Privacy-preserving Context-aware Recommender Systems: Analysis and New Solutions. - Qiang Tang 001; Jun Wang 020 (IACR Cryptol. ePrint Arch., 2015)

Recommender Systems and their Security Concerns. - Jun Wang 020; Qiang Tang 001 (IACR Cryptol. ePrint Arch., 2015)

A Probabilistic View of Neighborhood-Based Recommendation Methods. - Jun Wang 020; Qiang Tang 001 (ICDM Workshops, 2016)

Differentially Private Neighborhood-Based Recommender Systems. - Jun Wang 020; Qiang Tang 001 (SEC, 2017)

Facilitating Privacy-preserving Recommendation-as-a-Service with Machine Learning. - Jun Wang 020; Afonso Arriaga; Qiang Tang 001; Peter Y. A. Ryan (CCS, 2018)

CryptoRec: Secure Recommendations as a Service. - Jun Wang 020; Afonso Arriaga; Qiang Tang 001; Peter Y. A. Ryan (CoRR, 2018)

Privacy-Preserving Friendship-Based Recommender Systems. - Qiang Tang 001; Jun Wang 020 (IEEE Trans. Dependable Secur. Comput., 2018)

Privacy-preserving Recommender Systems Facilitated By The Machine Learning Approach. - Jun Wang 020 (2018)

Novel Collaborative Filtering Recommender Friendly to Privacy Protection. - Jun Wang 020; Qiang Tang 001; Afonso Arriaga; Peter Y. A. Ryan (IJCAI, 2019)

Automatic Test Suite Generation for Key-points Detection DNNs Using Many-Objective Search. - Fitash Ul Haq; Donghwan Shin 001; Lionel C. Briand; Thomas Stifter; Jun Wang 020 (CoRR, 2020)

Automatic test suite generation for key-points detection DNNs using many-objective search (experience paper). - Fitash Ul Haq; Donghwan Shin 001; Lionel C. Briand; Thomas Stifter; Jun Wang 020 (ISSTA, 2021)

Popcorn: Paillier Meets Compression For Efficient Oblivious Neural Network Inference. - Jun Wang 020; Chao Jin 002; Souhail Meftah; Khin Mi Mi Aung (CoRR, 2021)

Recommendation Fairness: From Static to Dynamic. - Dell Zhang; Jun Wang 020 (CoRR, 2021)

CryptoRec: Novel Collaborative Filtering Recommender Made Privacy-Preserving Easy. - Jun Wang 020; Chao Jin 002; Qiang Tang 001; Zhe Liu 001; Khin Mi Mi Aung (IEEE Trans. Dependable Secur. Comput., 2022)

FedPerturb: Covert Poisoning Attack on Federated Learning via Partial Perturbation. - Tongsai Jin; Zhihui Fu; Dan Meng 001; Jun Wang 020; Yue Qi; Guitao Cao (ECAI, 2023)

Backdoor Attack Against Automatic Speaker Verification Models in Federated Learning. - Dan Meng 001; Xue Wang; Jun Wang 020 (ICASSP, 2023)

FedLRS: A Communication-Efficient Federated Learning Framework With Low-Rank and Sparse Decomposition. - Mingkai Luo; Dan Meng 001; Jun Wang 020; Yu Fang; Jiangyong Ying (ICPADS, 2023)

HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. - Xinting Liao; Weiming Liu 005; Chaochao Chen 001; Pengyang Zhou; Huabin Zhu; Yanchao Tan; Jun Wang 020; Yue Qi (IJCAI, 2023)

In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. - Zhongxuan Han; Chaochao Chen 001; Xiaolin Zheng; Weiming Liu 005; Jun Wang 020; Wenjie Cheng; Yuyuan Li (ACM Multimedia, 2023)

Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. - Yuyuan Li; Chaochao Chen 001; Xiaolin Zheng; Yizhao Zhang; Zhongxuan Han; Dan Meng 001; Jun Wang 020 (ACM Multimedia, 2023)

Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Chaochao Chen 001; Mengling Hu; Xinting Liao; Fan Wang 020; Yanchao Tan; Dan Meng 001; Jun Wang 020 (ACM Multimedia, 2023)

UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition. - Yuyuan Li; Chaochao Chen 001; Yizhao Zhang; Weiming Liu 005; Lingjuan Lyu; Xiaolin Zheng; Dan Meng 001; Jun Wang 020 (NeurIPS, 2023)

Selective and Collaborative Influence Function for Efficient Recommendation Unlearning. - Yuyuan Li; Chaochao Chen 001; Xiaolin Zheng; Yizhao Zhang; Biao Gong; Jun Wang 020 (CoRR, 2023)

VPiP: Values Packing in Paillier for Communication Efficient Oblivious Linear Computations. - Weibin Wu 003; Jun Wang 020; Yangpan Zhang; Zhe Liu 001; Lu Zhou 002; Xiaodong Lin 004 (IEEE Trans. Inf. Forensics Secur., 2023)

Selective and collaborative influence function for efficient recommendation unlearning. - Yuyuan Li; Chaochao Chen 001; Xiaolin Zheng; Yizhao Zhang; Biao Gong; Jun Wang 020; Linxun Chen (Expert Syst. Appl., 2023)

DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation. - Heyuan Huang; Xingyu Lou; Chaochao Chen 001; Pengxiang Cheng 003; Yue Xin; Chengwei He; Xiang Liu; Jun Wang 020 (CIKM, 2024)

GlitchProber: Advancing Effective Detection and Mitigation of Glitch Tokens in Large Language Models. - Zhibo Zhang; Wuxia Bai; Yuxi Li 010; Mark Huasong Meng; Kailong Wang 001; Ling Shi; Li Li 029; Jun Wang 020; Haoyu Wang 001 (ASE, 2024)

FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection. - Xinting Liao; Weiming Liu 005; Pengyang Zhou; Fengyuan Yu; Jiahe Xu 003; Jun Wang 020; Wenjie Wang; Chaochao Chen 001; Xiaolin Zheng (NeurIPS, 2024)

Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models. - Yu Cui; Feng Liu; Pengbo Wang; Bohao Wang; Heng Tang; Yi Wan; Jun Wang 020; Jiawei Chen 007 (RecSys, 2024)

Post-Training Attribute Unlearning in Recommender Systems. - Chaochao Chen 001; Yizhao Zhang; Yuyuan Li; Dan Meng 001; Jun Wang 020; Xiaoli Zheng; Jianwei Yin (CoRR, 2024)

Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model. - Yu Cui; Feng Liu; Pengbo Wang; Bohao Wang; Heng Tang; Yi Wan; Jun Wang 020; Jiawei Chen 007 (CoRR, 2024)

LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation. - Bohao Wang; Feng Liu; Jiawei Chen 007; Yudi Wu; Xingyu Lou; Jun Wang 020; Yan Feng; Chun Chen 001; Can Wang 001 (CoRR, 2024)

PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach. - Zhihao Lin; Wei Ma; Mingyi Zhou; Yanjie Zhao 001; Haoyu Wang 001; Yang Liu 003; Jun Wang 020; Li Li 029 (CoRR, 2024)

Hammer: Robust Function-Calling for On-Device Language Models via Function Masking. - Qiqiang Lin; Muning Wen; Qiuying Peng; Guanyu Nie; Junwei Liao; Jun Wang 152; Xiaoyun Mo; Jiamu Zhou; Cheng Cheng; Yin Zhao; Jun Wang 020; Weinan Zhang 001 (CoRR, 2024)

HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Device Scenarios. - Jun Wang 152; Jiamu Zhou; Muning Wen; Xiaoyun Mo; Haoyu Zhang; Qiqiang Lin; Cheng Jin; Xihuai Wang; Weinan Zhang 001; Qiuying Peng; Jun Wang 020 (CoRR, 2024)

