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ORCIDZheyuan Liu 0010
Person information
- unicode name: 刘哲源
- affiliation: University of Notre Dame, IN, USA
- affiliation: Brandeis University, MA, USA
Other persons with the same name
- Zheyuan Liu 0001 — The Third Research Institute of the Ministry of Public Security, Shanghai, China
- Zheyuan Liu 0002
![[0009-0002-3666-1778]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0009-0002-3666-1778")
— University of Adelaide, Australian Institute for Machine Learning, Australia (and 1 more) - Zheyuan Liu 0003 — University of Virginia, VA, USA
- Zheyuan Liu 0004 — University of Alberta, Edmonton, AB, Canada
- Zheyuan Liu 0005 — Nanjing University of Posts and Telecommunications, Nanjing, China
- Zheyuan Liu 0006 — University of Pennsylvania, PA, USA
- Zheyuan Liu 0007 — University of Delaware, Newark, DE, USA
- Zheyuan Liu 0008 — Central South University, School of Computer Science and Engineering, Changsha, China
- Zheyuan Liu 0009 — Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China
- Zheyuan Liu 0011 — Shanghai Jiao Tong University, China
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2020 – today
- 2024
[c9]Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang:
Towards Safer Large Language Models through Machine Unlearning. ACL (Findings) 2024: 1817-1829- [c8]Zhiding Liang, Gang Liu, Zheyuan Liu, Jinglei Cheng, Tianyi Hao, Kecheng Liu, Hang Ren, Zhixin Song, Ji Liu, Fanny Ye, Yiyu Shi:
Invited: Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm. DAC 2024: 361:1-361:4 - [c7]Zhaoxuan Tan, Zheyuan Liu, Meng Jiang:
Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts. EMNLP 2024: 6459-6475 - [c6]Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang:
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning. EMNLP 2024: 6476-6491 - [c5]Zheyuan Liu, Xiaoxin He, Yijun Tian, Nitesh V. Chawla:
Can we Soft Prompt LLMs for Graph Learning Tasks? WWW (Companion Volume) 2024: 481-484 - [c4]Zheyuan Liu, Guangyao Dou, Eli Chien, Chunhui Zhang, Yijun Tian, Ziwei Zhu:
Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning. WWW 2024: 1260-1271 - [i9]Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang:
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning. CoRR abs/2402.04401 (2024) - [i8]Yijun Tian, Chuxu Zhang, Ziyi Kou, Zheyuan Liu, Xiangliang Zhang, Nitesh V. Chawla:
UGMAE: A Unified Framework for Graph Masked Autoencoders. CoRR abs/2402.08023 (2024) - [i7]Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang:
Towards Safer Large Language Models through Machine Unlearning. CoRR abs/2402.10058 (2024) - [i6]Zheyuan Liu, Xiaoxin He, Yijun Tian, Nitesh V. Chawla:
Can we Soft Prompt LLMs for Graph Learning Tasks? CoRR abs/2402.10359 (2024) - [i5]Zhiding Liang, Gang Liu, Zheyuan Liu, Jinglei Cheng, Tianyi Hao, Kecheng Liu, Hang Ren, Zhixin Song, Ji Liu, Fanny Ye, Yiyu Shi:
Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm. CoRR abs/2403.03310 (2024) - [i4]Zhaoxuan Tan, Zheyuan Liu, Meng Jiang:
Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts. CoRR abs/2406.10471 (2024) - [i3]Guangyao Dou, Zheyuan Liu, Qing Lyu, Kaize Ding, Eric Wong:
Avoiding Copyright Infringement via Machine Unlearning. CoRR abs/2406.10952 (2024) - [i2]Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang:
Machine Unlearning in Generative AI: A Survey. CoRR abs/2407.20516 (2024) - 2023
- [c3]Chunhui Zhang, Yijun Tian, Mingxuan Ju, Zheyuan Liu, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang:
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization. ICLR 2023 - [c2]Zheyuan Liu, Chunhui Zhang, Yijun Tian, Erchi Zhang, Chao Huang, Yanfang Ye, Chuxu Zhang:
Fair Graph Representation Learning via Diverse Mixture-of-Experts. WWW 2023: 28-38 - [i1]Zheyuan Liu, Guangyao Dou, Yijun Tian, Chunhui Zhang, Eli Chien, Ziwei Zhu:
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning. CoRR abs/2310.18574 (2023) - 2022
- [c1]Jiele Wu, Chunhui Zhang, Zheyuan Liu, Erchi Zhang, Steven Wilson, Chuxu Zhang:
GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media. ICDM 2022: 548-557
Coauthor Index
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