章洁｜江南大学｜学者主页

2026

何为“牛马”:职场青年自嘲话语的多模态传播机制研究

章洁，陈梦元

《传媒评论》

2026

认知负荷视角下探索类VR游戏视觉引导设计研究

张文茜，章洁

《工业设计》

DOI

2026

AIGC介入下网络表情包的设计流程与生成策略研究

许卓尔，章洁

《艺术教育》

2026

BIMM: Brain-Inspired Masked Modeling for Video Representation Learning

Jie Zhang, Zhifan Wan, Sen Nie, Changzhen Li, Shiguang Shan, Xi-Lin Chen

IEEE transactions on circuits and systems for video technology (Print)

DOI

2026

Neural Gate: Mitigating Privacy Risks in LVLMs via Neuron-Level Gradient Gating

Xiangkui Cao, Jie Zhang, Mei-Na Kan, Shiguang Shan, Xi-Lin Chen

arXiv.org

DOI

2026

BadAction: Backdoor Attacks on Interactive Video Generation via Action-Guided Triggers

Zhi-Hang Wu, Zhong Ling Wang, Jie Zhang, Feng-Ming Gu, Shiguang Shan, Xi-Lin Chen

2026

The Competition of Fairness in AI-generated Face Detection: Methods and Results

Shu Hu, Li Lin, Shail Desai, Aditya Pawar, Guangyu Lin, Xin Wang, Danielle Schiff, S. Mohanty, Ryan Ofman, Narcis Bejtic, Jon Gillham, Wen-Bin Zhang, Bao-Yuan Wu, Cristian Canton, Xiaoming Liu, Luisa Verdoliva, Siwei Lyu, Yongwei Tang, Zhiqiang Wu, Jiawen Seow, Zara Alaverdyan, Anne Baron, S. Bozonnet, Martins Bruveris, Jochem Gietema, Lucia Innocenti, Lisa Ivanova, Olivier Koch, Harry Ni, Arthur Pajot, Romain Sabathe, Feng-Ming Gu, Xing-Ming Long, Jie Zhang, Wenqing Ge, Xiangkui Cao, Yue-Cong Min, Ying-Jie Liu, Zong-Hui Guo, Shiguang Shan, Jinhee Park, Minjun Kim, A. Park, Guisik Kim, Taewoo Kim, YoungJoon Yoo, Junseok Kwon, Zhaoda Li, Meng Tang, Le Huang, Bogdan Dura, Sebastian Balmuş, Fang-Yi Su, Tsung-Hua Lee, Ting-Wan Kao

Machine Intelligence Research

DOI

2025

浙江故事如何走向世界

郭璇，章洁，姜贤正，阿什·萨克利夫，路明

《传媒评论》

2025

舌尖上的认同与交流：在华“洋网红”抖音美食短视频的话语分析

章洁，陈梦元，石成昆，卢禾

《大众电视》

2025

旅华热潮中的国际传播再思考——基于YouTube平台旅华视频的内容分析

章洁，陈梦元

《中国广播电视学刊》

2025

认知负荷视阈下文旅产品视听融合交互设计策略研究

梅傲霜，章洁

《设计》

DOI

2025

Dynamic Attention Analysis for Backdoor Detection in Text-to-Image Diffusion Models

Zhong Ling Wang, Jie Zhang, Shiguang Shan, Xi-Lin Chen

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

Leveraging auxiliary-tasks for height and weight estimation with pose-disentanglement

Dan Han, Jie Zhang, Shiguang Shan

Frontiers of Computer Science

DOI

2025

REVAL: A Comprehension Evaluation on Reliability and Values of Large Vision-Language Models

Jie Zhang, Zheng Yuan, Zhong Ling Wang, Bei Yan, Sibo Wang, Xiangkui Cao, Zong-Hui Guo, Shiguang Shan, Xi-Lin Chen

arXiv.org

DOI

2025

Semantic Mismatch and Perceptual Degradation: A New Perspective on Image Editing Immunity

