Large-Scale Visible Watermark Detection and Removal with Deep Convolutional Networks. - Danni Cheng; Xiang Li 032; Weihong Li; Chan Lu; Fake Li; Hua Zhao; Wei-Shi Zheng 001 (PRCV (3), 2018)

Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks. - Xiang Li 032; Chan Lu; Danni Cheng; Weihong Li; Mei Cao; Bo Liu; Jiechao Ma; Wei-Shi Zheng 001 (ICIG (1), 2019)

RetroComposer: Discovering Novel Reactions by Composing Templates for Retrosynthesis Prediction. - Chaochao Yan; Peilin Zhao; Chan Lu; Yang Yu 010; Junzhou Huang (CoRR, 2021)

GNN-Retro: Retrosynthetic Planning with Graph Neural Networks. - Peng Han 005; Peilin Zhao; Chan Lu; Junzhou Huang; Jiaxiang Wu 001; Shuo Shang; Bin Yao 002; Xiangliang Zhang 001 (AAAI, 2022)

ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery. - Lanqing Li; Liang Zeng 002; Ziqi Gao; Shen Yuan; Yatao Bian; Bingzhe Wu; Hengtong Zhang; Chan Lu; Yang Yu 010; Wei Liu 005; Hongteng Xu; Jia Li 009; et al. (CoRR, 2022)

MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction. - Jiahan Liu; Chaochao Yan; Yang Yu 010; Chan Lu; Junzhou Huang; Le Ou-Yang; Peilin Zhao (CoRR, 2022)

Exploring Organizational Strategies in Environmental Engineering Graduate Education: A Comparative Analysis of the Georgia Institute of Technology and the University of Georgia. - Chan Lu; Gengyang Li; Jian Wu (FIE, 2024)