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2020 – today
- 2025
[j12]Yuan Yin, Xuhua Ai, Yiting Yu
, Xiaoye Qu, Wei Wei:
Path-Aware Reasoning Network for document-level relation extraction with co-regularization loss. Knowl. Based Syst. 310: 112931 (2025)- [j11]Xiaoye Qu, Qiyuan Chen, Wei Wei, Jiashuo Sun, Daizong Liu, Jianfeng Dong:
Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation. ACM Trans. Multim. Comput. Commun. Appl. 21(9): 258:1-258:22 (2025) - [c57]Zhilin Wang, Yafu Li, Xiaoye Qu, Yu Cheng:
SEE: Continual Fine-tuning with Sequential Ensemble of Experts. ACL (Findings) 2025: 7418-7432 - [c56]Zeliang Tong, Wei Wei, Xiaoye Qu, Rikui Huang, Zhixin Chen, Xingyu Yan:
Multi-level Association Refinement Network for Dialogue Aspect-based Sentiment Quadruple Analysis. ACL (1) 2025: 14035-14057 - [c55]Xiaoye Qu, Zengqi Yu, Dongrui Liu, Wei Wei, Daizong Liu, Jianfeng Dong, Yu Cheng:
Cooperative or Competitive? Understanding the Interaction between Attention Heads From A Game Theory Perspective. ACL (1) 2025: 14079-14099 - [c54]Mingyang Song, Zhaochen Su, Xiaoye Qu, Jiawei Zhou, Yu Cheng:
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models. ACL (1) 2025: 25299-25346 - [c53]Xiaoye Qu, Jiashuo Sun, Wei Wei, Daizong Liu, Jianfeng Dong, Yu Cheng:
Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning. COLING 2025: 4428-4441 - [c52]Mingyang Song, Xiaoye Qu, Jiawei Zhou, Yu Cheng:
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration. CVPR 2025: 9434-9444 - [c51]Jie Tian, Xiaoye Qu, Zhenyi Lu, Wei Wei, Sichen Liu, Yu Cheng:
Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think. CVPR 2025: 12512-12521 - [c50]Tong Zhu, Daize Dong, Xiaoye Qu, Jiacheng Ruan, Wenliang Chen, Yu Cheng:
Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts. NAACL (Long Papers) 2025: 1663-1677 - [c49]Jianfeng Dong, Junwei Zhu, Daizong Liu, Xiaoye Qu, Cuizhu Bao, Zhike Han, Jixiang Zhu, Xun Wang:
Open-World Fine-Grained Fashion Retrieval with LLM-based Commonsense Knowledge Infusion. SIGIR 2025: 223-232 - [i70]Mingyang Song, Zhaochen Su, Xiaoye Qu, Jiawei Zhou, Yu Cheng:
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models. CoRR abs/2501.03124 (2025) - [i69]Yafu Li, Xuyang Hu, Xiaoye Qu, Linjie Li, Yu Cheng:
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback. CoRR abs/2501.12895 (2025) - [i68]Weigao Sun, Disen Lan, Yiran Zhong, Xiaoye Qu, Yu Cheng:
LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid. CoRR abs/2502.07563 (2025) - [i67]Chenghao Fan, Zhenyi Lu, Sichen Liu, Xiaoye Qu, Wei Wei, Chengfeng Gu, Yu Cheng:
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment. CoRR abs/2502.16894 (2025) - [i66]Jie Tian, Xiaoye Qu, Zhenyi Lu, Wei Wei, Sichen Liu, Yu Cheng:
Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think. CoRR abs/2503.00948 (2025) - [i65]Weigao Sun, Disen Lan, Tong Zhu, Xiaoye Qu, Yu Cheng:
Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts. CoRR abs/2503.05447 (2025) - [i64]Mingyang Song, Xiaoye Qu, Jiawei Zhou, Yu Cheng:
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration. CoRR abs/2503.12821 (2025) - [i63]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:
