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SHORT BIO

Hi there🤗! I am a Postdoc Research Fellow at University of Michigan—Ann Arbor working with Dr. David Jurgens jointly affiliated with School of Information and UMich CSE since 2023.8. I accomplished my Ph.D. at PennState University during 2019.9 - 2023.7, advised by Dr. Ting-hao (Kenneth) Huang and closely worked with Dr. Sherry Tongshuang Wu from CMU. I feel very fortunate to be trained by and work with my amazing advisors. Thank you all 🧡!

Also, I conducted speech processing research during my research interns with the fantastic Google AI Research and Amazon Alexa AI teams. My amazing advisors include Dr. Andreas Stolcke, Dr. Vicky Zayats, Dr. Yuguang Yang, Dr. Jari Kolehmainen, etc. I appreciate all of them here!

Additionally, I appreciate the wonderful year working with Dr. Brian D. Davison at Lehigh University. Before this, I've received my B.S. and M.S. degrees from University of Science and Technology Beijing and Renmin University of China, respectively.

I will be on the academic and industrial job market in Fall 2024! Happy to connect with and learn from more professors and researchers! 🤗

RESEARCH INTEREST

I am broadly interested in helping humans explain and communicate with AI models (e.g., large language models) via interactions or conversations and, moreover, enhancing AI models by aligning their behavior with human values and feedback.

Research keywords: human-AI alignment, human-AI interaction and collaboration, human-centered AI explanation and fairness, interactive and conversational AI explanations, AI-assisted writing support systems, etc.


NEWS
  • June-2024 Our Bidirectional Human-AI Alignment survey paper is finally out! Thanks to all my amazing teammates and fabulous advisors, truly wonderful to collaborate with you all🧡!
  • Mar-2024 Our LLM-based Tutor Agent for Human Debugging paper is accepted by AIED'24. Congrats and Thanks to my dear and amazing coauthors🧡!
  • Mar-2024 Our Design Space for Intelligent and Interactive Writing Assistants paper is accepted by CHI'24. Congrats and Thanks to our super cool teams and leads🤗!
  • Jan-2024 Happy to serve as an AC for the CHI 2024 Late Breaking Works and a mentor for NAACL Student Research Workshop 2024☺️.
  • Dec-2023 Attended EMNLP'23 in person and give a oral talk for my Goolge intern paper and a live demo for my collaborative Gentopia.AI work. Super enjoyed the time learning from excellent researchers and having fun with my loving friends at Singapore!🤗!
  • Nov-2023 Honored to be selected as one of the President's Postdoctoral Fellowship Program (PPFP) Candidates in UMich and to give a talk about my latest work! Really enjoyed talking with so many amazing professors in UMich CSE, truly appreciate you ALL and my mentors' support🧡!
  • Nov-2023 Participating and giving a lightning talk at Rising Stars of Data Science located at UChicago. Thanks for having me and meeting you all here 🤗!
  • Oct-2023 Gave a talk at MISC at Umich. Thank you for the wonderful time and discussion with the amazing professors, researchers, and friends here 🧡!
  • Oct-2023 Received the Best Demo in CSCW 2023 conference for our ConvXAI work. Thanks a loooot for all your support 🧡!
  • Oct-2023 Received the Google Research Science Conference Scholarships for our EMNLP 2023 MultiTurnCleanup work. Thank you for Google Research and my dear mentors and managers for supporting me!⭐!
  • Oct-2023 Selected as one of the 2023 Rising Stars of Data Science hosted by UChicago and UC San Diego. Truly appreciate my dear friend who brought me this great news and dear advisors who recommended me 🧡!
  • Oct-2023 Our Google AI Research intern work MultiTurnCleanup, and a LLM-agents Demo Gentopia.AI (collaborating with many amazing researchers) have been accepted by EMNLP 2023 main conference and system demonstration. Thanks to my dear mentors and coauthors 🧡!
  • Sep-2023 Starting my Postdoc research at Umich and enjoying the wonderful people and life🎁 at Ann Arbor🌞!
  • Aug-2023 Our paper Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts? being accepted by HCOMP2023!🥳 See our new study conducting human collaborative evaluation (i.e., turing test resemblance) on distinguishing LLM-generated v.s. Human-written texts!
  • Jul-2023 Invited to be the PC member of EMNLP 2023 Industry Track. Thanks for the invitation!
  • Jul-2023 Excited to give an on-site talk @Carnegie Mellon University and enjoyed the amazing time meeting with the terrific professors and students in Auton Lab. Thank you all!
  • Jun-2023 I'll attend ACL 2023 in person @Toronto during July 9-14. I'm excited to meet my old and new NLP friends again, and feel free to DM me to meet up!
  • Jun-2023 Our ConvXAI paper is accepted by CSCW 2023 Demo!🥳 Please see the project combo (i.e., papers, system code, unified XAI API, live demo, and video) of this exciting work :)
  • Jun-2023 Excited to serve on the PC member of the ICML 2023 AI and HCI Workshop, and reviewer of EMNLP 2023. Thanks for your invitation!
  • May-2023 Thrilled to give an on-site talk @Princeton University and enjoyed the wonderful time meeting with amazing professors and students in Looking Glass Lab and Visual AI Lab!
  • Mar-2023 Our ScatterShot paper got Best Paper Honorable Mention Award. Thank you to all my dear co-authors and the IUI chairs!

