Hi there! My name is Sichao, a Ph.D. Student at Australian National University(ANU). I am currently supervised by Prof. Amanda Barnard and co-supervised by Dr. Quanling Deng and Dr. Amanda Parker. I obtained my M.C.S. from ANU in 2020, under the supervision of Dr. Charles Martain and I was working as a research assistant under the supervision of Prof. Steve Blackburn. My B.S.M.E. was received from Shanghai Ocean University(SHOU) in 2018.

I will be always in the fond memory of our dear supervisor – Dr. Yu Lin (1981/11 - 2022/10).

Research interests

I have a broad interest in both Explainable AI(XAI) and applied machine learning in the scientific domain, e.g. material science, physics, and chemistry, aka Ai4Science : )

• Rashomon set exploration and explanation in general tasks
• Integrating domain knowledge into the modeling process
• Screening MXenes for high-capacity energy storage materials

Publications

My full publication lists can be found on Google Scholar page and Researchgate page.

Feel free to drop me an email for a full-text request if you are interested in my work

Services

Reviewer: ICML; Neurips; IJCNN; Cell Reports Physical Science; Scientific Report

Personal hobbies

• Ballislife is one of my favorites! Please invite me if you are also playing basketball in Canberra
• Foodie & cooker: love to try all kinds of food!
• Gym is the place to relax after work…
• I also like reading (in philosophy) and playing guitar when I am free

News!

• 2023.06.22: Presented (oral) our work in IJCNN 2023, Gold Coast, Australia
• 2023.06.24: Build the personal webpage, congrats to myself!
• 2023.10.13: Our paper “Multi-Target Neural Network Predictions of Mxenes as High-Capacity Energy Storage Materials in a Rashomon Set” accepted by Cell Reports Physical Science
• 2023.11.09: I am going to visit to teach at Shandong University (Weihai)
• 2023.12.07: I am pleased to be selected as a “Highlighted Reviewer” of XAIA Neurips 2023.
• 2024.01.17: Our paper “Exploring the cloud of feature interaction scores in a Rashomon set” accepted by ICLR 2024
• 2024.02.16: “Vice Chancellor’s HDR Travel Grant” is approved.
• 2024.02.20: “Multi-Target Neural Network Predictions of Mxenes as High-Capacity Energy Storage Materials in a Rashomon Set” will be presented in SupercomputingAsia 2024, International Convention Centre Sydney, Australia.