現(xiàn)任深圳理工大學(xué)人工智能學(xué)院副教授,碩士生導(dǎo)師。博士畢業(yè)于美國弗吉尼亞理工大學(xué)。曾任美國自動駕駛公司Motional高級研究員。在NeurIPS,AAAI, EMNLP等人工智能領(lǐng)域頂級期刊和會議發(fā)表論文十余篇。連續(xù)多年擔(dān)任NeurIPS,ICML, 等頂級會議審稿人。目前主要研究方向:
1.深度生成模型:結(jié)合現(xiàn)代深度學(xué)習(xí)和大模型技術(shù),提升生成模型的生成樣本質(zhì)量,減少訓(xùn)練和推理速度。擴(kuò)展模型應(yīng)用范圍,解決實(shí)際問題。
2.自動駕駛系統(tǒng):開發(fā)自動駕駛軌跡預(yù)測規(guī)劃基礎(chǔ)大模型,提升算法效率,減小預(yù)測誤差。
深度生成模型,結(jié)構(gòu)預(yù)測,弱監(jiān)督學(xué)習(xí),軌跡預(yù)測與規(guī)劃
學(xué)習(xí)經(jīng)歷
2017.09 - 2021.12,弗吉尼亞理工大學(xué),博士
2015.09 - 2017.05科羅拉多大學(xué)博爾德分校,碩士
2012.09 – 2015.05吉林大學(xué),碩士
2008.09 – 2012.05吉林大學(xué),學(xué)士
工作經(jīng)歷
2025. 08 –至今,深圳理工大學(xué),副教授
2022.02 – 2025.07,Motional,高級研究員
1. You Lu, Wenzhuo Song, Chidubem Arachie, Bert Huang. Weakly supervised label learning flows. Neural Networks 182 (2025): 106892. (CCF B)
2. You Lu, Yue Tian, Shaobo Han, Eric Cosatto, Sarper Ozharar, and Yangmin Ding. Automatic Fine-grained Localization of Utility Pole Landmarks on Distributed Acoustic Sensing Traces Based on Bilinear Resnets. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021. (CCF B)
3. You Lu, and Bert Huang. Woodbury Transformations for Deep Generative Flows. Advances in Neural Information Processing Systems (NeurIPS), 2020. (CCF A)
4. You Lu, and Bert Huang. Structured Output Learning with Conditional Generative Flows. AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF A)
5. You Lu, Zhiyuan Liu, and Bert Huang. Block Belief Propagation for Parameter Learning in Markov Random Fields. AAAI Conference on Artificial Intelligence (AAAI), 2019. (CCF A)
6. Wenzhuo Song, Shengsheng Wang, Bo Yang, You Lu, Xuehua Zhao, and Xueyan Liu. Learning node and edge embeddings for signed networks. Neurocomputing 319 (2018): 42-54 2018.
7. You Lu, Jeffrey Lund, and Jordan Boyd-Graber. Why ADAGRAD Fails for Online Topic Modeling. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017. (CCF B)
8. Li, Ximing, Jihong Ouyang, You Lu, Xiaotang Zhou, and Tian Tian. Group topic model: organizing topics into groups.Information Retrieval Journal 18.1 (2015): 1-25. (CCF C)
9. Li, Ximing, Jihong Ouyang, and You Lu. Topic modeling for large-scale text data. Frontiers of Information Technology \& Electronic Engineering 16.6 (2015): 457-465.
10. Li, Ximing, Jihong Ouyang, Xiaotang Zhou, You Lu, and Yanhui Liu. Supervised labeled latent Dirichlet allocation for document categorization. Applied Intelligence 42.3 (2015): 581-593. (CCF C)
11. Ouyang, Jihong, You Lu, and Ximing Li. Momentum online LDA for large-scale datasets. European Conference on Artificial Intelligence (ECAI), 2014. (CCF B)