Here is a virtual but warm greeting from Ziqiao, as you just came across this page!
As many of my friends found it hard to pronounce my name (马子乔, pronounced as Tsz-Chaw in Mandarin),
it's absolutely fine to just call me Martin alternatively.
I am a 3rd year Ph.D. candidate in Computer Science and Engineering at the University of Michigan.
I work with Professor Joyce Chai
as a member of the Situated Language and Embodied Dialogue (SLED) Lab.
I intern(ed) with Adobe Research and Amazon Alexa AI.
Prior to that, I obtained my Dual-Bachelor Degree in Computer Science at the University of Michigan
and Electrical and Computer Engineering at Shanghai Jiao Tong University.
The three constant themes of my research are Language, Interaction, and Embodiment.
My current work focuses on connecting large language models to the world and to humans, as well as computational inquiry of human cogntiion.
More generally, I am interested in aspects of Natural Language Processing
(Language Grounding to Vision and Robotics, Theory of Mind, Language Acquisition),
(World Model, Embodied Instruction Following, Human-Robot Communication),
and Machine Learning
(Cognitively Motivated Learning, Graph Representation Learning, Data-Efficient Learning).
I am honored to have received an Outstanding Paper Award at ACL 2023, an Amazon Alexa Prize Award, and an Outstanding GSI Award for teaching.
I am a co-organizer of SpLU-RoboNLP, and serve as a regular PC member/reviewer for NLP venues (e.g., ACL, EMNLP, NAACL, EACL, COLING) and ML venues (e.g., ICLR, NeurIPS, TMLR).
⚠ ⚠ ⚠
- SLED members Run Peng (RL for NLP and Robotics),
Xuweiyi Chen (3D Grounding),
Jacob Sansom (Cognitive Modeling),
Zekun Wang (Cognitive Modeling),
Xijia Zhang (Human Robot Interaction) and
Sikai Li (Human Robot Interaction) are looking for grad school opportunities.
They are extremely talented, self-motivated, and pleasant to work with. Please consider them if you have openings!
[Oct. 2022] Two papers to appear in EMNLP 2022, and I will serve as an on-site volunteer in Abu Dhabi :)
[Sep. 2022] I will serve as the Poster/Demo Session Chair for Michigan AI Symposium 2022.
[Aug. 2022] I will be the Graduate Student Instructor for EECS 595 (NLP) in Fall 2022 at Michigan.
[Aug. 2021] I graduated from SJTU!
[May. 2021] I graduated from Michigan!
[Mar. 2021] I will join the family of the Michigan AI as a Ph.D. student this fall. Go Blue!
[Dec. 2020] I will be the Instructional Aide for EECS 492 (Intro. AI) in Winter 2021 at Michigan.
[May. 2020] I will be the Teaching Assistant for VE 492 (Intro. AI) and VE 280 (Program. & Intro. Data Struct.) Summer 2020 at SJTU.
University of Michigan, Ann Arbor | Sept 2021 - May 2026 (Expected)
Ph.D. in Computer Science and Engineering, Certificate in Cognitive Science
Advisor: Joyce Chai
University of Michigan, Ann Arbor | Sept 2019 - May 2021
B.S.E in Computer Science, Minor in Mathematics (Summa Cum Laude)
Advisors: Joyce Chai, Qiaozhu Mei, Jie Liu
Shanghai Jiao Tong University, Shanghai | Sept 2017 - Aug 2021
B.S.E in Electrical and Computer Engineering
Technische Universität Berlin, Berlin | Jan 2019 - Feb 2019
Chengdu Foreign Languages School, Chengdu | Sept 2011 - June 2017
Adobe, San Jose | Jan 2024 - Apr 2024
Research Scientist Intern
Amazon, Sunnyvale | May 2023 - Aug 2023
Applied Scientist Intern
EECS 595 Natural Language Processing, University of Michigan.
EECS 492 Introduction to Artificial Intelligence, University of Michigan.
VE 492 Introduction to Artificial Intelligence, Shanghai Jiao Tong University.
VE 280 Programming and Data Structure, Shanghai Jiao Tong University.
VP 141 Physics Lab I, Shanghai Jiao Tong University.
VY 200 Academic Writing II, Shanghai Jiao Tong University.
VY 100 Academic Writing I, Shanghai Jiao Tong University.
Rackham Doctoral Intern Fellowship, University of Michigan, 2024.
China National Scholarship, 2018.
John Wu & Jane Sun Excellence Scholarship, Shanghai Jiao Tong University, 2017.
Co-organizer, the 4th SpLU-RoboNLP Workshop, ACL 2024.
Poster/Demo Session Chair, Michigan AI Symposium, 2022.
