Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation. - Jiawei Chen 007; Yan Feng; Martin Ester; Sheng Zhou 004; Chun Chen 001; Can Wang 001 (CIKM, 2018)

PRRE: Personalized Relation Ranking Embedding for Attributed Networks. - Sheng Zhou 004; Hongxia Yang; Xin Wang 019; Jiajun Bu; Martin Ester; Pinggang Yu; Jianwei Zhang 012; Can Wang 001 (CIKM, 2018)

ANRL: Attributed Network Representation Learning via Deep Neural Networks. - Zhen Zhang 023; Hongxia Yang; Jiajun Bu; Sheng Zhou 004; Pinggang Yu; Jianwei Zhang 012; Martin Ester; Can Wang 001 (IJCAI, 2018)

SamWalker: Social Recommendation with Informative Sampling Strategy. - Jiawei Chen 007; Can Wang 001; Sheng Zhou 004; Qihao Shi; Yan Feng; Chun Chen 001 (WWW, 2019)

HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding. - Sheng Zhou 004; Jiajun Bu; Xin Wang 019; Jiawei Chen 007; Bingbing Hu; Defang Chen 001; Can Wang 001 (CoRR, 2019)

Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. - Jiawei Chen 007; Can Wang 001; Sheng Zhou 004; Qihao Shi; Jingbang Chen; Yan Feng; Chun Chen 001 (AAAI, 2020)

DGE: Deep Generative Network Embedding Based on Commonality and Individuality. - Sheng Zhou 004; Xin Wang 019; Jiajun Bu; Martin Ester; Pinggang Yu; Jiawei Chen 007; Qihao Shi; Can Wang 001 (AAAI, 2020)

Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification. - Ning Ma; Jiajun Bu; Jieyu Yang; Zhen Zhang 023; Chengwei Yao; Zhi Yu; Sheng Zhou 004; Xifeng Yan (CIKM, 2020)

Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network. - Sheng Zhou 004; Jiajun Bu; Zhen Zhang 023; Can Wang 001; Lingzhou Ma; Jianfeng Zhang (Knowl. Based Syst., 2020)

Distilling Holistic Knowledge with Graph Neural Networks. - Sheng Zhou 004; Yucheng Wang; Defang Chen 001; Jiawei Chen 007; Xin Wang 019; Can Wang 001; Jiajun Bu (ICCV, 2021)

Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data. - Ning Ma; Jiajun Bu; Zhen Zhang 023; Sheng Zhou 004 (CoRR, 2021)

Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation. - Ning Ma; Jiajun Bu; Lixian Lu; Jun Wen; Zhen Zhang 023; Sheng Zhou 004; Xifeng Yan (CoRR, 2021)

Online Adversarial Distillation for Graph Neural Networks. - Can Wang 001; Zhe Wang 001; Defang Chen 001; Sheng Zhou 004; Yan Feng; Chun Chen 001 (CoRR, 2021)

Profit maximization for competitive social advertising. - Qihao Shi; Can Wang 001; Deshi Ye; Jiawei Chen 007; Sheng Zhou 004; Yan Feng; Chun Chen 001; Yanhao Huang (Theor. Comput. Sci., 2021)

Efficient Medical Image Segmentation Based on Knowledge Distillation. - Dian Qin; Jiajun Bu; Zhe Liu; Xin Shen; Sheng Zhou 004; Jingjun Gu; Zhijua Wang; Lei Wu; Huifen Dai (IEEE Trans. Medical Imaging, 2021)

CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation. - Jiawei Chen 007; Chengquan Jiang; Can Wang 001; Sheng Zhou 004; Yan Feng; Chun Chen 001; Martin Ester; Xiangnan He 001 (ACM Trans. Inf. Syst., 2021)

Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition. - Ning Ma; Hongyi Zhang; Xuhui Li; Sheng Zhou 004; Zhen Zhang 023; Jun Wen; Haifeng Li; Jingjun Gu; Jiajun Bu (ECCV (4), 2022)

RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on. - Chao Lin; Zhao Li 007; Sheng Zhou 004; Shichang Hu; Jialun Zhang; Linhao Luo; Jiarun Zhang; Longtao Huang; Yuan He (IJCAI, 2022)

