DA-Net: Learning the Fine-Grained Density Distribution With Deformation Aggregation Network. - Zhikang Zou; Xinxing Su; Xiaoye Qu; Pan Zhou 001 (IEEE Access, 2018)

Enhanced 3D convolutional networks for crowd counting. - Zhikang Zou; Huiliang Shao; Xiaoye Qu; Wei Wei 002; Pan Zhou 001 (BMVC, 2019)

Adversarial Category Alignment Network for Cross-domain Sentiment Classification. - Xiaoye Qu; Zhikang Zou; Yu Cheng 001; Yang Yang 002; Pan Zhou 001 (NAACL-HLT (1), 2019)

k-Reciprocal Harmonious Attention Network for Video-Based Person Re-Identification. - Xinxing Su; Xiaoye Qu; Zhikang Zou; Pan Zhou 001; Wei Wei 002; Shiping Wen 001; Menglan Hu (IEEE Access, 2019)

Attend to count: Crowd counting with adaptive capacity multi-scale CNNs. - Zhikang Zou; Yu Cheng 001; Xiaoye Qu; Shouling Ji; Xiaoxiao Guo; Pan Zhou 001 (Neurocomputing, 2019)

Reasoning Step-by-Step: Temporal Sentence Localization in Videos via Deep Rectification-Modulation Network. - Daizong Liu; Xiaoye Qu; Jianfeng Dong; Pan Zhou 001 (COLING, 2020)

Fine-Grained Text Sentiment Transfer via Dependency Parsing. - Lulu Xiao; Xiaoye Qu; Ruixuan Li 001; Jun Wang 018; Pan Zhou 001; Yuhua Li 003 (ECAI, 2020)

Jointly Cross- and Self-Modal Graph Attention Network for Query-Based Moment Localization. - Daizong Liu; Xiaoye Qu; Xiao-Yang Liu; Jianfeng Dong; Pan Zhou 001; Zichuan Xu (ACM Multimedia, 2020)

Fine-grained Iterative Attention Network for Temporal Language Localization in Videos. - Xiaoye Qu; Pengwei Tang; Zhikang Zou; Yu Cheng 001; Jianfeng Dong; Pan Zhou 001; Zichuan Xu (ACM Multimedia, 2020)

Fine-grained Iterative Attention Network for TemporalLanguage Localization in Videos. - Xiaoye Qu; Pengwei Tang; Zhikang Zhou; Yu Cheng 001; Jianfeng Dong; Pan Zhou 001 (CoRR, 2020)

Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking. - Yingjie Gu; Xiaoye Qu; Zhefeng Wang 001; Baoxing Huai; Nicholas Jing Yuan; Xiaolin Gui (AAAI, 2021)

HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications. - Qiao Cheng 005; Juntao Liu; Xiaoye Qu; Jin Zhao 004; Jiaqing Liang; Zhefeng Wang 001; Baoxing Huai; Nicholas Jing Yuan; Yanghua Xiao (ACL/IJCNLP (Findings), 2021)

Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding. - Daizong Liu; Xiaoye Qu; Jianfeng Dong; Pan Zhou 001; Yu Cheng 001; Wei Wei 002; Zichuan Xu; Yulai Xie (CVPR, 2021)

Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos. - Daizong Liu; Xiaoye Qu; Jianfeng Dong; Pan Zhou 001 (EMNLP (1), 2021)

Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding. - Daizong Liu; Xiaoye Qu; Pan Zhou 001 (EMNLP (1), 2021)

Hierarchical Similarity Learning for Language-Based Product Image Retrieval. - Zhe Ma 002; Fenghao Liu; Jianfeng Dong; Xiaoye Qu; Yuan He 011; Shouling Ji (ICASSP, 2021)

Coarse to Fine: Domain Adaptive Crowd Counting via Adversarial Scoring Network. - Zhikang Zou; Xiaoye Qu; Pan Zhou 001; Shuangjie Xu; Xiaoqing Ye; Wenhao Wu; Jin Ye 006 (ACM Multimedia, 2021)

Progressive Localization Networks for Language-based Moment Localization. - Qi Zheng; Jianfeng Dong; Xiaoye Qu; Xun Yang 001; Shouling Ji; Xun Wang 007 (CoRR, 2021)

Memory-Guided Semantic Learning Network for Temporal Sentence Grounding. - Daizong Liu; Xiaoye Qu; Xing Di; Yu Cheng 001; Zichuan Xu; Pan Zhou 001 (AAAI, 2022)

