Ma, Jie (马 杰) is currently an assistant professor and a member of the Ministry of Education Key Lab for Intelligent Networks and Network Security at the Faculty of Electronic and Information Engineering (School of Cyber Science and Engineering), Xi'an Jiaotong University, China. His research interests span natural language processing and computer vision, with a particular focus on robust visual question answering, audio-visual question answering, textbook question answering, and knowledge graph question answering. Jie Ma was selected for the Youth Talent Support Program by the Shaanxi Association for Science and Technology. He has led several national and corporate projects, including those funded by the National Natural Science Foundation of China and the China Mobile-Xi'an Jiaotong University Joint Research Institute. He has published numerous papers in top international journals and conferences such as IEEE TPAMI, IJCV, IJCAI, and WSDM. He serves as a reviewer for several international journals, including IEEE TIP and TNNLS, and as a program committee member for international conferences like NeurIPS and AAAI.

The AR interaction system, Knowledge Forest, which he played a major role in developing, won the "Outstanding Product Award" at the 21st China International Hi-Tech Fair. He has also guided students to win the Gold Award at the 8th "Internet+" College Student Innovation and Entrepreneurship Competition and earned the title of "Outstanding Innovation and Entrepreneurship Mentor." Additionally, Jie Ma serves as a member of several committees: CAAI Intelligent Service Professional Committee, CIPS Professional Committee of Language and Knowledge Computing, CCF Information System Professional Committee, and IEEE Knowledge Engineering Standards Committee.

He is willing to collaborate with other people or businesses to explore interesting and valuable areas. Please feel free to contact him (email: jiema@xjtu.edu.cn).

📰 News

  • [10/2024] I served as a reviewer for AISTATS 2025.
  • [09/2024] One paper was accepted by NeurIPS 2024.
  • [08/2024] I served as a reviewer for ICLR 2025.
  • [07/2024] I served as a guest editor for the special issue of Electronics (JCR Q2).
  • [07/2024] One paper was accepted by Neural Networks.
  • [07/2024] One paper was accepted by 软件学报.
  • [05/2024] I served as a reviewer for NeurIPS 2024.
  • [05/2024] One paper was accepted by ICML 2024.
  • [04/2024] I served as a Program Committee Member for CIKM 2024.
  • [04/2024] I received the excellent doctoral thesis from Xi’an Jiaotong University.
More News
 
 28. [10/2024] I served as a reviewer for AISTATS 2025.
 27. [09/2024] One paper was accepted by NeurIPS 2024.
 26. [08/2024] I served as a reviewer for ICLR 2025.
 25. [07/2024] I served as a guest editor for the special issue of Electronics (JCR Q2).
 24. [07/2024] One paper was accepted by Neural Networks.
 23. [07/2024] One paper was accepted by 软件学报.
 22. [05/2024] I served as a reviewer for NeurIPS 2024.
 21. [05/2024] One paper was accepted by ICML 2024.
 20. [04/2024] I served as a Program Committee Member for CIKM 2024.
 19. [04/2024] I received the excellent doctoral thesis from Xi'an Jiaotong University
 18. [04/2024] I received funding from the Youth Talent Support Program of the Shaanxi Association for Science and Technology.
 17. [03/2024] The Family Brain White Paper 3.0 that I contributed to was published.
 16. [02/2024] One paper was accepted by IEEE TPAMI.
 15. [01/2024] One paper was accepted by WWW.
 14. [12/2023] I served as a Program Committee Member for IJCAI 2024.
 13. [11/2023] One paper was accepted by IJCV.
 12. [07/2023] I served as a Program Committee Member for AAAI 2024.
 11. [08/2023] I received funding from the National Natural Science Foundation of China Youth Program.
 10. [07/2023] One paper was accepted by IEEE TNNLS.
  9. [02/2023] I served as a Program Committee Member for IJCAI 2023.
  8. [11/2022] The undergraduate students I co-advised to compete in the eighth International College Students' Internet+ Innovation and Entrepreneurship Competition won the gold prize.
  7. [08/2022] I served as Program Committee Member for AAAI 2023.
  6. [07/2022] I received my Ph.D. degree from Xi'an Jiaotong University.
  5. [04/2022] I ended my visiting at National University of Singapore.
  4. [01/2022] I obtained an offer from Huawei Noah's Ark Lab.
  3. [10/2021] I ended the internship at Amazon.
  2. [07/2021] I was an applied scientist intern at Amazon.
  1. [04/2021] I was a visiting scholar at the National University of Singapore.
  

