# Internal links

# Academic talk

Dataset Distillation Emerging Trends and Applications (数据集蒸馏与修剪:精简机器学习效能) - Dr. Tianyi Zhou (周天异博士) - A*STAR - 03/19/2024
PixArt-基于Diffusion Transformer从头高效训练文生图扩散模型 - Dr. Enze Xie (谢恩泽博士) - Huawei - 05/08/2024
Self-supervised Deep Learning Methods in Imaging (图像恢复的自监督学习算法) - Dr. Tongyao Pang (庞彤瑶博士) - Tsinghua University - 06/07/2024
Generate Anything: Learning to Generate Things and Stuff (生成一切：学习生成事物和物品) - Dr. Hao Tang (唐浩博士) - Peking University - 06/17/2024
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits (可能随时安全的随机组合Semi-Bandits) - Dr. Yunlong Hou (侯云泷博士) - National University of Singapore - 08/12/2024
Reduce AI's Carbon Footprint (减少AI的碳足迹) - Dr. Guosheng Hu (胡国圣博士) - Oosto - 08/15/2024

# Reading group

# 20240620预告

陈卓
- Guo, Yuwei, et al. "Animatediff: Animate your personalized text-to-image diffusion models without specific tuning." arXiv preprint arXiv:2307.04725 (2023).
曹啸
- Chan, Stanley H. "Tutorial on Diffusion Models for Imaging and Vision." arXiv preprint arXiv:2403.18103 (2024). -- (SDE Part).

# 会议时间

日期: 2024年06月20日（周四）
时间: 下午16:30~18:00

# 会议地点

线下: 清水河校区6号科研楼-A566
腾讯会议: 140-716-661

# Materials

For talk slides and schedule please visit: [Shenzhen Lab] [Chengdu Lab].

# Resource management

GitHub organization

# Lab management