| 2026 | AAAI | Membership Inference Attack Against Large Language Model-Based Recommendation Systems: A New Distillation-Based Paradigm. | Cuihong Li, Xiaowen Huang, Chuanhuan Yin, Jitao Sang |
| 2026 | AAAI | Reasoning Shapes Alignment: Investigating Cultural Alignment in Large Reasoning Models with Cultural Norms. | Yuhang Wang, Yanxu Zhu, Jitao Sang |
| 2026 | AAAI | MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions. | Yanxu Zhu, Shitong Duan, Xiangxu Zhang, Jitao Sang, Peng Zhang, Tun Lu, Xiao Zhou, Jing Yao, Xiaoyuan Yi, Xing Xie |
| 2026 | ACL | GUITester: Enabling GUI Agents for Exploratory Defect Discovery. | Yifei Gao, Jiang Wu, Xiaoyi Chen, Yifan Yang, Zhe Cui, Tianyi Ma, Jiaming Zhang, Jitao Sang |
| 2026 | ACL | WebSynthesis: World Model-Guided Monte Carlo Tree Search for Efficient WebAgent Trajectory Synthesis. | Yifei Gao, Junhong Ye, Yifan Yang, Jiaqi Wang, Yi Zhang, Ruichen Zhang, Jitao Sang |
| 2026 | ACL | VAPO: End-to-end Slide-Enhanced Speech Recognition with Omni-modal Large Language Models. | Rui Hu, Delai Qiu, Yining Wang, Shengping Liu, Jitao Sang |
| 2026 | ACL | TiMem: Temporal-Hierarchical Memory Consolidation for Long-Horizon Conversational Agents. | Kai Li, Xuanqing Yu, Ziyi Ni, Yi Zeng, Yao Xu, Zheqing Zhang, Xin Li, Jitao Sang, Xiaogang Duan, Xuelei Wang, Chengbao Liu, Jie Tan |
| 2026 | ACL | CSPO: Alleviating Reward Ambiguity for Structured Table-to-LaTeX Generation. | Yunfan Yang, Cuiling Lan, Jitao Sang, Yan Lu |
| 2026 | ACL | Memory as Action: Autonomous Context Curation for Long-Horizon Agentic Tasks. | Yuxiang Zhang, Jiangming Shu, Ye Ma, Xueyuan Lin, Shangxi Wu, Jitao Sang |
| 2026 | ACL | Beyond Modality Collapse: Taming Guided Modality Entropy for Omni-modal Emotion Reasoning. | Xian Zhao, Rui Hu, Yuxiang Zhang, Delai Qiu, Yining Wang, Shengping Liu, Jian Yu, Jitao Sang |
| 2026 | KDD | ITDR: An Instruction Tuning Dataset for Enhancing Large Language Models in Recommendations. | Zekun Liu, Xiaowen Huang, Jitao Sang |
| 2025 | AAAI | Encoder of Thoughts: Enhancing Planning Ability in Language Agents Through Structural Embedding. | Yuxiang Zhang, Jitao Sang |
| 2025 | ACL | 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 |
| 2025 | COLING | KG-FPQ: Evaluating Factuality Hallucination in LLMs with Knowledge Graph-based False Premise Questions. | Yanxu Zhu, Jinlin Xiao, Yuhang Wang, Jitao Sang |
| 2025 | CVPR | ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models. | Yahan Tu, Rui Hu, Jitao Sang |
| 2025 | CVPR | Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models. | Jiaming Zhang, Junhong Ye, Xingjun Ma, Yige Li, Yunfan Yang, Yunhao Chen, Jitao Sang, Dit-Yan Yeung |
| 2025 | IJCNN | Debiased Prompt Tuning for Vision-Language Models without Annotations. | Chaoquan Jiang, Yunfan Yang, Rui Hu, Jitao Sang |
| 2025 | WWW | A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender Systems. | Lixi Zhu, Xiaowen Huang, Jitao Sang |
| 2024 | ECCV | Adversarial Prompt Tuning for Vision-Language Models. | Jiaming Zhang, Xingjun Ma, Xin Wang, Lingyu Qiu, Jiaqi Wang, Yu-Gang Jiang, Jitao Sang |
| 2024 | WWW | How Reliable is Your Simulator? Analysis on the Limitations of Current LLM-based User Simulators for Conversational Recommendation. | Lixi Zhu, Xiaowen Huang, Jitao Sang |
| 2023 | AAAI | ImageNet Pre-training Also Transfers Non-robustness. | Jiaming Zhang, Jitao Sang, Qi Yi, Yunfan Yang, Huiwen Dong, Jian Yu |
| 2023 | ACL | Towards Alleviating the Object Bias in Prompt Tuning-based Factual Knowledge Extraction. | Yuhang Wang, Dongyuan Lu, Chao Kong, Jitao Sang |
| 2023 | CVPR | Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples. | Jiaming Zhang, Xingjun Ma, Qi Yi, Jitao Sang, Yu-Gang Jiang, Yaowei Wang, Changsheng Xu |
| 2023 | ICCV | Improved Visual Fine-tuning with Natural Language Supervision. | Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian |
| 2023 | IJCAI | From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping. | Junyang Wang, Ming Yan, Yi Zhang, Jitao Sang |
| 2023 | IJCNN | Improving The Local Stability of Deep Model With Margin Losses. | Haonan Wang, Pengbo Yang, Jitao Sang |
| 2022 | CVPR | Non-generative Generalized Zero-shot Learning via Task-correlated Disentanglement and Controllable Samples Synthesis. | Yaogong Feng, Xiaowen Huang, Pengbo Yang, Jian Yu, Jitao Sang |
| 2022 | IJCAI | Investigating and Explaining the Frequency Bias in Image Classification. | Zhiyu Lin, Yifei Gao, Jitao Sang |
| 2020 | MMM | Beyond Literal Visual Modeling: Understanding Image Metaphor Based on Literal-Implied Concept Mapping. | Chengpeng Fu, Jinqiang Wang, Jitao Sang, Jian Yu, Changsheng Xu |
| 2017 | MMM | Demographic Attribute Inference from Social Multimedia Behaviors: A Cross-OSN Approach. | Liancheng Xiang, Jitao Sang, Changsheng Xu |
| 2017 | MMM | A Demo for Image-Based Personality Test. | Huaiwen Zhang, Jiaming Zhang, Jitao Sang, Changsheng Xu |
| 2016 | ISM | Social Multimedia Ming: From Special to General. | Jitao Sang, Changsheng Xu, Ramesh C. Jain |
| 2015 | CIKM | A Probabilistic Framework for Temporal User Modeling on Microblogs. | Jitao Sang, Dongyuan Lu, Changsheng Xu |
| 2013 | ICIAP | User-Oriented Social Analysis across Social Media Sites. | Ming Yan, Zhengyu Deng, Jitao Sang, Changsheng Xu |
| 2013 | MMM | Paint the City Colorfully: Location Visualization from Multiple Themes. | Quan Fang, Jitao Sang, Changsheng Xu, Ke Lu |
| 2009 | CVPR | Adaptive object classification in surveillance system by exploiting scene context. | Jitao Sang, Zhen Lei, Shengcai Liao, Stan Z. Li |