Hilbert Distillation for Cross-Dimensionality Networks. - Dian Qin; Haishuai Wang; Zhe Liu; Hongjia Xu; Sheng Zhou 004; Jiajun Bu (NeurIPS, 2022)

Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding. - Can Wang 001; Sheng Zhou 004; Kang Yu; Defang Chen 001; Bolang Li; Yan Feng; Chun Chen 001 (WWW, 2022)

How to Teach: Learning Data-Free Knowledge Distillation from Curriculum. - Jingru Li; Sheng Zhou 004; Liangcheng Li; Xifeng Yan; Zhi Yu; Jiajun Bu (CoRR, 2022)

Context-guided entropy minimization for semi-supervised domain adaptation. - Ning Ma; Jiajun Bu; Lixian Lu; Jun Wen; Sheng Zhou 004; Zhen Zhang 023; Jingjun Gu; Haifeng Li; Xifeng Yan (Neural Networks, 2022)

Direction-Aware User Recommendation Based on Asymmetric Network Embedding. - Sheng Zhou 004; Xin Wang 019; Martin Ester; Bolang Li; Chen Ye; Zhen Zhang 023; Can Wang 001; Jiajun Bu (ACM Trans. Inf. Syst., 2022)

Robust Sequence Networked Submodular Maximization. - Qihao Shi; Bingyang Fu; Can Wang 001; Jiawei Chen 007; Sheng Zhou 004; Yan Feng; Chun Chen 001 (AAAI, 2023)

Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction. - Yuanchen Bei; Hao Chen 062; Shengyuan Chen; Xiao Huang 001; Sheng Zhou 004; Feiran Huang (CIKM, 2023)

Homophily-enhanced Structure Learning for Graph Clustering. - Ming Gu 014; Gaoming Yang; Sheng Zhou 004; Ning Ma; Jiawei Chen 007; Qiaoyu Tan; Meihan Liu; Jiajun Bu (CIKM, 2023)

CDR: Conservative Doubly Robust Learning for Debiased Recommendation. - Zijie Song; Jiawei Chen 007; Sheng Zhou 004; Qihao Shi; Yan Feng; Chun Chen 001; Can Wang 001 (CIKM, 2023)

DPGN: Denoising Periodic Graph Network for Life Service Recommendation. - Hao Xu; Huixuan Chi; Danyang Liu; Sheng Zhou 004; Mengdi Zhang 002 (CIKM, 2023)

Zero-Shot Entity Typing in Knowledge Graphs. - Sheng Zhou 004; Zhe Wang 001; Kewen Wang 001; Zhiqiang Zhuang (DASFAA (Workshops), 2023)

Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. - Yuanchen Bei; Sheng Zhou 004; Qiaoyu Tan; Hao Xu; Hao Chen 062; Zhao Li 007; Jiajun Bu (ICDM, 2023)

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. - Zhiyao Zhou; Sheng Zhou 004; Bochao Mao; Xuanyi Zhou; Jiawei Chen 007; Qiaoyu Tan; Daochen Zha; Yan Feng; Chun Chen 001; Can Wang 001 (NeurIPS, 2023)

Unbiased Knowledge Distillation for Recommendation. - Gang Chen; Jiawei Chen 007; Fuli Feng; Sheng Zhou 004; Xiangnan He 001 (WSDM, 2023)

Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. - Jiawei Chen 007; Junkang Wu; Jiancan Wu; Xuezhi Cao; Sheng Zhou 004; Xiangnan He 001 (WWW, 2023)

Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation. - Jiawei Chen 007; Junkang Wu; Jiancan Wu; Sheng Zhou 004; Xuezhi Cao; Xiangnan He 001 (CoRR, 2023)

Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPR. - Chunpeng Zhou; Kangjie Ning; Haishuai Wang; Zhi Yu; Sheng Zhou 004; Jiajun Bu (CoRR, 2023)

Modeling Spatiotemporal Periodicity and Collaborative Signal for Local-Life Service Recommendation. - Huixuan Chi; Hao Xu; Mengya Liu; Yuanchen Bei; Sheng Zhou 004; Danyang Liu; Mengdi Zhang 002 (CoRR, 2023)

