sun; Liping Jing; Jian Yu 001 (CoRR, 2018)

Social Relationship Labeling Based on Multimodal Behaviors and Social Interactions. - Xiaowen Huang 001; Changsheng Xu; Liancheng Xiang; Jitao Sang (IEEE Multim., 2018)

Bundled Local Features for Image Representation. - Chunjie Zhang; Jitao Sang; Guibo Zhu; Qi Tian 001 (IEEE Trans. Circuits Syst. Video Technol., 2018)

Understanding Dynamic Cross-OSN Associations for Cold-Start Recommendation. - Jitao Sang; Ming Yan 008; Changsheng Xu (IEEE Trans. Multim., 2018)

Explainable Interaction-driven User Modeling over Knowledge Graph for Sequential Recommendation. - Xiaowen Huang 001; Quan Fang; Shengsheng Qian; Jitao Sang; Yan Li 068; Changsheng Xu (ACM Multimedia, 2019)

Comprehensive Event Storyline Generation from Microblogs. - Wenjin Sun; Yuhang Wang; Yuqi Gao; Zesong Li; Jitao Sang; Jian Yu 001 (MMAsia, 2019)

Multi-source User Attribute Inference based on Hierarchical Auto-encoder. - Boyu Zhang; Xiangguo Ding; Xiaowen Huang 001; Yang Cao; Jitao Sang; Jian Yu 001 (MMAsia, 2019)

Multimodal Attribute and Feature Embedding for Activity Recognition. - Weiming Zhang; Yi Huang 037; Wanting Yu; Xiaoshan Yang; Wei Wang 354; Jitao Sang (MMAsia, 2019)

blessing in disguise: Designing Robust Turing Test by Employing Algorithm Unrobustness. - Jiaming Zhang 006; Jitao Sang; Kaiyuan Xu; Shangxi Wu; Yongli Hu; Yanfeng Sun; Jian Yu 001 (CoRR, 2019)

A Generalization Theory based on Independent and Task-Identically Distributed Assumption. - Guanhua Zheng; Jitao Sang; Houqiang Li; Jian Yu 001; Changsheng Xu (CoRR, 2019)

Towards Accuracy-Fairness Paradox: Adversarial Example-based Data Augmentation for Visual Debiasing. - Yi Zhang 101; Jitao Sang (ACM Multimedia, 2020)

Adversarial Privacy-preserving Filter. - Jiaming Zhang 006; Jitao Sang; Xian Zhao; Xiaowen Huang 001; Yanfeng Sun; Yongli Hu (ACM Multimedia, 2020)

Beyond Literal Visual Modeling: Understanding Image Metaphor Based on Literal-Implied Concept Mapping. - Chengpeng Fu; Jinqiang Wang; Jitao Sang; Jian Yu 001; Changsheng Xu (MMM (1), 2020)

Adaptive Adversarial Logits Pairing. - Shangxi Wu; Jitao Sang; Kaiyuan Xu; Guanhua Zheng; Changsheng Xu (CoRR, 2020)

MMCGAN: Generative Adversarial Network with Explicit Manifold Prior. - Guanhua Zheng; Jitao Sang; Changsheng Xu (CoRR, 2020)

An Experimental Study of Semantic Continuity for Deep Learning Models. - Shangxi Wu; Jitao Sang; Xian Zhao; Lizhang Chen (CoRR, 2020)

Locality-constrained discrete graph hashing. - Wenjie Ying; Jitao Sang; Jian Yu 001 (Neurocomputing, 2020)

Meta-path Augmented Sequential Recommendation with Contextual Co-attention Network. - Xiaowen Huang 001; Shengsheng Qian; Quan Fang; Jitao Sang; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Trustworthy Multimedia Analysis. - Xiaowen Huang 001; Jiaming Zhang 006; Yi Zhang 101; Xian Zhao; Jitao Sang (ACM Multimedia, 2021)

Pre-training also Transfers Non-Robustness. - Jiaming Zhang 006; Jitao Sang; Qi Yi; Huiwen Dong; Jian Yu 001 (CoRR, 2021)

Benign Adversarial Attack: Tricking Algorithm for Goodness. - Xian Zhao; Jiaming Zhang 006; Zhiyu Lin; Jitao Sang (CoRR, 2021)

Knowledge Graph-enhanced Sampling for Conversational Recommender System. - Mengyuan Zhao; Xiaowen Huang 001; Lixi Zhu; Jitao Sang; Jian Yu 001 (CoRR, 2021)

Understanding and Testing Generalization of Deep Networks on Out-of-Distribution Data. - Rui Hu; Jitao Sang; Jinqiang Wang; Rui Hu; Chaoquan Jiang (CoRR, 2021)