Unsupervised Temporal Video Grounding with Deep Semantic Clustering. - Daizong Liu; Xiaoye Qu; Yinzhen Wang; Xing Di; Kai Zou; Yu Cheng 001; Zichuan Xu; Pan Zhou 001 (AAAI, 2022)

Exploring Motion and Appearance Information for Temporal Sentence Grounding. - Daizong Liu; Xiaoye Qu; Pan Zhou 001; Yang Liu (AAAI, 2022)

Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph. - Tong Zhu 002; Xiaoye Qu; Wenliang Chen; Zhefeng Wang 001; Baoxing Huai; Nicholas Jing Yuan; Min Zhang 005 (IJCAI, 2022)

Reducing the Vision and Language Bias for Temporal Sentence Grounding. - Daizong Liu; Xiaoye Qu; Wei Hu 003 (ACM Multimedia, 2022)

Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition. - Yingjie Gu; Xiaoye Qu; Zhefeng Wang 001; Yi Zheng; Baoxing Huai; Nicholas Jing Yuan (NAACL-HLT (Findings), 2022)

Reading-Strategy Inspired Visual Representation Learning for Text-to-Video Retrieval. - Jianfeng Dong; Yabing Wang; Xianke Chen; Xiaoye Qu; Xirong Li 001; Yuan He 011; Xun Wang 007 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Attend to Where and When: Cascaded Attention Network for Facial Expression Recognition. - Xiaoye Qu; Zhikang Zou; Xinxing Su; Pan Zhou 001; Wei Wei 002; Shiping Wen 001; Dapeng Oliver Wu (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble. - Xiaoye Qu; Jun Zeng; Daizong Liu; Zhefeng Wang 001; Baoxing Huai; Pan Zhou 001 (AAAI, 2023)

TREA: Tree-Structure Reasoning Schema for Conversational Recommendation. - Wendi Li; Wei Wei 002; Xiaoye Qu; Xian-Ling Mao; Ye Yuan; Wenfeng Xie; Dangyang Chen (ACL (1), 2023)

Mirror: A Universal Framework for Various Information Extraction Tasks. - Tong Zhu 002; Junfei Ren; Zijian Yu; Mengsong Wu; Guoliang Zhang; Xiaoye Qu; Wenliang Chen; Zhefeng Wang 001; Baoxing Huai; Min Zhang 005 (EMNLP, 2023)

Miracle: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control. - Zhenyi Lu; Wei Wei 002; Xiaoye Qu; Xian-Ling Mao; Dangyang Chen; Jixiong Chen (EMNLP (Findings), 2023)

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 007; Baolong Liu (ICCV, 2023)

Filling the Information Gap between Video and Query for Language-Driven Moment Retrieval. - Daizong Liu; Xiaoye Qu; Jianfeng Dong; Guoshun Nan; Pan Zhou 001; Zichuan Xu; Lixing Chen; He Yan; Yu Cheng 001 (ACM Multimedia, 2023)

Lite-MKD: A Multi-modal Knowledge Distillation Framework for Lightweight Few-shot Action Recognition. - Baolong Liu; Tianyi Zheng; Peng Zheng; Daizong Liu; Xiaoye Qu; Junyu Gao 002; Jianfeng Dong; Xun Wang 007 (ACM Multimedia, 2023)

Unified Multi-modal Unsupervised Representation Learning for Skeleton-based Action Understanding. - Shengkai Sun; Daizong Liu; Jianfeng Dong; Xiaoye Qu; Junyu Gao 002; Xun Yang 001; Xun Wang 007; Meng Wang 001 (ACM Multimedia, 2023)

From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval. - Jianfeng Dong; Xiaoman Peng; Zhe Ma 002; Daizong Liu; Xiaoye Qu; Xun Yang 001; Jixiang Zhu; Baolong Liu (SIGIR, 2023)

Improving Low-resource Prompt-based Relation Representation with Multi-view Decoupling Learning. - Chenghao Fan; Wei Wei 002; Xiaoye Qu; Zhenyi Lu; Wenfeng Xie; Yu Cheng 001; Dangyang Chen (CoRR, 2023)

Multi-level feature disentanglement network for cross-dataset face forgery detection. - Zhixiao Fu; Xinyuan Chen; Daizong Liu; Xiaoye Qu; Jianfeng Dong; Xuhong Zhang 002; Shouling Ji (Image Vis. Comput., 2023)