Improving topic disentanglement via contrastive learning. - Xixi Zhou; Jiajun Bu; Sheng Zhou 004; Zhi Yu; Ji Zhao 016; Xifeng Yan (Inf. Process. Manag., 2023)

Dynamic data-free knowledge distillation by easy-to-hard learning strategy. - Jingru Li; Sheng Zhou 004; Liangcheng Li; Haishuai Wang; Jiajun Bu; Zhi Yu (Inf. Sci., 2023)

SamWalker++: Recommendation With Informative Sampling Strategy. - Can Wang 001; Jiawei Chen 007; Sheng Zhou 004; Qihao Shi; Yan Feng; Chun Chen 001 (IEEE Trans. Knowl. Data Eng., 2023)

Source-free semi-supervised domain adaptation via progressive Mixup. - Ning Ma; Haishuai Wang; Zhen Zhang 023; Sheng Zhou 004; Hongyang Chen; Jiajun Bu (Knowl. Based Syst., 2023)

Hierarchical Knowledge Propagation and Distillation for Few-Shot Learning. - Chunpeng Zhou; Haishuai Wang; Sheng Zhou 004; Zhi Yu; Danushka Bandara; Jiajun Bu (Neural Networks, 2023)

Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation. - Zihao Zhao 004; Jiawei Chen 007; Sheng Zhou 004; Xiangnan He 001; Xuezhi Cao; Fuzheng Zhang; Wei Wu 014 (IEEE Trans. Knowl. Data Eng., 2023)

Rethinking Propagation for Unsupervised Graph Domain Adaptation. - Meihan Liu; Zeyu Fang; Zhen Zhang 023; Ming Gu 014; Sheng Zhou 004; Xin Wang 019; Jiajun Bu (AAAI, 2024)

MMAD: Multi-modal Movie Audio Description. - Xiaojun Ye 002; Junhao Chen; Xiang Li; Haidong Xin; Chao Li; Sheng Zhou 004; Jiajun Bu (LREC/COLING, 2024)

Inversive-Reasoning Augmentation for Natural Language Inference. - Xixi Zhou; Xin Jie; Sheng Zhou 004; Keyue Shi; Zhi Yu; Jiajun Bu; Haishuai Wang (ICASSP, 2024)

CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. - Yuanchen Bei; Hao Xu; Sheng Zhou 004; Huixuan Chi; Haishuai Wang; Mengdi Zhang 002; Zhao Li 007; Jiajun Bu (ICDE, 2024)

PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation. - Weiqin Yang 002; Jiawei Chen 007; Xin Xin 003; Sheng Zhou 004; Binbin Hu; Yan Feng; Chun Chen 001; Can Wang 001 (NeurIPS, 2024)

Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation. - Meihan Liu; Zhen Zhang 023; Jiachen Tang; Jiajun Bu; Bingsheng He; Sheng Zhou 004 (NeurIPS, 2024)

GC-Bench: An Open and Unified Benchmark for Graph Condensation. - Qingyun Sun; Ziying Chen; Beining Yang; Cheng Ji 001; Xingcheng Fu; Sheng Zhou 004; Hao Peng 001; Jianxin Li 002; Philip S. Yu (NeurIPS, 2024)

NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise. - Zhonghao Wang 002; Danyu Sun; Sheng Zhou 004; Haobo Wang 001; Jiapei Fan; Longtao Huang; Jiajun Bu (NeurIPS, 2024)

SIGformer: Sign-aware Graph Transformer for Recommendation. - Sirui Chen; Jiawei Chen 007; Sheng Zhou 004; Bohao Wang; Shen Han; Chanfei Su; Yuqing Yuan; Can Wang 001 (SIGIR, 2024)

Making Accessible Movies Easily: An Intelligent Tool for Authoring and Integrating Audio Descriptions to Movies. - Ming Shen; Gang Huang; Yuxuan Wu; Shuyi Song; Sheng Zhou 004; Liangcheng Li; Zhi Yu; Wei Wang 470; Jiajun Bu (W4A, 2024)

