My Doctoral Dissertation (in Chinese): Research on Invertible Generative Models and Efficient Algorithms, supervised by Prof. Jun Zhu. Continuous-time consistency models with sample quality comparable to leading diffusion models in just two sampling steps. High-fidelity text-to-3D generation with solely 2D diffusion models.

Cheng Lu. OpenAI. 在 openai.com 的电子邮件经过验证 ... H Guo, C Lu, F Bao, T Pang, S Yan, C Du, C Li. Advances in Neural Information Processing Systems 36, 25598-25626, 2023. 12: 2023: On calibrating diffusion probabilistic models. T Pang, C Lu, C Du, M Lin, S Yan, Z Deng.

I am a tenure-track Assistant Professor in the Department of Computer Science at University of Illinois Chicago (UIC). I lead the Responsible and Reliable AI Lab (R 2 Lab).

Lu Cheng. Assistant Professor, UIC CS. Verified email at uic.edu - Homepage. Socially Responsible AI Causal Machine Learning Data Mining AI for Good. ... L Cheng, R Guo, R Moraffah, P Sheth, KS Candan, H Liu. IEEE TAI, 2022. 79: 2022: Improving cyberbullying detection with user interaction.

Cheng Lu. Ph.D. Candidate, Stevens Institute of Technology. Verified email at stevens.edu. Reinforcement Learning Risk ... Cited by. Year; ChatGPT informed graph neural network for stock movement prediction. Z Chen, LN Zheng, C Lu, J Yuan, D Zhu. 2023 SIGKDD Workshop on Robust NLP for Finance (RobustFin), 2023. 47: 2023: When positive sentiment ...

Promoting openness in scientific communication and the peer-review process

Member of Technical Staff @openai . LuChengTHU has 43 repositories available. Follow their code on GitHub.

Training-free fast samplers for difusion models, within only 10 to 20 steps. Widely-used in various text-to-image difusion models, such as stable-difusion (v1, v2, XL and LoRA variants), DreamStudio, StableBoost, Stable-Difusion-WebUI, Apple’s …

Cheng Lu, Yuan Zong, Wenming Zheng, Yang Li, Chuangao Tang, Björn W Schuller, Domain invariant feature learning for speaker-independent speech emotion recognition, IEEE/ACM Transactions on...

Lu, C., Koyuncu, C., Corredor-Prada, G., Prasanna, P., Leo, P., WAng, X., Janowczyk, A., Bera, K., Lewis, J., Velcheti, V., & Madabhushi, A. (2021). Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers.