Xiaoye Qu

167 papers A* 40A 2B 5Misc 2Journal 100Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Are Large Vision-Language Models Robust to Adversarial Visual Transformations?
IEEE Trans. Inf. Forensics Secur.
Daizong Liu, Xiaowen Cai, Pan Zhou, Xiaoye Qu, Lichao Sun, Wei Hu
2026 A* conf
Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models.
AAAI
Yifan Jia, Yuntao Du, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin, Rui Yang, Fenze Feng, Mingcai Chen, Hengyang Lu, Haozhe Wang, Xiaoye Qu, Qian Li, Dongrui Liu
2026 J jnl
Characterizing, Evaluating, and Optimizing Complex Reasoning.
CoRR
Haoran Zhang, Yafu Li, Zhi Wang, Zhilin Wang, Shunkai Zhang, Xiaoye Qu, Yu Cheng
2026 J jnl
ExFusion: Efficient Transformer Training via Multi-Experts Fusion.
CoRR
Jiacheng Ruan, Daize Dong, Xiaoye Qu, Tong Zhu, Ting Liu, Yuzhuo Fu, Yu Cheng, Suncheng Xiang
2026 J jnl
FaithRL: Learning to Reason Faithfully through Step-Level Faithfulness Maximization.
CoRR
Runquan Gui, Yafu Li, Xiaoye Qu, Ziyan Liu, Yeqiu Cheng, Yu Cheng
2026 J jnl
GEMS: Agent-Native Multimodal Generation with Memory and Skills.
CoRR
Zefeng He, Siyuan Huang, Xiaoye Qu, Yafu Li, Tong Zhu, Yu Cheng, Yang Yang
2026 J jnl
Generating transferable attacks across large vision-language models using adversarial deformation learning.
Pattern Recognit.
Daizong Liu, Wangqin Liu, Xiaowen Cai, Pan Zhou, Runwei Guan, Xiaoye Qu, Bo Du
2026 J jnl
LatentMem: Customizing Latent Memory for Multi-Agent Systems.
CoRR
Muxin Fu, Guibin Zhang, Xiangyuan Xue, Yafu Li, Zefeng He, Siyuan Huang, Xiaoye Qu, Yu Cheng, Yang Yang
2026 J jnl
New Skills or Sharper Primitives? A Probabilistic Perspective on the Emergence of Reasoning in RLVR.
CoRR
Zhilin Wang, Yafu Li, Shunkai Zhang, Zhi Wang, Haoran Zhang, Xiaoye Qu, Yu Cheng
2026 A* conf
Rethinking Video-Language Model from the Language Input Perspective.
AAAI
Xiang Fang, Wanlong Fang, Changshuo Wang, Xiaoye Qu, Daizong Liu
2026 J jnl
Stable-DiffCoder: Pushing the Frontier of Code Diffusion Large Language Model.
CoRR
Chenghao Fan, Wen Heng, Bo Li, Sichen Liu, Yuxuan Song, Jing Su, Xiaoye Qu, Kai Shen, Wei Wei
2026 J jnl
Think Longer to Explore Deeper: Learn to Explore In-Context via Length-Incentivized Reinforcement Learning.
CoRR
Futing Wang, Jianhao Yan, Yun Luo, Ganqu Cui, Zhi Wang, Xiaoye Qu, Yue Zhang, Yu Cheng, Tao Lin
2026 J jnl
Toward Efficient Agents: Memory, Tool learning, and Planning.
CoRR
Xiaofang Yang, Lijun Li, Heng Zhou, Tong Zhu, Xiaoye Qu, Yuchen Fan, Qianshan Wei, Rui Ye, Li Kang, Yiran Qin, Zhiqiang Kou, Daizong Liu, Qi Li, Ning Ding, Siheng Chen, Jing Shao
2026 J jnl
XSkill: Continual Learning from Experience and Skills in Multimodal Agents.
CoRR
Guanyu Jiang, Zhaochen Su, Xiaoye Qu, Yi R. Fung
2025 J jnl
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends.
IEEE Trans. Neural Networks Learn. Syst.
Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Yu Cheng, Wei Hu
2025 J jnl
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond.
CoRR
Xiaoye Qu, Yafu Li, Zhaochen Su, Weigao Sun, Jianhao Yan, Dongrui Liu, Ganqu Cui, Daizong Liu, Shuxian Liang, Junxian He, Peng Li, Wei Wei, Jing Shao, Chaochao Lu, Yue Zhang, Xian-Sheng Hua, Bowen Zhou, Yu Cheng
2025 J jnl
A Survey of Reinforcement Learning for Large Reasoning Models.
CoRR
Kaiyan Zhang, Yuxin Zuo, Bingxiang He, Youbang Sun, Runze Liu, Che Jiang, Yuchen Fan, Kai Tian, Guoli Jia, Pengfei Li, Yu Fu, Xingtai Lv, Yuchen Zhang, Sihang Zeng, Shang Qu, Haozhan Li, Shijie Wang, Yuru wang, Xinwei Long, Fangfu Liu, Xiang Xu, Jiaze Ma, Xuekai Zhu, Ermo Hua, Yihao Liu, Zonglin Li, Huayu Chen, Xiaoye Qu, Yafu Li, Weize Chen, Zhenzhao Yuan, Junqi Gao, Dong Li, Zhiyuan Ma, Ganqu Cui, Zhiyuan Liu, Biqing Qi, Ning Ding, Bowen Zhou
2025 J jnl
Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning.
CoRR
Shuang Chen, Yue Guo, Zhaochen Su, Yafu Li, Yulun Wu, Jiacheng Chen, Jiayu Chen, Weijie Wang, Xiaoye Qu, Yu Cheng
2025 J jnl
Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation.
ACM Trans. Multim. Comput. Commun. Appl.
Xiaoye Qu, Qiyuan Chen, Wei Wei, Jiashuo Sun, Daizong Liu, Jianfeng Dong
2025 A* conf
Audio Does Matter: Importance-Aware Multi-Granularity Fusion for Video Moment Retrieval.
ACM Multimedia
Junan Lin, Daizong Liu, Xianke Chen, Xiaoye Qu, Xun Yang, Jixiang Zhu, Sanyuan Zhang, Jianfeng Dong
2025 J jnl
Audio Does Matter: Importance-Aware Multi-Granularity Fusion for Video Moment Retrieval.
CoRR
Junan Lin, Daizong Liu, Xianke Chen, Xiaoye Qu, Xun Yang, Jixiang Zhu, Sanyuan Zhang, Jianfeng Dong
2025 J jnl
Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models.
CoRR
Yifan Jia, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin, Rui Yang, Fenze Feng, Mingcai Chen, Hengyang Lu, Haozhe Wang, Xiaoye Qu, Dongrui Liu, Lizhen Cui, Yuntao Du
2025 A* conf
CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling.
EMNLP
Jihai Zhang, Xiaoye Qu, Tong Zhu, Yu Cheng
2025 — conf
Cooperative or Competitive? Understanding the Interaction between Attention Heads From A Game Theory Perspective.
ACL (1)
Xiaoye Qu, Zengqi Yu, Dongrui Liu, Wei Wei, Daizong Liu, Jianfeng Dong, Yu Cheng
2025 J jnl
DiffThinker: Towards Generative Multimodal Reasoning with Diffusion Models.
CoRR
Zefeng He, Xiaoye Qu, Yafu Li, Tong Zhu, Siyuan Huang, Yu Cheng
2025 J jnl
Diversity-Incentivized Exploration for Versatile Reasoning.
CoRR
Zican Hu, Shilin Zhang, Yafu Li, Jianhao Yan, Xuyang Hu, Leyang Cui, Xiaoye Qu, Chunlin Chen, Yu Cheng, Zhi Wang
2025 A* conf
Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning.
ICML
Zican Hu, Wei Liu, Xiaoye Qu, Xiangyu Yue, Chunlin Chen, Zhi Wang, Yu Cheng
2025 J jnl
Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning.
CoRR
Zican Hu, Wei Liu, Xiaoye Qu, Xiangyu Yue, Chunlin Chen, Zhi Wang, Yu Cheng
2025 — conf
Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts.
NAACL (Long Papers)
Tong Zhu, Daize Dong, Xiaoye Qu, Jiacheng Ruan, Wenliang Chen, Yu Cheng
2025 J jnl
ExGRPO: Learning to Reason from Experience.
CoRR
Runzhe Zhan, Yafu Li, Zhi Wang, Xiaoye Qu, Dongrui Liu, Jing Shao, Derek F. Wong, Yu Cheng
2025 B conf
Exploring Disentangled Appearance-Motion Contexts for Temporal Activity Localization.
IJCNN
Huashuo Lei, Xiaowen Cai, Daizong Liu, Xiang Fang, Xiaoye Qu, Jianfeng Dong, Jixiang Yu, Keyan Jin
2025 A* conf
Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think.
CVPR
Jie Tian, Xiaoye Qu, Zhenyi Lu, Wei Wei, Sichen Liu, Yu Cheng
2025 J jnl
Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think.
CoRR
Jie Tian, Xiaoye Qu, Zhenyi Lu, Wei Wei, Sichen Liu, Yu Cheng
2025 J jnl
Flash-DMD: Towards High-Fidelity Few-Step Image Generation with Efficient Distillation and Joint Reinforcement Learning.
CoRR
Guanjie Chen, Shirui Huang, Kai Liu, Jianchen Zhu, Xiaoye Qu, Peng Chen, Yu Cheng, Yifu Sun
2025 J jnl
FrameThinker: Learning to Think with Long Videos via Multi-Turn Frame Spotlighting.
CoRR
Zefeng He, Xiaoye Qu, Yafu Li, Siyuan Huang, Daizong Liu, Yu Cheng
2025 A* conf
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration.
CVPR
Mingyang Song, Xiaoye Qu, Jiawei Zhou, Yu Cheng
2025 J jnl
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration.
CoRR
Mingyang Song, Xiaoye Qu, Jiawei Zhou, Yu Cheng
2025 J jnl
LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid.
CoRR
Weigao Sun, Disen Lan, Yiran Zhong, Xiaoye Qu, Yu Cheng
2025 J jnl
Learning to Reason under Off-Policy Guidance.
CoRR
Jianhao Yan, Yafu Li, Zican Hu, Zhi Wang, Ganqu Cui, Xiaoye Qu, Yu Cheng, Yue Zhang
2025 J jnl
Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts.
CoRR
Weigao Sun, Disen Lan, Tong Zhu, Xiaoye Qu, Yu Cheng
2025 B conf
Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning.
COLING
Xiaoye Qu, Jiashuo Sun, Wei Wei, Daizong Liu, Jianfeng Dong, Yu Cheng
2025 A* conf
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment.
ICML
Chenghao Fan, Zhenyi Lu, Sichen Liu, Chengfeng Gu, Xiaoye Qu, Wei Wei, Yu Cheng
2025 J jnl
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment.
CoRR
Chenghao Fan, Zhenyi Lu, Sichen Liu, Xiaoye Qu, Wei Wei, Chengfeng Gu, Yu Cheng
2025 B conf
Manipulating the Bounding Box: Multimodal Controlled Backdoor Attacks on 3D Visual Grounding Models.
IJCNN
Xiayue Zhang, Huashuo Lei, Daizong Liu, Xiaoye Qu, Xiang Fang, Runwei Guan, Keyan Jin
2025 B conf
MonoAttack: A Strong Attack Framework with Depth-Migration and Attribute-Tampering for Monocular 3D Object Detection.
IJCNN
Xiayue Zhang, Huashuo Lei, Daizong Liu, Xiaoye Qu, Xiang Fang, Runwei Guan, Keyan Jin
2025 — conf
Multi-level Association Refinement Network for Dialogue Aspect-based Sentiment Quadruple Analysis.
ACL (1)
Zeliang Tong, Wei Wei, Xiaoye Qu, Rikui Huang, Zhixin Chen, Xingyu Yan
2025 A* conf
Open-World Fine-Grained Fashion Retrieval with LLM-based Commonsense Knowledge Infusion.
SIGIR
Jianfeng Dong, Junwei Zhu, Daizong Liu, Xiaoye Qu, Cuizhu Bao, Zhike Han, Jixiang Zhu, Xun Wang
2025 J jnl
OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning.
CoRR
Zhaochen Su, Linjie Li, Mingyang Song, Yunzhuo Hao, Zhengyuan Yang, Jun Zhang, Guanjie Chen, Jiawei Gu, Juntao Li, Xiaoye Qu, Yu Cheng
2025 — conf
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models.
ACL (1)
Mingyang Song, Zhaochen Su, Xiaoye Qu, Jiawei Zhou, Yu Cheng
2025 J jnl
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models.
CoRR
Mingyang Song, Zhaochen Su, Xiaoye Qu, Jiawei Zhou, Yu Cheng
2025 J jnl
Path-Aware Reasoning Network for document-level relation extraction with co-regularization loss.
Knowl. Based Syst.
Yuan Yin, Xuhua Ai, Yiting Yu, Xiaoye Qu, Wei Wei
2025 J jnl
SATORI-R1: Incentivizing Multimodal Reasoning with Spatial Grounding and Verifiable Rewards.
CoRR
Chuming Shen, Wei Wei, Xiaoye Qu, Yu Cheng
2025 — conf
SEE: Continual Fine-tuning with Sequential Ensemble of Experts.
ACL (Findings)
Zhilin Wang, Yafu Li, Xiaoye Qu, Yu Cheng
2025 J jnl
SEE: Continual Fine-tuning with Sequential Ensemble of Experts.
CoRR
Zhilin Wang, Yafu Li, Xiaoye Qu, Yu Cheng
2025 J jnl
Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models.
CoRR
Tingchen Fu, Jiawei Gu, Yafu Li, Xiaoye Qu, Yu Cheng
2025 J jnl
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models.
CoRR
Weigao Sun, Jiaxi Hu, Yucheng Zhou, Jusen Du, Disen Lan, Kexin Wang, Tong Zhu, Xiaoye Qu, Yu Zhang, Xiaoyu Mo, Daizong Liu, Yuxuan Liang, Wenliang Chen, Guoqi Li, Yu Cheng
2025 J jnl
Spotlight on Token Perception for Multimodal Reinforcement Learning.
CoRR
Siyuan Huang, Xiaoye Qu, Yafu Li, Yun Luo, Zefeng He, Daizong Liu, Yu Cheng
2025 J jnl
Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning.
CoRR
Xinyao Liao, Wei Wei, Xiaoye Qu, Yu Cheng
2025 A* conf
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback.
ICML
Yafu Li, Xuyang Hu, Xiaoye Qu, Linjie Li, Yu Cheng
2025 J jnl
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback.
CoRR
Yafu Li, Xuyang Hu, Xiaoye Qu, Linjie Li, Yu Cheng
2025 J jnl
Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers.
CoRR
Zhaochen Su, Peng Xiang, Hangyu Guo, Zhenhua Liu, Yan Ma, Xiaoye Qu, Jiaqi Liu, Yanshu Li, Kaide Zeng, Zhengyuan Yang, Linjie Li, Yu Cheng, Heng Ji, Junxian He, Yi R. (May) Fung
2025 J jnl
Towards an AI Musician: Synthesizing Sheet Music Problems for Musical Reasoning.
CoRR
Zhilin Wang, Zhe Yang, Yun Luo, Yafu Li, Xiaoye Qu, Ziqian Qiao, Haoran Zhang, Runzhe Zhan, Derek F. Wong, Jizhe Zhou, Yu Cheng
2025 J jnl
VA-π: Variational Policy Alignment for Pixel-Aware Autoregressive Generation.
CoRR
Xinyao Liao, Qiyuan He, Kai Xu, Xiaoye Qu, Yicong Li, Wei Wei, Angela Yao
2025 J jnl
VideoSSR: Video Self-Supervised Reinforcement Learning.
CoRR
Zefeng He, Xiaoye Qu, Yafu Li, Siyuan Huang, Daizong Liu, Yu Cheng
2024 J jnl
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends.
CoRR
Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Yu Cheng, Wei Hu
2024 J jnl
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends.
IEEE Trans. Knowl. Data Eng.
Xiaoye Qu, Yingjie Gu, Qingrong Xia, Zechang Li, Zhefeng Wang, Baoxing Huai
2024 J jnl
Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation.
CoRR
Xiaoye Qu, Qiyuan Chen, Wei Wei, Jiashuo Sun, Jianfeng Dong
2024 J jnl
CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling.
CoRR
Jihai Zhang, Xiaoye Qu, Tong Zhu, Yu Cheng
2024 — conf
Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting.
ACL (1)
Rikui Huang, Wei Wei, Xiaoye Qu, Shengzhe Zhang, Dangyang Chen, Yu Cheng
2024 J jnl
ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM.
CoRR
Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng
2024 A* conf
ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs.
NeurIPS
Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng
2024 J jnl
Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts.
CoRR
Tong Zhu, Daize Dong, Xiaoye Qu, Jiacheng Ruan, Wenliang Chen, Yu Cheng
2024 A* conf
Enhancing Low-Resource Relation Representations through Multi-View Decoupling.
AAAI
Chenghao Fan, Wei Wei, Xiaoye Qu, Zhenyi Lu, Wenfeng Xie, Yu Cheng, Dangyang Chen
2024 A* conf
Frequency-Aware GAN for Imperceptible Transfer Attack on 3D Point Clouds.
ACM Multimedia
Xiaowen Cai, Yunbo Tao, Daizong Liu, Pan Zhou, Xiaoye Qu, Jianfeng Dong, Keke Tang, Lichao Sun
2024 A* conf
GIST: Improving Parameter Efficient Fine-Tuning via Knowledge Interaction.
