Ziyu Jiang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 38

Top Topics

Convolutional Neural Network

Digital Watermark

Machine Learning Methods

Top Venues

Publications

Ziyu Jiang, Hongxia Wang, SongYuan Han
A robust PDF watermarking scheme with versatility and compatibility. Multim. Tools Appl. 83 (24) (2024)
Shanlin Sun, Bingbing Zhuang, Ziyu Jiang, Buyu Liu, Xiaohui Xie, Manmohan Chandraker
LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes. CoRR (2024)
Ziyu Jiang, Guoqing Zheng, Yu Cheng, Ahmed Hassan Awadallah, Zhangyang Wang
CR-MoE: Consistent Routed Mixture-of-Experts for Scaling Contrastive Learning. Trans. Mach. Learn. Res. 2024 (2024)
Yingwei Ge, Bingxuan Guo, Peishuai Zha, San Jiang, Ziyu Jiang, Demin Li
3D Reconstruction of Ancient Buildings Using UAV Images and Neural Radiation Field with Depth Supervision. Remote. Sens. 16 (3) (2024)
Xiao Yang, Kai Sun, Hao Xin, Yushi Sun, Nikita Bhalla, Xiangsen Chen, Sajal Choudhary, Rongze Daniel Gui, Ziran Will Jiang, Ziyu Jiang, Lingkun Kong, Brian Moran, Jiaqi Wang, Yifan Ethan Xu, An Yan, Chenyu Yang, Eting Yuan, Hanwen Zha, Nan Tang, Lei Chen, Nicolas Scheffer, Yue Liu, Nirav Shah, Rakesh Wanga, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
CRAG - Comprehensive RAG Benchmark. CoRR (2024)
Hongru Yang, Ziyu Jiang, Ruizhe Zhang, Zhangyang Wang, Yingbin Liang
Sharper analysis of sparsely activated wide neural networks with trainable biases. CoRR (2023)
Ziyu Jiang, Yinpeng Chen, Mengchen Liu, Dongdong Chen, Xiyang Dai, Lu Yuan, Zicheng Liu, Zhangyang Wang
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations. ICLR (2023)
Ziyu Jiang, Ming Wang, Kai Liu
Comparisons of Convolutional Neural Network and Other Machine Learning Methods in Landslide Susceptibility Assessment: A Case Study in Pingwu. Remote. Sens. 15 (3) (2023)
Haotao Wang, Ziyu Jiang, Yan Han, Zhangyang Wang
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. CoRR (2023)
Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang
How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers? MICCAI (5) (2023)
Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang Wang
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. NeurIPS (2023)
Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers? CoRR (2023)
Ziyu Jiang, Chi-Man Pun, Xiaochen Yuan, Tong Liu
Robust Digital Watermarking Method Based on Adaptive Feature Area Extraction and Local Histogram Shifting. CoRR (2023)
Ziyu Jiang, Yinpeng Chen, Mengchen Liu, Dongdong Chen, Xiyang Dai, Lu Yuan, Zicheng Liu, Zhangyang Wang
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations. CoRR (2023)
Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. DALI@MICCAI (2022)
Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang
M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design. NeurIPS (2022)
Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang
ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design. CoRR (2022)
Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Hassan Awadallah, Zhangyang Wang
DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment. ECCV (20) (2022)
Ziyu Jiang, Xuxi Chen, Xueqin Huang, Xianzhi Du, Denny Zhou, Zhangyang Wang
Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation. NeurIPS (2022)
Bohao Li, Kai Liu, Ming Wang, Qian He, Ziyu Jiang, Weihua Zhu, Ningning Qiao
Global Dynamic Rainfall-Induced Landslide Susceptibility Mapping Using Machine Learning. Remote. Sens. 14 (22) (2022)
Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. CoRR (2022)
Qian He, Ziyu Jiang, Ming Wang, Kai Liu
Landslide and Wildfire Susceptibility Assessment in Southeast Asia Using Ensemble Machine Learning Methods. Remote. Sens. 13 (8) (2021)
Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
Self-Damaging Contrastive Learning. CoRR (2021)
Ziyu Jiang, Zhenhua He, Xueqin Huang, Zibin Yang, Pearl Tan
CE-PeopleSeg: Real-Time People Segmentation With 10% CPU Usage for Video Conference. CVPR Workshops (2021)
Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling. CoRR (2021)
Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling. NeurIPS (2021)
Ziyu Jiang, Tianlong Chen, Bobak J. Mortazavi, Zhangyang Wang
Self-Damaging Contrastive Learning. ICML (2021)
Pengcheng Pi, Ziyu Jiang, Zixiang Xiong
Learning Skip Map For Efficient Ultra-High Resolution Image Segmentation. ICIP (2021)
Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
Robust Pre-Training by Adversarial Contrastive Learning. CoRR (2020)
Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
Robust Pre-Training by Adversarial Contrastive Learning. NeurIPS (2020)
Ziyu Jiang, Buyu Liu, Samuel Schulter, Zhangyang Wang, Manmohan Chandraker
Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations. CVPR (2020)
Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, Xiaoning Qian
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images. CVPR (2019)
Ziyu Jiang, Kate Von Ness, Julie Loisel, Zhangyang Wang
ArcticNet: A Deep Learning Solution to Classify the Arctic Area. CVPR Workshops (2019)
Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings. NeurIPS (2019)
Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, Xiaoning Qian
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images. CoRR (2019)
Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang
E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving. CoRR (2019)
Ziyu Jiang, Kate Von Ness, Julie Loisel, Zhangyang Wang
ArcticNet: A Deep Learning Solution to Classify Arctic Wetlands. CoRR (2019)
Ziyu Jiang, Chi-Man Pun
Reversible Image Watermarking Using Prediction Value Computation with Gradient Analysis. MPS@CCS (2018)