Shengqiong Wu

I am currently a Ph.D. candidate at NExT++ Lab, advised by Prof. Chua Tat Seng in School of Computing at National University of Singapore, after I obtained my M.S. and Bachelor degrees from Wuhan University.

My research interest mainly lies in Scene Graph-based Vision-Language Understanding, with the contexts of Multimodal Large Language Models and Diffusion Model, etc. Previously, I focused on syntax-aided NLP, i.e., employing external syntactic and linguistic representation to aid NLP tasks.

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Aug. 2022 - Now                        School of Computing,   National University of Singapore,   Singapore
                                                              Ph.D. in Computer Science

Sep. 2019 - Jun. 2022             School of Cyber Science and Engineering,   Wuhan University,   China
                                                              M.S. in Computer Science

Sep. 2015 - Jun. 2019             School of Computer Science,   Wuhan University,   China
                                                              B.S. in Computer Science and Technology
  • Leigang Qu*, Shengqiong Wu*, Hao Fei, Liqiang Nie, Tat-Seng Chua.  LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation. In Proceedings of ACM MM. 2023.  (*: equal contribution, long)  [Code][pdf]
  • Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua.  Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling. In Proceedings of ACL. 2023.  (long, poster, best paper nomination, 1.6%)  [Code][pdf]
  • Shengqiong Wu, Hao Fei, Wei Ji, Tat-Seng Chua.  Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment. In Proceedings of ACL. 2023.  (long, oral)  [pdf]
  • Shengqiong Wu, Hao Fei, Fei Li, Meishan Zhang, Yijiang Liu, Chong Teng, Donghong Ji.  Mastering the Explicit Opinion-Role Interaction: Syntax-Aided Neural Transition System for Unified Opinion Role Labeling. In Proceedings of AAAI. 2022.  (long, online) [Code][pdf]
  • Shengqiong Wu, Hao Fei, Yafeng Ren, Donghong Ji, Jingye Li.  Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extraction with Rich Syntactic Knowledge. In Proceedings of IJCAI. 2021.  (long, online) [Code][pdf]
  • Shengqiong Wu, Hao Fei, Yafeng Ren, Bobo Li, Fei Li and Donghong Ji.   High-order Pair-wise Aspectand Opinion Terms Extraction with Edge-enhanced Syntactic Graph Convolution. IEEE/ACM TASLP. 2021. [Code][pdf]
  • Shengqiong Wu, Bobo Li, Dongdong Xie, Chong Teng and Donghong Ji.  Neural Transition Model for Aspect-based Sentiment Triplet Extraction with Triplet Memory. Neurocomputing. 2021.   [pdf]
  • ShengqiongWu, Hao Fei and Donghong Ji.  Aggressive Language Detection with Joint Text Normalization via Adversarial Multi-task Learning. In Proceedings of NLPCC. 2020.  (long, oral)[Code][pdf]
Work Experience

Jul. 2019 - Aug. 2019          China Merchants Bank, Wuhan, China
                                                          Information Technology Department Intern
                                                          Advisor: Hua Pan, General Manager

Jul. 2018 - Nov. 2018          YITU, ShangHai, China
                                                          Solution Engineer Intern
                                                          Advisor: Ze Deng
Honors & Awards

  • [2023]    Research Achievement Award of SoC, NUS.
  • [2022]    President's Graduate Fellowship of NUS.
  • [2022]    Excellent Graduated Graduate Student.
  • [2021]    Huawei Scholarship for graduate students.
  • [2021]    National Scholarship for graduate students.
  • [2021]    1st prize of Excellent Scholarship of Academy for M.S. Fellowship.
  • [2021]    1st prize of Extraordinary scholarship of academy.
  • [2020]    Outstanding graduate student award.
  • [2020]    2st prize of academic scholarship of Wuhan University for graduate.
  • [2017]    Excellent student cadre.
  • [2016-2019]    2st prize of academic scholarship of Wuhan University for undergraduate.
  • [2017]    National Encouragement Scholarship.
  • Skills and MISC

  • Coding
  • Deep Learning
  • Hobby