Research on IT outsourcing based on IT systems management. - Hongxun Jiang; Du Honglu; Ye Xiang; Su Jun (ICEC, 2006)

Incremental Learning Using Conditional Adversarial Networks. - Ye Xiang; Ying Fu 001; Pan Ji; Hua Huang 001 (ICCV, 2019)

Global relative position space based pooling for fine-grained vehicle recognition. - Ye Xiang; Ying Fu 001; Hua Huang 001 (Neurocomputing, 2019)

Global Topology Constraint Network for Fine-Grained Vehicle Recognition. - Ye Xiang; Ying Fu 001; Hua Huang 001 (IEEE Trans. Intell. Transp. Syst., 2020)

Counterfactual Embedding Learning for Debiased Recommendation†. - Meng Jian; Jingjing Guo; Ye Xiang; Lifang Wu (BigMM, 2021)

Part-Aware Spatial-Temporal Graph Convolutional Network for Group Activity Recognition. - Qi Wang 076; Xianglong Lang; Ye Xiang; Lifang Wu (CICAI, 2021)

Semantic Guided Multi-directional Mixed-Color 3D Printing. - Lifang Wu; Tianqin Yang; Yupeng Guan; Ge Shi 002; Ye Xiang; Yisong Gao (ICIG (3), 2021)

GLM-Net: Global and Local Motion Estimation via Task-Oriented Encoder-Decoder Structure. - Yuchen Yang; Ye Xiang; Shuaicheng Liu; Lifang Wu; Boxuan Zhao; Bing Zeng (ACM Multimedia, 2021)

Relation-Guided Actor Attention for Group Activity Recognition. - Lifang Wu; Qi Wang 076; Zeyu Li; Ye Xiang; Xianglong Lang (PRCV (1), 2021)

Attribute-Level Interest Matching Network for Personalized Recommendation. - Ran Yang; Meng Jian; Ge Shi 002; Lifang Wu; Ye Xiang (PRCV (2), 2021)

Latent label mining for group activity recognition in basketball videos. - Lifang Wu; Zeyu Li; Ye Xiang; Meng Jian; Jialie Shen 001 (IET Image Process., 2021)

SimEmotion: A Simple Knowledgeable Prompt Tuning Method for Image Emotion Classification. - Sinuo Deng; Ge Shi 002; Lifang Wu; Lehao Xing; Wenjin Hu 002; Heng Zhang; Ye Xiang (DASFAA (3), 2022)

Part Based Interaction Learning for Group Activity Recognition. - Meng Tian; Xianglong Lang; Ye Xiang; Yan Huang 008; Lifang Wu; Yunxiang Li (MMSP, 2022)

Multi-Perspective Representation to Part-Based Graph for Group Activity Recognition. - Lifang Wu; Xianglong Lang; Ye Xiang; Qi Wang 076; Meng Tian (Sensors, 2022)

Improved Dual Attention for Anchor-Free Object Detection. - Ye Xiang; Boxuan Zhao; Kuan Zhao; Lifang Wu; Xiangdong Wang (Sensors, 2022)

Graph Contrastive Learning on Complementary Embedding for Recommendation. - Meishan Liu; Meng Jian; Ge Shi 002; Ye Xiang; Lifang Wu (ICMR, 2023)

Simple But Powerful, a Language-Supervised Method for Image Emotion Classification. - Sinuo Deng; Lifang Wu; Ge Shi 002; Lehao Xing; Wenjin Hu 002; Heng Zhang; Ye Xiang (IEEE Trans. Affect. Comput., 2023)

Active Spatial Positions Based Hierarchical Relation Inference for Group Activity Recognition. - Lifang Wu; Xianglong Lang; Ye Xiang; Changwen Chen; Zun Li 001; Zhuming Wang (IEEE Trans. Circuits Syst. Video Technol., 2023)

Exploring Spatio-Temporal Discriminative Cues for Group Activity Recognition Via Contrastive Learning. - Meng Tian; Ye Xiang; Lifang Wu (ICASSP, 2024)

GLOCAL: A self-supervised learning framework for global and local motion estimation. - Yihao Zheng; Kunming Luo; Shuaicheng Liu; Zun Li 001; Ye Xiang; Lifang Wu; Bing Zeng; Chang Wen Chen (Pattern Recognit. Lett., 2024)

Learning Label Semantics for Weakly Supervised Group Activity Recognition. - Lifang Wu; Meng Tian; Ye Xiang; Ke Gu 001; Ge Shi 002 (IEEE Trans. Multim., 2024)

Learning to compose diversified prompts for image emotion classification. - Sinuo Deng; Lifang Wu; Ge Shi 002; Lehao Xing; Meng Jian; Ye Xiang; Ruihai Dong (Comput. Vis. Media, 2024)

Multi-scale motion-based relational reasoning for group activity recognition. - Yihao Zheng; Zhuming Wang; Ke Gu; Lifang Wu; Zun Li 001; Ye Xiang (Eng. Appl. Artif. Intell., 2025)