Exploring Collaboration with Group Pointer Interaction. - Florian Vogt; Justin Wong; Barry A. Po; Ritchie Argue; Sidney S. Fels; Kellogg S. Booth (Computer Graphics International, 2004)

Calibrating Function Point Backfiring Conversion Ratios Using Neuro-Fuzzy Technique. - Justin Wong; Danny Ho; Luiz Fernando Capretz (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008)

An investigation of using Neuro-Fuzzy with software size estimation. - Justin Wong; Danny Ho; Luiz Fernando Capretz (WoSQ@ICSE, 2009)

Blogging with CONTEXT: a context-aware information retrieval system for bloggers. - Anatoliy A. Gruzd; Justin Wong (IIiX, 2010)

China's Growing IT Services and Software Industry: Challenges and Implications. - F. Warren McFarlan; Ning Jia; Justin Wong (MIS Q. Executive, 2012)

A Neuro-Fuzzy Method to Improving Backfiring Conversion Ratios. - Justin Wong; Danny Ho; Luiz Fernando Capretz (CoRR, 2015)

CLN2INV: Learning Loop Invariants with Continuous Logic Networks. - Gabriel Ryan; Justin Wong; Jianan Yao; Ronghui Gu; Suman Jana (ICLR, 2020)

Learning nonlinear loop invariants with gated continuous logic networks. - Jianan Yao; Gabriel Ryan; Justin Wong; Suman Jana; Ronghui Gu (PLDI, 2020)

Addressing the IEEE AV Test Challenge with Scenic and VerifAI. - Kesav Viswanadha; Francis Indaheng; Justin Wong; Edward Kim 005; Ellen Kalvan; Yash Pant; Daniel J. Fremont; Sanjit A. Seshia (AITest, 2021)

A Meta Learning Approach to Discerning Causal Graph Structure. - Justin Wong; Dominik Damjakob (CoRR, 2021)

Scaled-Time-Attention Robust Edge Network. - Richard Lau; Lihan Yao; Todd Huster; William Johnson; Stephen Arleth; Justin Wong; Devin B. Ridge; Michael Fletcher; William C. Headley (CoRR, 2021)

Context-Aware Streaming Perception in Dynamic Environments. - Gur-Eyal Sela; Ionel Gog; Justin Wong; Kumar Krishna Agrawal; Xiangxi Mo; Sukrit Kalra; Peter Schafhalter; Eric Leong; Xin Wang 066; Bharathan Balaji; Joseph Gonzalez 001; Ion Stoica (ECCV (38), 2022)

The Wisdom of Hindsight Makes Language Models Better Instruction Followers. - Tianjun Zhang; Fangchen Liu; Justin Wong; Pieter Abbeel; Joseph E. Gonzalez (ICML, 2023)

Development and external evaluation of predictions models for mortality of COVID-19 patients using machine learning method. - Simin Li; Yulan Lin; Tong Zhu; Mengjie Fan; Shicheng Xu; Weihao Qiu; Can Chen; Linfeng Li; Yao Wang; Jun Yan; Justin Wong; Lin Naing; et al. (Neural Comput. Appl., 2023)

Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages. - Federico Mora 002; Justin Wong; Haley Lepe; Sahil Bhatia; Karim Elmaaroufi; George Varghese; Joseph E. Gonzalez; Elizabeth Polgreen; Sanjit Seshia (NeurIPS, 2024)

Stylus: Automatic Adapter Selection for Diffusion Models. - Michael Luo; Justin Wong; Brandon Trabucco; Yanping Huang; Joseph E. Gonzalez; Zhifeng Chen; Ruslan Salakhutdinov; Ion Stoica (NeurIPS, 2024)

Holding the Line: A Study of Writers' Attitudes on Co-creativity with AI. - Morteza Behrooz; Yuandong Tian; William Ngan; Yael Yungster; Justin Wong; David Zax (CoRR, 2024)

Synthetic Programming Elicitation and Repair for Text-to-Code in Very Low-Resource Programming Languages. - Federico Mora 002; Justin Wong; Haley Lepe; Sahil Bhatia; Karim Elmaaroufi; George Varghese; Joseph E. Gonzalez; Elizabeth Polgreen; Sanjit A. Seshia (CoRR, 2024)

SimpleStrat: Diversifying Language Model Generation with Stratification. - Justin Wong; Yury Orlovskiy; Michael Luo; Sanjit A. Seshia; Joseph E. Gonzalez (CoRR, 2024)

Autellix: An Efficient Serving Engine for LLM Agents as General Programs. - Michael Luo; Xiaoxiang Shi; Colin Cai; Tianjun Zhang; Justin Wong; Yichuan Wang; Chi Wang; Yanping Huang; Zhifeng Chen; Joseph E. Gonzalez; Ion Stoica (CoRR, 2025)

WorldModelBench: Judging Video Generation Models As World Models. - Dacheng Li; Yunhao Fang; Yukang Chen; Shuo Yang; Shiyi Cao; Justin Wong; Michael Luo; Xiaolong Wang 004; Hongxu Yin; Joseph E. Gonzalez; Ion Stoica; Song Han 003; et al. (CoRR, 2025)