Tong Zhao
Orcid: 0000-0001-7660-1732Affiliations:
- Snap Inc., Bellevue, WA, USA
- University of Notre Dame, IN, USA
According to our database1,
Tong Zhao
authored at least 57 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., December, 2023
IEEE Trans. Knowl. Data Eng., 2023
IEEE Data Eng. Bull., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022
Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance.
ACM Trans. Intell. Syst. Technol., 2022
Commun. Inf. Syst., 2022
Proceedings of the Learning on Graphs Conference, 2022
Proceedings of the Learning on Graphs Conference, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction.
CoRR, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements.
CoRR, 2019
The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Actionable Objective Optimization for Suspicious Behavior Detection on Large Bipartite Graphs.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018