Dongxia Wang

According to our database, Dongxia Wang authored at least 45 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Prompting Frameworks for Large Language Models: A Survey.

Xiaoxia Liu, Jingyi Wang, Xiaohan Yuan, Jun Sun, Guoliang Dong, Peng Di, Wenhai Wang, Dongxia Wang

ACM Comput. Surv., July, 2026

Agents4PLC: Automating Closed-Loop PLC Code Generation and Verification in Industrial Control Systems Using LLM-Based Agents.

Zihan Liu, Ruinan Zeng, Dongxia Wang, Gengyun Peng, Xiaoxia Liu, Qiang Liu, Peiyu Liu, Wenhai Wang, Jingyi Wang

IEEE Trans. Software Eng., May, 2026

FlowHijack: A Dynamics-Aware Backdoor Attack on Flow-Matching Vision-Language-Action Models.

Xinyuan An, Tao Luo, Gengyun Peng, Yaobing Wang, Kui Ren, Dongxia Wang

CoRR, April, 2026

Decentralized Next Point-of-Interest Recommendation Guided by Willingness to Share.

Ziqing Wu, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang, Yew-Soon Ong

ACM Trans. Inf. Syst., January, 2026

LLM-VA: Resolving the Jailbreak-Overrefusal Trade-off via Vector Alignment.

Haonan Zhang, Dongxia Wang, Yi Liu, Kexin Chen, Wenhai Wang

CoRR, January, 2026

Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking.

Huizhong Guo, Tianjun Wei, Dongxia Wang, Yingpeng Du, Ziyan Wang, Jie Zhang, Zhu Sun

CoRR, January, 2026

FOOLSDEDIT: Deceptively Steering Your Edits Towards Targeted Attribute-Aware Distribution.

Qi Zhou, Dongxia Wang, Tianlin Li, Zhihong Xu, Yang Liu, Kui Ren, Wenhai Wang, Qing Guo

IEEE Trans. Dependable Secur. Comput., 2026

MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation.

Ziqing Wu, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang, Yew Soon Ong

Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

2025

Androfim: few-shot android malware family detection based on image representation.

Fan Zhou, Dongxia Wang, Yanhai Xiong, Kun Sun, Wenhai Wang

Cybersecur., December, 2025

RP-CATE: Recurrent Perceptron-based Channel Attention Transformer Encoder for Industrial Hybrid Modeling.

Haoran Yang, Yinan Zhang, Wenjie Zhang, Dongxia Wang, Peiyu Liu, Yuqi Ye, Kexin Chen, Wenhai Wang

CoRR, December, 2025

When Harmful Content Gets Camouflaged: Unveiling Perception Failure of LVLMs with CamHarmTI.

Yanhui Li, Qi Zhou, Zhihong Xu, Huizhong Guo, Wenhai Wang, Dongxia Wang

CoRR, December, 2025

MAS²: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems.

Kun Wang, Guibin Zhang, ManKit Ye, Xinyu Deng, Dongxia Wang, Xiaobin Hu, Jinyang Guo, Yang Liu, Yufei Guo

CoRR, September, 2025

Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation.

Tianjun Wei, Huizhong Guo, Yingpeng Du, Zhu Sun, Chen Huang, Dongxia Wang, Jie Zhang

CoRR, August, 2025

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation.

Zhanhang Xiong, Dongxia Wang, Yuekang Li, Xinyuan An, Wenhai Wang

CoRR, July, 2025

KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems?

Haonan Zhang, Dongxia Wang, Zhu Sun, Yanhui Li, Youcheng Sun, Huizhi Liang, Wenhai Wang

ACM Trans. Inf. Syst., May, 2025

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity.

Qi Zhou, Jie Zhang, Dongxia Wang, Qiang Liu, Tianlin Li, Jin Song Dong, Wenhai Wang, Qing Guo

CoRR, May, 2025

S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models.

Xiaohan Yuan, Jinfeng Li, Dongxia Wang, Yuefeng Chen, Xiaofeng Mao, Longtao Huang, Jialuo Chen, Hui Xue, Xiaoxia Liu, Wenhai Wang, Kui Ren, Jingyi Wang

Proc. ACM Softw. Eng., 2025

Enhancing New-item Fairness in Dynamic Recommender Systems.

Huizhong Guo, Zhu Sun, Dongxia Wang, Tianjun Wei, Jinfeng Li, Jie Zhang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture.

Yanhui Li, Dongxia Wang, Zhu Sun, Haonan Zhang, Huizhong Guo

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

ORFuzz: Fuzzing the "Other Side" of LLM Safety - Testing Over-Refusal.

Haonan Zhang, Dongxia Wang, Yi Liu, Kexin Chen, Jiashui Wang, Xinlei Ying, Long Liu, Wenhai Wang

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision.

