Fire and Smoke Dynamic Textures Characterization by Applying Periodicity Index Based on Motion Features. - Kanoksak Wattanachote; Zehang Lin; Mingchao Jiang; Liuwu Li; Gongliang Wang; Wenyin Liu (ICVS, 2017)

Cross-Domain and Cross-Modality Transfer Learning for Multi-domain and Multi-modality Event Detection. - Zhenguo Yang; Min Cheng; Qing Li 001; Yukun Li; Zehang Lin; Wenyin Liu (WISE (1), 2017)

Random Forest Exploiting Post-related and User-related Features for Social Media Popularity Prediction. - Feitao Huang; Junhong Chen; Zehang Lin; Peipei Kang; Zhenguo Yang (ACM Multimedia, 2018)

Regional Maximum Activations of Convolutions with Attention for Cross-domain Beauty and Personal Care Product Retrieval. - Zehang Lin; Zhenguo Yang; Feitao Huang; Junhong Chen (ACM Multimedia, 2018)

Improving Maximum Classifier Discrepancy by Considering Joint Distribution for Domain Adaptation. - Zehang Lin; Zhenguo Yang; Runwei Situ; Feitao Huang; Jianming Lv; Qing Li 001; Wenyin Liu (WISE (2), 2018)

Deep Semantic Space with Intra-class Low-rank Constraint for Cross-modal Retrieval. - Peipei Kang; Zehang Lin; Zhenguo Yang; Xiaozhao Fang; Qing Li 001; Wenyin Liu (ICMR, 2019)

Catboost-based Framework with Additional User Information for Social Media Popularity Prediction. - Peipei Kang; Zehang Lin; Shaohua Teng; Guipeng Zhang; Lingni Guo; Wei Zhang 005 (ACM Multimedia, 2019)

Cross-domain Beauty Item Retrieval via Unsupervised Embedding Learning. - Zehang Lin; Haoran Xie 001; Peipei Kang; Zhenguo Yang; Wenyin Liu; Qing Li 001 (ACM Multimedia, 2019)

Single-Stage Detector with Semantic Attention for Occluded Pedestrian Detection. - Fang Wen 003; Zehang Lin; Zhenguo Yang; Wenyin Liu (MMM (2), 2019)

MMED: A Multi-domain and Multi-modality Event Dataset. - Zhenguo Yang; Zehang Lin; Min Cheng; Qing Li 001; Wenyin Liu (CoRR, 2019)

A layer-wise deep stacking model for social image popularity prediction. - Zehang Lin; Feitao Huang; Yukun Li; Zhenguo Yang; Wenyin Liu (World Wide Web, 2019)

The application of ranking task in mechanical engineering drawing teaching strategy. - Wenjing Shen; Zehang Lin; Hongzhi Wang (LWMOOCS, 2020)

MMED: A multi-domain and Multi-modality event dataset. - Zhenguo Yang; Zehang Lin; Lingni Guo; Qing Li 001; Wenyin Liu (Inf. Process. Manag., 2020)

Learning Shared Semantic Space with Correlation Alignment for Cross-Modal Event Retrieval. - Zhenguo Yang; Zehang Lin; Peipei Kang; Jianming Lv; Qing Li 001; Wenyin Liu (ACM Trans. Multim. Comput. Commun. Appl., 2020)

A Double Phases Generation Network for Yes or No Question Generation (Student Abstract). - Jiayuan Xie; Feng Chen; Yi Cai 001; Zehang Lin (AAAI, 2021)

Suicide Ideation Detection on Social Media During COVID-19 via Adversarial and Multi-task Learning. - Jun Li 062; Zhihan Yan; Zehang Lin; Xingyun Liu; Hong Va Leong; Nancy Xiaonan Yu; Qing Li 001 (APWeb/WAIM (1), 2021)

Comparison Question Generation Based on Potential Compared Attributes Extraction. - Jiayuan Xie; Wenhao Fang; Yi Cai 001; Zehang Lin (APWeb/WAIM (2), 2021)

Temporal Graph Convolutional Network for Multimodal Sentiment Analysis. - Jian Huang; Zehang Lin; Zhenguo Yang; Wenyin Liu (ICMI, 2021)

DepthGrasp: Depth Completion of Transparent Objects Using Self-Attentive Adversarial Network with Spectral Residual for Grasping. - Yingjie Tang; Junhong Chen; Zhenguo Yang; Zehang Lin; Qing Li 001; Wenyin Liu (IROS, 2021)

Event Cube for Suicidal Event Analysis: A Case Study. - Qing Li 001; Zhihan Yan; Jun Li 062; Zhenguo Yang; Zehang Lin; Hong Va Leong; Lei Chen 002; Nancy Xiaonan Yu (WISE (1), 2021)

Towards Temporal Event Detection: A Dataset and Benchmarks. - Zhenguo Yang; Haizhong Zhu; Zhiwei Guo; Han Lin; Zehang Lin; Qing Li 001; Wenyin Liu (ICME, 2022)

Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval. - Peipei Kang; Zehang Lin; Zhenguo Yang; Xiaozhao Fang; Alexander M. Bronstein; Qing Li 001; Wenyin Liu (Appl. Intell., 2022)

Deep fused two-step cross-modal hashing with multiple semantic supervision. - Peipei Kang; Zehang Lin; Zhenguo Yang; Alexander M. Bronstein; Qing Li 001; Wenyin Liu (Multim. Tools Appl., 2022)

Learning semantic alignment from image for text-guided image inpainting. - Yucheng Xie; Zehang Lin; Zhenguo Yang; Huan Deng; Xingcai Wu; Xudong Mao; Qing Li 001; Wenyin Liu (Vis. Comput., 2022)

Graph convolutional network for difficulty-controllable visual question generation. - Feng Chen; Jiayuan Xie; Yi Cai 001; Zehang Lin; Qing Li 001; Tao Wang 036 (World Wide Web (WWW), 2023)

MixFormer: An End-To-End UAV Image-Matching Network Based on Mixed Attention Mechanism. - Haitao Jia; Shiyi Xu; Jianhua Li; Zehang Lin; Wenbo Xu 004; Li Ren; Jian Li (IGARSS, 2024)

Generalized News Event Discovery via Dynamic Augmentation and Entropy Optimization. - Zehang Lin; Jiayuan Xie; Zhenguo Yang; Yi Yu 001; Qing Li 001 (ACM Multimedia, 2024)

Context-Aware Dynamic Word Embeddings for Aspect Term Extraction. - Jingyun Xu; Jiayuan Xie; Yi Cai 001; Zehang Lin; Ho-fung Leung; Qing Li 001; Tat-Seng Chua (IEEE Trans. Affect. Comput., 2024)

Towards Temporal Event Detection: A Dataset, Benchmarks and Challenges. - Zhenguo Yang; Zhuopan Yang; Zhiwei Guo; Zehang Lin; Haizhong Zhu; Qing Li 001; Wenyin Liu (IEEE Trans. Multim., 2024)

Multi-modal news event detection with external knowledge. - Zehang Lin; Jiayuan Xie; Qing Li 001 (Inf. Process. Manag., 2024)

Multi-modal pre-post treatment consistency learning for automatic segmentation and evaluation of the Circle of Willis. - Zehang Lin; Yusheng Liu; Jiahua Wu; Da-Han Wang; Xu-Yao Zhang; Shunzhi Zhu (Comput. Medical Imaging Graph., 2025)