Ho Yin (Sam) Ng 吳浩賢

Portrait of Ho Yin (Sam) Ng

Ph.D. student in Informatics · The Pennsylvania State University · Crowd-AI Lab
Advised by Dr. Ting-Hao (Kenneth) Huang

Designing technologies that amplify human agency.

I work where human-centered design meets AI and language—building systems that keep communication clear and trustworthy, while ensuring AI doesn't homogenize language or erase individual voices.

Research Focus

Click below a circle or a theme dot to explore the publications behind it

  • Figure Captioning Personalized & automated figure caption generation for scientific papers. EMNLP 2025: Findings TACL 2026
  • Human-AI Caption Writing How paper writers use AI-generated captions — thematic analyses of writing assistants. AI4Research @ AAAI 2025 ★ Best Paper In2Writing 2025
  • Language Varieties Measuring LLM performance disparities across language varieties with contextually aligned reviews. NAACL 2025
  • Color-Coded Reading Which color schemes help readers locate information in color-coded articles. IEEE VIS '24
  • Immersive Haptics Encountered-type haptics & immersive VR training. MovableBag UbiComp/ISWC '22 ★ Best Paper SIGGRAPH Asia '22 TAICHI '22 ★ People's Choice 1st Hit Around IEEE TVCG 2025 PressySofties CSCW '22 TAICHI '22 ★ People's Choice 3rd PressyCube ICMEW '22

Featured Publications

LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles

Ho Yin Sam Ng, Ting-Yao Hsu, Aashish Anantha Ramakrishnan, Branislav Kevton, Nedim Lipka, Franck Dernoncourt, Dongwon Lee, Tong Yu, Sungchul Kim, Ryan A Rossi, Ting-Hao Kenneth Huang.

EMNLP 2025: Findings

Understanding Writing Assistants for Scientific Figure Captions: A Thematic Analysis

Ho Yin Sam Ng, Ting-Yao Hsu, Jiyoo Min, Sungchul Kim, Ryan A. Rossi, Tong Yu, Hyunggu Jung, Ting-Hao Kenneth Huang.

In2Writing 2025

Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing

Ho Yin (Sam) Ng, Ting-Yao Hsu, Jiyoo Min, Sungchul Kim, Ryan A. Rossi, Tong Yu, Hyunggu Jung, Ting-Hao 'Kenneth' Huang.

AI4Research @ AAAI 2025

★ Best Paper Award

What Color Scheme is More Effective in Assisting Readers to Locate Information in a Color-Coded Article?

Ho Yin Ng, Zeyu He, Ting-Hao 'Kenneth' Huang.

VIS 2024

ALL PUBLICATIONS →

Bio

I am a first-year Ph.D. student in Informatics at Penn State's College of IST, working in the Crowd-AI Lab, advised by Dr. Ting-Hao (Kenneth) Huang. My research sits at the intersection of Human-Computer Interaction (HCI) and Natural Language Processing (NLP), applied to Scientific Communication — keeping scientific claims verifiable and authors' intent intact as generative AI becomes embedded in how research is produced and read. Before my Ph.D. I trained as an interaction designer (M.Des., Taipei Tech, in XR Lab, advised by Dr. Ping-Hsuan Han), which shapes how I build tools for researchers that are technically rigorous and genuinely usable.

My Journey Footprint

Every dot marks a place I've stood. Click any dot — each one carries a piece of the story that brought me here.

SHENZHEN HONG KONG NEW TERRITORIESKOWLOONHONG KONG ISLANDLANTAU ISLAND CENTRALWAN CHAI HKUST IBM