MineDetector: JavaScript Browser-side Cryptomining Detection using Static Methods. - Peiran Wang; Yuqiang Sun 001; Cheng Huang 003; Yutong Du; Genpei Liang; Gang Long (CSE, 2021)

FedVANET: Efficient Federated Learning with Non-IID Data for Vehicular Ad Hoc Networks. - Beibei Li 002; Yukun Jiang 001; Wenbin Sun; Weina Niu; Peiran Wang (GLOBECOM, 2021)

FLPhish: Reputation-based Phishing Byzantine Defense in Ensemble Federated Learning. - Beibei Li 002; Peiran Wang; Hanyuan Huang; Shang Ma; Yukun Jiang 001 (ISCC, 2021)

Systems analysis of the "weights" of Bcl-2 and Mcl-1 in mitochondrial apoptosis pathway establishes a predictor for best drug combination ratio. - Zongwei Guo; Fangkui Yin; Peiran Wang; Ting Song; Zhichao Zhang (Quant. Biol., 2021)

TinyG: Accurate IP Geolocation Using a Tiny Number of Probers. - Nan Jiang; Jessie Hui Wang; Jilong Wang 001; Peiran Wang (CNSM, 2023)

Top AS Router Geolocation in Databases: Performance and Techniques. - Nan Jiang; Jessie Hui Wang; Jilong Wang 001; Peiran Wang (GLOBECOM, 2023)

Predictive Machine Learning Models of Methane Emissions Using Farm Environmental Data. - Peiran Wang (IoTAAI, 2023)

FedCliP: Federated Learning with Client Pruning. - Beibei Li 002; Zerui Shao; Ao Liu 005; Peiran Wang (CoRR, 2023)

FedChain: An Efficient and Secure Consensus Protocol based on Proof of Useful Federated Learning for Blockchain. - Peiran Wang (CoRR, 2023)

Defending Byzantine attacks in ensemble federated learning: A reputation-based phishing approach. - Beibei Li 002; Peiran Wang; Zerui Shao; Ao Liu 005; Yukun Jiang 001; Yizhou Li (Future Gener. Comput. Syst., 2023)

Moderator: Moderating Text-to-Image Diffusion Models through Fine-grained Context-based Policies. - Peiran Wang; Qiyu Li; Longxuan Yu; Ziyao Wang; Ang Li 005; Haojian Jin (CCS, 2024)

Distributed Boosting: An Enhancing Method on Dataset Distillation. - Xuechao Chen; Wenchao Meng; Peiran Wang; Qihang Zhou (CIKM, 2024)

DistDD: Distributed Data Distillation Aggregation through Gradient Matching. - Peiran Wang; Haohan Wang (CoRR, 2024)

Training on Fake Labels: Mitigating Label Leakage in Split Learning via Secure Dimension Transformation. - Yukun Jiang 001; Peiran Wang; Chengguo Lin; Ziyue Huang; Yong Cheng (CoRR, 2024)

Towards Adversarially Robust Dataset Distillation by Curvature Regularization. - Eric Xue 002; Yijiang Li; Haoyang Liu 001; Peiran Wang; Yifan Shen; Haohan Wang (AAAI, 2025)

FedUFD: Personalized Edge Computing Using Federated Uncertainty-Driven Feature Distillation. - Zerui Shao; Beibei Li 002; Zhibo Wang; Yanbing Yang; Peiran Wang; Jun Luo (INFOCOM, 2025)

RePD: Defending Jailbreak Attack through a Retrieval-based Prompt Decomposition Process. - Peiran Wang; Xiaogeng Liu; Chaowei Xiao (NAACL (Findings), 2025)

CVE-Bench: Benchmarking LLM-based Software Engineering Agent's Ability to Repair Real-World CVE Vulnerabilities. - Peiran Wang; Xiaogeng Liu; Chaowei Xiao (NAACL (Long Papers), 2025)

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models. - Peiran Wang; Linjie Tong; Jiaxiang Liu; Zuozhu Liu (CoRR, 2025)

Astra: Efficient and Money-saving Automatic Parallel Strategies Search on Heterogeneous GPUs. - Peiran Wang; Haibing Li; Fu Haohan; Shiyong Li; Yanpeng Wang; Dou Shen (CoRR, 2025)

What are Models Thinking about? Understanding Large Language Model Hallucinations "Psychology" through Model Inner State Analysis. - Peiran Wang; Yang Liu; Yunfei Lu; Jue Hong; Ye Wu (CoRR, 2025)

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models. - Haibo Jin; Peiyan Zhang; Peiran Wang; Man Luo; Haohan Wang (CoRR, 2025)

FedLoRE: Communication-Efficient and Personalized Edge Intelligence Framework via Federated Low-Rank Estimation. - Zerui Shao; Beibei Li 002; Peiran Wang; Yi Zhang 018; Kim-Kwang Raymond Choo (IEEE Trans. Parallel Distributed Syst., 2025)

AgentArmor: Enforcing Program Analysis on Agent Runtime Trace to Defend Against Prompt Injection. - Peiran Wang; Yang Liu; Yunfei Lu; Yifeng Cai; Hongbo Chen; Qingyou Yang; Jie Zhang; Jue Hong; Ye Wu (CoRR, 2025)

Large Language Model-based Data Science Agent: A Survey. - Peiran Wang; Yaoning Yu; Ke Chen; Xianyang Zhan; Haohan Wang (CoRR, 2025)