Qian Luo

Qian Luo (罗谦)

I am Qian Luo, a first-yesr PhD student at University of Hong Kong advised by Prof. Yanchao Yang.

Previously I worked as a research associate at Shanghai Qi Zhi Institute advised by Prof. Yi Wu. Prior to that, I was a NLP algorithm engineer at Alibaba Group.

I received my M.S. Degree from Georgia Institute of Technology in 2021, where I was advised by Prof. Sehoon Ha. I also worked closely with Prof. Dhruv Batra.

Email / Google Scholar / LinkedIn / Github /

Research

My research interest lies in building up the Embodied AI system with less human supervision and has better adaptability in our real world. My current research involves training robust robot policies via foundational models and unsupervised concept discovery.

	InfoCon: Concept Discovery with Generative and Discriminative Informativeness Ruizhe Liu, Qian Luo, Yanchao Yang ICLR, 2024 paper / code
	Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning Tianbao Xie, Siheng Zhao, Chen Henry Wu, Yitao Liu, Qian Luo, Victor Zhong, Yanchao Yang, Tao Yu ICLR, 2024 (Spotlight)* paper / code / project page
	Grounding Object Relations in Language-Conditioned Robotic Manipulation with Semantic-Spatial Reasoning Qian Luo, Yunfei Li, Yi Wu AAAI RL Ready for Prod Workshop, 2023 paper / project page
	Contrastive Code-Comment Pre-training Xiaohuan Pei, Daochang Liu, Qian Luo, Chang Xu ICDM, 2022 (Best Student Paper Award - 1/870) paper / code
	Benchmarking augmentation methods for learning robust navigation agents: the winning entry of the 2021 igibson challenge Naoki Yokoyama, Qian Luo, Dhruv Batra, Sehoon Ha IROS, 2022 paper / challenge page / video
	A Few Shot Adaptation of Visual Navigation Skills to New Observations using Meta-Learning Qian Luo, Maks Sorokin, Sehoon Ha ICRA, 2021 paper / video
	A generalized robotic handwriting learning system based on dynamic movement primitives (DMPs) Qian Luo, Jing Wu, Matthew Gombolay ArXiv, 2020 paper / video

Template borrowed from Jon Barron.