Publications

  • CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending
    Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang*, Zhenguo Li. ECCV 2020.[GitHub]

  • CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search
    Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li. ECCV 2020.[GitHub]

  • Grammatically Recognizing Images with Tree Convolution
    Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin. KDD 2020.

  • Fashion Editing with Adversarial Parsing Learning
    Haoye Dong, Xiaodan Liang, Yixuan Zhang, Xujie Zhang, Zhenyu Xie, Bowen Wu, Ziqi Zhang, Xiaohui Shen, Jian Yin.CVPR 2020.[code]

  • Vision-Language Navigation with Self-Supervised Auxiliary Reasoning Tasks
    Fengda Zhu, Yi Zhu, Xiaojun Chang, Xiaodan Liang. CVPR 2020 (Oral)

  • Vision-Dialog Navigation by Exploring Cross-modal Memory
    Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang. CVPR 2020 [code]

  • Bidirectional Graph Reasoning Network for Panoptic Segmentation
    Yangxin Wu, Gengwei Zhang, Yiming Gao, Xiajun Deng, Ke Gong, Xiaodan Liang*, Liang Lin. CVPR 2020

  • SP-NAS: Serial-to-Parallel Backbone Search for Object Detection
    Chenhan Jiang, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li.CVPR 2020. [GitHub]

  • Blockwisely Supervised Neural Architecture Search with Knowledge Distillation
    Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang.CVPR 2020. [GitHub]

  • FW-GAN: Flow-navigated Warping GAN for Video Virtual Try-on
    Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bowei Wu, Bingcheng Chen, Jian Yin. ICCV 2019 [GitHub]

  • Towards Multi-pose Guided Virtual Try-on Network
    Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bochao Wang, Hanjiang Lai, Jia Zhu, Zhiting Hu, Jian Yin. ICCV 2019 [GitHub]

  • Meta R-CNN
    Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin. ICCV 2019. [code]

  • Target-Guided Open-Domain Conversation
    Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang*, Eric Xing, Zhiting Hu. ACL 2019 (Oral)[code]

  • Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation
    Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wangrong Zhu, Devendra Singh Sachan, Eric P. Xing
    ACL 2019 (Best Demo Paper Nomination) [arXiv] [Website] [GitHub] [Blog] [Blog in Chinese]

  • Rethinking Knowledge Graph Propagation for Zero-Shot Learning
    Michael C. Kampffmeyer, Yinbo Chen, Xiaodan Liang*, Hao Wang, Yujia Zhang, Eric Xing. CVPR 2019.[code]

  • Learning Personalized Modular Network Guided by Structured Knowledge (Oral)
    Xiaodan Liang. CVPR 2019

  • Graphonomy: Universal Human Parsing via Graph Transfer Learning
    Ke Gong, Yiming Gao, Xiaodan Liang*, Xiaohui Shen, Meng Wang, Liang Lin. CVPR 2019.[code]
  • Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks (Oral)
    Ziliang Chen, Jingyu Zhang, Xiaodan Liang, Liang Lin. CVPR 2019. [code]

  • AutoLoss: Learning Discrete Schedule for Alternate Optimization
    Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric Xing. ICLR 2019.[code]

  • End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis(Oral)
    Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang*, Jianheng Tang, Liang Lin. AAAI 2019. [GitHub]

  • Interpretable Visual Question Answering by Reasoning on Dependency Trees
    Qingxing Cao, Bailin Li, Xiaodan Liang*, Liang Lin. TPAMI, 2019.

  • A Modulation Module for Multi-task Learning with Applications in Image Retrieval
    Xiangyun Zhao, Haoxiang Li, Xiaohui Shen, Xiaodan Liang, Ying Wu. ECCV 2018.

  • Adaptive Temporal Encoding Network for Video Instance-level Human Parsing
    Qixian Zhou,Xiaodan Liang, Ke Gong, Liang Lin. ACM MM 2018.

