Yantian is a PhD student working in the Yochan research group directed by Prof. Subbarao Kambhampati, at Arizona State University. Prior to joining Yochan Lab in 2015, he worked with Prof. Xudong Ma, and Dr. Kun Qian in the Institute of Intelligent Robotics and Intelligent Control at Southeast University.

Yantian is interested in planning, vision, and their integrations that improve the cognitive abilities of robots.

Yantian is also an amateur pianist who received his Level 10 Piano Certificate when he was a boy.

Please feel free to contact Yantian via yzha3 at asu dot edu or LinkedIn.

News!

06/30/2021: Our paper Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping is accecped by IROS 2021. Thanks to my collaborators!

04/30/2021: I am awarded the CIDSE Doctoral Fellowship by ASU.

03/2020 - 08/2020: Worked as a robotics research intern at ABB, Raleigh advised by Dr. Jianjun Wang.

Publications

Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning
Yantian Zha, Lin Guan, Subbarao Kambhampati
AAAI-22 Workshop on Reinforcement Learning in Games 2022.
Media: [Demo Video] [Poster]

Symbols as a Lingua Franca for Bridging Human-AI Chasm for Explainable and Advisable AI Systems
Subbarao Kambhampati, Sarath Sreedharan, Mudit Verma, Yantian Zha, Lin Guan
AAAI Blue Sky Paper (Senior Member Presentation Track) 2022.

Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping
Yantian Zha, Siddhant Bhambri, and Lin Guan
The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021.
Media: [Project] [IROS_Talk] [Slides]

Plan-Recognition-Driven Attention Modeling for Visual Recognition
Yantian Zha, Yikang Li, Tianshu Yu, Subbarao Kambhampati and Baoxin Li
AAAI 2019 Workshop on Plan, Activity, and Intent Recognition (PAIR).

Recognizing plans by learning embeddings from observed action distributions
Yantian Zha, Yikang Li, Sriram Gopalakrishnan, Baoxin Li, and Subbarao Kambhampati
In Proceedings of International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2018.
Media: [Full Paper] [Code] [Slides] [Poster]

Discovering Underlying Plans Based on Shallow Models
Hankz Hankui Zhuo, Yantian Zha, Subbarao Kambhampati, and Xin Tian
In Proceedings of ACM Transactions on Intelligent Systems and Technology (ACM-TIST) 2019.
Media: [Code]

Explicability as Minimizing Distance from Expected Behavior
Anagha Kulkarni, Yantian Zha, Tathagata Chakraborti, Satya Gautam Vadlamudi, Yu Zhang and Subbarao Kambhampati
In Proceedings of International Conference on Autonomous Agents and Multiagent Systems (AAMAS) 2019.
Media: [Full Paper] [Demo Video]