Yao Zhu - RankMe

45 papers A* 10Misc 1Journal 31Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Dual-Seed Evolutionary Algorithm for Noise Optimization in Diffusion Models. AAAI Yuzheng Tan, Yuan He, Yao Zhu, Tianlin Huo, Huanqian Yan, Hang Su, Shuxin Zhang, Guangneng Hu
2026	J	`jnl`	Enhancing out-of-distribution detection with bilateral distribution score. Neural Networks Bolun Zheng, Yuhao Lin, Yao Zhu, Quan Chen, Canjin Wang
2026	—	`conf`	HAROOD: A Benchmark for Out-of-distribution Generalization in Sensor-based Human Activity Recognition. KDD (1) Wang Lu, Yao Zhu, Jindong Wang
2026	J	`jnl`	ONRW: Optimizing inversion noise for high-quality and robust watermark. CoRR Xuan Ding, Xiu Yan, Chuanlong Xie, Yao Zhu
2026	J	`jnl`	Pruning as a Cooperative Game: Surrogate-Assisted Layer Contribution Estimation for Large Language Models. CoRR Xuan Ding, Pengyu Tong, Ranjie Duan, Yunjian Zhang, Rui Sun, Yao Zhu
2026	A*	`conf`	Sliding-Window Merging for Compacting Patch-Redundant Layers in LLMs. AAAI Xuan Ding, Rui Sun, Yunjian Zhang, Xiu Yan, Yueqi Zhou, Kaihao Huang, Suzhong Fu, Angelica I. Avilés-Rivero, Chuanlong Xie, Yao Zhu
2026	J	`jnl`	Sparse adversarial attack via robust attack points selection. Pattern Recognit. Yunjian Zhang, Yanwei Liu, Jianing Li, Enci Liu, Yao Zhu, Antonios Argyriou
2025	J	`jnl`	A Sliding Layer Merging Method for Efficient Depth-Wise Pruning in LLMs. CoRR Xuan Ding, Yao Zhu, Yunjian Zhang, Chuanlong Xie
2025	A*	`conf`	An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques. AAAI Chunxiao Li, Xiaoxiao Wang, Boming Miao, Chuanlong Xie, Zizhe Wang, Yao Zhu
2025	J	`jnl`	Boosting Dataset Distillation With the Assistance of Crucial Samples for Visual Learning. IEEE Trans. Multim. Xiaodan Li, Yao Zhu, Yuefeng Chen, Cen Chen, Jianmei Guo, Shuhui Wang
2025	J	`jnl`	DipSVD: Dual-importance Protected SVD for Efficient LLM Compression. CoRR Xuan Ding, Rui Sun, Yunjian Zhang, Xiu Yan, Yueqi Zhou, Kaihao Huang, Suzhong Fu, Chuanlong Xie, Yao Zhu
2025	J	`jnl`	Enhancing Few-Shot CLIP With Semantic-Aware Fine-Tuning. IEEE Trans. Neural Networks Learn. Syst. Yao Zhu, Yuefeng Chen, Xiaofeng Mao, Xiu Yan, Yue Wang, Wang Lu, Jindong Wang, Xiangyang Ji
2025	J	`jnl`	Enhancing the Robustness of Vision-Language Foundation Models by Alignment Perturbation. IEEE Trans. Inf. Forensics Secur. Cong Zhang, Shuhui Wang, Xiaodan Li, Yao Zhu, Honggang Qi, Qingming Huang
2025	J	`jnl`	Kelp: A Streaming Safeguard for Large Models via Latent Dynamics-Guided Risk Detection. CoRR Xiaodan Li, Mengjie Wu, Yao Zhu, Yunna Lv, Yuefeng Chen, Cen Chen, Jianmei Guo, Hui Xue
2025	J	`jnl`	Patchwise Cooperative Game-based Interpretability Method for Large Vision-language Models. Trans. Assoc. Comput. Linguistics Yao Zhu, Yunjian Zhang, Zizhe Wang, Xiu Yan, Peng Sun, Xiangyang Ji
2025	J	`jnl`	Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application. ACM Trans. Intell. Syst. Technol. Chuanpeng Yang, Yao Zhu, Wang Lu, Yidong Wang, Qian Chen, Chenlong Gao, Bingjie Yan, Yiqiang Chen
2025	J	`jnl`	Towards Boosting Out-of-Distribution Detection from a Spatial Feature Importance Perspective. Int. J. Comput. Vis. Yao Zhu, Xiu Yan, Chuanlong Xie
2025	A*	`conf`	Towards Understanding How Knowledge Evolves in Large Vision-Language Models. CVPR Sudong Wang, Yunjian Zhang, Yao Zhu, Jianing Li, Zizhe Wang, Yanwei Liu, Xiangyang Ji
2025	—	`conf`	VesSAM: Efficient Multi-Prompting for Segmenting Complex Vessel. BIBM 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
2025	J	`jnl`	VesSAM: Efficient Multi-Prompting for Segmenting Complex Vessel. CoRR 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
2024	J	`jnl`	AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models. CoRR Boming Miao, Chunxiao Li, Yao Zhu, Weixiang Sun, Zizhe Wang, Xiaoyi Wang, Chuanlong Xie
2024	J	`jnl`	An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques. CoRR Chunxiao Li, Xiaoxiao Wang, Boming Miao, Chuanlong Xie, Zizhe Wang, Yao Zhu
2024	J	`jnl`	Rethinking Out-of-Distribution Detection From a Human-Centric Perspective. Int. J. Comput. Vis. Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Rongxin Jiang, Bolun Zheng, Yaowu Chen