Shuai Dong, Jie Zhang, Guoying Zhao, Shiguang Shan, Xi-Lin Chen

arXiv.org

DOI

2025

Dual-Branch Partial Annotation Learning for Facial Attributes Recognition

Dan Han, Ming-Jie He, Jie Zhang, Shiguang Shan

IEEE International Conference on Automatic Face & Gesture Recognition

DOI

2025

Toward Transferable Defense Against Malicious Image Edits

Jie Zhang, Shuai Dong, Shiguang Shan, Xi-Lin Chen

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

V-Attack: Targeting Disentangled Value Features for Controllable Adversarial Attacks on LVLMs

Sen Nie, Jie Zhang, Jianxin Yan, Shiguang Shan, Xi-Lin Chen

arXiv.org

DOI

2025

Trigger Without Trace: Toward Stealthy Backdoor Attack on Text-to-Image Diffusion Models

Jie Zhang, Zhong Ling Wang, Shiguang Shan, Xi-Lin Chen

IEEE Transactions on Information Forensics and Security

DOI

2025

Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs

Jie Zhang, Zhong Ling Wang, Mengqi Lei, Zheng Yuan, Bei Yan, Shiguang Shan, Xi-Lin Chen

International Conference on Learning Representations

2025

Assimilation Matters: Model-level Backdoor Detection in Vision-Language Pretrained Models

Zhong Ling Wang, Jie Zhang, Shiguang Shan, Xi-Lin Chen

arXiv.org

DOI

2025

Steering Vision-Language Pre-trained Models for Incremental Face Presentation Attack Detection

Hao-Ze Li, Jie Zhang, Guoying Zhao, Stephen Lin, Shiguang Shan

arXiv.org

DOI

2025

Dual Attention Guided Defense Against Malicious Edits

Jie Zhang, Shuai Dong, Shiguang Shan, Xi-Lin Chen

IEEE Transactions on Information Forensics and Security

DOI

2024

基于视觉感知的信息可视化研究综述及展望

杨铭，章洁

《包装与设计》

2024

Confidence Aware Learning for Reliable Face Anti-Spoofing

Xing-Ming Long, Jie Zhang, Shiguang Shan

IEEE Transactions on Information Forensics and Security

DOI

2024

FullLoRA: Efficiently Boosting the Robustness of Pretrained Vision Transformers

Zheng Yuan, Jie Zhang, Shiguang Shan, Xi-Lin Chen

IEEE Transactions on Image Processing

DOI

2024

Pre-Trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness

Sibo Wang, Jie Zhang, Zheng Yuan, Shiguang Shan

Computer Vision and Pattern Recognition

DOI

2024

Image to Pseudo-Episode: Boosting Few-Shot Segmentation by Unlabeled Data

Jie Zhang, Yu-Han Li, Yude Wang, Stephen Lin, Shiguang Shan

Social Science Research Network

DOI

2024

Towards Robust Semantic Segmentation against Patch-Based Attack via Attention Refinement

Zheng Yuan, Jie Zhang, Yude Wang, Shiguang Shan, Xi-Lin Chen

International Journal of Computer Vision

DOI

2024

Anonymization Prompt Learning for Facial Privacy-Preserving Text-to-Image Generation

Liang Shi, Jie Zhang, Shiguang Shan

International Journal of Computer Vision

DOI

2024

Collaboratively Self-Supervised Video Representation Learning for Action Recognition

Jie Zhang, Zhifan Wan, Lan-Qing Hu, Stephen Lin, Shuzhe Wu, Shiguang Shan

IEEE Transactions on Information Forensics and Security

DOI

2024

Multi-P2A: A Multi-perspective Benchmark on Privacy Assessment for Large Vision-Language Models

Jie Zhang, Xiangkui Cao, Zhouyu Han, Shiguang Shan, Xi-Lin Chen

IEEE Transactions on Information Forensics and Security

DOI

2024

Generalized Face Liveness Detection via De-Fake Face Generator

Xing-Ming Long, Jie Zhang, Shiguang Shan

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2024

Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox

Xing-Ming Long, Jie Zhang, Shiguang Shan, Xi-Lin Chen

Neural Information Processing Systems

DOI

2024

VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model

Sibo Wang, Xiangkui Cao, Jie Zhang, Zheng Yuan, Shiguang Shan, Xi-Lin Chen, Wen Gao

