| 2026 | AAAI | Rethinking Video-Language Model from the Language Input Perspective. | Xiang Fang, Wanlong Fang, Changshuo Wang, Xiaoye Qu, Daizong Liu |
| 2026 | AAAI | Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models. | 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 | ACL | Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models. | Tingchen Fu, Yafu Li, Jiawei Gu, Xiaoye Qu, Yu Cheng |
| 2025 | ACL | Cooperative or Competitive? Understanding the Interaction between Attention Heads From A Game Theory Perspective. | Xiaoye Qu, Zengqi Yu, Dongrui Liu, Wei Wei, Daizong Liu, Jianfeng Dong, Yu Cheng |
| 2025 | ACL | PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models. | Mingyang Song, Zhaochen Su, Xiaoye Qu, Jiawei Zhou, Yu Cheng |
| 2025 | ACL | Multi-level Association Refinement Network for Dialogue Aspect-based Sentiment Quadruple Analysis. | Zeliang Tong, Wei Wei, Xiaoye Qu, Rikui Huang, Zhixin Chen, Xingyu Yan |
| 2025 | ACL | SEE: Continual Fine-tuning with Sequential Ensemble of Experts. | Zhilin Wang, Yafu Li, Xiaoye Qu, Yu Cheng |
| 2025 | COLING | Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning. | Xiaoye Qu, Jiashuo Sun, Wei Wei, Daizong Liu, Jianfeng Dong, Yu Cheng |
| 2025 | CVPR | From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration. | Mingyang Song, Xiaoye Qu, Jiawei Zhou, Yu Cheng |
| 2025 | CVPR | Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think. | Jie Tian, Xiaoye Qu, Zhenyi Lu, Wei Wei, Sichen Liu, Yu Cheng |
| 2025 | EMNLP | CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling. | Jihai Zhang, Xiaoye Qu, Tong Zhu, Yu Cheng |
| 2025 | ICCV | Towards Stabilized and Efficient Diffusion Transformers Through Long-Skip-Connections With Spectral Constraints. | Guanjie Chen, Xinyu Zhao, Yucheng Zhou, Xiaoye Qu, Tianlong Chen, Yu Cheng |
| 2025 | ICCV | LLM-Assisted Entropy-Based Adaptive Distillation for Unsupervised Fine-Grained Visual Representation Learning. | Jianfeng Dong, Danfeng Luo, Daizong Liu, Jie Sun, Xiaoye Qu, Xun Yang, Dongsheng Liu, Xun Wang |
| 2025 | ICML | Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment. | Chenghao Fan, Zhenyi Lu, Sichen Liu, Chengfeng Gu, Xiaoye Qu, Wei Wei, Yu Cheng |
| 2025 | ICML | Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning. | Zican Hu, Wei Liu, Xiaoye Qu, Xiangyu Yue, Chunlin Chen, Zhi Wang, Yu Cheng |
| 2025 | ICML | Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback. | Yafu Li, Xuyang Hu, Xiaoye Qu, Linjie Li, Yu Cheng |
| 2025 | IJCNN | Exploring Disentangled Appearance-Motion Contexts for Temporal Activity Localization. | Huashuo Lei, Xiaowen Cai, Daizong Liu, Xiang Fang, Xiaoye Qu, Jianfeng Dong, Jixiang Yu, Keyan Jin |
| 2025 | IJCNN | MonoAttack: A Strong Attack Framework with Depth-Migration and Attribute-Tampering for Monocular 3D Object Detection. | Xiayue Zhang, Huashuo Lei, Daizong Liu, Xiaoye Qu, Xiang Fang, Runwei Guan, Keyan Jin |
| 2025 | IJCNN | Manipulating the Bounding Box: Multimodal Controlled Backdoor Attacks on 3D Visual Grounding Models. | Xiayue Zhang, Huashuo Lei, Daizong Liu, Xiaoye Qu, Xiang Fang, Runwei Guan, Keyan Jin |
| 2025 | NAACL | Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts. | Tong Zhu, Daize Dong, Xiaoye Qu, Jiacheng Ruan, Wenliang Chen, Yu Cheng |
| 2025 | SIGIR | Open-World Fine-Grained Fashion Retrieval with LLM-based Commonsense Knowledge Infusion. | Jianfeng Dong, Junwei Zhu, Daizong Liu, Xiaoye Qu, Cuizhu Bao, Zhike Han, Jixiang Zhu, Xun Wang |
| 2024 | AAAI | Enhancing Low-Resource Relation Representations through Multi-View Decoupling. | Chenghao Fan, Wei Wei, Xiaoye Qu, Zhenyi Lu, Wenfeng Xie, Yu Cheng, Dangyang Chen |
| 2024 | AAAI | Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization. | Daizong Liu, Xiang Fang, Xiaoye Qu, Jianfeng Dong, He Yan, Yang Yang, Pan Zhou, Yu Cheng |
| 2024 | ACL | Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting. | Rikui Huang, Wei Wei, Xiaoye Qu, Shengzhe Zhang, Dangyang Chen, Yu Cheng |
| 2024 | ACL | Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models. | Zhenyi Lu, Jie Tian, Wei Wei, Xiaoye Qu, Yu Cheng, Wenfeng Xie, Dangyang Chen |
| 2024 | ACL | Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning? | Zhaochen Su, Juntao Li, Jun Zhang, Tong Zhu, Xiaoye Qu, Pan Zhou, Yan Bowen, Yu Cheng, Min Zhang |
