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Han Zhao

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  • 2024

    Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards

    Wang, H., Lin, Y., Xiong, W., Yang, R., Diao, S., Qiu, S., Zhao, H. & Zhang, T., 2024, Long Papers. Ku, L.-W., Martins, A. F. T. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 8642-8655 14 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

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

  • Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts

    Wang, H., Xiong, W., Xie, T., Zhao, H. & Zhang, T., 2024, EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Association for Computational Linguistics (ACL), p. 10582-10592 11 p. (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024).

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

    Open Access

  • Mitigating the Alignment Tax of RLHF

    Lin, Y., Lin, H., Xiong, W., Diao, S., Liu, J., Zhang, J., Pan, R., Wang, H., Hu, W., Zhang, H., Dong, H., Pi, R., Zhao, H., Jiang, N., Ji, H., Yao, Y. & Zhang, T., 2024, EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Association for Computational Linguistics (ACL), p. 580-606 27 p. (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

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

    Open Access

  • Semi-Supervised Reward Modeling via Iterative Self-Training

    He, Y., Wang, H., Jiang, Z., Papangelis, A. & Zhao, H., 2024, EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Association for Computational Linguistics (ACL), p. 7365-7377 13 p. (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2024).

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

    Open Access
  • 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