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2024

Enhancing Face Recognition With Detachable Self-Supervised Bypass Networks

Ming-Jie He, Jie Zhang, Shiguang Shan, Xi-Lin Chen

IEEE Transactions on Image Processing

DOI

2024

Real face foundation representation learning for generalized deepfake detection

Liang Shi, Jie Zhang, Zhilong Ji, Jinfeng Bai, Shiguang Shan

Pattern Recognition

DOI

2024

Dual Sampling Based Causal Intervention for Face Anti-Spoofing With Identity Debiasing

Xing-Ming Long, Jie Zhang, Shuzhe Wu, Xin Jin, Shiguang Shan

IEEE Transactions on Information Forensics and Security

DOI

2024

Measuring the Measurers: Quality Evaluation of Hallucination Benchmarks for Large Vision-Language Models

Bei Yan, Jie Zhang, Zheng Yuan, Shiguang Shan, Xi-Lin Chen

2024

MM-MoralBench: A multimodal moral evaluation benchmark for large vision-language models

Bei Yan, Jie Zhang, Zhiyuan Chen, Shiguang Shan, Xi-Lin Chen

Pattern Recognition

DOI

2024

T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models

Zhong Ling Wang, Jie Zhang, Shiguang Shan, Xi-Lin Chen

European Conference on Computer Vision

DOI

2024

Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection

Xing-Ming Long, Jie Zhang, Shiguang Shan, Xi-Lin Chen

arXiv.org

DOI

2023

CCLAP: Controllable Chinese Landscape Painting Generation Via Latent Diffusion Model

Zhong Ling Wang, Jie Zhang, Zhilong Ji, Jinfeng Bai, S. Shan

IEEE International Conference on Multimedia and Expo

DOI

2023

Patch Is Not All You Need

Changzhen Li, Jie Zhang, Yang Wei, Zhilong Ji, Jinfeng Bai, S. Shan

arXiv.org

DOI

2023

Adaptive Adversarial Patch Attack on Face Recognition Models

Bei Yan, Jie Zhang, Zheng Yuan, Shiguang Shan

2023 IEEE International Joint Conference on Biometrics (IJCB)

DOI

2023

Self-supervised Learning for Fine-grained Ethnicity Classification under Limited Labeled Data

Kun Li, Jie Zhang, S. Shan

IEEE International Conference on Automatic Face & Gesture Recognition

DOI

2023

BLPSeg: Balance the Label Preference in Scribble-Supervised Semantic Segmentation

Yude Wang, Jie Zhang, Mei-Na Kan, S. Shan, Xi-Lin Chen

IEEE Transactions on Image Processing

DOI

2023

Data-Efficient Masked Video Modeling for Self-supervised Action Recognition

Qian-Kun Li, Xiao-Long Huang, Zhifan Wan, Lan-Qing Hu, Shuzhe Wu, Jie Zhang, Shiguang Shan, Zeng-Fu Wang

ACM Multimedia

DOI

2022

Hierarchical Compositional Representations for Few-shot Action Recognition

Changzhen Li, Jie Zhang, Shuzhe Wu, Xin Jin, S. Shan

Computer Vision and Image Understanding

DOI

2022

Dual-Branch Meta-Learning Network With Distribution Alignment for Face Anti-Spoofing

Yunpei Jia, Jie Zhang, S. Shan

IEEE Transactions on Information Forensics and Security

DOI

2022

Learning pseudo labels for semi-and-weakly supervised semantic segmentation

Yude Wang, Jie Zhang, Mei-Na Kan, S. Shan

Pattern Recognition

DOI

2022

Enhancing Face Recognition with Self-Supervised 3D Reconstruction

Ming-Jie He, Jie Zhang, S. Shan, Xi-Lin Chen

Computer Vision and Pattern Recognition

DOI

2021

Unknown Aware Feature Learning for Face Forgery Detection

Liang Shi, Jie Zhang, Chenyue Liang, S. Shan

IEEE International Conference on Automatic Face & Gesture Recognition

DOI

2021

Learning Shape-Appearance Based Attributes Representation for Facial Attribute Recognition with Limited Labeled Data