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. - Hao Chen 062; Yuanchen Bei; Qijie Shen; Yue Xu; Sheng Zhou 004; Wenbing Huang 001; Feiran Huang; Senzhang Wang; Xiao Huang 001 (WWW, 2024)

Distributionally Robust Graph-based Recommendation System. - Bohao Wang; Jiawei Chen 007; Changdong Li; Sheng Zhou 004; Qihao Shi; Yang Gao 001; Yan Feng; Chun Chen 001; Can Wang 001 (WWW, 2024)

A Survey on Graph Condensation. - Hongjia Xu; Liangliang Zhang; Yao Ma 001; Sheng Zhou 004; Zhuonan Zheng; Jiajun Bu (CoRR, 2024)

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. - Siyi Lin; Chongming Gao; Jiawei Chen 007; Sheng Zhou 004; Binbin Hu; Can Wang 001 (CoRR, 2024)

Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection. - Yuanchen Bei; Sheng Zhou 004; Jinke Shi; Yao Ma 001; Haishuai Wang; Jiajun Bu (CoRR, 2024)

Revisiting the Message Passing in Heterophilous Graph Neural Networks. - Zhuonan Zheng; Yuanchen Bei; Sheng Zhou 004; Yao Ma 001; Ming Gu 014; Hongjia Xu; Chengyu Lai; Jiawei Chen 007; Jiajun Bu (CoRR, 2024)

Towards a Unified Framework of Clustering-based Anomaly Detection. - Zeyu Fang; Ming Gu 014; Sheng Zhou 004; Jiawei Chen 007; Qiaoyu Tan; Haishuai Wang; Jiajun Bu (CoRR, 2024)

Better Late Than Never: Formulating and Benchmarking Recommendation Editing. - Chengyu Lai; Sheng Zhou 004; Zhimeng Jiang; Qiaoyu Tan; Yuanchen Bei; Jiawei Chen 007; Ningyu Zhang 001; Jiajun Bu (CoRR, 2024)

Motif-driven Subgraph Structure Learning for Graph Classification. - Zhiyao Zhou; Sheng Zhou 004; Bochao Mao; Jiawei Chen 007; Qingyun Sun; Yan Feng; Chun Chen 001; Can Wang 001 (CoRR, 2024)

DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models. - Renqiu Xia; Song Mao; Xiangchao Yan; Hongbin Zhou; Bo Zhang 069; Haoyang Peng; Jiahao Pi; Daocheng Fu; Wenjie Wu; Hancheng Ye; Shiyang Feng; Bin Wang 065; et al. (CoRR, 2024)

PruningBench: A Comprehensive Benchmark of Structural Pruning. - Haoling Li; Changhao Li; Mengqi Xue; Gongfan Fang; Sheng Zhou 004; Zunlei Feng; Huiqiong Wang; Yong Wang; Lechao Cheng; Mingli Song; Jie Song 011 (CoRR, 2024)

MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction. - Yuyan Liu; Sirui Ding; Sheng Zhou 004; Wenqi Fan; Qiaoyu Tan (CoRR, 2024)

SAM-SP: Self-Prompting Makes SAM Great Again. - Chunpeng Zhou; Kangjie Ning; Qianqian Shen; Sheng Zhou 004; Zhi Yu; Haishuai Wang (CoRR, 2024)

Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power. - Zhe Wang 001; Tianjian Zhao; Zhen Zhang 023; Jiawei Chen 007; Sheng Zhou 004; Yan Feng; Chun Chen 001; Can Wang 001 (CoRR, 2024)

FGP: Feature-Gradient-Prune for Efficient Convolutional Layer Pruning. - Qingsong Lv; Jiasheng Sun; Sheng Zhou 004; Xu Zhang; Liangcheng Li; Yun Gao; Sun Qiao; Jie Song 011; Jiajun Bu (CoRR, 2024)

Universal Inceptive GNNs by Eliminating the Smoothness-generalization Dilemma. - Ming Gu 014; Zhuonan Zheng; Sheng Zhou 004; Meihan Liu; Jiawei Chen 007; Tanyu Qiao; Liangcheng Li; Jiajun Bu (CoRR, 2024)

