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)

An Unbiased Risk Estimator for Learning with Augmented Classes. - Yu-Jie Zhang; Peng Zhao 006; Zhi-Hua Zhou (CoRR, 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)

Dynamic Regret of Convex and Smooth Functions. - Peng Zhao 006; Yu-Jie Zhang; Lijun Zhang 005; Zhi-Hua Zhou (NeurIPS, 2020)

An Unbiased Risk Estimator for Learning with Augmented Classes. - Yu-Jie Zhang; Peng Zhao 006; Lanjihong Ma; Zhi-Hua Zhou (NeurIPS, 2020)

A Simple Online Algorithm for Competing with Dynamic Comparators. - Yu-Jie Zhang; Peng Zhao 006; Zhi-Hua Zhou (UAI, 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; et al. (Bioinform., 2020)

Exploratory Machine Learning with Unknown Unknowns. - Peng Zhao 006; Yu-Jie Zhang; Zhi-Hua Zhou (AAAI, 2021)

Towards Enabling Learnware to Handle Unseen Jobs. - Yu-Jie Zhang; Yu-Hu Yan; Peng Zhao 006; Zhi-Hua Zhou (AAAI, 2021)

Adaptive Learning for Weakly Labeled Streams. - Zhen-Yu Zhang; Yu-Yang Qian 001; Yu-Jie Zhang; Yuan Jiang 001; Zhi-Hua Zhou (KDD, 2022)

Adapting to Online Label Shift with Provable Guarantees. - Yong Bai; Yu-Jie Zhang; Peng Zhao 006; Masashi Sugiyama; Zhi-Hua Zhou (NeurIPS, 2022)

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 (ICCE-Taiwan, 2023)

Imitation Learning from Vague Feedback. - Xin-Qiang Cai; Yu-Jie Zhang; Chao-Kai Chiang; Masashi Sugiyama (NeurIPS, 2023)

Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation Cost. - Yu-Jie Zhang; Masashi Sugiyama (NeurIPS, 2023)

Adapting to Continuous Covariate Shift via Online Density Ratio Estimation. - Yu-Jie Zhang; Zhen-Yu Zhang; Peng Zhao; Masashi Sugiyama (NeurIPS, 2023)

Adapting to Continuous Covariate Shift via Online Density Ratio Estimation. - Yu-Jie Zhang; Zhen-Yu Zhang; Peng Zhao 006; Masashi Sugiyama (CoRR, 2023)

Learning with Complementary Labels Revisited: A Consistent Approach via Negative-Unlabeled Learning. - Wei Wang 373; Takashi Ishida 001; Yu-Jie Zhang; Gang Niu 001; Masashi Sugiyama (CoRR, 2023)

Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation. - Yu-Yang Qian 001; Peng Zhao 006; Yu-Jie Zhang; Masashi Sugiyama; Zhi-Hua Zhou (ICML, 2024)

Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical. - Wei Wang 373; Takashi Ishida 001; Yu-Jie Zhang; Gang Niu 001; Masashi Sugiyama (ICML, 2024)

Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation. - Long-Fei Li; Yu-Jie Zhang; Peng Zhao 006; Zhi-Hua Zhou (NeurIPS, 2024)

Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization. - Peng Zhao 006; Yu-Jie Zhang; Lijun Zhang 005; Zhi-Hua Zhou (J. Mach. Learn. Res., 2024)

Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization. - Sijia Chen; Yu-Jie Zhang; Wei-Wei Tu; Peng Zhao 006; Lijun Zhang 005 (J. Mach. Learn. Res., 2024)

Exploratory machine learning with unknown unknowns. - Peng Zhao 006; Jia-Wei Shan; Yu-Jie Zhang; Zhi-Hua Zhou (Artif. Intell., 2024)

Analysis of longitudinal social media for monitoring symptoms during a pandemic. - Shixu Lin; Lucas Garay; Yining Hua; Zhijiang Guo; Wanxin Li; Minghui Li; Yu-Jie Zhang; Xiaolin Xu; Jie Yang 039 (J. Biomed. Informatics, 2025)

An Illumination-Adaptive Visual SLAM Algorithm With Lightweight Object Detection for Complex Dynamic Environments. - Li Li 086; Ze-Kun Zuo; Ru-Feng Bu; Yu-Jie Zhang; Run-Min Wang; Erlong Tan (IEEE Trans. Instrum. Meas., 2025)

Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update. - Jing Wang; Yu-Jie Zhang; Peng Zhao 006; Zhi-Hua Zhou (CoRR, 2025)

On Symmetric Losses for Robust Policy Optimization with Noisy Preferences. - Soichiro Nishimori; Yu-Jie Zhang; Thanawat Lodkaew; Masashi Sugiyama (CoRR, 2025)

Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability. - Yu-Jie Zhang; Peng Zhao; Masashi Sugiyama (CoRR, 2025)

Recursive Reward Aggregation. - Yuting Tang; Yivan Zhang; Johannes Ackermann; Yu-Jie Zhang; Soichiro Nishimori; Masashi Sugiyama (CoRR, 2025)

Generalized Linear Bandits: Almost Optimal Regret with One-Pass Update. - Yu-Jie Zhang; Sheng-An Xu; Peng Zhao; Masashi Sugiyama (CoRR, 2025)