Kun Li, Jie Zhang, S. Shan

IEEE International Conference on Automatic Face & Gesture Recognition

DOI

2021

Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing

Yunpei Jia, Jie Zhang, S. Shan, Xi-Lin Chen

Pattern Recognition

DOI

2021

Efficient Face Alignment Network For Masked Face

Yu-Yang Sha, Jie Zhang, Xiao Liu, Zhong-Qin Wu, S. Shan

2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)

DOI

2020

PAS-Net: Pose-based and Appearance-based Spatiotemporal Networks Fusion for Action Recognition

Changzhen Li, Jie Zhang, S. Shan, Xi-Lin Chen

IEEE International Conference on Automatic Face & Gesture Recognition

DOI

2020

Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation

Yude Wang, Jie Zhang, Mei-Na Kan, S. Shan, Xi-Lin Chen

Computer Vision and Pattern Recognition

DOI

2020

Leveraging Auxiliary Tasks for Height and Weight Estimation by Multi Task Learning

Dan Han, Jie Zhang, S. Shan

2020 IEEE International Joint Conference on Biometrics (IJCB)

DOI

2020

Single-Side Domain Generalization for Face Anti-Spoofing

Yunpei Jia, Jie Zhang, S. Shan, Xi-Lin Chen

Computer Vision and Pattern Recognition

DOI

2020

Deformable face net for pose invariant face recognition

Ming-Jie He, Jie Zhang, S. Shan, Mei-Na Kan, Xi-Lin Chen

Pattern Recognition

DOI

2020

Attributes Aware Face Generation with Generative Adversarial Networks

Zheng Yuan, Jie Zhang, S. Shan, Xi-Lin Chen

International Conference on Pattern Recognition

DOI

2020

Noise Robust Hard Example Mining for Human Detection with Efficient Depth-Thermal Fusion

Zijian Zhao, Jie Zhang, S. Shan

IEEE International Conference on Automatic Face & Gesture Recognition

DOI

2019

Locality-constrained framework for face alignment

Jie Zhang, Xiaowei Zhao, Mei-Na Kan, S. Shan, Xiujuan Chai, Xi-Lin Chen

Frontiers of Computer Science

DOI

2019

DFT-Net: Disentanglement of Face Deformation and Texture Synthesis for Expression Editing

Jinghui Wang, Jie Zhang, Zi-Jia Lu, S. Shan

International Conference on Information Photonics

DOI

2019

Deformable Face Net: Learning Pose Invariant Feature with Pose Aware Feature Alignment for Face Recognition

Ming-Jie He, Jie Zhang, S. Shan, Mei-Na Kan, Xi-Lin Chen

IEEE International Conference on Automatic Face & Gesture Recognition

DOI

2018

A Three-Category Face Detector with Contextual Information on Finding Tiny Faces

Feng-Lin Jiang, Jie Zhang, Li-Ping Yan, Yuan-Qing Xia, S. Shan

International Conference on Information Photonics

DOI

2017

KinNet: Fine-to-Coarse Deep Metric Learning for Kinship Verification

Yong Li, Jiabei Zeng, Jie Zhang, Anbo Dai, Mei-Na Kan, S. Shan, Xi-Lin Chen

Proceedings of the 2017 Workshop on Recognizing Families In the Wild

DOI

2017

Robust FEC-CNN: A High Accuracy Facial Landmark Detection System

Zhenliang He, Jie Zhang, Mei-Na Kan, S. Shan, Xi-Lin Chen

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

DOI

2017

A Fully End-to-End Cascaded CNN for Facial Landmark Detection

Zhenliang He, Mei-Na Kan, Jie Zhang, Xi-Lin Chen, S. Shan

IEEE International Conference on Automatic Face & Gesture Recognition

DOI

2016

社交媒体介入传统媒体的传播特质探析——“人民日报”“央视新闻”“澎湃新闻”微信公众号内容对比分析

王翎子，章洁

《中国出版》，No. 3

下载原文

2016

Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders

Jie Zhang, Mei-Na Kan, S. Shan, Xi-Lin Chen

Computer Vision and Pattern Recognition

DOI

2015

Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network

Jie Zhang, Mei-Na Kan, S. Shan, Xi-Lin Chen

IEEE International Conference on Computer Vision

DOI

2015

AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation

Xin Liu, Shaoxin Li, Mei-Na Kan, Jie Zhang, Shuzhe Wu, Wenxian Liu, Hu Han, S. Shan, Xi-Lin Chen

2015 IEEE International Conference on Computer Vision Workshop (ICCVW)

DOI

2014

Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment

Jie Zhang, Mei-Na Kan, S. Shan, Xiaowei Zhao, Xi-Lin Chen

Asian Conference on Computer Vision

DOI

2014

Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment

Jie Zhang, S. Shan, Mei-Na Kan, Xi-Lin Chen

European Conference on Computer Vision

DOI

2011

积极的受众:人本主义心理学对传播学研究的影响

章洁

《新闻界》，No. 1

下载原文

2011

依托媒介信息的农产品销售模式创新与扩散——大众媒介对农产品销售手段的影响

章洁，章洁林羽丰

《新闻界》，No. 8

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2011

关联属性:利益还是兴趣——基于导向需要理论的议程设置效果实验

章洁，毛良斌章洁

《新闻界》，No. 6

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2009

准社会交往中青少年明星崇拜的研究

章洁

《当代传播》，No. 1

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2007

从偏执追星看青少年媒介素养教育——浙江青少年偶像崇拜的调查

章洁，方建移

《当代传播》，No. 5

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2006

媒介人物与中学生偶像崇拜——兼谈偶像崇拜与榜样学习的区别

章洁，詹小路

《现代传播（中国传媒大学学报）》，No. 6

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2006

浙江省中学生“知沟”假设的实证研究

葛进平，章洁，方建移，张芹

《新闻与传播研究》，Vol. 13, No. 4

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2005

媒体监督与司法独立的悖论解读及对策

章洁

《现代传播（中国传媒大学学报）》，No. 3

下载原文

2005

媒体监督对司法独立的影响

章洁

《当代传播》，No. 6

下载原文

精选作品

期刊论文

何为“牛马”:职场青年自嘲话语的多模态传播机制研究

认知负荷视角下探索类VR游戏视觉引导设计研究

AIGC介入下网络表情包的设计流程与生成策略研究

BIMM: Brain-Inspired Masked Modeling for Video Representation Learning

Neural Gate: Mitigating Privacy Risks in LVLMs via Neuron-Level Gradient Gating

BadAction: Backdoor Attacks on Interactive Video Generation via Action-Guided Triggers

The Competition of Fairness in AI-generated Face Detection: Methods and Results

浙江故事如何走向世界

舌尖上的认同与交流：在华“洋网红”抖音美食短视频的话语分析

旅华热潮中的国际传播再思考——基于YouTube平台旅华视频的内容分析

认知负荷视阈下文旅产品视听融合交互设计策略研究

Dynamic Attention Analysis for Backdoor Detection in Text-to-Image Diffusion Models

Leveraging auxiliary-tasks for height and weight estimation with pose-disentanglement

REVAL: A Comprehension Evaluation on Reliability and Values of Large Vision-Language Models

Semantic Mismatch and Perceptual Degradation: A New Perspective on Image Editing Immunity

Dual-Branch Partial Annotation Learning for Facial Attributes Recognition

Toward Transferable Defense Against Malicious Image Edits

V-Attack: Targeting Disentangled Value Features for Controllable Adversarial Attacks on LVLMs

Trigger Without Trace: Toward Stealthy Backdoor Attack on Text-to-Image Diffusion Models

Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs

Assimilation Matters: Model-level Backdoor Detection in Vision-Language Pretrained Models

