Han Zhao 0002 - researchr alias

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Viewing Publication 1 - 45 from 45

2023

2GAN: Rethinking Entanglement by Self-correcting Correlated GAN SpaceZikun Chen, Han Zhao 0002, Parham Aarabi, Ruowei Jiang. iccvw 2023: 4459-4468 [doi]

Revisiting Scalarization in Multi-Task Learning: A Theoretical PerspectiveYuzheng Hu, Ruicheng Xian, Qilong Wu 0002, Qiuling Fan, Lang Yin, Han Zhao 0002. nips 2023: [doi]

Understanding the Impact of Adversarial Robustness on Accuracy DisparityYuzheng Hu, Fan Wu, Hongyang Zhang, Han Zhao 0002. icml 2023: 13679-13709 [doi]

Understanding and Constructing Latent Modality Structures in Multi-Modal Representation LearningQian Jiang, Changyou Chen, Han Zhao 0002, Liqun Chen, Qing-ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi. cvpr 2023: 7661-7671 [doi]

Structural Re-weighting Improves Graph Domain AdaptationShikun Liu, Tianchun Li, Yongbin Feng, Nhan Tran, Han Zhao 0002, Qiang Qiu, Pan Li. icml 2023: 21778-21793 [doi]

Train Your Own GNN Teacher: Graph-Aware Distillation on Textual GraphsCostas Mavromatis, Vassilis N. Ioannidis, Shen Wang 0005, Da Zheng, Soji Adeshina, Jun Ma 0029, Han Zhao 0002, Christos Faloutsos, George Karypis. pkdd 2023: 157-173 [doi]

Efficient Learning of Linear Graph Neural Networks via Node SubsamplingSeiyun Shin, Ilan Shomorony, Han Zhao 0002. nips 2023: [doi]

Fair and Optimal Classification via Post-ProcessingRuicheng Xian, Lang Yin, Han Zhao 0002. icml 2023: 37977-38012 [doi]

Learning List-Level Domain-Invariant Representations for RankingRuicheng Xian, Honglei Zhuang, Zhen Qin 0001, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui 0001, Han Zhao 0002, Xuanhui Wang, Michael Bendersky. nips 2023: [doi]

Learning Structured Representations by Embedding Class HierarchySiqi Zeng, Remi Tachet des Combes, Han Zhao 0002. iclr 2023: [doi]

2022

Inherent Tradeoffs in Learning Fair RepresentationsHan Zhao 0002, Geoffrey J. Gordon. jmlr, 23, 2022. [doi]

Fundamental Limits and Tradeoffs in Invariant Representation LearningHan Zhao 0002, Chen Dan 0001, Bryon Aragam, Tommi S. Jaakkola, Geoffrey J. Gordon, Pradeep Ravikumar. jmlr, 23, 2022. [doi]

Algorithms and Theory for Supervised Gradual Domain AdaptationJing Dong 0008, Shiji Zhou, Baoxiang Wang 0001, Han Zhao 0002. tmlr, 2022, 2022. [doi]

Greedy modality selection via approximate submodular maximizationRunxiang Cheng, Gargi Balasubramaniam, Yifei He, Yao-Hung Hubert Tsai, Han Zhao 0002. uai 2022: 389-399 [doi]

Conditional Supervised Contrastive Learning for Fair Text ClassificationJianfeng Chi, William Shand, Yaodong Yu, Kai-Wei Chang, Han Zhao 0002, Yuan Tian 0001. emnlp 2022: 2736-2756 [doi]

Towards Return Parity in Markov Decision ProcessesJianfeng Chi, Jian Shen, Xinyi Dai, Weinan Zhang 0001, Yuan Tian 0001, Han Zhao 0002. aistats 2022: 1161-1178 [doi]

Invariant Information Bottleneck for Domain GeneralizationBo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao 0002. AAAI 2022: 7399-7407 [doi]

Conditional Contrastive Learning with KernelYao-Hung Hubert Tsai, Tianqin Li, Martin Q. Ma, Han Zhao 0002, Kun Zhang 0001, Louis-Philippe Morency, Ruslan Salakhutdinov. iclr 2022: [doi]

Provable Domain Generalization via Invariant-Feature Subspace RecoveryHaoxiang Wang, Haozhe Si, Bo Li 0026, Han Zhao 0002. icml 2022: 23018-23033 [doi]

Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and BeyondHaoxiang Wang, Bo Li, Han Zhao 0002. icml 2022: 22784-22801 [doi]

Cross-Lingual Transfer with Class-Weighted Language-Invariant RepresentationsRuicheng Xian, Heng Ji, Han Zhao 0002. iclr 2022: [doi]

A Review of Single-Source Deep Unsupervised Visual Domain AdaptationSicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li 0080, Han Zhao 0002, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer. tnn, 33(2):473-493, 2022. [doi]

