(Publications marked with '*' order authors alphabetically.)

  1. Zhen Wang, Bo Zong, and Huan Sun. Modeling Context Pair Interaction for Pairwise Tasks on Graphs, WSDM'21. [pdf]

  2. Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, and Xiang Zhang. Learning to Drop: Robust Graph Neural Network via Topological Denoising, WSDM'21. [pdf]

  3. Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, and Wei Wang. Robust Graph Representation Learning via Neural Sparsification, ICML'20. [pdf]

  4. Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, and Yun Fu. Inductive and Unsupervised Representation Learning on Graph Structured Objects, ICLR'20. [pdf]

  5. Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, and Xiang Zhang. Parameterized Explainer for Graph Neural Network, NeurIPS'20. [pdf]

  6. Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, and Wei Wang. Node Classification in Temporal Graphs through Stochastic Sparsification and Temporal Structural Convolution, ECML-PKDD'20. [pdf]

  7. Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, and Hui Xiong. T2-Net: A Semi-supervised Deep Model for Turbulence Forecasting, ICDM'20. [pdf]

  8. Lu Wang, Wenchao Yu, Xiaofeng He, Wei Cheng, Martin Renqiang Ren, Wei Wang, Bo Zong, Haifeng Chen, and Hongyuan Zha. Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes, WWW'20. [pdf]

  9. Dongkuan Xu, Wei Cheng, Bo Zong, Dongjing Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, and Xiang Zhang. Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series, AAAI'20. [pdf]

  10. Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, and Gerard de Melo. Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation, AAAI'20. [pdf]

  11. Dixian Zhu, Dongjin Song, Yuncong Chen, Cristian Lumezanu, Wei Cheng, Bo Zong, Jingchao Ni, Takehiko Mizoguchi, Tianbao Yang, and Haifeng Chen. Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval, AAAI'20. [pdf]

  12. Xuchao Zhang, Wei Cheng, Bo Zong, Yuncong Chen, Jianwu Xu, Ding Li, and Haifeng Chen. Temporal Context-Aware Representation Learning for Question Routing, WSDM'20. [pdf]

  13. Wenchao Yu, Wei Cheng, Charu Aggarwal, Bo Zong, Haifeng Chen, and Wei Wang. Self-Attentive Attributed Network Embedding Through Adversarial Learning, ICDM'19. [pdf]

  14. Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, and Xiang Zhang. Adaptive Neural Network for Node Classification in Dynamic Networks, ICDM'19. [pdf]

  15. Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, and Xiang Zhang. Deep Co-Clustering, SDM'19. [pdf]

  16. Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, and Nitesh V. Chawla. A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data, AAAI'19. [pdf]

  17. Qi Song, Bo Zong, Yinghui Wu, Lu-An Tang, Hui Zhang, Guofei Jiang, and Haifeng Chen. TGNet: Learning to Rank Nodes in Temporal Graphs, CIKM'18. [pdf]

  18. Bo Zong, Qi Song, Martin Renqiang Min, Wei Cheng, Cristian Lumezanu, Daeki Cho, and Haifeng Chen. Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, ICLR'18. [pdf]

  19. Mingda Li, Cristian Lumezanu, Bo Zong, and Haifeng Chen. Deep Learning IP Network Representations, in Big-DAMA'18 (SIGCOMM 2018 Workshop on Big Data Analytics and Machine Learning for Data Communication Networks) (Best paper award). [pdf]

  20. Wenchao Yu, Cheng Zheng, Wei Cheng, Charu Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, and Wei Wang. Learning Deep Network Representations with Adversarially Regularized Autoencoders, KDD'18. [pdf]
  21. Xiaohan Zhao, Bo Zong, Ziyu Guan, Kai Zhang, and Wei Zhao. Substructure Assembling Network for Graph Classification, AAAI'18. [pdf]

  22. Biplob Debnath, Mohiuddin Solaimani, Muhammad Ali Gulzar, Nipun Arora, Cristian Lumezanu, Jianwu Xu, Bo Zong, Hui Zhang, Guofei Jiang, and Latifur Khan. LogLens: A Real-time Log Analysis System, ICDCS'18. [pdf]

  23. Bo Zong, Xusheng Xiao, Zhichun Li, Zhenyu Wu, Zhiyun Qian, Xifeng Yan, Ambuj K. Singh, and Guofei Jiang. Behavior Query Discovery in System-Generated Temporal Graphs, VLDB'16. [pdf] [full version] [slides]

  24. Bo Zong, Christos Gkantsidis, and Milan Vojnovic. Herding "Small" Streaming Queries, DEBS'15. [pdf]

  25. Bo Zong, Yinghui Wu, Jie Song, Ambuj K. Singh, Hasan Cam, Jiawei Han, and Xifeng Yan. Towards Scalable Critical Alert Mining, KDD'14. [slides] [pdf]

  26. Bo Zong, Ramya Raghavendra, Mudhakar Srivatsa, Xifeng Yan, Ambuj K. Singh, and Kang-Won Lee. Cloud Service Placement via Subgraph Matching, ICDE'14. [slides] [pdf]

  27. Bo Zong, Yinghui Wu, Ambuj K. Singh, and Xifeng Yan. Inferring the Underlying Structure of Information Cascades, ICDM'12. [slides] [pdf]

  28. Shengqi Yang, Xifeng Yan, Bo Zong, and Arijit Khan. Towards Effective Partition Management for Large Graphs, SIGMOD'12. [pdf]

  29. * Misael Mongiovi, Konstantinos Psounis, Ambuj K. Singh, Xifeng Yan, and Bo Zong. Efficient Multicasting for Delay Tolerant Networks using Graph Indexing, INFOCOM'12. [pdf]

  30. Bo Zong, Feng Xu, Jun Jiao, and Jian Lu. A Broker-assisting Trust and Reputation System Based on Artificial Neural Network, SMC’09.

  31. Bo Zong, Feng Xu, Jing Pan, and Jian Lu. Comparing and Evaluating Collection Strategies in Trust-Based Reputation Systems in Distributed Environments, Symposia and Workshops at UIC-ATC'09.

  32. Journals

  33. Vishwakarma Singh, Bo Zong, and Ambuj K. Singh. Nearest Keyword Set Search in Multi-dimensional Datasets, TKDE 2016 . [pdf]

keywords: Bo Zong, Graph learning, Deep Learning, Graph Neural Networks, Big Data, Big Graph, Graph analytics, Data Mining, Graph Mining, Dynamic Graphs, Network Dynamics, Temporal Graphs