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond. CoRR abs/2503.21614 (2025) - [i62]Zhilin Wang, Yafu Li, Xiaoye Qu, Yu Cheng:
SEE: Continual Fine-tuning with Sequential Ensemble of Experts. CoRR abs/2504.06664 (2025) - [i61]Jianhao Yan, Yafu Li, Zican Hu, Zhi Wang, Ganqu Cui, Xiaoye Qu, Yu Cheng, Yue Zhang:
Learning to Reason under Off-Policy Guidance. CoRR abs/2504.14945 (2025) - [i60]Zhaochen Su, Linjie Li, Mingyang Song, Yunzhuo Hao, Zhengyuan Yang, Jun Zhang, Guanjie Chen, Jiawei Gu, Juntao Li, Xiaoye Qu, Yu Cheng:
OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning. CoRR abs/2505.08617 (2025) - [i59]Tingchen Fu, Jiawei Gu, Yafu Li, Xiaoye Qu, Yu Cheng:
Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models. CoRR abs/2505.14810 (2025) - [i58]Chuming Shen, Wei Wei, Xiaoye Qu, Yu Cheng:
SATORI-R1: Incentivizing Multimodal Reasoning with Spatial Grounding and Verifiable Rewards. CoRR abs/2505.19094 (2025) - [i57]Xinyao Liao, Wei Wei, Xiaoye Qu, Yu Cheng:
Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning. CoRR abs/2505.19196 (2025) - [i56]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:
Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models. CoRR abs/2505.19509 (2025) - [i55]Zican Hu, Wei Liu, Xiaoye Qu, Xiangyu Yue, Chunlin Chen, Zhi Wang, Yu Cheng:
Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning. CoRR abs/2505.19761 (2025) - [i54]Shuang Chen, Yue Guo, Zhaochen Su, Yafu Li, Yulun Wu, Jiacheng Chen, Jiayu Chen, Weijie Wang, Xiaoye Qu, Yu Cheng:
Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning. CoRR abs/2506.04207 (2025) - [i53]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:
Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers. CoRR abs/2506.23918 (2025) - [i52]Yicheng Bao, Guanxu Chen, Mingkang Chen, Yunhao Chen, Chiyu Chen, Lingjie Chen, Sirui Chen, Xinquan Chen, Jie Cheng, Yu Cheng, Dengke Deng, Yizhuo Ding, Dan Ding, Xiaoshan Ding, Yi Ding, Zhichen Dong, Lingxiao Du, Yuyu Fan, Xinshun Feng, Yanwei Fu, Yuxuan Gao, Ruijun Ge, Tianle Gu, Lujun Gui, Jiaxuan Guo, Qianxi He, Yuenan Hou, Xuhao Hu, Hong Huang, Kaichen Huang, Shiyang Huang, Yuxian Jiang, Shanzhe Lei, Jie Li, Lijun Li, Hao Li, Juncheng Li, Xiangtian Li, Yafu Li, Lingyu Li, Xueyan Li, Haotian Liang, Dongrui Liu, Qihua Liu, Zhixuan Liu, Bangwei Liu, Huacan Liu, Yuexiao Liu, Zongkai Liu, Chaochao Lu, Yudong Lu, Xiaoya Lu, Zhenghao Lu, Qitan Lv, Caoyuan Ma, Jiachen Ma, Xiaoya Ma, Zhongtian Ma, Lingyu Meng, Ziqi Miao, Yazhe Niu, Yuezhang Peng, Yuan Pu, Han Qi, Chen Qian, Xingge Qiao, Jingjing Qu, Jiashu Qu, Wanying Qu, Wenwen Qu, Xiaoye Qu, Qihan Ren, Qingnan Ren, Qingyu Ren, Jing Shao, Wenqi Shao, Shuai Shao, Dongxing Shi, Xin Song, Xinhao Song, Yan Teng, Xuan Tong, Yingchun Wang, Xuhong Wang, Shujie Wang, Xin Wang, Yige Wang, Yixu Wang, Yuanfu Wang, Futing Wang, Ruofan Wang, Wenjie Wang, Yajie Wang, Muhao Wei, Xiaoyu Wen, Fenghua Weng, Yuqi Wu, Yingtong Xiong, Xingcheng Xu:
SafeWork-R1: Coevolving Safety and Intelligence under the AI-45° Law. CoRR abs/2507.18576 (2025) - [i51]Junan Lin, Daizong Liu, Xianke Chen, Xiaoye Qu, Xun Yang, Jixiang Zhu, Sanyuan Zhang, Jianfeng Dong:
Audio Does Matter: Importance-Aware Multi-Granularity Fusion for Video Moment Retrieval. CoRR abs/2508.04273 (2025) - [i50]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:
