Xiaodan Liang

发表

CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending pdf

Wei Zhang, Hang Xu, Shaoju Wang, 2020, ECCV.

Visual Question Reasoning on General Dependency Tree

Liang Lin, Xiaodan Liang, Qingxing Cao, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Unsupervised Object-Level Video Summarization with Online Motion Auto-Encoder

Eric P. Xing, Min Tan, Xiaodan Liang, 2018, Pattern Recognit. Lett..

Real-to-Virtual Domain Unification for End-to-End Autonomous Driving

Eric P. Xing, Xiaodan Liang, Luona Yang, 2018, ECCV.

Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation pdf

Eric P. Xing, Zhiting Hu, Xiaodan Liang, 2019, AAAI.

Hybrid Knowledge Routed Modules for Large-scale Object Detection

Liang Lin, Xiaodan Liang, Hang Xu, 2018, NeurIPS.

Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation pdf

Hang Xu, Xiaodan Liang, Liang Lin, 2020, NeurIPS.

Instance-level Human Parsing via Part Grouping Network pdf

Ming Yang, Liang Lin, Xiaodan Liang, 2018, ECCV.

Tree-Structured Reinforcement Learning for Sequential Object Localization

Shuicheng Yan, Jiashi Feng, Wen Feng Lu, 2016, NIPS.

Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images

Michael Kampffmeyer, Eric P. Xing, Xiaodan Liang, 2018, DLMIA/ML-CDS@MICCAI.

Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels pdf

Irina Voiculescu, Michael Kampffmeyer, Eric P. Xing, 2020, ArXiv.

SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation pdf

Yuan Li, Eric P. Xing, Hao Zhang, 2017, ArXiv.

Semantic Object Parsing with Local-Global Long Short-Term Memory

Shuicheng Yan, Liang Lin, Jiashi Feng, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Recurrent 3D Pose Sequence Machines

Hui Cheng, Liang Lin, Xiaodan Liang, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Neural Architecture Search for Adversarial Medical Image Segmentation

Eric P. Xing, Wei Dai, Min Xu, 2019, MICCAI.

Toward Characteristic-Preserving Image-based Virtual Try-On Network pdf

Liang Lin, Bochao Wang, Meng Yang, 2018, ECCV.

Linguistically Driven Graph Capsule Network for Visual Question Reasoning pdf

Xiaodan Liang, Qingxing Cao, Liang Lin, 2020, ArXiv.

Multistage Object Detection With Group Recursive Learning

Yunchao Wei, Shuicheng Yan, Tingfa Xu, 2018, IEEE Transactions on Multimedia.

A NSGA-II with ADMM Mutation for Solving Multi-objective Robust PCA Problem

Xiaodan Liang, Hanning Chen, Na Lin, 2015, BIC-TA.

Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis

Hanjiang Lai, Jian Yin, Jia Zhu, 2018, NeurIPS.

Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation

Eric P. Xing, Zhiting Hu, Xiaodan Liang, 2018, NeurIPS.

Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection

Yunchao Wei, Shuicheng Yan, Liang Lin, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Attentive Contexts for Object Detection

Jian Dong, Yunchao Wei, Shuicheng Yan, 2016, IEEE Transactions on Multimedia.

RCAA: Relational Context-Aware Agents for Person Search

Yi Yang, Xiaojun Chang, Yi-Dong Shen, 2018, ECCV.

Droplet property optimization in printable electronics fabrication using root system growth algorithm

Fang Liu, Xiaodan Liang, Yunlong Zhu, 2018, Comput. Ind. Eng..

Attention-Aware Face Hallucination via Deep Reinforcement Learning

Liang Lin, Xiaodan Liang, Qingxing Cao, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models

Jian-Huang Lai, Liang Lin, Yuanlu Xu, 2014, IEEE Transactions on Image Processing.

Bidirectional Graph Reasoning Network for Panoptic Segmentation

Ke Gong, Xiaodan Liang, Liang Lin, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing

Ke Gong, Xiaodan Liang, Liang Lin, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Adversarial Geometry-Aware Human Motion Prediction

José M. F. Moura, Xiaodan Liang, Liang-Yan Gui, 2018, ECCV.

Adaptive Temporal Encoding Network for Video Instance-level Human Parsing

Liang Lin, Xiaodan Liang, Ke Gong, 2018, ACM Multimedia.

Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification

Hang Xu, Xiaodan Liang, Zhenguo Li, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching pdf

Liang Lin, Xiaodan Liang, Guanbin Li, 2019, ICML.

Human Parsing with Contextualized Convolutional Neural Network

Shuicheng Yan, Jinhui Tang, Liang Lin, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deep Structured Scene Parsing by Learning with Image Descriptions

Rui Zhang, Ruimao Zhang, Liang Lin, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition pdf

Pan Zhou, Liang Lin, Xiaodan Liang, 2020, AAAI.

FW-GAN: Flow-Navigated Warping GAN for Video Virtual Try-On

Jian Yin, Xiaodan Liang, Bing-Cheng Chen, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Rethinking Knowledge Graph Propagation for Zero-Shot Learning

Hao Wang, Michael Kampffmeyer, Eric P. Xing, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A Data-Centric Framework for Composable NLP Workflows

Eric Xing, Zhiting Hu, Wei Wei, 2020, EMNLP.

SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays

Eric P. Xing, Hao Zhang, Xiaodan Liang, 2017, DLMIA/ML-CDS@MICCAI.

Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network pdf

Xiaodan Liang, Qingxing Cao, Liang Lin, 2019, ArXiv.

Soft Transfer Learning via Gradient Diagnosis for Visual Relationship Detection

Wen Gao, Xiaodan Liang, Yizhou Wang, 2019, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

Constraint Consensus Based Artificial Bee Colony Algorithm for Constrained Optimization Problems

Yuhan Wu, Xiaodan Liang, Hanning Chen, 2019 .

Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning

Hui Cheng, Liang Lin, Xiaodan Liang, 2016, ACM Multimedia.

Human Parsing with Contextualized Convolutional Neural Network

Shuicheng Yan, Jinhui Tang, Liang Lin, 2017, IEEE Trans. Pattern Anal. Mach. Intell..

Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach

Yao Zhao, Yunchao Wei, Shuicheng Yan, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

SP-NAS: Serial-to-Parallel Backbone Search for Object Detection

Wei Zhang, Hang Xu, Xiaodan Liang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Improving Deep Binary Embedding Networks by Order-Aware Reweighting of Triplets

Hanjiang Lai, Jian Yin, Xiaodan Liang, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

Dynamic-Structured Semantic Propagation Network

Eric P. Xing, Xiaodan Liang, Hongfei Zhou, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Towards Multi-Pose Guided Virtual Try-On Network

Hanjiang Lai, Jian Yin, Bochao Wang, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection

Abhinav Gupta, Yuan Yuan, Dit-Yan Yeung, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

ElixirNet: Relation-aware Network Architecture Adaptation for Medical Lesion Detection pdf

Nong Xiao, Hang Xu, Shaoju Wang, 2020, AAAI.

Structured Deep Learning for Pixel-level Understanding

Yunchao Wei, Liang Lin, Xiaodan Liang, 2018, ACM Multimedia.

Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption pdf

Eric P. Xing, Xiaodan Liang, Peilun Li, 2018, BMVC.

Dual Motion GAN for Future-Flow Embedded Video Prediction

Eric P. Xing, Xiaodan Liang, Wei Dai, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning

Xiaodan Liang, Xiaopeng Yan, Liang Lin, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

AutoLoss: Learning Discrete Schedules for Alternate Optimization pdf

Eric P. Xing, Zhiting Hu, Ruslan Salakhutdinov, 2018, ICLR 2018.

Grammatically Recognizing Images with Tree Convolution

Liang Lin, Guangcong Wang, Xiaodan Liang, 2020, KDD.

Dilated temporal relational adversarial network for generic video summarization

Michael Kampffmeyer, Eric P. Xing, Xiaodan Liang, 2018, Multimedia Tools and Applications.

Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching

Eric P. Xing, Min Xu, Xiaodan Liang, 2018, BMVC.

Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection

Eric P. Xing, Xiaodan Liang, Lisa Lee, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Erasure for Advancing: Dynamic Self-Supervised Learning for Commonsense Reasoning

Pan Zhou, Liang Lin, Xiaodan Liang, 2020 .

