Haichao Zhang
Senior Research Scientist
Horizon Robotics
Haichao Zhang
Senior Research Scientist
Horizon Robotics
I'm a Senior Research Scientist with Horizon Robotics, Cupertino (2019~now).
Before that I was a Senior Research Scientist with Baidu Research, Sunnyvale (2016~2019), Research Scientist and Founding Member of Amazon Go, Seattle (2014~2016).
Research Interests
embodied AI
robot learning
reinforcement learning
vision, language and action learning
learning-based planning and control
Awards and Honors
ICCV 2011 Best Student Paper Award 13th International Conference on Computer Vision (ICCV) 2011
Best Student Paper Honorable Mention 14th International Conference on Information Fusion (FUSION) 2011
Doctoral Consortium IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2013
NeurIPS 2013 Oral Presentation 20 out of 1420 submissions (NeurIPS) 2013
Outstanding Doctoral Dissertation Award China Computer Federation (CCF) 2014
Updates
Technical report SLIM: Sim-to-Real Legged Instructive Manipulation via Long-Horizon Visuomotor Learning is available, Jan 2025
One paper on Robot Policy Learning with Temporal Optimal Transport Reward is accepted to NeurIPS 2024
One paper on Visual Language Model for RL (FuRL) is accepted to ICML 2024
Served as Session Chair at ICRA 2024, Yokohama, Japan, May 2024
TaCo Transfer RL is accepted to ICRA 2024
Presented Policy Expansion paper at ICLR, Kigali, Rwanda, May 2023
Policy Expansion (ICLR'23) code is released on Github, April 2023
Policy Expansion Offline-to-Online RL (PEX) paper is accepted to ICLR'23
PaCo Multi-Task RL (NeurIPS'22) code is released on Github, Dec. 2022
Parameter Compositional Multi-Task Reinforcement Learning (PaCo) paper is accepted to NeurIPS'22
Generative Planning (ICLR'22) code is released on Github, April 2022
One paper on Generative Planning is accepted to ICLR'22 (Spotlight)
Serve as Area Chair for Winter Conference on Applications of Computer Vision WACV 2020
Bilateral Adversarial Training (ICCV'19) code is released on Github, Nov. 2019
Feature Scattering-based Adversarial Training (NeurIPS'19) code is released on Github, Oct. 2019
Feature Scattering-based Adversarial Training is accepted by NeurIPS'19
Two papers on Adversarial Robustness for Classification and Object Detection are accepted to ICCV'19
Towards Adversarially Robust Object Detection ICCV'19
Bilateral Adversarial Training ICCV'19
One paper on Visual Recognition under Adverse Conditions is published in IEEE TIP Sept. 2019
One paper on Improved Sequence-to-Sequence Learning is accepted to ICLR'19
One paper on Adversarial Text Generation is accepted by NeurIPS'18
One paper on Guided Feature Transformation for Embodied Agents is accepted to CoRL'18
One paper on Interactive Language Learning and One-shot Concept Learning is accepted to ACL'18
Present paper Interactive Grounded Language Acquisition and Generalization in a 2D World at ICLR'18
Present "Listen, Interact and Talk: Learning to Speak via Interaction" paper at ViGIL NIPS'17
Our XWorld simulator for Reinforcement Learning is now available on Github, Aug. 2017
Co-organize a tutorial on Low-Quality Visual Data Processing at CVPR'17
One paper is accepted by CVPR'15
Receive Outstanding Doctoral Dissertation Award in 2014
One paper on "Scale Adaptive Blind Deblurring" is accepted to NIPS'14
One paper on "Multi-Shot Imaging" is accepted to CVPR'14
Give an Oral presentation of the paper on "Non-Uniform Camera Shake Removal" at NIPS'13 Oral
One paper on Coupled Adaptive Sparse Prior based Blind Deblurring is accepted by CVPR'13 and CVPR Doctoral Consortium
One paper on Joint Restoration and Recognition was awarded the ICCV'11 Best Student Paper
One paper on Joint Dynamic Sparse Representation is accepted by ICCV'11
One paper on Non-Local Kernel Regression for unified local and non-local image modeling is accepted by ECCV'10