Kaihang Pan

According to our database, Kaihang Pan authored at least 10 papers between 2023 and 2024.

Collaborative distances:

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

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

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

CoRR, 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

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