Wanlong Fang

According to our database, Wanlong Fang authored at least 17 papers between 2023 and 2026.

Collaborative distances:

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

2026

SLAP: The Semantic Least Action Principle for Variational Video-Language Modeling.

Xiang Fang, Wanlong Fang

CoRR, May, 2026

Immuno-VLM: Immunizing Large Vision-Language Models via Generative Semantic Antibodies for Open-World Trustworthiness.

Xiang Fang, Wanlong Fang, Wei Ji

CoRR, May, 2026

CogniVerse: Revolutionizing Multi-Modal Retrieval-Augmented Generation with Cognitive Reflection and Geometric Reasoning.

Xiang Fang, Wanlong Fang, Changshuo Wang

CoRR, May, 2026

How Creative Are Large Language Models in Generating Molecules?

Wen Tao, Yiwei Wang, Peng Zhou, Bryan Hooi, Wanlong Fang, Tianle Zhang, Xiao Luo, Yuansheng Liu, Alvin Chan

CoRR, April, 2026

To Align or Not to Align: Strategic Multimodal Representation Alignment for Optimal Performance.

Wanlong Fang, Tianle Zhang, Alvin Chan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Towards Unified Vision-Language Models with Incomplete Multi-Modal Inputs.

Xiang Fang, Wanlong Fang, Changshuo Wang, Keke Tang, Daizong Liu, Siyi Wang, Wei Ji

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Rethinking Video-Language Model from the Language Input Perspective.

Xiang Fang, Wanlong Fang, Changshuo Wang, Xiaoye Qu, Daizong Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Unveiling the Fragility of Vision-Language Models: Multi-Modal Adversarial Synergy via Texture-Constrained Perturbations and Cross-Modal Optimization.

Xiang Fang, Wanlong Fang, Changshuo Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Disentangling Adversarial Prompts: A Semantic-Graph Defense for Robust LLM Security.

Xiang Fang, Wanlong Fang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Can LLMs Reason Over Non-Text Modalities in a Training-Free Manner? A Case Study with In-Context Representation Learning.

Tianle Zhang, Wanlong Fang, Jonathan Woo, Paridhi Latawa, Deepak A. Subramanian, Alvin Chan

CoRR, September, 2025

Turing Patterns for Multimedia: Reaction-Diffusion Multi-Modal Fusion for Language-Guided Video Moment Retrieval.

Xiang Fang, Wanlong Fang, Wei Ji, Tat-Seng Chua

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network.

Xiang Fang, Wanlong Fang, Changshuo Wang, Daizong Liu, Keke Tang, Jianfeng Dong, Pan Zhou, Beibei Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval using Language.

Xiang Fang, Wanlong Fang, Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Renfu Li, Zichuan Xu, Lixing Chen, Panpan Zheng, Yu Cheng

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Rethinking Weakly-Supervised Video Temporal Grounding From a Game Perspective.

Xiang Fang, Zeyu Xiong, Wanlong Fang, Xiaoye Qu, Chen Chen, Jianfeng Dong, Keke Tang, Pan Zhou, Yu Cheng, Daizong Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

Towards Robust Temporal Activity Localization Learning with Noisy Labels.

Daizong Liu, Xiaoye Qu, Xiang Fang, Jianfeng Dong, Pan Zhou, Guoshun Nan, Keke Tang, Wanlong Fang, Yu Cheng

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language.

Xiang Fang, Daizong Liu, Wanlong Fang, Pan Zhou, Zichuan Xu, Wenzheng Xu, Junyang Chen, Renfu Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding.

Xiang Fang, Daizong Liu, Wanlong Fang, Pan Zhou, Yu Cheng, Keke Tang, Kai Zou

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