ACM Multimedia
Jiacheng Ruan, Jingsheng Gao, Mingye Xie, Suncheng Xiang, Zefang Yu, Ting Liu, Yuzhuo Fu, Xiaoye Qu
2024 A* conf
Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition.
IJCAI
Zhuojun Ding, Wei Wei, Xiaoye Qu, Dangyang Chen
2024 J jnl
Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition.
CoRR
Zhuojun Ding, Wei Wei, Xiaoye Qu, Dangyang Chen
2024 J jnl
Joint Multi-Facts Reasoning Network For Complex Temporal Question Answering Over Knowledge Graph.
CoRR
Rikui Huang, Wei Wei, Xiaoye Qu, Wenfeng Xie, Xianling Mao, Dangyang Chen
2024 Misc conf
Joint Multi-Facts Reasoning Network for Complex Temporal Question Answering Over Knowledge Graph.
ICASSP
Rikui Huang, Wei Wei, Xiaoye Qu, Wenfeng Xie, Xianling Mao, Dangyang Chen
2024 J jnl
LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training.
CoRR
Xiaoye Qu, Daize Dong, Xuyang Hu, Tong Zhu, Weigao Sun, Yu Cheng
2024 A* conf
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training.
EMNLP
Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng
2024 J jnl
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training.
CoRR
Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng
2024 — conf
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning.
ECCV (83)
Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi
2024 J jnl
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning.
CoRR
Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi
2024 — conf
Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?
ACL (1)
Zhaochen Su, Juntao Li, Jun Zhang, Tong Zhu, Xiaoye Qu, Pan Zhou, Yan Bowen, Yu Cheng, Min Zhang
2024 J jnl
Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?
CoRR
Zhaochen Su, Juntao Li, Jun Zhang, Tong Zhu, Xiaoye Qu, Pan Zhou, Yan Bowen, Yu Cheng, Min Zhang
2024 J jnl
Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning.
CoRR
Xiaoye Qu, Jiashuo Sun, Wei Wei, Yu Cheng
2024 — conf
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models.
ACL (Findings)
Zhenyi Lu, Jie Tian, Wei Wei, Xiaoye Qu, Yu Cheng, Wenfeng Xie, Dangyang Chen
2024 J jnl
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models.
CoRR
Zhenyi Lu, Jie Tian, Wei Wei, Xiaoye Qu, Yu Cheng, Wenfeng Xie, Dangyang Chen
2024 J jnl
Mitigating Multilingual Hallucination in Large Vision-Language Models.
CoRR
Xiaoye Qu, Mingyang Song, Wei Wei, Jianfeng Dong, Yu Cheng
2024 A* conf
Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval using Language.
ACM Multimedia
Xiang Fang, Wanlong Fang, Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Renfu Li, Zichuan Xu, Lixing Chen, Panpan Zheng, Yu Cheng
2024 A* conf
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion.
NeurIPS
Chenghao Fan, Zhenyi Lu, Wei Wei, Jie Tian, Xiaoye Qu, Dangyang Chen, Yu Cheng
2024 J jnl
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion.
CoRR
Chenghao Fan, Zhenyi Lu, Wei Wei, Jie Tian, Xiaoye Qu, Dangyang Chen, Yu Cheng
2024 A* conf
Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models.
NeurIPS
Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Xiang Fang, Keke Tang, Yao Wan, Lichao Sun
2024 J jnl
Rethinking Video Sentence Grounding From a Tracking Perspective With Memory Network and Masked Attention.
IEEE Trans. Multim.
Zeyu Xiong, Daizong Liu, Xiang Fang, Xiaoye Qu, Jianfeng Dong, Jiahao Zhu, Keke Tang, Pan Zhou
2024 — conf
Rethinking Weakly-Supervised Video Temporal Grounding From a Game Perspective.
ECCV (45)
Xiang Fang, Zeyu Xiong, Wanlong Fang, Xiaoye Qu, Chen Chen, Jianfeng Dong, Keke Tang, Pan Zhou, Yu Cheng, Daizong Liu
2024 A* conf
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information.
EMNLP
Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng
2024 J jnl
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information.
CoRR
Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng
2024 A* conf
Temporal Sentence Grounding with Relevance Feedback in Videos.
NeurIPS
Jianfeng Dong, Xiaoman Peng, Daizong Liu, Xiaoye Qu, Xun Yang, Cuizhu Bao, Meng Wang
2024 J jnl
Timo: Towards Better Temporal Reasoning for Language Models.
