1 citations · 2 across the 6 of their papers we have counts for
8 papers
Subtree Mode and Applications
Jialong Zhou, Ben Bals, Matei Tinca +4
The mode of a collection of values (i.e., the most frequent value in the collection) is a key summary statistic. Finding the mode in a given range of an array of values is thus of…
Synergistic Enhancement of Requirement-to-Code Traceability: A Framework Combining Large Language Model based Data Augmentation and an Advanced Encoder
Jianzhang Zhang, Jialong Zhou, Nan Niu +2
Automated requirement-to-code traceability link recovery, essential for industrial system quality and safety, is critically hindered by the scarcity of labeled data. To address thi…
OR-Toolformer: Modeling and Solving Operations Research Problems with Tool Augmented Large Language Models
Jianzhang Zhang, Jialong Zhou, Chuang Liu
Large language models (LLMs) demonstrate strong mathematical reasoning, but reliance on closed-source APIs for OR tasks raises privacy concerns, and training open-source models fro…
GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph Modeling
Jialong Zhou, Lichao Wang, Xiao Yang
The emergence of large language models (LLMs) enables the development of intelligent agents capable of engaging in complex and multi-turn dialogues. However, multi-agent collaborat…
Adversarial Robustness of Link Sign Prediction in Signed Graphs
Jialong Zhou, Xing Ai, Yuni Lai +7
Signed graphs serve as fundamental data structures for representing positive and negative relationships in social networks, with signed graph neural networks (SGNNs) emerging as th…
Black-Box Attacks against Signed Graph Analysis via Balance Poisoning
Jialong Zhou, Yuni Lai, Jian Ren +1
Signed graphs are well-suited for modeling social networks as they capture both positive and negative relationships. Signed graph neural networks (SGNNs) are commonly employed to p…
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach
Xing Ai, Jialong Zhou, Yulin Zhu +4
Graph anomaly detection (GAD) has achieved success and has been widely applied in various domains, such as fraud detection, cybersecurity, finance security, and biochemistry. Howev…
Mining User Privacy Concern Topics from App Reviews
Jianzhang Zhang, Jinping Hua, Yiyang Chen +2
Context: As mobile applications (Apps) widely spread over our society and life, various personal information is constantly demanded by Apps in exchange for more intelligent and cus…