Xiaodan Liang

According to our database, Xiaodan Liang authored at least 356 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions.

Guangrun Wang, Changlin Li, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian, Xiaodan Liang, Xiaojun Chang, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Iterative Graph Self-Distillation.

Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing

IEEE Trans. Knowl. Data Eng., March, 2024

Prototypical Graph Contrastive Learning.

Shuai Lin, Chen Liu, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Multi-scale adaptive networks for efficient inference.

Linfeng Li, Weixing Su, Fang Liu, Maowei He, Xiaodan Liang

Int. J. Mach. Learn. Cybern., February, 2024

LayerDiff: Exploring Text-guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model.

Runhui Huang, Kaixin Cai, Jianhua Han, Xiaodan Liang, Renjing Pei, Guansong Lu, Songcen Xu, Wei Zhang, Hang Xu

CoRR, 2024

DialogGen: Multi-modal Interactive Dialogue System for Multi-turn Text-to-Image Generation.

Minbin Huang, Yanxin Long, Xinchi Deng, Ruihang Chu, Jiangfeng Xiong, Xiaodan Liang, Hong Cheng, Qinglin Lu, Wei Liu

CoRR, 2024

Language-Driven Visual Consensus for Zero-Shot Semantic Segmentation.

Zicheng Zhang, Tong Zhang, Yi Zhu, Jianzhuang Liu, Xiaodan Liang, Qixiang Ye, Wei Ke

CoRR, 2024

NavCoT: Boosting LLM-Based Vision-and-Language Navigation via Learning Disentangled Reasoning.

Bingqian Lin, Yunshuang Nie, Ziming Wei, Jiaqi Chen, Shikui Ma, Jianhua Han, Hang Xu, Xiaojun Chang, Xiaodan Liang

CoRR, 2024

AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis.

Tao Tang, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang

CoRR, 2024

MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data.

Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin, Haiming Wang, Zhenguo Li, Linqi Song, Xiaodan Liang

CoRR, 2024

MapGPT: Map-Guided Prompting for Unified Vision-and-Language Navigation.

Jiaqi Chen, Bingqian Lin, Ran Xu, Zhenhua Chai, Xiaodan Liang, Kwan-Yee K. Wong

CoRR, 2024

Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models.

Xinpeng Ding, Jianhua Han, Hang Xu, Xiaodan Liang, Wei Zhang, Xiaomeng Li

CoRR, 2024

Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model.

Zhenyu Xie, Yang Wu, Xuehao Gao, Zhongqian Sun, Wei Yang, Xiaodan Liang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping.

Luoyang Lin, Zutao Jiang, Xiaodan Liang, Liqian Ma, Michael C. Kampffmeyer, Xiaochun Cao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Monocular 3D Hand Mesh Recovery via Dual Noise Estimation.

Hanhui Li, Xiaojian Lin, Xuan Huang, Zejun Yang, Zhisheng Wang, Xiaodan Liang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

3D Visibility-Aware Generalizable Neural Radiance Fields for Interacting Hands.

Xuan Huang, Hanhui Li, Zejun Yang, Zhisheng Wang, Xiaodan Liang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Construction and effect evaluation of prediction model for red blood cell transfusion requirement in cesarean section based on artificial intelligence.

Hang Chen, Bowei Cao, Jiangcun Yang, He Ren, Xingqiu Xia, Xiaowen Zhang, Wei Yan, Xiaodan Liang, Chen Li

BMC Medical Informatics Decis. Mak., December, 2023

Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Diagnosis.

Junfan Lin, Keze Wang, Ziliang Chen, Xiaodan Liang, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Entity-Graph Enhanced Cross-Modal Pretraining for Instance-Level Product Retrieval.

Xiao Dong, Xunlin Zhan, Yunchao Wei, Xiaoyong Wei, Yaowei Wang, Minlong Lu, Xiaochun Cao, Xiaodan Liang

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning.

Bingqian Lin, Yanxin Long, Yi Zhu, Fengda Zhu, Xiaodan Liang, Qixiang Ye, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Discourse-Aware Graph Networks for Textual Logical Reasoning.

Yinya Huang, Lemao Liu, Kun Xu, Meng Fang, Liang Lin, Xiaodan Liang

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Knowledge Fusion Distillation: Improving Distillation with Multi-scale Attention Mechanisms.

Linfeng Li, Weixing Su, Fang Liu, Maowei He, Xiaodan Liang

Neural Process. Lett., October, 2023

DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Vision Transformers.

Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Dynamic Support Network for Few-Shot Class Incremental Learning.

Boyu Yang, Mingbao Lin, Yunxiao Zhang, Binghao Liu, Xiaodan Liang, Rongrong Ji, Qixiang Ye

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Auxiliary signal-guided knowledge encoder-decoder for medical report generation.

Mingjie Li, Rui Liu, Fuyu Wang, Xiaojun Chang, Xiaodan Liang

World Wide Web (WWW), January, 2023

Caption-Aided Product Detection via Collaborative Pseudo-Label Harmonization.

Xiao Dong, Gengwei Zhang, Xunlin Zhan, Yi Ding, Yunchao Wei, Minlong Lu, Xiaodan Liang

IEEE Trans. Multim., 2023

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

Dapeng Feng, Songfang Han, Hang Xu, Xiaodan Liang, Xiaojun Tan

IEEE Trans. Cybern., 2023

Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model.

Zhenyu Xie, Yang Wu, Xuehao Gao, Zhongqian Sun, Wei Yang, Xiaodan Liang

CoRR, 2023

WarpDiffusion: Efficient Diffusion Model for High-Fidelity Virtual Try-on.

Xujie Zhang, Xiu Li, Michael Kampffmeyer, Xin Dong, Zhenyu Xie, Feida Zhu, Haoye Dong, Xiaodan Liang

CoRR, 2023

DreamVideo: High-Fidelity Image-to-Video Generation with Image Retention and Text Guidance.

Cong Wang, Jiaxi Gu, Panwen Hu, Songcen Xu, Hang Xu, Xiaodan Liang

CoRR, 2023

CLOMO: Counterfactual Logical Modification with Large Language Models.

Yinya Huang, Ruixin Hong, Hongming Zhang, Wei Shao, Zhicheng Yang, Dong Yu, Changshui Zhang, Xiaodan Liang, Linqi Song

CoRR, 2023

Speak Like a Native: Prompting Large Language Models in a Native Style.

Zhicheng Yang, Yiwei Wang, Yinya Huang, Jing Xiong, Xiaodan Liang, Jing Tang

CoRR, 2023

RIO: A Benchmark for Reasoning Intention-Oriented Objects in Open Environments.