Online Continual Adaptation with Active Self-TrainingShiji Zhou, Han Zhao 0002, Shanghang Zhang, Lianzhe Wang, Heng Chang, Zhi Wang, Wenwu Zhu 0001. aistats 2022: 8852-8883 [doi]

2021

Towards a Unified Framework for Learning and ReasoningHan Zhao 0002. PhD thesis, Carnegie Mellon University, USA, 2021. [doi]

Learning Invariant Representations and Risks for Semi-Supervised Domain AdaptationBo Li 0080, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao 0002. cvpr 2021: 1104-1113 [doi]

Understanding and Mitigating Accuracy Disparity in RegressionJianfeng Chi, Yuan Tian 0001, Geoffrey J. Gordon, Han Zhao 0002. icml 2021: 1866-1876 [doi]

On Dyadic Fairness: Exploring and Mitigating Bias in Graph ConnectionsPeizhao Li, Yifei Wang, Han Zhao 0002, Pengyu Hong, Hongfu Liu. iclr 2021: [doi]

Information Obfuscation of Graph Neural NetworksPeiyuan Liao, Han Zhao 0002, Keyulu Xu, Tommi S. Jaakkola, Geoffrey J. Gordon, Stefanie Jegelka, Ruslan Salakhutdinov. icml 2021: 6600-6610 [doi]

Self-supervised Representation Learning with Relative Predictive CodingYao-Hung Hubert Tsai, Martin Q. Ma, Muqiao Yang, Han Zhao 0002, Louis-Philippe Morency, Ruslan Salakhutdinov. iclr 2021: [doi]

Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective AdaptationHaoxiang Wang, Han Zhao 0002, Bo Li. icml 2021: 10991-11002 [doi]

Quantifying and Improving Transferability in Domain GeneralizationGuojun Zhang, Han Zhao 0002, Yaoliang Yu, Pascal Poupart. nips 2021: 10957-10970 [doi]

2020

Conditional Learning of Fair RepresentationsHan Zhao 0002, Amanda Coston, Tameem Adel, Geoffrey J. Gordon. iclr 2020: [doi]

Trade-offs and Guarantees of Adversarial Representation Learning for Information ObfuscationHan Zhao 0002, Jianfeng Chi, Yuan Tian 0001, Geoffrey J. Gordon. nips 2020: [doi]

On Learning Language-Invariant Representations for Universal Machine TranslationHan Zhao 0002, Junjie Hu, Andrej Risteski. icml 2020: 11352-11364 [doi]

Model-based Policy Optimization with Unsupervised Model AdaptationJian Shen 0003, Han Zhao 0002, Weinan Zhang 0001, Yong Yu 0001. nips 2020: [doi]

Continual Learning with Adaptive Weights (CLAW)Tameem Adel, Han Zhao 0002, Richard E. Turner. iclr 2020: [doi]

Domain Adaptation with Conditional Distribution Matching and Generalized Label ShiftRemi Tachet des Combes, Han Zhao 0002, Yu-Xiang Wang, Geoffrey J. Gordon. nips 2020: [doi]

Neural Methods for Point-wise Dependency EstimationYao-Hung Hubert Tsai, Han Zhao 0002, Makoto Yamada, Louis-Philippe Morency, Russ R. Salakhutdinov. nips 2020: [doi]

2019

Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite RelationsChen Liang 0001, Jianbo Ye, Han Zhao 0002, Bart Pursel, C. Lee Giles. edm 2019: [doi]

Learning Neural Networks with Adaptive RegularizationHan Zhao 0002, Yao-Hung Hubert Tsai, Russlan Salakhutdinov, Geoffrey J. Gordon. nips 2019: 11389-11400 [doi]

Deep Generative and Discriminative Domain AdaptationHan Zhao 0002, Junjie Hu, Zhenyao Zhu, Adam Coates, Geoffrey J. Gordon. atal 2019: 2315-2317 [doi]

On Learning Invariant Representations for Domain AdaptationHan Zhao 0002, Remi Tachet des Combes, Kun Zhang, Geoffrey J. Gordon. icml 2019: 7523-7532 [doi]

Efficient Multitask Feature and Relationship LearningHan Zhao 0002, Otilia Stretcu, Alexander J. Smola, Geoffrey J. Gordon. uai 2018: 275 [doi]

On Strategyproof Conference Peer ReviewYichong Xu, Han Zhao 0002, Xiaofei Shi, Nihar B. Shah. IJCAI 2019: 616-622 [doi]

2018

Multiple Source Domain Adaptation with Adversarial LearningHan Zhao 0002, Shanghang Zhang, Guanhang Wu, João P. Costeira, José M. F. Moura, Geoffrey J. Gordon. iclr 2018: [doi]

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