Yao Zhu

According to our database, Yao Zhu authored at least 38 papers between 2021 and 2026.

Collaborative distances:

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

2026

Pruning as a Cooperative Game: Surrogate-Assisted Layer Contribution Estimation for Large Language Models.

Xuan Ding, Pengyu Tong, Ranjie Duan, Yunjian Zhang, Rui Sun, Yao Zhu

CoRR, February, 2026

ONRW: Optimizing inversion noise for high-quality and robust watermark.

Xuan Ding, Xiu Yan, Chuanlong Xie, Yao Zhu

CoRR, January, 2026

Sparse adversarial attack via robust attack points selection.

Yunjian Zhang, Yanwei Liu, Jianing Li, Enci Liu, Yao Zhu, Antonios Argyriou

Pattern Recognit., 2026

Enhancing out-of-distribution detection with bilateral distribution score.

Bolun Zheng, Yuhao Lin, Yao Zhu, Quan Chen, Canjin Wang

Neural Networks, 2026

HAROOD: A Benchmark for Out-of-distribution Generalization in Sensor-based Human Activity Recognition.

Wang Lu, Yao Zhu, Jindong Wang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Dual-Seed Evolutionary Algorithm for Noise Optimization in Diffusion Models.

Yuzheng Tan, Yuan He, Yao Zhu, Tianlin Huo, Huanqian Yan, Hang Su, Shuxin Zhang, Guangneng Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Sliding-Window Merging for Compacting Patch-Redundant Layers in LLMs.

Xuan Ding, Rui Sun, Yunjian Zhang, Xiu Yan, Yueqi Zhou, Kaihao Huang, Suzhong Fu, Angelica I. Avilés-Rivero, Chuanlong Xie, Yao Zhu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application.

Chuanpeng Yang, Yao Zhu, Wang Lu, Yidong Wang, Qian Chen, Chenlong Gao, Bingjie Yan, Yiqiang Chen

ACM Trans. Intell. Syst. Technol., December, 2025

Kelp: A Streaming Safeguard for Large Models via Latent Dynamics-Guided Risk Detection.

Xiaodan Li, Mengjie Wu, Yao Zhu, Yunna Lv, Yuefeng Chen, Cen Chen, Jianmei Guo, Hui Xue

CoRR, October, 2025

Enhancing Few-Shot CLIP With Semantic-Aware Fine-Tuning.

Yao Zhu, Yuefeng Chen, Xiaofeng Mao, Xiu Yan, Yue Wang, Wang Lu, Jindong Wang, Xiangyang Ji

IEEE Trans. Neural Networks Learn. Syst., July, 2025

Towards Boosting Out-of-Distribution Detection from a Spatial Feature Importance Perspective.

Yao Zhu, Xiu Yan, Chuanlong Xie

Int. J. Comput. Vis., July, 2025

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression.

Xuan Ding, Rui Sun, Yunjian Zhang, Xiu Yan, Yueqi Zhou, Kaihao Huang, Suzhong Fu, Chuanlong Xie, Yao Zhu

CoRR, June, 2025

A Sliding Layer Merging Method for Efficient Depth-Wise Pruning in LLMs.

Xuan Ding, Yao Zhu, Yunjian Zhang, Chuanlong Xie

CoRR, February, 2025

Boosting Dataset Distillation With the Assistance of Crucial Samples for Visual Learning.

Xiaodan Li, Yao Zhu, Yuefeng Chen, Cen Chen, Jianmei Guo, Shuhui Wang

IEEE Trans. Multim., 2025

Enhancing the Robustness of Vision-Language Foundation Models by Alignment Perturbation.

Cong Zhang, Shuhui Wang, Xiaodan Li, Yao Zhu, Honggang Qi, Qingming Huang

IEEE Trans. Inf. Forensics Secur., 2025

Patchwise Cooperative Game-based Interpretability Method for Large Vision-language Models.

Yao Zhu, Yunjian Zhang, Zizhe Wang, Xiu Yan, Peng Sun, Xiangyang Ji

Trans. Assoc. Comput. Linguistics, 2025

SHIFT: Smoothing Hallucinations by Information Flow Tuning for Multimodal Large Language Models.

Sudong Wang, Yunjian Zhang, Yao Zhu, Enci Liu, Jianing Li, Yanwei Liu, Xiangyang Ji

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

Towards Annotation-Free Evaluation: KPAScore for Human Keypoint Detection.