Qi Zhou, Dongxia Wang, Tianlin Li, Yun Lin, Yang Liu, Jin Song Dong, Qing Guo

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Sticking to the Mean: Detecting Sticky Tokens in Text Embedding Models.

Kexin Chen, Dongxia Wang, Yi Liu, Haonan Zhang, Wenhai Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Provably Secure Decisions Based on Potentially Malicious Information.

Dongxia Wang, Tim Muller, Jun Sun

IEEE Trans. Dependable Secur. Comput., 2024

Agents4PLC: Automating Closed-loop PLC Code Generation and Verification in Industrial Control Systems using LLM-based Agents.

Zihan Liu, Ruinan Zeng, Dongxia Wang, Gengyun Peng, Jingyi Wang, Qiang Liu, Peiyu Liu, Wenhai Wang

CoRR, 2024

Characterizing and Evaluating the Reliability of LLMs against Jailbreak Attacks.

Kexin Chen, Yi Liu, Dongxia Wang, Jiaying Chen, Wenhai Wang

CoRR, 2024

S-Eval: Automatic and Adaptive Test Generation for Benchmarking Safety Evaluation of Large Language Models.

Xiaohan Yuan, Jinfeng Li, Dongxia Wang, Yuefeng Chen, Xiaofeng Mao, Longtao Huang, Hui Xue, Wenhai Wang, Kui Ren, Jingyi Wang

CoRR, 2024

Does Knowledge Graph Really Matter for Recommender Systems?

Haonan Zhang, Dongxia Wang, Zhu Sun, Yanhui Li, Youcheng Sun, Huizhi Liang, Wenhai Wang

CoRR, 2024

FAMCF: A few-shot Android malware family classification framework.

Fan Zhou, Dongxia Wang, Yanhai Xiong, Kun Sun, Wenhai Wang

Comput. Secur., 2024

Configurable Fairness for New Item Recommendation Considering Entry Time of Items.

Huizhong Guo, Dongxia Wang, Zhu Sun, Haonan Zhang, Jinfeng Li, Jie Zhang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Understanding Code Changes Practically with Small-Scale Language Models.

Cong Li, Zhaogui Xu, Peng Di, Dongxia Wang, Zheng Li, Qian Zheng

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Stability of Weighted Majority Voting under Estimated Weights.

Shaojie Bai, Dongxia Wang, Tim Muller, Peng Cheng, Jiming Chen

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

FairRec: Fairness Testing for Deep Recommender Systems.

Huizhong Guo, Jinfeng Li, Jingyi Wang, Xiangyu Liu, Dongxia Wang, Zehong Hu, Rong Zhang, Hui Xue

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2021

An Interactive System for Unfair Rating Detection Models in a Customized Perspective.

Ke Lv, Yuan Liu, Jienan Chen, Dongxia Wang, Zhihong Tian

Proceedings of the 20th IEEE International Conference on Trust, 2021

RobOT: Robustness-Oriented Testing for Deep Learning Systems.

Jingyi Wang, Jialuo Chen, Youcheng Sun, Xingjun Ma, Dongxia Wang, Jun Sun, Peng Cheng

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

Information Theoretical Analysis of Unfair Rating Attacks Under Subjectivity.

Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu

IEEE Trans. Inf. Forensics Secur., 2020

Provably Robust Decisions based on Potentially Malicious Sources of Information.

Tim Muller, Dongxia Wang, Jun Sun

Proceedings of the 33rd IEEE Computer Security Foundations Symposium, 2020

2018

Quantifying and improving the robustness of trust systems

Dongxia Wang

PhD thesis, 2018

2017

Multi-source trust revision.

Audun Jøsang, Jie Zhang, Dongxia Wang

Proceedings of the 20th International Conference on Information Fusion, 2017

Multi-source fusion in subjective logic.

Audun Jøsang, Dongxia Wang, Jie Zhang

Proceedings of the 20th International Conference on Information Fusion, 2017

2016

How to Use Information Theory to Mitigate Unfair Rating Attacks.

Tim Muller, Dongxia Wang, Yang Liu, Jie Zhang

Proceedings of the Trust Management X - 10th IFIP WG 11.11 International Conference, 2016

Is It Harmful When Advisors Only Pretend to Be Honest?

Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Information Theory for Subjective Logic.

Tim Muller, Dongxia Wang, Audun Jøsang

Proceedings of the Modeling Decisions for Artificial Intelligence, 2015

Quantifying Robustness of Trust Systems against Collusive Unfair Rating Attacks Using Information Theory.

Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Using Information Theory to Improve the Robustness of Trust Systems.

Dongxia Wang, Tim Muller, Athirai Aravazhi Irissappane, Jie Zhang, Yang Liu

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014

Towards Robust and Effective Trust Management for Security: A Survey.

Dongxia Wang, Tim Muller, Yang Liu, Jie Zhang

Proceedings of the 13th IEEE International Conference on Trust, 2014