  • Teaching Robots to Predict Human Motion
    Liangyan Gui, Kevin Zhang, Yuxiong Wang, Xiaodan Liang, Jose M.F. Moura, Manuela Veloso. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018. (Oral)

  • Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio
    Nanqing Dong, Michael C. Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing. MICCAI 2018

  • StepDeep: A Novel Spatial-temporal Mobility Event Prediction Framework based on Deep Neural Network
    Bilong Shen, Xiaodan Liang, Yufeng Ouyang, Miaofeng Liu, Weimin Zheng, Kathleen M. Carley. KDD 2018

  • Dynamic-structured Semantic Propagation Network[PDF]
    Xiaodan Liang, Hongfei Zhou, Eric P. Xing. CVPR 2018

  • Visual Question Reasoning on General Dependency Tree[PDF], [Pytorch code]
    Qingxing Cao, Xiaodan Liang, Bailing Li, Guanbin Li, Liang Lin. CVPR 2018. (Spotlight)

  • Reinforcement Cutting-Agent Learning for Video Object Segmentation
    Junwei Han, Le Yang, Dingwen Zhang, Xiaojun Chang, Xiaodan Liang. CVPR 2018. (Spotlight)

  • Structured Generative Adversarial Networks
    Hao Zhang, Zhijie Deng, Xiaodan Liang, Jun Zhu, Eric P. Xing. NIPS 2017 (Nvidia Pioneer Research Award)

  • Dual Motion GAN for Future-Flow Embedded Video Prediction
    Xiaodan Liang, Lisa Lee, Wei Dai, Eric P. Xing. ICCV 2017.

  • Recurrent Topic-Transition GAN for Visual Paragraph Generation[PDF]
    Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing. ICCV 2017.

  • Temporal Dynamic Graph LSTM for Action-driven Video Object Detection
    Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav gupta. ICCV 2017.

  • Nonparametric Variational Auto-encoders for Hierarchical Representation Learning[PDF]
    Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing. ICCV 2017.

  • Deep Attribute-preserving Metric Learning for Natural Language Object Retrieval
    Jianan LI, Yunchao Wei, Xiaodan Liang, Fang Zhao, Jianshu Li, Tingfa Xu, Jiashi Feng. ACM MM 2017.

  • Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.[PDF]
    Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, and Eric P. Xing.
    ATC (Oral), 2017.

  • Controllable Text Generation[PDF]
    Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing. ICML 2017. (Oral),

  • Deep learning based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms [PDF]
    Min Xu, Xiaoqi Chai, Hariank Muthakana, Xiaodan Liang, Ge Yang, Tzviya Zeev-Ben-Mordehai, Eric P. Xing. ISMB 2017, Bioinformatics doi:10.1093/bioinformatics/btx230 2017.

  • Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection[PDF]
    Xiaodan Liang, Lisa Lee, Eric P. Xing
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (Spotlight), 2017

  • Interpretable Structure-Evolving LSTM[PDF]
    Xiaodan Liang, Liang Lin, Xiaohui Shen, Jiashi Feng, Shuicheng Yan, Eric P. Xing
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (Spotlight), 2017

  • Recurrent 3D Pose Sequence Machines[PDF]
    Mude Lin, Xiaodan Liang, Keze Wang, Liang Lin
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (Oral), 2017

  • Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach[PDF]
    Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (Oral), 2017

  • Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing[PDF]
    Ke Gong, Xiaodan Liang, Xiaohui Shen, Liang Lin
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, equal contribution with first author

  • Perceptual Generative Adversarial Networks for Small Object Detection[PDF]
    Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017

  • Attention-Aware Face Hallucination via Deep Reinforcement Learning[PDF]
    Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Lin
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017

  • Look into Person: Joint Human Parsing and Pose Estimation Network and a New Benchmark
    Xiaodan Liang, Ke Gong, Xiaohui Shen, Liang Lin. TPAMI, 2018.[code]

  • Human Parsing with Contextualized Convolutional Neural Network [PDF][Page with Data]
    Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Jinhui Tang, Liang Lin, Shuicheng Yan
    IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2016.2537339, 2016.

  • Recognizing Focal Liver Lesions in CEUS with Dynamically Trained Latent Structured Models [PDF][Page with Data]
    Xiaodan Liang, Liang Lin, Qingxing Cao, Rui Huang, and Yongtian Wang
    IEEE Transactions on Medical Imaging (T-MI), 35(3): 713-727, 2016

  • Clothes Co-Parsing via Joint Image Segmentation and Labeling with Application to Clothing Retrieval [PDF][Page with Data]
    Xiaodan Liang, Liang Lin, Wei Yang, Ping Luo, Junshi Huang, and Shuicheng Yan
    IEEE Transactions on Multimedia (T-MM), 18(6): 1175-1186, 2016