Bernie Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
5
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | Efficient Table Retrieval and Understanding with Multimodal Large Language Models. | Zhuoyan Xu, Haoyang Fang, Boran Han, Bonan Min, Bernie Wang, Cuixiong Hu, Shuai Zhang |
| 2025 | AISTATS | ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables. | Sebastian Pineda Arango, Pedro Mercado, Shubham Kapoor, Abdul Fatir Ansari, Lorenzo Stella, Huibin Shen, Hugo Senetaire, Ali Caner Trkmen, Oleksandr Shchur, Danielle C. Maddix, Michael Bohlke-Schneider, Bernie Wang, Syama Sundar Rangapuram |
| 2025 | AISTATS | Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach. | Dheeraj Baby, Boran Han, Shuai Zhang, Cuixiong Hu, Bernie Wang, Yuxiang Wang |
| 2025 | ICLR | Gradient-Free Generation for Hard-Constrained Systems. | Chaoran Cheng, Boran Han, Danielle C. Maddix, Abdul Fatir Ansari, Andrew Stuart, Michael W. Mahoney, Bernie Wang |
| 2025 | ICML | Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization. | Luca Masserano, Abdul Fatir Ansari, Boran Han, Xiyuan Zhang, Christos Faloutsos, Michael W. Mahoney, Andrew Gordon Wilson, Youngsuk Park, Syama Sundar Rangapuram, Danielle C. Maddix, Bernie Wang |
| 2025 | KDD | PipeRAG: Fast Retrieval-Augmented Generation via Adaptive Pipeline Parallelism. | Wenqi Jiang, Shuai Zhang, Boran Han, Jie Wang, Bernie Wang, Tim Kraska |
| 2024 | ICML | Discovering Bias in Latent Space: An Unsupervised Debiasing Approach. | Dyah Adila, Shuai Zhang, Boran Han, Bernie Wang |
| 2024 | ICML | Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs. | S. Chandra Mouli, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Andrew Stuart, Michael W. Mahoney, Bernie Wang |
| 2024 | ICML | Transferring Knowledge From Large Foundation Models to Small Downstream Models. | Shikai Qiu, Boran Han, Danielle C. Maddix, Shuai Zhang, Bernie Wang, Andrew Gordon Wilson |
| 2023 | ICML | Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting. | Hilaf Hasson, Danielle C. Maddix, Bernie Wang, Gaurav Gupta, Youngsuk Park |
| 2022 | ICLR | Graph-Relational Domain Adaptation. | Zihao Xu, Hao He, Guang-He Lee, Bernie Wang, Hao Wang |