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ORCIDChan Lu
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2020 – today
- 2023
[c5]Chan Lu
:
An Analysis of Organizational Approaches for Advancing American University AI Education. FIE 2023: 1-6- [c4]Chan Lu, Awn Ja Lu:
Attempts and Challenges in Establishing an Undergraduate AI Major. FIE 2023: 1-8 - 2022
- [c3]Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang:
GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. AAAI 2022: 4014-4021 - [i4]Lanqing Li, Liang Zeng, Ziqi Gao, Shen Yuan, Yatao Bian, Bingzhe Wu, Hengtong Zhang, Chan Lu, Yang Yu, Wei Liu, Hongteng Xu, Jia Li, Peilin Zhao, Pheng-Ann Heng:
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery. CoRR abs/2209.07921 (2022) - [i3]Jiahan Liu, Chaochao Yan, Yang Yu, Chan Lu, Junzhou Huang, Le Ou-Yang, Peilin Zhao:
MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction. CoRR abs/2209.13178 (2022) - 2021
- [i2]Chaochao Yan, Peilin Zhao, Chan Lu, Yang Yu, Junzhou Huang:
RetroComposer: Discovering Novel Reactions by Composing Templates for Retrosynthesis Prediction. CoRR abs/2112.11225 (2021)
2010 – 2019
- 2019
- [c2]Xiang Li, Chan Lu, Danni Cheng, Weihong Li, Mei Cao, Bo Liu, Jiechao Ma, Wei-Shi Zheng:
Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks. ICIG (1) 2019: 345-356 - [i1]Xiang Li, Chan Lu, Danni Cheng, Weihong Li, Mei Cao, Bo Liu, Jiechao Ma, Wei-Shi Zheng:
Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks. CoRR abs/1905.12845 (2019) - 2018
- [c1]Danni Cheng, Xiang Li, Weihong Li, Chan Lu, Fake Li, Hua Zhao, Wei-Shi Zheng:
Large-Scale Visible Watermark Detection and Removal with Deep Convolutional Networks. PRCV (3) 2018: 27-40
Coauthor Index
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