Adaptive Online Learning in Dynamic Environments. - Lijun Zhang 005; Shiyin Lu; Zhi-Hua Zhou (NeurIPS, 2018)

Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards. - Shiyin Lu; Guanghui Wang 006; Yao Hu; Lijun Zhang 005 (ICML, 2019)

Multi-Objective Generalized Linear Bandits. - Shiyin Lu; Guanghui Wang 006; Yao Hu; Lijun Zhang 005 (IJCAI, 2019)

Adaptivity and Optimality: A Universal Algorithm for Online Convex Optimization. - Guanghui Wang 006; Shiyin Lu; Lijun Zhang 005 (UAI, 2019)

SAdam: A Variant of Adam for Strongly Convex Functions. - Guanghui Wang 006; Shiyin Lu; Weiwei Tu; Lijun Zhang 005 (CoRR, 2019)

More Adaptive Algorithms for Tracking the Best Expert. - Shiyin Lu; Lijun Zhang 005 (CoRR, 2019)

Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization. - Guanghui Wang 006; Shiyin Lu; Yao Hu; Lijun Zhang 005 (AAAI, 2020)

Minimizing Dynamic Regret and Adaptive Regret Simultaneously. - Lijun Zhang 005; Shiyin Lu; Tianbao Yang (AISTATS, 2020)

SAdam: A Variant of Adam for Strongly Convex Functions. - Guanghui Wang 006; Shiyin Lu; Quan Cheng 001; Weiwei Tu; Lijun Zhang 005 (ICLR, 2020)

Searching Privately by Imperceptible Lying: A Novel Private Hashing Method with Differential Privacy. - Yimu Wang; Shiyin Lu; Lijun Zhang 005 (ACM Multimedia, 2020)

Stochastic Bandits with Graph Feedback in Non-Stationary Environments. - Shiyin Lu; Yao Hu; Lijun Zhang 005 (AAAI, 2021)

Stochastic Graphical Bandits with Adversarial Corruptions. - Shiyin Lu; Guanghui Wang 006; Lijun Zhang 005 (AAAI, 2021)

Revisiting Smoothed Online Learning. - Lijun Zhang 005; Wei Jiang 029; Shiyin Lu; Tianbao Yang (NeurIPS, 2021)

Non-stationary Dueling Bandits for Online Learning to Rank. - Shiyin Lu; Yuan Miao; Ping Yang; Yao Hu; Lijun Zhang (APWeb/WAIM (2), 2022)

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 005 (WSDM, 2022)

Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees. - Yibo Wang 005; Wenhao Yang; Wei Jiang 029; Shiyin Lu; Bing Wang 017; Haihong Tang; Yuanyu Wan; Lijun Zhang 005 (AAAI, 2024)

Wings: Learning Multimodal LLMs without Text-only Forgetting. - Yi-Kai Zhang; Shiyin Lu; Yang Li; Yanqing Ma; Qingguo Chen; Zhao Xu; Weihua Luo; Kaifu Zhang; De-Chuan Zhan; Han-Jia Ye (NeurIPS, 2024)

Not All Embeddings are Created Equal: Towards Robust Cross-domain Recommendation via Contrastive Learning. - Wenhao Yang; Yingchun Jian; Yibo Wang 005; Shiyin Lu; Lei Shen; Bing Wang 017; Haihong Tang; Lijun Zhang 005 (WWW, 2024)

Ovis: Structural Embedding Alignment for Multimodal Large Language Model. - Shiyin Lu; Yang Li; Qing-Guo Chen; Zhao Xu; Weihua Luo; Kaifu Zhang; Han-Jia Ye (CoRR, 2024)

Parrot: Multilingual Visual Instruction Tuning. - Hai-Long Sun; Da-Wei Zhou 001; Yang Li; Shiyin Lu; Chao Yi; Qing-Guo Chen; Zhao Xu; Weihua Luo; Kaifu Zhang; De-Chuan Zhan; Han-Jia Ye (CoRR, 2024)

OmniEvalKit: A Modular, Lightweight Toolbox for Evaluating Large Language Model and its Omni-Extensions. - Yi-Kai Zhang; Xu-Xiang Zhong; Shiyin Lu; Qing-Guo Chen; De-Chuan Zhan; Han-Jia Ye (CoRR, 2024)

Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation. - Yibo Wang 005; Yingchun Jian; Wenhao Yang; Shiyin Lu; Lei Shen; Bing Wang 017; Xiaoyi Zeng; Lijun Zhang 005 (AAAI, 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 (ICLR, 2025)

MDP3: A Training-free Approach for List-wise Frame Selection in Video-LLMs. - Hui Sun 003; Shiyin Lu; Huanyu Wang; Qing-Guo Chen; Zhao Xu; Weihua Luo; Kaifu Zhang; Ming Li 005 (CoRR, 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 (CoRR, 2025)

LPO: Towards Accurate GUI Agent Interaction via Location Preference Optimization. - Jiaqi Tang 005; Yu Xia; Yi-Feng Wu; Yuwei Hu; Yuhui Chen; Qing-Guo Chen; Xiaogang Xu 002; Xiangyu Wu; Hao Lu 009; Yanqing Ma; Shiyin Lu; Qifeng Chen (CoRR, 2025)

Ovis-U1 Technical Report. - Guo-Hua Wang; Shanshan Zhao; Xinjie Zhang; Liangfu Cao; Pengxin Zhan; Lunhao Duan; Shiyin Lu; Minghao Fu 004; Xiaohao Chen; Jianshan Zhao; Yang Li; Qing-Guo Chen (CoRR, 2025)

Ovis2.5 Technical Report. - Shiyin Lu; Yang Li; Yu Xia; Yuwei Hu; Shanshan Zhao; Yanqing Ma; Zhichao Wei; Yinglun Li; Lunhao Duan; Jianshan Zhao; Yuxuan Han; Haijun Li; et al. (CoRR, 2025)