Progressive Localization Networks for Language-Based Moment Localization. - Qi Zheng; Jianfeng Dong; Xiaoye Qu; Xun Yang 001; Yabing Wang; Pan Zhou 001; Baolong Liu; Xun Wang 007 (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Enhancing Low-Resource Relation Representations through Multi-View Decoupling. - Chenghao Fan; Wei Wei 002; Xiaoye Qu; Zhenyi Lu; Wenfeng Xie; Yu Cheng 001; Dangyang Chen (AAAI, 2024)

Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization. - Daizong Liu; Xiang Fang; Xiaoye Qu; Jianfeng Dong; He Yan; Yang Yang 002; Pan Zhou 001; Yu Cheng 001 (AAAI, 2024)

Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting. - Rikui Huang; Wei Wei 002; Xiaoye Qu; Shengzhe Zhang; Dangyang Chen; Yu Cheng 001 (ACL (1), 2024)

Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models. - Zhenyi Lu; Jie Tian; Wei Wei 002; Xiaoye Qu; Yu Cheng 001; Wenfeng Xie; Dangyang Chen (ACL (Findings), 2024)

Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning? - Zhaochen Su; Juntao Li; Jun Zhang; Tong Zhu 002; Xiaoye Qu; Pan Zhou 001; Yan Bowen; Yu Cheng 001; Min Zhang 005 (ACL (1), 2024)

Towards Robust Temporal Activity Localization Learning with Noisy Labels. - Daizong Liu; Xiaoye Qu; Xiang Fang; Jianfeng Dong; Pan Zhou 001; Guoshun Nan; Keke Tang; Wanlong Fang; Yu Cheng 001 (LREC/COLING, 2024)

Rethinking Weakly-Supervised Video Temporal Grounding From a Game Perspective. - Xiang Fang; Zeyu Xiong; Wanlong Fang; Xiaoye Qu; Chen Chen 006; Jianfeng Dong; Keke Tang; Pan Zhou 001; Yu Cheng 001; Daizong Liu (ECCV (45), 2024)

Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning. - Jihai Zhang 002; Xiang Lan 004; Xiaoye Qu; Yu Cheng 001; Mengling Feng; Bryan Hooi (ECCV (83), 2024)

LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training. - Tong Zhu 002; Xiaoye Qu; Daize Dong; Jiacheng Ruan; Jingqi Tong; Conghui He; Yu Cheng 001 (EMNLP, 2024)

SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information. - Jiashuo Sun; Jihai Zhang 002; Yucheng Zhou 001; Zhaochen Su; Xiaoye Qu; Yu Cheng 001 (EMNLP, 2024)

Joint Multi-Facts Reasoning Network for Complex Temporal Question Answering Over Knowledge Graph. - Rikui Huang; Wei Wei 002; Xiaoye Qu; Wenfeng Xie; Xianling Mao; Dangyang Chen (ICASSP, 2024)

Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition. - Zhuojun Ding; Wei Wei 002; Xiaoye Qu; Dangyang Chen (IJCAI, 2024)

Frequency-Aware GAN for Imperceptible Transfer Attack on 3D Point Clouds. - Xiaowen Cai 001; Yunbo Tao; Daizong Liu; Pan Zhou 001; Xiaoye Qu; Jianfeng Dong; Keke Tang; Lichao Sun 001 (ACM Multimedia, 2024)

Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval using Language. - Xiang Fang; Wanlong Fang; Daizong Liu; Xiaoye Qu; Jianfeng Dong; Pan Zhou 001; Renfu Li; Zichuan Xu; Lixing Chen; Panpan Zheng; Yu Cheng 001 (ACM Multimedia, 2024)

GIST: Improving Parameter Efficient Fine-Tuning via Knowledge Interaction. - Jiacheng Ruan; Jingsheng Gao; Mingye Xie; Suncheng Xiang; Zefang Yu; Ting Liu 016; Yuzhuo Fu; Xiaoye Qu (ACM Multimedia, 2024)

Temporal Sentence Grounding with Relevance Feedback in Videos. - Jianfeng Dong; Xiaoman Peng; Daizong Liu; Xiaoye Qu; Xun Yang 001; Cuizhu Bao; Meng Wang 001 (NeurIPS, 2024)

On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion. - Chenghao Fan; Zhenyi Lu; Wei Wei 002; Jie Tian; Xiaoye Qu; Dangyang Chen; Yu Cheng 001 (NeurIPS, 2024)

Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models. - Daizong Liu; Mingyu Yang; Xiaoye Qu; Pan Zhou 001; Xiang Fang; Keke Tang; Yao Wan 001; Lichao Sun 001 (NeurIPS, 2024)

Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging. - Zhenyi Lu; Chenghao Fan; Wei Wei 002; Xiaoye Qu; Dangyang Chen; Yu Cheng 001 (NeurIPS, 2024)

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs. - Zhaochen Su; Jun Zhang; Xiaoye Qu; Tong Zhu 002; Yanshu Li; Jiashuo Sun; Juntao Li; Min Zhang 005; Yu Cheng 001 (NeurIPS, 2024)

Timo: Towards Better Temporal Reasoning for Language Models. - Zhaochen Su; Jun Zhang; Tong Zhu 002; Xiaoye Qu; Juntao Li; Min Zhang 005; Yu Cheng 001 (CoRR, 2024)

A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends. - Daizong Liu; Mingyu Yang; Xiaoye Qu; Pan Zhou 001; Yu Cheng 001; Wei Hu 003 (CoRR, 2024)

Mitigating Multilingual Hallucination in Large Vision-Language Models. - Xiaoye Qu; Mingyang Song; Wei Wei 002; Jianfeng Dong; Yu Cheng 001 (CoRR, 2024)

Alleviating Hallucination in Large Vision-Language Models with Active Retrieval Augmentation. - Xiaoye Qu; Qiyuan Chen 003; Wei Wei 002; Jishuo Sun; Jianfeng Dong (CoRR, 2024)

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM. - Zhaochen Su; Jun Zhang; Xiaoye Qu; Tong Zhu 002; Yanshu Li; Jiashuo Sun; Juntao Li; Min Zhang 005; Yu Cheng 001 (CoRR, 2024)

Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning. - Xiaoye Qu; Jiashuo Sun; Wei Wei 002; Yu Cheng 001 (CoRR, 2024)

CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling. - Jihai Zhang 002; Xiaoye Qu; Tong Zhu 002; Yu Cheng 001 (CoRR, 2024)

LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training. - Xiaoye Qu; Daize Dong; Xuyang Hu; Tong Zhu 002; Weigao Sun; Yu Cheng 001 (CoRR, 2024)

Rethinking Video Sentence Grounding From a Tracking Perspective With Memory Network and Masked Attention. - Zeyu Xiong; Daizong Liu; Xiang Fang; Xiaoye Qu; Jianfeng Dong; Jiahao Zhu; Keke Tang; Pan Zhou 001 (IEEE Trans. Multim., 2024)

A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends. - Xiaoye Qu; Yingjie Gu; Qingrong Xia; Zechang Li; Zhefeng Wang 001; Baoxing Huai (IEEE Trans. Knowl. Data Eng., 2024)

Transform-Equivariant Consistency Learning for Temporal Sentence Grounding. - Daizong Liu; Xiaoye Qu; Jianfeng Dong; Pan Zhou 001; Zichuan Xu; Haozhao Wang; Xing Di; Weining Lu; Yu Cheng 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Cooperative or Competitive? Understanding the Interaction between Attention Heads From A Game Theory Perspective. - Xiaoye Qu; Zengqi Yu; Dongrui Liu; Wei Wei 002; Daizong Liu; Jianfeng Dong; Yu Cheng 001 (ACL (1), 2025)

PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models. - Mingyang Song; Zhaochen Su; Xiaoye Qu; Jiawei Zhou; Yu Cheng 001 (ACL (1), 2025)

Multi-level Association Refinement Network for Dialogue Aspect-based Sentiment Quadruple Analysis. - Zeliang Tong; Wei Wei 002; Xiaoye Qu; Rikui Huang; Zhixin Chen; Xingyu Yan (ACL (1), 2025)

SEE: Continual Fine-tuning with Sequential Ensemble of Experts. - Zhilin Wang; Yafu Li; Xiaoye Qu; Yu Cheng 001 (ACL (Findings), 2025)

Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning. - Xiaoye Qu; Jiashuo Sun; Wei Wei 002; Daizong Liu; Jianfeng Dong; Yu Cheng 001 (COLING, 2025)

From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration. - Mingyang Song; Xiaoye Qu; Jiawei Zhou; Yu Cheng 001 (CVPR, 2025)

Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think. - Jie Tian; Xiaoye Qu; Zhenyi Lu; Wei Wei 002; Sichen Liu; Yu Cheng 001 (CVPR, 2025)

Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts. - Tong Zhu 002; Daize Dong; Xiaoye Qu; Jiacheng Ruan; Wenliang Chen; Yu Cheng 001 (NAACL (Long Papers), 2025)