AdaDFKD: Exploring adaptive inter-sample relationship in data-free knowledge distillation. - Jingru Li; Sheng Zhou 004; Liangcheng Li; Haishuai Wang; Jiajun Bu; Zhi Yu (Neural Networks, 2024)

Structure enhanced prototypical alignment for unsupervised cross-domain node classification. - Meihan Liu; Zhen Zhang 023; Ning Ma; Ming Gu 014; Haishuai Wang; Sheng Zhou 004; Jiajun Bu (Neural Networks, 2024)

Online adversarial knowledge distillation for graph neural networks. - Can Wang 001; Zhe Wang 001; Defang Chen 001; Sheng Zhou 004; Yan Feng; Chun Chen 001 (Expert Syst. Appl., 2024)

ReCRec: Reasoning the Causes of Implicit Feedback for Debiased Recommendation. - Siyi Lin; Sheng Zhou 004; Jiawei Chen 007; Yan Feng; Qihao Shi; Chun Chen 001; Ying Li; Can Wang 001 (ACM Trans. Inf. Syst., 2024)

Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution. - Shengjia Zhang; Jiawei Chen 007; Changdong Li; Sheng Zhou 004; Qihao Shi; Yan Feng; Chun Chen 001; Can Wang 001 (AAAI, 2025)

TableNarrator: Making Image Tables Accessible to Blind and Low Vision People. - Ye Mo; Gang Huang; Liangcheng Li; Dazhen Deng; Zhi Yu; Yilun Xu; Kai Ye 006; Sheng Zhou 004; Jiajun Bu (CHI, 2025)

MP-GUI: Modality Perception with MLLMs for GUI Understanding. - Ziwei Wang; Weizhi Chen; Leyang Yang; Sheng Zhou 004; Shengchu Zhao; Hanbei Zhan; Jiongchao Jin; Liangcheng Li; Zirui Shao; Jiajun Bu (CVPR, 2025)

TestFlow: Advancing Mobile UI Testing through Multi-Step Reinforcement Learning. - Xiaoxuan Tang; Xinfang Chen; Dajun Chen; Sheng Zhou 004; Wei Jiang 011; Yong Li 004 (ISSTA Companion, 2025)

Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification. - Yuanchen Bei; Weizhi Chen; Hao Chen 062; Sheng Zhou 004; Carl Ji Yang; Jiapei Fan; Longtao Huang; Jiajun Bu (KDD (1), 2025)

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. - Siyi Lin; Chongming Gao; Jiawei Chen 007; Sheng Zhou 004; Binbin Hu; Yan Feng; Chun Chen 001; Can Wang 001 (WSDM, 2025)

Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. - Zhe Wang 001; Sheng Zhou 004; Jiawei Chen 007; Zhen Zhang 023; Binbin Hu; Yan Feng; Chun Chen 001; Can Wang 001 (WSDM, 2025)

Towards an Inclusive Mobile Web: A Dataset and Framework for Focusability in UI Accessibility. - Ming Gu 014; Lei Pei; Sheng Zhou 004; Ming Shen; Yuxuan Wu; Zirui Gao; Ziwei Wang; Shuo Shan; Wei Jiang 011; Yong Li 004; Jiajun Bu (WWW, 2025)

Rankformer: A Graph Transformer for Recommendation based on Ranking Objective. - Sirui Chen; Shen Han; Jiawei Chen 007; Binbin Hu; Sheng Zhou 004; Gang Wang 055; Yan Feng; Chun Chen 001; Can Wang 001 (WWW, 2025)

EcomMIR: Towards Intelligent Multimodal Intent Recognition in E-Commerce Dialogue Systems. - Tianhong Gao; Genhang Shen; Yuxuan Wu; Zunlei Feng; Jinshan Zhang 001; Sheng Zhou 004 (WWW (Companion Volume), 2025)

Uncertainty-Aware Graph Structure Learning. - Shen Han; Zhiyao Zhou; Jiawei Chen 007; Zhezheng Hao; Sheng Zhou 004; Gang Wang 055; Yan Feng; Chun Chen 001; Can Wang 001 (WWW, 2025)