Mengxue Qu, Yu Wu, Wu Liu, Xiaodan Liang, Jingkuan Song, Yao Zhao, Yunchao Wei

CoRR, 2023

DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning.

Jing Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo, Yichun Yin, Enze Xie, Zhicheng Yang, Qingxing Cao, Haiming Wang, Xiongwei Han, Jing Tang, Chengming Li, Xiaodan Liang

CoRR, 2023

LEGO-Prover: Neural Theorem Proving with Growing Libraries.

Haiming Wang, Huajian Xin, Chuanyang Zheng, Lin Li, Zhengying Liu, Qingxing Cao, Yinya Huang, Jing Xiong, Han Shi, Enze Xie, Jian Yin, Zhenguo Li, Heng Liao, Xiaodan Liang

CoRR, 2023

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images.

Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li, Zongben Xu, Songcen Xu, Wei Zhang, Hang Xu

CoRR, 2023

GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training.

Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James T. Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang

CoRR, 2023

DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability.

Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu

CoRR, 2023

Fashion Matrix: Editing Photos by Just Talking.

Zheng Chong, Xujie Zhang, Fuwei Zhao, Zhenyu Xie, Xiaodan Liang

CoRR, 2023

RM-PRT: Realistic Robotic Manipulation Simulator and Benchmark with Progressive Reasoning Tasks.

Pengzhen Ren, Kaidong Zhang, Hetao Zheng, Zixuan Li, Yuhang Wen, Fengda Zhu, Mas Ma, Xiaodan Liang

CoRR, 2023

MO-VLN: A Multi-Task Benchmark for Open-set Zero-Shot Vision-and-Language Navigation.

Xiwen Liang, Liang Ma, Shanshan Guo, Jianhua Han, Hang Xu, Shikui Ma, Xiaodan Liang

CoRR, 2023

UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning.

Xiao Dong, Runhui Huang, Xiaoyong Wei, Zequn Jie, Jianxing Yu, Jian Yin, Xiaodan Liang

CoRR, 2023

Boosting Text-to-Image Diffusion Models with Fine-Grained Semantic Rewards.

Guian Fang, Zutao Jiang, Jianhua Han, Guansong Lu, Hang Xu, Xiaodan Liang

CoRR, 2023

Boosting Visual-Language Models by Exploiting Hard Samples.

Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li

CoRR, 2023

Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining.

Bingqian Lin, Zicong Chen, Mingjie Li, Haokun Lin, Hang Xu, Yi Zhu, Jianzhuang Liu, Wenjia Cai, Lei Yang, Shen Zhao, Chenfei Wu, Ling Chen, Xiaojun Chang, Yi Yang, Lei Xing, Xiaodan Liang

CoRR, 2023

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields.

Tang Tao, Longfei Gao, Guangrun Wang, Peng Chen, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu

CoRR, 2023

Applications of Strongly Regular Cayley Graphs to Codebooks.

Qiuyan Wang, Xiaodan Liang, Rize Jin, Yang Yan

IEEE Access, 2023

RecFormer: Recurrent Multi-modal Transformer with History-Aware Contrastive Learning for Visual Dialog.

Liucun Lu, Jinghui Qin, Zequn Jie, Lin Ma, Liang Lin, Xiaodan Liang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

RIO: A Benchmark for Reasoning Intention-Oriented Objects in Open Environments.

Mengxue Qu, Yu Wu, Wu Liu, Xiaodan Liang, Jingkuan Song, Yao Zhao, Yunchao Wei

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Vision Language Navigation with Knowledge-driven Environmental Dreamer.

Fengda Zhu, Vincent CS Lee, Xiaojun Chang, Xiaodan Liang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency.

Pengzhen Ren, Changlin Li, Hang Xu, Yi Zhu, Guangrun Wang, Jianzhuang Liu, Xiaojun Chang, Xiaodan Liang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning.

Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Hongguang Zhu, Yunchao Wei, Xiaodan Liang, Chunjie Zhang, Yao Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment.

Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images.

Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li, Zongben Xu, Songcen Xu, Wei Zhang, Hang Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts.

Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael C. Kampffmeyer, Liang Lin, Xiaodan Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration.

Zhijian Huang, Sihao Lin, Guiyu Liu, Mukun Luo, Chaoqiang Ye, Hang Xu, Xiaojun Chang, Xiaodan Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability.

Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training.

Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James T. Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation.

Kaixin Cai, Pengzhen Ren, Yi Zhu, Hang Xu, Jianzhuang Liu, Changlin Li, Guangrun Wang, Xiaodan Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models.

Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Composable Text Controls in Latent Space with ODEs.

Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CLIP²: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data.

Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection.

Kaicheng Yu, Tang Tao, Hongwei Xie, Zhiwei Lin, Tingting Liang, Bing Wang, Peng Chen, Dayang Hao, Yongtao Wang, Xiaodan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment.

Lewei Yao, Jianhua Han, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Hang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning.

Zhenyu Xie, Zaiyu Huang, Xin Dong, Fuwei Zhao, Haoye Dong, Xijin Zhang, Feida Zhu, Xiaodan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning to Segment Every Referring Object Point by Point.

Mengxue Qu, Yu Wu, Yunchao Wei, Wu Liu, Xiaodan Liang, Yao Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CapDet: Unifying Dense Captioning and Open-World Detection Pretraining.

Yanxin Long, Youpeng Wen, Jianhua Han, Hang Xu, Pengzhen Ren, Wei Zhang, Shen Zhao, Xiaodan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving.

Xiwen Liang, Minzhe Niu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation.

Mingjie Li, Bingqian Lin, Zicong Chen, Haokun Lin, Xiaodan Liang, Xiaojun Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function.

Haiming Wang, Ye Yuan, Zhengying Liu, Jianhao Shen, Yichun Yin, Jing Xiong, Enze Xie, Han Shi, Yujun Li, Lin Li, Jian Yin, Zhenguo Li, Xiaodan Liang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation.

Bingqian Lin, Yi Zhu, Xiaodan Liang, Liang Lin, Jianzhuang Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation.

Zutao Jiang, Guansong Lu, Xiaodan Liang, Jihua Zhu, Wei Zhang, Xiaojun Chang, Hang Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

NLIP: Noise-Robust Language-Image Pre-training.

Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Configurable Graph Reasoning for Visual Relationship Detection.

Yi Zhu, Xiwen Liang, Bingqian Lin, Qixiang Ye, Jianbin Jiao, Liang Lin, Xiaodan Liang

IEEE Trans. Neural Networks Learn. Syst., 2022

Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding.

Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin

IEEE Trans. Neural Networks Learn. Syst., 2022

Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition.

Fuyu Wang, Xiaodan Liang, Lin Xu, Liang Lin

IEEE Trans. Cybern., 2022

Atom correlation based graph propagation for scene graph generation.

Bingqian Lin, Yi Zhu, Xiaodan Liang

Pattern Recognit., 2022

Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation.

Bingqian Lin, Yi Zhu, Yanxin Long, Xiaodan Liang, Qixiang Ye, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer.

Liang Lin, Yiming Gao, Ke Gong, Meng Wang, Xiaodan Liang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

A Modified Whale Optimization Algorithm and Its Application in Seismic Inversion Problem.

Xiaodan Liang, Siwen Xu, Yang Liu, Liling Sun

Mob. Inf. Syst., 2022

elBERto: Self-supervised commonsense learning for question answering.

Xunlin Zhan, Yuan Li, Xiao Dong, Xiaodan Liang, Zhiting Hu, Lawrence Carin

Knowl. Based Syst., 2022

PathReasoner: Explainable reasoning paths for commonsense question answering.

Xunlin Zhan, Yinya Huang, Xiao Dong, Qingxing Cao, Xiaodan Liang

Knowl. Based Syst., 2022

P³OVD: Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection.

Yanxin Long, Jianhua Han, Runhui Huang, Xu Hang, Yi Zhu, Chunjing Xu, Xiaodan Liang

CoRR, 2022

MARLlib: Extending RLlib for Multi-agent Reinforcement Learning.

Siyi Hu, Yifan Zhong, Minquan Gao, Weixun Wang, Hao Dong, Zhihui Li, Xiaodan Liang, Xiaojun Chang, Yaodong Yang

CoRR, 2022

Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers.

Tao Tang, Changlin Li, Guangrun Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang

CoRR, 2022

Composable Text Control Operations in Latent Space with Ordinary Differential Equations.

Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu

CoRR, 2022

PASTA-GAN++: A Versatile Framework for High-Resolution Unpaired Virtual Try-on.

Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong, Michael Kampffmeyer, Xin Dong, Feida Zhu, Xiaodan Liang

CoRR, 2022

Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection.

Kaicheng Yu, Tao Tang, Hongwei Xie, Zhiwei Lin, Zhongwei Wu, Zhongyu Xia, Tingting Liang, Haiyang Sun, Jiong Deng, Dayang Hao, Yongtao Wang, Xiaodan Liang, Bing Wang

CoRR, 2022

ZeroGen⁺: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning.

Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong

CoRR, 2022

Modern Augmented Reality: Applications, Trends, and Future Directions.

Shervin Minaee, Xiaodan Liang, Shuicheng Yan

CoRR, 2022

Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework.

Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Minzhe Niu, Hang Xu, Xiaodan Liang, Wei Zhang, Xin Jiang, Chunjing Xu

CoRR, 2022

Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillation.

Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Xiaodan Liang

CoRR, 2022

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

Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing

Appl. Soft Comput., 2022

AI on the edge: a comprehensive review.

Weixing Su, Linfeng Li, Fang Liu, Maowei He, Xiaodan Liang

Artif. Intell. Rev., 2022

MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation.

Wenge Liu, Jianheng Tang, Yi Cheng, Wenjie Li, Yefeng Zheng, Xiaodan Liang

Proceedings of the Natural Language Processing and Chinese Computing, 2022

CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation.

Zicheng Zhang, Yi Zhu, Jianzhuang Liu, Xiaodan Liang, Wei Ke

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection.

Lewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Chunjing Xu, Hang Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving.

Xiwen Liang, Yangxin Wu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning.

Zaiyu Huang, Hanhui Li, Zhenyu Xie, Michael Kampffmeyer, Qingling Cai, Xiaodan Liang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark.

Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Niu Minzhe, Xiaodan Liang, Lewei Yao, Runhui Huang, Wei Zhang, Xin Jiang, Chunjing Xu, Hang Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Structure-Preserving 3D Garment Modeling with Neural Sewing Machines.

Xipeng Chen, Guangrun Wang, Dizhong Zhu, Xiaodan Liang, Philip H. S. Torr, Liang Lin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Unbiased Math Word Problems Benchmark for Mitigating Solving Bias.

Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Xiaodan Liang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation.

Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Junwei Bao, Zhen Li, Xiaodong He, Shuguang Cui, Zhiting Hu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design.

Xujie Zhang, Yu Sha, Michael C. Kampffmeyer, Zhenyu Xie, Zequn Jie, Chengwen Huang, Jianqing Peng, Xiaodan Liang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

"My nose is running." "Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics.

Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL.

Siyi Hu, Chuanlong Xie, Xiaodan Liang, Xiaojun Chang

Proceedings of the International Conference on Machine Learning, 2022

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

Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Revisiting Over-smoothing in BERT from the Perspective of Graph.

Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok

Proceedings of the Tenth International Conference on Learning Representations, 2022

LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning.

Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Liang Lin, Xiaodan Liang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure.

Yinya Huang, Hongming Zhang, Ruixin Hong, Xiaodan Liang, Changshui Zhang, Dong Yu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning.

Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression.

Jiaqi Chen, Tong Li, Jinghui Qin, Pan Lu, Liang Lin, Chongyu Chen, Xiaodan Liang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

RelCLIP: Adapting Language-Image Pretraining for Visual Relationship Detection via Relational Contrastive Learning.

Yi Zhu, Zhaoqing Zhu, Bingqian Lin, Xiaodan Liang, Feng Zhao, Jianzhuang Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SiRi: A Simple Selective Retraining Mechanism for Transformer-Based Visual Grounding.

Mengxue Qu, Yu Wu, Wu Liu, Qiqi Gong, Xiaodan Liang, Olga Russakovsky, Yao Zhao, Yunchao Wei

Proceedings of the Computer Vision - ECCV 2022, 2022

Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding.

Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang

Proceedings of the Computer Vision - ECCV 2022, 2022

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving.

Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu

Proceedings of the Computer Vision - ECCV 2022, 2022

BodyGAN: General-purpose Controllable Neural Human Body Generation.

Chaojie Yang, Hanhui Li, Shengjie Wu, Shengkai Zhang, Haonan Yan, Nianhong Jiao, Jie Tang, Runnan Zhou, Xiaodan Liang, Tianxiang Zheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism.

Binbin Yang, Xinchi Deng, Han Shi, Changlin Li, Gengwei Zhang, Hang Xu, Shen Zhao, Liang Lin, Xiaodan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Beyond Fixation: Dynamic Window Visual Transformer.

