Qian Luo

Qian Luo (罗谦)

I am Qian Luo, a third-year PhD student at University of Hong Kong advised by Prof. Yanchao Yang. I am also a long-term research intern at TranscEngram.

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 Embodied AI systems with less human supervision and better adaptability in the real world. Recently, my work has focused on data-centric robot learning: understanding how demonstration geometry shapes imitation learning and how agent-native data lifecycle governance supports reliable robot policy iteration.

	RoboLineage: Agent-Native Data Lifecycle Governance Across Robot Policy Iterations Qian Luo, Wentao Guo, Zhennan Qin, Nanchun Guo, Yunhan Zhao, Yi Ma, Yanchao Yang arXiv, 2026 paper / project page
	Geometric Entropy: When Trajectory Diversity Helps and Hurts in Imitation Learning Qian Luo, Ruizhe Liu, Pei Zhou, Xunzhe Zhou, Yanchao Yang IROS, 2026 paper / project page
	Hyper-GoalNet: Goal-Conditioned Manipulation Policy Learning with HyperNetworks Pei Zhou, Wanting Yao, Qian Luo, Xunzhe Zhou, Yanchao Yang NeurIPS, 2025 paper / arXiv / code
	HiMaCon: Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data Ruizhe Liu, Pei Zhou, Qian Luo, Li Sun, Jun Cen, Yibing Song, Yanchao Yang NeurIPS, 2025 paper / arXiv / code
	AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations Pei Zhou, Ruizhe Liu, Qian Luo, Fan Wang, Yibing Song, Yanchao Yang ICLR, 2025 (Spotlight)* paper / OpenReview / code
	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
	BBSEA: An Exploration of Brain-Body Synchronization for Embodied Agents Sizhe Yang, Qian Luo, Anumpam Pani, Yanchao Yang arXiv, 2024 paper / project page / code
	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

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