| 2024 | COLING | 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 |
| 2024 | ECCV | 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 |
| 2024 | ECCV | Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning. | Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi |
| 2024 | EMNLP | LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training. | Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng |
| 2024 | EMNLP | SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information. | Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng |
| 2024 | ICASSP | Joint Multi-Facts Reasoning Network for Complex Temporal Question Answering Over Knowledge Graph. | Rikui Huang, Wei Wei, Xiaoye Qu, Wenfeng Xie, Xianling Mao, Dangyang Chen |
| 2024 | IJCAI | Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition. | Zhuojun Ding, Wei Wei, Xiaoye Qu, Dangyang Chen |
| 2023 | AAAI | Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble. | Xiaoye Qu, Jun Zeng, Daizong Liu, Zhefeng Wang, Baoxing Huai, Pan Zhou |
| 2023 | ACL | TREA: Tree-Structure Reasoning Schema for Conversational Recommendation. | Wendi Li, Wei Wei, Xiaoye Qu, Xian-Ling Mao, Ye Yuan, Wenfeng Xie, Dangyang Chen |
| 2023 | EMNLP | Mirror: A Universal Framework for Various Information Extraction Tasks. | Tong Zhu, Junfei Ren, Zijian Yu, Mengsong Wu, Guoliang Zhang, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Min Zhang |
| 2023 | EMNLP | Miracle: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control. | Zhenyi Lu, Wei Wei, Xiaoye Qu, Xian-Ling Mao, Dangyang Chen, Jixiong Chen |
| 2023 | ICCV | Dual Learning with Dynamic Knowledge Distillation for Partially Relevant Video Retrieval. | Jianfeng Dong, Minsong Zhang, Zheng Zhang, Xianke Chen, Daizong Liu, Xiaoye Qu, Xun Wang, Baolong Liu |
| 2023 | SIGIR | From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval. | Jianfeng Dong, Xiaoman Peng, Zhe Ma, Daizong Liu, Xiaoye Qu, Xun Yang, Jixiang Zhu, Baolong Liu |
| 2022 | AAAI | Memory-Guided Semantic Learning Network for Temporal Sentence Grounding. | Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou |
| 2022 | AAAI | Unsupervised Temporal Video Grounding with Deep Semantic Clustering. | Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou |
| 2022 | AAAI | Exploring Motion and Appearance Information for Temporal Sentence Grounding. | Daizong Liu, Xiaoye Qu, Pan Zhou, Yang Liu |
| 2022 | IJCAI | Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph. | Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Min Zhang |
| 2022 | NAACL | Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition. | Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Yi Zheng, Baoxing Huai, Nicholas Jing Yuan |
| 2021 | AAAI | Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking. | Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Xiaolin Gui |
| 2021 | ACL | HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications. | Qiao Cheng, Juntao Liu, Xiaoye Qu, Jin Zhao, Jiaqing Liang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Yanghua Xiao |
| 2021 | CVPR | Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding. | Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, Yulai Xie |
| 2021 | EMNLP | Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos. | Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou |
| 2021 | EMNLP | Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding. | Daizong Liu, Xiaoye Qu, Pan Zhou |
| 2021 | ICASSP | Hierarchical Similarity Learning for Language-Based Product Image Retrieval. | Zhe Ma, Fenghao Liu, Jianfeng Dong, Xiaoye Qu, Yuan He, Shouling Ji |
| 2020 | COLING | Reasoning Step-by-Step: Temporal Sentence Localization in Videos via Deep Rectification-Modulation Network. | Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou |
| 2020 | ECAI | Fine-Grained Text Sentiment Transfer via Dependency Parsing. | Lulu Xiao, Xiaoye Qu, Ruixuan Li, Jun Wang, Pan Zhou, Yuhua Li |
| 2019 | BMVC | Enhanced 3D convolutional networks for crowd counting. | Zhikang Zou, Huiliang Shao, Xiaoye Qu, Wei Wei, Pan Zhou |
| 2019 | NAACL | Adversarial Category Alignment Network for Cross-domain Sentiment Classification. | Xiaoye Qu, Zhikang Zou, Yu Cheng, Yang Yang, Pan Zhou |