Jun Wang - RankMe

79 papers A* 20A 7B 1Misc 2Journal 44Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Milestone Reward for GUI Agents. CoRR Congmin Zheng, Xiaoyun Mo, Xinbei Ma, Qiqiang Lin, Yin Zhao, Jiachen Zhu, Xingyu Lou, Jun Wang, Zhaoxiang Wang, Weiwen Liu, Zhuosheng Zhang, Yong Yu, Weinan Zhang
2026	A*	`conf`	ColorBench: Benchmarking Mobile Agents with Graph-Structured Framework for Complex Long-Horizon Tasks. WWW Yuanyi Song, Heyuan Huang, Qiqiang Lin, Yin Zhao, Xiangmou Qu, Jun Wang, Xingyu Lou, Weiwen Liu, Zhuosheng Zhang, Jun Wang, Zhaoxiang Wang, Yong Yu, Weinan Zhang
2026	A*	`conf`	Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders. WWW Bohao Wang, Jiawei Chen, Feng Liu, Changwang Zhang, Jun Wang, Canghong Jin, Chun Chen, Can Wang
2026	A*	`conf`	Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction. WWW Yu Cui, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Xiaohu Yang, Can Wang
2026	A*	`conf`	FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks. WWW Naen Xu, Jinghuai Zhang, Ping He, Chunyi Zhou, Jun Wang, Zhihui Fu, Tianyu Du, Zhaoxiang Wang, Shouling Ji
2026	J	`jnl`	LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation. ACM Trans. Inf. Syst. Bohao Wang, Feng Liu, Changwang Zhang, Jiawei Chen, Yudi Wu, Sheng Zhou, Xingyu Lou, Jun Wang, Yan Feng, Chun Chen, Can Wang
2026	A*	`conf`	Sharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation. WWW Fengyuan Yu, Xiaohua Feng, Yuyuan Li, Changwang Zhang, Jun Wang, Chaochao Chen
2026	J	`jnl`	SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation. CoRR Yu Cui, Feng Liu, Zhaoxiang Wang, Changwang Zhang, Jun Wang, Can Wang, Jiawei Chen
2025	J	`jnl`	ADSS: An Available-but-Invisible Data Service Scheme for Fine-Grained Usage Control. IEEE Trans. Serv. Comput. Hao Wang, Jun Wang, Chunpeng Ge, Yuhang Li, Lu Zhou, Zhe Liu, Weibin Wu, Mingsheng Cao
2025	A	`conf`	Diversity-Aware Self-Paced Data Selection for LLM Fine-Tuning. ECAI Yingxuan Yang, Huayi Wang, Muning Wen, Xiaoyun Mo, Qiuying Peng, Jun Wang, Weinan Zhang
2025	J	`jnl`	Does LLM Focus on the Right Words? Diagnosing Language Bias in LLM-based Recommenders. CoRR Bohao Wang, Jiawei Chen, Feng Liu, Changwang Zhang, Jun Wang, Canghong Jin, Chun Chen, Can Wang
2025	A	`conf`	FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning. WSDM Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Fengyuan Yu, Zhihui Fu, Xingyu Lou, Wu Wen, Xiaolin Zheng, Jun Wang
2025	A*	`conf`	FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation. AAAI Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Wenkai Shen, Jiahe Xu, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng
2025	J	`jnl`	Field Matters: A lightweight LLM-enhanced Method for CTR Prediction. CoRR Yu Cui, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Xiaohu Yang, Can Wang
2025	—	`conf`	HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Assistant Scenarios. ACL (Findings) Jun Wang, Jiamu Zhou, Xihuai Wang, Xiaoyun Mo, Haoyu Zhang, Qiqiang Lin, Jincheng Jincheng, Muning Wen, Weinan Zhang, Qiuying Peng
2025	—	`conf`	HapRepair: Learn to Repair OpenHarmony Apps. SIGSOFT FSE Companion Zhihao Lin, Mingyi Zhou, Wei Ma, Chi Chen, Yun Yang, Jun Wang, Chunming Hu, Li Li
2025	J	`jnl`	HatLLM: Hierarchical Attention Masking for Enhanced Collaborative Modeling in LLM-based Recommendation. CoRR Yu Cui, Feng Liu, Jiawei Chen, Canghong Jin, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Can Wang
