No photo of Han Zhao

View Scopus Profile

Han Zhao

Filter
Conference contribution

Search results

  • 2023

    SC2GAN: Rethinking Entanglement by Self-correcting Correlated GAN Space

    Chen, Z., Zhao, H., Aarabi, P. & Jiang, R., 2023, Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023. Institute of Electrical and Electronics Engineers Inc., p. 4459-4468 10 p. (Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs

    Mavromatis, C., Ioannidis, V. N., Wang, S., Zheng, D., Adeshina, S., Ma, J., Zhao, H., Faloutsos, C. & Karypis, G., 2023, Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Proceedings. Koutra, D., Plant, C., Gomez Rodriguez, M., Baralis, E. & Bonchi, F. (eds.). Springer, p. 157-173 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14171 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2022

    Exploring Gradient-Based Multi-directional Controls in GANs

    Chen, Z., Jiang, R., Duke, B., Zhao, H. & Aarabi, P., 2022, Computer Vision – ECCV 2022 - 17th European Conference, 2022, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer, p. 104-119 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13683 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Greedy Modality Selection via Approximate Submodular Maximization

    Cheng, R., Balasubramaniam, G., He, Y., Tsai, Y. H. H. & Zhao, H., 2022, Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022. Association For Uncertainty in Artificial Intelligence (AUAI), p. 389-399 11 p. (Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Invariant Information Bottleneck for Domain Generalization

    Li, B., Shen, Y., Wang, Y., Zhu, W., Reed, C., Li, D., Keutzer, K. & Zhao, H., Jun 30 2022, AAAI-22 Technical Tracks 7. Association for the Advancement of Artificial Intelligence, p. 7399-7407 9 p. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; vol. 36).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Rethinking Controllable Variational Autoencoders

    Shao, H., Yang, Y., Lin, H., Lin, L., Chen, Y., Yang, Q. & Zhao, H., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 19228-19237 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Rethinking Task Sampling for Few-shot Vision-Language Transfer Learning

    Wang, Z., Yu, H., Li, M., Zhao, H. & Ji, H., 2022, COLING 2022 - 29th International Conference on Computational Linguistics - Proceedings of the 1st Workshop on Performance and Interpretability Evaluations of Multimodal, Multipurpose, Massive-Scale Models, MMMPIE 2022. Association for Computational Linguistics (ACL), p. 7-14 8 p. (Proceedings - International Conference on Computational Linguistics, COLING).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2021

    Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation

    Wang, H., Zhao, H. & Li, B., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 10991-11002 12 p. (Proceedings of Machine Learning Research; vol. 139).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • EventKE: Event-Enhanced Knowledge Graph Embedding

    Zhang, Z., Wang, H., Zhao, H., Tong, H. & Ji, H., 2021, Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021. Moens, M.-F., Huang, X., Specia, L. & Yih, S.W.-T. (eds.). Association for Computational Linguistics (ACL), p. 1389-1400 12 p. (Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Information Obfuscation of Graph Neural Networks

    Liao, P., Zhao, H., Xu, K., Jaakkola, T., Gordon, G., Jegelka, S. & Salakhutdinov, R., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 6600-6610 11 p. (Proceedings of Machine Learning Research; vol. 139).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning Invariant Representations and Risks for Semi-supervised Domain Adaptation

    Li, B., Wang, Y., Zhang, S., Li, D., Keutzer, K., Darrell, T. & Zhao, H., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. IEEE Computer Society, p. 1104-1113 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • Machine Learning for Consumers and Markets

    Wang, W., Zhao, H., Lee, D. D. & Chen, G. H., Aug 14 2021, KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 4165-4166 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections

    Li, P., Wang, Y., Zhao, H., Hong, P. & Liu, H., 2021, International Conference on Learning Representations.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Quantifying and Improving Transferability in Domain Generalization

    Zhang, G., Zhao, H., Yu, Y. & Poupart, P., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 10957-10970 14 p. (Advances in Neural Information Processing Systems; vol. 14).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Understanding and Mitigating Accuracy Disparity in Regression

    Chi, J., Tian, Y., Gordon, G. J. & Zhao, H., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 1866-1876 11 p. (Proceedings of Machine Learning Research; vol. 139).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2020

    DyCRS: Dynamic Interpretable Postoperative Complication Risk Scoring

    Wang, W., Zhao, H., Zhuang, H., Shah, N. & Padman, R., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, p. 1839-1850 12 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access

  • On learning language-invariant representations for universal machine translation

    Zhao, H., Hu, J. & Risteski, A., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 11289-11301 13 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-15).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2019

    Active learning of strict partial orders: A case study on concept prerequisite relations

    Liang, C., Ye, J., Zhao, H., Pursel, B. & Giles, C. L., 2019, EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining. Lynch, C. F., Merceron, A., Desmarais, M. & Nkambou, R. (eds.). International Educational Data Mining Society, p. 348-353 6 p. (EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Deep generative and discriminative domain adaptation

    Zhao, H., Hu, J., Zhu, Z., Coates, A. & Gordon, G., 2019, 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 2315-2317 3 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 4).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • On learning invariant representations for domain adaptation

    Zhao, H., des Combes, R. T., Zhang, K. & Gordon, G. J., 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 12985-12999 15 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • On strategyproof conference peer review

    Xu, Y., Zhao, H., Shi, X. & Shah, N. B., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 616-622 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
  • 2018

    Convolutional-Recurrent Neural Networks for Speech Enhancement

    Zhao, H., Zarar, S., Tashev, I. & Lee, C. H., Sep 10 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2401-2405 5 p. 8462155. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2018-April).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Frank-Wolfe optimization for symmetric-NMF under simplicial constraint

    Zhao, H. & Gordon, G., 2018, 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018. Globerson, A., Globerson, A. & Silva, R. (eds.). Association For Uncertainty in Artificial Intelligence (AUAI), p. 124-134 11 p. (34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2016

    Collapsed variational inference for Sum-Product Networks

    Zhao, H., Adel, T., Gordon, G. & Amos, B., 2016, 33rd International Conference on Machine Learning, ICML 2016. Weinberger, K. Q. & Balcan, M. F. (eds.). International Machine Learning Society (IMLS), p. 1981-2000 20 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 3).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2015

    On the relationship between sum-product networks and Bayesian networks

    Zhao, H., Melibari, M. & Poupart, P., 2015, 32nd International Conference on Machine Learning, ICML 2015. Bach, F. & Blei, D. (eds.). International Machine Learning Society (IMLS), p. 116-124 9 p. (32nd International Conference on Machine Learning, ICML 2015; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Self-adaptive hierarchical sentence model

    Zhao, H., Lu, Z. & Poupart, P., 2015, IJCAI 2015 - Proceedings of the 24th International Joint Conference on Artificial Intelligence. Wooldridge, M. & Yang, Q. (eds.). International Joint Conferences on Artificial Intelligence, p. 4069-4076 8 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2015-January).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • SoF: Soft-cluster matrix Factorization for probabilistic clustering

    Zhao, H., Poupart, P., Zhang, Y. & Lysy, M., Jun 1 2015, Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015. AI Access Foundation, p. 3188-3195 8 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 4).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2013

    Global network alignment in the context of aging

    Milenković, T., Zhao, H. & Faisal, F. E., 2013, 2013 ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics, ACM-BCB 2013. p. 23-32 10 p. (2013 ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics, ACM-BCB 2013).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Using global network alignment in the context of aging

    Milenković, T., Zhao, H. & Faisal, F. E., 2013, 2013 ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics, ACM-BCB 2013. p. 661 1 p. (2013 ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics, ACM-BCB 2013).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution