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2020 – today
- 2023
[c3]Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao:
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning. ICML 2023: 8632-8656- [i8]Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao:
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning. CoRR abs/2305.01233 (2023) - [i7]Chenxu Hu, Jie Fu, Chenzhuang Du, Simian Luo, Junbo Zhao, Hang Zhao:
ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory. CoRR abs/2306.03901 (2023) - [i6]Chenzhuang Du, Yue Zhao, Chonghua Liao, Jiacheng You, Jie Fu, Hang Zhao:
Improving Discriminative Multi-Modal Learning with Large-Scale Pre-Trained Models. CoRR abs/2310.05193 (2023) - [i5]Siting Li, Chenzhuang Du, Yue Zhao, Yu Huang, Hang Zhao:
What Makes for Robust Multi-Modal Models in the Face of Missing Modalities? CoRR abs/2310.06383 (2023) - 2022
- [c2]Yue Zhao, Chenzhuang Du, Hang Zhao, Tiejun Li:
Intrinsically Motivated Self-supervised Learning in Reinforcement Learning. ICRA 2022: 3605-3615 - 2021
- [c1]Yu Huang, Chenzhuang Du, Zihui Xue, Xuanyao Chen, Hang Zhao, Longbo Huang:
What Makes Multi-Modal Learning Better than Single (Provably). NeurIPS 2021: 10944-10956 - [i4]Yu Huang, Chenzhuang Du, Zihui Xue, Xuanyao Chen, Hang Zhao, Longbo Huang:
What Makes Multimodal Learning Better than Single (Provably). CoRR abs/2106.04538 (2021) - [i3]Chenzhuang Du, Tingle Li, Yichen Liu, Zixin Wen, Tianyu Hua, Yue Wang, Hang Zhao:
Improving Multi-Modal Learning with Uni-Modal Teachers. CoRR abs/2106.11059 (2021) - [i2]Yue Zhao, Chenzhuang Du, Hang Zhao, Tiejun Li:
Intrinsically Motivated Self-supervised Learning in Reinforcement Learning. CoRR abs/2106.13970 (2021) - 2020
- [i1]Chenwei Wu, Chenzhuang Du, Yang Yuan:
Secure Data Sharing With Flow Model. CoRR abs/2009.11762 (2020)
Coauthor Index
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