Program Committee: ACL 2023, EMNLP 2023.
Reviewer: ARR (since 2023), ACL (since 2023), EMNLP (since 2022), COLING (since 2022), TMLR (since 2023).
* indicates equal contributions; § indicates mentoring.
Language Grounding to Human Interactions (esp. Theory of Mind)
Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models
Ziqiao Ma, Jacob Sansom, Run Peng, Joyce Chai
EMNLP Findings (Theme Track), 2023
Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue
Cristian-Paul Bara, Ziqiao Ma, Yingzhuo Yu, Julie Shah, Joyce Chai
Language Grounding to Vision (esp. Multimodal Learning)
Inversion-Free Image Editing with Natural Language
Sihan Xu*, Yidong Huang*, Jiayi Pan, Ziqiao Ma§, Joyce Chai
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation
Sihan Xu*, Ziqiao Ma*, Yidong Huang, Honglak Lee, Joyce Chai
World-to-Words: Grounded Open Vocabulary Acquisition through Fast Mapping in Vision-Language Models
Ziqiao Ma*, Jiayi Pan*, Joyce Chai
ACL (Outstanding Paper Award), 2023
Language Grounding to Robotics (esp. Embodied AI)
SEAGULL: An Embodied Agent for Instruction Following through Situated Dialog
Yichi Zhang, Jianing Yang, Keunwoo Peter Yu, Yinpei Dai, Shane Storks Yuwei Bao, Jiayi Pan, Nikhil Devraj, Ziqiao Ma, Joyce Chai
Alexa Prize SimBot Challenge (1st Place), 2023
DOROTHIE: Spoken Dialogue for Handling Unexpected Situations in Interactive Autonomous Driving Agents
Ziqiao Ma, Benjamin VanDerPloeg*, Cristian-Paul Bara*, Huang Yidong*, Eui-In Kim, Felix Gervits, Matthew Marge, Joyce Chai
EMNLP Findings, 2022
Presented at SereTOD Workshop, 2022
DANLI: Deliberative Agent for Following Natural Language Instructions
Yichi Zhang, Jianing Yang, Shane Storks, Jiayi Pan, Nikhil Devraj, Ziqiao Ma, Keunwoo Peter Yu, Yuwei Bao, Joyce Chai
EMNLP (Oral), 2022
Data-Efficient Learning on Semi-Structured Data
Partition-Based Active Learning for Graph Neural Networks
Jiaqi Ma*, Ziqiao Ma*, Joyce Chai, Qiaozhu Mei
TMLR (Survey Certificate), 2023
Presented at DLG-KDD Workshop (Oral), 2022
AI for Social Good and Community Services
NLP Reproducibility For All: Understanding Experiences of Beginners
Shane Storks, Keunwoo Peter Yu, Ziqiao Ma, Joyce Chai
ACL (Theme Track), 2023
Non-Academic: Game Design
I've been fortunate to have (co-)mentered and collaborated with these amazingly talented young researchers:
I understand that access to research oppotunities can be hard, particularly for beginners and the underrepresented.
If there is a match in research interests, I am happy to collaborate with undergrads and masters when I have the bandwidth.
Please check the following topics of interests and fill out our application form and indicate that you want to collaborate with me.
- Connecting language to the world: Understanding and generating situated language that is grounded to sensorimotor experiences and the physical world.
- Connecting language to humans: Cognitively motivated human-agent interaction and computational inquiry into human language acquisition/processing.
- Human-like Learning: Machine learning that is (inter)active, data-efficient and continual on (semi-)structured data.
- I was born and raised up in Chengdu, the home of pandas.
- I am proud of Chengdu Foreign Languages School, my high school, and identify myself as a CFLSer. 成外人永远不会成外人.
- I am INFJ according to the Myers-Briggs, and my friends said that I exhibit stereotypical traits of this personality type...lol
- I love literature and drama. I am particularly interested in Shakespeare's plays, ancient Chinese drama, Latin American literature, and modern Asian literature. Here is one of my essays about Cross-dressed Heroines in Comedies.
- I am a super fan of Nightwish.
My favourite album is Imaginaerum.
- Jimmy Zhang SDE @ Microsoft, Suzhou, China.
- Sway Ye Ph.D. @ SJTU, Shanghai, China.
- Joy Dong Ph.D. @ UMICH, Ann Arbor, US.
- Haoyang Zhang Ph.D. @ UIUC, Champaign, US.
- ...(if you want to get linked just message me 😏)
If you would like to have a random chat with me, please visit my calendly page.
Get In Touch
You are welcome to drop me a message :)
Bob and Betty Beyster Building 4909,
2260 Hayward Street,
Ann Arbor, MI 48109.