2024	J	`jnl`	Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application. CoRR Chuanpeng Yang, Wang Lu, Yao Zhu, Yidong Wang, Qian Chen, Chenlong Gao, Bingjie Yan, Yiqiang Chen
2024	—	`conf`	Unleashing the Potential of Large Language Models through Spectral Modulation. EMNLP (Findings) Peng Sun, Yao Zhu, Yunjian Zhang, Xiu Yan, Zizhe Wang, Xiangyang Ji
2023	A*	`conf`	COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts. ICCV Xiaofeng Mao, Yuefeng Chen, Yao Zhu, Da Chen, Hang Su, Rong Zhang, Hui Xue
2023	J	`jnl`	COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts. CoRR Xiaofeng Mao, Yuefeng Chen, Yao Zhu, Da Chen, Hang Su, Rong Zhang, Hui Xue
2023	J	`jnl`	Enhancing Few-shot CLIP with Semantic-Aware Fine-Tuning. CoRR Yao Zhu, Yuefeng Chen, Wei Wang, Xiaofeng Mao, Xiu Yan, Yue Wang, Zhigang Li, Wang Lu, Jindong Wang, Xiangyang Ji
2023	A*	`conf`	ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing. CVPR Xiaodan Li, Yuefeng Chen, Yao Zhu, Shuhui Wang, Rong Zhang, Hui Xue
2023	J	`jnl`	ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing. CoRR Xiaodan Li, Yuefeng Chen, Yao Zhu, Shuhui Wang, Rong Zhang, Hui Xue
2023	A*	`conf`	Inequality phenomenon in l ICLR Ranjie Duan, Yuefeng Chen, Yao Zhu, Xiaojun Jia, Rong Zhang, Hui Xue
2023	J	`jnl`	Information-Containing Adversarial Perturbation for Combating Facial Manipulation Systems. IEEE Trans. Inf. Forensics Secur. Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Xiang Tian, Bolun Zheng, Yaowu Chen
2023	J	`jnl`	Information-containing Adversarial Perturbation for Combating Facial Manipulation Systems. CoRR Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Xiang Tian, Bolun Zheng, Yaowu Chen
2023	J	`jnl`	SR-OOD: Out-of-Distribution Detection via Sample Repairing. CoRR Rui Sun, Andi Zhang, Haiming Zhang, Yao Zhu, Ruimao Zhang, Zhen Li
2023	J	`jnl`	TransAudio: Towards the Transferable Adversarial Audio Attack via Learning Contextualized Perturbations. CoRR Gege Qi, Yuefeng Chen, Xiaofeng Mao, Yao Zhu, Binyuan Hui, Xiaodan Li, Rong Zhang, Hui Xue
2023	Misc	`conf`	Transaudio: Towards the Transferable Adversarial Audio Attack Via Learning Contextualized Perturbations. ICASSP Gege Qi, Yuefeng Chen, Yao Zhu, Binyuan Hui, Xiaodan Li, Xiaofeng Mao, Rong Zhang, Hui Xue
2022	A*	`conf`	Boosting Out-of-distribution Detection with Typical Features. NeurIPS Yao Zhu, Yuefeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Bolun Zheng, Yaowu Chen
2022	J	`jnl`	Boosting Out-of-distribution Detection with Typical Features. CoRR Yao Zhu, Yuefeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Bolun Zheng, Yaowu Chen
2022	A*	`conf`	Enhance the Visual Representation via Discrete Adversarial Training. NeurIPS Xiaofeng Mao, Yuefeng Chen, Ranjie Duan, Yao Zhu, Gege Qi, Shaokai Ye, Xiaodan Li, Rong Zhang, Hui Xue
2022	J	`jnl`	Enhance the Visual Representation via Discrete Adversarial Training. CoRR Xiaofeng Mao, Yuefeng Chen, Ranjie Duan, Yao Zhu, Gege Qi, Shaokai Ye, Xiaodan Li, Rong Zhang, Hui Xue
2022	J	`jnl`	Rethinking Out-of-Distribution Detection From a Human-Centric Perspective. CoRR Yao Zhu, Yuefeng Chen, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Rongxin Jiang, Bolun Zheng, Yaowu Chen
2022	J	`jnl`	Toward Understanding and Boosting Adversarial Transferability From a Distribution Perspective. IEEE Trans. Image Process. Yao Zhu, Yuefeng Chen, Xiaodan Li, Kejiang Chen, Yuan He, Xiang Tian, Bolun Zheng, Yaowu Chen, Qingming Huang
2022	J	`jnl`	Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective. CoRR Yao Zhu, Yuefeng Chen, Xiaodan Li, Kejiang Chen, Yuan He, Xiang Tian, Bolun Zheng, Yaowu Chen, Qingming Huang
2021	A*	`conf`	Towards Understanding the Generative Capability of Adversarially Robust Classifiers. ICCV Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Yaowu Chen, Zhenguo Li
2021	J	`jnl`	Towards Understanding the Generative Capability of Adversarially Robust Classifiers. CoRR Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Zhenguo Li