Bo Dong

Bo Dong

Senior Researcher at Xi'an Jiaotong University. Deputy Director of the Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering.

I am Bo Dong, a Senior Researcher at the School of Computer Science and Technology, Xi’an Jiaotong University (XJTU). I obtained my Bachelor’s and Ph.D. degrees in Computer Science and Engineering from Xi’an Jiaotong University in 2005 and 2014, respectively. My research interests include big data knowledge engineering and trustworthy AI. I have led one major project under the National Science and Technology Innovation 2030 “New Generation Artificial Intelligence” initiative, one subproject of the National Key Research and Development Program, one subproject of the National Natural Science Foundation of China Key Program, one project under the National Natural Science Foundation of China Young Scientists Fund, one key research and development project in Shaanxi Province, and one young academic backbone cultivation project in XJTU. Additionally, I have been involved in four horizontal projects. The national intelligent tax analysis platform and cloud computing security monitoring platform I have contributed to have been applied in several provinces and cities.

📝 Selected Publications

  • Wei Feng, Guoshuai Sheng, Qianqian Wang, Quanxue Gao, Zhiqiang Tao, Bo Dong. Partial Multi-View Clustering via Self-Supervised Network. Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), 11988-11995, March 25, 2024.
  • Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi, Qinghua Zheng. RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection. Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), 8246-8254, March 25, 2024.
  • Yuefei Wu, Bin Shi, Bo Dong, Qinghua Zheng, Hua Wei. The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution. Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), 21726-21734, March 25, 2024.
  • Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong. Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means. Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI-24).
  • Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong. Federated Multi-View Clustering via Tensor Factorization. Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI-24).
  • Rui Zhao, Bin Shi, Jianfei Ruan, Tianze Pan, Bo Dong. Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning. Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), 22809-22819.
  • Wei Feng, Dongyuan Wei, Qianqian Wang, Bo Dong, Quanxue Gao. Multi-view Clustering Based on Deep Non-negative Tensor Factorization. Proceedings of the 2024 ACM Multimedia Conference (ACM MM 2024).
  • Wei Feng, Zhenwei Wu, Qianqian Wang, Bo Dong, Quanxue Gao. Federated Fuzzy C-means with Schatten-p Norm Minimization. Proceedings of the 2024 ACM Multimedia Conference (ACM MM 2024).
  • Shuzhi Cao, Jianfei Ruan, Bo Dong*, Bin Shi. Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric Regularization. Proceedings of the 30th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024).
  • Qinghua Zheng, Shuzhi Cao, Jianfei Ruan, Rui Zhao, Bo Dong*. Label-noise learning via mixture proportion estimation. SCIENTIA SINICA Informationis, 2024.
  • Yuda Gao, Bin Shi, Bo Dong, Yiyang Wang, Lingyun Mi and Qinghua Zheng. Tax Evasion Detection with FBNE-PU Algorithm Based on PnCGCN and PU Learning, IEEE Transactions on Knowledge and Data Engineering (TKDE), VOL. 35, NO. 1, JANUARY 2023, 931-944.
  • Yiming Xu, Bin Shi, Teng Ma, Bo Dong, Haoyi Zhou, Qinghua Zheng. CLDG: Contrastive Learning on Dynamic Graphs. Proceedings of the 2023 IEEE 39th International Conference on Data Engineering (ICDE 2023), 696-707.
  • Zai Zhang, Bin Shi, Haokun Zhang, Huang Xu, Yaodong Zhang, Yuefei Wu, Bo Dong and Qinghua Zheng. NerCo: A Contrastive Learning Based Two-Stage Chinese NER Method[C]. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 23),5287-5295.
  • Bin Shi, Haiying Shen, Bo Dong and Qinghua Zheng. Memory/Disk Operation Aware Lightweight VM Live Migration. IEEE/ACM Transactions on Networking 30(4): 1895-1910 (2022).
  • Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Wei Feng, Chen Li. Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment. Proceedings of the 2022 AAAI Conference on Artificial Intelligence (AAAI-22), 36(6), 6721-6728.
  • Yating Lin, Kamkwai Wong, Yong Wang, Rong Zhang, Bo Dong, Huamin Qu, Qinghua Zheng. TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Groups. IEEE Transactions on Visualization and Computer Graphics, 27(2): 849-859 (2021).
  • Huan He, Qinghua Zheng, Bo Dong. VUSphere: Visual Analysis of Video Utilization in Online Distance Education. Proceedings of the 2018 IEEE Conference on Visual Analytics Science and Technology (IEEE VIS-VAST), pp. 25-35, October 21-26, 2018, Berlin, Germany, IEEE.

🎖 Honors and Awards

  • 2022 Shaanxi Provincial Natural Science First Prize, for “Theories, Methods, and Major Applications of Big Data Knowledge Engineering,” where I was the 3rd contributor.
  • 2020 China Automation Society Science and Technology Progress Special Prize, for “Personalized Intelligent Guidance Technology and Major Applications in Knowledge Forest,” where I was the 6th contributor.
  • 2018 Shaanxi Provincial Technological Invention First Prize, for “Key Technologies and Applications of Scenario-Aware Knowledge Map Navigation Mobile Learning,” where I was the 3rd contributor.
  • 2017 National Science and Technology Progress Second Prize, for “Key Technologies and Applications in Tax Big Data Computing and Services,” where I was the 6th contributor.
  • 18th China Patent Excellence Award, for “Identification Method of Tax Evasion-Related Enterprises Based on Taxpayer Interest Network Models,” where I was the 8th contributor.
  • 2015 Ministry of Education Science and Technology Progress First Prize, for “Key Technologies and Applications in National Tax Big Data Computing and Services,” where I was the 6th contributor.
  • 2013 China Electronics Society Science and Technology Progress First Prize, for “Key Technologies and Applications in National Electronic Tax Big Data Analysis,” where I was the 7th contributor.
  • 2009 IBM Global PhD Scholarship (one of 59 recipients worldwide that year, with 9 from China).

📖 Educations

  • 2014.07 - 2017.09, postdoctoral, Xi’an Jiaotong University, Xi’an Shaanxi.
  • 2005.09 - 2014.06, Ph.D. student, Xi’an Jiaotong University, Xi’an Shaanxi.
  • 2001.09 - 2005.07, Undergraduate, Xi’an Jiaotong University, Xi’an Shaanxi.