Jing Gu

Jing Gu

Ph.D. student at the University of California, Santa Cruz.

I am Jing Gu, a Ph.D student at the University of California, Santa Cruz working with Prof. Xin (Eric) Wang. Previously I was a master student at the University of California, Davis working with Prof. Zhou Yu. I was in Google Research as an intern working in 2022 summer, and a research intern at Adobe in 2023.

News

[2023.10] Our workshop AVLR (Advances in Language and Vision Research) 2024 is accepted to be held at ACL 2024!
[2023.10] Our paper R2H has been accepted by EMNLP 2023!
[2023.09] PHOTOSWAP is accepted to NeurIPS 2023!
[2023.06] Our SlugJARVIS team wins the Third Place ($50,000) in the inaugural Alexa Prize SimBot Challenge! [Media Coverage]
[2022.11] One paper accepted to AACL Finding!
[2022.08] Our paper JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents is on arXiv!
[2022.05] Our SlugJARVIS team won the Alexa Prize SimBot Public Benchmark Challenge! [Media Coverage]
[2022.04] Invited Talk in Chinese about Vision-and-Language Navigation in AI Drive! [Video in Chinese]
[2022.03] One paper about Vision-and-Language Navigation Survey accepted to ACL 2022!
[2022.03] Our SlugJARVIS team received an Amazon Alexa Prize Award to work on Alexa Prize SimBot Challenge. [link]
[2021.09] Started Ph.D. journey at UCSC!
[2021.05] One short paper accepted to ACL 2021!
[2021.04] One paper accepted to EACL 2021!
[2020.11] One paper accepted to AAAI 2021!
[2020.09] One paper accepted to EMNLP Finding!
[2020.10] One paper accepted to EMNLP WNUT workshop!

Research

My research interests are mainly Computer Vision, Natural Langauge Processing, and Embodied AI.

Publication & Manuscript

  • Muffin or Chihuahua? Challenging Large Vision-Language Models with Multipanel VQA
    Yue Fan, Jing Gu, Kaiwen Zhou, Qianqi Yan, Shan Jiang, Ching-Chen Kuo, Xinze Guan, Xin Eric Wang
    Under Review
    [Paper] [Website] [Code] [Data]

  • SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual Editing
    Jing Gu, Yilin Wang, Nanxuan Zhao, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, HyunJoon Jung, Xin Eric Wang
    Under Review

  • PHOTOSWAP: Personalized Subject Swapping in Images
    Jing Gu, Yilin Wang, Nanxuan Zhao, Tsu-Jui Fu, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, HyunJoon Jung, Xin Eric Wang
    NeurIPS 2023
    [paper] [code] [website]

  • R2H: Building Multimodal Navigation Helpers that Respond to Help
    Yue Fan, Jing Gu, Kaizhi Zheng, Xin Eric Wang
    EMNLP 2023
    [paper]

  • SlugJARVIS: Multimodal Commonsense Knowledge-based Embodied AI for SimBot Challenge
    Jing Gu*, Kaizhi Zheng*, Kaiwen Zhou Yue Fan, Xuehai He Jialu Wang Zonglin Di, Xin Eric Wang
    Alexa Prize SimBot Challenge Proceedings
    [paper]

  • JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents
    Kaizhi Zheng*, Jing Gu*, Kaiwen Zhou*, Yue Fan*, Jialu Wang*, Zonglin Di, Xuehai He, Xin Eric Wang
    Preprint
    SoCal NLP 2022
    Winner Model of the Alexa Prize SimBot Public Benchmark Challenge [link]
    [paper]

  • Memformer: Memory-Augmented Transformer
    Qingyang Wu, Zhenzhong Lan, Jing Gu, Zhou Yu
    in Proc. of AACL 2022 Findings
    [paper]

  • Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions
    Jing Gu*, Eliana Stefani, Qi Wu, Jesse Thomason, Xin Eric Wang
    in Proc. of ACL 2022
    [paper] [code]

  • A Tailored Pre-Training Model for Task-Oriented Dialog Generation
    Jing Gu*, Qingyang Wu*, Chongruo Wu, Weiyan Shi, Zhou Yu
    in Proc. of ACL 2021
    [paper] [code]

  • Perception Score, a Learned Metric for Open-ended Text Generation Evaluation
    Jing Gu, Qingyang Wu, Zhou Yu
    in Proc. of AAAI 2021
    [paper]

  • Data Annealing for Informal Language Understanding Tasks
    Jing Gu, Zhou Yu
    in Proc. of EMNLP 2020 Findings
    [paper]

  • Flow-Aware Structual Model for Conversational Question Generation
    Jing Gu, Mostafa Mirshekari, Zhou Yu, Aaron Sisto
    in Proc. of EACL 2021 [paper] [code]

  • ConQuest: Contextual Question Paraphrasing through Answer-Aware Synthetic Question Generation
    Mostafa Mirshekari, Jing Gu, Aaron Sisto
    EMNLP 2021 WNUT Workshop [paper]

Service

Program Committe Member (Reviewer)

  • ACL 2021, Sigdial 2021, EMNLP 2021, NeurIPS 2021, ICLR 2022, ACL Rolling Review 2021&2022, NeurIPS 2022, EMNLP 2022, ACL 2023, ICML 2023, IEEE RA-L 23, EMNLP 2023, NeurIPS 2023

Honors & Awards

Misc

  • Teaching Assitant for Machine Learning, 2021
  • Teaching Assitant for Natural Language Processing, 2019
  • Teaching Assitant for Machine Dependent Programming, 2020
  • Research Scientist in Searchable AI Corp., 2020

One last word

Keep Hungry!