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Xiaoye Qu
39 papers at tracked venues · 32 at CORE A* · active 2024–2026
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ORCID 0000-0002-4907-3978 ↗
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Venues
ACL
×8
NeurIPS
×8
AAAI
×4
ACM MM
×4
EMNLP
×3
ICML
×3
CVPR
×2
ECCV
×2
ICCV
×2
IJCAI
×1
NAACL
×1
SIGIR
×1
Frequent coauthors
Xiang Fang
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×3
Jianfeng Dong
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×3
Chenghao Fan
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×3
Jihai Zhang
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×2
Tong Zhu
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×2
Mingyang Song
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×2
Xiaowen Cai
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×2
Zhaochen Su
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×2
Zhenyi Lu
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×2
Daizong Liu
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×2
Yifan Jia
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×1
Tingchen Fu
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×1
Papers
Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models
AAAI 2026
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Yifan Jia
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Rethinking Video-Language Model from the Language Input Perspective
AAAI 2026
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Xiang Fang
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Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models
ACL 2026
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Tingchen Fu
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Audio Does Matter: Importance-Aware Multi-Granularity Fusion for Video Moment Retrieval
ACM MM 2025
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Junan Lin
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CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling
EMNLP 2025
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Jihai Zhang
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Cooperative or Competitive? Understanding the Interaction between Attention Heads From A Game Theory Perspective
ACL 2025
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Xiaoye Qu
Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning
ICML 2025
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Zican Hu
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Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts
NAACL 2025
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Tong Zhu
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Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think
CVPR 2025
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Jie Tian
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Fit the Distribution: Cross-Image/Prompt Adversarial Attacks on Multimodal Large Language Models
NeurIPS 2025
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Hai Yan
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From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration
CVPR 2025
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Mingyang Song
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LLM-Assisted Entropy-Based Adaptive Distillation for Unsupervised Fine-Grained Visual Representation Learning
ICCV 2025
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Jianfeng Dong
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Learning to Reason under Off-Policy Guidance
NeurIPS 2025
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Jianhao Yan
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Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
ICML 2025
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Chenghao Fan
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Multi-level Association Refinement Network for Dialogue Aspect-based Sentiment Quadruple Analysis
ACL 2025
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Zeliang Tong
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Open-World Fine-Grained Fashion Retrieval with LLM-based Commonsense Knowledge Infusion
SIGIR 2025
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Jianfeng Dong
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PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models
ACL 2025
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Mingyang Song
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SEE: Continual Fine-tuning with Sequential Ensemble of Experts
ACL 2025
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Zhilin Wang
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Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback
ICML 2025
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Yafu Li
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Towards Building Model/Prompt-Transferable Attackers against Large Vision-Language Models
NeurIPS 2025
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Xiaowen Cai
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Towards Stabilized and Efficient Diffusion Transformers Through Long-Skip-Connections With Spectral Constraints
ICCV 2025
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Guanjie Chen
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Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting
ACL 2024
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Rikui Huang
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ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs
NeurIPS 2024
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Zhaochen Su
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Enhancing Low-Resource Relation Representations through Multi-View Decoupling
AAAI 2024
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Chenghao Fan
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Frequency-Aware GAN for Imperceptible Transfer Attack on 3D Point Clouds
ACM MM 2024
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Xiaowen Cai
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GIST: Improving Parameter Efficient Fine-Tuning via Knowledge Interaction
ACM MM 2024
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Jiacheng Ruan
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Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition
IJCAI 2024
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Zhuojun Ding
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LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training
EMNLP 2024
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Tong Zhu
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Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
ECCV 2024
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Jihai Zhang
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Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?
ACL 2024
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Zhaochen Su
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Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models
ACL 2024
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Zhenyi Lu
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Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval using Language
ACM MM 2024
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Xiang Fang
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On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion
NeurIPS 2024
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Chenghao Fan
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Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models
NeurIPS 2024
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Daizong Liu
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Rethinking Weakly-Supervised Video Temporal Grounding From a Game Perspective
ECCV 2024
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Xiang Fang
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SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information
EMNLP 2024
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Jiashuo Sun
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Temporal Sentence Grounding with Relevance Feedback in Videos
NeurIPS 2024
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Jianfeng Dong
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Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
NeurIPS 2024
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Zhenyi Lu
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Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization
AAAI 2024
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Daizong Liu
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