Many-to-Many Collaborator Recommendation Based on Matching Markets Theory. - Xiangjie Kong 001; Linyan Wen; Jing Ren 001; Mingliang Hou; Minghao Zhang; Kang Liu; Feng Xia 001 (DASC/PiCom/DataCom/CyberSciTech, 2019)

Mining Key Scholars via Collapsed Core and Truss. - Shuo Yu 001; Yuanhu Liu; Jing Ren 001; Hayat Dino Bedru; Teshome Megersa Bekele; Liangtian Wan; Feng Xia 001 (DASC/PiCom/DataCom/CyberSciTech, 2019)

API: An Index for Quantifying a Scholar's Academic Potential. - Jing Ren 001; Lei Wang 134; Kailai Wang; Shuo Yu 001; Mingliang Hou; Ivan Lee 001; Xiangjie Kong 001; Feng Xia 001 (IEEE Access, 2019)

On the Correlation Between Research Complexity and Academic Competitiveness. - Jing Ren 001; Ivan Lee 001; Lei Wang 134; Xiangtai Chen; Feng Xia 001 (ICADL, 2020)

Multivariate Relations Aggregation Learning in Social Networks. - Jin Xu; Shuo Yu 001; Ke Sun 011; Jing Ren 001; Ivan Lee 001; Shirui Pan; Feng Xia 001 (JCDL, 2020)

Web of Scholars: A Scholar Knowledge Graph. - Jiaying Liu 006; Jing Ren 001; Wenqing Zheng; Lianhua Chi; Ivan Lee 001; Feng Xia 001 (SIGIR, 2020)

Network embedding: Taxonomies, frameworks and applications. - Mingliang Hou; Jing Ren 001; Da Zhang 002; Xiangjie Kong 001; Dongyu Zhang 001; Feng Xia 001 (Comput. Sci. Rev., 2020)

Early-stage reciprocity in sustainable scientific collaboration. - Wei Wang 077; Jing Ren 001; Mubarak Alrashoud; Feng Xia 001; Mengyi Mao; Amr Tolba (J. Informetrics, 2020)

Turing number: how far are you to A. M. Turing award? - Feng Xia 001; Jiaying Liu 006; Jing Ren 001; Wei Wang 077; Xiangjie Kong 001 (SIGWEB Newsl., 2020)

MODEL: Motif-Based Deep Feature Learning for Link Prediction. - Lei Wang 134; Jing Ren 001; Bo Xu 008; Jianxin Li 001; Wei Luo 001; Feng Xia 001 (IEEE Trans. Comput. Soc. Syst., 2020)

Cross Network Representation Matching with Outliers. - Mingliang Hou; Jing Ren 001; Falih Febrinanto; Ahsan Shehzad; Feng Xia 001 (ICDM (Workshops), 2021)

Deep Video Anomaly Detection: Opportunities and Challenges. - Jing Ren 001; Feng Xia 001; Yemeng Liu; Ivan Lee 001 (ICDM (Workshops), 2021)

Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks. - Xiangtai Chen; Tao Tang 007; Jing Ren 001; Ivan Lee 001; Honglong Chen; Feng Xia 001 (WI/IAT (Workshop/Special Session), 2021)

Tracing the Pace of COVID-19 Research: Topic Modeling and Evolution. - Jiaying Liu 006; Hansong Nie; Shihao Li; Xiangtai Chen; Huazhu Cao; Jing Ren 001; Ivan Lee 001; Feng Xia 001 (Big Data Res., 2021)

A Computational Complexity-Based Method for Predicting Scholars' Ages through Articles' Information. - Jun Zhang 083; Xiaoyan Su; Mingliang Hou; Jing Ren 001 (Complex., 2021)

Venue Topic Model-enhanced Joint Graph Modelling for Citation Recommendation in Scholarly Big Data. - Wei Wang 077; Zhiguo Gong; Jing Ren 001; Feng Xia 001; Zhihan Lv; Wei Wei 006 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021)

