Weijie Su

20 papers A* 3Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation.
CoRR
Yangxinyu Xie, Bowen Jiang, 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, Camillo J. Taylor
2025 J jnl
How to Find Fantastic Papers: Self-Rankings as a Powerful Predictor of Scientific Impact Beyond Peer Review.
CoRR
Buxin Su, Natalie Collina, Garrett Wen, Didong Li, Kyunghyun Cho, Jianqing Fan, Bingxin Zhao, Weijie Su
2024 A* conf
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners.
EMNLP
Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, Xiaomeng Wang, Tanwi Mallick, Weijie Su, Camillo J. Taylor, Dan Roth
2024 A* conf
Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization.
COLT
Jiancong Xiao, Ruoyu Sun, Qi Long, Weijie Su
2024 A* conf
Eliciting Honest Information from Authors Using Sequential Review.
AAAI
Yichi Zhang, Grant Schoenebeck, Weijie Su
2024 J jnl
Foreword for the Collection of Papers from the Workshop on the Analysis of Census Noisy Measurement Files and Differential Privacy.
J. Priv. Confidentiality
Jörg Drechsler, Ruobin Gong, Weijie Su, Linjun Zhang
2024 J jnl
Shifted Interpolation for Differential Privacy.
CoRR
Jinho Bok, Weijie Su, Jason M. Altschuler
2023 J jnl
An Isotonic Mechanism for Overlapping Ownership.
CoRR
Jibang Wu, Haifeng Xu, Yifan Guo, Weijie Su
2023 J jnl
Eliciting Honest Information From Authors Using Sequential Review.
CoRR
Yichi Zhang, Grant Schoenebeck, Weijie Su
2023 J jnl
On Learning Rates and Schrödinger Operators.
J. Mach. Learn. Res.
Bin Shi, Weijie Su, Michael I. Jordan
2022 J jnl
When does SGD favor flat minima? A quantitative characterization via linear stability.
CoRR
Lei Wu, Mingze Wang, Weijie Su
2019 J jnl
Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks.
CoRR
Qingyang Wu, He Li, Weijie Su, Lexin Li, Zhou Yu
2018 J jnl
Differentially Private False Discovery Rate Control.
CoRR
Cynthia Dwork, Weijie Su, Li Zhang
2016 J jnl
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights.
J. Mach. Learn. Res.
Weijie Su, Stephen P. Boyd, Emmanuel J. Candès
2015 J jnl
False Discoveries Occur Early on the Lasso Path.
CoRR
Weijie Su, Malgorzata Bogdan, Emmanuel J. Candès
2015 J jnl
Private False Discovery Rate Control.
CoRR
Cynthia Dwork, Weijie Su, Li Zhang
2015 J jnl
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax.
CoRR
Emmanuel J. Candès, Weijie Su
2014 — conf
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights.
NIPS
Weijie Su, Stephen P. Boyd, Emmanuel J. Candès
2011 — conf
A study of the VANET connectivity by percolation theory.
CCNC
Xin Jin, Weijie Su, Yan Wei
2011 — conf
Quantitative Analysis of the VANET Connectivity: Theory and Application.
VTC Spring
Xin Jin, Weijie Su, Wei Yan