Invited Talks & Tutorials

2026
Scalable Normalizing Flows for Visual Generation
2025
End-to-End Generative Video Modeling with Scalable Normalizing Flows
Learning Reliable and Efficient Generative Intelligence
2024
Towards Flexible, Scalable and Knowledgeable Generative Intelligence
  • New York University, guest lecture Apr 16, 2024
  • University of Pennsylvania, guest lecture Oct 16, 2024
2023
BOOT: data-free distillation of denoising diffusion models with bootstrapping
  • ICML 2023 Workshop on Structured Probabilistic Inference & Generative Modeling Jul 28, 2023
Towards Efficient Diffusion Models for 3D Generation
  • BIRS Workshop, 3D Generative Models, virtual talk Jul 14, 2023
2022
Non-autoregressive Sequence Generation
2021
StyleNeRF: A style-based 3d-aware generator for high-resolution image synthesis
  • VALSE Webinar, virtual talk (Chinese) Dec 29, 2021
2020
Multilingual Denoising Pre-training for Neural Machine Translation
  • Google Translate, virtual talk Jul 17, 2020
  • ACL2020 WNGT Workshop, virtual talk Jul 10, 2020
Understanding Knowledge Distillation in Neural Sequence Generation
  • Tsinghua University, Beijing, China Jan 03, 2020
2019
Understanding Knowledge Distillation in Neural Sequence Generation
  • Microsoft Translate, Redmond, WA, USA Dec 04, 2019
2017
Non-autoregressive Neural Machine Translation
  • New York University, New York, NY, USA Dec 19, 2017
  • Google Brain, Mountain View, CA, USA Nov 20, 2017
Learning to Share: towards Zero-Resource Neural Machine Translation without Pivots
  • Microsoft Research, Redmond, WA, USA Jul 27, 2017
Trainable Decoding for Neural Machine Translation
  • NYU Shanghai, Shanghai, China Apr 14, 2017
2016
Learning to Translate in Real-time with Neural Machine Translation
  • Carnegie Mellon University, Pittsburgh, PA, USA Oct 27, 2016
  • New York University, New York, NY, USA Oct 19, 2016

Academic Service

Teaching