Zhu, Zhiyu

21 publications

CVPR 2025 Acc3D: Accelerating Single Image to 3D Diffusion Models via Edge Consistency Guided Score Distillation Kendong Liu, Zhiyu Zhu, Hui Liu, Junhui Hou

UAI 2025 Improving Adversarial Transferability via Decision Boundary Adaptation Jiayu Zhang, Zhiyu Zhu, Zhibo Jin, Xinyi Wang, Huaming Chen, Kim-Kwang Raymond Choo

ICLR 2025 NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer Meng You, Zhiyu Zhu, Hui Liu, Junhui Hou

ICLR 2025 Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Nan Yang, Jiahao Huang, Jianlong Zhou, Fang Chen

ECML-PKDD 2025 PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Silin Liao, Zhibo Jin, Flora Salim, Huaming Chen

ICLR 2025 ParaSolver: A Hierarchical Parallel Integral Solver for Diffusion Models Jianrong Lu, Zhiyu Zhu, Junhui Hou

ICML 2025 Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution Jiayu Zhang, Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jianlong Zhou, Fang Chen, Huaming Chen

ICLR 2024 AttEXplore: Attribution for Explanation with Model Parameters eXploration Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Jason Xue, Flora D. Salim

NeurIPS 2024 E-Motion: Future Motion Simulation via Event Sequence Diffusion Song Wu, Zhiyu Zhu, Junhui Hou, Guangming Shi, Jinjian Wu

ICLR 2024 Enhancing Transferable Adversarial Attacks on Vision Transformers Through Gradient Normalization Scaling and High-Frequency Adaptation Zhiyu Zhu, Xinyi Wang, Zhibo Jin, Jiayu Zhang, Huaming Chen

ICML 2024 Iterative Search Attribution for Deep Neural Networks Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Jason Xue, Jun Shen

AAAI 2024 MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo

NeurIPS 2024 PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference Kendong Liu, Zhiyu Zhu, Chuanhao Li, Hui Liu, Huanqiang Zeng, Junhui Hou

CVPR 2024 Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens Zhiwen Chen, Zhiyu Zhu, Yifan Zhang, Junhui Hou, Guangming Shi, Jinjian Wu

ICCV 2023 Cross-Modal Orthogonal High-Rank Augmentation for RGB-Event Transformer-Trackers Zhiyu Zhu, Junhui Hou, Dapeng Oliver Wu

NeurIPS 2023 Global Structure-Aware Diffusion Process for Low-Light Image Enhancement Jinhui Hou, Zhiyu Zhu, Junhui Hou, Hui Liu, Huanqiang Zeng, Hui Yuan

ECML-PKDD 2023 Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Xinyi Wang, Minhui Xue, Jun Shen, Kim-Kwang Raymond Choo, Huaming Chen

NeurIPS 2022 Learning Graph-Embedded Key-Event Back-Tracing for Object Tracking in Event Clouds Zhiyu Zhu, Junhui Hou, Xianqiang Lyu

CVPR 2021 CorrNet3D: Unsupervised End-to-End Learning of Dense Correspondence for 3D Point Clouds Yiming Zeng, Yue Qian, Zhiyu Zhu, Junhui Hou, Hui Yuan, Ying He

ICCV 2021 Semantic-Embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild Zhiyu Zhu, Hui Liu, Junhui Hou, Huanqiang Zeng, Qingfu Zhang

CVPRW 2020 NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham D. Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu Zhu, Junhui Hou, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed H. Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan Sabarinathan, K. Uma, D. Synthiya Vinothini, B. Sathya Bama, S. M. Md Mansoor Roomi