Dongxia Wang - RankMe

54 papers A* 8A 5B 3C 2Journal 31Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decentralized Next Point-of-Interest Recommendation Guided by Willingness to Share. ACM Trans. Inf. Syst. Ziqing Wu, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang, Yew-Soon Ong
2026	J	`jnl`	FOOLSDEDIT: Deceptively Steering Your Edits Towards Targeted Attribute-Aware Distribution. IEEE Trans. Dependable Secur. Comput. Qi Zhou, Dongxia Wang, Tianlin Li, Zhihong Xu, Yang Liu, Kui Ren, Wenhai Wang, Qing Guo
2026	J	`jnl`	LLM-VA: Resolving the Jailbreak-Overrefusal Trade-off via Vector Alignment. CoRR Haonan Zhang, Dongxia Wang, Yi Liu, Kexin Chen, Wenhai Wang
2026	J	`jnl`	Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking. CoRR Huizhong Guo, Tianjun Wei, Dongxia Wang, Yingpeng Du, Ziyan Wang, Jie Zhang, Zhu Sun
2025	J	`jnl`	Androfim: few-shot android malware family detection based on image representation. Cybersecur. Fan Zhou, Dongxia Wang, Yanhai Xiong, Kun Sun, Wenhai Wang
2025	J	`jnl`	CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation. CoRR Zhanhang Xiong, Dongxia Wang, Yuekang Li, Xinyuan An, Wenhai Wang
2025	A*	`conf`	Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision. ICML Qi Zhou, Dongxia Wang, Tianlin Li, Yun Lin, Yang Liu, Jin Song Dong, Qing Guo
2025	A*	`conf`	Enhancing New-item Fairness in Dynamic Recommender Systems. SIGIR Huizhong Guo, Zhu Sun, Dongxia Wang, Tianjun Wei, Jinfeng Li, Jie Zhang
2025	J	`jnl`	Enhancing New-item Fairness in Dynamic Recommender Systems. CoRR Huizhong Guo, Zhu Sun, Dongxia Wang, Tianjun Wei, Jinfeng Li, Jie Zhang
2025	J	`jnl`	Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity. CoRR Qi Zhou, Jie Zhang, Dongxia Wang, Qiang Liu, Tianlin Li, Jin Song Dong, Wenhai Wang, Qing Guo
2025	J	`jnl`	KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems? ACM Trans. Inf. Syst. Haonan Zhang, Dongxia Wang, Zhu Sun, Yanhui Li, Youcheng Sun, Huizhi Liang, Wenhai Wang
2025	—	`conf`	LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture. KDD (2) Yanhui Li, Dongxia Wang, Zhu Sun, Haonan Zhang, Huizhong Guo
2025	J	`jnl`	LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture. CoRR Yanhui Li, Dongxia Wang, Zhu Sun, Haonan Zhang, Huizhong Guo
2025	J	`jnl`	MAS CoRR Kun Wang, Guibin Zhang, ManKit Ye, Xinyu Deng, Dongxia Wang, Xiaobin Hu, Jinyang Guo, Yang Liu, Yufei Guo
2025	J	`jnl`	Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation. CoRR Tianjun Wei, Huizhong Guo, Yingpeng Du, Zhu Sun, Chen Huang, Dongxia Wang, Jie Zhang
2025	A*	`conf`	ORFuzz: Fuzzing the "Other Side" of LLM Safety - Testing Over-Refusal. ASE Haonan Zhang, Dongxia Wang, Yi Liu, Kexin Chen, Jiashui Wang, Xinlei Ying, Long Liu, Wenhai Wang
2025	J	`jnl`	ORFuzz: Fuzzing the "Other Side" of LLM Safety - Testing Over-Refusal. CoRR Haonan Zhang, Dongxia Wang, Yi Liu, Kexin Chen, Jiashui Wang, Xinlei Ying, Long Liu, Wenhai Wang