Metadata Connector: Exploiting Hashtag and Tag for Cross-OSN Event Search. - Yuqi Gao; Jitao Sang; Chengpeng Fu; Zhengjia Wang 001; Tongwei Ren; Changsheng Xu (IEEE Trans. Multim., 2021)

Robust CAPTCHAs Towards Malicious OCR. - Jiaming Zhang 006; Jitao Sang; Kaiyuan Xu; Shangxi Wu; Xian Zhao; Yanfeng Sun; Yongli Hu; Jian Yu 001 (IEEE Trans. Multim., 2021)

Knowledge-driven Egocentric Multimodal Activity Recognition. - Yi Huang 037; Xiaoshan Yang; Junyu Gao 002; Jitao Sang; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Non-generative Generalized Zero-shot Learning via Task-correlated Disentanglement and Controllable Samples Synthesis. - Yaogong Feng; Xiaowen Huang 001; Pengbo Yang; Jian Yu 001; Jitao Sang (CVPR, 2022)

Investigating and Explaining the Frequency Bias in Image Classification. - Zhiyu Lin; Yifei Gao; Jitao Sang (IJCAI, 2022)

Benign Adversarial Attack: Tricking Models for Goodness. - Jitao Sang; Xian Zhao; Jiaming Zhang 006; Zhiyu Lin (ACM Multimedia, 2022)

Counterexample Contrastive Learning for Spurious Correlation Elimination. - Jinqiang Wang; Rui Hu; Chaoquan Jiang; Rui Hu; Jitao Sang (ACM Multimedia, 2022)

Counterfactually Measuring and Eliminating Social Bias in Vision-Language Pre-training Models. - Yi Zhang 101; Junyang Wang 001; Jitao Sang (ACM Multimedia, 2022)

Towards Adversarial Attack on Vision-Language Pre-training Models. - Jiaming Zhang 006; Qi Yi; Jitao Sang (ACM Multimedia, 2022)

Debiasing Backdoor Attack: A Benign Application of Backdoor Attack in Eliminating Data Bias. - Shangxi Wu; Qiuyang He; Yi Zhang 101; Jitao Sang (CoRR, 2022)

JPEG Compression-Resistant Low-Mid Adversarial Perturbation against Unauthorized Face Recognition System. - Jiaming Zhang 006; Qi Yi; Jitao Sang (CoRR, 2022)

FairCLIP: Social Bias Elimination based on Attribute Prototype Learning and Representation Neutralization. - Junyang Wang 001; Yi Zhang 101; Jitao Sang (CoRR, 2022)

Fair Visual Recognition via Intervention with Proxy Features. - Yi Zhang 101; Jitao Sang; Junyang Wang 001 (CoRR, 2022)

Zero-shot Image Captioning by Anchor-augmented Vision-Language Space Alignment. - Junyang Wang 001; Yi Zhang 101; Ming Yan 008; Ji Zhang 011; Jitao Sang (CoRR, 2022)

Artificial Intelligence Security Competition (AISC). - Yinpeng Dong; Peng Chen; Senyou Deng; Lianji L; Yi Sun; Hanyu Zhao; Jiaxing Li; Yunteng Tan; Xinyu Liu; Yangyi Dong; Enhui Xu; Jincai Xu; et al. (CoRR, 2022)

Learning to Learn a Cold-start Sequential Recommender. - Xiaowen Huang 001; Jitao Sang; Jian Yu 001; Changsheng Xu (ACM Trans. Inf. Syst., 2022)

Image-Based Personality Questionnaire Design. - Xiaowen Huang 001; Jitao Sang; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2022)

ImageNet Pre-training Also Transfers Non-robustness. - Jiaming Zhang 006; Jitao Sang; Qi Yi; Yunfan Yang; Huiwen Dong; Jian Yu 001 (AAAI, 2023)

Towards Alleviating the Object Bias in Prompt Tuning-based Factual Knowledge Extraction. - Yuhang Wang; Dongyuan Lu; Chao Kong; Jitao Sang (ACL (Findings), 2023)

Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples. - Jiaming Zhang 006; Xingjun Ma; Qi Yi; Jitao Sang; Yu-Gang Jiang 001; Yaowei Wang 001; Changsheng Xu (CVPR, 2023)

Improved Visual Fine-tuning with Natural Language Supervision. - Junyang Wang 001; Yuanhong Xu; Juhua Hu; Ming Yan 008; Jitao Sang; Qi Qian 001 (ICCV, 2023)

