Yingqian Cui

According to our database, Yingqian Cui authored at least 25 papers between 2023 and 2026.

Collaborative distances:

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

2026

Crafting Reversible SFT Behaviors in Large Language Models.

Yuping Lin, Pengfei He, Yue Xing, Yingqian Cui, Jiayuan Ding, Subhabrata Mukherjee, Hui Liu, Zhen Xiang

CoRR, May, 2026

How Do Latent Reasoning Methods Perform Under Weak and Strong Supervision?

Yingqian Cui, Zhenwei Dai, Bing He, Zhan Shi, Hui Liu, Rui Sun, Zhiji Liu, Yue Xing, Jiliang Tang, Benoît Dumoulin

CoRR, February, 2026

Retrieval Heads are Dynamic.

Yuping Lin, Zitao Li, Yue Xing, Pengfei He, Yingqian Cui, Yaliang Li, Bolin Ding, Jingren Zhou, Jiliang Tang

CoRR, February, 2026

2025

Adaptive Test-Time Reasoning via Reward-Guided Dual-Phase Search.

Yingqian Cui, Zhenwei Dai, Pengfei He, Bing He, Hui Liu, Xianfeng Tang, Jingying Zeng, Suhang Wang, Yue Xing, Jiliang Tang, Benoît Dumoulin

CoRR, September, 2025

SoK: Machine Unlearning for Large Language Models.

Jie Ren, Yue Xing, Yingqian Cui, Charu C. Aggarwal, Hui Liu

CoRR, June, 2025

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models.

Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zheng Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He

CoRR, February, 2025

Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models.

Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu

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

Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression.

Yingqian Cui, Jie Ren, Pengfei He, Hui Liu, Jiliang Tang, Yue Xing

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration.

Yingqian Cui, Pengfei He, Xianfeng Tang, Qi He, Chen Luo, Jiliang Tang, Yue Xing

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models.

Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

DiffusionShield: A Watermark for Data Copyright Protection against Generative Diffusion Models.

Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Yue Xing, Jiliang Tang

SIGKDD Explor., December, 2024

FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models.

Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Lingjuan Lyu, Wenqi Fan, Hui Liu, Jiliang Tang

SIGKDD Explor., December, 2024

Stealthy Backdoor Attack via Confidence-driven Sampling.

Pengfei He, Yue Xing, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou

Trans. Mach. Learn. Res., 2024

Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study.

Pengfei He, Yingqian Cui, Han Xu, Hui Liu, Makoto Yamada, Jiliang Tang, Yue Xing

CoRR, 2024

Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models.

Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu

CoRR, 2024

EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations.

Jie Ren, Yingqian Cui, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu

CoRR, 2024

Copyright Protection in Generative AI: A Technical Perspective.

Jie Ren, Han Xu, Pengfei He, Yingqian Cui, Shenglai Zeng, Jiankun Zhang, Hongzhi Wen, Jiayuan Ding, Hui Liu, Yi Chang, Jiliang Tang

CoRR, 2024

Superiority of Multi-Head Attention in In-Context Linear Regression.

Yingqian Cui, Jie Ren, Pengfei He, Jiliang Tang, Yue Xing

CoRR, 2024

A Robust Semantics-based Watermark for Large Language Model against Paraphrasing.

Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Sharpness-Aware Data Poisoning Attack.

Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Generalization of Training-based ChatGPT Detection Methods.

Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Confidence-driven Sampling for Backdoor Attacks.

Pengfei He, Han Xu, Yue Xing, Jie Ren, Yingqian Cui, Shenglai Zeng, Jiliang Tang, Makoto Yamada, Mohammad Sabokrou

CoRR, 2023

FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models.

Yingqian Cui, Jie Ren, Yuping Lin, Han Xu, Pengfei He, Yue Xing, Wenqi Fan, Hui Liu, Jiliang Tang

CoRR, 2023

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models.

Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Jiliang Tang

CoRR, 2023

Sharpness-Aware Data Poisoning Attack.

Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Hui Liu, Charu C. Aggarwal, Jiliang Tang

CoRR, 2023