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ORCIDZiyu Jiang
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2020 – today
- 2024
[j6]Ziyu Jiang, Hongxia Wang, SongYuan Han:
A robust PDF watermarking scheme with versatility and compatibility. Multim. Tools Appl. 83(24): 64341-64367 (2024)- [j5]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): 473 (2024) - [j4]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) - [c18]Shanlin Sun, Bingbing Zhuang, Ziyu Jiang, Buyu Liu, Xiaohui Xie, Manmohan Chandraker:
LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes. CVPR 2024: 19563-19572 - [i15]Shanlin Sun, Bingbing Zhuang, Ziyu Jiang, Buyu Liu, Xiaohui Xie, Manmohan Chandraker:
LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes. CoRR abs/2405.00900 (2024) - [i14]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 abs/2406.04744 (2024) - 2023
- [j3]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): 798 (2023) - [c17]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 - [c16]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: 663-673 - [c15]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 - [i13]Hongru Yang, Ziyu Jiang, Ruizhe Zhang, Zhangyang Wang, Yingbin Liang:
Convergence and Generalization of Wide Neural Networks with Large Bias. CoRR abs/2301.00327 (2023) - [i12]Ziyu Jiang, Chi-Man Pun, Xiaochen Yuan, Tong Liu:
Robust Digital Watermarking Method Based on Adaptive Feature Area Extraction and Local Histogram Shifting. CoRR abs/2302.03837 (2023) - [i11]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 abs/2302.14138 (2023) - [i10]Haotao Wang, Ziyu Jiang, Yan Han, Zhangyang Wang:
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. CoRR abs/2304.02806 (2023) - [i9]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 abs/2308.09180 (2023) - 2022
- [j2]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): 5795 (2022) - [c14]Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Awadallah, Zhangyang Wang:
DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment. ECCV (20) 2022: 239-256 - [c13]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: 22-32 - [c12]Ziyu Jiang, Xuxi Chen, Xueqin Huang, Xianzhi Du, Denny Zhou, Zhangyang Wang:
Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation. NeurIPS 2022 - [c11]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 - [i8]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 abs/2208.13365 (2022) - [i7]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. CoRR abs/2210.14793 (2022) - 2021
- [j1]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): 1572 (2021) - [c10]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: 914-922 - [c9]Pengcheng Pi, Ziyu Jiang, Zixiang Xiong:
Learning Skip Map For Efficient Ultra-High Resolution Image Segmentation. ICIP 2021: 634-638 - [c8]Ziyu Jiang, Tianlong Chen, Bobak J. Mortazavi, Zhangyang Wang:
Self-Damaging Contrastive Learning. ICML 2021: 4927-4939 - [c7]Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang:
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling. NeurIPS 2021: 5997-6009 - [i6]Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang:
Self-Damaging Contrastive Learning. CoRR abs/2106.02990 (2021) - [i5]Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang:
Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling. CoRR abs/2111.01004 (2021) - 2020
- [c6]Ziyu Jiang, Buyu Liu, Samuel Schulter, Zhangyang Wang, Manmohan Chandraker:
Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations. CVPR 2020: 110-118 - [c5]Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang:
Robust Pre-Training by Adversarial Contrastive Learning. NeurIPS 2020 - [i4]Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang:
Robust Pre-Training by Adversarial Contrastive Learning. CoRR abs/2010.13337 (2020)
2010 – 2019
- 2019
- [c4]Ziyu Jiang, Kate Von Ness, Julie Loisel, Zhangyang Wang:
ArcticNet: A Deep Learning Solution to Classify the Arctic Area. CVPR Workshops 2019: 38-47 - [c3]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: 8924-8933 - [c2]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: 5139-5151 - [i3]Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, Xiaoning Qian:
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images. CoRR abs/1905.06368 (2019) - [i2]Ziyu Jiang, Kate Von Ness, Julie Loisel, Zhangyang Wang:
ArcticNet: A Deep Learning Solution to Classify Arctic Wetlands. CoRR abs/1906.00133 (2019) - [i1]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 abs/1910.13349 (2019) - 2018
- [c1]Ziyu Jiang, Chi-Man Pun:
Reversible Image Watermarking Using Prediction Value Computation with Gradient Analysis. MPS@CCS 2018: 48-53
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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