👋 Howdy, I'm Houjun Liu!

I’m a incoming second year undergraduate student in the Computer Science Department at Stanford University, grateful to be advised by Prof. Mykel Kochenderfer. In the course of my research, I have also had the fortunate opportunity to work with Stanford NLP under Prof. Chris Manning, CMU TalkBank under Prof. Brian MacWhinney, and Prof. Xin Liu at UC Davis Engineering. I am affiliated with the Stanford NLP Group and Stanford Intelligent Systems Lab.

Welcome to my academic homepage! This is my little homestead on the internet about my academic interests. Check out my projects below. If you want to know more about the rest of my life, feel free to visit my website!

Recent goings on

Aug. 21, 24' Tech report article released on Batchalign2 engineering. Jul. 14, 24' ArXiv preprint released on LM red teaming. May. 18, 24' Journal Article (NACC) published@LWW AD Apr. 29, 24' ArXiv preprint released on POMDP LM decoding. Mar. 15, 24' TalkBank's Mandarin utterance segmentation model released. Jun. 22, 23' Paper (Batchalign) Published by JSLHR

Shoot me an email at [firstname] at stanford dot edu, or, if you are around Stanford, grab dinner with me :)

Research

I’m broadly interested in Natural Language Processing and Speech Language Sample Analysis; recently, I’ve been digging into 1) building better tools for language and speech processing to make state-of-the-art classic NLP tasks accessible and useful 2) using and designing improved mechanistic approaches to large language model decoding and understanding and 3) exploring the applications of these models on various applied domains such as dementia and emergency medicine.

Projects

TalkBank (2024)

Morphosyntactic Analysis for CHILDES

Liu, H., MacWhinney, B.

System Report@CMU LDR

SISL (2024)

ASTPrompter: Weakly Supervised Automated Language Model Red-Teaming to Identify Likely Toxic Prompts

Hardy, A.*, Liu, H.*, Lange, B., Kochenderfer M. J.

arXiv

UC Davis Health (2024)

A Transformer Approach to Congnitive Impairment Classification and Prediction

Liu, H., Weakley, A.M., Zhang, J., Liu, X.

Talk@NACCTalk@W3PHAI-24 at AAAIJournal Article@Alzheimer Dis. & Assoc. Disord.

Preprint (2024)

Plan of Thoughts: Heuristic-Guided Problem Solving with Large Language Models

Liu, H.

arXiv

TalkBank (2023)

Automation of Language Sample Analysis

Liu, H., MacWhinney, B., Fromm, D., Lanzi, A.

Journal Article@JSLHR Code@GitHub

TalkBank (2023)

DementiaBank: Theoretical Rationale, Protocol, and Illustrative Analyses

Lanzi, A., Saylor, A.K., Fromm, D., Liu, H., MacWhinney, B., Cohen, M.L.

Journal Article@AJSLP

Nueva (2022)

ConDef: Automated Context-Aware Lexicography Using Large Online Encyclopedias

Liu, H., Sayyah, Z.

Book Chapter@LNNSCode@GitHubTalk@SAI

Preprint (2021)

Towards Automated Psychotherapy via Language Modeling

Liu, H.

arXiv

Teaching

2023- Teaching Assistant, Stanford Association for Computing Machinery (ACM) Chapter
2022-2023 Head TA (co-instructor and summer lecturer) at AIFS AIBridge, a program funded by UC Davis Food Science
2021-2023 Co-Developer, Research@Nueva, a high-school science education program

Course Notes

Some folks have mentioned that my course notes through classes at Stanford and before have been helpful. Feel free to browse my Stanford UG Courses Index if you want to check it out!