Dr. Xi Lu

Tsinghua University,China
Tenured Professor

Harvard China Project
Affiliate

Email: [email protected]

Qualifications

2010 Ph.D., School of Engineering and Applied Sciences, Harvard University, Cambridge, MA

Publications (Selected)

1. Zeng, Y., Wu, Y., & Lu, X. (2026). RTFuzz: Fuzzing browsers via efficient render tree mutation. Computers & Security, 161, Article 104756.
2. Xiong, S., Tan, H., Hou, J., et al. (2025). Construction of Pyrene-based Covalent Organic Frameworks with D-π-D-π Molecular Structure and Their Electrochromic Properties. ECS Journal of Solid State Science and Technology, 14(11), Article 111007.
3. Xiong, S., Tan, H., Hou, J., et al. (2025). Infrared Electrochromic Properties Regulation of Poly(thieno[3,2-b]thiophene) Porous Films Prepared by Electrodeposition. ACS Applied Polymer Materials, 7(21), 15066–15074.
4. Hou, J., Li, Y., Tan, H., et al. (2025). Structural design and enhanced electrochromic properties of thiophene-based covalent organic framework. Journal of Colloid and Interface Science, 699, Article 138107.
5. Guan, L., Li, D., Chen, Y., et al. (2025). PipeOptim: Ensuring Effective 1F1B Schedule With Optimizer-Dependent Weight Prediction. IEEE Transactions on Knowledge and Data Engineering, 37(5), 2831–2845.
6. Liu, W., Lu, K., Lai, Z., et al. (2025). AutoPipe-H: A Heterogeneity-Aware Data-Paralleled Pipeline Approach on Commodity GPU Servers. IEEE Transactions on Computers, 74(4), 1196–1209.
7. Wu, B., Liu, Y., Du, F., et al. (2025). Platinum Nanoparticles Loaded on Ta2O5/MWCNTs to Improve Methanol Electrooxidation Activity. Catalysis Letters, 155(4), Article 150.
8. Wu, B., Lu, X., Du, F., et al. (2025). Enhancement of the catalytic activity of Pt nanoparticles toward methanol electro-oxidation using La-doped Ta2O5/MWCNTs supporting materials. Ionics, 31(5), 4505–4519.
9. Deng, X., Li, D., Sun, T., et al. (2025). Communication-Efficient Distributed Learning via Sparse and Adaptive Stochastic Gradient. IEEE Transactions on Big Data, 11(1), 234–246.
10. Lu, X., Cui, X., Tan, H., et al. (2025). A simple dip-coating approach to enhance the electrochromic performance of WO3 thin film by doping carbon quantum dots. Optical Materials, 168, Article 117520.
11. Guan, L., Li, D., Liang, J., et al. (2024). Advances of Pipeline Model Parallelism for Deep Learning Training: An Overview. Journal of Computer Science and Technology, 39(3), 567–584.
12. Chen, Y., Huang, Z., Hu, M., et al. (2023). Decoupled Two-Phase Framework for Class-Incremental Few-Shot Named Entity Recognition. Tsinghua Science and Technology, 28(5), 976–987.
13. Lu, X., Tian, J., Zhang, R., et al. (2023). A novel power-combination method using a time-reversal pulse-compression technique. Chinese Physics B, 32(8), Article 084101.
14. Wang, Y., Huang, Z., Hu, M., et al. (2023). Structure Enhanced Path Reasoning for Knowledge Graph Completion. International Journal of Intelligent Systems, 2023, Article 3022539.
15. Lu, X., Qiu, Y., Tian, J., et al. (2022). Analysis of time reversal cavity characteristics based on multipath channel model. Acta Physica Sinica, 71(2), Article 024101.
16. Li, M., Lu, X., Huang, Y., et al. (2021). Differential Analysis of Goat Milk at Different Latitudes Based on Metabolomics Technology. Chinese Journal of Analytical Chemistry, 49(11), 1864–1872.
17. Guan, L., Yang, Z., Li, D., et al. (2021). pdlADMM: An ADMM-based framework for parallel deep learning training with efficiency. Neurocomputing, 435, 264–272.
18. Zhao, H., Luo, X., Ma, R., et al. (2021). An Extended Regularized K-Means Clustering Approach for High-Dimensional Customer Segmentation With Correlated Variables. IEEE Access, 9, 48405–48412.
19. Wei, Z., Su, J., Zhao, B., et al. (2020). Distributed Opportunistic Scheduling in Cooperative Networks With RF Energy Harvesting. IEEE/ACM Transactions on Networking, 28(5), 2257–2270.
20. Guan, L., Sun, T., Qiao, L., et al. (2020). An efficient parallel and distributed solution to nonconvex penalized linear SVMs. Frontiers of Information Technology & Electronic Engineering, 21(4), 587–603.

Profile Details
https://chinaproject.harvard.edu/people/xi-lu
https://www.researchgate.net/profile/Xi-Lu-37

WOS ResearcherID: LVC-4055-2024