  • Mar-2023 Our paper, Parachute: Evaluating Interactive Human-LM Co-writing Systems is accepted by CHI 2023 In2Writing Workshop. Thanks to my advisors' support. Thrilled to meet my HCI friends @Hamburg this April/2023!
  • Jan-2023 I gave a talk @Google Research for my intern project. Thanks for my dear mentors' and friends' participation and support!
  • Dec-2022 I serve as a PC member of the NLP Interpretability Track for ACL 2023. Glad to review amazong works submitted to ACL 2023!
  • Sep-2022 I'm glad to give a talk at the Notre Dame NL+ seminar on and share our latest work on Human-centered Explainable AI. Look forward to meeting and discussing with Notre Dame NLPer friends!
  • Sep-2022 I will join Google AI as a researcher intern during the Fall semester. Would love to meet more old and new friends at Seattle again!
  • Aug-2022 Accepted the reviewer invitation from the NeurIPS 2022 Workshop on Human Evaluation of Generative Models. Looking forward to reviewing the papers in this amazing workshop!
  • Aug-2022 I passed my Ph.D. comprehensive exam and become a Ph.D. candidate! I appreciate all the valuable feedbacks from my dear committee members including Dr. Ting-hao (Kenneth) Huang, Dr. Mary Beth Rosson, Dr. C. Lee Giles, Dr. S. Shyam Sundar, Dr. Sherry Tongshuang Wu. Thank you all!
  • July-2022 I'm serving as a review committee member for the Interpretability track at EMNLP 2022. Thank the co-chairs for your nice invitation!
  • July-2022 I'm attending NAACL 2022 in person. Excited to meeting amazing NLPer friends again at Seattle!
  • May-2022 I'm joining Amazon Alexa AI ASR Language Modeling team as an applied scientist intern in May and will move to Seattle during the summer!
  • Apr-2022 I'm attending CHI'22 in person. Looking forward to hanging out with my old and new friends in New Orleans!
  • Feb-2022 Our short paper, Are Shortest Rationales the Best Explanations for Human Understanding? is accepted by ACL 2022 main conference. Thank you, my co-authors and advisor!
  • Jan-2022 Our paper, Improving Fairness in Speaker Verification via Group-adapted Fusion Network is accepted by ICASSP 2022. Thank you to all my advisors!
  • Aug-2021 I am fortunately nominated for Microsoft Research PhD Fellowship by the office of the department chair at The PennState University. Thank you!
  • May-2021 Our paper on analyzing gaps between user needs and NLP explanations is accepted by CHI'21 HCXAI Workshop as an oral presentation. Our Paper and the Website are available!
  • Mar-2021 I will join Amazon Alexa AI research group as an Applied Scientist Intern in 2021 summer! I appreciate everyone who helped me and look forward to joining the research team to learn!
  • Feb-2021 I serve as a PC member of the NLP Interpretability Track for ACL-IJCNLP 2021. Grateful to my First-time ACL reviewer mentor, Dr. Marco Tulio Ribeiro, Thank you, ACL'21!
  • Feb-2021 PennState IST award for Graduate Student Travel Grant on our AI Interpretation work. Thank you, IST!
  • Oct-2020 Penn State News wrote a nice post about our AI Interpretation work. Thank you, PennState!
  • Oct-2020 Our paper on usefulness evaluatation for AI interpretations is accepted by HCOMP 2020! I will present our work with a talk at HCOMP on Oct 28, 2020.
  • May-2020 I passed the Ph.D. Qualifying Exam of IST College at PennState!