2025	J	`jnl`	RP-CATE: Recurrent Perceptron-based Channel Attention Transformer Encoder for Industrial Hybrid Modeling. CoRR Haoran Yang, Yinan Zhang, Wenjie Zhang, Dongxia Wang, Peiyu Liu, Yuqi Ye, Kexin Chen, Wenhai Wang
2025	J	`jnl`	S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models. Proc. ACM Softw. Eng. Xiaohan Yuan, Jinfeng Li, Dongxia Wang, Yuefeng Chen, Xiaofeng Mao, Longtao Huang, Jialuo Chen, Hui Xue, Xiaoxia Liu, Wenhai Wang, Kui Ren, Jingyi Wang
2025	—	`conf`	Sticking to the Mean: Detecting Sticky Tokens in Text Embedding Models. ACL (1) Kexin Chen, Dongxia Wang, Yi Liu, Haonan Zhang, Wenhai Wang
2025	J	`jnl`	Sticking to the Mean: Detecting Sticky Tokens in Text Embedding Models. CoRR Kexin Chen, Dongxia Wang, Yi Liu, Haonan Zhang, Wenhai Wang
2025	J	`jnl`	When Harmful Content Gets Camouflaged: Unveiling Perception Failure of LVLMs with CamHarmTI. CoRR Yanhui Li, Qi Zhou, Zhihong Xu, Huizhong Guo, Wenhai Wang, Dongxia Wang
2024	J	`jnl`	Agents4PLC: Automating Closed-loop PLC Code Generation and Verification in Industrial Control Systems using LLM-based Agents. CoRR Zihan Liu, Ruinan Zeng, Dongxia Wang, Gengyun Peng, Jingyi Wang, Qiang Liu, Peiyu Liu, Wenhai Wang
2024	J	`jnl`	Characterizing and Evaluating the Reliability of LLMs against Jailbreak Attacks. CoRR Kexin Chen, Yi Liu, Dongxia Wang, Jiaying Chen, Wenhai Wang
2024	A*	`conf`	Configurable Fairness for New Item Recommendation Considering Entry Time of Items. SIGIR Huizhong Guo, Dongxia Wang, Zhu Sun, Haonan Zhang, Jinfeng Li, Jie Zhang
2024	J	`jnl`	Defending LVLMs Against Vision Attacks through Partial-Perception Supervision. CoRR Qi Zhou, Tianlin Li, Qing Guo, Dongxia Wang, Yun Lin, Yang Liu, Jin Song Dong
2024	J	`jnl`	Does Knowledge Graph Really Matter for Recommender Systems? CoRR Haonan Zhang, Dongxia Wang, Zhu Sun, Yanhui Li, Youcheng Sun, Huizhi Liang, Wenhai Wang
2024	J	`jnl`	FAMCF: A few-shot Android malware family classification framework. Comput. Secur. Fan Zhou, Dongxia Wang, Yanhai Xiong, Kun Sun, Wenhai Wang
2024	J	`jnl`	FoolSDEdit: Deceptively Steering Your Edits Towards Targeted Attribute-aware Distribution. CoRR Qi Zhou, Dongxia Wang, Tianlin Li, Zhihong Xu, Yang Liu, Kui Ren, Wenhai Wang, Qing Guo
2024	J	`jnl`	MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation. CoRR Ziqing Wu, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang, Yew Soon Ong
2024	J	`jnl`	Provably Secure Decisions Based on Potentially Malicious Information. IEEE Trans. Dependable Secur. Comput. Dongxia Wang, Tim Muller, Jun Sun
2024	J	`jnl`	S-Eval: Automatic and Adaptive Test Generation for Benchmarking Safety Evaluation of Large Language Models. CoRR Xiaohan Yuan, Jinfeng Li, Dongxia Wang, Yuefeng Chen, Xiaofeng Mao, Longtao Huang, Hui Xue, Wenhai Wang, Kui Ren, Jingyi Wang
2024	A	`conf`	Stability of Weighted Majority Voting under Estimated Weights. AAMAS Shaojie Bai, Dongxia Wang, Tim Muller, Peng Cheng, Jiming Chen
2024	A*	`conf`	Understanding Code Changes Practically with Small-Scale Language Models. ASE Cong Li, Zhaogui Xu, Peng Di, Dongxia Wang, Zheng Li, Qian Zheng