From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping. - Junyang Wang 001; Ming Yan 008; Yi Zhang 101; Jitao Sang (IJCAI, 2023)

Improving The Local Stability of Deep Model With Margin Losses. - Haonan Wang; Pengbo Yang; Jitao Sang (IJCNN, 2023)

Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo Chamber. - Rui Hu; Yahan Tu; Jitao Sang (ACM Multimedia, 2023)

mPLUG-Octopus: The Versatile Assistant Empowered by A Modularized End-to-End Multimodal LLM. - Qinghao Ye; Haiyang Xu 001; Ming Yan 008; Chenlin Zhao; Junyang Wang 001; Xiaoshan Yang; Ji Zhang 011; Fei Huang 002; Jitao Sang; Changsheng Xu (ACM Multimedia, 2023)

Benign Shortcut for Debiasing: Fair Visual Recognition via Intervention with Shortcut Features. - Yi Zhang 101; Jitao Sang; Junyang Wang 001; Dongmei Jiang; Yaowei Wang 001 (ACM Multimedia, 2023)

Revisiting Visual Model Robustness: A Frequency Long-Tailed Distribution View. - Zhiyu Lin; Yifei Gao; Yunfan Yang; Jitao Sang (NeurIPS, 2023)

Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias. - Shangxi Wu; Qiuyang He; Fangzhao Wu; Jitao Sang; Yaowei Wang 001; Changsheng Xu (CoRR, 2023)

Towards Black-box Adversarial Example Detection: A Data Reconstruction-based Method. - Yifei Gao; Zhiyu Lin; Yunfan Yang; Jitao Sang (CoRR, 2023)

Introducing Foundation Models as Surrogate Models: Advancing Towards More Practical Adversarial Attacks. - Jiaming Zhang 006; Jitao Sang; Qi Yi; Changsheng Xu (CoRR, 2023)

CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility. - Guohai Xu; Jiayi Liu 004; Ming Yan 008; Haotian Xu; Jinghui Si; Zhuoran Zhou; Peng Yi; Xing Gao; Jitao Sang; Rong Zhang; Ji Zhang 011; Chao Peng; et al. (CoRR, 2023)

You talk what you read: Understanding News Comment Behavior by Dispositional and Situational Attribution. - Yuhang Wang; Yuxiang Zhang; Dongyuan Lu; Jitao Sang (CoRR, 2023)

Evaluation and Analysis of Hallucination in Large Vision-Language Models. - Junyang Wang 001; Yiyang Zhou; Guohai Xu; Pengcheng Shi; Chenlin Zhao; Haiyang Xu 001; Qinghao Ye; Ming Yan 008; Ji Zhang 011; Jihua Zhu; Jitao Sang; Haoyu Tang (CoRR, 2023)

An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation. - Junyang Wang 001; Yuhang Wang; Guohai Xu; Jing Zhang; Yukai Gu; Haitao Jia; Ming Yan 008; Ji Zhang 011; Jitao Sang (CoRR, 2023)

CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models. - Yuhang Wang; Yanxu Zhu; Chao Kong; Shuyu Wei; Xiaoyuan Yi; Xing Xie 001; Jitao Sang (CoRR, 2023)

Language-assisted Vision Model Debugger: A Sample-Free Approach to Finding Bugs. - Chaoquan Jiang; Jinqiang Wang; Rui Hu; Jitao Sang (CoRR, 2023)

Debiasing backdoor attack: A benign application of backdoor attack in eliminating data bias. - Shangxi Wu; Qiuyang He; Yi Zhang 101; Dongyuan Lu; Jitao Sang (Inf. Sci., 2023)

Towards a multimodal human activity dataset for healthcare. - Menghao Hu; Mingxuan Luo; Menghua Huang; Wenhua Meng; Baochen Xiong; Xiaoshan Yang; Jitao Sang (Multim. Syst., 2023)

Attention, Please! Adversarial Defense via Activation Rectification and Preservation. - Shangxi Wu; Jitao Sang; Kaiyuan Xu; Jiaming Zhang 006; Jian Yu 001 (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Knowledge Graph-Enhanced Sampling for Conversational Recommendation System. - Mengyuan Zhao; Xiaowen Huang 001; Lixi Zhu; Jitao Sang; Jian Yu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Low-mid adversarial perturbation against unauthorized face recognition system. - Jiaming Zhang 006; Qi Yi; Dongyuan Lu; Jitao Sang (Inf. Sci., 2023)

Adversarial Prompt Tuning for Vision-Language Models. - Jiaming Zhang 006; Xingjun Ma; Xin Wang 119; Lingyu Qiu; Jiaqi Wang 003; Yu-Gang Jiang 001; Jitao Sang (ECCV (45), 2024)

