activity
20202025
most citedMODEL: Motif-based Deep Feature Learning for Link Prediction

65 citations · 169 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CL2025★ 5 cited

EmoMeta: A Multimodal Dataset for Fine-grained Emotion Classification in Chinese Metaphors

Xingyuan Lu, Yuxi Liu, Dongyu Zhang +3

Metaphors play a pivotal role in expressing emotions, making them crucial for emotional intelligence. The advent of multimodal data and widespread communication has led to a prolif…

cs.AI2025

HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs

Feng Ding, Tingting Wang, Yupeng Gao +3

Outdated facts in temporal knowledge graphs (TKGs) result from exceeding the expiration date of facts, which negatively impact reasoning performance on TKGs. However, existing reas…

cs.LG2025★ 3 cited

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection

Jing Ren, Mingliang Hou, Zhixuan Liu +1

Graph anomaly detection is a popular and vital task in various real-world scenarios, which has been studied for several decades. Recently, many studies extending deep learning-base…

cs.CV2024★ 27 cited

Multiple Instance Learning for Cheating Detection and Localization in Online Examinations

Yemeng Liu, Jing Ren, Jianshuo Xu +3

The spread of the Coronavirus disease-2019 epidemic has caused many courses and exams to be conducted online. The cheating behavior detection model in examination invigilation syst…

cs.LG2022

Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges

Jing Ren, Feng Xia, Azadeh Noori Hoshyar +1

Anomaly analytics is a popular and vital task in various research contexts, which has been studied for several decades. At the same time, deep learning has shown its capacity in so…

cs.LG2022★ 1 cited

Deep Graph Learning for Anomalous Citation Detection

Jiaying Liu, Feng Xia, Xu Feng +2

Anomaly detection is one of the most active research areas in various critical domains, such as healthcare, fintech, and public security. However, little attention has been paid to…

cs.DL2022★ 3 cited

Web of Scholars: A Scholar Knowledge Graph

Jiaying Liu, Jing Ren, Wenqing Zheng +3

In this work, we demonstrate a novel system, namely Web of Scholars, which integrates state-of-the-art mining techniques to search, mine, and visualize complex networks behind scho…

cs.SI2022

Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks

Xiangtai Chen, Tao Tang, Jing Ren +3

With the explosive growth of new graduates with research degrees every year, unprecedented challenges arise for early-career researchers to find a job at a suitable institution. Th…

cs.CV2021★ 16 cited

Deep Video Anomaly Detection: Opportunities and Challenges

Jing Ren, Feng Xia, Yemeng Liu +1

Anomaly detection is a popular and vital task in various research contexts, which has been studied for several decades. To ensure the safety of people's lives and assets, video sur…

cs.SI2021★ 8 cited

Turing Number: How Far Are You to A. M. Turing Award?

Feng Xia, Jiaying Liu, Jing Ren +2

The ACM A.M. Turing Award is commonly acknowledged as the highest distinction in the realm of computer science. Since 1960s, it has been awarded to computer scientists who made out…

cs.SI2021★ 8 cited

Matching Algorithms: Fundamentals, Applications and Challenges

Jing Ren, Feng Xia, Xiangtai Chen +5

Matching plays a vital role in the rational allocation of resources in many areas, ranging from market operation to people's daily lives. In economics, the term matching theory is…

cs.SI2020★ 33 cited

Multivariate Relations Aggregation Learning in Social Networks

Jin Xu, Shuo Yu, Ke Sun +4

Multivariate relations are general in various types of networks, such as biological networks, social networks, transportation networks, and academic networks. Due to the principle…

cs.SI2020★ 65 cited

MODEL: Motif-based Deep Feature Learning for Link Prediction

Lei Wang, Jing Ren, Bo Xu +3

Link prediction plays an important role in network analysis and applications. Recently, approaches for link prediction have evolved from traditional similarity-based algorithms int…