Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization. - Kaihang Pan; Juncheng Li 006; Hongye Song; Jun Lin; Xiaozhong Liu; Siliang Tang (EMNLP (Findings), 2023)

Meta-augmented Prompt Tuning for Better Few-shot Learning. - Kaihang Pan; Juncheng Li 006; Hongye Song; Jun Lin; Xiaozhong Liu; Siliang Tang (CoRR, 2023)

Empowering Vision-Language Models to Follow Interleaved Vision-Language Instructions. - Juncheng Li 006; Kaihang Pan; Zhiqi Ge; Minghe Gao; Hanwang Zhang; Wei Ji 008; Wenqiao Zhang; Tat-Seng Chua; Siliang Tang; Yueting Zhuang (CoRR, 2023)

ControlRetriever: Harnessing the Power of Instructions for Controllable Retrieval. - Kaihang Pan; Juncheng Li 006; Hongye Song; Hao Fei 001; Wei Ji 008; Shuo Zhang 014; Jun Lin; Xiaozhong Liu; Siliang Tang (CoRR, 2023)

Improving Vision Anomaly Detection with the Guidance of Language Modality. - Dong Chen 017; Kaihang Pan; Guoming Wang; Yueting Zhuang; Siliang Tang (CoRR, 2023)

Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions. - Juncheng Li 006; Kaihang Pan; Zhiqi Ge; Minghe Gao; Wei Ji 008; Wenqiao Zhang; Tat-Seng Chua; Siliang Tang; Hanwang Zhang; Yueting Zhuang (ICLR, 2024)

Auto-Encoding Morph-Tokens for Multimodal LLM. - Kaihang Pan; Siliang Tang; Juncheng Li 006; Zhaoyu Fan; Wei Chow; Shuicheng Yan; Tat-Seng Chua; Yueting Zhuang; Hanwang Zhang (ICML, 2024)

Unified Generative and Discriminative Training for Multi-modal Large Language Models. - Wei Chow; Juncheng Li 006; Qifan Yu; Kaihang Pan; Hao Fei 001; Zhiqi Ge; Shuai Yang; Siliang Tang; Hanwang Zhang; Qianru Sun (NeurIPS, 2024)

Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration. - Kaihang Pan; Zhaoyu Fan; Juncheng Li 006; Qifan Yu; Hao Fei 001; Siliang Tang; Richang Hong; Hanwang Zhang; Qianru Sun (NeurIPS, 2024)

I3: Intent-Introspective Retrieval Conditioned on Instructions. - Kaihang Pan; Juncheng Li 006; Wenjie Wang 007; Hao Fei 001; Hongye Song; Wei Ji 008; Jun Lin; Xiaozhong Liu; Tat-Seng Chua; Siliang Tang (SIGIR, 2024)

Iris: Breaking GUI Complexity with Adaptive Focus and Self-Refining. - Zhiqi Ge; Juncheng Li 006; Xinglei Pang; Minghe Gao; Kaihang Pan; Wang Lin; Hao Fei 001; Wenqiao Zhang; Siliang Tang; Yueting Zhuang (CoRR, 2024)

RustGraph: Robust Anomaly Detection in Dynamic Graphs by Jointly Learning Structural-Temporal Dependency. - Jianhao Guo; Siliang Tang; Juncheng Li 006; Kaihang Pan; Lingfei Wu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens. - Kaihang Pan; Wang Lin; Zhongqi Yue; Tenglong Ao; Liyu Jia; Wei Zhao; Juncheng Li 006; Siliang Tang; Hanwang Zhang (CVPR, 2025)

STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training. - Haiyi Qiu; Minghe Gao; Long Qian; Kaihang Pan; Qifan Yu; Juncheng Li 006; Wenjie Wang 007; Siliang Tang; Yueting Zhuang; Tat-Seng Chua (CVPR, 2025)

AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea. - Qifan Yu; Wei Chow; Zhongqi Yue; Kaihang Pan; Yang Wu; Xiaoyang Wan; Juncheng Li 006; Siliang Tang; Hanwang Zhang; Yueting Zhuang (CVPR, 2025)

Improving Vision Anomaly Detection With the Guidance of Language Modality. - Dong Chen 017; Kaihang Pan; Guangyu Dai; Guoming Wang; Yueting Zhuang; Siliang Tang; Mingliang Xu 001 (IEEE Trans. Multim., 2025)

Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Learning. - Wang Lin; Liyu Jia; Wentao Hu; Kaihang Pan; Zhongqi Yue; Wei Zhao; Jingyuan Chen; Fei Wu 001; Hanwang Zhang (CoRR, 2025)

On Path to Multimodal Generalist: General-Level and General-Bench. - Hao Fei 001; Yuan Zhou 016; Juncheng Li 006; Xiangtai Li; Qingshan Xu 001; Bobo Li; Shengqiong Wu; Yaoting Wang; Junbao Zhou; Jiahao Meng; Qingyu Shi; Zhiyuan Zhou; et al. (CoRR, 2025)

Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning. - Bohan Wang; Zhongqi Yue; Fengda Zhang; Shuo Chen; Li'an Bi; Junzhe Zhang; Xue Song; Kennard Yanting Chan; Jiachun Pan; Weijia Wu; Mingze Zhou; Wang Lin; et al. (CoRR, 2025)

Unlocking Aha Moments via Reinforcement Learning: Advancing Collaborative Visual Comprehension and Generation. - Kaihang Pan; Yang Wu; Wendong Bu; Kai Shen; Juncheng Li 006; Yingting Wang; Yunfei Li; Siliang Tang; Jun Xiao 001; Fei Wu 001; Hang Zhao; Yueting Zhuang (CoRR, 2025)

FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL. - Kaihang Pan; Wendong Bu; Yuruo Wu; Yang Wu; Kai Shen; Yunfei Li; Hang Zhao; Juncheng Li 006; Siliang Tang; Yueting Zhuang (CoRR, 2025)

What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities. - Wendong Bu; Yang Wu; Qifan Yu; Minghe Gao; Bingchen Miao; Zhenkui Zhang; Kaihang Pan; Yunfei Li; Mengze Li 001; Wei Ji 008; Juncheng Li 006; Siliang Tang; et al. (CoRR, 2025)