AIGCs Confuse AI Too: Investigating and Explaining Synthetic Image-induced Hallucinations in Large Vision-Language Models. - Yifei Gao; Jiaqi Wang; Zhiyu Lin; Jitao Sang (ACM Multimedia, 2024)

Poisoning for Debiasing: Fair Recognition via Eliminating Bias Uncovered in Data Poisoning. - Yi Zhang; Zhefeng Wang 001; Rui Hu; Xinyu Duan; Yi Zheng; Baoxing Huai; Jiarun Han; Jitao Sang (ACM Multimedia, 2024)

Staying in the Cat-and-Mouse Game: Towards Black-box Adversarial Example Detection. - Yifei Gao; Zhiyu Lin; Yunfan Yang; Jitao Sang; Xiaoshan Yang; Changsheng Xu (MMGR@MM, 2024)

Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration. - Junyang Wang 001; Haiyang Xu 001; Haitao Jia; Xi Zhang; Ming Yan 008; Weizhou Shen; Ji Zhang 011; Fei Huang 002; Jitao Sang (NeurIPS, 2024)

DenoiseRep: Denoising Model for Representation Learning. - Zhengrui Xu; Guan'an Wang; Xiaowen Huang; Jitao Sang (NeurIPS, 2024)

How Reliable is Your Simulator? Analysis on the Limitations of Current LLM-based User Simulators for Conversational Recommendation. - Lixi Zhu; Xiaowen Huang 001; Jitao Sang (WWW (Companion Volume), 2024)

Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception. - Junyang Wang 001; Haiyang Xu 001; Jiabo Ye; Ming Yan 008; Weizhou Shen; Ji Zhang 011; Fei Huang 002; Jitao Sang (CoRR, 2024)

Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning. - Jitao Sang; Yuhang Wang; Jing Zhang; Yanxu Zhu; Chao Kong; Junhong Ye; Shuyu Wei; Jinlin Xiao (CoRR, 2024)

Exploring the Privacy Protection Capabilities of Chinese Large Language Models. - Yuqi Yang; Xiaowen Huang 001; Jitao Sang (CoRR, 2024)

Inference-Time Rule Eraser: Distilling and Removing Bias Rules to Mitigate Bias in Deployed Models. - Yi Zhang; Jitao Sang (CoRR, 2024)

Prescribing the Right Remedy: Mitigating Hallucinations in Large Vision-Language Models via Targeted Instruction Tuning. - Rui Hu; Yahan Tu; Jitao Sang (CoRR, 2024)

Semantically consistent Video-to-Audio Generation using Multimodal Language Large Model. - Gehui Chen; Guan'an Wang; Xiaowen Huang 001; Jitao Sang (CoRR, 2024)

DenoiseReID: Denoising Model for Representation Learning of Person Re-Identification. - Zhengrui Xu; Guan'an Wang; Xiaowen Huang 001; Jitao Sang (CoRR, 2024)

A Disguised Wolf Is More Harmful Than a Toothless Tiger: Adaptive Malicious Code Injection Backdoor Attack Leveraging User Behavior as Triggers. - Shangxi Wu; Jitao Sang (CoRR, 2024)

AnyAttack: Towards Large-scale Self-supervised Generation of Targeted Adversarial Examples for Vision-Language Models. - Jiaming Zhang 006; Junhong Ye; Xingjun Ma; Yige Li; Yunfan Yang; Jitao Sang; Dit-Yan Yeung (CoRR, 2024)

Debiasing Vison-Language Models with Text-Only Training. - Yunfan Yang; Chaoquan Jiang; Zhiyu Lin; Jinlin Xiao; Jiaming Zhang 006; Jitao Sang (CoRR, 2024)

VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding. - Jiaqi Wang; Yifei Gao; Jitao Sang (CoRR, 2024)

Don't Command, Cultivate: An Exploratory Study of System-2 Alignment. - Yuhang Wang; Jitao Sang (CoRR, 2024)

o1-Coder: an o1 Replication for Coding. - Yuxiang Zhang; Shangxi Wu; Yuqi Yang; Jiangming Shu; Jinlin Xiao; Chao Kong; Jitao Sang (CoRR, 2024)

OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning. - Yuxiang Zhang; Yuqi Yang; Jiangming Shu; Yuhang Wang; Jinlin Xiao; Jitao Sang (CoRR, 2024)

TIF: Threshold Interception and Fusion for Compact and Fine-Grained Visual Attribution. - Guanhua Zheng; Jitao Sang; Changsheng Xu (IEEE Trans. Multim., 2024)

