Weijie Su
- Deformable DETR: Deformable Transformers for End-to-End Object Detection
2020/10/08 by Xizhou Zhu, Weijie Su, Zhu, Xizhou +9 · 285 citations
Computer Science · #Advanced Neural Network Applications #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning
- VL-BERT: Pre-training of Generic Visual-Linguistic Representations
2019/08/22 by Weijie Su, Xizhou Zhu, Su, Weijie +11 · 36 citations
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
- Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory
2023/05/25 by Xizhou Zhu, Yuntao Chen, Zhu, Xizhou +23 · 20 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques
- The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent
2023/05/27 by Lei Wu, Weijie Su, Wu, Lei +1 · 13 citations
Biochemistry, Genetics and Molecular Biology · Engineering · Neuroscience · #Advanced Fluorescence Microscopy Techniques #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques
- Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
2020/10/22 by Fan Yang, Yang, Fan, Hongyang R. Zhang +7 · 7 citations
Computer Science · Physics and Astronomy · Mathematics · #Neural Networks and Applications #Statistical Mechanics and Entropy #Statistical Methods and Inference
- The alignment property of SGD noise and how it helps select flat minima: A stability analysis
2022/07/06 by Lei Wu, Mingze Wang, Wu, Lei +3 · 7 citations
Computer Science · #Stochastic Gradient Optimization Techniques #Domain Adaptation and Few-Shot Learning #Advanced Graph Neural Networks
- Do Large Language Models (Really) Need Statistical Foundations?
2025/05/25 by Weijie Su, Su, Weijie · 4 voices · 4 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling
- Deep Learning with Gaussian Differential Privacy
2019/11/26 by Zhiqi Bu, Jinshuo Dong, Bu, Zhiqi +5 · 5 citations
Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- Uncertainty Quantification for Online Learning and Stochastic Approximation via Hierarchical Incremental Gradient Descent
2018/02/13 by Weijie Su, Yuancheng Zhu, Su, Weijie J. +1 · 5 citations
Computer Science · #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Methodology (stat.ME) #Optimization and Control (math.OC) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
- ROCK: Causal Inference Principles for Reasoning about Commonsense Causality
2022/01/31 by Jiayao Zhang, Zhang, Jiayao, Hongming Zhang +6 · 1 voice · 1 citation
Computer Science · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #Topic Modeling #cs.AI #cs.CL #cs.LG #stat.AP
- On Learning Rates and Schrödinger Operators
2020/04/15 by Bin Shi, Shi, Bin, Weijie Su +3 · 3 citations
Computer Science · #Analysis of PDEs (math.AP) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neural Networks and Applications #Optimization and Control (math.OC)
- MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents
2025/07/25 by Xuehui Wang, Wang, Xuehui, Zhenyu Wu +47 · 23 citations
Computer Science · Psychology · #Advanced Software Engineering Methodologies #Human-Automation Interaction and Safety #Social Robot Interaction and HRI
- Toward Better Generalization Bounds with Locally Elastic Stability
2020/10/27 by Zhun Deng, Deng, Zhun, Hangfeng He +3 · 4 citations
Computer Science · Engineering · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- ZeroGUI: Automating Online GUI Learning at Zero Human Cost
2025/05/29 by Chenyu Yang, Shiqian Su, Yang, Chenyu +21 · 14 citations
Computer Science · Engineering · Psychology · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Robot Manipulation and Learning #Social Robot Interaction and HRI
- You Are the Best Reviewer of Your Own Papers: An Owner-Assisted Scoring Mechanism
2021/10/27 by Weijie Su, Su, Weijie J. · 5 citations
Decision Sciences · #Advanced Bandit Algorithms Research #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Mathematics #Game Theory and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Optimization and Control (math.OC)
- Robust Detection of Watermarks for Large Language Models Under Human Edits
2024/11/21 by Xiang Li, Li, Xiang, Feng Ruan +7 · 7 citations
Computer Science · #Handwritten Text Recognition Techniques #Music and Audio Processing #Digital and Cyber Forensics
- Group SLOPE - adaptive selection of groups of predictors
2016/10/17 by Damian Brzyski, Brzyski, Damian, Weijie Su +3 · 2 citations
Decision Sciences · Computer Science · Mathematics · #Optimal Experimental Design Methods #Advanced Multi-Objective Optimization Algorithms #Statistical Methods and Inference
- Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment
2023/04/14 by Rachel Cummings, Damien Desfontaines, Cummings, Rachel +45 · 3 citations
Social Sciences · #Privacy, Security, and Data Protection
- Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?