CoRR
Zhaochen Su, Jun Zhang, Tong Zhu, Xiaoye Qu, Juntao Li, Min Zhang, Yu Cheng
2024 — conf
Towards Robust Temporal Activity Localization Learning with Noisy Labels.
LREC/COLING
Daizong Liu, Xiaoye Qu, Xiang Fang, Jianfeng Dong, Pan Zhou, Guoshun Nan, Keke Tang, Wanlong Fang, Yu Cheng
2024 J jnl
Transform-Equivariant Consistency Learning for Temporal Sentence Grounding.
ACM Trans. Multim. Comput. Commun. Appl.
Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Zichuan Xu, Haozhao Wang, Xing Di, Weining Lu, Yu Cheng
2024 A* conf
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging.
NeurIPS
Zhenyi Lu, Chenghao Fan, Wei Wei, Xiaoye Qu, Dangyang Chen, Yu Cheng
2024 J jnl
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging.
CoRR
Zhenyi Lu, Chenghao Fan, Wei Wei, Xiaoye Qu, Dangyang Chen, Yu Cheng
2024 A* conf
Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization.
AAAI
Daizong Liu, Xiang Fang, Xiaoye Qu, Jianfeng Dong, He Yan, Yang Yang, Pan Zhou, Yu Cheng
2023 J jnl
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends.
CoRR
Xiaoye Qu, Yingjie Gu, Qingrong Xia, Zechang Li, Zhefeng Wang, Baoxing Huai
2023 A* conf
Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble.
AAAI
Xiaoye Qu, Jun Zeng, Daizong Liu, Zhefeng Wang, Baoxing Huai, Pan Zhou
2023 A* conf
Dual Learning with Dynamic Knowledge Distillation for Partially Relevant Video Retrieval.
ICCV
Jianfeng Dong, Minsong Zhang, Zheng Zhang, Xianke Chen, Daizong Liu, Xiaoye Qu, Xun Wang, Baolong Liu
2023 A* conf
Filling the Information Gap between Video and Query for Language-Driven Moment Retrieval.
ACM Multimedia
Daizong Liu, Xiaoye Qu, Jianfeng Dong, Guoshun Nan, Pan Zhou, Zichuan Xu, Lixing Chen, He Yan, Yu Cheng
2023 A* conf
From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval.
SIGIR
Jianfeng Dong, Xiaoman Peng, Zhe Ma, Daizong Liu, Xiaoye Qu, Xun Yang, Jixiang Zhu, Baolong Liu
2023 J jnl
From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval.
CoRR
Jianfeng Dong, Xiaoman Peng, Zhe Ma, Daizong Liu, Xiaoye Qu, Xun Yang, Jixiang Zhu, Baolong Liu
2023 J jnl
Improving Low-resource Prompt-based Relation Representation with Multi-view Decoupling Learning.
CoRR
Chenghao Fan, Wei Wei, Xiaoye Qu, Zhenyi Lu, Wenfeng Xie, Yu Cheng, Dangyang Chen
2023 A* conf
Lite-MKD: A Multi-modal Knowledge Distillation Framework for Lightweight Few-shot Action Recognition.
ACM Multimedia
Baolong Liu, Tianyi Zheng, Peng Zheng, Daizong Liu, Xiaoye Qu, Junyu Gao, Jianfeng Dong, Xun Wang
2023 J jnl
MIRACLE: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control.
CoRR
Zhenyi Lu, Wei Wei, Xiaoye Qu, Xianling Mao, Dangyang Chen, Jixiong Chen
2023 — conf
Miracle: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control.
EMNLP (Findings)
Zhenyi Lu, Wei Wei, Xiaoye Qu, Xian-Ling Mao, Dangyang Chen, Jixiong Chen
2023 A* conf
Mirror: A Universal Framework for Various Information Extraction Tasks.
EMNLP
Tong Zhu, Junfei Ren, Zijian Yu, Mengsong Wu, Guoliang Zhang, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Min Zhang
2023 J jnl
Mirror: A Universal Framework for Various Information Extraction Tasks.
CoRR
Tong Zhu, Junfei Ren, Zijian Yu, Mengsong Wu, Guoliang Zhang, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Min Zhang
2023 J jnl
Multi-level feature disentanglement network for cross-dataset face forgery detection.
Image Vis. Comput.
Zhixiao Fu, Xinyuan Chen, Daizong Liu, Xiaoye Qu, Jianfeng Dong, Xuhong Zhang, Shouling Ji
2023 J jnl
Progressive Localization Networks for Language-Based Moment Localization.