2025	A*	`conf`	Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation. SIGIR Pengyang Zhou, Chaochao Chen, Weiming Liu, Wenkai Shen, Xinting Liao, Huarong Deng, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng
2025	A*	`conf`	Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation. WWW Weiming Liu, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Xiaolin Zheng, Zhihui Fu, Ruiguang Pei, Jun Wang
2025	J	`jnl`	Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation. CoRR Weiming Liu, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Xiaolin Zheng, Zhihui Fu, Ruiguang Pei, Jun Wang
2025	A*	`conf`	MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender. SIGIR Bohao Wang, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Yan Feng, Chun Chen, Can Wang
2025	J	`jnl`	MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender. CoRR Bohao Wang, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Yan Feng, Chun Chen, Can Wang
2025	J	`jnl`	OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation. CoRR Shengjia Zhang, Junjie Wu, Jiawei Chen, Changwang Zhang, Xingyu Lou, Wangchunshu Zhou, Sheng Zhou, Can Wang, Jun Wang
2025	J	`jnl`	Open Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning. ACM Trans. Softw. Eng. Methodol. Zhihao Lin, Wei Ma, Tao Lin, Yaowen Zheng, Jingquan Ge, Jun Wang, Jacques Klein, Tegawendé F. Bissyandé, Yang Liu, Li Li
2025	A	`conf`	Personalized Federated Recommendation with Multi-Faceted User Representation and Global Consistent Prototype. CIKM Jiaming Qian, Xinting Liao, Xiangmou Qu, Zhihui Fu, Xingyu Lou, Changwang Zhang, Pengyang Zhou, Zijun Zhou, Jun Wang, Chaochao Chen
2025	J	`jnl`	Post-Training Attribute Unlearning in Recommender Systems. ACM Trans. Inf. Syst. Chaochao Chen, Yizhao Zhang, Yuyuan Li, Jun Wang, Lianyong Qi, Xiaolong Xu, Xiaolin Zheng, Jianwei Yin
2025	A*	`conf`	Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation. AAAI Yihao Wang, Jiajie Su, Chaochao Chen, Meng Han, Chi Zhang, Jun Wang
2025	A*	`conf`	Training-free Periodic Interest Augmentation in Incremental Recommendation. SIGIR Heyuan Huang, Xingyu Lou, Changwang Zhang, Chaochao Chen, Kuiyao Dong, Feng Lu, Han Lei, Yihao Wang, Wangchunshu Zhou, Jun Wang
2024	J	`jnl`	A Framework to Implement 1+N Multi-task Fine-tuning Pattern in LLMs Using the CGC-LORA Algorithm. CoRR Chao Song, Zhihao Ye, Qiqiang Lin, Qiuying Peng, Jun Wang
2024	J	`jnl`	Adaptive Conditional Expert Selection Network for Multi-domain Recommendation. CoRR Kuiyao Dong, Xingyu Lou, Feng Liu, Ruian Wang, Wenyi Yu, Ping Wang, Jun Wang
2024	A	`conf`	DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation. CIKM Heyuan Huang, Xingyu Lou, Chaochao Chen, Pengxiang Cheng, Yue Xin, Chengwei He, Xiang Liu, Jun Wang
2024	J	`jnl`	DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation. CoRR Heyuan Huang, Xingyu Lou, Chaochao Chen, Pengxiang Cheng, Yue Xin, Chengwei He, Xiang Liu, Jun Wang
2024	J	`jnl`	Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model. CoRR Yu Cui, Feng Liu, Pengbo Wang, Bohao Wang, Heng Tang, Yi Wan, Jun Wang, Jiawei Chen
2024	A	`conf`	Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models. RecSys Yu Cui, Feng Liu, Pengbo Wang, Bohao Wang, Heng Tang, Yi Wan, Jun Wang, Jiawei Chen
2024	A*	`conf`	FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection. NeurIPS Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng
2024	J	`jnl`	FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection. CoRR Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng
2024	A*	`conf`	GlitchProber: Advancing Effective Detection and Mitigation of Glitch Tokens in Large Language Models. ASE Zhibo Zhang, Wuxia Bai, Yuxi Li, Mark Huasong Meng, Kailong Wang, Ling Shi, Li Li, Jun Wang, Haoyu Wang
2024	J	`jnl`	GlitchProber: Advancing Effective Detection and Mitigation of Glitch Tokens in Large Language Models. CoRR Zhibo Zhang, Wuxia Bai, Yuxi Li, Mark Huasong Meng, Kailong Wang, Ling Shi, Li Li, Jun Wang, Haoyu Wang
2024	J	`jnl`	Hammer: Robust Function-Calling for On-Device Language Models via Function Masking. CoRR Qiqiang Lin, Muning Wen, Qiuying Peng, Guanyu Nie, Junwei Liao, Jun Wang, Xiaoyun Mo, Jiamu Zhou, Cheng Cheng, Yin Zhao, Jun Wang, Weinan Zhang
2024	J	`jnl`	HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Device Scenarios. CoRR Jun Wang, Jiamu Zhou, Muning Wen, Xiaoyun Mo, Haoyu Zhang, Qiqiang Lin, Cheng Jin, Xihuai Wang, Weinan Zhang, Qiuying Peng, Jun Wang
2024	J	`jnl`	LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation. CoRR Bohao Wang, Feng Liu, Jiawei Chen, Yudi Wu, Xingyu Lou, Jun Wang, Yan Feng, Chun Chen, Can Wang
2024	J	`jnl`	Making recommender systems forget: Learning and unlearning for erasable recommendation. Knowl. Based Syst. Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Junlin Liu, Jun Wang
2024	J	`jnl`	Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning. CoRR Zhihao Lin, Wei Ma, Tao Lin, Yaowen Zheng, Jingquan Ge, Jun Wang, Jacques Klein, Tegawendé F. Bissyandé, Yang Liu, Li Li
2024	J	`jnl`	PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach. CoRR Zhihao Lin, Wei Ma, Mingyi Zhou, Yanjie Zhao, Haoyu Wang, Yang Liu, Jun Wang, Li Li
2024	J	`jnl`	Post-Training Attribute Unlearning in Recommender Systems. CoRR Chaochao Chen, Yizhao Zhang, Yuyuan Li, Dan Meng, Jun Wang, Xiaoli Zheng, Jianwei Yin
2024	J	`jnl`	Voltran: Unlocking Trust and Confidentiality in Decentralized Federated Learning Aggregation. CoRR Hao Wang, Yichen Cai, Jun Wang, Chuan Ma, Chunpeng Ge, Xiangmou Qu, Lu Zhou
2024	J	`jnl`	Voltran: Unlocking Trust and Confidentiality in Decentralized Federated Learning Aggregation. IEEE Trans. Inf. Forensics Secur. Hao Wang, Yichen Cai, Jun Wang, Chuan Ma, Chunpeng Ge, Xiangmou Qu, Lu Zhou
2023	Misc	`conf`	Backdoor Attack Against Automatic Speaker Verification Models in Federated Learning. ICASSP Dan Meng, Xue Wang, Jun Wang
2023	A*	`conf`	Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation. ACM Multimedia Weiming Liu, Xiaolin Zheng, Chaochao Chen, Mengling Hu, Xinting Liao, Fan Wang, Yanchao Tan, Dan Meng, Jun Wang
2023	B	`conf`	FedLRS: A Communication-Efficient Federated Learning Framework With Low-Rank and Sparse Decomposition. ICPADS Mingkai Luo, Dan Meng, Jun Wang, Yu Fang, Jiangyong Ying
2023	A	`conf`	FedPerturb: Covert Poisoning Attack on Federated Learning via Partial Perturbation. ECAI Tongsai Jin, Zhihui Fu, Dan Meng, Jun Wang, Yue Qi, Guitao Cao
2023	A*	`conf`	HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. IJCAI Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi
2023	J	`jnl`	HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. CoRR Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi
2023	A*	`conf`	In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. ACM Multimedia Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Weiming Liu, Jun Wang, Wenjie Cheng, Yuyuan Li
2023	J	`jnl`	In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. CoRR Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Weiming Liu, Jun Wang, Wenjie Cheng, Yuyuan Li
