Haoqi Zhang

About

Haoqi Zhang is an associate professor in Computer Science and Design at Northwestern University, with a courtesy appointment in Learning Sciences. His research advances the design of integrated socio-technical models that address complex problems and promote human values. His work bridges multiple disciplines including Computer Science, Design, Learning Science, Psychology, and Philosophy, and is supported by the National Science Foundation and the Center for Advancing Safety in Machine Intelligence. Zhang received his PhD in Computer Science and a BA in Computer Science and Economics from Harvard University. At Northwestern, he founded and directs the Design, Technology, and Research (DTR) program, which offers an innovative model for research-based learning and growth for over 180 students. Additionally, he co-directs the Delta Lab, an interdisciplinary research lab and design studio that spans computer science, learning sciences, and design, working on projects that explore complex socio-technical systems and human-centered design.

Research topics

• Natural Language Processing
• Computer Science
• Information Retrieval
• Artificial Intelligence
• World Wide Web
• General surgery
• Internal medicine
• Surgery
• Medicine

Selected publications

• The Undervalued Disciplinary and Emotional Support Provided By Teaching Assistants in Introductory Computer Science Courses

  Proceedings. · 2024-06-10 · 3 citations

  articleOpen access

  In computer science (CS) higher education, many students in introductory courses (CS1) struggle to learn programming due to both the complexity of the discipline and negative affective experiences while learning.Large class sizes hinder the opportunity to receive support that addresses both disciplinary knowledge and affective experiences, both of which have been shown to influence self-efficacy.Our work utilized a combination of structured daily diaries and retrospective interviews to surface p…

  PublisherOA PDFDOI

• Analysis of the Role and Communication Effect of Weibo Marketing Accounts from the Perspective of Network Information Communication:Taking "the Incident of Wang Xiaofei and Barbie Hsu (Da S)" as an Example

  Advances in Social Development and Education Research · 2024-07-16 · 1 citations

  articleOpen access1st authorCorresponding

  This study examines the role and impact of Weibo marketing accounts using the "Wang Xiaofei and Barbie Hsu (Da S) Incident" as a case study. It begins by defining Weibo marketing accounts, highlighting their active engagement in trending topics and their content patterns. Using a model of public opinion formation, the study explores how these accounts influence public discourse from inception to consensus formation stages. Analysis of both the propagation effects (such as amplification, catalysi…

  PublisherOA PDFDOI

• Multi-Token Residual Prediction

  arXiv (Cornell University) · 2026-05-12

  preprintOpen access

  Diffusion Language Models (DLMs) generate text by iteratively denoising masked token sequences, offering a tradeoff between parallelism and quality compared to autoregressive models. In current practice, the number of tokens decoded per step is controlled by a confidence threshold, and quality degrades monotonically as more tokens are denoised per step. We introduce Multi-token Residual Prediction (MRP), a lightweight module that enables dependency-aware multi-token denoising within a single bac…

  PublisherDOI

• Multi-Token Residual Prediction

  ArXiv.org · 2026-05-12

  articleOpen access

  Diffusion Language Models (DLMs) generate text by iteratively denoising masked token sequences, offering a tradeoff between parallelism and quality compared to autoregressive models. In current practice, the number of tokens decoded per step is controlled by a confidence threshold, and quality degrades monotonically as more tokens are denoised per step. We introduce Multi-token Residual Prediction (MRP), a lightweight module that enables dependency-aware multi-token denoising within a single bac…

  PublisherOA PDF

• MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising

  arXiv (Cornell University) · 2024-03-05

  preprintOpen access

  Online bidding and auction are crucial aspects of the online advertising industry. Conventionally, there is only one slot for ad display and most current studies focus on it. Nowadays, multi-slot display advertising is gradually becoming popular where many ads could be displayed in a list and shown as a whole to users. However, multi-slot display advertising leads to different cost-effectiveness. Advertisers have the incentive to adjust bid prices so as to win the most economical ad positions. I…

  PublisherOA PDFDOI

Recent grants

• CHS: Small: Coordination of Opportunistic Actions to Produce Globally Effective Behaviors for Physical Crowdsourcing

  NSF · $496k · 2016–2021

• EXP: Readily Available Learning Experiences: Turning the Entire Web into Progressive Examples to Bridge Conceptual Knowledge Gaps for Novice Web Developers

  NSF · $550k · 2017–2022

• EXP: Agile Research Studios: Scaling Cognitive Apprenticeship to Advance Undergraduate and Graduate Research Training in STEM

  NSF · $550k · 2016–2021

Frequent coauthors

• David C. Parkes

  14 shared

• Chunlu Tan

  12 shared

• Xubao Liu

  Sichuan University

  12 shared

• Darren Gergle

  Northwestern University

  11 shared

• Robert C. Miller

  Mayo Clinic in Florida

  11 shared

• Steven P. Dow

  University of California, San Diego

  10 shared

• Juho Kim

  Korea Advanced Institute of Science and Technology

  9 shared

• Elizabeth M. Gerber

  8 shared

Labs

• Design, Technology, and Research (DTR) programPI

Similar researchers at Northwestern University

• Tobin J. Marksh-176
• Joseph Hupph-171
• James D Thomash-160