Guojun Wu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Inverse Reinforcement Learning

Expected Reward

Recurrent Neural Networks

Top Venues

Publications

Guojun Wu, Qinghao Guan
Team lm-detector at PAN: Can NLI be an Appropriate Approach to Machine-Generated Text Detection. CLEF (Working Notes) (2024)
Guojun Wu, Shay B. Cohen, Rico Sennrich
Evaluating Automatic Metrics with Incremental Machine Translation Systems. CoRR (2024)
Guojun Wu, Ge Song, Xiaoxiang Lv, Shikai Luo, Chengchun Shi, Hongtu Zhu
DNet: Distributional Network for Distributional Individualized Treatment Effects. KDD (2023)
Lin Li, Guojun Wu
Development and Design of Electronic Information Management System Based on Internet of Things Technology. icWCSN (2023)
Guojun Wu
ICU: Conquering Language Barriers in Vision-and-Language Modeling by Dividing the Tasks into Image Captioning and Language Understanding. CoRR (2023)
Guojun Wu
ICU: Conquering Language Barriers in Vision-and-Language Modeling by Dividing the Tasks into Image Captioning and Language Understanding. EMNLP (Findings) (2023)
Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher G. Brinton, Zhenming Liu
Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution. WACV (2023)
Guojun Wu, Luoshan Xu
Representations of Domains via CF-approximation Spaces. CoRR (2022)
Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou
Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. ICDM (2021)
Guojun Wu
Rating Facts under Coarse-to-fine Regimes. CoRR (2021)
Ziming Zhang, Yun Yue, Guojun Wu, Yanhua Li, Haichong K. Zhang
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization. NeurIPS (2021)
Yichen Ding, Xun Zhou, Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo
Mining Spatio-Temporal Reachable Regions With Multiple Sources over Massive Trajectory Data. IEEE Trans. Knowl. Data Eng. 33 (7) (2021)
Guojun Wu, Yanhua Li, Shikai Luo, Ge Song, Qichao Wang, Jing He, Jieping Ye, Xiaohu Qie, Hongtu Zhu
A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction. CIKM (2020)
Guojun Wu, Yanhua Li, Jun Luo
Transforming Policy via Reward Advancement. CDC (2019)
Qing Yang, Wenhong Zhou, Jiyu Li, Guojun Wu, Feng Ding, Xingsong Tian
Comparative Analysis of Diagnostic Value for Shear Wave Elastography and Real-Time Elastographic Imaging for Thyroid Nodules. J. Medical Imaging Health Informatics 9 (2) (2019)
Guojun Wu, Yanhua Li, Zhenming Liu, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo
Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle. CoRR (2019)
Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo
Human-Centric Urban Transit Evaluation and Planning. ICDM (2018)
Guojun Wu, Yichen Ding, Yanhua Li, Jun Luo, Fan Zhang, Jie Fu
Data-driven inverse learning of passenger preferences in urban public transits. CDC (2017)
Guojun Wu, Yichen Ding, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo
Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data. ICDE (2017)