A Broker-Assisting Trust and Reputation System Based on Artificial Neural Network. - Bo Zong; Feng Xu 007; Jun Jiao; Jian Lv 001 (SMC, 2009)

Inferring the Underlying Structure of Information Cascades. - Bo Zong; Yinghui Wu 001; Ambuj K. Singh; Xifeng Yan (ICDM, 2012)

Efficient multicasting for delay tolerant networks using graph indexing. - Misael Mongiovì; Ambuj K. Singh; Xifeng Yan; Bo Zong; Konstantinos Psounis (INFOCOM, 2012)

Towards effective partition management for large graphs. - Shengqi Yang; Xifeng Yan; Bo Zong; Arijit Khan 001 (SIGMOD Conference, 2012)

Cloud service placement via subgraph matching. - Bo Zong; Ramya Raghavendra; Mudhakar Srivatsa; Xifeng Yan; Ambuj K. Singh; Kang-Won Lee (ICDE, 2014)

Towards scalable critical alert mining. - Bo Zong; Yinghui Wu 001; Jie Song; Ambuj K. Singh; Hasan Çam; Jiawei Han 001; Xifeng Yan (KDD, 2014)

Herding "small" streaming queries. - Bo Zong; Christos Gkantsidis; Milan Vojnovic (DEBS, 2015)

Behavior Query Discovery in System-Generated Temporal Graphs. - Bo Zong; Xusheng Xiao; Zhichun Li; Zhenyu Wu 003; Zhiyun Qian; Xifeng Yan; Ambuj K. Singh; Guofei Jiang (Proc. VLDB Endow., 2015)

Mining and Managing Large-Scale Temporal Graphs. - Bo Zong (2015)

Nearest Keyword Set Search in Multi-Dimensional Datasets. - Vishwakarma Singh; Bo Zong; Ambuj K. Singh (IEEE Trans. Knowl. Data Eng., 2016)

Substructure Assembling Network for Graph Classification. - Xiaohan Zhao; Bo Zong; Ziyu Guan; Kai Zhang; Wei Zhao 019 (AAAI, 2018)

TGNet: Learning to Rank Nodes in Temporal Graphs. - Qi Song 004; Bo Zong; Yinghui Wu 001; Lu-An Tang; Hui Zhang 002; Guofei Jiang; Haifeng Chen (CIKM, 2018)

LogLens: A Real-Time Log Analysis System. - Biplob Debnath; Mohiuddin Solaimani; Muhammad Ali Gulzar; Nipun Arora; Cristian Lumezanu; Jianwu Xu; Bo Zong; Hui Zhang 002; Guofei Jiang; Latifur Khan (ICDCS, 2018)

Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection. - Bo Zong; Qi Song; Martin Renqiang Min; Wei Cheng 002; Cristian Lumezanu; Dae-ki Cho; Haifeng Chen (ICLR (Poster), 2018)

Learning Deep Network Representations with Adversarially Regularized Autoencoders. - Wenchao Yu; Cheng Zheng 004; Wei Cheng 002; Charu C. Aggarwal; Dongjin Song; Bo Zong; Haifeng Chen; Wei Wang 010 (KDD, 2018)

Deep Learning IP Network Representations. - Mingda Li; Cristian Lumezanu; Bo Zong; Haifeng Chen (Big-DAMA@SIGCOMM, 2018)

Learning IP network representations. - Mingda Li; Bo Zong; Cristian Lumezanu; Haifeng Chen (Comput. Commun. Rev., 2018)

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data. - Chuxu Zhang; Dongjin Song; Yuncong Chen; Xinyang Feng; Cristian Lumezanu; Wei Cheng 002; Jingchao Ni; Bo Zong; Haifeng Chen; Nitesh V. Chawla (AAAI, 2019)

Adaptive Neural Network for Node Classification in Dynamic Networks. - Dongkuan Xu; Wei Cheng 002; Dongsheng Luo; Yameng Gu; Xiao Liu 039; Jingchao Ni; Bo Zong; Haifeng Chen; Xiang Zhang 001 (ICDM, 2019)

Self-Attentive Attributed Network Embedding Through Adversarial Learning. - Wenchao Yu; Wei Cheng 002; Charu C. Aggarwal; Bo Zong; Haifeng Chen; Wei Wang 010 (ICDM, 2019)

Deep Co-Clustering. - Dongkuan Xu; Wei Cheng 002; Bo Zong; Jingchao Ni; Dongjin Song; Wenchao Yu; Yuncong Chen; Haifeng Chen; Xiang Zhang 001 (SDM, 2019)

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. - Xin Dong 010; Jingchao Ni; Wei Cheng 002; Zhengzhang Chen; Bo Zong; Dongjin Song; Yanchi Liu; Haifeng Chen; Gerard de Melo (AAAI, 2020)

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. - Dongkuan Xu; Wei Cheng 002; Bo Zong; Dongjin Song; Jingchao Ni; Wenchao Yu; Yanchi Liu; Haifeng Chen; Xiang Zhang 001 (AAAI, 2020)

Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval. - Dixian Zhu; Dongjin Song; Yuncong Chen; Cristian Lumezanu; Wei Cheng 002; Bo Zong; Jingchao Ni; Takehiko Mizoguchi; Tianbao Yang; Haifeng Chen (AAAI, 2020)

T2-Net: A Semi-supervised Deep Model for Turbulence Forecasting. - Denghui Zhang; Yanchi Liu; Wei Cheng 002; Bo Zong; Jingchao Ni; Zhengzhang Chen; Haifeng Chen; Hui Xiong 001 (ICDM, 2020)