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 007 (SIGIR, 2025)

Path-Aware Reasoning Network for document-level relation extraction with co-regularization loss. - Yuan Yin; Xuhua Ai; Yiting Yu; Xiaoye Qu; Wei Wei 002 (Knowl. Based Syst., 2025)

Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback. - Yafu Li; Xuyang Hu; Xiaoye Qu; Linjie Li; Yu Cheng 001 (CoRR, 2025)

LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid. - Weigao Sun; Disen Lan; Yiran Zhong; Xiaoye Qu; Yu Cheng 001 (CoRR, 2025)

Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment. - Chenghao Fan; Zhenyi Lu; Sichen Liu; Xiaoye Qu; Wei Wei 002; Chengfeng Gu; Yu Cheng 001 (CoRR, 2025)

Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts. - Weigao Sun; Disen Lan; Tong Zhu 002; Xiaoye Qu; Yu Cheng 001 (CoRR, 2025)

A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond. - Xiaoye Qu; Yafu Li; Zhaochen Su; Weigao Sun; Jianhao Yan; Dongrui Liu; Ganqu Cui; Daizong Liu; Shuxian Liang; Junxian He; Peng Li 030; Wei Wei 002; et al. (CoRR, 2025)

Learning to Reason under Off-Policy Guidance. - Jianhao Yan; Yafu Li; Zican Hu; Zhi Wang; Ganqu Cui; Xiaoye Qu; Yu Cheng 001; Yue Zhang 004 (CoRR, 2025)

OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning. - Zhaochen Su; Linjie Li; Mingyang Song; Yunzhuo Hao; Zhengyuan Yang; Jun Zhang; Guanjie Chen; Jiawei Gu; Juntao Li; Xiaoye Qu; Yu Cheng 001 (CoRR, 2025)

Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models. - Tingchen Fu; Jiawei Gu; Yafu Li; Xiaoye Qu; Yu Cheng 001 (CoRR, 2025)

SATORI-R1: Incentivizing Multimodal Reasoning with Spatial Grounding and Verifiable Rewards. - Chuming Shen; Wei Wei 002; Xiaoye Qu; Yu Cheng 001 (CoRR, 2025)

Step-level Reward for Free in RL-based T2I Diffusion Model Fine-tuning. - Xinyao Liao; Wei Wei 002; Xiaoye Qu; Yu Cheng 001 (CoRR, 2025)

Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models. - Yifan Jia; Kailin Jiang; Yuyang Liang; Qihan Ren; Yi Xin 003; Rui Yang; Fenze Feng; Mingcai Chen; Hengyang Lu; Haozhe Wang 002; Xiaoye Qu; Dongrui Liu; et al. (CoRR, 2025)

Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning. - Zican Hu; Wei Liu 131; Xiaoye Qu; Xiangyu Yue 001; Chunlin Chen; Zhi Wang; Yu Cheng 001 (CoRR, 2025)

Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning. - Shuang Chen; Yue Guo; Zhaochen Su; Yafu Li; Yulun Wu; Jiacheng Chen; Jiayu Chen; Weijie Wang; Xiaoye Qu; Yu Cheng 001 (CoRR, 2025)

Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers. - Zhaochen Su; Peng Xiang; Hangyu Guo; Zhenhua Liu; Yan Ma; Xiaoye Qu; Jiaqi Liu; Yanshu Li; Kaide Zeng; Zhengyuan Yang; Linjie Li; Yu Cheng 001; et al. (CoRR, 2025)

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45° Law. - Yicheng Bao; Guanxu Chen; Mingkang Chen; Yunhao Chen; Chiyu Chen; Lingjie Chen; Sirui Chen; Xinquan Chen; Jie Cheng; Yu Cheng 001; Dengke Deng; Yizhuo Ding; et al. (CoRR, 2025)

Audio Does Matter: Importance-Aware Multi-Granularity Fusion for Video Moment Retrieval. - Junan Lin; Daizong Liu; Xianke Chen; Xiaoye Qu; Xun Yang 001; Jixiang Zhu; Sanyuan Zhang; Jianfeng Dong (CoRR, 2025)

Speed Always Wins: A Survey on Efficient Architectures for Large Language Models. - Weigao Sun; Jiaxi Hu; Yucheng Zhou 001; Jusen Du; Disen Lan; Kexin Wang; Tong Zhu 002; Xiaoye Qu; Yu Zhang; Xiaoyu Mo; Daizong Liu; Yuxuan Liang; et al. (CoRR, 2025)