📝 Publications

NeurIPS 2024
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Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering
Jie Ma, Min Hu, Pinghui Wang, Wangchun Sun, Lingyun Song, Hongbin Pei, Jun Liu, Youtian Du, The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS).

IEEE TPAMI 2024
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Robust Visual Question Answering: Datasets, Methods, and Future Challenges
Jie Ma, Pinghui Wang, Dechen Kong, Zewei Wang, Jun Liu, Hongbin Pei, Junzhou Zhao, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI).

IJCV 2023
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Diagram Perception Networks for Textbook Question Answering via Joint Optimization
Jie Ma, Jun Liu, Qi Chai, Pinghui Wang, Jing Tao, International Journal of Computer Vision (IJCV).

IEEE TIP 2022
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Weakly Supervised Learning for Textbook Question Answering
Jie Ma, Qi Chai, Jingyue Huang, Jun Liu, Yang You, Qinghua Zheng, IEEE Transactions on Image Processing (IEEE TIP).

Preprint Papers

Published or Accepted Papers

📖 Services

I receive far more requests to review papers than I can possibly handle. As a selection criterion, I prefer to accept reviews of papers in my areas of expertise, as well as from journals and conferences that do not seek to extract excessive financial profit from the work that authors and reviewers provide to the scientific community for free.


Journal Editor

  • Electronics (JCR Q2) Guest Editor for the Special Issue “Interpretability and Analysis of Models for Natural Language Processing”

Journal Reviewer

  • IEEE Transactions on Image Processing (TIP)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • Neural Networks
  • Data & Knowledge Engineering (DKE)
  • Frontiers of Computer Science (FCS)

Conference Reviewer

  • Annual Conference on Neural Information Processing Systems (NeurIPS): 2024
  • AAAI Conference on Artificial Intelligence (AAAI): 2023, 2024
  • ACM International Conference on Information and Knowledge Management (CIKM): 2024
  • International Conference on Artificial Intelligence and Statistics (AISTATS): 2025
  • International Joint Conference on Artificial Intelligence (IJCAI): 2023, 2024
  • International Conference on Learning Representations (ICLR): 2020, 2025
  • International Conference on Web Information Systems and Applications (WISA): 2024

Standard Committee

  • IEEE Computer Society / Knowledge Engineering Standards Committee

💼 Work Experience

  • 10/2022 - Present, Assistant Professor, Faculty of Electronic and Information Engineering.

🏫 Educations

  • 09/2018 - 07/2022, PhD in CST, Xi’an Jiaotong University. Supervisor: Jun Liu.
  • 04/2021 - 04/2022, Visiting Scholars in CST, National University of Singapore. Supervisor: Yang You.
  • 09/2015 - 06/2018, MEng in CST, Chongqing University. Supervisor: Zhongyang Xiong.
  • 09/2011 - 06/2015, BSc in CST, Lanzhou University of Technology.

💬 Invited Talks

  • 12/2022, Textbook Question Answering for Online Education, WISA conference.
  • 02/2020, Jointly Optimized Neural Coreference Resolution with Mutual Attention, WSDM Conference.

💻 Internships

  • 07/2021 - 10/2021, Applied Scientist at Amazon.

🎖 Honors and Awards

  • 04/2024 Youth Talent Support Program of the Shaanxi Association for Science and Technology
  • 04/2024 Excellent Doctoral Thesis from Xi’an Jiaotong University
  • 04/2023 Excellent Innovation and Entrepreneurship Mentor
  • 07/2022 Study Abroad Scholarships & Grants (Top 1%)
  • 11/2019 The “Excellent Product Award” of the 21st China Hi-Tech Fair (Top 1%)
  • 10/2019 Excellent Graduate Student
  • 01/2018 Outstanding Graduate Student Cadres

🥼 REML Group

REliable Multimodality Learning Group pronunced as [`reml] group. The open source project of this group is here.

🌏 Visitors