GPS/INS Integrated Navigation Based on UKF and Simulated Annealing Optimized SVM. - Zhuqing Jiang; Chonghua Liu; Gong Zhang; Yupeng Wang 002; Chengkai Huang; Jiayi Liang (VTC Fall, 2013)

Indoor positioning system based on improved PDR and magnetic calibration using smartphone. - Chengkai Huang; Shanbao He; Zhuqing Jiang; Chao Li; Yupeng Wang 002; Xueyang Wang (PIMRC, 2014)

A Novel Routing Algorithm Design of Time Evolving Graph Based on Pairing Heap for MEO Satellite Network. - Yupeng Wang 002; Gong Zhang; Zhuqing Jiang; Chengkai Huang; Xueyang Wang; Aidong Men; Bo Yang 007; Kaifeng Qi (VTC Fall, 2014)

Smartphone-based indoor position and orientation tracking fusing inertial and magnetic sensing. - Chengkai Huang; Gong Zhang; Zhuqing Jiang; Chao Li; Yupeng Wang 002; Xueyang Wang (WPMC, 2014)

Weak GNSS signal acquisition based on wavelet de-noising through lifting scheme and heuristic threshold optimization. - Yupeng Wang 002; Shanbao He; Zhuqing Jiang; Chengkai Huang; Xueyang Wang (WPMC, 2014)

Application of ant colony optimized routing algorithm based on evolving graph model in VANETs. - Xueyang Wang; Chonghua Liu; Yupeng Wang 002; Chengkai Huang (WPMC, 2014)

A smartphone-based indoor positioning system using fuzzy theory and WLAN mapping algorithm. - Chao Li; Zhuqing Jiang; Chengkai Huang; Xinmeng Liu; Yuying Yang (PIMRC, 2015)

Fault Estimation and Accommodation of Interconnected Systems: A Separation Principle. - Hao Yang 001; Chengkai Huang; Bin Jiang 001; Marios M. Polycarpou (IEEE Trans. Cybern., 2019)

Explore instance similarity: An instance correlation based hashing method for multi-label cross-model retrieval. - Chengkai Huang; Xuan Luo; Jiajia Zhang 001; Qing Liao 001; Xuan Wang 002; Zoe Lin Jiang; Shuhan Qi (Inf. Process. Manag., 2020)

FloorSense: a novel crowdsourcing map construction algorithm based on conditional random field. - Zhuqing Jiang; Jiahao Zhang; Chonghua Liu; Chengkai Huang (Pers. Ubiquitous Comput., 2020)

Semi-Online Knowledge Distillation. - Zhiqiang Liu; Yanxia Liu; Chengkai Huang (BMVC, 2021)

Improved Knowledge Distillation via Adversarial Collaboration. - Zhiqiang Liu; Chengkai Huang; Yanxia Liu (CoRR, 2021)

Autoencoder-based self-supervised hashing for cross-modal retrieval. - Yifan Li; Xuan Wang 002; Lei Cui; Jiajia Zhang 001; Chengkai Huang; Xuan Luo; Shuhan Qi (Multim. Tools Appl., 2021)

Self-supervised learning-based weight adaptive hashing for fast cross-modal retrieval. - Yifan Li; Xuan Wang 002; Shuhan Qi; Chengkai Huang; Zoe Lin Jiang; Qing Liao 001; Jian Guan 001; Jiajia Zhang 001 (Signal Image Video Process., 2021)

Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences. - Guanglin Zhou; Chengkai Huang; Xiaocong Chen; Lina Yao 001; Xiwei Xu 001; Chen Wang 008; Liming Zhu 001 (CoRR, 2022)

Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems. - Guanglin Zhou; Chengkai Huang; Xiaocong Chen; Xiwei Xu 001; Chen Wang 008; Liming Zhu 001; Lina Yao 001 (CIKM, 2023)

Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. - Chengkai Huang; Shoujin Wang; Xianzhi Wang 001; Lina Yao 001 (SIGIR, 2023)

Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. - Chengkai Huang; Shoujin Wang; Xianzhi Wang 001; Lina Yao 001 (WWW, 2023)

Understanding Brand's Association: Fine-Grained Multi-Modal Content Discovery for Brands. - Shuhan Qi; Chengkai Huang; Yifan Li (BESC, 2024)

Foundation Models for Recommender Systems: A Survey and New Perspectives. - Chengkai Huang; Tong Yu 001; Kaige Xie; Shuai Zhang 007; Lina Yao 001; Julian J. McAuley (CoRR, 2024)

Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach. - Chengkai Huang; Rui Wang 088; Kaige Xie; Tong Yu 001; Lina Yao 001 (CoRR, 2024)

Federated Large Language Models: Current Progress and Future Directions. - Yuhang Yao; Jianyi Zhang; Junda Wu; Chengkai Huang; Yu Xia 007; Tong Yu 001; Ruiyi Zhang 002; Sungchul Kim; Ryan A. Rossi; Ang Li 005; Lina Yao 001; Julian J. McAuley; et al. (CoRR, 2024)

Dual Conditional Diffusion Models for Sequential Recommendation. - Hongtao Huang; Chengkai Huang; Xiaojun Chang; Wen Hu 001; Lina Yao 001 (CoRR, 2024)

Boosting fine-tuning via Conditional Online Knowledge Transfer. - Zhiqiang Liu; Yuhong Li; Chengkai Huang; KunTing Luo; Yanxia Liu (Neural Networks, 2024)

Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models. - Chengkai Huang; Yu Xia 007; Rui Wang 088; Kaige Xie; Tong Yu 001; Julian J. McAuley; Lina Yao 001 (COLING, 2025)

Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models. - Chengkai Huang; Junda Wu; Yu Xia 007; Zixu Yu; Ruhan Wang; Tong Yu 001; Ruiyi Zhang 002; Ryan A. Rossi; Branislav Kveton; Dongruo Zhou; Julian J. McAuley; Lina Yao 001 (CoRR, 2025)

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms. - Chengkai Huang; Hongtao Huang; Tong Yu 001; Kaige Xie; Junda Wu; Shuai Zhang 007; Julian J. McAuley; Dietmar Jannach; Lina Yao 001 (CoRR, 2025)

Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems. - Le Pan; Yuanjiang Cao; Chengkai Huang; Wenjie Zhang; Lina Yao (CoRR, 2025)

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality. - Ruhan Wang; Zhiyong Wang; Chengkai Huang; Rui Wang; Tong Yu 001; Lina Yao 001; John C. S. Lui; Dongruo Zhou (CoRR, 2025)