Inductive and Unsupervised Representation Learning on Graph Structured Objects. - Lichen Wang; Bo Zong; Qianqian Ma; Wei Cheng 002; Jingchao Ni; Wenchao Yu; Yanchi Liu; Dongjin Song; Haifeng Chen; Yun Fu 001 (ICLR, 2020)

Robust Graph Representation Learning via Neural Sparsification. - Cheng Zheng 004; Bo Zong; Wei Cheng 002; Dongjin Song; Jingchao Ni; Wenchao Yu; Haifeng Chen; Wei Wang 010 (ICML, 2020)

Parameterized Explainer for Graph Neural Network. - Dongsheng Luo; Wei Cheng 002; Dongkuan Xu; Wenchao Yu; Bo Zong; Haifeng Chen; Xiang Zhang 001 (NeurIPS, 2020)

Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution. - Cheng Zheng 004; Bo Zong; Wei Cheng 002; Dongjin Song; Jingchao Ni; Wenchao Yu; Haifeng Chen; Wei Wang 010 (ECML/PKDD (3), 2020)

Temporal Context-Aware Representation Learning for Question Routing. - Xuchao Zhang; Wei Cheng 002; Bo Zong; Yuncong Chen; Jianwu Xu; Ding Li 001; Haifeng Chen (WSDM, 2020)

Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱. - Lu Wang 029; Wenchao Yu; Xiaofeng He; Wei Cheng 002; Martin Renqiang Ren; Wei Wang 010; Bo Zong; Haifeng Chen; Hongyuan Zha (WWW, 2020)

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. - Yinjun Wu; Jingchao Ni; Wei Cheng 002; Bo Zong; Dongjin Song; Zhengzhang Chen; Yanchi Liu; Xuchao Zhang; Haifeng Chen; Susan B. Davidson (AAAI, 2021)

Multi-Task Recurrent Modular Networks. - Dongkuan Xu; Wei Cheng 002; Xin Dong 010; Bo Zong; Wenchao Yu; Jingchao Ni; Dongjin Song; Xuchao Zhang; Haifeng Chen; Xiang Zhang 001 (AAAI, 2021)

Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. - Jingchao Ni; Zhengzhang Chen; Wei Cheng 002; Bo Zong; Dongjin Song; Yanchi Liu; Xuchao Zhang; Haifeng Chen (CIKM, 2021)

Aspect-based Sentiment Classification via Reinforcement Learning. - Lichen Wang; Bo Zong; Yunyu Liu; Can Qin; Wei Cheng 002; Wenchao Yu; Xuchao Zhang; Haifeng Chen; Yun Fu 001 (ICDM, 2021)

Unsupervised Concept Representation Learning for Length-Varying Text Similarity. - Xuchao Zhang; Bo Zong; Wei Cheng 002; Jingchao Ni; Yanchi Liu; Haifeng Chen (NAACL-HLT, 2021)

Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection. - Dongkuan Xu; Wei Cheng 002; Jingchao Ni; Dongsheng Luo; Masanao Natsumeda; Dongjin Song; Bo Zong; Haifeng Chen; Xiang Zhang 001 (SDM, 2021)

Learning to Drop: Robust Graph Neural Network via Topological Denoising. - Dongsheng Luo; Wei Cheng 002; Wenchao Yu; Bo Zong; Jingchao Ni; Haifeng Chen; Xiang Zhang 001 (WSDM, 2021)

Modeling Context Pair Interaction for Pairwise Tasks on Graphs. - Zhen Wang 041; Bo Zong; Huan Sun 001 (WSDM, 2021)

Unsupervised Document Embedding via Contrastive Augmentation. - Dongsheng Luo; Wei Cheng 002; Jingchao Ni; Wenchao Yu; Xuchao Zhang; Bo Zong; Yanchi Liu; Zhengzhang Chen; Dongjin Song; Haifeng Chen; Xiang Zhang 001 (CoRR, 2021)

Merlion: A Machine Learning Library for Time Series. - Aadyot Bhatnagar; Paul Kassianik; Chenghao Liu; Tian Lan 006; Wenzhuo Yang; Rowan Cassius; Doyen Sahoo; Devansh Arpit; Sri Subramanian; Gerald Woo; Amrita Saha; Arun Kumar Jagota; et al. (CoRR, 2021)

Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages? - Junxiang Wang; Xuchao Zhang; Bo Zong; Yanchi Liu; Wei Cheng 002; Jingchao Ni; Haifeng Chen; Liang Zhao 002 (CoRR, 2021)

Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph. - Liyan Xu; Xuchao Zhang; Bo Zong; Yanchi Liu; Wei Cheng 002; Jingchao Ni; Haifeng Chen; Liang Zhao 002; Jinho D. Choi (AAAI, 2022)

Deep Federated Anomaly Detection for Multivariate Time Series Data. - Wei Zhu 015; Dongjin Song; Yuncong Chen; Wei Cheng 002; Bo Zong; Takehiko Mizoguchi; Cristian Lumezanu; Haifeng Chen; Jiebo Luo 001 (IEEE Big Data, 2022)

Merlion: End-to-End Machine Learning for Time Series. - Aadyot Bhatnagar; Paul Kassianik; Chenghao Liu; Tian Lan 006; Wenzhuo Yang; Rowan Cassius; Doyen Sahoo; Devansh Arpit; Sri Subramanian; Gerald Woo; Amrita Saha; Arun Kumar Jagota; et al. (J. Mach. Learn. Res., 2023)

Graph Substructure Assembling Network With Soft Sequence and Context Attention. - Yaming Yang 002; Ziyu Guan; Wei Zhao 019; Weigang Lu; Bo Zong (IEEE Trans. Knowl. Data Eng., 2023)