Jing Ren

64 papers A* 8A 1Journal 42Unranked 13
YearRankTypeTitle / Venue / Authors
2026 — conf
Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought.
EACL (Findings)
Bowen Li, Ziqi Xu, Jing Ren, Renqiang Luo, Xikun Zhang, Xiuzhen Zhang, Yongli Ren, Feng Xia
2026 J jnl
Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought.
CoRR
Bowen Li, Ziqi Xu, Jing Ren, Renqiang Luo, Xikun Zhang, Xiuzhen Zhang, Yongli Ren, Feng Xia
2026 A* conf
FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks.
WWW
Renqiang Luo, Huafei Huang, Tao Tang, Jing Ren, Ziqi Xu, Mingliang Hou, Enyan Dai, Feng Xia
2026 J jnl
FairGE: Fairness-Aware Graph Encoding in Incomplete Social Networks.
CoRR
Renqiang Luo, Huafei Huang, Tao Tang, Jing Ren, Ziqi Xu, Mingliang Hou, Enyan Dai, Feng Xia
2026 A* conf
Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems.
WWW
Guixian Zhang, Guan Yuan, Ziqi Xu, Yanmei Zhang, Jing Ren, Zhenyun Deng, Debo Cheng
2026 A* conf
Spiking Graph Predictive Coding for Reliable OOD Generalization.
WWW
Jing Ren, Jiapeng Du, Bowen Li, Ziqi Xu, Xin Zheng, Hong Jia, Suyu Ma, Xiwei Xu, Feng Xia
2026 J jnl
Spiking Graph Predictive Coding for Reliable OOD Generalization.
CoRR
Jing Ren, Jiapeng Du, Bowen Li, Ziqi Xu, Xin Zheng, Hong Jia, Suyu Ma, Xiwei Xu, Feng Xia
2026 A* conf
When to Invoke: Refining LLM Fairness with Toxicity Assessment.
WWW
Jing Ren, Bowen Li, Ziqi Xu, Renqiang Luo, Shuo Yu, Xin Ye, Haytham Fayek, Xiaodong Li, Feng Xia
2026 J jnl
When to Invoke: Refining LLM Fairness with Toxicity Assessment.
CoRR
Jing Ren, Bowen Li, Ziqi Xu, Renqiang Luo, Shuo Yu, Xin Ye, Haytham Fayek, Xiaodong Li, Feng Xia
2026 A* conf
When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation.
WWW
Jing Ren, Bowen Li, Ziqi Xu, Xikun Zhang, Haytham Fayek, Xiaodong Li
2026 J jnl
When to Trust: A Causality-Aware Calibration Framework for Accurate Knowledge Graph Retrieval-Augmented Generation.
CoRR
Jing Ren, Bowen Li, Ziqi Xu, Xinkun Zhang, Haytham Fayek, Xiaodong Li
2025 J jnl
BrainMAP: Multimodal Graph Learning For Efficient Brain Disease Localization.
CoRR
Nguyen Linh Dan Le, Jing Ren, Ciyuan Peng, Chengyao Xie, Bowen Li, Feng Xia
2025 — conf
Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors.
ACL (1)
Senqi Yang, Dongyu Zhang, Jing Ren, Ziqi Xu, Xiuzhen Zhang, Yiliao Song, Hongfei Lin, Feng Xia
2025 J jnl
Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors.
CoRR
Senqi Yang, Dongyu Zhang, Jing Ren, Ziqi Xu, Xiuzhen Zhang, Yiliao Song, Hongfei Lin, Feng Xia
2025 J jnl
Data-Efficient Psychiatric Disorder Detection via Self-Supervised Learning on Frequency-Enhanced Brain Networks.
ACM Trans. Comput. Heal.
Mujie Liu, Mengchu Zhu, Qichao Dong, Ting Dang, Jiangang Ma, Jing Ren, Feng Xia
2025 J jnl
Data-Efficient Psychiatric Disorder Detection via Self-supervised Learning on Frequency-enhanced Brain Networks.
CoRR
Mujie Liu, Mengchu Zhu, Qichao Dong, Ting Dang, Jiangang Ma, Jing Ren, Feng Xia
2025 J jnl
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection.
CoRR
Jing Ren, Mingliang Hou, Zhixuan Liu, Xiaomei Bai
2025 A* conf
EchoGPT: An Interactive Cardiac Function Assessment Model for Echocardiogram Videos.
IJCAI
Bo Xu, Quanhao Zhu, Qingchen Zhang, Mengmeng Wang, Liang Zhao, Hongfei Lin, Jing Ren, Feng Xia
2025 — conf
EmoMeta: A Multimodal Dataset for Fine-grained Emotion Classification in Chinese Metaphors.
