Bernie Wang - RankMe

25 papers A* 9A 2Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Efficient Table Retrieval and Understanding with Multimodal Large Language Models. EACL (Findings) Zhuoyan Xu, Haoyang Fang, Boran Han, Bonan Min, Bernie Wang, Cuixiong Hu, Shuai Zhang
2026	J	`jnl`	Efficient Table Retrieval and Understanding with Multimodal Large Language Models. CoRR Zhuoyan Xu, Haoyang Fang, Boran Han, Bonan Min, Bernie Wang, Cuixiong Hu, Shuai Zhang
2026	J	`jnl`	OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation. CoRR Haoyang Fang, Shuai Zhang, Yifei Ma, Hengyi Wang, Cuixiong Hu, Katrin Kirchhoff, Bernie Wang, George Karypis
2025	A	`conf`	Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach. AISTATS Dheeraj Baby, Boran Han, Shuai Zhang, Cuixiong Hu, Bernie Wang, Yuxiang Wang
2025	A	`conf`	ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables. AISTATS Sebastian Pineda Arango, Pedro Mercado, Shubham Kapoor, Abdul Fatir Ansari, Lorenzo Stella, Huibin Shen, Hugo Senetaire, Ali Caner Türkmen, Oleksandr Shchur, Danielle C. Maddix, Michael Bohlke-Schneider, Bernie Wang, Syama Sundar Rangapuram
2025	J	`jnl`	Does Multimodality Lead to Better Time Series Forecasting? CoRR Xiyuan Zhang, Boran Han, Haoyang Fang, Abdul Fatir Ansari, Shuai Zhang, Danielle C. Maddix, Cuixiong Hu, Andrew Gordon Wilson, Michael W. Mahoney, Hao Wang, Yan Liu, Huzefa Rangwala, George Karypis, Bernie Wang
2025	A*	`conf`	Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization. ICML 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	A*	`conf`	Gradient-Free Generation for Hard-Constrained Systems. ICLR Chaoran Cheng, Boran Han, Danielle C. Maddix, Abdul Fatir Ansari, Andrew Stuart, Michael W. Mahoney, Bernie Wang
2025	J	`jnl`	HetRL: Efficient Reinforcement Learning for LLMs in Heterogeneous Environments. CoRR Yongjun He, Shuai Zhang, Jiading Gai, Xiyuan Zhang, Boran Han, Bernie Wang, Huzefa Rangwala, George Karypis
2025	J	`jnl`	Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models. CoRR Xiyuan Zhang, Danielle C. Maddix, Junming Yin, Nick Erickson, Abdul Fatir Ansari, Boran Han, Shuai Zhang, Leman Akoglu, Christos Faloutsos, Michael W. Mahoney, Cuixiong Hu, Huzefa Rangwala, George Karypis, Bernie Wang
2025	—	`conf`	PipeRAG: Fast Retrieval-Augmented Generation via Adaptive Pipeline Parallelism. KDD (1) Wenqi Jiang, Shuai Zhang, Boran Han, Jie Wang, Bernie Wang, Tim Kraska
2025	J	`jnl`	Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting. CoRR Mert Kayaalp, Caner Turkmen, Oleksandr Shchur, Pedro Mercado, Abdul Fatir Ansari, Michael Bohlke-Schneider, Bernie Wang
2025	J	`jnl`	Visual Instruction Tuning with Chain of Region-of-Interest. CoRR Yixin Chen, Shuai Zhang, Boran Han, Bernie Wang
2024	J	`jnl`	Chronos: Learning the Language of Time Series. Trans. Mach. Learn. Res. Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Türkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda-Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Hao Wang, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Bernie Wang
2024	A*	`conf`	Discovering Bias in Latent Space: An Unsupervised Debiasing Approach. ICML Dyah Adila, Shuai Zhang, Boran Han, Bernie Wang
2024	J	`jnl`	PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design. CoRR Wenqi Jiang, Shuai Zhang, Boran Han, Jie Wang, Bernie Wang, Tim Kraska
2024	A*	`conf`	Transferring Knowledge From Large Foundation Models to Small Downstream Models. ICML Shikai Qiu, Boran Han, Danielle C. Maddix, Shuai Zhang, Bernie Wang, Andrew Gordon Wilson
2024	A*	`conf`	Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs. ICML S. Chandra Mouli, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Andrew Stuart, Michael W. Mahoney, Bernie Wang
2023	—	`conf`	AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting. AutoML Oleksandr Shchur, Ali Caner Türkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, Bernie Wang
2023	A*	`conf`	Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting. ICML Hilaf Hasson, Danielle C. Maddix, Bernie Wang, Gaurav Gupta, Youngsuk Park
2022	A*	`conf`	Graph-Relational Domain Adaptation. ICLR Zihao Xu, Hao He, Guang-He Lee, Bernie Wang, Hao Wang
2021	A*	`conf`	Deep Explicit Duration Switching Models for Time Series. NeurIPS Abdul Fatir Ansari, Konstantinos Benidis, Richard Kurle, Ali Caner Türkmen, Harold Soh, Alexander J. Smola, Bernie Wang, Tim Januschowski
2021	A*	`conf`	Probabilistic Forecasting: A Level-Set Approach. NeurIPS Hilaf Hasson, Bernie Wang, Tim Januschowski, Jan Gasthaus
2020	J	`jnl`	Neural forecasting: Introduction and literature overview. CoRR Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Bernie Wang, Danielle C. Maddix, Ali Caner Türkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, Laurent Callot, Tim Januschowski
2017	J	`jnl`	Probabilistic Demand Forecasting at Scale. Proc. VLDB Endow. Joos-Hendrik Boese, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Dustin Lange, David Salinas, Sebastian Schelter, Matthias W. Seeger, Bernie Wang