Dingmin Wang

Department of Computer Science,
University of Oxford

Email: dingmin.wang[at]cs.ox.ac.uk
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Biography

I am a final-year DPhil (Ph.D.) candidate at the University of Oxford, fortunately advised by Bernardo Cuenca Grau and Przemysław Andrzej Wałęga. My DPhil studies at Oxford are conducted under the auspices of an EPSRC Studentship. I am also fortunate to be selected as a member of 2020 Oxford Clarendon Scholars. Previously, I worked as a full-time NLP reseacher at Tencent. I obtained my M.Eng. degree from Department of Computer Science, Tsinghua University in 2018.

I am broadly interested in natural language processing and deep learning, with a particular focus on developing efficient and explainable artificial intelligence systems. My current research interests include:

• Applications of Large Language Models (question answering, code generation, etc.)
• Symbolic AI (reasoning over temporal data using DatalogMTL)
• Temporal Knowledge Graphs & Graph Neural Networks
• Neuro-symbolic AI (e.g., integration of symbolic knowledge into deep learning models, exploring the expressive power of deep learning models by establishing connections between GNNs and well-known logical formalisms, etc.)

I am currently on the job market. Please kindly reach out for any opportunities.

Recent News

• [12/2023] A paper got accepted by TACL

• [12/2023] A paper got accepted by AAAI 2024

• [11/2023] 2023 Chinese Government Award for Outstanding Self-financed Students Abroad (650 Chinese students around the world per year)

• [10/2023] Happy to receive the NeurIPS 2023 Scholar Award

• [09/2023] A paper about logical expressivity of GNNs in a multi-relational context got accepted by NeurIPS 2023

• [07/2023] A paper got accepted by ECAI 2023

• [05/2023] A paper got accepted by KDD 2023

• [02/2023] A paper got accepted by Journal of Semantic Web

• [11/2022] Two papers got accepted by AAAI 2023 as oral presentation

Publications [Google Scholar Profile]

Natural Lanugage Processing & Deep Learning

• Retrieve What You Need: A Mutual Learning Framework for Open-domain Question Answering,
  Dingmin Wang, Qiuyuan Huang, Matthew Jackson, Jianfeng Gao.
  TACL, 2024. [PDF] [CODE]
  To Appear

• Working Memory Capacity of ChatGPT: An Empirical Study,
  Dongyu Gong, Xingchen Wan, Dingmin Wang.
  AAAI, 2024. [To appear] [PDF] [CODE]
  

• An Empirical Study of Retrieval-enhanced Graph Neural Networks,
  Dingmin Wang, Shengchao Liu, Hanchen Wang, Bernardo Cuenca Grau, Linfeng Song, Jian Tang, Le Song, Qi Liu.
  ECAI, 2023. [PDF] [CODE]
  

• Counterfactual Video Recommendation for Duration Debiasing,
  Shisong Tang, Qing Li, Dingmin Wang, Ci Gao, Wentao Xiao, Dan Zhao, Yong Jiang, Qian Ma, Aoyang Zhang.
  KDD, 2023. [PDF]
  

• Knowledge-based Temporal Fusion Network for Interpretable Online Video Popularity Prediction,
  Shisong Tang, Qing Li, Xiaoteng Ma, Ci Gao, Dingmin Wang, Yong Jiang, Qian Ma, Aoyang Zhang, Hechang Chen.
  WWW, 2022. [PDF]
  

• A Template-guided Hybrid Pointer Network for Knowledge-based Task-oriented Dialogue Systems,
  Dingmin Wang, Ziyao Chen, Wanwei He, Li Zhong, Yunzhe Tao, Min Yang.
  DialDoc@ACL, 2021. [PDF] [CODE]
  

• Fast and Scalable Dialogue State Tracking with Explicit Modular Decomposition,
  Dingmin Wang, Chenghua Lin, Qi Liu, Kam-Fai Wong.
  NAACL, 2021. [PDF]
  

• Confusionset-guided Pointer Networks for Chinese Spelling Check,
  Dingmin Wang, Yi Tay, Li Zhong.
  ACL, 2019. [PDF]
  

• A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check,
  Dingmin Wang, Yan Song, Jing Li, Jialong Han, Haisong Zhang.
  EMNLP, 2018. [PDF][CODE]
  

• A New Benchmark and Evaluation Schema for Chinese Typo Detection and Correction,
  Dingmin Wang,Gabriel Pui Cheong Fung, Maxime Debosschere, Shichao Dong, Jia Zhu, Kam-Fai Wong.
  AAAI-SA, 2018. [PDF][CODE]
  

• Bridging the Gap: Improve Part-of-speech Tagging for {C}hinese Social Media Texts with Foreign Words,
  Dingmin Wang, Meng Fang, Yan Song, Juntao Li.
  SemDeep@IJCAI, 2019. [PDF]

• NLPTEA 2017 Shared Task – Chinese Spelling Check,
  Gabriel Pui Cheong Fung, Maxime Debosschere, Dingmin Wang, Bo Li, Jia Zhu, and Kam-Fai Wong.
  IJCNLP Shared Task, 2017. [PDF]
  

Symbolic AI (Temporal Logic)

• Practical Reasoning in DatalogMTL,
  Dingmin Wang, Pan Hu, Przemysław Andrzej Wałęga, Bernardo Cuenca Grau.
  Under consideration in Theory and Practice of Logic Programming (TPLP), 2023. [PDF] [CODE]

• Stream reasoning with DatalogMTL,
  Przemysław Andrzej Wałęga, Mark Kaminski, Dingmin Wang, Bernardo Cuenca Grau.
  Journal of Semantic Web. [PDF] [CODE]

• Materialisation-based Reasoning in DatalogMTL with Bounded Intervals,
  Przemysław Andrzej Wałęga, Michał Zawidzki, Dingmin Wang, Bernardo Cuenca Grau.
  AAAI, 2023. [PDF] [CODE]

• Stream reasoning with DatalogMTL,
  Przemysław Andrzej Wałęga, Mark Kaminski, Dingmin Wang, Bernardo Cuenca Grau.
  Journal of Semantic Web. [PDF] [CODE]

• Seminaïve Materialisation in DatalogMTL,
  Dingmin Wang, Przemysław Andrzej Wałęga, Bernardo Cuenca Grau.
  Declarative AI, 2022. [PDF] [CODE]
  

• MeTeoR: Practical Reasoning in Datalog with Metric Temporal Operators,
  Dingmin Wang, Pan Hu, Przemysław Andrzej Wałęga, Bernardo Cuenca Grau.
  AAAI, 2022. [PDF] [CODE]

Neuro-symbolic & Explainable AI

• Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs,
  Dingmin Wang, Yeyuan Chen.
  NeurIPS, 2023. [PDF] [CODE]

• Efficient Embeddings of Logical Variables for Query Answering over Incomplete Knowledge Graphs,
  Dingmin Wang, Yeyuan Chen, Bernardo Cuenca Grau.
  AAAI, 2023. [PDF] [CODE]

Other Papers

• HQTimer: A Hybrid Q-Learning-Based Timeout Mechanism in Software-Defined Networks,
  Qing Li, Nanyang Huang, Dingmin Wang, Xiaowen Li, Yong Jiang, Zhendong Song.
  IEEE Trans. Network and Service Management (TNSM), 2019. [PDF]
  

Work Experiences

Tencent Cloud AI, Shenzhen
Researcher, July. 2018 - Oct. 2020

Tencent AI Lab, Shenzhen
Research Intern, advised by Yan Song, Dec. 2017 - Jun. 2018

The Chinese University of Hong Kong
Research Assistant, advised by Kam-Fai Wong and Gabriel Fung, Feb. 2017 - Dec. 2017

Microsoft, Beijing
Software Engineer Intern, advised by Martin Cai, Jun. 2015 - Aug. 2015

Selected Honors & Awards

NeurIPS 2023 Scholar Award, Outstanding Reviewer of ICML 2022
First Prize in Stream Reasoning Hackathon, 2021
EPSRC Studentship, University of Oxford, 2020
Clarendon Scholar, University of Oxford, 2020
Bronze Medal in BAAI-JD Dialogue Challenge, 2019
First Prize Scholarship for Student Professional Practice, Tsinghua University, 2015
Second Prize Scholarship, Tsinghua University, 2014
Outstanding Gradaute Among College Students in Beijing, 2015
Principal Scholarship, Highest Honor for Undergraduates, North China Electric Power University, 2015
China National Scholarship, 2014

Professional Services

ACL Rolling Review
Program Committee Member of AAAI, COMSYS, Instruction@NeurIPS 2023
Program Committee Member of AAAI, ICML, WWW, 2022
Program Committee Member of EMNLP, AAAI, NLPCC, 2021
Invited Reviewer for TKDE 2023
Invited Reviewer for Neurocomputing 2020, 2021
Invited Reviewer for TALLIP 2020, 2021