Scholar
Lu Jiang
Google Scholar ID: jIKjjSYAAAAJ
Research Scientist @ Apple
Citations & Impact
Citations
13,546
H-index
42
i10-index
66
Publications
20
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- [2025/05] Introduced Seaweed-7B, a cost-efficient foundation model for video generation
- [2025/03] Released Long Context Tuning (LCT), enabling scene-level video storytelling up to 5 minutes
- [2025/04] Delivered a lecture at DeepLearn
- [2025/02] Served as Area Chair for ICML 2025, ICCV 2025, and NeurIPS 2025
- [2025/01] Introduced Seaweed-APT, a one-step video generation method for high-quality video synthesis
- [2024/10] Served as Area Chair for ICLR 2025 and CVPR 2025, Action Editor for TMLR
- [2024/08] Honored to receive the IJCAI-JAIR Best Paper Award
- [2024/07] Grateful to receive the ICML Best Paper Award
- [2024/07] Gave a keynote at ICME 2024
- [2024/08] Appointed Associate Editor for TPAMI
- [2024/01] Served as Area Chair for CVPR 2024 and ICML 2024
- [2024/01] MAGVIT-v2, a leading video tokenizer powering VideoPoet and WALT, was accepted to ICLR 2024
- [2023/12] Announced VideoPoet, my primary 2023 focus, from initial design through v0 to current milestones
- [2023/11] Released W.A.L.T, a diffusion-based transformer model for photorealistic video generation in a unified latent space
- [2023/11] Released StyleDrop, enabling few-shot personalized text-to-image synthesis
- [2023/03] MAGVIT for multi-task video generation was accepted to CVPR 2023 as Highlight
- [2023/03] Served as Area Chair for ICCV 2023 and NeurIPS 2023
- [2023/01] Introduced MUSE, a masked vision transformer for text-to-image generation
- [2022/12] Served as Area Chair for CVPR 2023
- [2022/06] Pyramid Adversarial Training (CVPR'22) selected as a Best Paper Finalist
- [2022/06] Released code for ViTGAN (ICLR'22)
- [2022/06] Controlled Noisy Web Labels dataset (ICML'20) is now available via TFDS
- [2021/10] Joined Carnegie Mellon University as Adjunct Faculty
- [2021/09] Received Best Reviewer awards at ICML 2020–2021 and Outstanding Reviewer at NeurIPS 2021
- [2021/03] Released LeCAM-GAN (CVPR'21), top-ranked on CIFAR-100 and ImageNet (25%)
- [2021/05] Gave invited talks on robust deep learning at ICLR 2021 WeaSuL Workshop and CMU LTI
- [2020/10] Congrats to Yu Wu on receiving the Google Fellowship 2020
- [2020/07] Published our work on robust learning from noisy labels at ICML 2020
- [2020/06] Released The Garden of Forking Paths dataset for evaluating multiple plausible futures
- [2020/05] Co-organized two CVPR 2020 workshops: AI for Content Creation and Language and Vision
- [2019/09] Congrats to intern Junwei Liang on receiving Baidu Scholarship 2019
- [2019/09] Served as panelist for NSF America's Seed Fund (SBIR) on AI
- [2019/07] Best Paper Candidate at ACL 2019 (top 1%)
- [2019/05] Released TIRG (CVPR'19) for vision-language image retrieval
- [2019/05] Released activity prediction model (CVPR'19), with demo
- [2019/05] Released Eidetic-3D LSTM (ICLR'19)
- [2019/03] Gave guest lectures (LTI-11-775) on vision + language at CMU
- [2019/01] Released Graph Distillation (ECCV'18) on GitHub
Background
- Focused on visual generation and multimodal foundation models. Previously worked at ByteDance/TikTok, Google, and as an Adjunct Faculty member at Carnegie Mellon University. Research addresses real-world challenges in robust deep learning, generative AI, and large-scale multimodal data.
