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Zujie Liang

To the stars, through hardships.

Bio

My name is Zujie Liang (梁祖杰). I am currently a researcher at Ant Group (FinTech giant in China). Before that, I obtained my M.S. degree from Sun Yat-Sen University (SYSU) in 2022.

Now I am working on supply chain mining with NLP and Knowledge Graph (KG) techniques. My previous research broadly lies at the intersection of Natural Language Processing and Computer Vision, with a focus on three areas: 1) multimodal bias reduction; 2) open-ended Conversational AI; 3) flexible/controllable text generation. I am very interested in understanding various human-centric properties of AI models, such as interpretability, generalization, causality, fairness and bias.

I’m always open to discussion or collaboration. Please check my CV for latest update and drop me an E-mail if you’re interested.

News

  • [08/2023] One paper is accepted by CIKM 2023.
  • [05/2023] One paper about Lottery Prompt Tuning is accepted by ACL 2023.
  • [07/2022] I start my journey at Ant Group.
  • [04/2022] One paper is accepted by ICMR 2022.
  • [08/2021] One paper on recommender dialogue system is accepted by EMNLP 2021.
  • [06/2021] I am offered an ACM SIGIR 2021 Student Travel Grant.
  • [06/2021] I serve as PC Member for NLPCC 2021.
  • [05/2021] One paper on visual knowledge powered conversational agent is accepted by ACL 2021.
  • [03/2021] One paper on De-biased VQA is accepted by SIGIR 2021.
  • [09/2020] One paper on Robust VQA is accepted by EMNLP 2020.

Publications

  • Hierarchical Prompt Tuning for Few-Shot Multi-Task Learning
    Jingping Liu, Tao Chen, Zujie Liang, Haiyun Jiang, Yanghua Xiao, Feng Wei, Yuxi Qian, Zhenghong Hao, Bing Han.
    CIKM 2023. [paper (coming soon)]

  • Prompts Can Play Lottery Tickets Well: Achieving Lifelong Learning Information Extraction via Lottery Prompt Tuning
    Zujie Liang, Feng Wei, Jie Yin, Yuxi Qian, Zhenghong Hao, Bing Han.
    ACL 2023. [paper][code]

  • Maria: A Visual Experience Powered Conversational Agent
    Zujie Liang*, Huang Hu*, Can Xu, Chongyang Tao, Xiubo Geng, Yining Chen, Fan Liang, Daxin Jiang.
    ACL 2021. [paper][slides][code]

  • Learning Neural Templates for Recommender Dialogue System
    Zujie Liang*, Huang Hu*, Can Xu, Jian Miao, Yingying He, Yining Chen, Xiubo Geng, Fan Liang, Daxin Jiang
    EMNLP 2021. [paper][code]

  • LPF: A Language-Prior Feedback Objective Function for De-biased Visual Question Answering
    Zujie Liang, Haifeng Hu, Jiaying Zhu.
    SIGIR 2021. [paper][slides][code]

  • Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering
    Zujie Liang, Weitao Jiang, Haifeng Hu, Jiaying Zhu.
    EMNLP 2020. [paper][slides][code]

  • TransPCC: Towards Deep Point Cloud Compression via Transformers
    Zujie Liang, Fan Liang.
    ICMR 2022. [paper][code]

Work Experiences

  • Ant Group,
    Researcher, July. 2022 - Present.
  • Microsoft,
    Research Intern, Oct. 2020 - June. 2021.
  • Alibaba,
    Ads Algorithm Intern, June. 2021 - Sept. 2021.
  • Huawei,
    Software Development Engineear Intern, Jun. 2018 - Sept. 2018.

Academic Services

  • Reviewer: ICLR 2023, EACL 2023, ACL 2022, NLPCC 2022, NLPCC 2021, IJCAI 2021

Miscellanous