On the Automatic Generation of Medical Imaging Reports B Jing, P Xie, E Xing Proceedings of the 56th Conference of the Association for Computational …, 2018 | 560 | 2018 |
HDMI: High-order Deep Multiplex Infomax B Jing, C Park, H Tong Proceedings of The Web Conference 2021, 2021 | 143 | 2021 |
Show, Describe and Conclude: On Exploiting the Structure Information of Chest X-Ray Reports B Jing, Z Wang, E Xing Proceedings of the 57th Conference of the Association for Computational …, 2019 | 140 | 2019 |
Dynamic knowledge graph alignment Y Yan, L Liu, Y Ban, B Jing, H Tong Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4564-4572, 2021 | 80 | 2021 |
SODA: Detecting covid-19 in chest x-rays with semi-supervised open set domain adaptation J Zhou, B Jing, Z Wang, H Xin, H Tong IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021 | 47 | 2021 |
Graph Communal Contrastive Learning B Li, B Jing, H Tong Proceedings of The Web Conference 2022, 2022 | 44 | 2022 |
Adversarial Graph Contrastive Learning with Information Regularization S Feng, B Jing, Y Zhu, H Tong Proceedings of The Web Conference 2022, 2022 | 41 | 2022 |
Coarse Alignment of Topic and Sentiment: A Unified Model for Cross-Lingual Sentiment Classification D Wang, B Jing, C Lu, J Wu, G Liu, C Du, F Zhuang IEEE Transactions on Neural Networks and Learning Systems, 2020 | 40 | 2020 |
X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning B Jing, S Feng, Y Xiang, X Chen, Y Chen, H Tong Proceedings of the 31st ACM International Conference on Information and …, 2022 | 38* | 2022 |
Network of Tensor Time Series B Jing, H Tong, Y Zhu Proceedings of The Web Conference 2021, 2021 | 37 | 2021 |
Multiplex Graph Neural Network for Extractive Text Summarization B Jing, Z You, T Yang, W Fan, H Tong Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 32 | 2021 |
Adversarial Domain Adaptation Being Aware of Class Relationships Z Wang, B Jing, Y Ni, N Dong, P Xie, EP Xing 24th European Conference on Artificial Intelligence (ECAI 2020), 2020 | 19 | 2020 |
COIN: Co-Cluster Infomax for Bipartite Graphs B Jing, Y Yan, Y Zhu, H Tong NeurIPS 2022 GLFrontiers Workshop, 2022 | 17 | 2022 |
DNB: A joint learning framework for deep Bayesian nonparametric clustering Z Wang, Y Ni, B Jing, D Wang, H Zhang, E Xing IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7610-7620, 2021 | 16 | 2021 |
Cross-Domain Labeled LDA for Cross-Domain Text Classification B Jing, C Lu, D Wang, F Zhuang, C Niu 2018 IEEE International Conference on Data Mining (ICDM), 187-196, 2018 | 15 | 2018 |
Cross-Lingual Knowledge Transferring by Structural Correspondence and Space Transfer D Wang, J Wu, J Yang, B Jing, W Zhang, X He, H Zhang IEEE Transactions on Cybernetics, 2021 | 11 | 2021 |
Sterling: Synergistic representation learning on bipartite graphs B Jing, Y Yan, K Ding, C Park, Y Zhu, H Liu, H Tong Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 12976 …, 2024 | 10 | 2024 |
Reconciling Competing Sampling Strategies of Network Embedding Y Yan, B Jing, L Liu, R Wang, J Li, T Abdelzaher, H Tong Advances in Neural Information Processing Systems 36, 2023 | 10 | 2023 |
ArieL: Adversarial Graph Contrastive Learning S Feng, B Jing, Y Zhu, H Tong ACM Transactions on Knowledge Discovery from Data 18 (4), 1-22, 2024 | 4 | 2024 |
Retrieval Based Time Series Forecasting B Jing, S Zhang, Y Zhu, B Peng, K Guan, A Margenot, H Tong CIKM'22 AMLTS workshop, 2022 | 4 | 2022 |