Ma, Jie (马杰) is currently an assistant professor and a member of the MOE KLINNS Lab at the Faculty of Electronic and Information 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. He is 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 serves as a guest editor for the special issue of some international journals such as Information Fusion and Electornics. He has published numerous papers in top international journals and conferences such as IEEE TPAMI, IJCV, NeurIPS, and ICML. He serves as a reviewer for several international journals, such as IEEE TIP and TNNLS, and as a program committee member for international conferences like NeurIPS and ICLR.

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

[11/2024] I served as a reviewer for CVPR 2025.
[10/2024] I served as a guest editor for the special issue of Information Fusion.
[10/2024] I served as a chair for the intelligent education forum in SMP 2024.
[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.

More News

 31. [11/2024] I served as a reviewer for CVPR 2025.
 30. [10/2024] I served as a guest editor for the special issue  of Information Fusion.
 29. [10/2024] I served as a chair for the intelligent education forum in SMP 2024.
 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

Featured Publications

NeurIPS 2024

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

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

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

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

Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui, Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models, ArXiv, 2024.
Jie Ma, Pinghui Wang, Zewei Wang, Decheng Kong, Min Hu, Ting Han, Jun Liu, Adaptive Loose Optimization for Robust Question Answering, ArXiv, 2023.

Published or Accepted Papers

Jie Ma, Min Hu, Pinghui Wang, Wangchun Sun, Lingyun Song, Hongbin Pei, Jun Liu, Youtian Du, Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering, The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
Lingyun Song, Xuequn Shang, Ruizhi Zhou, Jun Liu, Jie Ma, Zhanhuai Li, Mingxuan Sun, A Multi-Group Multi-Stream Attribute Attention Network for Fine-Grained Zero-Shot Learning, Neural Networks (NN), 2024.
马杰, 孙望淳, 王平辉, 张若非, 李帅鹏, 苏洲, 基于相关性提示的知识图谱问答, 软件学报, 2024.
Hongbin Pei, Yu Li, Huiqi Deng, Jingxin Hai, Pinghui Wang, Jie Ma, Jing Tao, Yuheng Xiong, Xiaohong Guan, Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing, The Forty-first International Conference on Machine Learning (ICML), 2024.
Jie Ma, Pinghui Wang, Dechen Kong, Zewei Wang, Jun Liu, Hongbin Pei, Junzhou Zhao, Robust Visual Question Answering: Datasets, Methods, and Future Challenges, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2024.
Hongbin Pei, Yuheng Xiong, Pinghui Wang, Jing Tao, Jialun Liu, Huiqi Deng, Jie Ma, Xiaohong Guan, Memory Disagreement: A Pseudo-Labeling Measure from Training Dynamics for Semi-supervised Graph Learning, The International Conference of World Wide Web (WWW), 2024.
Jie Ma, Jun Liu, Qi Chai, Pinghui Wang, Jing Tao, Diagram Perception Networks for Textbook Question Answering via Joint Optimization, International Journal of Computer Vision (IJCV), 2023.
Yuecheng Rong, Juntao Yao, Jun Liu, Yifan Fang, Wei Luo, Hao Liu, Jie Ma, Zepeng Dan, Jinzhu Lin, Zhi Wu, Yan Zhang, Chuanming Zhang, GBTTE: Graph Attention Network Based Bus Travel Time Estimation, The 32th ACM International Conference on Information and Knowledge Management (CIKM), 2023.
Jie Ma, Qi Chai, Jun Liu, Qingyu Yin, Pinghui Wang, Qinghua Zheng, XTQA: Span-Level Explanations of the Textbook Question Answering, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2023.
Yaxian Wang, Jun Liu, Jie Ma, Hongwei Zeng, Lingling Zhang, Junjun Li, Dynamic Dual Graph Networks for Textbook Question Answering, Pattern Recognition (PR), 2023.
Jie Ma, Qi Chai, Jingyue Huang, Jun Liu, Yang You, Qinghua Zheng, Weakly Supervised Learning for Textbook Question Answering, IEEE Transactions on Image Processing (IEEE TIP), 2022.
Yufei Li, Xiangyu Zhou, Jie Ma, Xiaoyong Ma, Pengzhen Cheng, Tieliang Gong, Chen Li, Distinguished Representation of Identical Mentions in Bio-entity Coreference Resolution, BMC Medical Informatics and Decision Making, 2022.
Jie Ma,Jun Liu, Qika Lin, Bei Wu, Yaxian Wang, Yang You, Multitask Learning for Visual Question Answering, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2021.
Jie Ma, Jun Liu, Yaxian Wang, Junjun Li, and Tongliang Liu, Relation-Aware Fine-Grained Reasoning Network for Textbook Question Answering, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2021.
Qika Lin, Jun Liu, Yudai Pan, Lingling Zhang, Xin Hu, Jie Ma, Rule-enhanced Iterative Complementation for Knowledge Graph Reasoning, Information Sciences, 2021.
Xin Hu, Jun Liu, Jie Ma, Yudai Pan, Lingling Zhang, Fine-Grained 3D-Attention Prototypes for Few-Shot Learning, Neural Computation, 2020.
Qian Li, Qingyuan Hu, Yong Qi, Saiyu Qi, Jie Ma, Jian Zhang, Stochastic Batch Augmentation with an Effective Distilled Dynamic Soft Label Regularizer, International Joint Conferences on Artificial Intelligence (IJCAI), 2020.
Jie Ma, Jun Liu, Yufei Li, Xin Hu, Yudai Pan, Shen Sun, Qika Lin, Jointly Optimized Neural Coreference Resolution with Mutual Attention, International Conference on Web Search and Data Mining (WSDM), 2020.
麻珂欣, 魏笔凡, 马杰, 刘均, 黄毅, 胡珉, 冯俊兰, 知识主题间先序关系挖掘, 大数据, 2020.
Jiang Xie, Zhongyang Xiong, Yufang Zhang, Yong Feng, JieMa, Density Core-based Clustering Algorithm with Dynamic Scanning Radius, Knowledge-Based Systems (KBS), 2018.

📖 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”
Information Fusion (JCR Q1) Guest Editor for the Special Issue “GenAI for Information Fusion”

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
IEEE Conference on Computer Vision and Pattern Recognition (CVPR): 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.

Jie Ma (马杰)