Bernie Wang

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 8

Top Topics

Relational Reinforcement Learning

Demand Forecasting

Top Venues

Proc. VLDB Endow.

Publications

Zihao Xu, Hao He, Guang-He Lee, Bernie Wang, Hao Wang
Graph-Relational Domain Adaptation. ICLR (2022)
Hilaf Hasson, Bernie Wang, Tim Januschowski, Jan Gasthaus
Probabilistic Forecasting: A Level-Set Approach. NeurIPS (2021)
Bernie Wang, Simon Xu, Kurt Keutzer, Yang Gao, Bichen Wu
Improving Context-Based Meta-Reinforcement Learning with Self-Supervised Trajectory Contrastive Learning. CoRR (2021)
Abdul Fatir Ansari, Konstantinos Benidis, Richard Kurle, Ali Caner Türkmen, Harold Soh, Alexander J. Smola, Bernie Wang, Tim Januschowski
Deep Explicit Duration Switching Models for Time Series. NeurIPS (2021)
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
Neural forecasting: Introduction and literature overview. CoRR (2020)
Bernie Wang, Virginia Wu, Bichen Wu, Kurt Keutzer
LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking. CoRR (2019)
Bernie Wang, Virginia Wu, Bichen Wu, Kurt Keutzer
LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking. ITSC (2019)
Joos-Hendrik Boese, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Dustin Lange, David Salinas, Sebastian Schelter, Matthias W. Seeger, Bernie Wang
Probabilistic Demand Forecasting at Scale. Proc. VLDB Endow. 10 (12) (2017)