1 code implementation • 11 Dec 2023 • Abdullah Rashwan, Jiageng Zhang, Ali Taalimi, Fan Yang, Xingyi Zhou, Chaochao Yan, Liang-Chieh Chen, Yeqing Li
With ResNet50 backbone, our MaskConver achieves 53. 6% PQ on the COCO panoptic val set, outperforming the modern convolution-based model, Panoptic FCN, by 9. 3% as well as transformer-based models such as Mask2Former (+1. 7% PQ) and kMaX-DeepLab (+0. 6% PQ).
Ranked #8 on
Panoptic Segmentation
on COCO test-dev
no code implementations • 27 Sep 2022 • Jiahan Liu, Chaochao Yan, Yang Yu, Chan Lu, Junzhou Huang, Le Ou-Yang, Peilin Zhao
In this paper, we propose a novel end-to-end graph generation model for retrosynthesis prediction, which sequentially identifies the reaction center, generates the synthons, and adds motifs to the synthons to generate reactants.
Ranked #2 on
Single-step retrosynthesis
on USPTO-50k
1 code implementation • 20 Dec 2021 • Chaochao Yan, Peilin Zhao, Chan Lu, Yang Yu, Junzhou Huang
To overcome this limitation, we propose an innovative retrosynthesis prediction framework that can compose novel templates beyond training templates.
Ranked #3 on
Single-step retrosynthesis
on USPTO-50k
no code implementations • 18 Jun 2021 • Marco Fornoni, Chaochao Yan, Liangchen Luo, Kimberly Wilber, Alex Stark, Yin Cui, Boqing Gong, Andrew Howard
When interacting with objects through cameras, or pictures, users often have a specific intent.
1 code implementation • 16 Dec 2020 • Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang
Graph Neural Networks (GNNs) draw their strength from explicitly modeling the topological information of structured data.
1 code implementation • NeurIPS 2020 • Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang
Retrosynthesis is the process of recursively decomposing target molecules into available building blocks.
no code implementations • ECCV 2020 • Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang
Unsupervised domain adaptation enables to alleviate the need for pixel-wise annotation in the semantic segmentation.
Ranked #28 on
Domain Adaptation
on SYNTHIA-to-Cityscapes
no code implementations • 9 Mar 2020 • Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang
To achieve this goal, we design two cross-domain attention modules to adapt context dependencies from both spatial and channel views.
Ranked #29 on
Domain Adaptation
on SYNTHIA-to-Cityscapes
1 code implementation • 1 Oct 2019 • Chaochao Yan, Sheng Wang, Jinyu Yang, Tingyang Xu, Junzhou Huang
We investigate the posterior collapse problem of current RNN-based VAEs for molecule sequence generation.
no code implementations • 16 Jul 2018 • Chaochao Yan, Jiawen Yao, Ruoyu Li, Zheng Xu, Junzhou Huang
Chest X-rays is one of the most commonly available and affordable radiological examinations in clinical practice.