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ORCIDWanlong Fang
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2020 – today
- 2026
[c12]Xiang Fang, Wanlong Fang, Changshuo Wang
, Keke Tang, Daizong Liu, Siyi Wang, Wei Ji:
Towards Unified Vision-Language Models with Incomplete Multi-Modal Inputs. AAAI 2026: 3858-3866- [c11]Xiang Fang, Wanlong Fang, Changshuo Wang:
Unveiling the Fragility of Vision-Language Models: Multi-Modal Adversarial Synergy via Texture-Constrained Perturbations and Cross-Modal Optimization. AAAI 2026: 3867-3875 - [c10]Xiang Fang, Wanlong Fang:
Disentangling Adversarial Prompts: A Semantic-Graph Defense for Robust LLM Security. AAAI 2026: 3876-3884 - [c9]Xiang Fang, Wanlong Fang, Changshuo Wang, Xiaoye Qu, Daizong Liu:
Rethinking Video-Language Model from the Language Input Perspective. AAAI 2026: 3885-3893 - [c8]Wanlong Fang, Tianle Zhang, Alvin Chan:
To Align or Not to Align: Strategic Multimodal Representation Alignment for Optimal Performance. AAAI 2026: 21056-21064 - [i18]Wen Tao, Yiwei Wang, Peng Zhou, Bryan Hooi, Wanlong Fang, Tianle Zhang, Xiao Luo, Yuansheng Liu, Alvin Chan:
How Creative Are Large Language Models in Generating Molecules? CoRR abs/2604.18031 (2026) - [i17]Xiang Fang, Zeyu Xiong, Wanlong Fang, Xiaoye Qu, Chen Chen, Jianfeng Dong, Keke Tang, Pan Zhou, Yu Cheng, Daizong Liu:
Rethinking Weakly-supervised Video Temporal Grounding From a Game Perspective. CoRR abs/2605.26441 (2026) - [i16]Xiang Fang, Wanlong Fang, Changshuo Wang:
Unveiling the Fragility of Vision-Language Models: Multi-Modal Adversarial Synergy via Texture-Constrained Perturbations and Cross-Modal Optimization. CoRR abs/2605.26501 (2026) - [i15]Xiang Fang, Wanlong Fang:
Disentangling Adversarial Prompts: A Semantic-Graph Defense for Robust LLM Security. CoRR abs/2605.27823 (2026) - [i14]Xiang Fang, Wanlong Fang, Changshuo Wang, Keke Tang, Daizong Liu, Siyi Wang, Wei Ji:
Towards Unified Vision-Language Models with Incomplete Multi-Modal Inputs. CoRR abs/2605.27894 (2026) - [i13]Xiang Fang, Wanlong Fang, Changshuo Wang, Xiaoye Qu, Daizong Liu:
Rethinking Video-Language Model from the Language Input Perspective. CoRR abs/2605.27920 (2026) - [i12]Xiang Fang, Wanlong Fang, Changshuo Wang:
CogniVerse: Revolutionizing Multi-Modal Retrieval-Augmented Generation with Cognitive Reflection and Geometric Reasoning. CoRR abs/2605.29602 (2026) - [i11]Xiang Fang, Daizong Liu, Wanlong Fang, Pan Zhou, Zichuan Xu, Wenzheng Xu, Junyang Chen, Renfu Li:
Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language. CoRR abs/2605.29793 (2026) - [i10]Xiang Fang, Wanlong Fang, Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Renfu Li, Zichuan Xu, Lixing Chen, Panpan Zheng, Yu Cheng:
Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval Using Language. CoRR abs/2605.29812 (2026) - [i9]Xiang Fang, Daizong Liu, Wanlong Fang, Pan Zhou, Yu Cheng, Keke Tang, Kai Zou:
Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding. CoRR abs/2605.30742 (2026) - [i8]Xiang Fang, Wanlong Fang, Wei Ji:
Immuno-VLM: Immunizing Large Vision-Language Models via Generative Semantic Antibodies for Open-World Trustworthiness. CoRR abs/2605.30745 (2026) - [i7]Xiang Fang, Wanlong Fang:
SLAP: The Semantic Least Action Principle for Variational Video-Language Modeling. CoRR abs/2605.30750 (2026) - [i6]Wanlong Fang, Tianle Zhang, Wen Tao, Alvin Chan:
Towards Understanding Modality Interaction in Multimodal Language Models via Partial Information Decomposition. CoRR abs/2606.00959 (2026) - [i5]Xiang Fang, Wanlong Fang, Changshuo Wang:
Hierarchical Semantic-Augmented Navigation: Optimal Transport and Graph-Driven Reasoning for Vision-Language Navigation. CoRR abs/2606.01565 (2026) - [i4]Xiang Fang, Wanlong Fang, Wei Ji, Tat-Seng Chua:
Turing Patterns for Multimedia: Reaction-Diffusion Multi-Modal Fusion for Language-Guided Video Moment Retrieval. CoRR abs/2606.01615 (2026) - 2025
- [c7]Xiang Fang, Wanlong Fang, Changshuo Wang, Daizong Liu, Keke Tang, Jianfeng Dong, Pan Zhou, Beibei Li:
Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network. AAAI 2025: 2915-2923 - [c6]Xiang Fang, Wanlong Fang, Wei Ji, Tat-Seng Chua:
Turing Patterns for Multimedia: Reaction-Diffusion Multi-Modal Fusion for Language-Guided Video Moment Retrieval. ACM Multimedia 2025: 12509-12518 - [i3]Tianle Zhang, Wanlong Fang, Jonathan Woo, Paridhi Latawa, Deepak A. Subramanian, Alvin Chan:
Can LLMs Reason Over Non-Text Modalities in a Training-Free Manner? A Case Study with In-Context Representation Learning. CoRR abs/2509.17552 (2025) - [i2]Wanlong Fang, Tianle Zhang, Alvin Chan:
To Align or Not to Align: Strategic Multimodal Representation Alignment for Optimal Performance. CoRR abs/2511.12121 (2025) - 2024
- [c5]Xiang Fang, Daizong Liu, Wanlong Fang, Pan Zhou, Zichuan Xu, Wenzheng Xu, Junyang Chen, Renfu Li:
Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language. AAAI 2024: 1735-1743 - [c4]Daizong Liu, Xiaoye Qu, Xiang Fang, Jianfeng Dong, Pan Zhou, Guoshun Nan, Keke Tang, Wanlong Fang, Yu Cheng:
Towards Robust Temporal Activity Localization Learning with Noisy Labels. LREC/COLING 2024: 16630-16642 - [c3]Xiang Fang, Zeyu Xiong, Wanlong Fang, Xiaoye Qu, Chen Chen, Jianfeng Dong, Keke Tang, Pan Zhou, Yu Cheng, Daizong Liu:
Rethinking Weakly-Supervised Video Temporal Grounding From a Game Perspective. ECCV (45) 2024: 290-311 - [c2]Xiang Fang, Wanlong Fang, Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Renfu Li, Zichuan Xu, Lixing Chen, Panpan Zheng, Yu Cheng:
Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval using Language. ACM Multimedia 2024: 28-37 - [i1]Xiang Fang, Wanlong Fang, Changshuo Wang, Daizong Liu, Keke Tang, Jianfeng Dong, Pan Zhou, Beibei Li:
Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network. CoRR abs/2412.15678 (2024) - 2023
- [c1]Xiang Fang, Daizong Liu, Wanlong Fang, Pan Zhou, Yu Cheng, Keke Tang, Kai Zou:
Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding. EMNLP (Findings) 2023: 8721-8733
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