Xiaodan Liang

发表

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

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

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

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

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.

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

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

Controllable Text Generation pdf

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

Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation

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

Neural Architecture Search for Adversarial Medical Image Segmentation

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

Attentive Contexts for Object Detection

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

Toward Controlled Generation of Text

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

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

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

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).

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

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

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.

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).

Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio pdf

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

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).

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).

Learning to Segment Human by Watching YouTube

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

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

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

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.

Vision Language Navigation with Multi-granularity Observation and Auxiliary Reasoning Tasks

Xiaodan Liang, Xiaojun Chang, Fengda Zhu, 2020 .

Encoder Decoder Conditioning motion Seed motion PredictionPredictor Groundtruth Real or Generated Discriminator Training : Inference : Encoder Decoder Predictor Predicted Motions Demonstration of Prediction Skeleton Generation Conditioning motion

José M. F. Moura, M. Veloso, Xiaodan Liang, 2018 .

Structured Generative Adversarial Networks 1

E. Xing, Shizhen Xu, Xiaodan Liang, 2017 .

Prototypical Graph Contrastive Learning pdf

Eric Xing, Liang Lin, Ruihui Zhao, 2021, ArXiv.

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

Pan Zhou, Liang Lin, Xiaodan Liang, 2020 .

Prototypical Graph Contrastive Learning

E. Xing, Xiaodan Liang, Pan Zhou, 2021, IEEE Transactions on Neural Networks and Learning Systems.

M3D-VTON: A Monocular-to-3D Virtual Try-On Network pdf

Michael Kampffmeyer, Xiaodan Liang, Tianxiang Zheng, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Structure-Preserving 3D Garment Modeling with Neural Sewing Machines

Philip H. S. Torr, Xiaodan Liang, Guangrun Wang, 2022, NeurIPS.

BodyGAN: General-purpose Controllable Neural Human Body Generation

Xiaodan Liang, Nianhong Jiao, Hanhui Li, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

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

FILIP: Fine-grained Interactive Language-Image Pre-Training pdf

Zhenguo Li, Minzhe Niu, Xiaodan Liang, 2021, ICLR.

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

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

Human Parsing with Contextualized Convolutional Neural Network

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

Semantic Object Parsing with Graph LSTM

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

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).

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).

Deep Human Parsing with Active Template Regression

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

Fashion Parsing With Video Context

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

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

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

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

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

Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-Modal Pretraining pdf

Xiao Dong, Xunlin Zhan, Yangxin Wu, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

M5Product: A Multi-modal Pretraining Benchmark for E-commercial Product Downstream Tasks pdf

Xiao Dong, Xunlin Zhan, Yangxin Wu, 2021, ArXiv.

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).

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

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

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.

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).

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.

Adaptive Temporal Encoding Network for Video Instance-level Human Parsing

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

Instance-level Human Parsing via Part Grouping Network pdf

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

BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search pdf

Xiaojun Chang, Jiefeng Peng, Xiaodan Liang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

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).

Target-Guided Open-Domain Conversation

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

M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining

Michael C. Kampffmeyer, Xiaodan Liang, Yunchao Wei, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

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

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

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

Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching pdf

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

Scale-Aware Fast R-CNN for Pedestrian Detection

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

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

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

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

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

Symbolic Graph Reasoning Meets Convolutions

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

Peak-Piloted Deep Network for Facial Expression Recognition pdf

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

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

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

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).

Constraint Consensus Based Artificial Bee Colony Algorithm for Constrained Optimization Problems

Yuhan Wu, Xiaodan Liang, Hanning Chen, 2019 .

Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models

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

Voxel Transformer for 3D Object Detection pdf

Minzhe Niu, Xiaodan Liang, Jiashi Feng, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

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

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

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).

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

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

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

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

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

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

Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition pdf

Liang Lin, Ke Gong, Xiaodan Liang, 2021, EMNLP.

Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning pdf

Song-Chun Zhu, Pan Lu, Ran Gong, 2021, ACL.

Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition pdf

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

One Million Scenes for Autonomous Driving: ONCE Dataset

Xiaodan Liang, Zhenguo Li, Wei Zhang, 2021, NeurIPS Datasets and Benchmarks.

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

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

TECTION VIA CONVERGENCE-SIMULATION DRIVEN SEARCH

Xiaodan Liang, Zhenguo Li, Hang Xu, 2021 .

SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving pdf

Kai Chen, Zhenguo Li, Hang Xu, 2021, ArXiv.

