王亮｜中国科学院大学｜学者主页

2025

《中国图象图形学报》连续学习及图像处理应用专栏简介

胡伏原，周涛，王亮，李玺，洪晓鹏，郑伟诗，王瑞平，张彰，吕凡，韩向娣

《中国图象图形学报》

2025

Qiyue Yin, Tongtong Yu, Shengqi Shen, Jun Jie Yang, Meijing Zhao, Wancheng Ni, Kaiqi Huang, Bin Liang, Liang Wang

Machine Intelligence Research

DOI

2024

Liping Wang, Qiang Liu, Huanhuan Ma, Shu Wu, Liang Wang

Communications in computer and information science

DOI

arXiv.org

2021

Contrast-Reconstruction Representation Learning for Self-Supervised Skeleton-Based Action Recognition

Peng Wang, Jun Wen, Chen-Yang Si, Yuntao Qian, Liang Wang

IEEE Transactions on Image Processing

DOI

2021

Chenyang Si, Ya Jing, Wei Wang, Liang Wang, Tieniu Tan

Pattern Recognition

DOI

2020

Wei Zhao, Mingyue Shang, Yang Liu, Liang Wang, Jingming Liu

arXiv.org

2020

Chenglong Li, Yan Huang, Liang Wang, Jin Tang, Liang Lin

arXiv.org

2019

Ya Jing, Chen-Yang Si, Junbo Wang, Wei Wang, Liang Wang, T. Tan

arXiv.org

2018

Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking

Chenglong Li, Chengli Zhu, Yan Huang, Jin Tang, Liang Wang

European Conference on Computer Vision

DOI

2018

Learning content and style: Joint action recognition and person identification from human skeletons

Hongsong Wang, Liang Wang

Pattern Recognition

DOI

2018

Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection

Chun-Shui Cao, Yongzhen Huang, Zi-Lei Wang, Liang Wang, Ninglong Xu, T. Tan

AAAI Conference on Artificial Intelligence

DOI

2018

Pose-Based Two-Stream Relational Networks for Action Recognition in Videos

Wei Wang, Jinjin Zhang, Chen-Yang Si, Liang Wang

arXiv.org

2018

Wei Tang, Gang Hua, Liang Wang

AAAI Conference on Artificial Intelligence

DOI

2017

交差視点からの歩容に基づく人間同定深部CNNの包括的研究【Powered by NICT】

Zifeng Wu, Yongzhen Huang, Liang Wang, Xiao-Gang Wang, Tien-Ping Tan

2017

Learning Semantic Concepts and Order for Image and Sentence Matching

Yan Huang, Qi Wu, Chun-Feng Song, Liang Wang

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

DOI

2016

Context-Aware Sequential Recommendation

Qiang Liu, Shu Wu, Diyi Wang, Zhaokang Li, Liang Wang

Proceedings

DOI

2016

K. Wang, Qi-Yue Yin, Wei Wang, Shu Wu, Liang Wang

arXiv.org

2016

An attention model based on spatial transformers for scene recognition

Shuxuan Guo, Li Liu, Wei Wang, Song-Yang Lao, Liang Wang

International Conference on Pattern Recognition

DOI

2016

Gait Retrieval: A Deep Hashing Method for People Retrieval in Video

Muhammad Rauf, Yongzhen Huang, Liang Wang

Chinese Conference on Pattern Recognition

DOI

Wei Tang, Yongzhen Huang, Liang Wang

Chinese Conference on Computer Vision

DOI

2015

Behavior identification method based on recurrent neural network and human skeleton movement sequences

Liang Wang, Wei Wang, Yong Du

2015

2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops

DOI

2014

M-Estimators and Half-Quadratic Minimization

R. He, Bao-Gang Hu, Xiao-Tong Yuan, Liang Wang

DOI

2014

Correntropy and Linear Representation

R. He, Bao-Gang Hu, Xiao-Tong Yuan, Liang Wang

DOI

2014

Correntropy with Nonnegative Constraint

R. He, Bao-Gang Hu, Xiao-Tong Yuan, Liang Wang

DOI

2014

T. Tan, Liang Wang, Wei Wang, Yan Huang

2013

Depth-embedded multiple pooling for image classification

Zhen Zhou, Yongzhen Huang, Liang Wang, T. Tan

2013 IEEE International Conference on Image Processing

DOI

2013

Learning Coupled Feature Spaces for Cross-Modal Matching

K. Wang, R. He, Wei Wang, Liang Wang, T. Tan

IEEE International Conference on Computer Vision

DOI

2013

Liang Wang, Yongzhen Huang, Wei Tang

Jun Zhang, Meihui Sun, Mei-Jing Ge, Zheng-Ling Yang, Jun-Tao Xue, Liang Wang

International Conference on Machine Learning and Computing

DOI

2012

Multiple HOG templates for gait recognition

Yushu Liu, Junping Zhang, Chen Wang, Liang Wang

International Conference on Pattern Recognition

2012

Huazhong Ning, Liang Wang, Weinting Hu, T. Tan

2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. TENCOM '02. Proceedings.