Less is more: A closer look at semantic-based few-shot learning. - Chunpeng Zhou; Zhi Yu; Xilu Yuan; Sheng Zhou 004; Jiajun Bu; Haishuai Wang (Inf. Fusion, 2025)

Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection. - Ming Gu 014; Gaoming Yang; Zhuonan Zheng; Meihan Liu; Haishuai Wang; Jiawei Chen 007; Sheng Zhou 004; Jiajun Bu (Neural Networks, 2025)

Heterophilous distribution propagation for Graph Neural Networks. - Zhuonan Zheng; Sheng Zhou 004; Hongjia Xu; Ming Gu 014; Yilun Xu; Ao Li; Yuhong Li; Jingjun Gu; Jiajun Bu (Neural Networks, 2025)

Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey. - Hongjia Xu; Liangliang Zhang; Yao Ma 001; Sheng Zhou 004; Zhuonan Zheng; Jiajun Bu (ACM Trans. Knowl. Discov. Data, 2025)

Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap. - Weizhi Zhang 001; Yuanchen Bei; Liangwei Yang; Henry Peng Zou; Peilin Zhou; Aiwei Liu; Yinghui Li; Hao Chen 062; Jianling Wang; Yu Wang 158; Feiran Huang; Sheng Zhou 004; et al. (CoRR, 2025)

NOS. - Ming Gu 014; Sheng Zhou 004; Jiajun Bu (Zenodo, 2025)

NOS-raw. - Ming Gu 014; Sheng Zhou 004; Jiajun Bu (Zenodo, 2025)

A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions. - Sheng Zhou 004; Hongjia Xu; Zhuonan Zheng; Jiawei Chen 007; Zhao Li 007; Jiajun Bu; Jia Wu 001; Xin Wang 019; Wenwu Zhu 001; Martin Ester (ACM Comput. Surv., 2025)

FocusedAD: Character-centric Movie Audio Description. - Xiaojun Ye 002; Chun Wang; Yiren Song; Sheng Zhou 004; Liangcheng Li; Jiajun Bu (CoRR, 2025)

FedMTPP: Federated Multivariate Temporal Point Processes for Distributed Event Sequence Forecasting. - Houxin Gong; Haishuai Wang; Peng Zhang 001; Sheng Zhou 004; Hongyang Chen; Jiajun Bu (IEEE Trans. Mob. Comput., 2025)

Doc-CoB: Enhancing Multi-Modal Document Understanding with Visual Chain-of-Boxes Reasoning. - Ye Mo; Zirui Shao; Kai Ye 006; Xianwei Mao; Bo Zhang 069; Hangdi Xing; Peng Ye 006; Gang Huang; Kehan Chen; Zhou Huan; Zixu Yan; Sheng Zhou 004 (CoRR, 2025)

OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation. - Shengjia Zhang; Junjie Wu; Jiawei Chen 007; Changwang Zhang; Xingyu Lou; Wangchunshu Zhou; Sheng Zhou 004; Can Wang 001; Jun Wang 020 (CoRR, 2025)

OpenGT: A Comprehensive Benchmark For Graph Transformers. - Jiachen Tang; Zhonghao Wang 002; Sirui Chen; Sheng Zhou 004; Jiawei Chen 007; Jiajun Bu (CoRR, 2025)

Graphs Meet AI Agents: Taxonomy, Progress, and Future Opportunities. - Yuanchen Bei; Weizhi Zhang 001; Siwen Wang; Weizhi Chen; Sheng Zhou 004; Hao Chen 062; Yong Li 004; Jiajun Bu; Shirui Pan; Yizhou Yu; Irwin King; Fakhri Karray; et al. (CoRR, 2025)

Learning Only with Images: Visual Reinforcement Learning with Reasoning, Rendering, and Visual Feedback. - Yang Chen; Yufan Shen; Wenxuan Huang; Sheng Zhou 004; Qunshu Lin; Xinyu Cai; Zhi Yu; Jiajun Bu; Botian Shi; Yu Qiao 001 (CoRR, 2025)