Tailin Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
6
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization. | Lirong Wu, Haitao Lin, Yufei Huang, Zhangyang Gao, Cheng Tan, Yunfan Liu, Tailin Wu, Stan Z. Li |
| 2025 | ICLR | EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow. | Yufei Huang, Yunshu Liu, Lirong Wu, Haitao Lin, Cheng Tan, Odin Zhang, Zhangyang Gao, Siyuan Li, Zicheng Liu, Yunfan Liu, Tailin Wu, Stan Z. Li |
| 2025 | ICLR | Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model. | Rundong He, Yicong Dong, Lanzhe Guo, Yilong Yin, Tailin Wu |
| 2025 | ICLR | Wavelet Diffusion Neural Operator. | Peiyan Hu, Rui Wang, Xiang Zheng, Tao Zhang, Haodong Feng, Ruiqi Feng, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu |
| 2025 | ICLR | CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems. | Long Wei, Haodong Feng, Yuchen Yang, Ruiqi Feng, Peiyan Hu, Xiang Zheng, Tao Zhang, Dixia Fan, Tailin Wu |
| 2025 | ICML | M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation. | Tao Zhang, Zhenhai Liu, Feipeng Qi, Yongjun Jiao, Tailin Wu |
| 2025 | ICML | On the Guidance of Flow Matching. | Ruiqi Feng, Chenglei Yu, Wenhao Deng, Peiyan Hu, Tailin Wu |
| 2025 | ICML | From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control. | Peiyan Hu, Xiaowei Qian, Wenhao Deng, Rui Wang, Haodong Feng, Ruiqi Feng, Tao Zhang, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu |
| 2024 | AAAI | Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution. | Tailin Wu, Willie Neiswanger, Hongtao Zheng, Stefano Ermon, Jure Leskovec |
| 2024 | ICLR | BENO: Boundary-embedded Neural Operators for Elliptic PDEs. | Haixin Wang, Jiaxin Li, Anubhav Dwivedi, Kentaro Hara, Tailin Wu |
| 2024 | ICLR | Compositional Generative Inverse Design. | Tailin Wu, Takashi Maruyama, Long Wei, Tao Zhang, Yilun Du, Gianluca Iaccarino, Jure Leskovec |
| 2023 | ICLR | Learning Controllable Adaptive Simulation for Multi-resolution Physics. | Tailin Wu, Takashi Maruyama, Qingqing Zhao, Gordon Wetzstein, Jure Leskovec |
| 2022 | KDD | Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator. | Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosic, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec |
| 2020 | ICLR | Phase Transitions for the Information Bottleneck in Representation Learning. | Tailin Wu, Ian S. Fischer |
| 2020 | ICPADS | LBNN: Perceiving the State Changes of a Core Telecommunications Network via Linear Bayesian Neural Network. | Yanying Lin, Kejiang Ye, Ming Chen, Naitian Deng, Tailin Wu, Cheng-Zhong Xu |
| 2019 | UAI | Learnability for the Information Bottleneck. | Tailin Wu, Ian S. Fischer, Isaac L. Chuang, Max Tegmark |
| 2017 | UAI | Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels. | Curtis G. Northcutt, Tailin Wu, Isaac L. Chuang |