2021/03/02 by Shuxiao Chen, Chen, Shuxiao, Qinqing Zheng +5 · 4 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
2015/03/29 by Weijie Su, Emmanuel J. Candès, Su, Weijie +1 · 3 citations
Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Mathematical Approximation and Integration #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST)
- A Central Limit Theorem for Differentially Private Query Answering
2021/03/15 by Jinshuo Dong, Weijie Su, Dong, Jinshuo +3 · 2 citations
Computer Science · #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques
- A Law of Data Separation in Deep Learning
2022/10/31 by Hangfeng He, Weijie Su, He, Hangfeng +1 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning
- Familywise Error Rate Control via Knockoffs
2015/05/25 by Lucas Janson, Janson, Lucas, Weijie Su +1 · 1 citation
Decision Sciences · Mathematics · #FOS: Computer and information sciences #Methodology (stat.ME) #Optimal Experimental Design Methods #Statistical Methods and Inference #Statistical Methods in Clinical Trials
- A Statistical Viewpoint on Differential Privacy: Hypothesis Testing, Representation and Blackwell's Theorem
2024/09/14 by Weijie Su, Su, Weijie J. · 3 citations
Computer Science · #Privacy-Preserving Technologies in Data
- Reward Collapse in Aligning Large Language Models
2023/05/28 by Ziang Song, Song, Ziang, Tianle Cai +5 · 2 citations
Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Topic Modeling
- Private False Discovery Rate Control
2015/11/12 by Cynthia Dwork, Weijie Su, Dwork, Cynthia +3 · 2 citations
Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Statistical Methods in Clinical Trials #Statistics Theory (math.ST)
- Neural Collapse Meets Differential Privacy: Curious Behaviors of NoisyGD with Near-perfect Representation Learning
2024/05/14 by Chendi Wang, Wang, Chendi, Yuqing Zhu +5 · 3 citations
Computer Science · Neuroscience · #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face Recognition and Perception #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
- The FDR-Linking Theorem
2018/12/21 by Weijie Su, Su, Weijie J. · 1 citation
Computer Science · Mathematics · #Algorithms and Data Compression #FOS: Mathematics #Statistical Methods and Inference #Statistical Methods in Clinical Trials #Statistics Theory (math.ST)
- Acceleration via Symplectic Discretization of High-Resolution Differential Equations
2019/02/11 by Bin Shi, Shi, Bin, Simon S. Du +5 · 1 citation
Computer Science · Economics, Econometrics and Finance · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Matrix Theory and Algorithms #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques #Stochastic processes and financial applications
- Weighted Training for Cross-Task Learning
2021/05/28 by Shuxiao Chen, Koby Crammer, Chen, Shuxiao +7 · 1 citation
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech Recognition and Synthesis
- Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment
2024/10/22 by Mingzhi Wang, Chengdong Ma, Wang, Mingzhi +17 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
- DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework
2023/06/09 by Hua Wang, Wang, Hua, Sheng Gao +7 · 1 citation
Computer Science · #Advanced Multi-Objective Optimization Algorithms #Advanced Neural Network Applications #Cryptography and Security (cs.CR) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Shifted Interpolation for Differential Privacy
2024/03/01 by Jinho Bok, Bok, Jinho, Weijie Su +3 · 1 citation
Computer Science · #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data #Statistics Theory (math.ST)
- WildfireGPT: Tailored Large Language Model for Wildfire Analysis
2024/02/12 by Yangxinyu Xie, Xie, Yangxinyu, Jiang, Bowen +21 · 1 citation
Environmental Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fire effects on ecosystems
- Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic
2019/10/18 by Matteo Sordello, Sordello, Matteo, Dalmasso, Niccolò +4 · 2 citations
Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Machine Learning and ELM #Sparse and Compressive Sensing Techniques
- Isotropic Curvature Model for Understanding Deep Learning Optimization: Is Gradient Orthogonalization Optimal?
2025/11/01 by Weijie Su, Su, Weijie · 3 citations
Computer Science · Materials Science · #Stochastic Gradient Optimization Techniques #Machine Learning in Materials Science #Machine Learning and Data Classification
- A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation
2025/04/24 by Yangxinyu Xie, Xie, Yangxinyu, Bowen Jiang +23 · 2 citations
Computer Science · Engineering · #Advanced Computational Techniques and Applications #Anomaly Detection Techniques and Applications #Computation and Language (cs.CL) #FOS: Computer and information sciences #Fire Detection and Safety Systems
- AI Risk Management Should Incorporate Both Safety and Security
2024/05/29 by Xiangyu Qi, Yangsibo Huang, Qi, Xiangyu +47 · 1 citation
Medicine · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Cryptography and Security (cs.CR) #Ethics and Social Impacts of AI #FOS: Computer and information sciences
- A Law of Next-Token Prediction in Large Language Models
2024/08/24 by Hangfeng He, He, Hangfeng, Weijie Su +1 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling