Kaihang Pan

According to our database, Kaihang Pan authored at least 31 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SpatialFusion: Endowing Unified Image Generation with Intrinsic 3D Geometric Awareness.

Haiyi Qiu, Kaihang Pan, Jiacheng Li, Juncheng Li, Siliang Tang, Yueting Zhuang

CoRR, April, 2026

OmniWeaving: Towards Unified Video Generation with Free-form Composition and Reasoning.

Kaihang Pan, Qi Tian, Jianwei Zhang, Weijie Kong, Jiangfeng Xiong, Yanxin Long, Shixue Zhang, Haiyi Qiu, Tan Wang, Zheqi Lv, Yue Wu, Liefeng Bo, Siliang Tang, Zhao Zhong

CoRR, March, 2026

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs.

Zhaoyu Fan, Kaihang Pan, Mingze Zhou, Bosheng Qin, Juncheng Li, Shengyu Zhang, Wenqiao Zhang, Siliang Tang, Fei Wu, Yueting Zhuang

Proceedings of the ACM Web Conference 2026, 2026

Evolving Generalist Virtual Agents with Generative and Associative Memory.

Zhenkui Zhang, Wendong Bu, Kaihang Pan, Bingchen Miao, Wenqiao Zhang, Guoming Wang, Wei Ji, Rui Tang, Juncheng Li, Siliang Tang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

OmniMoGen: Unifying Human Motion Generation via Learning from Interleaved Text-Motion Instructions.

Wendong Bu, Kaihang Pan, Yuze Lin, Jiacheng Li, Kai Shen, Wenqiao Zhang, Juncheng Li, Jun Xiao, Siliang Tang

CoRR, December, 2025

WiseEdit: Benchmarking Cognition- and Creativity-Informed Image Editing.

Kaihang Pan, Weile Chen, Haiyi Qiu, Qifan Yu, Wendong Bu, Zehan Wang, Yun Zhu, Juncheng Li, Siliang Tang

CoRR, December, 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, Wei Ji, Juncheng Li, Siliang Tang, Yueting Zhuang

CoRR, June, 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, Siliang Tang, Yueting Zhuang

CoRR, June, 2025

Unlocking Aha Moments via Reinforcement Learning: Advancing Collaborative Visual Comprehension and Generation.

Kaihang Pan, Yang Wu, Wendong Bu, Kai Shen, Juncheng Li, Yingting Wang, Yunfei Li, Siliang Tang, Jun Xiao, Fei Wu, Hang Zhao, Yueting Zhuang

CoRR, June, 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, Kaihang Pan, Saining Zhang, Liyu Jia, Wentao Hu, Wei Zhao, Hanwang Zhang

CoRR, May, 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, Hanwang Zhang

CoRR, April, 2025

Improving Vision Anomaly Detection With the Guidance of Language Modality.

Dong Chen, Kaihang Pan, Guangyu Dai, Guoming Wang, Yueting Zhuang, Siliang Tang, Mingliang Xu

IEEE Trans. Multim., 2025

Selftok-Zero: Reinforcement Learning for Visual Generation via Discrete and Autoregressive Visual Tokens.

Bohan Wang, Mingze Zhou, Zhongqi Yue, Wang Lin, Kaihang Pan, Liyu Jia, Wentao Hu, Wei Zhao, Hanwang Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Vinci: Deep Thinking in Text-to-Image Generation using Unified Model with Reinforcement Learning.

Wang Lin, Wentao Hu, Liyu Jia, Kaihang Pan, Majun Zhang, Zhou Zhao, Fei Wu, Jingyuan Chen, Hanwang Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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, Liyunfei, Mengze Li, Wei Ji, Juncheng Li, Siliang Tang, Yueting Zhuang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

On Path to Multimodal Generalist: General-Level and General-Bench.