Pengzhen Ren, Changlin Li, Guangrun Wang, Yun Xiao, Qing Du, Xiaodan Liang, Xiaojun Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Knowledge Distillation via the Target-aware Transformer.

Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts.

Bingqian Lin, Yi Zhu, Zicong Chen, Xiwen Liang, Jianzhuang Liu, Xiaodan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Automated Progressive Learning for Efficient Training of Vision Transformers.

Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation.

Mingjie Li, Wenjia Cai, Karin Verspoor, Shirui Pan, Xiaodan Liang, Xiaojun Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search.

Minbin Huang, Zhijian Huang, Changlin Li, Xin Chen, Hang Xu, Zhenguo Li, Xiaodan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dressing in the Wild by Watching Dance Videos.

Xin Dong, Fuwei Zhao, Zhenyu Xie, Xijin Zhang, Daniel K. Du, Min Zheng, Xiang Long, Xiaodan Liang, Jianchao Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Xiao Dong, Xunlin Zhan, Yangxin Wu, Yunchao Wei, Michael C. Kampffmeyer, Xiaoyong Wei, Minlong Lu, Yaowei Wang, Xiaodan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Visual-Language Navigation Pretraining via Prompt-based Environmental Self-exploration.

Xiwen Liang, Fengda Zhu, Lingling Li, Hang Xu, Xiaodan Liang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Contrastive Instruction-Trajectory Learning for Vision-Language Navigation.

Xiwen Liang, Fengda Zhu, Yi Zhu, Bingqian Lin, Bing Wang, Xiaodan Liang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Laneformer: Object-Aware Row-Column Transformers for Lane Detection.

Jianhua Han, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, Xiaodan Liang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

AutoBERT-Zero: Evolving BERT Backbone from Scratch.

Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Graph Reasoning Networks and Applications.

Qingxing Cao, Wentao Wan, Xiaodan Liang, Liang Lin

Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning.

Guangyi Liu, Yinghong Liao, Fuyu Wang, Bin Zhang, Lu Zhang, Xiaodan Liang, Xiang Wan, Shaolin Li, Zhen Li, Shuixing Zhang, Shuguang Cui

IEEE Trans. Neural Networks Learn. Syst., 2021

GTAE: Graph Transformer-Based Auto-Encoders for Linguistic-Constrained Text Style Transfer.

Yukai Shi, Sen Zhang, Chenxing Zhou, Xiaodan Liang, Xiaojun Yang, Liang Lin

ACM Trans. Intell. Syst. Technol., 2021

Image Comes Dancing With Collaborative Parsing-Flow Video Synthesis.

Bowen Wu, Zhenyu Xie, Xiaodan Liang, Yubei Xiao, Haoye Dong, Liang Lin

IEEE Trans. Image Process., 2021

Interpretable Visual Question Answering by Reasoning on Dependency Trees.

Qingxing Cao, Xiaodan Liang, Bailin Li, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Heterogeneous graph reasoning for knowledge-grounded medical dialogue system.

Wenge Liu, Jianheng Tang, Xiaodan Liang, Qingling Cai

Neurocomputing, 2021

Heterogeneous Excitation-and-Squeeze Network for visual dialog.

Bingqian Lin, Yi Zhu, Xiaodan Liang

Neurocomputing, 2021

IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning.

Pan Lu, Liang Qiu, Jiaqi Chen, Tony Xia, Yizhou Zhao, Wei Zhang, Zhou Yu, Xiaodan Liang, Song-Chun Zhu

CoRR, 2021

DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers.

Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang

CoRR, 2021

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

Xiao Dong, Xunlin Zhan, Yangxin Wu, Yunchao Wei, Xiaoyong Wei, Minlong Lu, Xiaodan Liang

CoRR, 2021

Deep Learning for Embodied Vision Navigation: A Survey.

Fengda Zhu, Yi Zhu, Xiaodan Liang, Xiaojun Chang

CoRR, 2021

Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation.

Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Zhen Li, Bowen Zhou, Shuguang Cui, Zhiting Hu

CoRR, 2021

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

Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu

CoRR, 2021

One Million Scenes for Autonomous Driving: ONCE Dataset.

Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu, Chunjing Xu

CoRR, 2021

Prototypical Graph Contrastive Learning.

Shuai Lin, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang

CoRR, 2021

Vision-Language Navigation with Random Environmental Mixup.

Chong Liu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang, Yi-Dong Shen

CoRR, 2021

SOON: Scenario Oriented Object Navigation with Graph-based Exploration.

Fengda Zhu, Xiwen Liang, Yi Zhu, Xiaojun Chang, Xiaodan Liang

CoRR, 2021

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

Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang

CoRR, 2021

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

Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong, Michael Kampffmeyer, Xiaodan Liang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

One Million Scenes for Autonomous Driving: ONCE Dataset.

Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Jingheng Chen, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Chunjing Xu, Hang Xu

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning.

Pan Lu, Liang Qiu, Jiaqi Chen, Tanglin Xia, Yizhou Zhao, Wei Zhang, Zhou Yu, Xiaodan Liang, Song-Chun Zhu

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark.

Mingjie Li, Wenjia Cai, Rui Liu, Yuetian Weng, Xiaoyun Zhao, Cong Wang, Xin Chen, Zhong Liu, Caineng Pan, Mengke Li, Yingfeng Zheng, Yizhi Liu, Flora D. Salim, Karin Verspoor, Xiaodan Liang, Xiaojun Chang

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving.

Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Jiageng Mao, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

DAGN: Discourse-Aware Graph Network for Logical Reasoning.

Yinya Huang, Meng Fang, Yu Cao, Liwei Wang, Xiaodan Liang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

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

Zhenyu Xie, Xujie Zhang, Fuwei Zhao, Haoye Dong, Michael C. Kampffmeyer, Haonan Yan, Xiaodan Liang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

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

Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

SparseBERT: Rethinking the Importance Analysis in Self-attention.

Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James Tin-Yau Kwok

Proceedings of the 38th International Conference on Machine Learning, 2021

Unifying Dynamic Optimizer Search and Network Architecture Search.

Binbin Yang, Xiaodan Liang, Junhao Zhong, Jiefeng Peng, Guangrun Wang, Liang Lin

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Transformer Based Multi-Agent Framework.

Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang

Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

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

Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li

Proceedings of the 9th International Conference on Learning Representations, 2021

UPDeT: Universal Multi-agent RL via Policy Decoupling with Transformers.

Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang

Proceedings of the 9th International Conference on Learning Representations, 2021

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

Fuwei Zhao, Zhenyu Xie, Michael Kampffmeyer, Haoye Dong, Songfang Han, Tianxiang Zheng, Tao Zhang, Xiaodan Liang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Xunlin Zhan, Yangxin Wu, Xiao Dong, Yunchao Wei, Minlong Lu, Yichi Zhang, Hang Xu, Xiaodan Liang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Haonan Yan, Jiaqi Chen, Xujie Zhang, Shengkai Zhang, Nianhong Jiao, Xiaodan Liang, Tianxiang Zheng

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift.

Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Voxel Transformer for 3D Object Detection.

Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Exploring Inter-Channel Correlation for Diversity-preserved Knowledge Distillation.

Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Xiaodan Liang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Hanxue Liang, Chenhan Jiang, Dapeng Feng, Xin Chen, Hang Xu, Xiaodan Liang, Wei Zhang, Zhenguo Li, Luc Van Gool

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering.

Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Self-Motivated Communication Agent for Real-World Vision-Dialog Navigation.

Yi Zhu, Yue Weng, Fengda Zhu, Xiaodan Liang, Qixiang Ye, Yutong Lu, Jianbin Jiao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Vision-Language Navigation with Random Environmental Mixup.

Chong Liu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang, Zongyuan Ge, Yi-Dong Shen

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Guolin Zheng, Yubei Xiao, Ke Gong, Pan Zhou, Xiaodan Liang, Liang Lin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

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

Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

SOON: Scenario Oriented Object Navigation With Graph-Based Exploration.

Fengda Zhu, Xiwen Liang, Yi Zhu, Qizhi Yu, Xiaojun Chang, Xiaodan Liang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Dynamic Slimmable Network.

Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search.

Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Multiple Adaptive Strategies-based Rat Swarm Optimizer.

Ziyue Xu, Xiaodan Liang, Maowei He, Hanning Chen

Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

Towards Quantifiable Dialogue Coherence Evaluation.

Zheng Ye, Liucun Lu, Lishan Huang, Liang Lin, Xiaodan Liang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks.

Jinghui Qin, Xiaodan Liang, Yining Hong, Jianheng Tang, Liang Lin

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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

Pan Lu, Ran Gong, Shibiao Jiang, Liang Qiu, Siyuan Huang, Xiaodan Liang, Song-Chun Zhu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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

Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

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

Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition.

Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation.

Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement.

Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

Hanjiang Lai, Jikai Chen, Libing Geng, Yan Pan, Xiaodan Liang, Jian Yin

IEEE Trans. Circuits Syst. Video Technol., 2020

Unsupervised object-level video summarization with online motion auto-encoder.

Yujia Zhang, Xiaodan Liang, Dingwen Zhang, Min Tan, Eric P. Xing

Pattern Recognit. Lett., 2020

Guest editorial: Image/video understanding and analysis.

Xiaojun Chang, Xiaodan Liang, Yan Yan, Liqiang Nie

Pattern Recognit. Lett., 2020

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

Liling Sun, Wendi Sun, Xiaodan Liang, Maowei He, Hanning Chen

Microprocess. Microsystems, 2020

REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement.

Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang, Liang Lin

CoRR, 2020

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

Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing

CoRR, 2020

MedDG: A Large-scale Medical Consultation Dataset for Building Medical Dialogue System.

Wenge Liu, Jianheng Tang, Jinghui Qin, Lin Xu, Zhen Li, Xiaodan Liang

CoRR, 2020

Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation.

Mingjie Li, Fuyu Wang, Xiaojun Chang, Xiaodan Liang

CoRR, 2020

Linguistically Driven Graph Capsule Network for Visual Question Reasoning.

Qingxing Cao, Xiaodan Liang, Keze Wang, Liang Lin

CoRR, 2020

Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis.

Junfan Lin, Ziliang Chen, Xiaodan Liang, Keze Wang, Liang Lin

CoRR, 2020

Towards Interpretable Natural Language Understanding with Explanations as Latent Variables.

Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Yangxin Wu, Gengwei Zhang, Hang Xu, Xiaodan Liang, Liang Lin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Hao Zhang, Yuan Li, Zhijie Deng, Xiaodan Liang, Lawrence Carin, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Grammatically Recognizing Images with Tree Convolution.

Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

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

Gang Liu, Ke Gong, Xiaodan Liang, Zhiguang Chen

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

Jinghui Qin, Lihui Lin, Xiaodan Liang, Rumin Zhang, Liang Lin

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Data-Centric Framework for Composable NLP Workflows.

Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Record-to-Text Generation with Style Imitation.

Shuai Lin, Wentao Wang, Zichao Yang, Xiaodan Liang, Frank F. Xu, Eric P. Xing, Zhiting Hu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems.

Lishan Huang, Zheng Ye, Jinghui Qin, Liang Lin, Xiaodan Liang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Proceedings of the Computer Vision - ECCV 2020, 2020

Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks.

Fengda Zhu, Yi Zhu, Xiaojun Chang, Xiaodan Liang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Bidirectional Graph Reasoning Network for Panoptic Segmentation.

Yangxin Wu, Gengwei Zhang, Yiming Gao, Xiajun Deng, Ke Gong, Xiaodan Liang, Liang Lin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation.

Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Chenhan Jiang, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Fashion Editing With Adversarial Parsing Learning.

Haoye Dong, Xiaodan Liang, Yixuan Zhang, Xujie Zhang, Xiaohui Shen, Zhenyu Xie, Bowen Wu, Jian Yin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Vision-Dialog Navigation by Exploring Cross-Modal Memory.

Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Lewei Yao, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

Hang Xu, Linpu Fang, Xiaodan Liang, Wenxiong Kang, Zhenguo Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Dynamic Knowledge Routing Network for Target-Guided Open-Domain Conversation.

Jinghui Qin, Zheng Ye, Jianheng Tang, Xiaodan Liang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

ElixirNet: Relation-Aware Network Architecture Adaptation for Medical Lesion Detection.

Chenhan Jiang, Shaoju Wang, Xiaodan Liang, Hang Xu, Nong Xiao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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

Michael Kampffmeyer, Nanqing Dong, Xiaodan Liang, Yujia Zhang, Eric P. Xing

IEEE Trans. Image Process., 2019

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

Maowei He, Yabao Hu, Hanning Chen, Liling Sun, Xiaoxuan Wang, Weixing Su, Fang Liu, Xiaodan Liang, Lianbo Ma

Swarm Evol. Comput., 2019

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

Xiaodan Liang, Ke Gong, Xiaohui Shen, Liang Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Dilated temporal relational adversarial network for generic video summarization.