Adaptive Adversarial Logits Pairing. - Shangxi Wu; Jitao Sang; Kaiyan Xu; Guanhua Zheng; Changsheng Xu (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Encoder of Thoughts: Enhancing Planning Ability in Language Agents Through Structural Embedding. - Yuxiang Zhang; Jitao Sang (AAAI, 2025)

Investigating and Enhancing Vision-Audio Capability in Omnimodal Large Language Models. - Rui Hu; Delai Qiu; Shuyu Wei; Jiaming Zhang; Yining Wang; Shengping Liu; Jitao Sang (ACL (Findings), 2025)

KG-FPQ: Evaluating Factuality Hallucination in LLMs with Knowledge Graph-based False Premise Questions. - Yanxu Zhu; Jinlin Xiao; Yuhang Wang; Jitao Sang (COLING, 2025)

ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models. - Yahan Tu; Rui Hu; Jitao Sang (CVPR, 2025)

Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models. - Jiaming Zhang 006; Junhong Ye; Xingjun Ma; Yige Li; Yunfan Yang; Yunhao Chen; Jitao Sang; Dit-Yan Yeung (CVPR, 2025)

A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender Systems. - Lixi Zhu; Xiaowen Huang 001; Jitao Sang (WWW, 2025)

Prescribing the right remedy: Mitigating hallucinations in large vision-language models via targeted instruction tuning. - Rui Hu; Yahan Tu; Shuyu Wei; Dongyuan Lu; Jitao Sang (Inf. Sci., 2025)

MF-CLIP: Leveraging CLIP as Surrogate Models for No-Box Adversarial Attacks. - Jiaming Zhang 006; Lingyu Qiu; Qi Yi; Yige Li; Jitao Sang; Changsheng Xu; Dit-Yan Yeung (IEEE Trans. Inf. Forensics Secur., 2025)

Mobile-Agent-V: Learning Mobile Device Operation Through Video-Guided Multi-Agent Collaboration. - Junyang Wang 001; Haiyang Xu 001; Xi Zhang; Ming Yan 008; Ji Zhang 011; Fei Huang 002; Jitao Sang (CoRR, 2025)

Agent models: Internalizing Chain-of-Action Generation into Reasoning models. - Yuxiang Zhang; Yuqi Yang; Jiangming Shu; Xinyan Wen; Jitao Sang (CoRR, 2025)

Debiased Prompt Tuning in Vision-Language Model without Annotations. - Chaoquan Jiang; Yunfan Yang; Rui Hu; Jitao Sang (CoRR, 2025)

Unifying Perplexing Behaviors in Modified BP Attributions through Alignment Perspective. - Guanhua Zheng; Jitao Sang; Changsheng Xu (CoRR, 2025)

Mind with Eyes: from Language Reasoning to Multimodal Reasoning. - Zhiyu Lin; Yifei Gao; Xian Zhao; Yunfan Yang; Jitao Sang (CoRR, 2025)

NAP-Tuning: Neural Augmented Prompt Tuning for Adversarially Robust Vision-Language Models. - Jiaming Zhang 006; Xin Wang 119; Xingjun Ma; Lingyu Qiu; Yu-Gang Jiang; Jitao Sang (CoRR, 2025)

WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis. - Yifei Gao; Junhong Ye; Jiaqi Wang; Jitao Sang (CoRR, 2025)

MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions. - Yanxu Zhu; Shitong Duan; Xiangxu Zhang; Jitao Sang; Peng Zhang 060; Tun Lu; Xiao Zhou 005; Jing Yao; Xiaoyuan Yi; Xing Xie 001 (CoRR, 2025)

ITDR: An Instruction Tuning Dataset for Enhancing Large Language Models in Recommendations. - Zekun Liu; Xiaowen Huang; Jitao Sang (CoRR, 2025)

Mitigating Filter Bubble from the Perspective of Community Detection: A Universal Framework. - Ming Tang; Xiaowen Huang; Jitao Sang (CoRR, 2025)

When Algorithms Mirror Minds: A Confirmation-Aware Social Dynamic Model of Echo Chamber and Homogenization Traps. - Ming Tang; Xiaowen Huang; Jitao Sang (CoRR, 2025)

Backdoor for Debias: Mitigating Model Bias With Backdoor Attack-Based Artificial Bias. - Shangxi Wu; Qiuyang He; Jian Yu 001; Jitao Sang (IEEE Trans. Circuits Syst. Video Technol., 2025)

Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library. - Lei Cheng; Xiaowen Huang 001; Jitao Sang; Jian Yu 001 (IEEE Trans. Knowl. Data Eng., 2025)