Siqi Yang 杨思琪

Hello! I'm Siqi Yang (pronounced /schee/, or you can call me Jacky>). I am currently pursuing my MSCS in Computer Science at the University of Illinois Urbana-Champaign (UIUC), where I am fortunate to be advised by Prof. Yuxiong Wang.

My research focuses on Reinforcement Learning for developing agents that can interact naturally with humans, including both embodied agents and LLM-based agents. I am also interested in how these agents build an understanding of the world through 3D vision and other perceptual modalities.

Before joining UIUC, I completed my B.Eng in Electronic Engineering at Tsinghua University. During my undergraduate studies, I gained valuable research experience working with Prof. Huazhe Xu and Prof. Yu Wang.

Email  /  Github

Publication

Siqi Yang, Kai Yan, Alexander Schwing, Yu-xiong Wang
In Submission
[Paper]
We propose Latent Wasserstein Adversarial Imitation Learning, a novel adversarial imitation learning framework that focuses on state-only distribution matching by leveraging the Wasserstein distance computed in a latent space. Our approach includes a pre-training stage to capture the underlying structure of the state space using randomly generated state-only data. This enhances the policy's understanding of state transitions, enabling the learning process to use only one or a few state-only expert episodes to achieve expert-level performance.
RiEMann: Near Real-Time SE(3)-Equivariant Robot Manipulation without Point Cloud Segmentation
Chongkai Gao, Zhengrong Xue, Shuying Deng, Tianhai Liang, Siqi Yang, Lin Shao, Huazhe Xu
CoRL 2024
[Paper]   [Project Page]   [Code]
We present RiEMann, an end-to-end near Real-time SE(3)-Equivariant Robot Manipulation imitation learning framework from scene point cloud input. RiEMann directly predicts the target poses of objects for manipulation without any object segmentation. RiEMann learns a manipulation task from scratch with 5 to 10 demonstrations, generalizes to unseen SE(3) transformations and instances of target objects, resists visual interference of distracting objects, and follows the near real-time pose change of the target object.
Experience
University of Illinois Urbana-Champaign, USA
2025 Fall

Teaching Assistant for CS 598: Machine Learning in Software Engineering
University of Illinois Urbana-Champaign, USA
2024.07 - 2024.10

Research Intern
Advisor: Yuxiong Wang
Tsinghua University, China
2021.09 - 2025.06

Undergraduate Student
Advisor: Huazhe Xu

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