Yujia Zhang, Michael Kampffmeyer, Xiaodan Liang, Dingwen Zhang, Min Tan, Eric P. Xing

Multim. Tools Appl., 2019

Blockwisely Supervised Neural Architecture Search with Knowledge Distillation.

Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang

CoRR, 2019

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

Qingxing Cao, Bailin Li, Xiaodan Liang, Liang Lin

CoRR, 2019

Fashion Editing with Multi-scale Attention Normalization.

Haoye Dong, Xiaodan Liang, Yixuan Zhang, Xujie Zhang, Zhenyu Xie, Bowen Wu, Ziqi Zhang, Xiaohui Shen, Jian Yin

CoRR, 2019

Towards Multi-pose Guided Virtual Try-on Network.

Haoye Dong, Xiaodan Liang, Bochao Wang, Hanjiang Lai, Jia Zhu, Jian Yin

CoRR, 2019

Indicator-based multi-objective adaptive bacterial foraging algorithm for RFID network planning.

Chaochun Yuan, Hanning Chen, Jie Shen, Na Lin, Weixing Su, Fang Liu, Xiaodan Liang

Clust. Comput., 2019

Soft Transfer Learning via Gradient Diagnosis for Visual Relationship Detection.

Diqi Chen, Xiaodan Liang, Yizhou Wang, Wen Gao

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Heterogeneous Graph Learning for Visual Commonsense Reasoning.

Weijiang Yu, Jingwen Zhou, Weihao Yu, Xiaodan Liang, Nong Xiao

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Neural Architecture Search for Adversarial Medical Image Segmentation.

Nanqing Dong, Min Xu, Xiaodan Liang, Yiliang Jiang, Wei Dai, Eric P. Xing

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching.

Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin

Proceedings of the 36th International Conference on Machine Learning, 2019

Part-Preserving Pose Manipulation for Person Image Synthesis.

Haoye Dong, Xiaodan Liang, Chenxing Zhou, Hanjiang Lai, Jia Zhu, Jian Yin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

AutoLoss: Learning Discrete Schedule for Alternate Optimization.

Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing

Proceedings of the 7th International Conference on Learning Representations, 2019

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

Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

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

Hang Xu, Lewei Yao, Zhenguo Li, Xiaodan Liang, Wei Zhang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Towards Multi-Pose Guided Virtual Try-On Network.

Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bochao Wang, Hanjiang Lai, Jia Zhu, Zhiting Hu, Jian Yin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

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

Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bowen Wu, Bing-Cheng Chen, Jian Yin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Layout-Graph Reasoning for Fashion Landmark Detection.

Weijiang Yu, Xiaodan Liang, Ke Gong, Chenhan Jiang, Nong Xiao, Liang Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Hang Xu, Chenhan Jiang, Xiaodan Liang, Liang Lin, Zhenguo Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Spatial-Aware Graph Relation Network for Large-Scale Object Detection.

Hang Xu, Chenhan Jiang, Xiaodan Liang, Zhenguo Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning Personalized Modular Network Guided by Structured Knowledge.

Xiaodan Liang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Rethinking Knowledge Graph Propagation for Zero-Shot Learning.

Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Graphonomy: Universal Human Parsing via Graph Transfer Learning.

Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks.

Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Target-Guided Open-Domain Conversation.

Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

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, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

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

Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation.

Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Scale-Aware Fast R-CNN for Pedestrian Detection.

Jianan Li, Xiaodan Liang, Shengmei Shen, Tingfa Xu, Jiashi Feng, Shuicheng Yan

IEEE Trans. Multim., 2018

Multistage Object Detection With Group Recursive Learning.

Jianan Li, Xiaodan Liang, Jianshu Li, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan

IEEE Trans. Multim., 2018

Proposal-Free Network for Instance-Level Object Segmentation.

Xiaodan Liang, Liang Lin, Yunchao Wei, Xiaohui Shen, Jianchao Yang, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2018

AutoLoss: Learning Discrete Schedules for Alternate Optimization.

Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing

CoRR, 2018

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

Zhiting Hu, Haoran Shi, Zichao Yang, Bowen Tan, Tiancheng Zhao, Junxian He, Wentao Wang, Xingjiang Yu, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing

CoRR, 2018

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

Bochao Wang, Huabin Zhang, Xiaodan Liang, Yimin Chen, Liang Lin, Meng Yang

CoRR, 2018

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

Rajesh Chidambaram, Michael Kampffmeyer, Willie Neiswanger, Xiaodan Liang, Thomas Lachmann, Eric P. Xing

CoRR, 2018

Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation.

Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing

CoRR, 2018

DTR-GAN: Dilated Temporal Relational Adversarial Network for Video Summarization.

Yujia Zhang, Michael Kampffmeyer, Xiaodan Liang, Dingwen Zhang, Min Tan, Eric P. Xing

CoRR, 2018

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

Luona Yang, Xiaodan Liang, Eric P. Xing

CoRR, 2018

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

Jintian Yun, Maowei He, Yunlong Zhu, Xiaodan Liang, Fang Liu, Weixing Su, Hanning Chen

Comput. Ind. Eng., 2018

Symbolic Graph Reasoning Meets Convolutions.

Xiaodan Liang, Zhiting Hu, Hao Zhang, Liang Lin, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation.

Yuan Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Hybrid Knowledge Routed Modules for Large-scale Object Detection.

Chenhan Jiang, Hang Xu, Xiaodan Liang, Liang Lin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Generative Models with Learnable Knowledge Constraints.

Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Lianhui Qin, Xiaodan Liang, Haoye Dong, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

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

Haoye Dong, Xiaodan Liang, Ke Gong, Hanjiang Lai, Jia Zhu, Jian Yin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Adaptive Temporal Encoding Network for Video Instance-level Human Parsing.

Qixian Zhou, Xiaodan Liang, Ke Gong, Liang Lin

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Structured Deep Learning for Pixel-level Understanding.

Yunchao Wei, Xiaodan Liang, Si Liu, Liang Lin

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

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

Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio.

Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

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

Wei Dai, Nanqing Dong, Zeya Wang, Xiaodan Liang, Hao Zhang, Eric P. Xing

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 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

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Teaching Robots to Predict Human Motion.

Liang-Yan Gui, Kevin Zhang, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura, Manuela Veloso

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Deep Learning Based Supervised Semantic Segmentation of Electron Cryo-Subtomograms.

