Bo Zhao

bozhaonanjing [AT] gmail [DOT] com

ABOUT ME

Bo Zhao is a Principal Investigator at Beijing Academy of Artificial Intelligence (BAAI). Before, he received Ph.D. from The University of Edinburgh and M.Eng. from Peking University. He was a research intern in Snap Inc. and SenseTime. His research interests include Data-centric AI, Machine Learning and Computer Vision. He received ICML 2022 Outstanding Paper Award. He was the only nominee of The University of Edinburgh for Informatics-Europe Best Dissertation Award 2023. He received NSFC funding on Dataset Condensation.

I am working on MLLM, DCAI and Embodied AI. We are recruiting interns and PhD students on these topics. Collaborations are welcome. Feel free to contact me.

News:

Try our lightweight MLLM - Bunny-3B: Demo Code.
I will serve as an Area Chair for NeurIPS 2024.
I will co-organize 1st Workshop on Dataset Distillation at CVPR 2024. Call for Papers.

PUBLICATIONS

Full list in Google Scholar

Real-Fake: Effective Training Data Synthesis Through Distribution Matching. Jianhao Yuan, Jie Zhang, Shuyang Sun, Philip Torr, Bo Zhao#. ICLR 2024. PDF. Code.
Accelerating Dataset Distillation via Model Augmentation. Lei Zhang*, Jie Zhang*, Bowen Lei, Subhabrata Mukherjee, Xiang Pan, Bo Zhao, Caiwen Ding, Yao Li, Dongkuan Xu. CVPR 2023 Highlight Paper (Top 2.5%). PDF.
Dataset Condensation with Distribution Matching. Bo Zhao; Hakan Bilen. WACV 2023. PDF. Code.
Synthesizing Informative Training Samples with GAN. Bo Zhao; Hakan Bilen. NeurIPS Workshops 2022. PDF. Code.
Privacy for Free: How does Dataset Condensation Help Privacy? Tian Dong; Bo Zhao; Lingjuan Lyu. ICML 2022 Outstanding Paper Award (Top 1.7‰). PDF.
CAFE: Learning to Condense Dataset by Aligning Features. Kai Wang*; Bo Zhao*; Xiangyu Peng; Zheng Zhu; Shuo Yang; Shuo Wang; Guan Huang; Hakan Bilen; Xinchao Wang; and Yang You. CVPR 2022. PDF.
Dataset Condensation with Differentiable Siamese Augmentation. Bo Zhao; Hakan Bilen. ICML 2021. PDF. Code.
Dataset Condensation with Gradient Matching. Bo Zhao; Konda Reddy Mopuri; Hakan Bilen. ICLR 2021 Oral Paper (Top 1.8%). PDF. Code.

The second-highest rated paper in ICLR 2021. Ranking.

Continual Representation Learning for Biometric Identification. Bo Zhao*; Shixiang Tang*; Dapeng Chen; Hakan Bilen; Rui Zhao. WACV 2021. PDF. Code.
iDLG: Improved Deep Leakage from Gradients. Bo Zhao; Konda Reddy Mopuri; Hakan Bilen. 2020. arXiv. Code.
Zero-shot Learning via Recurrent Knowledge Transfer. Bo Zhao; Xinwei Sun; Xiaopeng Hong; Yuan Yao; Yizhou Wang. WACV 2019. PDF. Code.
MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning. Bo Zhao*; Xinwei Sun*; Yanwei Fu; Yuan Yao; Yizhou Wang. ICML 2018. PDF. Code.
EasyFont: A Style Learning based System to Easily Build Your Large-scale Handwriting Fonts. Zhouhui Lian; Bo Zhao; Xudong Chen; Jianguo Xiao. ACM Transactions on Graphics, 2018, (presented at SIGGRAPH 2019) PDF.
Automatic Generation of Large-scale Handwriting Fonts via Style Learning. Zhouhui Lian; Bo Zhao; Jianguo Xiao. SIGGRAPH ASIA 2016. PDF.