Yu-Jie Zhang

39 papers A* 14A 1Journal 23Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dynamic Regret via Discounted-to-Dynamic Reduction with Applications to Curved Losses and Adam Optimizer.
CoRR
Yan-Feng Xie, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
2025 J jnl
An Illumination-Adaptive Visual SLAM Algorithm With Lightweight Object Detection for Complex Dynamic Environments.
IEEE Trans. Instrum. Meas.
Li Li, Ze-Kun Zuo, Ru-Feng Bu, Yu-Jie Zhang, Run-Min Wang, Erlong Tan
2025 J jnl
Analysis of longitudinal social media for monitoring symptoms during a pandemic.
J. Biomed. Informatics
Shixu Lin, Lucas Garay, Yining Hua, Zhijiang Guo, Wanxin Li, Minghui Li, Yu-Jie Zhang, Xiaolin Xu, Jie Yang
2025 J jnl
Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update.
CoRR
Yu-Jie Zhang, Sheng-An Xu, Peng Zhao, Masashi Sugiyama
2025 A* conf
Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update.
ICML
Jing Wang, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
2025 J jnl
Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update.
CoRR
Jing Wang, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
2025 A* conf
Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability.
ICML
Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama
2025 J jnl
Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability.
CoRR
Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama
2025 J jnl
On Symmetric Losses for Robust Policy Optimization with Noisy Preferences.
CoRR
Soichiro Nishimori, Yu-Jie Zhang, Thanawat Lodkaew, Masashi Sugiyama
2025 J jnl
Recursive Reward Aggregation.
CoRR
Yuting Tang, Yivan Zhang, Johannes Ackermann, Yu-Jie Zhang, Soichiro Nishimori, Masashi Sugiyama
2024 J jnl
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization.
J. Mach. Learn. Res.
Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou
2024 A* conf
Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation.
ICML
Yu-Yang Qian, Peng Zhao, Yu-Jie Zhang, Masashi Sugiyama, Zhi-Hua Zhou
2024 J jnl
Exploratory machine learning with unknown unknowns.
Artif. Intell.
Peng Zhao, Jia-Wei Shan, Yu-Jie Zhang, Zhi-Hua Zhou
2024 A* conf
Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical.
ICML
Wei Wang, Takashi Ishida, Yu-Jie Zhang, Gang Niu, Masashi Sugiyama
2024 J jnl
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization.
J. Mach. Learn. Res.
Sijia Chen, Yu-Jie Zhang, Wei-Wei Tu, Peng Zhao, Lijun Zhang
2024 A* conf
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation.
NeurIPS
Long-Fei Li, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
2024 J jnl
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation.
CoRR
Long-Fei Li, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
2023 — conf
A Joint DOA and Range Estimation Technique for Underwater Transportation System based on Compressive Sensing.
ICCE-Taiwan
Hai-Yan Song, Chang-Yi Yang, Yu-Jie Zhang, Jia-Xin Tang, Jia-Qi Gao
2023 A* conf
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation.
NeurIPS
Yu-Jie Zhang, Zhen-Yu Zhang, Peng Zhao, Masashi Sugiyama
2023 J jnl
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation.
CoRR
Yu-Jie Zhang, Zhen-Yu Zhang, Peng Zhao, Masashi Sugiyama
2023 A* conf
Imitation Learning from Vague Feedback.
NeurIPS
Xin-Qiang Cai, Yu-Jie Zhang, Chao-Kai Chiang, Masashi Sugiyama
2023 J jnl
Learning with Complementary Labels Revisited: A Consistent Approach via Negative-Unlabeled Learning.
CoRR
Wei Wang, Takashi Ishida, Yu-Jie Zhang, Gang Niu, Masashi Sugiyama
2023 A* conf
Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation Cost.
NeurIPS
Yu-Jie Zhang, Masashi Sugiyama
2022 A* conf
Adapting to Online Label Shift with Provable Guarantees.
NeurIPS
Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou
2022 J jnl
Adapting to Online Label Shift with Provable Guarantees.
CoRR
Yong Bai, Yu-Jie Zhang, Peng Zhao, Masashi Sugiyama, Zhi-Hua Zhou
2022 A* conf
Adaptive Learning for Weakly Labeled Streams.
KDD
Zhen-Yu Zhang, Yu-Yang Qian, Yu-Jie Zhang, Yuan Jiang, Zhi-Hua Zhou
2021 J jnl
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization.
CoRR
Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou
2021 A* conf
Exploratory Machine Learning with Unknown Unknowns.
AAAI
Peng Zhao, Yu-Jie Zhang, Zhi-Hua Zhou
2021 J jnl
Modeling circRNA expression pattern with integrated sequence and epigenetic features demonstrates the potential involvement of H3K79me2 in circRNA expression.
Bioinform.
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
2021 A* conf
Towards Enabling Learnware to Handle Unseen Jobs.
AAAI
Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
2020 A conf
A Simple Online Algorithm for Competing with Dynamic Comparators.
UAI
Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
2020 A* conf
An Unbiased Risk Estimator for Learning with Augmented Classes.
NeurIPS
Yu-Jie Zhang, Peng Zhao, Lanjihong Ma, Zhi-Hua Zhou
2020 A* conf
Dynamic Regret of Convex and Smooth Functions.
NeurIPS
Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou
2020 J jnl
Dynamic Regret of Convex and Smooth Functions.
CoRR
Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou
2020 J jnl
Exploratory Machine Learning with Unknown Unknowns.
CoRR
Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
2020 J jnl
Modeling circRNA expression pattern with integrated sequence and epigenetic features demonstrates the potential involvement of H3K79me2 in circRNA expression.
Bioinform.
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
2019 J jnl
An Unbiased Risk Estimator for Learning with Augmented Classes.
CoRR
Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
2019 J jnl
Integrating regulatory features data for prediction of functional disease-associated SNPs.
Briefings Bioinform.
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
2019 J jnl
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Genom. Proteom. Bioinform.
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