Google Scholar Profile: https://scholar.google.com/citations?user=fUjL_jYAAAAJ
Preprints
Jing Ren, Feng Xia. Brain-inspired Artificial Intelligence: A Comprehensive Review. arXiv:2408.14811
Jing Ren, Wenhao Zhou, Bowen Li, Mujie Liu, Nguyen Linh Dan Le, Jiade Cen, Liping Chen, Ziqi Xu, Xiwei Xu, Xiaodong Li. Causal Prompting for Implicit Sentiment Analysis with Large Language Models. arXiv: 2507.00389
Conference
Jing Ren, Suyu Ma, Hong Jia, Xiwe Xu, Ivan Lee, Haytham Fayek, Xiaodong Li, and Feng Xia. LiteFat: Lightweight Spatio-Temporal Graph Learning for Real-Time Driver Fatigue Detection, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hangzhou, China, October 19-25, 2025 (Student Travel Grant) [PDF]
Senqi Yang, Dongyu Zhang, Jing Ren, Ziqi Xu, Xiuzhen Zhang, Yiliao Song, Hongfei Lin and Feng Xia. Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors, The 63rd Annual Meeting of the Association for Computational Linguistics, July 27-August 1, 2025 [PDF]
Shagufta Abid, Dongyu Zhang, Ahsan Shehzad, Jing Ren, Shuo Yu, Hongfei Lin and Feng Xia. SpeechHGT: A Multimodal Hypergraph Transformer for Speech-Based Early Alzheimer’s Disease Detection, International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, August 16-22, 2025
Bo Xu, Quanhao Zhu, Qingchen Zhang, Mengmeng Wang, Liang Zhao, Hongfei Lin, Jing Ren and Feng Xia. EchoGPT: An Interactive Cardiac Function Assessment Model for Echocardiogram Videos, International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Canada, August 16-22, 2025
Feng Ding, Tingting Wang, Yupeng Gao, Shuo Yu, Jing Ren*, and Feng Xia. HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs, The Web Conference (WWW), Emerging World Track, Sydney, Australia, April 28 – May 2, 2025 [PDF]
Xingyuan Lu, Yuxi Liu, Dongyu Zhang, Zhiyao Wu, Jing Ren*, and Feng Xia. EmoMeta: A Multimodal Dataset for Fine-grained Emotion Classification in Chinese Metaphors, The Web Conference (WWW), Emerging World Track, Syndney, Australia, April 28 – May 2, 2025 [PDF]
Tianqi Guo, Liping Chen, Ciyuan Peng, Jingjing Zhou, Jing Ren*. NeuroPathNet: Dynamic Path Trajectory Learning for Brain Functional Connectivity Analysis., International Conference on Machine Intelligence and Nature‑Inspired Computing (MIND), Xiamen, China, October 31 – November 2, 2025
Nguyen Linh Dan Le, Jing Ren, Ciyuan Peng, Chengyao Xie, Bowen Li, and Feng Xia. BrainMAP: Multimodal Graph Learning for Efficient Brain Disease Localization, IEEE EMBS Conference on Neural Engineering (NER), San Diego, USA, November 11-14, 2025 [PDF]
Liping Chen, Guangqing Bai, Zhuoyang Han, Jing Ren, Tao Tang, Shuo Yu, and Ivan Lee. Personalized Federated Graph Learning for Heterogeneous Incomplete EHRs. Australasian Joint Conference on Artificial Intelligence (AJCAI), Canberra, Australia, 1-5 Dec 2025.
Jing Ren, Yajie Shi, Adrian Shatte, Xiangjie Kong, Feng Xia. The significance and impact of winning an academic award: a study of early career academics, Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries, June 20-24, 2022, Cologne, Germany (Student Travel Grant) [PDF]
Jing Ren, Feng Xia, Yemeng Liu, Ivan Lee. Deep Video Anomaly Detection: Opportunities and Challenges, International Conference on Data Mining (ICDM) Workshops, December 7-10, 2021, Auckland, New Zealand [PDF]
Xiangtai Chen, Tao Tang, Jing Ren, Ivan Lee, Honglong Chen, Feng Xia. Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks, The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), December 14-17, 2021, Melbourne, Australia [PDF]
Mingliang Hou, Jing Ren, Falih Febrinanto, Ahsan Shehzad, Feng Xia. Cross Network Representation Matching with Outliers, International Conference on Data Mining (ICDM) Workshops, December 7-10, 2021, Auckland, New Zealand [PDF]
Jing Ren, Ivan Lee, Lei Wang, Xiangtai Chen and Feng Xia. On the Correlation between Research Complexity and Academic Competitiveness, The 22nd International Conference on Asia-Pacific Digital Libraries (ICADL), Online, November 30 - December 1, 2020 [PDF]
Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan and Feng Xia. Multivariate Relations Aggregation Learning in Social Networks, ACM/IEEE Joint Conference on Digital Libraries (JCDL), Wuhan, Hubei, China, August 1-5, 2020 (The Vannevar Bush Best Paper Honorable Mention) [PDF]
Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee and Feng Xia. Web of Scholars: A Scholar Knowledge Graph, The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Xi an, Shanxi, China, July 25-30, 2020 [PDF]
