Dai, Wei

20 publications

ICLR 2025 AutoUAD: Hyper-Parameter Optimization for Unsupervised Anomaly Detection Wei Dai, Jicong Fan
ICML 2025 CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models Wei Dai, Peilin Chen, Malinda Lu, Daniel A Li, Haowen Wei, Hejie Cui, Paul Pu Liang
ICML 2025 Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy Haoqi Wu, Wei Dai, Wang Li, Qiang Yan
ICML 2025 CogMath: Assessing LLMs’ Authentic Mathematical Ability from a Human Cognitive Perspective Jiayu Liu, Zhenya Huang, Wei Dai, Cheng Cheng, Jinze Wu, Jing Sha, Song Li, Qi Liu, Shijin Wang, Enhong Chen
CVPR 2025 Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma, Wei Dai, Wenke Huang, Jiayi Chen
NeurIPS 2025 ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation Haoqi Wu, Wei Dai, Ming Xu, Wang Li, Qiang Yan
ICLR 2025 Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount Yanbiao Ma, Wei Dai, Jiayi Chen
NeurIPS 2025 QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training Wei Dai, Peilin Chen, Chanakya Ekbote, Paul Pu Liang
AAAI 2025 Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation Wei Dai, Kai Hwang, Jicong Fan
ICML 2024 Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning Depeng Li, Tianqi Wang, Junwei Chen, Wei Dai, Zhigang Zeng
NeurIPS 2022 Brain Network Transformer Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang
ICML 2020 Learning Optimal Tree Models Under Beam Search Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai
ICLR 2019 Toward Understanding the Impact of Staleness in Distributed Machine Learning Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric Xing
ICCVW 2019 VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results Dawei Du, Yue Zhang, Zexin Wang, Zhikang Wang, Zichen Song, Ziming Liu, Liefeng Bo, Hailin Shi, Rui Zhu, Aashish Kumar, Aijin Li, Almaz Zinollayev, Anuar Askergaliyev, Arne Schumann, Binjie Mao, Pengfei Zhu, Byeongwon Lee, Chang Liu, Changrui Chen, Chunhong Pan, Chunlei Huo, Da Yu, Dechun Cong, Dening Zeng, Dheeraj Reddy Pailla, Di Li, Longyin Wen, Dong Wang, Donghyeon Cho, Dongyu Zhang, Furui Bai, George Jose, Guangyu Gao, Guizhong Liu, Haitao Xiong, Hao Qi, Haoran Wang, Xiao Bian, Heqian Qiu, Hongliang Li, Huchuan Lu, Ildoo Kim, Jaekyum Kim, Jane Shen, Jihoon Lee, Jing Ge, Jingjing Xu, Jingkai Zhou, Haibin Ling, Jonas Meier, Jun Won Choi, Junhao Hu, Junyi Zhang, Junying Huang, Kaiqi Huang, Keyang Wang, Lars Sommer, Lei Jin, Lei Zhang, Qinghua Hu, Lianghua Huang, Lin Sun, Lucas Steinmann, Meixia Jia, Nuo Xu, Pengyi Zhang, Qiang Chen, Qingxuan Lv, Qiong Liu, Qishang Cheng, Tao Peng, Sai Saketh Chennamsetty, Shuhao Chen, Shuo Wei, Srinivas S. S. Kruthiventi, Sungeun Hong, Sungil Kang, Tong Wu, Tuo Feng, Varghese Alex Kollerathu, Wanqi Li, Jiayu Zheng, Wei Dai, Weida Qin, Weiyang Wang, Xiaorui Wang, Xiaoyu Chen, Xin Chen, Xin Sun, Xin Zhang, Xin Zhao, Xindi Zhang, Xinyao Wang, Xinyu Zhang, Xuankun Chen, Xudong Wei, Xuzhang Zhang, Yanchao Li, Yifu Chen, Yu Heng Toh, Yu Zhang, Yu Zhu, Yunxin Zhong
JMLR 2018 Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters Yi Zhou, Yingbin Liang, Yaoliang Yu, Wei Dai, Eric P. Xing
ICCV 2017 Dual Motion GAN for Future-Flow Embedded Video Prediction Xiaodan Liang, Lisa Lee, Wei Dai, Eric P. Xing
AISTATS 2016 On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System Yi Zhou, Yaoliang Yu, Wei Dai, Yingbin Liang, Eric P. Xing
ICML 2016 Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms Yu-Xiang Wang, Veeranjaneyulu Sadhanala, Wei Dai, Willie Neiswanger, Suvrit Sra, Eric Xing
AAAI 2015 High-Performance Distributed ML at Scale Through Parameter Server Consistency Models Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing
ICCV 2009 Studying Brain Morphometry Using Conformal Equivalence Class Yalin Wang, Wei Dai, Yi-Yu Chou, Xianfeng Gu, Tony F. Chan, Arthur W. Toga, Paul M. Thompson