Chen, Zhao

12 publications

ICML 2025 Generative Data Mining with Longtail-Guided Diffusion David S Hayden, Mao Ye, Timur Garipov, Gregory P. Meyer, Carl Vondrick, Zhao Chen, Yuning Chai, Eric M Wolff, Siddhartha Srinivasa
NeurIPS 2025 PROFIT: A Specialized Optimizer for Deep Fine Tuning Anirudh S Chakravarthy, Shuai Kyle Zheng, Xin Huang, Sachithra Hemachandra, Xiao Zhang, Yuning Chai, Zhao Chen
ICCV 2023 SHIFT3D: Synthesizing Hard Inputs for Tricking 3D Detectors Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai
IJCAI 2023 Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract) Jingshu Peng, Zhao Chen, Yingxia Shao, Yanyan Shen, Lei Chen, Jiannong Cao
ECCVW 2022 A Deep Wavelet Network for High-Resolution Microscopy Hyperspectral Image Reconstruction Qian Wang, Zhao Chen
ICML 2022 HyperPrompt: Prompt-Based Task-Conditioning of Transformers Yun He, Steven Zheng, Yi Tay, Jai Gupta, Yu Du, Vamsi Aribandi, Zhe Zhao, Yaguang Li, Zhao Chen, Donald Metzler, Heng-Tze Cheng, Ed H. Chi
ICCVW 2021 Real-Time Cell Counting in Unlabeled Microscopy Images Yuang Zhu, Zhao Chen, Yuxin Zheng, Qinghua Zhang, Xuan Wang
CVPR 2021 Taskology: Utilizing Task Relations at Scale Yao Lu, Soren Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon
NeurIPS 2020 Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov
ECCV 2018 Estimating Depth from RGB and Sparse Sensing Zhao Chen, Vijay Badrinarayanan, Gilad Drozdov, Andrew Rabinovich
ICML 2018 GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks Zhao Chen, Vijay Badrinarayanan, Chen-Yu Lee, Andrew Rabinovich
AAAI 2018 Ranking Users in Social Networks with Higher-Order Structures Huan Zhao, Xiaogang Xu, Yangqiu Song, Dik Lun Lee, Zhao Chen, Han Gao