Jiang, Ziyu

16 publications

ICCV 2025 AutoScape: Geometry-Consistent Long-Horizon Scene Generation Jiacheng Chen, Ziyu Jiang, Mingfu Liang, Bingbing Zhuang, Jong-Chyi Su, Sparsh Garg, Ying Wu, Manmohan Chandraker

TMLR 2024 CR-MoE: Consistent Routed Mixture-of-Experts for Scaling Contrastive Learning Ziyu Jiang, Guoqing Zheng, Yu Cheng, Ahmed Hassan Awadallah, Zhangyang Wang

NeurIPS 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, 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

CVPR 2024 LidaRF: Delving into LiDAR for Neural Radiance Field on Street Scenes Shanlin Sun, Bingbing Zhuang, Ziyu Jiang, Buyu Liu, Xiaohui Xie, Manmohan Chandraker

JMLR 2024 Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK Hongru Yang, Ziyu Jiang, Ruizhe Zhang, Yingbin Liang, Zhangyang Wang

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

ICLR 2023 Layer Grafted Pre-Training: Bridging Contrastive Learning and Masked Image Modeling for Label-Efficient Representations Ziyu Jiang, Yinpeng Chen, Mengchen Liu, Dongdong Chen, Xiyang Dai, Lu Yuan, Zicheng Liu, Zhangyang Wang

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

ECCV 2022 DNA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Awadallah, 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, Kai Zou, Yu Cheng, Cong Hao, Zhangyang Wang

CVPRW 2021 CE-PeopleSeg: Real-Time People Segmentation with 10% CPU Usage for Video Conference Ziyu Jiang, Zhenhua He, Xueqin Huang, Zibin Yang, Pearl Tan

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

ICML 2021 Self-Damaging Contrastive Learning Ziyu Jiang, Tianlong Chen, Bobak J Mortazavi, Zhangyang Wang

NeurIPS 2020 Robust Pre-Training by Adversarial Contrastive Learning Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

CVPRW 2019 ArcticNet: A Deep Learning Solution to Classify the Arctic Area Ziyu Jiang, Kate Von Ness, Julie Loisel, Zhangyang Wang

NeurIPS 2019 E2-Train: Training State-of-the-Art CNNs with over 80% Energy Savings Yue Wang, Ziyu Jiang, Xiaohan Chen, Pengfei Xu, Yang Zhao, Yingyan Lin, Zhangyang Wang