Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays. - Chaochao Yan; Jiawen Yao; Ruoyu Li 002; Zheng Xu 005; Junzhou Huang (BCB, 2018)

Graph Convolutional Nets for Tool Presence Detection in Surgical Videos. - Sheng Wang 001; Zheng Xu 005; Chaochao Yan; Junzhou Huang (IPMI, 2019)

Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation. - Chaochao Yan; Sheng Wang 001; Jinyu Yang; Tingyang Xu; Junzhou Huang (BCB, 2020)

Improving Molecular Property Prediction on Limited Data with Deep Multi-Label Learning. - Hehuan Ma; Chaochao Yan; Yuzhi Guo; Sheng Wang 001; Yuhong Wang; Hongmao Sun; Junzhou Huang (BIBM, 2020)

Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation. - Jinyu Yang; Weizhi An; Sheng Wang 001; Xinliang Zhu; Chaochao Yan; Junzhou Huang (ECCV (27), 2020)

RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist. - Chaochao Yan; Qianggang Ding; Peilin Zhao; Shuangjia Zheng; Jinyu Yang; Yang Yu 010; Junzhou Huang (NeurIPS, 2020)

Hierarchical Graph Capsule Network. - Jinyu Yang; Peilin Zhao; Yu Rong 001; Chaochao Yan; Chunyuan Li; Hehuan Ma; Junzhou Huang (AAAI, 2021)

Gradient-Norm Based Attentive Loss for Molecular Property Prediction. - Hehuan Ma; Yu Rong 001; Boyang Liu; Yuzhi Guo; Chaochao Yan; Junzhou Huang (BIBM, 2021)

Context-Aware Domain Adaptation in Semantic Segmentation. - Jinyu Yang; Weizhi An; Chaochao Yan; Peilin Zhao; Junzhou Huang (WACV, 2021)

Bridging the Gap Between Object Detection and User Intent via Query-Modulation. - Marco Fornoni; Chaochao Yan; Liangchen Luo; Kimberly Wilber; Alex Stark; Yin Cui; Boqing Gong; Andrew G. Howard (CoRR, 2021)

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

MEANGS: an efficient seed-free tool for de novo assembling animal mitochondrial genome using whole genome NGS data. - Meng-Huan Song; Chaochao Yan; Jiatang Li (Briefings Bioinform., 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)

Molecule Sequence Generation with Rebalanced Variational Autoencoder Loss. - Chaochao Yan; Jinyu Yang; Hehuan Ma; Sheng Wang 001; Junzhou Huang (J. Comput. Biol., 2023)

MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation. - Abdullah Rashwan; Jiageng Zhang; Ali Taalimi; Fan Yang; Xingyi Zhou; Chaochao Yan; Liang-Chieh Chen; Yeqing Li (WACV, 2024)