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Yibo Wang 0005
Person information
- unicode name: 王一博
- affiliation: Nanjing University, National Key Laboratory for Novel Software Technology, Nanjing, China
- affiliation: Alibaba Group, Hangzhou, China
Other persons with the same name
- Yibo Wang (aka: Yi-Bo Wang) — disambiguation page
- Yibo Wang 0001 — University of Illinois Chicago (UIC), Department of Computer Science, Chicago, IL, USA
- Yibo Wang 0002 — Chinese Academy of Sciences, Institute of Geology and Geophysics, Beijing, China (and 1 more)
- Yibo Wang 0003 — Pohang University of Science and Technology (POSTECH), Gyeongbuk, Republic of Korea (and 1 more)
- Yibo Wang 0004 — Nanjing University, School of Electronic Sciene and Engineering, Nanjing, China
- Yibo Wang 0006 — Syracuse University, FullStack Security Lab, Syracuse, NY, USA
- Yibo Wang 0007 — Renmin University of China, School of Information, Beijing, China
- Yibo Wang 0008 — Northeastern University, Shenyang, China
- Yibo Wang 0009 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Yibo Wang 0010 — Southeast University, School of Mathematics, Nanjing, China
- Yibo Wang 0011 — Chinese Academy of Sciences, Changchun Institute of Applied Chemistry, Laboratory of Chemical Biology, Changchun, China
- Yibo Wang 0012 — Dalian University of Technology, School of Software, Dalian, China
- Yibo Wang 0013 — University of Virginia, Department of Chemistry, Charlottesville, VA, USA
- Yibo Wang 0014 — Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China (and 1 more)
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2020 – today
- 2024
- [c9]Yibo Wang, Wenhao Yang, Wei Jiang, Shiyin Lu, Bing Wang, Haihong Tang, Yuanyu Wan, Lijun Zhang:
Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees. AAAI 2024: 15671-15679 - [c8]Wei Jiang, Sifan Yang, Wenhao Yang, Yibo Wang, Yuanyu Wan, Lijun Zhang:
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization. ICML 2024 - [c7]Langqi Liu, Yibo Wang, Lijun Zhang:
High-Probability Bound for Non-Smooth Non-Convex Stochastic Optimization with Heavy Tails. ICML 2024 - [c6]Wenhao Yang, Wei Jiang, Yibo Wang, Ping Yang, Yao Hu, Lijun Zhang:
Small-loss Adaptive Regret for Online Convex Optimization. ICML 2024 - [c5]Chenxu Zhang, Yibo Wang, Peng Tian, Xiao Cheng, Yuanyu Wan, Mingli Song:
Projection-Free Bandit Convex Optimization over Strongly Convex Sets. PAKDD (3) 2024: 118-129 - [c4]Wenhao Yang, Yingchun Jian, Yibo Wang, Shiyin Lu, Lei Shen, Bing Wang, Haihong Tang, Lijun Zhang:
Not All Embeddings are Created Equal: Towards Robust Cross-domain Recommendation via Contrastive Learning. WWW 2024: 3195-3206 - [i7]Wenhao Yang, Yibo Wang, Peng Zhao, Lijun Zhang:
Universal Online Convex Optimization with 1 Projection per Round. CoRR abs/2405.19705 (2024) - [i6]Wei Jiang, Sifan Yang, Yibo Wang, Lijun Zhang:
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions. CoRR abs/2406.01959 (2024) - [i5]Wei Jiang, Sifan Yang, Wenhao Yang, Yibo Wang, Yuanyu Wan, Lijun Zhang:
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization. CoRR abs/2406.03787 (2024) - [i4]Sijia Chen, Yibo Wang, Yi-Feng Wu, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Lijun Zhang:
Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees. CoRR abs/2406.07115 (2024) - 2023
- [c3]Yibo Wang, Yuanyu Wan, Shimao Zhang, Lijun Zhang:
Distributed Projection-Free Online Learning for Smooth and Convex Losses. AAAI 2023: 10226-10234 - [i3]Yibo Wang, Wenhao Yang, Wei Jiang, Shiyin Lu, Bing Wang, Haihong Tang, Yuanyu Wan, Lijun Zhang:
Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees. CoRR abs/2305.11726 (2023) - 2022
- [c2]Wei Jiang, Bokun Wang, Yibo Wang, Lijun Zhang, Tianbao Yang:
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization. ICML 2022: 10195-10216 - [c1]Wei Jiang, Gang Li, Yibo Wang, Lijun Zhang, Tianbao Yang:
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization. NeurIPS 2022 - [i2]Wei Jiang, Bokun Wang, Yibo Wang, Lijun Zhang, Tianbao Yang:
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization. CoRR abs/2202.07530 (2022) - [i1]Wei Jiang, Gang Li, Yibo Wang, Lijun Zhang, Tianbao Yang:
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization. CoRR abs/2207.08540 (2022)
Coauthor Index
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