Shiyin Lu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
11
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | LPO: Towards Accurate GUI Agent Interaction via Location Preference Optimization. | Jiaqi Tang, Yu Xia, Yi-Feng Wu, Yuwei Hu, Yuhui Chen, Qing-Guo Chen, Xiaogang Xu, Xiangyu Wu, Hao Lu, Yanqing Ma, Shiyin Lu, Qifeng Chen |
| 2025 | AAAI | Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation. | Yibo Wang, Yingchun Jian, Wenhao Yang, Shiyin Lu, Lei Shen, Bing Wang, Xiaoyi Zeng, Lijun Zhang |
| 2025 | ICCV | Mdp | Hui Sun, Shiyin Lu, Huanyu Wang, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Ming Li |
| 2025 | ICLR | ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs. | Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen, De-Chuan Zhan, Han-Jia Ye |
| 2025 | ICML | Parrot: Multilingual Visual Instruction Tuning. | Hai-Long Sun, Da-Wei Zhou, Yang Li, Shiyin Lu, Chao Yi, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye |
| 2024 | AAAI | Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees. | Yibo Wang, Wenhao Yang, Wei Jiang, Shiyin Lu, Bing Wang, Haihong Tang, Yuanyu Wan, Lijun Zhang |
| 2024 | WWW | Not All Embeddings are Created Equal: Towards Robust Cross-domain Recommendation via Contrastive Learning. | Wenhao Yang, Yingchun Jian, Yibo Wang, Shiyin Lu, Lei Shen, Bing Wang, Haihong Tang, Lijun Zhang |
| 2022 | APWEB | Non-stationary Dueling Bandits for Online Learning to Rank. | Shiyin Lu, Yuan Miao, Ping Yang, Yao Hu, Lijun Zhang |
| 2022 | WSDM | Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization. | Shiyin Lu, Yu-Hang Zhou, Jing-Cheng Shi, Wenya Zhu, Qingtao Yu, Qing-Guo Chen, Qing Da, Lijun Zhang |
| 2021 | AAAI | Stochastic Bandits with Graph Feedback in Non-Stationary Environments. | Shiyin Lu, Yao Hu, Lijun Zhang |
| 2021 | AAAI | Stochastic Graphical Bandits with Adversarial Corruptions. | Shiyin Lu, Guanghui Wang, Lijun Zhang |
| 2020 | AAAI | Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization. | Guanghui Wang, Shiyin Lu, Yao Hu, Lijun Zhang |
| 2020 | AISTATS | Minimizing Dynamic Regret and Adaptive Regret Simultaneously. | Lijun Zhang, Shiyin Lu, Tianbao Yang |
| 2020 | ICLR | SAdam: A Variant of Adam for Strongly Convex Functions. | Guanghui Wang, Shiyin Lu, Quan Cheng, Weiwei Tu, Lijun Zhang |
| 2019 | ICML | Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards. | Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang |
| 2019 | IJCAI | Multi-Objective Generalized Linear Bandits. | Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang |
| 2019 | UAI | Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization. | Guanghui Wang, Shiyin Lu, Lijun Zhang |