Hao Fei, Yuan Zhou, Juncheng Li, Xiangtai Li, Qingshan Xu, Bobo Li, Shengqiong Wu, Yaoting Wang, Junbao Zhou, Jiahao Meng, Qingyu Shi, Zhiyuan Zhou, Liangtao Shi, Minghe Gao, Daoan Zhang, Zhiqi Ge, Siliang Tang, Kaihang Pan, Yaobo Ye, Haobo Yuan, Tao Zhang, Weiming Wu, Tianjie Ju, Zixiang Meng, Shilin Xu, Liyu Jia, Wentao Hu, Meng Luo, Jiebo Luo, Tat-Seng Chua, Shuicheng Yan, Hanwang Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Iris: Breaking GUI Complexity with Adaptive Focus and Self-Refining.

Zhiqi Ge, Juncheng Li, Xinglei Pang, Minghe Gao, Kaihang Pan, Wang Lin, Hao Fei, Wenqiao Zhang, Siliang Tang, Yueting Zhuang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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, Siliang Tang, Hanwang Zhang, Yueting Zhuang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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, Wenjie Wang, Siliang Tang, Yueting Zhuang, Tat-Seng Chua

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens.

Kaihang Pan, Wang Lin, Zhongqi Yue, Tenglong Ao, Liyu Jia, Wei Zhao, Juncheng Li, Siliang Tang, Hanwang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

RustGraph: Robust Anomaly Detection in Dynamic Graphs by Jointly Learning Structural-Temporal Dependency.

Jianhao Guo, Siliang Tang, Juncheng Li, Kaihang Pan, Lingfei Wu

IEEE Trans. Knowl. Data Eng., July, 2024

I3: Intent-Introspective Retrieval Conditioned on Instructions.

Kaihang Pan, Juncheng Li, Wenjie Wang, Hao Fei, Hongye Song, Wei Ji, Jun Lin, Xiaozhong Liu, Tat-Seng Chua, Siliang Tang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration.

Kaihang Pan, Zhaoyu Fan, Juncheng Li, Qifan Yu, Hao Fei, Siliang Tang, Richang Hong, Hanwang Zhang, Qianru Sun

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Unified Generative and Discriminative Training for Multi-modal Large Language Models.

Wei Chow, Juncheng Li, Qifan Yu, Kaihang Pan, Hao Fei, Zhiqi Ge, Shuai Yang, Siliang Tang, Hanwang Zhang, Qianru Sun

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Auto-Encoding Morph-Tokens for Multimodal LLM.

Kaihang Pan, Siliang Tang, Juncheng Li, Zhaoyu Fan, Wei Chow, Shuicheng Yan, Tat-Seng Chua, Yueting Zhuang, Hanwang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions.

Juncheng Li, Kaihang Pan, Zhiqi Ge, Minghe Gao, Wei Ji, Wenqiao Zhang, Tat-Seng Chua, Siliang Tang, Hanwang Zhang, Yueting Zhuang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Improving Vision Anomaly Detection with the Guidance of Language Modality.

Dong Chen, Kaihang Pan, Guoming Wang, Yueting Zhuang, Siliang Tang

CoRR, 2023

ControlRetriever: Harnessing the Power of Instructions for Controllable Retrieval.

Kaihang Pan, Juncheng Li, Hongye Song, Hao Fei, Wei Ji, Shuo Zhang, Jun Lin, Xiaozhong Liu, Siliang Tang

CoRR, 2023

Empowering Vision-Language Models to Follow Interleaved Vision-Language Instructions.

Juncheng Li, Kaihang Pan, Zhiqi Ge, Minghe Gao, Hanwang Zhang, Wei Ji, Wenqiao Zhang, Tat-Seng Chua, Siliang Tang, Yueting Zhuang

CoRR, 2023

Meta-augmented Prompt Tuning for Better Few-shot Learning.

Kaihang Pan, Juncheng Li, Hongye Song, Jun Lin, Xiaozhong Liu, Siliang Tang

CoRR, 2023

Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization.

Kaihang Pan, Juncheng Li, Hongye Song, Jun Lin, Xiaozhong Liu, Siliang Tang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023