ACM Trans. Multim. Comput. Commun. Appl.
Qi Zheng, Jianfeng Dong, Xiaoye Qu, Xun Yang, Yabing Wang, Pan Zhou, Baolong Liu, Xun Wang
2023 — conf
TREA: Tree-Structure Reasoning Schema for Conversational Recommendation.
ACL (1)
Wendi Li, Wei Wei, Xiaoye Qu, Xian-Ling Mao, Ye Yuan, Wenfeng Xie, Dangyang Chen
2023 J jnl
TREA: Tree-Structure Reasoning Schema for Conversational Recommendation.
CoRR
Wendi Li, Wei Wei, Xiaoye Qu, Xian-Ling Mao, Ye Yuan, Wenfeng Xie, Dangyang Chen
2023 J jnl
Transform-Equivariant Consistency Learning for Temporal Sentence Grounding.
CoRR
Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Zichuan Xu, Haozhao Wang, Xing Di, Weining Lu, Yu Cheng
2023 A* conf
Unified Multi-modal Unsupervised Representation Learning for Skeleton-based Action Understanding.
ACM Multimedia
Shengkai Sun, Daizong Liu, Jianfeng Dong, Xiaoye Qu, Junyu Gao, Xun Yang, Xun Wang, Meng Wang
2023 J jnl
Unified Multi-modal Unsupervised Representation Learning for Skeleton-based Action Understanding.
CoRR
Shengkai Sun, Daizong Liu, Jianfeng Dong, Xiaoye Qu, Junyu Gao, Xun Yang, Xun Wang, Meng Wang
2022 J jnl
Attend to Where and When: Cascaded Attention Network for Facial Expression Recognition.
IEEE Trans. Emerg. Top. Comput. Intell.
Xiaoye Qu, Zhikang Zou, Xinxing Su, Pan Zhou, Wei Wei, Shiping Wen, Dapeng Oliver Wu
2022 — conf
Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition.
NAACL-HLT (Findings)
Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Yi Zheng, Baoxing Huai, Nicholas Jing Yuan
2022 J jnl
Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition.
CoRR
Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Yi Zheng, Baoxing Huai, Nicholas Jing Yuan
2022 J jnl
Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-grained Student Ensemble.
CoRR
Xiaoye Qu, Jun Zeng, Daizong Liu, Zhefeng Wang, Baoxing Huai, Pan Zhou
2022 A* conf
Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph.
IJCAI
Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Min Zhang
2022 A* conf
Exploring Motion and Appearance Information for Temporal Sentence Grounding.
AAAI
Daizong Liu, Xiaoye Qu, Pan Zhou, Yang Liu
2022 J jnl
Exploring Motion and Appearance Information for Temporal Sentence Grounding.
CoRR
Daizong Liu, Xiaoye Qu, Pan Zhou, Yang Liu
2022 A* conf
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding.
AAAI
Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou
2022 J jnl
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding.
CoRR
Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou
2022 J jnl
Reading-Strategy Inspired Visual Representation Learning for Text-to-Video Retrieval.
IEEE Trans. Circuits Syst. Video Technol.
Jianfeng Dong, Yabing Wang, Xianke Chen, Xiaoye Qu, Xirong Li, Yuan He, Xun Wang
2022 J jnl
Reading-strategy Inspired Visual Representation Learning for Text-to-Video Retrieval.
CoRR
Jianfeng Dong, Yabing Wang, Xianke Chen, Xiaoye Qu, Xirong Li, Yuan He, Xun Wang
2022 A* conf
Reducing the Vision and Language Bias for Temporal Sentence Grounding.
ACM Multimedia
Daizong Liu, Xiaoye Qu, Wei Hu
2022 J jnl
Reducing the Vision and Language Bias for Temporal Sentence Grounding.
CoRR
Daizong Liu, Xiaoye Qu, Wei Hu
2022 A* conf
Unsupervised Temporal Video Grounding with Deep Semantic Clustering.
AAAI
Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou
2022 J jnl
Unsupervised Temporal Video Grounding with Deep Semantic Clustering.
CoRR
Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou
2021 — conf
Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos.
EMNLP (1)
Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou
2021 J jnl
Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos.
CoRR
Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou
2021 A* conf
Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network.
ACM Multimedia
Zhikang Zou, Xiaoye Qu, Pan Zhou, Shuangjie Xu, Xiaoqing Ye, Wenhao Wu, Jin Ye
2021 J jnl
Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network.