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models. CoRR abs/2508.09834 (2025) - [i49]Zhilin Wang, Zhe Yang, Yun Luo, Yafu Li, Xiaoye Qu, Ziqian Qiao, Haoran Zhang, Runzhe Zhan, Derek F. Wong, Jizhe Zhou, Yu Cheng:
Towards an AI Musician: Synthesizing Sheet Music Problems for Musical Reasoning. CoRR abs/2509.04059 (2025) - [i48]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:
A Survey of Reinforcement Learning for Large Reasoning Models. CoRR abs/2509.08827 (2025) - [i47]Zefeng He, Xiaoye Qu, Yafu Li, Siyuan Huang, Daizong Liu, Yu Cheng:
FrameThinker: Learning to Think with Long Videos via Multi-Turn Frame Spotlighting. CoRR abs/2509.24304 (2025) - [i46]Zican Hu, Shilin Zhang, Yafu Li, Jianhao Yan, Xuyang Hu, Leyang Cui, Xiaoye Qu, Chunlin Chen, Yu Cheng, Zhi Wang:
Diversity-Incentivized Exploration for Versatile Reasoning. CoRR abs/2509.26209 (2025) - 2024
- [j10]Xiaoye Qu, Yingjie Gu, Qingrong Xia, Zechang Li, Zhefeng Wang, Baoxing Huai:
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends. IEEE Trans. Knowl. Data Eng. 36(3): 943-959 (2024) - [j9]Zeyu Xiong, Daizong Liu, Xiang Fang, Xiaoye Qu, Jianfeng Dong, Jiahao Zhu, Keke Tang, Pan Zhou:
Rethinking Video Sentence Grounding From a Tracking Perspective With Memory Network and Masked Attention. IEEE Trans. Multim. 26: 11204-11218 (2024) - [j8]Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Zichuan Xu, Haozhao Wang, Xing Di, Weining Lu, Yu Cheng:
Transform-Equivariant Consistency Learning for Temporal Sentence Grounding. ACM Trans. Multim. Comput. Commun. Appl. 20(4): 106:1-106:19 (2024) - [c48]Daizong Liu, Xiang Fang, Xiaoye Qu, Jianfeng Dong, He Yan, Yang Yang, Pan Zhou, Yu Cheng:
Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization. AAAI 2024: 3567-3575 - [c47]Chenghao Fan, Wei Wei, Xiaoye Qu, Zhenyi Lu, Wenfeng Xie, Yu Cheng, Dangyang Chen:
Enhancing Low-Resource Relation Representations through Multi-View Decoupling. AAAI 2024: 17968-17976 - [c46]Zhenyi Lu, Jie Tian, Wei Wei, Xiaoye Qu, Yu Cheng, Wenfeng Xie, Dangyang Chen:
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models. ACL (Findings) 2024: 7841-7864 - [c45]Rikui Huang, Wei Wei, Xiaoye Qu, Shengzhe Zhang, Dangyang Chen, Yu Cheng:
Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting. ACL (1) 2024: 10783-10794 - [c44]Zhaochen Su, Juntao Li, Jun Zhang, Tong Zhu, Xiaoye Qu, Pan Zhou, Yan Bowen, Yu Cheng, Min Zhang:
Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning? ACL (1) 2024: 13014-13033 - [c43]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 - [c42]Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi:
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning. ECCV (83) 2024: 35-52 - [c41]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 - [c40]Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng:
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information. EMNLP 2024: 7611-7629 - [c39]Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng:
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training. EMNLP 2024: 15913-15923 - [c38]Rikui Huang, Wei Wei, Xiaoye Qu, Wenfeng Xie, Xianling Mao, Dangyang Chen:
Joint Multi-Facts Reasoning Network for Complex Temporal Question Answering Over Knowledge Graph. ICASSP 2024: 10331-10335 - [c37]Zhuojun Ding, Wei Wei, Xiaoye Qu, Dangyang Chen:
Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition. IJCAI 2024: 6252-6260 - [c36]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 - [c35]Xiaowen Cai, Yunbo Tao, Daizong Liu, Pan Zhou, Xiaoye Qu, Jianfeng Dong, Keke Tang, Lichao Sun:
Frequency-Aware GAN for Imperceptible Transfer Attack on 3D Point Clouds. ACM Multimedia 2024: 6162-6171 - [c34]Jiacheng Ruan, Jingsheng Gao, Mingye Xie, Suncheng Xiang, Zefang Yu, Ting Liu, Yuzhuo Fu, Xiaoye Qu:
GIST: Improving Parameter Efficient Fine-Tuning via Knowledge Interaction. ACM Multimedia 2024: 8835-8844 - [c33]Jianfeng Dong, Xiaoman Peng, Daizong Liu, Xiaoye Qu, Xun Yang, Cuizhu Bao, Meng Wang:
Temporal Sentence Grounding with Relevance Feedback in Videos. NeurIPS 2024 - [c32]Chenghao Fan, Zhenyi Lu, Wei Wei, Jie Tian, Xiaoye Qu, Dangyang Chen, Yu Cheng:
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion. NeurIPS 2024 - [c31]Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Xiang Fang, Keke Tang, Yao Wan, Lichao Sun:
Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models. NeurIPS 2024 - [c30]Zhenyi Lu, Chenghao Fan, Wei Wei, Xiaoye Qu, Dangyang Chen, Yu Cheng:
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging. NeurIPS 2024 - [c29]Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng:
ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs. NeurIPS 2024 - [i45]Rikui Huang, Wei Wei, Xiaoye Qu, Wenfeng Xie, Xianling Mao, Dangyang Chen:
Joint Multi-Facts Reasoning Network For Complex Temporal Question Answering Over Knowledge Graph. CoRR abs/2401.02212 (2024) - [i44]Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi:
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning. CoRR abs/2402.11816 (2024) - [i43]Zhuojun Ding, Wei Wei, Xiaoye Qu, Dangyang Chen:
Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition. CoRR abs/2406.01213 (2024) - [i42]Zhenyi Lu, Jie Tian, Wei Wei, Xiaoye Qu, Yu Cheng, Wenfeng Xie, Dangyang Chen:
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models. CoRR abs/2406.07001 (2024) - [i41]Zhaochen Su, Juntao Li, Jun Zhang, Tong Zhu, Xiaoye Qu, Pan Zhou, Yan Bowen, Yu Cheng, Min Zhang:
Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning? CoRR abs/2406.09072 (2024) - [i40]Tong Zhu, Daize Dong, Xiaoye Qu, Jiacheng Ruan, Wenliang Chen, Yu Cheng:
Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts. CoRR abs/2406.11256 (2024) - [i39]Zhaochen Su, Jun Zhang, Tong Zhu, Xiaoye Qu, Juntao Li, Min Zhang, Yu Cheng:
Timo: Towards Better Temporal Reasoning for Language Models. CoRR abs/2406.14192 (2024) - [i38]Zhenyi Lu, Chenghao Fan, Wei Wei, Xiaoye Qu, Dangyang Chen, Yu Cheng:
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging. CoRR abs/2406.15479 (2024) - [i37]Chenghao Fan, Zhenyi Lu, Wei Wei, Jie Tian, Xiaoye Qu, Dangyang Chen, Yu Cheng:
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion. CoRR abs/2406.15480 (2024) - [i36]Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng:
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training. CoRR abs/2406.16554 (2024) - [i35]Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Yu Cheng, Wei Hu:
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends. CoRR abs/2407.07403 (2024) - [i34]Xiaoye Qu, Mingyang Song, Wei Wei, Jianfeng Dong, Yu Cheng:
Mitigating Multilingual Hallucination in Large Vision-Language Models. CoRR abs/2408.00550 (2024) - [i33]Xiaoye Qu, Qiyuan Chen, Wei Wei, Jishuo Sun, Jianfeng Dong:
Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation. CoRR abs/2408.00555 (2024) - [i32]Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng:
ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM. CoRR abs/2408.12076 (2024) - [i31]Xiaoye Qu, Jiashuo Sun, Wei Wei, Yu Cheng:
Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning. CoRR abs/2408.17150 (2024) - [i30]Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng:
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information. CoRR abs/2409.14083 (2024) - [i29]Jihai Zhang, Xiaoye Qu, Tong Zhu, Yu Cheng:
CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling. CoRR abs/2409.19291 (2024) - [i28]Xiaoye Qu, Daize Dong, Xuyang Hu, Tong Zhu, Weigao Sun, Yu Cheng:
LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training. CoRR abs/2411.15708 (2024) - 2023
- [j7]Zhixiao Fu, Xinyuan Chen, Daizong Liu, Xiaoye Qu, Jianfeng Dong, Xuhong Zhang, Shouling Ji:
Multi-level feature disentanglement network for cross-dataset face forgery detection. Image Vis. Comput. 135: 104686 (2023) - [j6]Qi Zheng, Jianfeng Dong, Xiaoye Qu, Xun Yang, Yabing Wang, Pan Zhou, Baolong Liu, Xun Wang:
Progressive Localization Networks for Language-Based Moment Localization. ACM Trans. Multim. Comput. Commun. Appl. 19(2): 55:1-55:21 (2023) - [c28]Xiaoye Qu, Jun Zeng, Daizong Liu, Zhefeng Wang, Baoxing Huai, Pan Zhou:
Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble. AAAI 2023: 13501-13509 - [c27]Wendi Li, Wei Wei, Xiaoye Qu, Xian-Ling Mao, Ye Yuan, Wenfeng Xie, Dangyang Chen:
TREA: Tree-Structure Reasoning Schema for Conversational Recommendation. ACL (1) 2023: 2970-2982 - [c26]Zhenyi Lu, Wei Wei, Xiaoye Qu, Xian-Ling Mao, Dangyang Chen, Jixiong Chen:
Miracle: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control. EMNLP (Findings) 2023: 5933-5957 - [c25]Tong Zhu, Junfei Ren, Zijian Yu, Mengsong Wu, Guoliang Zhang, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Min Zhang:
Mirror: A Universal Framework for Various Information Extraction Tasks. EMNLP 2023: 8861-8876 - [c24]Jianfeng Dong, Minsong Zhang, Zheng Zhang, Xianke Chen, Daizong Liu, Xiaoye Qu, Xun Wang, Baolong Liu:
Dual Learning with Dynamic Knowledge Distillation for Partially Relevant Video Retrieval. ICCV 2023: 11268-11278 - [c23]Shengkai Sun, Daizong Liu, Jianfeng Dong, Xiaoye Qu, Junyu Gao, Xun Yang, Xun Wang, Meng Wang:
Unified Multi-modal Unsupervised Representation Learning for Skeleton-based Action Understanding. ACM Multimedia 2023: 2973-2984 - [c22]Daizong Liu, Xiaoye Qu, Jianfeng Dong, Guoshun Nan, Pan Zhou, Zichuan Xu, Lixing Chen, He Yan, Yu Cheng:
Filling the Information Gap between Video and Query for Language-Driven Moment Retrieval. ACM Multimedia 2023: 4190-4199 - [c21]Baolong Liu, Tianyi Zheng, Peng Zheng, Daizong Liu, Xiaoye Qu, Junyu Gao, Jianfeng Dong, Xun Wang:
Lite-MKD: A Multi-modal Knowledge Distillation Framework for Lightweight Few-shot Action Recognition. ACM Multimedia 2023: 7283-7294 - [c20]Jianfeng Dong, Xiaoman Peng, Zhe Ma, Daizong Liu, Xiaoye Qu, Xun Yang, Jixiang Zhu, Baolong Liu:
From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval. SIGIR 2023: 1273-1282 - [i27]Xiaoye Qu, Yingjie Gu, Qingrong Xia, Zechang Li, Zhefeng Wang, Baoxing Huai:
A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends. CoRR abs/2302.03512 (2023) - [i26]Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Zichuan Xu, Haozhao Wang, Xing Di, Weining Lu, Yu Cheng:
Transform-Equivariant Consistency Learning for Temporal Sentence Grounding. CoRR abs/2305.04123 (2023) - [i25]Jianfeng Dong, Xiaoman Peng, Zhe Ma, Daizong Liu, Xiaoye Qu, Xun Yang, Jixiang Zhu, Baolong Liu:
From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval. CoRR abs/2305.10260 (2023) - [i24]Wendi Li, Wei Wei, Xiaoye Qu, Xian-Ling Mao, Ye Yuan, Wenfeng Xie, Dangyang Chen:
TREA: Tree-Structure Reasoning Schema for Conversational Recommendation. CoRR abs/2307.10543 (2023) - [i23]Zhenyi Lu, Wei Wei, Xiaoye Qu, Xianling Mao, Dangyang Chen, Jixiong Chen:
MIRACLE: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control. CoRR abs/2310.18342 (2023) - [i22]Shengkai Sun, Daizong Liu, Jianfeng Dong, Xiaoye Qu, Junyu Gao, Xun Yang, Xun Wang, Meng Wang:
Unified Multi-modal Unsupervised Representation Learning for Skeleton-based Action Understanding. CoRR abs/2311.03106 (2023) - [i21]Tong Zhu, Junfei Ren, Zijian Yu, Mengsong Wu, Guoliang Zhang, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Min Zhang:
Mirror: A Universal Framework for Various Information Extraction Tasks. CoRR abs/2311.05419 (2023) - [i20]Chenghao Fan, Wei Wei, Xiaoye Qu, Zhenyi Lu, Wenfeng Xie, Yu Cheng, Dangyang Chen:
Improving Low-resource Prompt-based Relation Representation with Multi-view Decoupling Learning. CoRR abs/2312.17267 (2023) - 2022
- [j5]Jianfeng Dong, Yabing Wang, Xianke Chen, Xiaoye Qu, Xirong Li, Yuan He, Xun Wang:
Reading-Strategy Inspired Visual Representation Learning for Text-to-Video Retrieval. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5680-5694 (2022) - [j4]Xiaoye Qu, Zhikang Zou, Xinxing Su, Pan Zhou, Wei Wei, Shiping Wen, Dapeng Oliver Wu:
Attend to Where and When: Cascaded Attention Network for Facial Expression Recognition. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 580-592 (2022) - [c19]Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou:
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding. AAAI 2022: 1665-1673 - [c18]Daizong Liu, Xiaoye Qu, Pan Zhou, Yang Liu:
Exploring Motion and Appearance Information for Temporal Sentence Grounding. AAAI 2022: 1674-1682 - [c17]Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou:
Unsupervised Temporal Video Grounding with Deep Semantic Clustering. AAAI 2022: 1683-1691 - [c16]Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Min Zhang:
Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph. IJCAI 2022: 4552-4558 - [c15]Daizong Liu, Xiaoye Qu, Wei Hu:
Reducing the Vision and Language Bias for Temporal Sentence Grounding. ACM Multimedia 2022: 4092-4101 - [c14]Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Yi Zheng, Baoxing Huai, Nicholas Jing Yuan:
Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition. NAACL-HLT (Findings) 2022: 1863-1873 - [i19]Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou:
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding. CoRR abs/2201.00454 (2022) - [i18]Daizong Liu, Xiaoye Qu, Pan Zhou, Yang Liu:
Exploring Motion and Appearance Information for Temporal Sentence Grounding. CoRR abs/2201.00457 (2022) - [i17]Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou:
Unsupervised Temporal Video Grounding with Deep Semantic Clustering. CoRR abs/2201.05307 (2022) - [i16]Jianfeng Dong, Yabing Wang, Xianke Chen, Xiaoye Qu, Xirong Li, Yuan He, Xun Wang:
Reading-strategy Inspired Visual Representation Learning for Text-to-Video Retrieval. CoRR abs/2201.09168 (2022) - [i15]Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Yi Zheng, Baoxing Huai, Nicholas Jing Yuan:
Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition. CoRR abs/2204.05544 (2022) - [i14]Daizong Liu, Xiaoye Qu, Wei Hu:
Reducing the Vision and Language Bias for Temporal Sentence Grounding. CoRR abs/2207.13457 (2022) - [i13]Xiaoye Qu, Jun Zeng, Daizong Liu, Zhefeng Wang, Baoxing Huai, Pan Zhou:
Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-grained Student Ensemble. CoRR abs/2212.06522 (2022) - 2021
- [c13]Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Xiaolin Gui:
Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking. AAAI 2021: 12920-12928 - [c12]Qiao Cheng, Juntao Liu, Xiaoye Qu, Jin Zhao, Jiaqing Liang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Yanghua Xiao:
HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications. ACL/IJCNLP (Findings) 2021: 2819-2831 - [c11]Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, Yulai Xie:
Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding. CVPR 2021: 11235-11244 - [c10]Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou:
Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos. EMNLP (1) 2021: 9292-9301 - [c9]Daizong Liu, Xiaoye Qu, Pan Zhou:
Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding. EMNLP (1) 2021: 9302-9311 - [c8]Zhe Ma, Fenghao Liu, Jianfeng Dong, Xiaoye Qu, Yuan He, Shouling Ji:
Hierarchical Similarity Learning for Language-Based Product Image Retrieval. ICASSP 2021: 4335-4339 - [c7]Zhikang Zou, Xiaoye Qu, Pan Zhou, Shuangjie Xu, Xiaoqing Ye, Wenhao Wu, Jin Ye:
Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network. ACM Multimedia 2021: 2185-2194 - [i12]Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Xiaolin Gui:
Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking. CoRR abs/2101.02394 (2021) - [i11]Qi Zheng, Jianfeng Dong, Xiaoye Qu, Xun Yang, Shouling Ji, Xun Wang:
Progressive Localization Networks for Language-based Moment Localization. CoRR abs/2102.01282 (2021) - [i10]Zhe Ma, Fenghao Liu, Jianfeng Dong, Xiaoye Qu, Yuan He, Shouling Ji:
Hierarchical Similarity Learning for Language-based Product Image Retrieval. CoRR abs/2102.09375 (2021) - [i9]Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, Yulai Xie:
Context-aware Biaffine Localizing Network for Temporal Sentence Grounding. CoRR abs/2103.11555 (2021) - [i8]Zhikang Zou, Xiaoye Qu, Pan Zhou, Shuangjie Xu, Xiaoqing Ye, Wenhao Wu, Jin Ye:
Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network. CoRR abs/2107.12858 (2021) - [i7]Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou:
Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos. CoRR abs/2109.06398 (2021) - [i6]Daizong Liu, Xiaoye Qu, Pan Zhou:
Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding. CoRR abs/2109.06400 (2021) - [i5]Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Min Zhang:
Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph. CoRR abs/2112.06013 (2021) - 2020
- [c6]Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou:
Reasoning Step-by-Step: Temporal Sentence Localization in Videos via Deep Rectification-Modulation Network. COLING 2020: 1841-1851 - [c5]Lulu Xiao, Xiaoye Qu, Ruixuan Li, Jun Wang, Pan Zhou, Yuhua Li:
Fine-Grained Text Sentiment Transfer via Dependency Parsing. ECAI 2020: 2228-2235 - [c4]Daizong Liu, Xiaoye Qu, Xiao-Yang Liu, Jianfeng Dong, Pan Zhou, Zichuan Xu:
Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization. ACM Multimedia 2020: 4070-4078 - [c3]Xiaoye Qu, Pengwei Tang, Zhikang Zou, Yu Cheng, Jianfeng Dong, Pan Zhou, Zichuan Xu:
Fine-grained Iterative Attention Network for Temporal Language Localization in Videos. ACM Multimedia 2020: 4280-4288 - [i4]Daizong Liu, Xiaoye Qu, Xiao-Yang Liu, Jianfeng Dong, Pan Zhou, Zichuan Xu:
Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization. CoRR abs/2008.01403 (2020) - [i3]Xiaoye Qu, Pengwei Tang, Zhikang Zhou, Yu Cheng, Jianfeng Dong, Pan Zhou:
Fine-grained Iterative Attention Network for TemporalLanguage Localization in Videos. CoRR abs/2008.02448 (2020)
2010 – 2019
- 2019
- [j3]Xinxing Su, Xiaoye Qu, Zhikang Zou, Pan Zhou, Wei Wei, Shiping Wen, Menglan Hu:
k-Reciprocal Harmonious Attention Network for Video-Based Person Re-Identification. IEEE Access 7: 22457-22470 (2019) - [j2]Zhikang Zou, Yu Cheng, Xiaoye Qu, Shouling Ji, Xiaoxiao Guo, Pan Zhou:
Attend to count: Crowd counting with adaptive capacity multi-scale CNNs. Neurocomputing 367: 75-83 (2019) - [c2]Zhikang Zou, Huiliang Shao, Xiaoye Qu, Wei Wei, Pan Zhou:
Enhanced 3D convolutional networks for crowd counting. BMVC 2019: 250 - [c1]Xiaoye Qu, Zhikang Zou, Yu Cheng, Yang Yang, Pan Zhou:
Adversarial Category Alignment Network for Cross-domain Sentiment Classification. NAACL-HLT (1) 2019: 2496-2508 - [i2]Zhikang Zou, Yu Cheng, Xiaoye Qu, Shouling Ji, Xiaoxiao Guo, Pan Zhou:
Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs. CoRR abs/1908.02797 (2019) - [i1]Zhikang Zou, Huiliang Shao, Xiaoye Qu, Wei Wei, Pan Zhou:
Enhanced 3D convolutional networks for crowd counting. CoRR abs/1908.04121 (2019) - 2018
- [j1]Zhikang Zou, Xinxing Su, Xiaoye Qu, Pan Zhou:
DA-Net: Learning the Fine-Grained Density Distribution With Deformation Aggregation Network. IEEE Access 6: 60745-60756 (2018)
Coauthor Index
[c57] [c55] [c54] [c53] [c52] [c51] [c50] [i70] [i69] [i68] [i67] [i66] [i65] [i64] [i63] [i62] [i61] [i60] [i59] [i58] [i57] [i55] [i54] [i53] [i52] [i50] [i49] [i47] [i46] [j8] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c36] [c32] [c30] [c29] [i44] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i32] [i31] [i30] [i29] [i28] [c22] [i26] [i20] [c19] [c17] [i19] [i17] [c11] [i9] [c3] [i3] [j2] [c1] [i2]
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