Guojun Wu

According to our database, Guojun Wu authored at least 16 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution.

Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher G. Brinton, Zhenming Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

DNet: Distributional Network for Distributional Individualized Treatment Effects.

Guojun Wu, Ge Song, Xiaoxiang Lv, Shikai Luo, Chengchun Shi, Hongtu Zhu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Development and Design of Electronic Information Management System Based on Internet of Things Technology.

Lin Li, Guojun Wu

Proceedings of the 2023 10th International Conference on Wireless Communication and Sensor Networks, 2023

ICU: Conquering Language Barriers in Vision-and-Language Modeling by Dividing the Tasks into Image Captioning and Language Understanding.

Guojun Wu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Representations of Domains via CF-approximation Spaces.

Guojun Wu, Luoshan Xu

Proceedings of the 9th International Symposium on Domain Theory and Its Applications, 2022

2021

Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data.

Yichen Ding, Xun Zhou, Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo

IEEE Trans. Knowl. Data Eng., 2021

Rating Facts under Coarse-to-fine Regimes.

Guojun Wu

CoRR, 2021

SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization.

Ziming Zhang, Yun Yue, Guojun Wu, Yanhua Li, Haichong K. Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System.

Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction.

Guojun Wu, Yanhua Li, Shikai Luo, Ge Song, Qichao Wang, Jing He, Jieping Ye, Xiaohu Qie, Hongtu Zhu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Comparative Analysis of Diagnostic Value for Shear Wave Elastography and Real-Time Elastographic Imaging for Thyroid Nodules.

Qing Yang, Wenhong Zhou, Jiyu Li, Guojun Wu, Feng Ding, Xingsong Tian

J. Medical Imaging Health Informatics, 2019

Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle.

Guojun Wu, Yanhua Li, Zhenming Liu, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo

CoRR, 2019

Transforming Policy via Reward Advancement.

Guojun Wu, Yanhua Li, Jun Luo

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Human-Centric Urban Transit Evaluation and Planning.

Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data.

Guojun Wu, Yichen Ding, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Data-driven inverse learning of passenger preferences in urban public transits.

Guojun Wu, Yichen Ding, Yanhua Li, Jun Luo, Fan Zhang, Jie Fu

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017