2023	A	`conf`	FairRec: Fairness Testing for Deep Recommender Systems. ISSTA Huizhong Guo, Jinfeng Li, Jingyi Wang, Xiangyu Liu, Dongxia Wang, Zehong Hu, Rong Zhang, Hui Xue
2023	J	`jnl`	FairRec: Fairness Testing for Deep Recommender Systems. CoRR Huizhong Guo, Jinfeng Li, Jingyi Wang, Xiangyu Liu, Dongxia Wang, Zehong Hu, Rong Zhang, Hui Xue
2023	J	`jnl`	Prompting Frameworks for Large Language Models: A Survey. CoRR Xiaoxia Liu, Jingyi Wang, Jun Sun, Xiaohan Yuan, Guoliang Dong, Peng Di, Wenhai Wang, Dongxia Wang
2023	A	`conf`	Stability of Weighted Majority Voting under Estimated Weights. AAMAS Shaojie Bai, Dongxia Wang, Tim Muller, Peng Cheng, Jiming Chen
2022	J	`jnl`	Stability of Weighted Majority Voting under Estimated Weights. CoRR Shaojie Bai, Dongxia Wang, Tim Muller, Peng Cheng, Jiming Chen
2021	B	`conf`	An Interactive System for Unfair Rating Detection Models in a Customized Perspective. TrustCom Ke Lv, Yuan Liu, Jienan Chen, Dongxia Wang, Zhihong Tian
2021	—	`ed.`	Proceedings of the 22nd International Workshop on Trust in Agent Societies (TRUST 2021) Co-located with the 20th International Conferences on Autonomous Agents and Multiagent Systems (AAMAS 2021), London, UK, May 3-7, 2021. TRUST@AAMAS Dongxia Wang, Rino Falcone, Jie Zhang
2021	A*	`conf`	RobOT: Robustness-Oriented Testing for Deep Learning Systems. ICSE Jingyi Wang, Jialuo Chen, Youcheng Sun, Xingjun Ma, Dongxia Wang, Jun Sun, Peng Cheng
2021	J	`jnl`	RobOT: Robustness-Oriented Testing for Deep Learning Systems. CoRR Jingyi Wang, Jialuo Chen, Youcheng Sun, Xingjun Ma, Dongxia Wang, Jun Sun, Peng Cheng
2020	J	`jnl`	Information Theoretical Analysis of Unfair Rating Attacks Under Subjectivity. IEEE Trans. Inf. Forensics Secur. Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu
2020	A	`conf`	Provably Robust Decisions based on Potentially Malicious Sources of Information. CSF Tim Muller, Dongxia Wang, Jun Sun
2018	—	`—`	Quantifying and improving the robustness of trust systems Dongxia Wang
2017	C	`conf`	Multi-source fusion in subjective logic. FUSION Audun Jøsang, Dongxia Wang, Jie Zhang
2017	C	`conf`	Multi-source trust revision. FUSION Audun Jøsang, Jie Zhang, Dongxia Wang
2016	—	`conf`	How to Use Information Theory to Mitigate Unfair Rating Attacks. IFIPTM Tim Muller, Dongxia Wang, Yang Liu, Jie Zhang
2016	A*	`conf`	Is It Harmful When Advisors Only Pretend to Be Honest? AAAI Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu
2015	B	`conf`	Information Theory for Subjective Logic. MDAI Tim Muller, Dongxia Wang, Audun Jøsang
2015	A*	`conf`	Quantifying Robustness of Trust Systems against Collusive Unfair Rating Attacks Using Information Theory. IJCAI Dongxia Wang, Tim Muller, Jie Zhang, Yang Liu
2015	A	`conf`	Using Information Theory to Improve the Robustness of Trust Systems. AAMAS Dongxia Wang, Tim Muller, Athirai Aravazhi Irissappane, Jie Zhang, Yang Liu
2014	B	`conf`	Towards Robust and Effective Trust Management for Security: A Survey. TrustCom Dongxia Wang, Tim Muller, Yang Liu, Jie Zhang