CoRR
Zhikang Zou, Xiaoye Qu, Pan Zhou, Shuangjie Xu, Xiaoqing Ye, Wenhao Wu, Jin Ye
2021 A* conf
Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding.
CVPR
Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, Yulai Xie
2021 J jnl
Context-aware Biaffine Localizing Network for Temporal Sentence Grounding.
CoRR
Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, Yulai Xie
2021 J jnl
Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph.
CoRR
Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Min Zhang
2021 — conf
HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications.
ACL/IJCNLP (Findings)
Qiao Cheng, Juntao Liu, Xiaoye Qu, Jin Zhao, Jiaqing Liang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Yanghua Xiao
2021 Misc conf
Hierarchical Similarity Learning for Language-Based Product Image Retrieval.
ICASSP
Zhe Ma, Fenghao Liu, Jianfeng Dong, Xiaoye Qu, Yuan He, Shouling Ji
2021 J jnl
Hierarchical Similarity Learning for Language-based Product Image Retrieval.
CoRR
Zhe Ma, Fenghao Liu, Jianfeng Dong, Xiaoye Qu, Yuan He, Shouling Ji
2021 J jnl
Progressive Localization Networks for Language-based Moment Localization.
CoRR
Qi Zheng, Jianfeng Dong, Xiaoye Qu, Xun Yang, Shouling Ji, Xun Wang
2021 — conf
Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding.
EMNLP (1)
Daizong Liu, Xiaoye Qu, Pan Zhou
2021 J jnl
Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding.
CoRR
Daizong Liu, Xiaoye Qu, Pan Zhou
2021 A* conf
Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking.
AAAI
Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Xiaolin Gui
2021 J jnl
Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking.
CoRR
Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Xiaolin Gui
2020 A conf
Fine-Grained Text Sentiment Transfer via Dependency Parsing.
ECAI
Lulu Xiao, Xiaoye Qu, Ruixuan Li, Jun Wang, Pan Zhou, Yuhua Li
2020 A* conf
Fine-grained Iterative Attention Network for Temporal Language Localization in Videos.
ACM Multimedia
Xiaoye Qu, Pengwei Tang, Zhikang Zou, Yu Cheng, Jianfeng Dong, Pan Zhou, Zichuan Xu
2020 J jnl
Fine-grained Iterative Attention Network for TemporalLanguage Localization in Videos.
CoRR
Xiaoye Qu, Pengwei Tang, Zhikang Zhou, Yu Cheng, Jianfeng Dong, Pan Zhou
2020 A* conf
Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization.
ACM Multimedia
Daizong Liu, Xiaoye Qu, Xiao-Yang Liu, Jianfeng Dong, Pan Zhou, Zichuan Xu
2020 J jnl
Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization.
CoRR
Daizong Liu, Xiaoye Qu, Xiao-Yang Liu, Jianfeng Dong, Pan Zhou, Zichuan Xu
2020 B conf
Reasoning Step-by-Step: Temporal Sentence Localization in Videos via Deep Rectification-Modulation Network.
COLING
Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou
2019 — conf
Adversarial Category Alignment Network for Cross-domain Sentiment Classification.
NAACL-HLT (1)
Xiaoye Qu, Zhikang Zou, Yu Cheng, Yang Yang, Pan Zhou
2019 J jnl
Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs.
CoRR
Zhikang Zou, Yu Cheng, Xiaoye Qu, Shouling Ji, Xiaoxiao Guo, Pan Zhou
2019 J jnl
Attend to count: Crowd counting with adaptive capacity multi-scale CNNs.
Neurocomputing
Zhikang Zou, Yu Cheng, Xiaoye Qu, Shouling Ji, Xiaoxiao Guo, Pan Zhou
2019 A conf
Enhanced 3D convolutional networks for crowd counting.
BMVC
Zhikang Zou, Huiliang Shao, Xiaoye Qu, Wei Wei, Pan Zhou
2019 J jnl
Enhanced 3D convolutional networks for crowd counting.
CoRR
Zhikang Zou, Huiliang Shao, Xiaoye Qu, Wei Wei, Pan Zhou
2019 J jnl
k-Reciprocal Harmonious Attention Network for Video-Based Person Re-Identification.
IEEE Access
Xinxing Su, Xiaoye Qu, Zhikang Zou, Pan Zhou, Wei Wei, Shiping Wen, Menglan Hu
2018 J jnl
DA-Net: Learning the Fine-Grained Density Distribution With Deformation Aggregation Network.
IEEE Access
Zhikang Zou, Xinxing Su, Xiaoye Qu, Pan Zhou