A Sensitive and Stable Surface Plasmon Resonance Sensor Based on Monolayer Protected Silver Film. - Guiqiang Wang; Chunnan Wang; Rui Yang; Wenlan Liu; Shuqing Sun (Sensors, 2017)

ECOQUG: An Effective Ensemble Community Scoring Function. - Chunnan Wang; Hongzhi Wang 001; Chang Zhou; Jianzhong Li 001; Hong Gao 001 (ICDE, 2019)

ExperienceThinking: Hyperparameter Optimization with Budget Constraints. - Chunnan Wang; Hongzhi Wang 001; Chang Zhou; Hanxiao Chen; Jianzhong Li 001; Hong Gao 001 (CoRR, 2019)

Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem. - Chunnan Wang; Hongzhi Wang 001; Tianyu Mu; Jianzhong Li 001; Hong Gao 001 (ICDE, 2020)

Automatic Hyper-Parameter Optimization Based on Mapping Discovery from Data to Hyper-Parameters. - Bozhou Chen; Kaixin Zhang; Longshen Ou; Chenmin Ba; Hongzhi Wang 001; Chunnan Wang (CoRR, 2020)

Multi-Objective Neural Architecture Search Based on Diverse Structures and Adaptive Recommendation. - Chunnan Wang; Hongzhi Wang 001; Guocheng Feng; Fei Geng (CoRR, 2020)

Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network. - Tianyu Mu; Hongzhi Wang 001; Chunnan Wang; Zheng Liang 002 (CoRR, 2020)

Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Existing Research Results. - Chunnan Wang; Kaixin Zhang; Hongzhi Wang 001; Bozhou Chen (CoRR, 2020)

TAILOR: time-aware facility location recommendation based on massive trajectories. - Zhixin Qi; Hongzhi Wang 001; Tao He; Chunnan Wang; Jianzhong Li 001; Hong Gao 001 (Knowl. Inf. Syst., 2020)

FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search. - Chunnan Wang; Bozhou Chen; Geng Li 003; Hongzhi Wang 001 (CoRR, 2021)

Attributed community search based on effective scoring function and elastic greedy method. - Chunnan Wang; Hongzhi Wang 001; Hanxiao Chen; Daxin Li (Inf. Sci., 2021)

ExperienceThinking: Constrained hyperparameter optimization based on knowledge and pruning. - Chunnan Wang; Hongzhi Wang 001; Chang Zhou; Hanxiao Chen (Knowl. Based Syst., 2021)

ATPFL: Automatic Trajectory Prediction Model Design under Federated Learning Framework. - Chunnan Wang; Xiang Chen 019; Junzhe Wang; Hongzhi Wang 001 (CVPR, 2022)

CO-AutoML: An Optimizable Automated Machine Learning System. - Chunnan Wang; Hongzhi Wang 001; Bo Xu; Xintong Song; Xiangyu Shi; Yuhao Bao; Bo Zheng (DASFAA (3), 2022)

TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model. - Chunnan Wang; Chen Liang 002; Xiang Chen 019; Hongzhi Wang 001 (CoRR, 2022)

AutoMC: Automated Model Compression based on Domain Knowledge and Progressive search strategy. - Chunnan Wang; Hongzhi Wang 001; Xiangyu Shi (CoRR, 2022)

AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning. - Chunnan Wang; Xingyu Chen; Chengyue Wu; Hongzhi Wang 001 (CoRR, 2022)

Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection. - Tianyu Mu; Hongzhi Wang 001; Chunnan Wang; Zheng Liang 002; Xinyue Shao (Inf. Sci., 2022)

Evaluating community quality based on ground-truth. - Chunnan Wang; Hongzhi Wang 001; Tianyu Mu; Zhixin Qi (Inf. Sci., 2022)

TSC-AutoML: Meta-learning for Automatic Time Series Classification Algorithm Selection. - Tianyu Mu; Hongzhi Wang 001; Shenghe Zheng; Zhiyu Liang; Chunnan Wang; Xinyue Shao; Zheng Liang 002 (ICDE, 2023)

Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search. - Chunnan Wang; Kaixin Zhang; Hongzhi Wang 001; Bozhou Chen (ACM Trans. Knowl. Discov. Data, 2023)

Identifying effective trajectory predictions under the guidance of trajectory anomaly detection model. - Chunnan Wang; Chen Liang 002; Xiang Chen 019; Hongzhi Wang 001 (Pattern Recognit., 2023)

Automated Graph Neural Network Search Under Federated Learning Framework. - Chunnan Wang; Bozhou Chen; Geng Li 003; Hongzhi Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Search for deep graph neural networks. - Guosheng Feng; Hongzhi Wang 001; Chunnan Wang (Inf. Sci., 2023)

AutoMC: Automated Model Compression Based on Domain Knowledge and Progressive Search. - Chunnan Wang; Hongzhi Wang 001; Xiangyu Shi (ICDE, 2024)

Automatic time series forecasting model design based on pruning. - Chunnan Wang; Xingyu Chen; Chengyue Wu; Hongzhi Wang 001 (Appl. Soft Comput., 2024)

Fair Federated Learning with Multi-Objective Hyperparameter Optimization. - Chunnan Wang; Xiangyu Shi; Hongzhi Wang 001 (ACM Trans. Knowl. Discov. Data, 2024)

AutoSR: Automatic Sequential Recommendation System Design. - Chunnan Wang; Hongzhi Wang 001; Junzhe Wang; Guosheng Feng (IEEE Trans. Knowl. Data Eng., 2024)

Meta-Learning Based CTR Algorithm Selection and Hyperparameter Optimization. - Chunnan Wang; Junzhe Wang; Xiang Chen 019; Xintong Song; Tianyu Mu; Hongzhi Wang 001 (ICDE, 2025)

BufferNAS: Buffer pool sampling in neural architecture search. - Hongzhi Wang 001; Chunnan Wang; Xintong Song; Fei Geng (Inf. Sci., 2026)