Query-Conditioned Three-Player Adversarial Network for Video Summarization pdf

Michael Kampffmeyer, Eric P. Xing, Min Tan, 2018, BMVC.

Interpretable Visual Question Answering by Reasoning on Dependency Trees

Liang Lin, Xiaodan Liang, Qingxing Cao, 2019, IEEE transactions on pattern analysis and machine intelligence.

Deep Human Parsing with Active Template Regression

Jian Dong, Shuicheng Yan, Si Liu, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Scale-Aware Pixelwise Object Proposal Networks

Francis Eng Hock Tay, Shuicheng Yan, Jiashi Feng, 2016, IEEE Transactions on Image Processing.

Scale-Aware Fast R-CNN for Pedestrian Detection

Shuicheng Yan, Tingfa Xu, Jiashi Feng, 2015, IEEE Transactions on Multimedia.

Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer

Liang Lin, Meng Wang, Xiaodan Liang, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Controllable Text Generation pdf

Eric P. Xing, Zhiting Hu, Ruslan Salakhutdinov, 2017, ArXiv.

Reversible Recursive Instance-Level Object Segmentation

Yunchao Wei, Shuicheng Yan, Liang Lin, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Artificial Bee Colony Optimizer Based on Bee Life-Cycle for Stationary and Dynamic Optimization

Min Huang, Xingwei Wang, Xiaodan Liang, 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Computational Baby Learning pdf

Yunchao Wei, Shuicheng Yan, Si Liu, 2014, ArXiv.

Unsupervised Real-to-Virtual Domain Unification for End-to-End Highway Driving pdf

Eric P. Xing, Xiaodan Liang, Luona Yang, 2018, ArXiv.

DTR-GAN: dilated temporal relational adversarial network for video summarization

Michael Kampffmeyer, Eric P. Xing, Xiaodan Liang, 2018, ACM TUR-C.

Root system growth biomimicry for global optimization models and emergent behaviors

Xu Li, Xiaodan Liang, Lianbo Ma, 2017, Soft Comput..

Geometric Generalization Based Zero-Shot Learning Dataset Infinite World: Simple Yet Powerful pdf

Michael Kampffmeyer, Eric P. Xing, Xiaodan Liang, 2018, ArXiv.

Perceptual Generative Adversarial Networks for Small Object Detection

Yunchao Wei, Shuicheng Yan, Tingfa Xu, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Multimedia data representation learning and applications

Xiaojun Chang, Xiaodan Liang, 2020, Multimedia Tools and Applications.

Learning latent spatio-temporal compositional model for human action recognition pdf

Liang Lin, Liangliang Cao, Xiaodan Liang, 2013, MM '13.

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation

Eric P. Xing, Zhiting Hu, Di Wang, 2019, ACL.

ZM-Net: Real-time Zero-shot Image Manipulation Network pdf

Eric P. Xing, Hao Zhang, Dit-Yan Yeung, 2017, ArXiv.

Iterative Graph Self-Distillation pdf

Pan Zhou, Eric P. Xing, Hanlin Zhang, 2020, ArXiv.

Matching-CNN meets KNN: Quasi-parametric human parsing

Changsheng Xu, Xiaochun Cao, Shuicheng Yan, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Optimal layout and deployment for RFID system using a novel hybrid artificial bee colony optimizer based on bee life-cycle model

Tao Zou, Xiaodan Liang, Lianbo Ma, 2017, Soft Comput..

AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning

Hao Zhang, Eric P. Xing, Lawrence Carin, 2020, NeurIPS.

Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks

Liang Lin, Xiaodan Liang, Ziliang Chen, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Fashion Editing with Multi-scale Attention Normalization pdf

Ziqi Zhang, Jian Yin, Bowen Wu, 2019, ArXiv.

Is Faster R-CNN Doing Well for Pedestrian Detection? pdf

Liang Lin, Kaiming He, Xiaodan Liang, 2016, ECCV.

ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation

Michael Kampffmeyer, Eric P. Xing, Xiaodan Liang, 2018, IEEE Transactions on Image Processing.

Configurable Graph Reasoning for Visual Relationship Detection

Xiaodan Liang, Qixiang Ye, Liang Lin, 2020, IEEE Transactions on Neural Networks and Learning Systems.

STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation

Yunchao Wei, Shuicheng Yan, Yao Zhao, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection

Xiaodan Liang, Zhenguo Li, Hang Xu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Fashion Parsing With Video Context

Ke Lu, Shuicheng Yan, Si Liu, 2014, IEEE Transactions on Multimedia.

Proposal-Free Network for Instance-Level Object Segmentation

Yunchao Wei, Shuicheng Yan, Liang Lin, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search

Hang Xu, Xiaodan Liang, Zhenguo Li, 2020, ECCV.

Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN

Hang Xu, Xiaodan Liang, Zhenguo Li, 2020, AAAI.

Learning to segment with image-level annotations

Yao Zhao, Yanhui Xiao, Yunchao Wei, 2016, Pattern Recognit..

Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters

Pengtao Xie, Eric P. Xing, Zhiting Hu, 2017, USENIX Annual Technical Conference.

Interpretable Structure-Evolving LSTM

Shuicheng Yan, Eric P. Xing, Liang Lin, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling

Zhen Li, Hui Cheng, Yizhou Yu, 2016, ECCV.

Recognizing Focal Liver Lesions in CEUS With Dynamically Trained Latent Structured Models

Yongtian Wang, Liang Lin, Xiaodan Liang, 2016, IEEE Transactions on Medical Imaging.

Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio pdf

Michael Kampffmeyer, Eric P. Xing, Xiaodan Liang, 2018, MICCAI.

Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp pdf

Weiwei Chen, Xiaodan Liang, Liang Lin, 2020, ArXiv.

A Modulation Module for Multi-task Learning with Applications in Image Retrieval

Ying Wu, Xiaodan Liang, Xiaohui Shen, 2018, ECCV.

Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation pdf

Yiming Gao, Hang Xu, Xiaodan Liang, 2020, AAAI.

Semantic Object Parsing with Graph LSTM

Shuicheng Yan, Liang Lin, Jiashi Feng, 2016, ECCV.

CP-GAN: Context Pyramid Generative Adversarial Network for Speech Enhancement

Gang Liu, Ke Gong, Xiaodan Liang, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Modified MOEAD with an Adaptive Weight Adjustment Strategy

Xiaodan Liang, Hanning Chen, Maowei He, 2019, 2019 International Conference on Intelligent Computing, Automation and Systems (ICICAS).

Deep Attribute-preserving Metric Learning for Natural Language Object Retrieval

Fang Zhao, Yunchao Wei, Tingfa Xu, 2017, ACM Multimedia.

Biomimicry of Plant Root Foraging for Distributed Optimization: Models and Emergent Behaviors

Xiaodan Liang, Hanning Chen, Maowei He, 2016, BIC-TA.

Adaptive Bacterial Foraging Algorithm and Its Application in Mobile Robot Path Planning

Xiaodan Liang, Hanning Chen, Maowei He, 2016, BIC-TA.

The Model Design and Simulation of Automatic Placement Path for the Shell of Composite Materials

Xiaodan Liang, 2011, 2011 Fourth International Symposium on Parallel Architectures, Algorithms and Programming.

Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems pdf

Xiaodan Liang, Liang Lin, Jinghui Qin, 2020, EMNLP.

Symbolic Graph Reasoning Meets Convolutions

Eric P. Xing, Zhiting Hu, Liang Lin, 2018, NeurIPS.

Reinforcement Cutting-Agent Learning for Video Object Segmentation

Xiaojun Chang, Junwei Han, Xiaodan Liang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Deep Generative Models with Learnable Knowledge Constraints

Eric Xing, Zhiting Hu, Ruslan Salakhutdinov, 2018, NeurIPS.

Recurrent Topic-Transition GAN for Visual Paragraph Generation

Chuang Gan, Eric P. Xing, Zhiting Hu, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

A modified surrogate-assisted multi-swarm artificial bee colony for complex numerical optimization problems

Xiaodan Liang, Hanning Chen, Maowei He, 2020, Microprocess. Microsystems.

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation pdf

Eric P. Xing, Zhiting Hu, Haoran Shi, 2018, ACL.

Heterogeneous Graph Learning for Visual Commonsense Reasoning

Nong Xiao, Xiaodan Liang, Weihao Yu, 2019, NeurIPS.

Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms

Eric P. Xing, Min Xu, Xiaodan Liang, 2017, Bioinform..

