Reversible Image Watermarking Using Prediction Value Computation with Gradient Analysis. - Ziyu Jiang; Chi-Man Pun (MPS@CCS, 2018)

Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images. - Wuyang Chen 001; Ziyu Jiang; Zhangyang Wang; Kexin Cui; Xiaoning Qian (CVPR, 2019)

ArcticNet: A Deep Learning Solution to Classify the Arctic Area. - Ziyu Jiang; Kate Von Ness; Julie Loisel; Zhangyang Wang (CVPR Workshops, 2019)

E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings. - Yue Wang 036; Ziyu Jiang; Xiaohan Chen; Pengfei Xu 011; Yang Zhao 013; Yingyan Lin; Zhangyang Wang (NeurIPS, 2019)

ArcticNet: A Deep Learning Solution to Classify Arctic Wetlands. - Ziyu Jiang; Kate Von Ness; Julie Loisel; Zhangyang Wang (CoRR, 2019)

E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving. - Yue Wang 036; Ziyu Jiang; Xiaohan Chen; Pengfei Xu 011; Yang Zhao 013; Yingyan Lin; Zhangyang Wang (CoRR, 2019)

Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations. - Ziyu Jiang; Buyu Liu; Samuel Schulter; Zhangyang Wang; Manmohan Chandraker (CVPR, 2020)

Robust Pre-Training by Adversarial Contrastive Learning. - Ziyu Jiang; Tianlong Chen 001; Ting Chen; Zhangyang Wang (NeurIPS, 2020)

CE-PeopleSeg: Real-Time People Segmentation With 10% CPU Usage for Video Conference. - Ziyu Jiang; Zhenhua He; Xueqin Huang; Zibin Yang; Pearl Tan (CVPR Workshops, 2021)

Learning Skip Map For Efficient Ultra-High Resolution Image Segmentation. - Pengcheng Pi; Ziyu Jiang; Zixiang Xiong (ICIP, 2021)

Self-Damaging Contrastive Learning. - Ziyu Jiang; Tianlong Chen 001; Bobak J. Mortazavi; Zhangyang Wang (ICML, 2021)

Improving Contrastive Learning on Imbalanced Data via Open-World Sampling. - Ziyu Jiang; Tianlong Chen 001; Ting Chen; Zhangyang Wang (NeurIPS, 2021)

Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling. - Ziyu Jiang; Tianlong Chen 001; Ting Chen; Zhangyang Wang (CoRR, 2021)

Landslide and Wildfire Susceptibility Assessment in Southeast Asia Using Ensemble Machine Learning Methods. - Qian He; Ziyu Jiang; Ming Wang; Kai Liu 027 (Remote. Sens., 2021)

DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment. - Ziyu Jiang; Tianlong Chen 001; Xuxi Chen; Yu Cheng 001; Luowei Zhou; Lu Yuan; Ahmed Awadallah 001; Zhangyang Wang (ECCV (20), 2022)

Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. - Gregory Holste; Song Wang 026; Ziyu Jiang; Thomas C. Shen; George Shih; Ronald M. Summers; Yifan Peng 002; Zhangyang Wang (DALI@MICCAI, 2022)

Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation. - Ziyu Jiang; Xuxi Chen; Xueqin Huang; Xianzhi Du; Denny Zhou; Zhangyang Wang (NeurIPS, 2022)

M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design. - Hanxue Liang; Zhiwen Fan; Rishov Sarkar; Ziyu Jiang; Tianlong Chen 001; Kai Zou; Yu Cheng 001; Cong Hao; Zhangyang Wang (NeurIPS, 2022)

M3ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design. - Hanxue Liang; Zhiwen Fan; Rishov Sarkar; Ziyu Jiang; Tianlong Chen 001; Kai Zou; Yu Cheng 001; Cong Hao; Zhangyang Wang (CoRR, 2022)

Global Dynamic Rainfall-Induced Landslide Susceptibility Mapping Using Machine Learning. - Bohao Li; Kai Liu 027; Ming Wang; Qian He; Ziyu Jiang; Weihua Zhu; Ningning Qiao (Remote. Sens., 2022)

Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations. - Ziyu Jiang; Yinpeng Chen; Mengchen Liu; Dongdong Chen 001; Xiyang Dai; Lu Yuan; Zicheng Liu 001; Zhangyang Wang (ICLR, 2023)

How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers? - 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 001; Ronald M. Summers; et al. (MICCAI (5), 2023)

Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. - Haotao Wang; Ziyu Jiang; Yuning You; Yan Han 001; Gaowen Liu; Jayanth Srinivasa; Ramana Kompella; Zhangyang Wang (NeurIPS, 2023)

Convergence and Generalization of Wide Neural Networks with Large Bias. - Hongru Yang; Ziyu Jiang; Ruizhe Zhang 001; Zhangyang Wang; Yingbin Liang (CoRR, 2023)

Robust Digital Watermarking Method Based on Adaptive Feature Area Extraction and Local Histogram Shifting. - Ziyu Jiang; Chi-Man Pun; Xiaochen Yuan; Tong Liu 021 (CoRR, 2023)

Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. - Haotao Wang; Ziyu Jiang; Yan Han 001; Zhangyang Wang (CoRR, 2023)

Comparisons of Convolutional Neural Network and Other Machine Learning Methods in Landslide Susceptibility Assessment: A Case Study in Pingwu. - Ziyu Jiang; Ming Wang; Kai Liu 027 (Remote. Sens., 2023)

LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes. - Shanlin Sun; Bingbing Zhuang; Ziyu Jiang; Buyu Liu; Xiaohui Xie; Manmohan Chandraker (CVPR, 2024)

CRAG - Comprehensive RAG Benchmark. - 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; et al. (NeurIPS, 2024)

ReMark: Reversible Lexical Substitution-Based Text Watermarking. - Ziyu Jiang; Hongxia Wang (SMC, 2024)

CRAG - Comprehensive RAG Benchmark. - 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; et al. (CoRR, 2024)

Drive-1-to-3: Enriching Diffusion Priors for Novel View Synthesis of Real Vehicles. - Chuang Lin 003; Bingbing Zhuang; Shanlin Sun; Ziyu Jiang; Jianfei Cai 001; Manmohan Chandraker (CoRR, 2024)

CR-MoE: Consistent Routed Mixture-of-Experts for Scaling Contrastive Learning. - Ziyu Jiang; Guoqing Zheng; Yu Cheng 001; Ahmed Hassan Awadallah; Zhangyang Wang (Trans. Mach. Learn. Res., 2024)

3D Reconstruction of Ancient Buildings Using UAV Images and Neural Radiation Field with Depth Supervision. - Yingwei Ge; Bingxuan Guo; Peishuai Zha; San Jiang; Ziyu Jiang; Demin Li (Remote. Sens., 2024)

A robust PDF watermarking scheme with versatility and compatibility. - Ziyu Jiang; Hongxia Wang; SongYuan Han (Multim. Tools Appl., 2024)

Reversible source-aware natural language watermarking via customized lexical substitution. - Ziyu Jiang; Hongxia Wang 001; Zhenhao Shi 004; Run Jiao (Inf. Process. Manag., 2025)