Zi Liang

According to our database, Zi Liang authored at least 34 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Argus: Reorchestrating Static Analysis via a Multi-Agent Ensemble for Full-Chain Security Vulnerability Detection.

Zi Liang, Qipeng Xie, Jun He, Bohuan Xue, Weizheng Wang, Yuandao Cai, Fei Luo, Boxian Zhang, Haibo Hu, Kaishun Wu

CoRR, April, 2026

AdDetector: Detecting Chinese Advertorials on Social Media Platforms with Textual and Social Information.

Haitao Bai, Pinghui Wang, Ruofei Zhang, Zi Liang, Ziyang Zhou, Zhou Su

ACM Trans. Asian Low Resour. Lang. Inf. Process., March, 2026

How Vulnerable Are Edge LLMs?

Ao Ding, Hongzong Li, Zi Liang, Zhanpeng Shi, Shuxin Zhuang, Shiqin Tang, Rong Feng, Ping Lu

CoRR, March, 2026

How Much Information Can a Vision Token Hold? A Scaling Law for Recognition Limits in VLMs.

Shuxin Zhuang, Zi Liang, Runsheng Yu, Hongzong Li, Rong Feng, Shiqin Tang, Youzhi Zhang

CoRR, February, 2026

FIT: Defying Catastrophic Forgetting in Continual LLM Unlearning.

Xiaoyu Xu, Minxin Du, Kun Fang, Zi Liang, Yaxin Xiao, Zhicong Huang, Cheng Hong, Qingqing Ye, Haibo Hu

CoRR, January, 2026

From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning.

Xiaoyu Xu, Minxin Du, Zitong Li, Zi Liang, Zhibiao Guo, Shiyu Zhang, Peizhao Hu, Qingqing Ye, Haibo Hu

CoRR, January, 2026

Decoding Web Memorization: A Semantic Membership Inference Attack on LLMs.

Zhiyao Wu, Zi Liang, Haibo Hu

Proceedings of the ACM Web Conference 2026, 2026

Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks.

Yaxin Xiao, Qingqing Ye, Zi Liang, Haoyang Li, Ronghua Li, Huadi Zheng, Haibo Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation Under the One-Time-Pad-Based Framework.

Zi Liang, Liantong Yu, Shiyu Zhang, Qingqing Ye, Haibo Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts.

Li Bai, Qingqing Ye, Xinwei Zhang, Sen Zhang, Zi Liang, Jianliang Xu, Haibo Hu

CoRR, October, 2025

Decision Potential Surface: A Theoretical and Practical Approximation of LLM's Decision Boundary.

Zi Liang, Zhiyao Wu, Haoyang Shang, Yulin Jin, Qingqing Ye, Huadi Zheng, Peizhao Hu, Haibo Hu

CoRR, October, 2025

The Matthew Effect of AI Programming Assistants: A Hidden Bias in Software Evolution.

Fei Gu, Zi Liang, Hongzong LI, Jiahao MA

CoRR, September, 2025

Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data.

Zi Liang, Qingqing Ye, Xiang-Yang Alex Liu, Yanyun Wang, Jianliang Xu, Haibo Hu

CoRR, September, 2025

How Vital Is the Jurisprudential Relevance: Law Article-Intervened Legal Case Retrieval and Matching.

Nuo Xu, Pinghui Wang, Zi Liang, Junzhou Zhao, Xiaohong Guan

ACM Trans. Inf. Syst., July, 2025

United Minds or Isolated Agents? Exploring Coordination of LLMs under Cognitive Load Theory.

Haoyang Shang, Xuan Liu, Zi Liang, Jie Zhang, Haibo Hu, Song Guo

CoRR, June, 2025

Unlocking High-Fidelity Learning: Towards Neuron-Grained Model Extraction.

Yaxin Xiao, Haibo Hu, Qingqing Ye, Li Tang, Zi Liang, Huadi Zheng

IEEE Trans. Dependable Secur. Comput., 2025

Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?

Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Ronghua Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Reminiscence Attack on Residuals: Exploiting Approximate Machine Unlearning for Privacy.

Yaxin Xiao, Qingqing Ye, Li Hu, Huadi Zheng, Haibo Hu, Zi Liang, Haoyang Li, Yijie Jiao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Cross-Modal 3D Representation with Multi-View Images and Point Clouds.

Ziyang Zhou, Pinghui Wang, Zi Liang, Haitao Bai, Ruofei Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

EEG-VL: Integrating Visual Features with Large Language Models for Automated Seizure Detection.

Zi Liang, Peng Hu, Lian Li, Zebang Cheng, Yisu Dong, Haibo He, Qiang Lu, Nan Lin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

"Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation.

Zi Liang, Qingqing Ye, Yanyun Wang, Sen Zhang, Yaxin Xiao, Ronghua Li, Jianliang Xu, Haibo Hu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Exploring Intrinsic Alignments Within Text Corpus.

Zi Liang, Pinghui Wang, Ruofei Zhang, Haibo Hu, Shuo Zhang, Qingqing Ye, Nuo Xu, Yaxin Xiao, Chen Zhang, Lizhen Cui

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

vEpiNet: A multimodal interictal epileptiform discharge detection method based on video and electroencephalogram data.

Nan Lin, Weifang Gao, Lian Li, Junhui Chen, Zi Liang, Gonglin Yuan, Heyang Sun, Qing Li, Jianhua Chen, Liri Jin, Yan Huang, Xiangqin Zhou, Shaobo Zhang, Peng Hu, Chaoyue Dai, Haibo He, Yisu Dong, Liying Cui, Qiang Lu

Neural Networks, 2024

New Paradigm of Adversarial Training: Breaking Inherent Trade-Off between Accuracy and Robustness via Dummy Classes.

Yanyun Wang, Li Liu, Zi Liang, Qingqing Ye, Haibo Hu

CoRR, 2024

Alignment-Aware Model Extraction Attacks on Large Language Models.

Zi Liang, Qingqing Ye, Yanyun Wang, Sen Zhang, Yaxin Xiao, Ronghua Li, Jianliang Xu, Haibo Hu

CoRR, 2024

Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models.

Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Haoyang Li

CoRR, 2024

PAIR: Pre-denosing Augmented Image Retrieval Model for Defending Adversarial Patches.

Ziyang Zhou, Pinghui Wang, Zi Liang, Ruofei Zhang, Haitao Bai

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

TSFool: Crafting Highly-Imperceptible Adversarial Time Series Through Multi-Objective Attack.

Yanyun Wang, Dehui Du, Haibo Hu, Zi Liang, Yuanhao Liu

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

MERGE: Fast Private Text Generation.

Zi Liang, Pinghui Wang, Ruofei Zhang, Nuo Xu, Shuo Zhang, Lifeng Xing, Haitao Bai, Ziyang Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MERGE: Fast Private Text Generation.

Zi Liang, Pinghui Wang, Ruofei Zhang, Nuo Xu, Shuo Zhang

CoRR, 2023

Healing Unsafe Dialogue Responses with Weak Supervision Signals.

Zi Liang, Pinghui Wang, Ruofei Zhang, Shuo Zhang, Xiaofan Ye, Yi Huang, Junlan Feng

CoRR, 2023

Multi-Action Dialog Policy Learning from Logged User Feedback.

Shuo Zhang, Junzhou Zhao, Pinghui Wang, Tianxiang Wang, Zi Liang, Jing Tao, Yi Huang, Junlan Feng

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2018

Automatic Identification of Performance Bottleneck for A Complex Rendering System through Big Data.

Yanci Zhang, Zi Liang, Xiaoyao Li, Wenjie Ren, Yanli Liu

Proceedings of Computer Graphics International 2018, 2018

2016

SpongeNet: Towards bandwidth guarantees of cloud datacenter with two-phase VM placement.

Hui Yu, Jiahai Yang, Cong Xu, Hui Wang, Zi Liang

Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016