WWW (Companion Volume)
Xingyuan Lu, Yuxi Liu, Dongyu Zhang, Zhiyao Wu, Jing Ren, Feng Xia
2025 J jnl
EmoMeta: A Multimodal Dataset for Fine-grained Emotion Classification in Chinese Metaphors.
CoRR
Xingyuan Lu, Yuxi Liu, Dongyu Zhang, Zhiyao Wu, Jing Ren, Feng Xia
2025 J jnl
Explainable Graph Neural Networks: Understanding Brain Connectivity and Biomarkers in Dementia.
CoRR
Niharika Tewari, Nguyen Linh Dan Le, Mujie Liu, Jing Ren, Ziqi Xu, Tabinda Sarwar, Veeky Baths, Feng Xia
2025 J jnl
Foundation Models for Anomaly Detection: Vision and Challenges.
AI Mag.
Jing Ren, Tao Tang, Hong Jia, Ziqi Xu, Haytham Fayek, Xiaodong Li, Suyu Ma, Xiwei Xu, Feng Xia
2025 J jnl
Graph Learning.
CoRR
Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, Xiangjie Kong
2025 J jnl
Graph Learning.
Found. Trends Signal Process.
Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, Xiangjie Kong
2025 — conf
HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs.
WWW (Companion Volume)
Feng Ding, Tingting Wang, Yupeng Gao, Shuo Yu, Jing Ren, Feng Xia
2025 J jnl
HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs.
CoRR
Feng Ding, Tingting Wang, Yupeng Gao, Shuo Yu, Jing Ren, Feng Xia
2025 J jnl
Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems.
CoRR
Guixian Zhang, Guan Yuan, Ziqi Xu, Yanmei Zhang, Jing Ren, Zhenyun Deng, Debo Cheng
2025 A conf
LiteFat: Lightweight Spatio-Temporal Graph Learning for Real-Time Driver Fatigue Detection.
IROS
Jing Ren, Suyu Ma, Hong Jia, Xiwei Xu, Ivan Lee, Haytham Fayek, Xiaodong Li, Feng Xia
2025 J jnl
LiteFat: Lightweight Spatio-Temporal Graph Learning for Real-Time Driver Fatigue Detection.
CoRR
Jing Ren, Suyu Ma, Hong Jia, Xiwei Xu, Ivan Lee, Haytham Fayek, Xiaodong Li, Feng Xia
2025 — conf
Personalized Federated Graph Learning for Heterogeneous Incomplete EHRs.
AI (2)
Liping Chen, Guangqing Bai, Zhuoyang Han, Jing Ren, Mujie Liu, Tao Tang, Shuo Yu, Ivan Lee
2025 A* conf
SpeechHGT: A Multimodal Hypergraph Transformer for Speech-Based Early Alzheimer's Disease Detection.
IJCAI
Shagufta Abid, Dongyu Zhang, Ahsan Shehzad, Jing Ren, Shuo Yu, Hongfei Lin, Feng Xia
2024 J jnl
Multiple Instance Learning for Cheating Detection and Localization in Online Examinations.
CoRR
Yemeng Liu, Jing Ren, Jianshuo Xu, Xiaomei Bai, Roopdeep Kaur, Feng Xia
2024 J jnl
Multiple Instance Learning for Cheating Detection and Localization in Online Examinations.
IEEE Trans. Cogn. Dev. Syst.
Yemeng Liu, Jing Ren, Jianshuo Xu, Xiaomei Bai, Roopdeep Kaur, Feng Xia
2023 J jnl
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges.
ACM Trans. Intell. Syst. Technol.
Jing Ren, Feng Xia, Ivan Lee, Azadeh Noori Hoshyar, Charu C. Aggarwal
2023 J jnl
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks.
ACM Trans. Knowl. Discov. Data
Jiaying Liu, Feng Xia, Jing Ren, Bo Xu, Guansong Pang, Lianhua Chi
2022 J jnl
Deep Graph Learning for Anomalous Citation Detection.
CoRR
Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu
2022 J jnl
Deep Graph Learning for Anomalous Citation Detection.
IEEE Trans. Neural Networks Learn. Syst.
Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu
2022 J jnl
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges.
CoRR
Jing Ren, Feng Xia, Azadeh Noori Hoshyar, Charu C. Aggarwal
2022 J jnl
Graph Learning for Fake Review Detection.
Frontiers Artif. Intell.
Shuo Yu, Jing Ren, Shihao Li, Mehdi Naseriparsa, Feng Xia
2022 J jnl
Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks.
CoRR
Xiangtai Chen, Tao Tang, Jing Ren, Ivan Lee, Honglong Chen, Feng Xia
2022 — conf
The significance and impact of winning an academic award: a study of early career academics.
