Yu-Jie Zhang

According to our database, Yu-Jie Zhang authored at least 23 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploratory machine learning with unknown unknowns.

Peng Zhao, Jia-Wei Shan, Yu-Jie Zhang, Zhi-Hua Zhou

Artif. Intell., February, 2024

Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization.

Sijia Chen, Yu-Jie Zhang, Wei-Wei Tu, Peng Zhao, Lijun Zhang

J. Mach. Learn. Res., 2024

Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization.

Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou

J. Mach. Learn. Res., 2024

Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation.

Long-Fei Li, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou

CoRR, 2024

Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical.

Wei Wang, Takashi Ishida, Yu-Jie Zhang, Gang Niu, Masashi Sugiyama

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation.

Yuyang Qian, Peng Zhao, Yu-Jie Zhang, Masashi Sugiyama, Zhi-Hua Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Learning with Complementary Labels Revisited: A Consistent Approach via Negative-Unlabeled Learning.

Wei Wang, Takashi Ishida, Yu-Jie Zhang, Gang Niu, Masashi Sugiyama

CoRR, 2023

Adapting to Continuous Covariate Shift via Online Density Ratio Estimation.

Yu-Jie Zhang, Zhen-Yu Zhang, Peng Zhao, Masashi Sugiyama

CoRR, 2023

Adapting to Continuous Covariate Shift via Online Density Ratio Estimation.

Yu-Jie Zhang, Zhen-Yu Zhang, Peng Zhao, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation Cost.

Yu-Jie Zhang, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Imitation Learning from Vague Feedback.

Xin-Qiang Cai, Yu-Jie Zhang, Chao-Kai Chiang, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Joint DOA and Range Estimation Technique for Underwater Transportation System based on Compressive Sensing.

Hai-Yan Song, Chang-Yi Yang, Yu-Jie Zhang, Jia-Xin Tang, Jia-Qi Gao

Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023

2022

Adapting to Online Label Shift with Provable Guarantees.

Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adaptive Learning for Weakly Labeled Streams.

Zhen-Yu Zhang, Yuyang Qian, Yu-Jie Zhang, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Towards Enabling Learnware to Handle Unseen Jobs.

Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Exploratory Machine Learning with Unknown Unknowns.

Peng Zhao, Yu-Jie Zhang, Zhi-Hua Zhou

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Modeling circRNA expression pattern with integrated sequence and epigenetic features demonstrates the potential involvement of H3K79me2 in circRNA expression.

Jia-Bin Chen, Shan-Shan Dong, Shi Yao, Yuan-Yuan Duan, Wei-Xin Hu, Hao Chen, Nai-Ning Wang, Xiao-Feng Chen, Ruo-Han Hao, Hlaing Nwe Thynn, Ming-Rui Guo, Yu-Jie Zhang, Yu Rong, Yi-Xiao Chen, Fu-Ling Zhou, Yan Guo, Tie-Lin Yang

Bioinform., 2020

A Simple Online Algorithm for Competing with Dynamic Comparators.

Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

An Unbiased Risk Estimator for Learning with Augmented Classes.

Yu-Jie Zhang, Peng Zhao, Lanjihong Ma, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Dynamic Regret of Convex and Smooth Functions.

Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

m⁶A Regulates Neurogenesis and Neuronal Development by Modulating Histone Methyltransferase Ezh2.

Junchen Chen, Yi-Chang Zhang, Chunmin Huang, Hui Shen, Baofa Sun, Xuejun Cheng, Yu-Jie Zhang, Yun-Gui Yang, Qiang Shu, Ying Yang, Xuekun Li

Genom. Proteom. Bioinform., 2019

An Unbiased Risk Estimator for Learning with Augmented Classes.

Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou

CoRR, 2019

Integrating regulatory features data for prediction of functional disease-associated SNPs.

Shan-Shan Dong, Yan Guo, Shi Yao, Yi-Xiao Chen, Mo-Nan He, Yu-Jie Zhang, Xiao-Feng Chen, Jia-Bin Chen, Tie-Lin Yang

Briefings Bioinform., 2019