A probabilistic saliency model with memory-guided top-down cues for free-viewing. - Yan Hua; Zhi-Cheng Zhao 001; Hu Tian; Xin Guo; Anni Cai (ICME, 2013)

Recovering depth of background and foreground from a monocular video with camera motion. - Hu Tian; Bojin Zhuang; Yan Hua; Yanyun Zhao; Anni Cai (VCIP, 2013)

Depth extraction from a single image by sampling based on distance metric learning. - Hu Tian; Bojin Zhuang; Yan Hua; Anni Cai (ICIP, 2014)

An output aggregation system for large scale cross-modal retrieval. - Yan Hua; Jie Shao 014; Hu Tian; Zhi-Cheng Zhao 001; Fei Su; Anni Cai (ICME Workshops, 2014)

Depth inference with convolutional neural network. - Hu Tian; Bojin Zhuang; Yan Hua; Anni Cai (VCIP, 2014)

Cross-modal correlation learning with deep convolutional architecture. - Yan Hua; Hu Tian; Anni Cai; Ping Shi (VCIP, 2015)

Color-guided depth refinement based on edge alignment. - Hu Tian; Fei Li (MMSP, 2016)

Depth estimation with convolutional conditional random field network. - Yan Hua; Hu Tian (Neurocomputing, 2016)

Accurate multi-view stereo by selective expansion. - Hu Tian; Fei Li (3DTV-Conference, 2017)

Color Mapping for 3D Geometric Models without Reference Image Locations. - Fei Li 005; Yunfan Du; Hu Tian; Rujie Liu (DICTA, 2017)

Depth Prediction From a Single Image with 3D Consistency. - Hu Tian; Fei Li (ICIP, 2018)

A Graph-Based Semi-Supervised Fraud Detection Framework. - Rongrong Jing; Xiaolong Zheng 001; Hu Tian; Xingwei Zhang; Weiyun Chen; Desheng Dash Wu; Daniel Dajun Zeng (CYBCONF, 2019)

Semi-supervised Depth Estimation from a Single Image Based on Confidence Learning. - Hu Tian; Fei Li (ICASSP, 2019)

Autoencoder-Based Fabric Defect Detection with Cross- Patch Similarity. - Hu Tian; Fei Li (MVA, 2019)

A Visualization Analysis of China's Leisure Sports Research (P). - Zeng Ji; Hu Tian; Sun Ming (DMSVIVA, 2020)

Improving the Data Quality for Credit Card Fraud Detection. - Rongrong Jing; Hu Tian; Yidi Li; Xingwei Zhang; Xiaolong Zheng 001; Zhu Zhang; Daniel Zeng 001 (ISI, 2020)

Analyzing the Evolutionary Characteristics of the Cluster of COVID-19 under Anti-contagion Policies. - Pu Miao; Hu Tian; Xingwei Zhang; Saike He; Xiaolong Zheng 001; Desheng Dash Wu; Daniel Zeng 001 (ISI, 2020)

A Visualization Analysis of China?s Leisure Sports Research. - Sun Ming; Zeng Ji; Hu Tian (J. Vis. Lang. Comput., 2020)

A GNN-based Few-shot learning model on the Credit Card Fraud detection. - Rongrong Jing; Hu Tian; Gang Zhou; Xingwei Zhang; Xiaolong Zheng 001; Daniel Dajun Zeng (DTPI, 2021)

Analyzing the Hidden Causal Interactions in Large-Scale Social Networks: A Case Study on GameStop. - Gang Zhou; Rongrong Jing; Xiaolong Zheng 001; Xingwei Zhang; Hu Tian; Daniel Dajun Zeng (DTPI, 2021)

∊-k anonymization and adversarial training of graph neural networks for privacy preservation in social networks. - Hu Tian; Xiaolong Zheng 001; Xingwei Zhang; Daniel Dajun Zeng (Electron. Commer. Res. Appl., 2021)

Self-Training Based Semi-Supervised and Semi-Paired Hashing Cross-Modal Retrieval. - Rongrong Jing; Hu Tian; Xingwei Zhang; Gang Zhou; Xiaolong Zheng 001; Daniel Zeng 001 (IJCNN, 2022)

Deep Causal Learning: Representation, Discovery and Inference. - Zizhen Deng; Xiaolong Zheng 001; Hu Tian; Daniel Dajun Zeng (CoRR, 2022)

Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions. - Hu Tian; Xiaolong Zheng 001; Kang Zhao 001; Maggie Wenjing Liu; Daniel Dajun Zeng (INFORMS J. Comput., 2022)

Game Starts at GameStop: Characterizing the Collective Behaviors and Social Dynamics in the Short Squeeze Episode. - Xiaolong Zheng 001; Hu Tian; Zhe Wan; Xiao Wang 002; Daniel Dajun Zeng; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2022)

Characterization of fluid-solid coupled motion of corn seed bends in fluid seeding. - Lang Zhou; Anping Ji; Yun Yu; Gen Zhang; Hu Tian; Guangyao Zhu (ICMML, 2023)

Robust Monitor for Industrial IoT Condition Prediction. - Xingwei Zhang; Hu Tian; Xiaolong Zheng 001; Daniel Dajun Zeng (IEEE Internet Things J., 2023)

Learning Dynamic Dependencies With Graph Evolution Recurrent Unit for Stock Predictions. - Hu Tian; Xingwei Zhang; Xiaolong Zheng 001; Daniel Dajun Zeng (IEEE Trans. Syst. Man Cybern. Syst., 2023)

CGNN: A Compatibility-Aware Graph Neural Network for Social Media Bot Detection. - Haitao Huang; Hu Tian; Xiaolong Zheng 001; Xingwei Zhang; Daniel Dajun Zeng; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Real-Time Adaptive Tractor Ride Comfort Adjustment System Based on Machine Learning Method. - Hu Tian; Anping Ji (IEEE Access, 2025)