Xiangjie Kong, Linyan Wen, Jing Ren, Mingliang Hou, Minghao Zhang, Kang Liu and Feng Xia. Many-to-Many Collaborator Recommendation Based on Matching Markets Theory, The 4th IEEE Cyber Science and Technology Congress (CyberSciTech), Fukuoka, Japan, August 5-8, 2019 [PDF]
Shuo Yu, Yuanhu Liu, Jing Ren, Hayat Dino Bedru, Teshome Megersa Bekele, Liangtian Wan and Feng Xia. Mining Key Scholars via Collapsed Core and Truss, The 4th IEEE Cyber Science and Technology Congress (CyberSciTech), Fukuoka, Japan, August 5-8, 2019 [PDF]
Journal
Jing Ren, Tao Tang, Hong Jia, Ziqi Xu, Haytham Fayek, Xiaodong Li, Suyu Ma, Xiwei Xu, Feng Xia. Foundation Models for Anomaly Detection: Vision and Challenges, AI Magazine, 2025. DOI: 10.1002/aaai.70045. [PDF]
Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, and Xiangjie Kong. Graph Learning, Foundations and Trends in Signal Processing: Vol. 19: No. 4, pp 371-551, 2025. DOI: 10.1561/2000000137. [PDF]
Mujie Liu, Mengchu Zhu, Qichao Dong, Ting Dang, Jiangang Ma, Jing Ren, and Feng Xia. Data-Efficient Psychiatric Disorder Detection via Self-supervised Learning on Frequency-Enhanced Brain Networks, ACM Transactions on Computing for Healthcare, Volume 6, Issue 4, Article No.: 55, Pages 1 - 23, 2025. DOI: 10.1145/3766907
Yemeng Liu, Jing Ren, Jianshuo Xu, Xiaomei Bai, Roopdeep Kaur, Feng Xia. Multiple Instance Learning for Cheating Detection and Localization in Online Examinations, IEEE Transactions on Cognitive and Developmental Systems, Vol.16, no. 4, pp. 1315-1326, Aug. 2024. DOI: 10.1109/TCDS.2024.3349705 [PDF]
Jing Ren, Feng Xia, Ivan Lee, Azadeh Noori Hoshyar, Charu Aggarwal. Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges, ACM Transactions on Intelligent Systems and Technology, Volume 14, Issue 2, Pages 1-29, April 2023. DOI: 10.1145/3570906 [PDF]
Jiaying Liu, Feng Xia, Jing Ren, Bo Xu, Guansong Pang, Lianhua Chi. MIRROR: Mining Implicit Relationships with Structure-Enhanced Graph Convolutional Networks, ACM Transactions on Knowledge Discovery from Data, 2023. DOI: 10.1145/3564531. [PDF]
Jing Ren, Zhixuan Liu, Mingliang Hou, Xiaomei Bai. EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection, IEEE Intelligent Systems, 2023. DOI: 10.1109/MIS.2022.3229147 [PDF]
Shuo Yu, Jing Ren, Shihao Li, Mehdi Naseriparsa, Feng Xia. Graph Learning for Fake Review Detection, Frontiers in Artificial Intelligence, Vol. 5, 2022. DOI: 10.3389/frai.2022.922589
Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu. Deep Graph Learning for Anomalous Citation Detection, IEEE Transactions on Neural Networks and Learning Systems, 2022. DOI: 10.1109/TNNLS.2022.3145092 [PDF]
Jing Ren, Feng Xia, Xiangtai Chen, Jiaying Liu, Mingliang Hou, Ahsan Shehzad, Nargiz Sultanova, and Xiangjie Kong. Matching Algorithms: Fundamentals, Applications and Challenges, IEEE Transactions on Emerging Topics in Computational Intelligence, 2021, DOI: 10.1109/TETCI.2021.3067655. [PDF]
Jiaying Liu, Hansong Nie, Shihao Li, Xiangtai Chen, Huazhu Cao, Jing Ren, Ivan Lee, and Feng Xia. Tracing the Pace of COVID-19 Research: Topic Modeling and Evolution, Big Data Research, Volume 25, July 2021. [PDF]
Feng Xia, Jiaying Liu, Jing Ren, Wei Wang, and Xiangjie Kong. Turing Number: How Far Are You to A. M. Turing Award? ACM SIGWEB Newsletter, 2020, DOI: 10.1145/3427478.3427483. [PDF]
Wei Wang, Jing Ren, Mubarak Alrashoud, Feng Xia, Mengyi Mao, Amr Tolba. Early-Stage Reciprocity in Sustainable Scientific Collaboration, Journal of Informetrics, Volume 14, Issue 3, August 2020. DOI: 10.1016/j.joi.2020.101041 [PDF]
Wei Wang, Zhiguo Gong, Jing Ren, Feng Xia, Zhihan Lv, Wei Wei. Venue Topic Model enhanced Joint Graph Modelling for Citation Recommendation in Scholarly Big Data, ACM Transactions on Asian and Low-Resource Language Information Processing, volume 20, pages 1-15, 2020 [PDF]
Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, and Feng Xia. MODEL: Motif-based Deep Feature Learning for Link Prediction, IEEE Transactions on Computational Social Systems, 7(2): 503-516, 2020. [PDF]
Mingliang Hou, Jing Ren, Da Zhang, Xiangjie Kong, Dongyu Zhang and Feng Xia. Network Embedding: Taxonomies, Frameworks and Applications, Computer Science Review, 38: 100296, August 2020. DOI: 10.1016/j.cosrev.2020.100296 [PDF]
Jing Ren, Lei Wang, Kailai Wang, Shuo Yu, Mingliang Hou, Ivan Lee, Xiangjie Kong and Feng Xia. API: An Index for Quantifying a Scholar's Academic Potential, IEEE Access, Volume 7, December 2019, Pages 178675-178684. DOI: 10.1109/ACCESS.2019.2958649 [PDF]