Publications

  • Manikya Swathi Vallabhajoyula and Rajiv Ramnath, "Towards Practical, Generalizable Machine-Learning Training Pipelines to build Regression Models for Predicting Application Resource Needs on HPC Systems", Conference on Practice and Experince in Advanced Research Computing, July 2022 [PDF]
  • Yurong You, Katie Z Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, "Learning to Detect Mobile Objects from LiDAR Scans Without Labels", Conference on Computer Vision and Pattern Recognition, June 2022 [PDF]
  • Chan Hee Song, Jihyung Kil, Tai-Yu Pan, Brian M. Sadler, Wei-Lun Chao, Yu Su. “One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones”. Conference on Computer Vision and Pattern Recognition, June 2022 [PDF]
  • Yurong You, Carlos Andres Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark Campbell, Kilian Q Weinberger, "Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection in Self-Driving Cars",  International Conference on Robotics and Automation, May 2022
  • Josephine Monica, Wei-Lun Chao, Mark Campbell, "Sequential Joint Shape and Pose Estimation of Vehicles with Application to Automatic Amodal Segmentation Labeling", International Conference on Robotics and Automation, May 2022
  • Hong-You Chen, Wei-Lun Chao. On Bridging Generic and Personalized Federated Learning for Image Classification. International Conference on Learning Representations (ICLR), April 2022. [PDF]
  • Yurong You, Katie Z Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark Campbell, Kilian Q Weinberger, Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception, International Conference on Learning Representations (ICLR), April 2022.  [PDF]
  • Han-Jia Ye, Wei-Lun Chao. How to Train Your MAML to Excel in Few-Shot Classification. International Conference on Learning Representations (ICLR), April 2022. [PDF]
  • Yuhao Kang, Kunlin Wu, Song Gao, Ignavier Ng, Jinmeng Rao, Shan Ye, Fan Zhang, and Teng Fei.  STICC: a multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity. International Journal of Geographical Information Science,1-32. DOI: 10.1080/13658816.2022.2053980, March 2022 [Article]
  • Michelle Miller. Big data, information asymmetry, and food supply chain management for resilience. Journal of Agriculture, Food Systems, and Community Development, December 2021 [Article]

 

ICICLE