2023	A*	`conf`	Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. ACM Multimedia Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han, Dan Meng, Jun Wang
2023	J	`jnl`	Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. CoRR Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han, Dan Meng, Jun Wang
2023	J	`jnl`	Selective and Collaborative Influence Function for Efficient Recommendation Unlearning. CoRR Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Biao Gong, Jun Wang
2023	J	`jnl`	Selective and collaborative influence function for efficient recommendation unlearning. Expert Syst. Appl. Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Biao Gong, Jun Wang, Linxun Chen
2023	A*	`conf`	UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition. NeurIPS Yuyuan Li, Chaochao Chen, Yizhao Zhang, Weiming Liu, Lingjuan Lyu, Xiaolin Zheng, Dan Meng, Jun Wang
2023	J	`jnl`	VPiP: Values Packing in Paillier for Communication Efficient Oblivious Linear Computations. IEEE Trans. Inf. Forensics Secur. Weibin Wu, Jun Wang, Yangpan Zhang, Zhe Liu, Lu Zhou, Xiaodong Lin
2022	J	`jnl`	CryptoRec: Novel Collaborative Filtering Recommender Made Privacy-Preserving Easy. IEEE Trans. Dependable Secur. Comput. Jun Wang, Chao Jin, Qiang Tang, Zhe Liu, Khin Mi Mi Aung
2021	A	`conf`	Automatic test suite generation for key-points detection DNNs using many-objective search (experience paper). ISSTA Fitash Ul Haq, Donghwan Shin, Lionel C. Briand, Thomas Stifter, Jun Wang
2021	J	`jnl`	Popcorn: Paillier Meets Compression For Efficient Oblivious Neural Network Inference. CoRR Jun Wang, Chao Jin, Souhail Meftah, Khin Mi Mi Aung
2021	J	`jnl`	Recommendation Fairness: From Static to Dynamic. CoRR Dell Zhang, Jun Wang
2020	J	`jnl`	Automatic Test Suite Generation for Key-points Detection DNNs Using Many-Objective Search. CoRR Fitash Ul Haq, Donghwan Shin, Lionel C. Briand, Thomas Stifter, Jun Wang
2019	A*	`conf`	Novel Collaborative Filtering Recommender Friendly to Privacy Protection. IJCAI Jun Wang, Qiang Tang, Afonso Arriaga, Peter Y. A. Ryan
2018	J	`jnl`	CryptoRec: Secure Recommendations as a Service. CoRR Jun Wang, Afonso Arriaga, Qiang Tang, Peter Y. A. Ryan
2018	A*	`conf`	Facilitating Privacy-preserving Recommendation-as-a-Service with Machine Learning. CCS Jun Wang, Afonso Arriaga, Qiang Tang, Peter Y. A. Ryan
2018	J	`jnl`	Privacy-Preserving Friendship-Based Recommender Systems. IEEE Trans. Dependable Secur. Comput. Qiang Tang, Jun Wang
2018	—	`—`	Privacy-preserving Recommender Systems Facilitated By The Machine Learning Approach. Jun Wang
2017	J	`jnl`	A Probabilistic View of Neighborhood-based Recommendation Methods. CoRR Jun Wang, Qiang Tang
2017	Misc	`conf`	Differentially Private Neighborhood-Based Recommender Systems. SEC Jun Wang, Qiang Tang
2017	J	`jnl`	Differentially Private Neighborhood-based Recommender Systems. CoRR Jun Wang, Qiang Tang
2016	—	`conf`	A Probabilistic View of Neighborhood-Based Recommendation Methods. ICDM Workshops Jun Wang, Qiang Tang
2015	—	`conf`	Privacy-Preserving Context-Aware Recommender Systems: Analysis and New Solutions. ESORICS (2) Qiang Tang, Jun Wang
2015	J	`jnl`	Privacy-preserving Context-aware Recommender Systems: Analysis and New Solutions. IACR Cryptol. ePrint Arch. Qiang Tang, Jun Wang
2015	J	`jnl`	Privacy-preserving Friendship-based Recommender Systems. IACR Cryptol. ePrint Arch. Qiang Tang, Jun Wang
2015	J	`jnl`	Recommender Systems and their Security Concerns. IACR Cryptol. ePrint Arch. Jun Wang, Qiang Tang