Chang Liu, Xiangrui Zeng, Ruogu Lin, Xiaodan Liang, Zachary Freyberg, Eric P. Xing, Min Xu

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

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

Xiangyun Zhao, Haoxiang Li, Xiaohui Shen, Xiaodan Liang, Ying Wu

Proceedings of the Computer Vision - ECCV 2018, 2018

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

Luona Yang, Xiaodan Liang, Tairui Wang, Eric P. Xing

Proceedings of the Computer Vision - ECCV 2018, 2018

Toward Characteristic-Preserving Image-Based Virtual Try-On Network.

Bochao Wang, Huabin Zheng, Xiaodan Liang, Yimin Chen, Liang Lin, Meng Yang

Proceedings of the Computer Vision - ECCV 2018, 2018

Generative Semantic Manipulation with Mask-Contrasting GAN.

Xiaodan Liang, Hao Zhang, Liang Lin, Eric P. Xing

Proceedings of the Computer Vision - ECCV 2018, 2018

CIRL: Controllable Imitative Reinforcement Learning for Vision-Based Self-driving.

Xiaodan Liang, Tairui Wang, Luona Yang, Eric P. Xing

Proceedings of the Computer Vision - ECCV 2018, 2018

Adversarial Geometry-Aware Human Motion Prediction.

Liang-Yan Gui, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura

Proceedings of the Computer Vision - ECCV 2018, 2018

Instance-Level Human Parsing via Part Grouping Network.

Ke Gong, Xiaodan Liang, Yicheng Li, Yimin Chen, Ming Yang, Liang Lin

Proceedings of the Computer Vision - ECCV 2018, 2018

RCAA: Relational Context-Aware Agents for Person Search.

Xiaojun Chang, Po-Yao Huang, Yi-Dong Shen, Xiaodan Liang, Yi Yang, Alexander G. Hauptmann

Proceedings of the Computer Vision - ECCV 2018, 2018

Dynamic-Structured Semantic Propagation Network.

Xiaodan Liang, Hongfei Zhou, Eric P. Xing

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Reinforcement Cutting-Agent Learning for Video Object Segmentation.

Junwei Han, Le Yang, Dingwen Zhang, Xiaojun Chang, Xiaodan Liang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Visual Question Reasoning on General Dependency Tree.

Qingxing Cao, Xiaodan Liang, Bailin Li, Guanbin Li, Liang Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

Yujia Zhang, Michael Kampffmeyer, Xiaodan Liang, Min Tan, Eric P. Xing

Proceedings of the British Machine Vision Conference 2018, 2018

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

Kaiwen Wang, Xiangrui Zeng, Xiaodan Liang, Zhiguang Huo, Eric P. Xing, Min Xu

Proceedings of the British Machine Vision Conference 2018, 2018

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

Peilun Li, Xiaodan Liang, Daoyuan Jia, Eric P. Xing

Proceedings of the British Machine Vision Conference 2018, 2018

Adaptive Context-aware Reinforced Agent for Handwritten Text Recognition.

Liangke Gui, Xiaodan Liang, Xiaojun Chang, Alexander G. Hauptmann

Proceedings of the British Machine Vision Conference 2018, 2018

2017

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

Hanning Chen, Lianbo Ma, Maowei He, Xingwei Wang, Xiaodan Liang, Liling Sun, Min Huang

IEEE Trans. Syst. Man Cybern. Syst., 2017

Attentive Contexts for Object Detection.

Jianan Li, Yunchao Wei, Xiaodan Liang, Jian Dong, Tingfa Xu, Jiashi Feng, Shuicheng Yan

IEEE Trans. Multim., 2017

Root system growth biomimicry for global optimization models and emergent behaviors.

Lianbo Ma, Hanning Chen, Xu Li, Xiaoxian He, Xiaodan Liang

Soft Comput., 2017

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

Shikai Jing, Xiaodan Liang, Hanning Chen, Tao Zou, Lianbo Ma

Soft Comput., 2017

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

Yunchao Wei, Xiaodan Liang, Yunpeng Chen, Xiaohui Shen, Ming-Ming Cheng, Jiashi Feng, Yao Zhao, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Human Parsing with Contextualized Convolutional Neural Network.

Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Jinhui Tang, Liang Lin, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Learning to Segment Human by Watching YouTube.

Xiaodan Liang, Yunchao Wei, Liang Lin, Yunpeng Chen, Xiaohui Shen, Jianchao Yang, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Generative Semantic Manipulation with Contrasting GAN.

Xiaodan Liang, Hao Zhang, Eric P. Xing

CoRR, 2017

Controllable Text Generation.

Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing

CoRR, 2017

Nonparametric Variational Auto-encoders for Hierarchical Representation Learning.

Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing

CoRR, 2017

Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing.

Ke Gong, Xiaodan Liang, Xiaohui Shen, Liang Lin

CoRR, 2017

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

Wei Dai, Joseph Doyle, Xiaodan Liang, Hao Zhang, Nanqing Dong, Yuan Li, Eric P. Xing

CoRR, 2017

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

Hao Wang, Xiaodan Liang, Hao Zhang, Dit-Yan Yeung, Eric P. Xing

CoRR, 2017

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

Min Xu, Xiaoqi Chai, Hariank Muthakana, Xiaodan Liang, Ge Yang, Tzviya Zeev-Ben-Mordehai, Eric P. Xing

Bioinform., 2017

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

Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing

Proceedings of the 2017 USENIX Annual Technical Conference, 2017

Structured Generative Adversarial Networks.

Zhijie Deng, Hao Zhang, Xiaodan Liang, Luona Yang, Shizhen Xu, Jun Zhu, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 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

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Toward Controlled Generation of Text.

Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing

Proceedings of the 34th International Conference on Machine Learning, 2017

Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection.

Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta

Proceedings of the IEEE International Conference on Computer Vision, 2017

Dual Motion GAN for Future-Flow Embedded Video Prediction.

Xiaodan Liang, Lisa Lee, Wei Dai, Eric P. Xing

Proceedings of the IEEE International Conference on Computer Vision, 2017

Recurrent Topic-Transition GAN for Visual Paragraph Generation.

Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing

Proceedings of the IEEE International Conference on Computer Vision, 2017

Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning.

Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing, Carnegie Mellon

Proceedings of the IEEE International Conference on Computer Vision, 2017

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

Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Recurrent 3D Pose Sequence Machines.

Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang, Hui Cheng

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

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

Xiaodan Liang, Lisa Lee, Eric P. Xing

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Interpretable Structure-Evolving LSTM.

Xiaodan Liang, Liang Lin, Xiaohui Shen, Jiashi Feng, Shuicheng Yan, Eric P. Xing

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Perceptual Generative Adversarial Networks for Small Object Detection.

Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

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

Ke Gong, Xiaodan Liang, Dongyu Zhang, Xiaohui Shen, Liang Lin

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Attention-Aware Face Hallucination via Deep Reinforcement Learning.

Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

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

Xiaodan Liang, Liang Lin, Wei Yang, Ping Luo, Junshi Huang, Shuicheng Yan

IEEE Trans. Multim., 2016

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

Xiaodan Liang, Liang Lin, Qingxing Cao, Rui Huang, Yongtian Wang

IEEE Trans. Medical Imaging, 2016

Scale-Aware Pixelwise Object Proposal Networks.

Zequn Jie, Xiaodan Liang, Jiashi Feng, Wen Feng Lu, Francis Eng Hock Tay, Shuicheng Yan

IEEE Trans. Image Process., 2016

Multi-loss Regularized Deep Neural Network.

Chunyan Xu, Canyi Lu, Xiaodan Liang, Junbin Gao, Wei Zheng, Tianjiang Wang, Shuicheng Yan

IEEE Trans. Circuits Syst. Video Technol., 2016

Learning to segment with image-level annotations.

Yunchao Wei, Xiaodan Liang, Yunpeng Chen, Zequn Jie, Yanhui Xiao, Yao Zhao, Shuicheng Yan

Pattern Recognit., 2016

Peak-Piloted Deep Network for Facial Expression Recognition.

Xiangyun Zhao, Xiaodan Liang, Luoqi Liu, Teng Li, Nuno Vasconcelos, Shuicheng Yan

CoRR, 2016

Multi-stage Object Detection with Group Recursive Learning.

Jianan Li, Xiaodan Liang, Jianshu Li, Tingfa Xu, Jiashi Feng, Shuicheng Yan

CoRR, 2016

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

Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, Liang Lin

CoRR, 2016

Scale-aware Pixel-wise Object Proposal Networks.

Zequn Jie, Xiaodan Liang, Jiashi Feng, Wen Feng Lu, Francis Eng Hock Tay, Shuicheng Yan

CoRR, 2016

Tree-Structured Reinforcement Learning for Sequential Object Localization.

Zequn Jie, Xiaodan Liang, Jiashi Feng, Xiaojie Jin, Wen Feng Lu, Shuicheng Yan

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

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

Keze Wang, Shengfu Zhai, Hui Cheng, Xiaodan Liang, Liang Lin

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Geometric Scene Parsing with Hierarchical LSTM.

Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Xiaobai Liu, Liang Lin

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Peak-Piloted Deep Network for Facial Expression Recognition.

Xiangyun Zhao, Xiaodan Liang, Luoqi Liu, Teng Li, Yugang Han, Nuno Vasconcelos, Shuicheng Yan

Proceedings of the Computer Vision - ECCV 2016, 2016

Is Faster R-CNN Doing Well for Pedestrian Detection?

Liliang Zhang, Liang Lin, Xiaodan Liang, Kaiming He

Proceedings of the Computer Vision - ECCV 2016, 2016

Semantic Object Parsing with Graph LSTM.

Xiaodan Liang, Xiaohui Shen, Jiashi Feng, Liang Lin, Shuicheng Yan

Proceedings of the Computer Vision - ECCV 2016, 2016

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

Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, Liang Lin

Proceedings of the Computer Vision - ECCV 2016, 2016

Deep Structured Scene Parsing by Learning with Image Descriptions.

Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, Wangmeng Zuo

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Reversible Recursive Instance-Level Object Segmentation.

Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Zequn Jie, Jiashi Feng, Liang Lin, Shuicheng Yan

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

Xiaodan Liang, Xiaohui Shen, Donglai Xiang, Jiashi Feng, Liang Lin, Shuicheng Yan

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

Xiaodan Liang, Maowei He, Hanning Chen

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

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

Hanning Chen, Xiaodan Liang, Maowei He, Weixing Su

Proceedings of the Bio-inspired Computing - Theories and Applications, 2016

2015

Fashion Parsing With Video Context.

Si Liu, Xiaodan Liang, Luoqi Liu, Ke Lu, Liang Lin, Xiaochun Cao, Shuicheng Yan

IEEE Trans. Multim., 2015

Deep Human Parsing with Active Template Regression.

Xiaodan Liang, Si Liu, Xiaohui Shen, Jianchao Yang, Luoqi Liu, Jian Dong, Liang Lin, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2015

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

Yunchao Wei, Xiaodan Liang, Yunpeng Chen, Xiaohui Shen, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan

CoRR, 2015

Scale-aware Fast R-CNN for Pedestrian Detection.

Jianan Li, Xiaodan Liang, Shengmei Shen, Tingfa Xu, Shuicheng Yan

CoRR, 2015

Root system growth for global optimization.

Hanning Chen, Xiaodan Liang, WeiTao Yuan, Liling Sun, Maowei He, Nuo Ji

Proceedings of the IEEE International Conference on Information and Automation, 2015

Human Parsing with Contextualized Convolutional Neural Network.

Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Si Liu, Jinhui Tang, Liang Lin, Shuicheng Yan

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

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

Xiaodan Liang, Si Liu, Yunchao Wei, Luoqi Liu, Liang Lin, Shuicheng Yan

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Matching-CNN meets KNN: Quasi-parametric human parsing.

Si Liu, Xiaodan Liang, Luoqi Liu, Xiaohui Shen, Jianchao Yang, Changsheng Xu, Liang Lin, Xiaochun Cao, Shuicheng Yan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

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

WeiTao Yuan, Na Lin, Hanning Chen, Xiaodan Liang, Maowei He

Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015

2014

Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models.

Liang Lin, Yuanlu Xu, Xiaodan Liang, Jian-Huang Lai

IEEE Trans. Image Process., 2014

Computational Baby Learning.

Xiaodan Liang, Si Liu, Yunchao Wei, Luoqi Liu, Liang Lin, Shuicheng Yan

CoRR, 2014

Fashion Parsing with Video Context.

Si Liu, Xiaodan Liang, Luoqi Liu, Ke Lu, Liang Lin, Shuicheng Yan

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

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

Xiaodan Liang, Qingxing Cao, Rui Huang, Liang Lin

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013

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

Xiaodan Liang, Liang Lin, Liangliang Cao

Proceedings of the ACM Multimedia Conference, 2013

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

Xiaodan Liang, Jigang Wu, Liangyu Li

Proceedings of the 2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies, 2013

2011

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

Xiaodan Liang

Proceedings of the Fourth International Symposium on Parallel Architectures, 2011