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ORCIDGuojun Wu
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2020 – today
- 2024
[c14]Guojun Wu, Qinghao Guan:
Team lm-detector at PAN: Can NLI be an Appropriate Approach to Machine-Generated Text Detection. CLEF (Working Notes) 2024: 2956-2962- [c13]Guojun Wu, Shay B. Cohen, Rico Sennrich:
Evaluating Automatic Metrics with Incremental Machine Translation Systems. EMNLP (Findings) 2024: 2994-3005 - [i4]Guojun Wu, Shay B. Cohen, Rico Sennrich:
Evaluating Automatic Metrics with Incremental Machine Translation Systems. CoRR abs/2407.03277 (2024) - 2023
- [c12]Guojun Wu:
ICU: Conquering Language Barriers in Vision-and-Language Modeling by Dividing the Tasks into Image Captioning and Language Understanding. EMNLP (Findings) 2023: 14740-14746 - [c11]Lin Li
, Guojun Wu:
Development and Design of Electronic Information Management System Based on Internet of Things Technology. icWCSN 2023: 51-55 - [c10]Guojun Wu, Ge Song, Xiaoxiang Lv, Shikai Luo, Chengchun Shi, Hongtu Zhu:
DNet: Distributional Network for Distributional Individualized Treatment Effects. KDD 2023: 5215-5224 - [c9]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: 3847-3857 - [i3]Guojun Wu:
ICU: Conquering Language Barriers in Vision-and-Language Modeling by Dividing the Tasks into Image Captioning and Language Understanding. CoRR abs/2310.12531 (2023) - 2022
- [c8]Guojun Wu, Luoshan Xu:
Representations of Domains via CF-approximation Spaces. ISDT 2022 - 2021
- [j2]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): 2930-2942 (2021) - [c7]Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou:
Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. ICDM 2021: 966-975 - [c6]Ziming Zhang, Yun Yue, Guojun Wu, Yanhua Li, Haichong K. Zhang:
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization. NeurIPS 2021: 25839-25851 - [i2]Guojun Wu:
Rating Facts under Coarse-to-fine Regimes. CoRR abs/2107.06051 (2021) - 2020
- [c5]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: 2805-2812
2010 – 2019
- 2019
- [j1]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): 334-338 (2019) - [c4]Guojun Wu, Yanhua Li, Jun Luo:
Transforming Policy via Reward Advancement. CDC 2019: 4609-4614 - [i1]Guojun Wu, Yanhua Li, Zhenming Liu, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo:
Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle. CoRR abs/1907.05390 (2019) - 2018
- [c3]Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo:
Human-Centric Urban Transit Evaluation and Planning. ICDM 2018: 547-556 - 2017
- [c2]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: 5068-5073 - [c1]Guojun Wu, Yichen Ding, Yanhua Li, Jie Bao, Yu Zheng, Jun Luo:
Mining Spatio-Temporal Reachable Regions over Massive Trajectory Data. ICDE 2017: 1283-1294
Coauthor Index
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