Multi-loss Regularized Deep Neural Network

Shuicheng Yan, Junbin Gao, Wei Zheng, 2016, IEEE Transactions on Circuits and Systems for Video Technology.

Fashion Parsing With Video Context

Xiaochun Cao, Ke Lu, Shuicheng Yan, 2015, IEEE Trans. Multim..

Lifecycle coevolution framework for many evolutionary and swarm intelligence algorithms fusion in solving complex optimization problems

Fang Liu, Xiaodan Liang, Lianbo Ma, 2017, Swarm Evol. Comput..

Clothes Co-Parsing Via Joint Image Segmentation and Labeling With Application to Clothing Retrieval

Shuicheng Yan, Wei Yang, Liang Lin, 2016, IEEE Transactions on Multimedia.

RGB-D Scene Labeling with Long Short-Term Memorized Fusion Model pdf

Zhen Li, Hui Cheng, Yizhou Yu, 2016, ArXiv.

Structured Generative Adversarial Networks

Eric P. Xing, Hao Zhang, Jun Zhu, 2017, NIPS.

Learning to Segment Human by Watching YouTube

Yunchao Wei, Shuicheng Yan, Liang Lin, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Peak-Piloted Deep Network for Facial Expression Recognition pdf

Shuicheng Yan, Nuno Vasconcelos, Xiaodan Liang, 2016, ECCV.

Toward Controlled Generation of Text

Eric P. Xing, Zhiting Hu, Ruslan Salakhutdinov, 2017, ICML.

End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis pdf

Liang Lin, Xiaodan Liang, Ke Gong, 2019, AAAI.

Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning

Eric P. Xing, Zhiting Hu, Prasoon Goyal, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Fashion Editing With Adversarial Parsing Learning

Xiaodan Liang, Yixuan Zhang, Xujie Zhang, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Generative Semantic Manipulation with Contrasting GAN pdf

Eric P. Xing, Hao Zhang, Xiaodan Liang, 2017, ArXiv.

UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers pdf

Xiaojun Chang, Fengda Zhu, Xiaodan Liang, 2021, ArXiv.

Teaching Robots to Predict Human Motion

José M. F. Moura, Kevin Zhang, Xiaodan Liang, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark

Liang Lin, Xiaodan Liang, Xiaohui Shen, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Generative Semantic Manipulation with Mask-Contrasting GAN

Eric P. Xing, Liang Lin, Hao Zhang, 2018, ECCV.

Target-Guided Open-Domain Conversation

Eric P. Xing, Zhiting Hu, Xiaodan Liang, 2019, ACL.

Geometric Scene Parsing with Hierarchical LSTM pdf

Ruimao Zhang, Liang Lin, Xiaobai Liu, 2016, IJCAI.

Graphonomy: Universal Human Parsing via Graph Transfer Learning

Meng Wang, Liang Lin, Xiaodan Liang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Adaptive Context-aware Reinforced Agent for Handwritten Text Recognition

Xiaojun Chang, Alexander G. Hauptmann, Xiaodan Liang, 2018, BMVC.

StepDeep: A Novel Spatial-temporal Mobility Event Prediction Framework based on Deep Neural Network

Weimin Zheng, Kathleen M. Carley, Xiaodan Liang, 2018, KDD.

Bio-inspired Algorithms for FPGA Implementation of RFID Base-Band Transmission Model & IP Core

Wu Jigang, Xiaodan Liang, Liangyu Li, 2013, 2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies.

Recognizing focal liver lesions in contrast-enhanced ultrasound with discriminatively trained spatio-temporal model

Liang Lin, Xiaodan Liang, Qingxing Cao, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Deep Learning Based Supervised Semantic Segmentation of Electron Cryo-Subtomograms

Eric P. Xing, Chang Liu, Min Xu, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection

Wei Zhang, Hang Xu, Xiaodan Liang, 2019, AAAI.

CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving pdf

Eric P. Xing, Xiaodan Liang, Luona Yang, 2018, ECCV.

Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search pdf

Peidong Liu, Zhenguo Li, Bochao Wang, 2021, ICLR.

UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers pdf

Xiaojun Chang, Fengda Zhu, Xiaodan Liang, 2021, ArXiv.

Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp

Liang Lin, Xiaodan Liang, Keze Wang, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).