Steering Vision-Language Pre-trained Models for Incremental Face Presentation Attack Detection

Dual Attention Guided Defense Against Malicious Edits

基于视觉感知的信息可视化研究综述及展望

Confidence Aware Learning for Reliable Face Anti-Spoofing

FullLoRA: Efficiently Boosting the Robustness of Pretrained Vision Transformers

Pre-Trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness

Image to Pseudo-Episode: Boosting Few-Shot Segmentation by Unlabeled Data

Towards Robust Semantic Segmentation against Patch-Based Attack via Attention Refinement

Anonymization Prompt Learning for Facial Privacy-Preserving Text-to-Image Generation

Collaboratively Self-Supervised Video Representation Learning for Action Recognition

Multi-P2A: A Multi-perspective Benchmark on Privacy Assessment for Large Vision-Language Models

Generalized Face Liveness Detection via De-Fake Face Generator

Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox

VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model

Enhancing Face Recognition With Detachable Self-Supervised Bypass Networks

Real face foundation representation learning for generalized deepfake detection

Dual Sampling Based Causal Intervention for Face Anti-Spoofing With Identity Debiasing

Measuring the Measurers: Quality Evaluation of Hallucination Benchmarks for Large Vision-Language Models

MM-MoralBench: A multimodal moral evaluation benchmark for large vision-language models

T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models

Semantic or Covariate? A Study on the Intractable Case of Out-of-Distribution Detection

CCLAP: Controllable Chinese Landscape Painting Generation Via Latent Diffusion Model

Patch Is Not All You Need

Adaptive Adversarial Patch Attack on Face Recognition Models

Self-supervised Learning for Fine-grained Ethnicity Classification under Limited Labeled Data

BLPSeg: Balance the Label Preference in Scribble-Supervised Semantic Segmentation

Data-Efficient Masked Video Modeling for Self-supervised Action Recognition

Hierarchical Compositional Representations for Few-shot Action Recognition

Dual-Branch Meta-Learning Network With Distribution Alignment for Face Anti-Spoofing

Learning pseudo labels for semi-and-weakly supervised semantic segmentation

Enhancing Face Recognition with Self-Supervised 3D Reconstruction

Unknown Aware Feature Learning for Face Forgery Detection

Learning Shape-Appearance Based Attributes Representation for Facial Attribute Recognition with Limited Labeled Data

Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing

Efficient Face Alignment Network For Masked Face

PAS-Net: Pose-based and Appearance-based Spatiotemporal Networks Fusion for Action Recognition

Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation

Leveraging Auxiliary Tasks for Height and Weight Estimation by Multi Task Learning

Single-Side Domain Generalization for Face Anti-Spoofing

Deformable face net for pose invariant face recognition

Attributes Aware Face Generation with Generative Adversarial Networks

Noise Robust Hard Example Mining for Human Detection with Efficient Depth-Thermal Fusion

Locality-constrained framework for face alignment

DFT-Net: Disentanglement of Face Deformation and Texture Synthesis for Expression Editing

Deformable Face Net: Learning Pose Invariant Feature with Pose Aware Feature Alignment for Face Recognition

A Three-Category Face Detector with Contextual Information on Finding Tiny Faces

KinNet: Fine-to-Coarse Deep Metric Learning for Kinship Verification

Robust FEC-CNN: A High Accuracy Facial Landmark Detection System

A Fully End-to-End Cascaded CNN for Facial Landmark Detection

社交媒体介入传统媒体的传播特质探析——“人民日报”“央视新闻”“澎湃新闻”微信公众号内容对比分析

Occlusion-Free Face Alignment: Deep Regression Networks Coupled with De-Corrupt AutoEncoders

Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network

AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation

Topic-Aware Deep Auto-Encoders (TDA) for Face Alignment

Coarse-to-Fine Auto-Encoder Networks (CFAN) for Real-Time Face Alignment

积极的受众:人本主义心理学对传播学研究的影响

依托媒介信息的农产品销售模式创新与扩散——大众媒介对农产品销售手段的影响