DOI

2002

Articulated model based people tracking using motion models

Huazhong Ning, Liang Wang, Wei-Ming Hu, T. Tan

Proceedings. Fourth IEEE International Conference on Multimodal Interfaces

DOI

2002

Gait recognition based on Procrustes shape analysis

Liang Wang, Huazhong Ning, Wei-Ming Hu, T. Tan

Proceedings. International Conference on Image Processing

DOI

精选作品

期刊论文

《中国图象图形学报》连续学习及图像处理应用专栏简介

持续学习研究进展

Hierarchical Multimodal Knowledge Matching for Training-Free Open-Vocabulary Object Detection

MambaPTP: Exploring the Potential of Mamba for Pedestrian Trajectory Prediction

Frequency-Domain Multi-modal Fusion for Language-Guided Medical Image Segmentation

Constraint-Aware Zero-Shot Vision-Language Navigation in Continuous Environments

GVSE++: improved gated visual-semantic embedding for few-shot image and sentence matching

Love in Action: Gamifying Public Video Cameras for Fostering Social Relationships in Real World

S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion

Learning Fine-Grained Alignment for Aerial Vision-Dialog Navigation

GR-MG: Leveraging Partially-Annotated Data via Multi-Modal Goal-Conditioned Policy

Personalized Text Generation with Contrastive Activation Steering

Chain-of-Retrieval Augmented Generation

Thinking Augmented Pre-training

CSFRNet: Integrating Clothing Status Awareness for Long-Term Person Re-identification

MPE 3 : Learning meta-prompt with entity-enhanced semantics for few-shot named entity recognition

Modality-Balanced Learning for Multimedia Recommendation

Unpaired Image-Text Matching via Multimodal Aligned Conceptual Knowledge

Human Image Generation: A Comprehensive Survey

Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection

Bi-Level Graph Structure Learning for Next POI Recommendation

Out-of-Distribution Evidence-Aware Fake News Detection via Dual Adversarial Debiasing

Memory-Adaptive Vision-and-Language Navigation

ETPNav: Evolving Topological Planning for Vision-Language Navigation in Continuous Environments

Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables

Interpretable Multimodal Out-of-Context Detection with Soft Logic Regularization

Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox

Chain-of-History Reasoning for Temporal Knowledge Graph Forecasting

Self-Supervised Recovery and Guide for Low-Resolution Person Re-Identification

CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction

Bootstrap Your Own Context Length

Multilingual E5 Text Embeddings: A Technical Report

Little Giants: Synthesizing High-Quality Embedding Data at Scale

LongEmbed: Extending Embedding Models for Long Context Retrieval

Generative Representational Instruction Tuning

Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks

Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation

Multi-Level Adversarial Spatio-Temporal Learning for Footstep Pressure Based FoG Detection

Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning

Dual-focus transfer network for zero-shot learning

AI in Human-computer Gaming: Techniques, Challenges and Opportunities

3D Shape Temporal Aggregation for Video-Based Clothing-Change Person Re-identification

Multi-semantic Fusion Model For Generalized Zero-Shot Skeleton-Based Action Recognition

Incremental Pedestrian Attribute Recognition via Dual Uncertainty-Aware Pseudo-Labeling

Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels

Improving Inconspicuous Attributes Modeling for Person Search by Language

Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation

Illumination Distillation Framework for Nighttime Person Re-Identification and a New Benchmark

Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning

Diag-IoU Loss for Object Detection

TCGF: A unified tensorized consensus graph framework for multi-view representation learning

Contextualized Small Target Detection Network for Small Target Goat Face Detection

Learning Latent Relations for Temporal Knowledge Graph Reasoning

QuickFPS: Architecture and Algorithm Co-Design for Farthest Point Sampling in Large-Scale Point Clouds

Exploring Model Dynamics for Accumulative Poisoning Discovery

Hierarchical attention neural network for information cascade prediction

FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis

FuseFPS: Accelerating Farthest Point Sampling with Fusing KD-tree Construction for Point Clouds

$\mathtt {Radar}$: Adversarial Driving Style Representation Learning With Data Augmentation

Uncovering Neural Scaling Laws in Molecular Representation Learning

Counterfactual Debiasing for Fact Verification

CvFormer: Cross-view transFormers with pre-training for fMRI analysis of human brain

AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation

EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling

Learning to Rank in Generative Retrieval

PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training

Improving Text Embeddings with Large Language Models

Fine-Tuning LLaMA for Multi-Stage Text Retrieval

Learning to Retrieve In-Context Examples for Large Language Models

Query2doc: Query Expansion with Large Language Models

Large Search Model: Redefining Search Stack in the Era of LLMs

Inference with Reference: Lossless Acceleration of Large Language Models

Multiview Identifiers Enhanced Generative Retrieval

Focal and efficient IOU loss for accurate bounding box regression

Learning Domain Invariant Representations for Generalizable Person Re-Identification

Pose-Appearance Relational Modeling for Video Action Recognition

Fusion Tree Network for RGBT Tracking