Yize Li

PhD student, Northeastern University

Joined

May 2021

Names

Yize Li (Preferred)

Emails

****@northeastern.edu (Confirmed)

Personal Links

Google Scholar

Semantic Scholar

Career & Education History

PhD student

Northeastern University (neu.edu)

2021 – Present

MS student

Northeastern University (neu.edu)

2019 – 2021

Advisors, Relations & Conflicts

PhD Advisor

Xue Lin

2020 – Present

Expertise

Trustworthy Generative AI

2023 – Present

Efficient AI

2022 – Present

Adversarial Robustness

2021 – Present

Publications

Diff-StyGS: 3D Gaussian Splatting Stylization via Tuning-Free Multi-View Sparse Diffusion
Yize Li, Lei Lu, Zhenglun Kong, Lin Zhao, Yanzhi Wang, Pu Zhao, Xue Lin
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Token Reduction Should Go Beyond Efficiency in Generative Models - From Vision, Language to Multimodality
Zhenglun Kong, Yize Li, Fanhu Zeng, Lei Xin, Shvat Messica, Xue Lin, Pu Zhao, Manolis Kellis, Hao Tang, Marinka Zitnik
- CoRR 2025
- Readers: Everyone
HDCompression: Hybrid-Diffusion Image Compression for Ultra-Low Bitrates
Lei Lu, Yize Li, Yanzhi Wang, Wei Wang, Wei Jiang
- CoRR 2025
- Readers: Everyone
Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models
Yize Li, Yihua Zhang, Sijia Liu, Xue Lin
- ICASSP 2025
- Readers: Everyone
FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts
Changdi Yang, Zheng Zhan, Ci Zhang, Yifan Gong, Yize Li, Zichong Meng, Jun Liu, Xuan Shen, Hao Tang, Geng Yuan, Pu Zhao, Xue Lin, Yanzhi Wang
- IJCAI 2025
- Readers: Everyone
Less is More: Data Pruning for Faster Adversarial Training
Yize Li, Pu Zhao, Xue Lin, Bhavya Kailkhura, Ryan Goldhahn
- 2023 (modified: 21 Apr 2023)
- CoRR 2023
- Readers: Everyone
Less is More: Data Pruning for Faster Adversarial Training
Yize Li, Pu Zhao, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn
- Published: 01 Jan 2023, Last Modified: 04 Oct 2023
- SafeAI@AAAI 2023
- Readers: Everyone
Efficient Multi-Prize Lottery Tickets: Enhanced Accuracy, Training, and Inference Speed
Hao Cheng, Pu Zhao, Yize Li, Xue Lin, James Diffenderfer, Ryan A. Goldhahn, Bhavya Kailkhura
- 2022 (modified: 12 Nov 2022)
- CoRR 2022
- Readers: Everyone
Reverse Engineering of Imperceptible Adversarial Image Perturbations
Yifan Gong, Yuguang Yao, Yize Li, Yimeng Zhang, Xiaoming Liu, Xue Lin, Sijia Liu
- 2022 (modified: 15 Nov 2022)
- ICLR 2022
- Readers: Everyone

View all 11 publications

Co-Authors

View all 32 co-authors