Weijie Su

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 20

Top Topics

Semantic Representations

Differential Privacy

Stochastic Optimization

False Discovery Rate

Top Venues

J. Mach. Learn. Res.

Publications

Jinho Bok, Weijie Su, Jason M. Altschuler
Shifted Interpolation for Differential Privacy. CoRR (2024)
Yangxinyu Xie, Tanwi Mallick, Joshua David Bergerson, John K. Hutchison, Duane R. Verner, Jordan Branham, M. Ross Alexander, Robert B. Ross, Yan Feng, Leslie-Anne Levy, Weijie Su
WildfireGPT: Tailored Large Language Model for Wildfire Analysis. CoRR (2024)
Yichi Zhang, Grant Schoenebeck, Weijie Su
Eliciting Honest Information from Authors Using Sequential Review. AAAI (2024)
Yichi Zhang, Grant Schoenebeck, Weijie Su
Eliciting Honest Information From Authors Using Sequential Review. CoRR (2023)
Jibang Wu, Haifeng Xu, Yifan Guo, Weijie Su
An Isotonic Mechanism for Overlapping Ownership. CoRR (2023)
Lei Wu, Mingze Wang, Weijie Su
The alignment property of SGD noise and how it helps select flat minima: A stability analysis. NeurIPS (2022)
Lei Wu, Mingze Wang, Weijie Su
When does SGD favor flat minima? A quantitative characterization via linear stability. CoRR (2022)
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai
Deformable DETR: Deformable Transformers for End-to-End Object Detection. ICLR (2021)
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai
Deformable DETR: Deformable Transformers for End-to-End Object Detection. CoRR (2020)
Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai
VL-BERT: Pre-training of Generic Visual-Linguistic Representations. ICLR (2020)
Zhu Li, Weijie Su, Dino Sejdinovic
Benign Overfitting and Noisy Features. CoRR (2020)
Qingyang Wu, He Li, Weijie Su, Lexin Li, Zhou Yu
Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks. CoRR (2019)
Matteo Sordello, Weijie Su
Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic. CoRR (2019)
Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai
VL-BERT: Pre-training of Generic Visual-Linguistic Representations. CoRR (2019)
Weijie Su, Yuancheng Zhu
Statistical Inference for Online Learning and Stochastic Approximation via Hierarchical Incremental Gradient Descent. CoRR (2018)
Cynthia Dwork, Weijie Su, Li Zhang
Differentially Private False Discovery Rate Control. CoRR (2018)
Weijie Su, Stephen P. Boyd, Emmanuel J. Candès
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights. J. Mach. Learn. Res. 17 (2016)
Cynthia Dwork, Weijie Su, Li Zhang
Private False Discovery Rate Control. CoRR (2015)
Emmanuel J. Candès, Weijie Su
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax. CoRR (2015)
Weijie Su, Malgorzata Bogdan, Emmanuel J. Candès
False Discoveries Occur Early on the Lasso Path. CoRR (2015)
Weijie Su, Stephen P. Boyd, Emmanuel J. Candès
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights. NIPS (2014)
Xin Jin, Weijie Su, Wei Yan
Quantitative Analysis of the VANET Connectivity: Theory and Application. VTC Spring (2011)
Xin Jin, Weijie Su, Yan Wei
A study of the VANET connectivity by percolation theory. CCNC (2011)