| 2026 | ICS | WindStencil: Unleashing GPU Potential for High-Order Stencil Computation in High-Performance Inviscid CFD Simulations. | Xinxin Zhang, Haoyuan Zhang, Xiazhen Liu, Jialin Li, Runfeng Jin, Jian Zhang, Wu Yuan, Shan Liang, Zhonghua Lu |
| 2025 | ICA3PP | An Integrated Topology-Aware Mapping Scheme for Large-Scale CFD Applications on the ORISE Supercomputer. | Lin Gao, Wu Yuan, Xiazhen Liu, Shan Liang, Jian Zhang, Zhonghua Lu |
| 2025 | ICCD | FlashMP: Fast Discrete Transform-Based Solver for Preconditioning Maxwell's Equations on GPUs. | Haoyuan Zhang, Yaqian Gao, Xinxin Zhang, Jialin Li, Runfeng Jin, Yidong Chen, Feng Zhang, Wu Yuan, Wenpeng Ma, Shan Liang, Jian Zhang, Zhonghua Lu |
| 2025 | WWW | HRFT: Mining High-Frequency Risk Factor Collections End-to-End via Transformer. | Wenyan Xu, Rundong Wang, Chen Li, Yonghong Hu, Zhonghua Lu |
| 2024 | CEC | Generative Evolution Attacks Portfolio Selection. | Chen Li, Zidong Han, Jinrong Jiang, Lian Zhao, Yidi Bai, Zhonghua Lu, Xuebin Chi |
| 2024 | ICCD | MIST: Efficient Mixed-Precision Preconditioning Through Iterative Sparse- Triangular Solver Design. | Haoyuan Zhang, Yidong Chen, Wenpeng Ma, Wu Yuan, Jian Zhang, Zhonghua Lu |
| 2024 | SC | MixQ: Taming Dynamic Outliers in Mixed-Precision Quantization by Online Prediction. | Yidong Chen, Chen Zhang, Rongchao Dong, Haoyuan Zhang, Yonghua Zhang, Zhonghua Lu, Jidong Zhai |
| 2023 | ICA3PP | Distributed Generative Adversarial Networks for Fuzzy Portfolio Optimization. | Xueying Yang, Chen Li, Zidong Han, Zhonghua Lu |
| 2022 | CVPR | Computing Wasserstein-$p$ Distance Between Images with Linear Cost. | Yidong Chen, Chen Li, Zhonghua Lu |
| 2020 | ICA3PP | Digital Currency Investment Strategy Framework Based on Ranking. | Chuangchuang Dai, Xueying Yang, Meikang Qiu, Xiaobing Guo, Zhonghua Lu, Beifang Niu |
| 2020 | ICA3PP | Performance Optimization for Feature Extraction Section of DeepChem. | Ke Zhan, Zhonghua Lu, Yunquan Zhang |
| 2020 | ISPA | DCDFNE: build dataset to evaluate binary codes diffing tools and train deep learning models. | Ke Zhan, Zhonghua Lu, Bingchang Liu |
| 2019 | ISPA | An Intelligent Parallel Hybrid Algorithm for Multi-Objective Multi-Period Portfolio Selection Models with Fuzzy Random Returns. | Chen Li, Yulei Wu, Zhonghua Lu, Yonghong Hu |
| 2017 | HPCC | A Parallel Hybrid Intelligent Algorithm for Fuzzy Mean-CVaR Portfolio Model. | Chen Li, Zhonghua Lu, Yonghong Hu, Fang Liu, Jue Wang |
| 2009 | HPCC | A Task-Based Fault-Tolerance Mechanism to Hierarchical Master/Worker with Divisible Tasks. | Zhihui Dai, Fabien Viale, Xuebin Chi, Denis Caromel, Zhonghua Lu |
| 2009 | HPCC | A Parallel Refined Block Arnoldi Algorithm for Large Unsymmetric Matrices. | Tao Zhao, Xuebin Chi, Jinrong Jiang, Jun Liu, Zhonghua Lu |
| 2006 | CCGRID | Deploying Scientific Applications to the PRAGMA Grid Testbed: Strategies and Lessons. | David Abramson, Amanda Lynch, Hiroshi Takemiya, Yusuke Tanimura, Susumu Date, Haruki Nakamura, Karpjoo Jeong, Suntae Hwang, Ji Zhu, Zhonghua Lu, Cline Amoreira, Kim K. Baldridge, Hurng-Chun Lee, Chi-Wei Wang, Horng-Liang Shih, Tomas E. Molina, Wilfred W. Li, Peter W. Arzberger |
| 2006 | CCGRID | Analysis of the Bioinformatics Grid Technique Applications in China. | Ji Zhu, Ang Guo, Zhonghua Lu, Yongwei Wu, Bin Shen, Xuebin Chi |