Hu Tian

32 papers A 1B 3C 6Misc 3Journal 12Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep Causal Learning: Representation, Discovery and Inference.
ACM Comput. Surv.
Zizhen Deng, Hu Tian, Xiaolong Zheng, Daniel Dajun Zeng
2025 J jnl
Graph Representation Learning of Multilayer Spatial-Temporal Networks for Stock Predictions.
IEEE Trans. Comput. Soc. Syst.
Hu Tian, Xingwei Zhang, Xiaolong Zheng, Zili Zhang, Daniel Dajun Zeng
2025 J jnl
Real-Time Adaptive Tractor Ride Comfort Adjustment System Based on Machine Learning Method.
IEEE Access
Hu Tian, Anping Ji
2024 J jnl
CGNN: A Compatibility-Aware Graph Neural Network for Social Media Bot Detection.
IEEE Trans. Comput. Soc. Syst.
Haitao Huang, Hu Tian, Xiaolong Zheng, Xingwei Zhang, Daniel Dajun Zeng, Fei-Yue Wang
2023 — conf
Characterization of fluid-solid coupled motion of corn seed bends in fluid seeding.
ICMML
Lang Zhou, Anping Ji, Yun Yu, Gen Zhang, Hu Tian, Guangyao Zhu
2023 J jnl
Learning Dynamic Dependencies With Graph Evolution Recurrent Unit for Stock Predictions.
IEEE Trans. Syst. Man Cybern. Syst.
Hu Tian, Xingwei Zhang, Xiaolong Zheng, Daniel Dajun Zeng
2023 J jnl
Robust Monitor for Industrial IoT Condition Prediction.
IEEE Internet Things J.
Xingwei Zhang, Hu Tian, Xiaolong Zheng, Daniel Dajun Zeng
2022 J jnl
Deep Causal Learning: Representation, Discovery and Inference.
CoRR
Zizhen Deng, Xiaolong Zheng, Hu Tian, Daniel Dajun Zeng
2022 J jnl
Game Starts at GameStop: Characterizing the Collective Behaviors and Social Dynamics in the Short Squeeze Episode.
IEEE Trans. Comput. Soc. Syst.
Xiaolong Zheng, Hu Tian, Zhe Wan, Xiao Wang, Daniel Dajun Zeng, Fei-Yue Wang
2022 J jnl
Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions.
INFORMS J. Comput.
Hu Tian, Xiaolong Zheng, Kang Zhao, Maggie Wenjing Liu, Daniel Dajun Zeng
2022 B conf
Self-Training Based Semi-Supervised and Semi-Paired Hashing Cross-Modal Retrieval.
IJCNN
Rongrong Jing, Hu Tian, Xingwei Zhang, Gang Zhou, Xiaolong Zheng, Daniel Zeng
2021 — conf
A GNN-based Few-shot learning model on the Credit Card Fraud detection.
DTPI
Rongrong Jing, Hu Tian, Gang Zhou, Xingwei Zhang, Xiaolong Zheng, Daniel Dajun Zeng
2021 — conf
Analyzing the Hidden Causal Interactions in Large-Scale Social Networks: A Case Study on GameStop.
DTPI
Gang Zhou, Rongrong Jing, Xiaolong Zheng, Xingwei Zhang, Hu Tian, Daniel Dajun Zeng
2021 J jnl
∊-k anonymization and adversarial training of graph neural networks for privacy preservation in social networks.
Electron. Commer. Res. Appl.
Hu Tian, Xiaolong Zheng, Xingwei Zhang, Daniel Dajun Zeng
2020 — conf
A Visualization Analysis of China's Leisure Sports Research (P).
DMSVIVA
Zeng Ji, Hu Tian, Sun Ming
2020 J jnl
A Visualization Analysis of China?s Leisure Sports Research.
J. Vis. Lang. Comput.
Sun Ming, Zeng Ji, Hu Tian
2020 C conf
Analyzing the Evolutionary Characteristics of the Cluster of COVID-19 under Anti-contagion Policies.
ISI
Pu Miao, Hu Tian, Xingwei Zhang, Saike He, Xiaolong Zheng, Desheng Dash Wu, Daniel Zeng
2020 C conf
Improving the Data Quality for Credit Card Fraud Detection.
ISI
Rongrong Jing, Hu Tian, Yidi Li, Xingwei Zhang, Xiaolong Zheng, Zhu Zhang, Daniel Zeng
2019 — conf
A Graph-Based Semi-Supervised Fraud Detection Framework.
CYBCONF
Rongrong Jing, Xiaolong Zheng, Hu Tian, Xingwei Zhang, Weiyun Chen, Desheng Dash Wu, Daniel Dajun Zeng
2019 Misc conf
Autoencoder-Based Fabric Defect Detection with Cross- Patch Similarity.
MVA
Hu Tian, Fei Li
2019 Misc conf
Semi-supervised Depth Estimation from a Single Image Based on Confidence Learning.
ICASSP
Hu Tian, Fei Li
2018 B conf
Depth Prediction From a Single Image with 3D Consistency.
ICIP
Hu Tian, Fei Li
2017 — conf
Accurate multi-view stereo by selective expansion.
3DTV-Conference
Hu Tian, Fei Li
2017 Misc conf
Color Mapping for 3D Geometric Models without Reference Image Locations.
DICTA
Fei Li, Yunfan Du, Hu Tian, Rujie Liu
2016 C conf
Color-guided depth refinement based on edge alignment.
MMSP
Hu Tian, Fei Li
2016 J jnl
Depth estimation with convolutional conditional random field network.
Neurocomputing
Yan Hua, Hu Tian
2015 C conf
Cross-modal correlation learning with deep convolutional architecture.
VCIP
Yan Hua, Hu Tian, Anni Cai, Ping Shi
2014 — conf
An output aggregation system for large scale cross-modal retrieval.
ICME Workshops
Yan Hua, Jie Shao, Hu Tian, Zhi-Cheng Zhao, Fei Su, Anni Cai
2014 B conf
Depth extraction from a single image by sampling based on distance metric learning.
ICIP
Hu Tian, Bojin Zhuang, Yan Hua, Anni Cai
2014 C conf
Depth inference with convolutional neural network.
VCIP
Hu Tian, Bojin Zhuang, Yan Hua, Anni Cai
2013 A conf
A probabilistic saliency model with memory-guided top-down cues for free-viewing.
ICME
Yan Hua, Zhi-Cheng Zhao, Hu Tian, Xin Guo, Anni Cai
2013 C conf
Recovering depth of background and foreground from a monocular video with camera motion.
VCIP
Hu Tian, Bojin Zhuang, Yan Hua, Yanyun Zhao, Anni Cai