Adversarial Geometry-Aware Human Motion Prediction

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

Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection pdf

Minzhe Niu, Xiaodan Liang, Hang Xu, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Point-Guided Contrastive Learning for Monocular 3-D Object Detection

Xiaodan Liang, Hang Xu, Xiaojun Tan, 2021, IEEE Transactions on Cybernetics.

Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection

L. Gool, Xiaodan Liang, Zhenguo Li, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

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

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

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.

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

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

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

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

Proposal-Free Network for Instance-Level Object Segmentation

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

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.

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

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

Fashion Editing With Adversarial Parsing Learning

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

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).

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).

Recurrent Topic-Transition GAN for Visual Paragraph Generation

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

EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation

Xiaozhe Ren, Xiaodan Liang, Hang Xu, 2021, EMNLP.

Dynamic-Structured Semantic Propagation Network

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

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

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

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

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

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).

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).

Adaptive Context-aware Reinforced Agent for Handwritten Text Recognition

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

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).

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

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

GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning pdf

Eric P. Xing, Liang Lin, Jinghui Qin, 2021, FINDINGS.

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).

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).

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).

Towards Multi-Pose Guided Virtual Try-On Network

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

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.

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).

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

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

Modern Augmented Reality: Applications, Trends, and Future Directions

Shuicheng Yan, Xiaodan Liang, Shervin Minaee, 2022, ArXiv.

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).

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

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

Generative Semantic Manipulation with Mask-Contrasting GAN

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

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

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

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..

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).

WAS-VTON: Warping Architecture Search for Virtual Try-on Network

Xiaodan Liang, Zhenyu Xie, Fuwei Zhao, 2021, ACM Multimedia.

Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning

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

Heterogeneous Graph Learning for Visual Commonsense Reasoning

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

NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models pdf

Zhenguo Li, Gengwei Zhang, Xiaodan Liang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

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

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

A Data-Centric Framework for Composable NLP Workflows

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

Iterative Graph Self-Distillation

E. Xing, Xiaodan Liang, Pan Zhou, 2020, IEEE Transactions on Knowledge and Data Engineering.

Multi-loss Regularized Deep Neural Network

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

Computational Baby Learning pdf

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

Learning to segment with image-level annotations

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

Generative Semantic Manipulation with Contrasting GAN pdf

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

UPD E T: U NIVERSAL M ULTI - AGENT R EINFORCEMENT L EARNING VIA P OLICY D ECOUPLING WITH T RANS FORMERS

Xiaodan Liang, Xiaojun Chang, Fengda Zhu, 2020 .

Hybrid Knowledge Routed Modules for Large-scale Object Detection

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

Towards robust partially supervised multi-structure medical image segmentation on small-scale data

Irina Voiculescu, Michael Kampffmeyer, Eric P. Xing, 2020, Appl. Soft Comput..

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

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

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

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

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

Devendra Singh Sachan, E. Xing, Xiaodan Liang, 2018 .

Root system growth biomimicry for global optimization models and emergent behaviors

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

Deep Generative Models with Learnable Knowledge Constraints

R. Salakhutdinov, E. Xing, Xiaodan Liang, 2018, NeurIPS.

Grammatically Recognizing Images with Tree Convolution

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

Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer

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

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).

Recurrent 3D Pose Sequence Machines

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

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

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

LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts

Xiaodan Liang, Guangrun Wang, Binbin Yang, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

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

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

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).

AutoLoss: Learning Discrete Schedules for Alternate Optimization pdf

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

Dilated temporal relational adversarial network for generic video summarization

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

UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model pdf

Nianhong Jiao, Xiaodan Liang, Tianxiang Zheng, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos

Michael C. Kampffmeyer, Xiaodan Liang, Dong Huang, 2023, arXiv.org.

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

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

Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN pdf

Michael Kampffmeyer, Xiaodan Liang, Zhenyu Xie, 2021, NeurIPS.

CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation

Xiaodan Liang, Yunchao Wei, Yao Zhao, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

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).

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

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

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

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

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..

Tree-Structured Reinforcement Learning for Sequential Object Localization

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

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.

Iterative Graph Self-Distillation

E. Xing, Xiaodan Liang, Pan Zhou, 2020, IEEE Transactions on Knowledge and Data Engineering.

Perceptual Generative Adversarial Networks for Small Object Detection

Shuicheng Yan, Xiaodan Liang, Jianan Li, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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

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