Xiaoxiao Wang, Chunxiao Li, Peng Sun, Boming Miao, Yunjian Zhang, Yao Zhu

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

Bridging the Gap Between Ideal and Real-World Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios.

Chunxiao Li, Xiaoxiao Wang, Meiling Li, Boming Miao, Peng Sun, Yunjian Zhang, Xiangyang Ji, Yao Zhu

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

Towards Understanding How Knowledge Evolves in Large Vision-Language Models.

Sudong Wang, Yunjian Zhang, Yao Zhu, Jianing Li, Zizhe Wang, Yanwei Liu, Xiangyang Ji

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

VesSAM: Efficient Multi-Prompting for Segmenting Complex Vessel.

Suzhong Fu, Rui Sun, Xuan Ding, Jingqi Dong, Yiming Yang, Yao Zhu, Min Chang Jordan Ren, Delin Deng, Angelica I. Avilés-Rivero, Shuguang Cui, Zhen Li

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

An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques.

Chunxiao Li, Xiaoxiao Wang, Boming Miao, Chuanlong Xie, Zizhe Wang, Yao Zhu

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

2024

Rethinking Out-of-Distribution Detection From a Human-Centric Perspective.

Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Rongxin Jiang, Bolun Zheng, Yaowu Chen

Int. J. Comput. Vis., October, 2024

AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models.

Boming Miao, Chunxiao Li, Yao Zhu, Weixiang Sun, Zizhe Wang, Xiaoyi Wang, Chuanlong Xie

CoRR, 2024

Unleashing the Potential of Large Language Models through Spectral Modulation.

Peng Sun, Yao Zhu, Yunjian Zhang, Xiu Yan, Zizhe Wang, Xiangyang Ji

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

2023

Information-Containing Adversarial Perturbation for Combating Facial Manipulation Systems.

Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Xiang Tian, Bolun Zheng, Yaowu Chen

IEEE Trans. Inf. Forensics Secur., 2023

Enhancing Few-shot CLIP with Semantic-Aware Fine-Tuning.

Yao Zhu, Yuefeng Chen, Wei Wang, Xiaofeng Mao, Xiu Yan, Yue Wang, Zhigang Li, Wang Lu, Jindong Wang, Xiangyang Ji

CoRR, 2023

SR-OOD: Out-of-Distribution Detection via Sample Repairing.

Rui Sun, Andi Zhang, Haiming Zhang, Yao Zhu, Ruimao Zhang, Zhen Li

CoRR, 2023

Inequality phenomenon in l_∞-adversarial training, and its unrealized threats.

Ranjie Duan, Yuefeng Chen, Yao Zhu, Xiaojun Jia, Rong Zhang, Hui Xue

Proceedings of the Eleventh International Conference on Learning Representations, 2023

COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts.

Xiaofeng Mao, Yuefeng Chen, Yao Zhu, Da Chen, Hang Su, Rong Zhang, Hui Xue

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Transaudio: Towards the Transferable Adversarial Audio Attack Via Learning Contextualized Perturbations.

Gege Qi, Yuefeng Chen, Yao Zhu, Binyuan Hui, Xiaodan Li, Xiaofeng Mao, Rong Zhang, Hui Xue

Proceedings of the IEEE International Conference on Acoustics, 2023

ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing.

Xiaodan Li, Yuefeng Chen, Yao Zhu, Shuhui Wang, Rong Zhang, Hui Xue

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective.

Yao Zhu, Yuefeng Chen, Xiaodan Li, Kejiang Chen, Yuan He, Xiang Tian, Bolun Zheng, Yaowu Chen, Qingming Huang

IEEE Trans. Image Process., 2022

Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective.

Yao Zhu, Yuefeng Chen, Xiaodan Li, Kejiang Chen, Yuan He, Xiang Tian, Bolun Zheng, Yaowu Chen, Qingming Huang

CoRR, 2022

Boosting Out-of-distribution Detection with Typical Features.

Yao Zhu, Yuefeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Bolun Zheng, Yaowu Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Enhance the Visual Representation via Discrete Adversarial Training.

Xiaofeng Mao, Yuefeng Chen, Ranjie Duan, Yao Zhu, Gege Qi, Shaokai Ye, Xiaodan Li, Rong Zhang, Hui Xue

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Towards Understanding the Generative Capability of Adversarially Robust Classifiers.

Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Zhenguo Li

CoRR, 2021

Towards Understanding the Generative Capability of Adversarially Robust Classifiers.

Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Yaowu Chen, Zhenguo Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021