Lu, Shiyin

18 publications

NeurIPS 2025 Let the LLM Stick to Its Strengths: Learning to Route Economical LLM Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen, Weihua Luo, De-Chuan Zhan, Han-Jia Ye

ICCV 2025 MDP3: A Training-Free Approach for List-Wise Frame Selection in Video-LLMs Hui Sun, Shiyin Lu, Huanyu Wang, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Ming Li

NeurIPS 2025 Multimodal Tabular Reasoning with Privileged Structured Information Jun-Peng Jiang, Yu Xia, Hai-Long Sun, Shiyin Lu, Qing-Guo Chen, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye

ICML 2025 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

AAAI 2025 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

ICLR 2025 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

AAAI 2024 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

NeurIPS 2024 Wings: Learning Multimodal LLMs Without Text-Only Forgetting Yi-Kai Zhang, Shiyin Lu, Yang Li, Yanqing Ma, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye

NeurIPS 2021 Revisiting Smoothed Online Learning Lijun Zhang, Wei Jiang, Shiyin Lu, Tianbao Yang

AAAI 2021 Stochastic Bandits with Graph Feedback in Non-Stationary Environments Shiyin Lu, Yao Hu, Lijun Zhang

AAAI 2021 Stochastic Graphical Bandits with Adversarial Corruptions Shiyin Lu, Guanghui Wang, Lijun Zhang

AAAI 2020 Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization Guanghui Wang, Shiyin Lu, Yao Hu, Lijun Zhang

AISTATS 2020 Minimizing Dynamic Regret and Adaptive Regret Simultaneously Lijun Zhang, Shiyin Lu, Tianbao Yang

ICLR 2020 SAdam: A Variant of Adam for Strongly Convex Functions Guanghui Wang, Shiyin Lu, Weiwei Tu, Lijun Zhang

UAI 2019 Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization Guanghui Wang, Shiyin Lu, Lijun Zhang

IJCAI 2019 Multi-Objective Generalized Linear Bandits Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang

ICML 2019 Optimal Algorithms for Lipschitz Bandits with Heavy-Tailed Rewards Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang

NeurIPS 2018 Adaptive Online Learning in Dynamic Environments Lijun Zhang, Shiyin Lu, Zhi-Hua Zhou