Matching Algorithms: Fundamentals, Applications and Challenges. - Jing Ren 001; Feng Xia 001; Xiangtai Chen; Jiaying Liu 006; Mingliang Hou; Ahsan Shehzad; Nargiz Sultanova; Xiangjie Kong 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

The significance and impact of winning an academic award: a study of early career academics. - Jing Ren 001; Yajie Shi; Adrian Shatte; Xiangjie Kong 001; Feng Xia 001 (JCDL, 2022)

Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges. - Jing Ren 001; Feng Xia 001; Azadeh Noori Hoshyar; Charu C. Aggarwal (CoRR, 2022)

Graph Learning for Fake Review Detection. - Shuo Yu 001; Jing Ren 001; Shihao Li; Mehdi Naseriparsa; Feng Xia 001 (Frontiers Artif. Intell., 2022)

Deep Graph Learning for Anomalous Citation Detection. - Jiaying Liu 006; Feng Xia 001; Xu Feng; Jing Ren 001; Huan Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges. - Jing Ren 001; Feng Xia 001; Ivan Lee 001; Azadeh Noori Hoshyar; Charu C. Aggarwal (ACM Trans. Intell. Syst. Technol., 2023)

MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks. - Jiaying Liu 006; Feng Xia 001; Jing Ren 001; Bo Xu 008; Guansong Pang; Lianhua Chi (ACM Trans. Knowl. Discov. Data, 2023)

Multiple Instance Learning for Cheating Detection and Localization in Online Examinations. - Yemeng Liu; Jing Ren 001; Jianshuo Xu; Xiaomei Bai; Roopdeep Kaur; Feng Xia 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors. - Senqi Yang; Dongyu Zhang 001; Jing Ren 001; Ziqi Xu 001; Xiuzhen Zhang 001; Yiliao Song; Hongfei Lin; Feng Xia 001 (ACL (1), 2025)

SpeechHGT: A Multimodal Hypergraph Transformer for Speech-Based Early Alzheimer's Disease Detection. - Shagufta Abid; Dongyu Zhang 001; Ahsan Shehzad; Jing Ren 001; Shuo Yu 001; Hongfei Lin; Feng Xia 001 (IJCAI, 2025)

HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs. - Feng Ding 004; Tingting Wang; Yupeng Gao; Shuo Yu 001; Jing Ren 001; Feng Xia 001 (WWW (Companion Volume), 2025)

EmoMeta: A Multimodal Dataset for Fine-grained Emotion Classification in Chinese Metaphors. - Xingyuan Lu; Yuxi Liu; Dongyu Zhang 001; Zhiyao Wu; Jing Ren 001; Feng Xia 001 (WWW (Companion Volume), 2025)

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection. - Jing Ren 001; Mingliang Hou; Zhixuan Liu; Xiaomei Bai (CoRR, 2025)

BrainMAP: Multimodal Graph Learning For Efficient Brain Disease Localization. - Nguyen Linh Dan Le; Jing Ren 001; Ciyuan Peng; Chengyao Xie; Bowen Li 012; Feng Xia 001 (CoRR, 2025)

Graph Learning. - Feng Xia 001; Ciyuan Peng; Jing Ren 001; Falih Gozi Febrinanto; Renqiang Luo; Vidya Saikrishna; Shuo Yu 001; Xiangjie Kong 001 (CoRR, 2025)

Data-Efficient Psychiatric Disorder Detection via Self-supervised Learning on Frequency-enhanced Brain Networks. - Mujie Liu; Mengchu Zhu; Qichao Dong; Ting Dang; Jiangang Ma; Jing Ren 001; Feng Xia 001 (CoRR, 2025)

Explainable Graph Neural Networks: Understanding Brain Connectivity and Biomarkers in Dementia. - Niharika Tewari; Nguyen Linh Dan Le; Mujie Liu; Jing Ren 001; Ziqi Xu 001; Tabinda Sarwar; Veeky Baths; Feng Xia 001 (CoRR, 2025)