Voltran: Unlocking Trust and Confidentiality in Decentralized Federated Learning Aggregation. - Hao Wang 189; Yichen Cai 002; Jun Wang 020; Chuan Ma 001; Chunpeng Ge 001; Xiangmou Qu; Lu Zhou 002 (IEEE Trans. Inf. Forensics Secur., 2024)

Making recommender systems forget: Learning and unlearning for erasable recommendation. - Yuyuan Li; Chaochao Chen 001; Xiaolin Zheng; Junlin Liu; Jun Wang 020 (Knowl. Based Syst., 2024)

Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation. - Yihao Wang; Jiajie Su; Chaochao Chen 001; Meng Han; Chi Zhang; Jun Wang 020 (AAAI, 2025)

FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation. - Pengyang Zhou; Chaochao Chen 001; Weiming Liu 005; Xinting Liao; Wenkai Shen; Jiahe Xu 003; Zhihui Fu; Jun Wang 020; Wu Wen; Xiaolin Zheng (AAAI, 2025)

Training-free Periodic Interest Augmentation in Incremental Recommendation. - Heyuan Huang; Xingyu Lou; Changwang Zhang; Chaochao Chen 001; Kuiyao Dong; Feng Lu; Han Lei; Yihao Wang; Wangchunshu Zhou; Jun Wang 020 (SIGIR, 2025)

MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender. - Bohao Wang; Feng Liu; Jiawei Chen 007; Xingyu Lou; Changwang Zhang; Jun Wang 020; Yuegang Sun; Yan Feng; Chun Chen 001; Can Wang 001 (SIGIR, 2025)

Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation. - Pengyang Zhou; Chaochao Chen 001; Weiming Liu 005; Wenkai Shen; Xinting Liao; Huarong Deng; Zhihui Fu; Jun Wang 020; Wu Wen; Xiaolin Zheng (SIGIR, 2025)

HapRepair: Learn to Repair OpenHarmony Apps. - Zhihao Lin; Mingyi Zhou; Wei Ma; Chi Chen; Yun Yang 003; Jun Wang 020; Chunming Hu; Li Li 029 (SIGSOFT FSE Companion, 2025)

FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning. - Pengyang Zhou; Chaochao Chen 001; Weiming Liu 005; Xinting Liao; Fengyuan Yu; Zhihui Fu; Xingyu Lou; Wu Wen; Xiaolin Zheng; Jun Wang 020 (WSDM, 2025)

Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation. - Weiming Liu 005; Chaochao Chen 001; Jiahe Xu 003; Xinting Liao; Fan Wang 020; Xiaolin Zheng; Zhihui Fu; Ruiguang Pei; Jun Wang 020 (WWW, 2025)

ADSS: An Available-but-Invisible Data Service Scheme for Fine-Grained Usage Control. - Hao Wang 189; Jun Wang 020; Chunpeng Ge 001; Yuhang Li; Lu Zhou 002; Zhe Liu 001; Weibin Wu 003; Mingsheng Cao (IEEE Trans. Serv. Comput., 2025)

Post-Training Attribute Unlearning in Recommender Systems. - Chaochao Chen 001; Yizhao Zhang; Yuyuan Li; Jun Wang 020; Lianyong Qi; Xiaolong Xu 001; Xiaolin Zheng; Jianwei Yin (ACM Trans. Inf. Syst., 2025)

OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation. - Shengjia Zhang; Junjie Wu; Jiawei Chen 007; Changwang Zhang; Xingyu Lou; Wangchunshu Zhou; Sheng Zhou 004; Can Wang 001; Jun Wang 020 (CoRR, 2025)

Open Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning. - Zhihao Lin; Wei Ma; Tao Lin 004; Yaowen Zheng; Jingquan Ge; Jun Wang 020; Jacques Klein; Tegawendé F. Bissyandé; Yang Liu 003; Li Li 029 (ACM Trans. Softw. Eng. Methodol., 2025)