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2020 – today
- 2026
[c5]Wenhao Wang, Peizhi Niu, Zhao Xu, Zhaoyu Chen, Jian Du, Yaxin Du, Xianghe Pang, Keduan Huang, Yanfeng Wang, Qiang Yan, Siheng Chen:
MCP-Flow: Facilitating LLM Agents to Master Real-World, Diverse and Scaling MCP Tools. ACL (1) 2026: 5087-5116- [i13]Pengcheng Wang, Jerry Huang, Jiarui Yao, Rui Pan, Peizhi Niu, Yaowenqi Liu, Ruida Wang, Renhao Lu, Yuwei Guo, Tong Zhang:
AgentSPEX: An Agent SPecification and EXecution Language. CoRR abs/2604.13346 (2026) - [i12]Xinjie Shen, Rongzhe Wei, Peizhi Niu, Haoyu Wang, Ruihan Wu, Eli Chien, Bo Li, Pin-Yu Chen, Pan Li:
One Turn Too Late: Response-Aware Defense Against Hidden Malicious Intent in Multi-Turn Dialogue. CoRR abs/2605.05630 (2026) - [i11]Ahmad Al-Tawaha, Shangding Gu, Peizhi Niu, Ruoxi Jia, Ming Jin:
Remembering More, Risking More: Longitudinal Safety Risks in Memory-Equipped LLM Agents. CoRR abs/2605.17830 (2026) - [i10]Wenhao Wang, Peizhi Niu, Gongyi Zou, Xiyuan Yang, Jingxing Wang, Haoting Shi, Yaxin Du, Jingyi Chai, Xianghe Pang, Shuo Tang, Yanfeng Wang, Siheng Chen:
MCP-Persona: Benchmarking LLM Agents on Real-World Personal Applications via Environment Simulation. CoRR abs/2606.02470 (2026) - [i9]Peizhi Niu, Wenjie Qu, Shangding Gu, Tianneng Shi, Yuankai Li, Ahmad Al-Tawaha, Hend Alzahrani, Vincent Siu, Boyi Li, Chenguang Wang, Jiaheng Zhang, Basel Alomair, Ming Jin, Muhao Chen, Chi Wang, Costas J. Spanos, Dawn Song:
Understanding and Evaluating Claw-like Agent Security Through a Computer-Systems Lens. CoRR abs/2606.30755 (2026) - 2025
- [c4]Tianhao Wei, Hanjiang Hu, Luca Marzari, Kai S. Yun, Peizhi Niu, Xusheng Luo, Changliu Liu:
ModelVerification.jl: A Comprehensive Toolbox for Formally Verifying Deep Neural Networks. CAV (2) 2025: 395-408 - [c3]Yuke Xing
, Jiarui Wang, Peizhi Niu, Wenjie Huang, Guangtao Zhai, Yiling Xu:
3DGS-IEval-15K: A Large-scale Image Quality Evaluation Database for 3D Gaussian-Splatting. ACM Multimedia 2025: 12682-12689 - [c2]Peizhi Niu, Yu-Hsiang Wang, Vishal Rana, Chetan Rupakheti, Abhishek Pandey, Olgica Milenkovic:
DMol: A Highly Efficient and Chemical Motif-Preserving Molecule Generation Platform. NeurIPS 2025 - [c1]Rongzhe Wei, Peizhi Niu, Hans Hao-Hsun Hsu, Ruihan Wu, Haoteng Yin, Mohsen Ghassemi, Yifan Li, Vamsi K. Potluru, Eli Chien, Kamalika Chaudhuri, Olgica Milenkovic, Pan Li:
Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness. NeurIPS 2025 - [i8]Peizhi Niu, Yu-Hsiang Wang, Vishal Rana, Chetan Rupakheti, Abhishek Pandey, Olgica Milenkovic:
DMol: A Schedule-Driven Diffusion Model for Highly Efficient and Versatile Molecule Generation. CoRR abs/2504.06312 (2025) - [i7]Rongzhe Wei, Peizhi Niu, Hans Hao-Hsun Hsu, Ruihan Wu, Haoteng Yin, Mohsen Ghassemi, Yifan Li, Vamsi K. Potluru, Eli Chien, Kamalika Chaudhuri, Olgica Milenkovic, Pan Li:
Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness. CoRR abs/2506.05735 (2025) - [i6]Evelyn Ma, Duo Zhou, Peizhi Niu, Huiting Zhou, Huan Zhang, Olgica Milenkovic, S. Rasoul Etesami:
GUARD: Guided Unlearning and Retention via Data Attribution for Large Language Models. CoRR abs/2506.10946 (2025) - [i5]Yuke Xing, Jiarui Wang, Peizhi Niu, Wenjie Huang, Guangtao Zhai, Yiling Xu:
3DGS-IEval-15K: A Large-scale Image Quality Evaluation Database for 3D Gaussian-Splatting. CoRR abs/2506.14642 (2025) - [i4]Wenhao Wang, Peizhi Niu, Zhao Xu, Zhaoyu Chen, Jian Du, Yaxin Du, Xianghe Pang, Keduan Huang, Yanfeng Wang, Qiang Yan, Siheng Chen:
MCP-Flow: Facilitating LLM Agents to Master Real-World, Diverse and Scaling MCP Tools. CoRR abs/2510.24284 (2025) - [i3]Rongzhe Wei, Peizhi Niu, Xinjie Shen, Tony Tu, Yifan Li, Ruihan Wu, Eli Chien, Pin-Yu Chen, Olgica Milenkovic, Pan Li:
The Trojan Knowledge: Bypassing Commercial LLM Guardrails via Harmless Prompt Weaving and Adaptive Tree Search. CoRR abs/2512.01353 (2025) - 2024
- [j1]Tianhao Wei, Ziwei Wang, Peizhi Niu, Abulikemu Abuduweili, Weiye Zhao, Casidhe Hutchison, Eric M. Sample, Changliu Liu:
Improve Certified Training with Signal-to-Noise Ratio Loss to Decrease Neuron Variance and Increase Neuron Stability. Trans. Mach. Learn. Res. 2024 (2024) - [i2]Peizhi Niu, Chao Pan, Siheng Chen, Olgica Milenkovic:
Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks. CoRR abs/2406.07917 (2024) - [i1]Tianhao Wei, Luca Marzari, Kai S. Yun, Hanjiang Hu, Peizhi Niu, Xusheng Luo, Changliu Liu:
ModelVerification.jl: a Comprehensive Toolbox for Formally Verifying Deep Neural Networks. CoRR abs/2407.01639 (2024)
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