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2020 – today
- 2025
[j8]Shixu Lin
, Lucas Garay, Yining Hua, Zhijiang Guo, Wanxin Li, Minghui Li, Yu-Jie Zhang, Xiaolin Xu, Jie Yang:
Analysis of longitudinal social media for monitoring symptoms during a pandemic. J. Biomed. Informatics 162: 104778 (2025)- 2024
- [j7]Peng Zhao, Jia-Wei Shan, Yu-Jie Zhang, Zhi-Hua Zhou:
Exploratory machine learning with unknown unknowns. Artif. Intell. 327: 104059 (2024) - [j6]Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou:
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization. J. Mach. Learn. Res. 25: 98:1-98:52 (2024) - [j5]Sijia Chen, Yu-Jie Zhang, Wei-Wei Tu, Peng Zhao, Lijun Zhang:
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization. J. Mach. Learn. Res. 25: 178:1-178:62 (2024) - [c14]Yuyang Qian, Peng Zhao, Yu-Jie Zhang, Masashi Sugiyama, Zhi-Hua Zhou:
Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation. ICML 2024 - [c13]Wei Wang, Takashi Ishida, Yu-Jie Zhang, Gang Niu, Masashi Sugiyama:
Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical. ICML 2024 - [c12]Long-Fei Li, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou:
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation. NeurIPS 2024 - [i8]Long-Fei Li, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou:
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation. CoRR abs/2405.17061 (2024) - 2023
- [c11]Hai-Yan Song, Chang-Yi Yang, Yu-Jie Zhang, Jia-Xin Tang, Jia-Qi Gao:
A Joint DOA and Range Estimation Technique for Underwater Transportation System based on Compressive Sensing. ICCE-Taiwan 2023: 401-402 - [c10]Xin-Qiang Cai, Yu-Jie Zhang, Chao-Kai Chiang, Masashi Sugiyama:
Imitation Learning from Vague Feedback. NeurIPS 2023 - [c9]Yu-Jie Zhang, Masashi Sugiyama:
Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation Cost. NeurIPS 2023 - [c8]Yu-Jie Zhang, Zhen-Yu Zhang, Peng Zhao, Masashi Sugiyama:
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation. NeurIPS 2023 - [i7]Yu-Jie Zhang, Zhen-Yu Zhang, Peng Zhao, Masashi Sugiyama:
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation. CoRR abs/2302.02552 (2023) - [i6]Wei Wang, Takashi Ishida, Yu-Jie Zhang, Gang Niu, Masashi Sugiyama:
Learning with Complementary Labels Revisited: A Consistent Approach via Negative-Unlabeled Learning. CoRR abs/2311.15502 (2023) - 2022
- [c7]Zhen-Yu Zhang, Yuyang Qian, Yu-Jie Zhang, Yuan Jiang, Zhi-Hua Zhou:
Adaptive Learning for Weakly Labeled Streams. KDD 2022: 2556-2564 - [c6]Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou:
Adapting to Online Label Shift with Provable Guarantees. NeurIPS 2022 - [i5]Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou:
Adapting to Online Label Shift with Provable Guarantees. CoRR abs/2207.02121 (2022) - 2021
- [j4]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:
Modeling circRNA expression pattern with integrated sequence and epigenetic features demonstrates the potential involvement of H3K79me2 in circRNA expression. Bioinform. 37(19): 3386 (2021) - [c5]Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou:
Towards Enabling Learnware to Handle Unseen Jobs. AAAI 2021: 10964-10972 - [c4]Peng Zhao, Yu-Jie Zhang, Zhi-Hua Zhou:
Exploratory Machine Learning with Unknown Unknowns. AAAI 2021: 10999-11006 - [i4]Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou:
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization. CoRR abs/2112.14368 (2021) - 2020
- [j3]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:
Modeling circRNA expression pattern with integrated sequence and epigenetic features demonstrates the potential involvement of H3K79me2 in circRNA expression. Bioinform. 36(18): 4739-4748 (2020) - [c3]Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou:
Dynamic Regret of Convex and Smooth Functions. NeurIPS 2020 - [c2]Yu-Jie Zhang, Peng Zhao, Lanjihong Ma, Zhi-Hua Zhou:
An Unbiased Risk Estimator for Learning with Augmented Classes. NeurIPS 2020 - [c1]Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou:
A Simple Online Algorithm for Competing with Dynamic Comparators. UAI 2020: 390-399 - [i3]Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou:
Exploratory Machine Learning with Unknown Unknowns. CoRR abs/2002.01605 (2020) - [i2]Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou:
Dynamic Regret of Convex and Smooth Functions. CoRR abs/2007.03479 (2020)
2010 – 2019
- 2019
- [j2]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:
Integrating regulatory features data for prediction of functional disease-associated SNPs. Briefings Bioinform. 20(1): 26-32 (2019) - [j1]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:
m6A Regulates Neurogenesis and Neuronal Development by Modulating Histone Methyltransferase Ezh2. Genom. Proteom. Bioinform. 17(2): 154-168 (2019) - [i1]Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou:
An Unbiased Risk Estimator for Learning with Augmented Classes. CoRR abs/1910.09388 (2019)
Coauthor Index
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