| 2026 | AAAI | Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning. | Yingnan Zhao, Xinmiao Wang, Dewei Wang, Xinzhe Liu, Dan Lu, Qilong Han, Peng Liu, Chenjia Bai |
| 2025 | CSCWD | A Personalized Secondary Perturbation Mechanism Based on Local Differential Privacy. | Dan Lu, Yan Wang, Degang Sun |
| 2025 | ICDM | FFTSF: Revisiting Sub-Seasonal Streamflow Forecasting with Simple Feedforward Network. | Anukesh Krishnankutty Ambika, Kshitij Tayal, Dan Lu |
| 2025 | ICDM | Adaptive Graph Learning with Transformer for Multi-Reservoir Inflow Prediction. | Pengfei Hu, Ming Fan, Xiaoxue Han, Chang Lu, Wei Zhang, Hyun Kang, Yue Ning, Dan Lu |
| 2025 | ISCAS | MCG-STNet: Multi-level Cross-view Graph Convolution Networks for Spatio-Temporal Forecasting. | Hexiang Liu, Qilong Han, Jingyu Sheng, Dan Lu, Min Zheng, Hui Sun |
| 2025 | SC | ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling. | Xiao Wang, Jong-Youl Choi, Takuya Kurihana, Isaac Lyngaas, Hong-Jun Yoon, Xi Xiao, David Pugmire, Ming Fan, Nasik Muhammad Nafi, Aristeidis Tsaris, Ashwin M. Aji, Maliha Hossain, Mohamed Wahib, Dali Wang, Peter E. Thornton, Prasanna Balaprakash, Moetasim Ashfaq, Dan Lu |
| 2025 | SC | Distributed Cross-Channel Hierarchical Aggregation for Foundation Models. | Aristeidis Tsaris, Isaac Lyngaas, John H. Lagergren, Mohamed Wahib, Larry M. York, Prasanna Balaprakash, Dan Lu, Feiyi Wang, Xiao Wang |
| 2024 | DASFAA | Independent Embedding-Based Relational Enhancement Model for Hyper-Relational Knowledge Graph. | Qilong Han, Jiahang Li, Dan Lu, Lijie Li, Bingyi Xie |
| 2024 | DASFAA | Enhancing Spatiotemporal Prediction with Intra- and Inter-granularity Contrastive Learning. | Qilong Han, Shanshan Sui, Dan Lu, Shiqing Wu, Guandong Xu |
| 2024 | ICDM | ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction. | Kshitij Tayal, Arvind Renganathan, Xiaowei Jia, Vipin Kumar, Dan Lu |
| 2024 | QRS | Complex Network Theory-based Deep Neural Network Degradation Analysis in the Context of Bit Attack. | Qi Shao, Shunkun Yang, Yijing Zhou, Dan Lu, Qi Yao |
| 2024 | SC | ORBIT: Oak Ridge Base Foundation Model for Earth System Predictability. | Xiao Wang, Siyan Liu, Aristeidis Tsaris, Jong-Youl Choi, Ashwin M. Aji, Ming Fan, Wei Zhang, Junqi Yin, Moetasim Ashfaq, Dan Lu, Prasanna Balaprakash |
| 2024 | SC | A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics. | Junqi Yin, Siming Liang, Siyan Liu, Feng Bao, Hristo G. Chipilski, Dan Lu, Guannan Zhang |
| 2023 | GPC | Review of Deep Learning-Based Entity Alignment Methods. | Dan Lu, Guoyu Han, Yingnan Zhao, Qilong Han |
| 2023 | GPC | Anomaly Detection of Industrial Data Based on Multivariate Multi Scale Analysis. | Dan Lu, Siao Li, Yingnan Zhao, Qilong Han |
| 2023 | GPC | UEBCS: Software Development Technology Based on Component Selection. | Yingnan Zhao, Xuezhao Qi, Jian Li, Dan Lu |
| 2023 | GPC | Research on Script-Based Software Component Development. | Yingnan Zhao, Yang Sun, Bin Fan, Dan Lu |
| 2023 | ICANN | Multi-source Open-Set Image Classification Based on Deep Adversarial Domain Adaptation. | Haitao Zhang, Xinran Liu, Qilong Han, Dan Lu |
| 2023 | ICMLA | Accelerating Scientific Simulations with Bi-Fidelity Weighted Transfer Learning. | Katarzyna Borowiec, Dan Lu, Vikas Chandan, Samrat Chatterjee, Pradeep Ramuhalli, Ramakrishna Tipireddy, Mahantesh Halappanavar, Frank Liu |
| 2023 | ICONIP | DAGAN: Generative Adversarial Network with Dual Attention-Enhanced GRU for Multivariate Time Series Imputation. | Hongtao Song, Xiangran Fang, Dan Lu, Qilong Han |
| 2023 | ICONIP | SRLI: Handling Irregular Time Series with a Novel Self-supervised Model Based on Contrastive Learning. | Haitao Zhang, Xujie Zhang, Qilong Han, Dan Lu |
| 2022 | ECCV | Exploiting the Local Parabolic Landscapes of Adversarial Losses to Accelerate Black-Box Adversarial Attack. | Hoang Tran, Dan Lu, Guannan Zhang |
| 2022 | ICDM | Identifying Hydrometeorological Factors Influencing Reservoir Releases Using Machine Learning Methods. | Ming Fan, Lujun Zhang, Siyan Liu, Tiantian Yang, Dan Lu |
| 2022 | ICDM | Improving net ecosystem CO2 flux prediction using memory-based interpretable machine learning. | Siyan Liu, Dan Lu, Daniel M. Ricciuto, Anthony P. Walker |
| 2022 | ICLR | PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks. | Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang |
| 2022 | IJCNN | MTGnet: Multi-Task Spatiotemporal Graph Convolutional Networks for Air Quality Prediction. | Dan Lu, Rui Chen, Shanshan Sui, Qilong Han, Linglong Kong, Yichen Wang |
| 2021 | APWEB | Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior. | Dan Lu, Le Wu, Rui Chen, Qilong Han, Yichen Wang, Yong Ge |
| 2021 | IJCAI | Fine-Grained Air Quality Inference via Multi-Channel Attention Model. | Qilong Han, Dan Lu, Rui Chen |
| 2021 | UAI | Enabling long-range exploration in minimization of multimodal functions. | Jiaxin Zhang, Hoang Tran, Dan Lu, Guannan Zhang |
| 2020 | ICDM | Efficient Distance-based Global Sensitivity Analysis for Terrestrial Ecosystem Modeling. | Dan Lu, Daniel M. Ricciuto |
| 2019 | ICDM | An Efficient Bayesian Method for Advancing the Application of Deep Learning in Earth Science. | Dan Lu, Siyan Liu, Daniel M. Ricciuto |
| 2019 | ICDM | Learning-Based Inversion-Free Model-Data Integration to Advance Ecosystem Model Prediction. | Dan Lu, Daniel M. Ricciuto |
| 2017 | WoWMoM | City-Eyes: A multi-source data integration basec smart city analysis system. | Zijian Ma, Dan Lu, Qian Liu, Jingyuan Wang, Zhang Xiong |
| 2015 | KSEM | Distributed Recommendation Algorithm Based on Matrix Decomposition on MapReduce Framework. | Sen Wu, Dan Lu, Yannan Du, Xiaodong Feng |
| 2007 | SIGGRAPH | Letters I, Letters II. | Dan Lu |
| 2006 | SIGGRAPH | Transition I, Transition III. | Dan Lu |
| 2002 | SIGGRAPH | Formation. | Dan Lu |