Shiyin Lu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Top Venues

Publications

Shiyin Lu, Yang Li, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Han-Jia Ye
Ovis: Structural Embedding Alignment for Multimodal Large Language Model. CoRR (2024)
Yi-Kai Zhang, Shiyin Lu, Yang Li, Yanqing Ma, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye
Wings: Learning Multimodal LLMs without Text-only Forgetting. CoRR (2024)
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)
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
Parrot: Multilingual Visual Instruction Tuning. CoRR (2024)
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)
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 (2023)
Shiyin Lu, Yu-Hang Zhou, Jing-Cheng Shi, Wenya Zhu, Qingtao Yu, Qing-Guo Chen, Qing Da, Lijun Zhang
Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization. WSDM (2022)
Shiyin Lu, Yuan Miao, Ping Yang, Yao Hu, Lijun Zhang
Non-stationary Dueling Bandits for Online Learning to Rank. APWeb/WAIM (2) (2022)
Lijun Zhang, Wei Jiang, Shiyin Lu, Tianbao Yang
Revisiting Smoothed Online Learning. NeurIPS (2021)
Shiyin Lu, Guanghui Wang, Lijun Zhang
Stochastic Graphical Bandits with Adversarial Corruptions. AAAI (2021)
Lijun Zhang, Wei Jiang, Shiyin Lu, Tianbao Yang
Revisiting Smoothed Online Learning. CoRR (2021)
Shiyin Lu, Yao Hu, Lijun Zhang
Stochastic Bandits with Graph Feedback in Non-Stationary Environments. AAAI (2021)
Lijun Zhang, Shiyin Lu, Tianbao Yang
Minimizing Dynamic Regret and Adaptive Regret Simultaneously. AISTATS (2020)
Yimu Wang, Shiyin Lu, Lijun Zhang
Searching Privately by Imperceptible Lying: A Novel Private Hashing Method with Differential Privacy. ACM Multimedia (2020)
Guanghui Wang, Shiyin Lu, Quan Cheng, Weiwei Tu, Lijun Zhang
SAdam: A Variant of Adam for Strongly Convex Functions. ICLR (2020)
Guanghui Wang, Shiyin Lu, Yao Hu, Lijun Zhang
Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization. AAAI (2020)
Lijun Zhang, Shiyin Lu, Tianbao Yang
Minimizing Dynamic Regret and Adaptive Regret Simultaneously. CoRR (2020)
Guanghui Wang, Shiyin Lu, Lijun Zhang
Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization. UAI (2019)
Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang
Multi-Objective Generalized Linear Bandits. CoRR (2019)
Guanghui Wang, Shiyin Lu, Weiwei Tu, Lijun Zhang
SAdam: A Variant of Adam for Strongly Convex Functions. CoRR (2019)
Shiyin Lu, Lijun Zhang
More Adaptive Algorithms for Tracking the Best Expert. CoRR (2019)
Guanghui Wang, Shiyin Lu, Lijun Zhang
Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization. CoRR (2019)
Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang
Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards. ICML (2019)
Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang
Multi-Objective Generalized Linear Bandits. IJCAI (2019)
Lijun Zhang, Shiyin Lu, Zhi-Hua Zhou
Adaptive Online Learning in Dynamic Environments. CoRR (2018)
Lijun Zhang, Shiyin Lu, Zhi-Hua Zhou
Adaptive Online Learning in Dynamic Environments. NeurIPS (2018)