JCDL
Jing Ren, Yajie Shi, Adrian Shatte, Xiangjie Kong, Feng Xia
2022 J jnl
Web of Scholars: A Scholar Knowledge Graph.
CoRR
Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia
2021 J jnl
A Computational Complexity-Based Method for Predicting Scholars' Ages through Articles' Information.
Complex.
Jun Zhang, Xiaoyan Su, Mingliang Hou, Jing Ren
2021 — conf
Cross Network Representation Matching with Outliers.
ICDM (Workshops)
Mingliang Hou, Jing Ren, Falih Febrinanto, Ahsan Shehzad, Feng Xia
2021 — conf
Deep Video Anomaly Detection: Opportunities and Challenges.
ICDM (Workshops)
Jing Ren, Feng Xia, Yemeng Liu, Ivan Lee
2021 J jnl
Deep Video Anomaly Detection: Opportunities and Challenges.
CoRR
Jing Ren, Feng Xia, Yemeng Liu, Ivan Lee
2021 — conf
Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks.
WI/IAT (Workshop/Special Session)
Xiangtai Chen, Tao Tang, Jing Ren, Ivan Lee, Honglong Chen, Feng Xia
2021 J jnl
Matching Algorithms: Fundamentals, Applications and Challenges.
CoRR
Jing Ren, Feng Xia, Xiangtai Chen, Jiaying Liu, Mingliang Hou, Ahsan Shehzad, Nargiz Sultanova, Xiangjie Kong
2021 J jnl
Matching Algorithms: Fundamentals, Applications and Challenges.
IEEE Trans. Emerg. Top. Comput. Intell.
Jing Ren, Feng Xia, Xiangtai Chen, Jiaying Liu, Mingliang Hou, Ahsan Shehzad, Nargiz Sultanova, Xiangjie Kong
2021 J jnl
Tracing the Pace of COVID-19 Research: Topic Modeling and Evolution.
Big Data Res.
Jiaying Liu, Hansong Nie, Shihao Li, Xiangtai Chen, Huazhu Cao, Jing Ren, Ivan Lee, Feng Xia
2021 J jnl
Turing Number: How Far Are You to A. M. Turing Award?
CoRR
Feng Xia, Jiaying Liu, Jing Ren, Wei Wang, Xiangjie Kong
2021 J jnl
Venue Topic Model-enhanced Joint Graph Modelling for Citation Recommendation in Scholarly Big Data.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Wei Wang, Zhiguo Gong, Jing Ren, Feng Xia, Zhihan Lv, Wei Wei
2020 J jnl
Early-stage reciprocity in sustainable scientific collaboration.
J. Informetrics
Wei Wang, Jing Ren, Mubarak Alrashoud, Feng Xia, Mengyi Mao, Amr Tolba
2020 J jnl
MODEL: Motif-Based Deep Feature Learning for Link Prediction.
IEEE Trans. Comput. Soc. Syst.
Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, Feng Xia
2020 J jnl
MODEL: Motif-based Deep Feature Learning for Link Prediction.
CoRR
Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, Feng Xia
2020 — conf
Multivariate Relations Aggregation Learning in Social Networks.
JCDL
Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia
2020 J jnl
Multivariate Relations Aggregation Learning in Social Networks.
CoRR
Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia
2020 J jnl
Network embedding: Taxonomies, frameworks and applications.
Comput. Sci. Rev.
Mingliang Hou, Jing Ren, Da Zhang, Xiangjie Kong, Dongyu Zhang, Feng Xia
2020 — conf
On the Correlation Between Research Complexity and Academic Competitiveness.
ICADL
Jing Ren, Ivan Lee, Lei Wang, Xiangtai Chen, Feng Xia
2020 J jnl
Turing number: how far are you to A. M. Turing award?
SIGWEB Newsl.
Feng Xia, Jiaying Liu, Jing Ren, Wei Wang, Xiangjie Kong
2020 A* conf
Web of Scholars: A Scholar Knowledge Graph.
SIGIR
Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia
2019 J jnl
API: An Index for Quantifying a Scholar's Academic Potential.
IEEE Access
Jing Ren, Lei Wang, Kailai Wang, Shuo Yu, Mingliang Hou, Ivan Lee, Xiangjie Kong, Feng Xia
2019 — conf
Many-to-Many Collaborator Recommendation Based on Matching Markets Theory.
DASC/PiCom/DataCom/CyberSciTech
Xiangjie Kong, Linyan Wen, Jing Ren, Mingliang Hou, Minghao Zhang, Kang Liu, Feng Xia
2019 — conf
Mining Key Scholars via Collapsed Core and Truss.
DASC/PiCom/DataCom/CyberSciTech
Shuo Yu, Yuanhu Liu, Jing Ren, Hayat Dino Bedru, Teshome Megersa Bekele, Liangtian Wan, Feng Xia