Overview
Background
I am a research fellow working with Professor Geoffrey J. McLachlan on semi-supervised learning, specifically investigating missingness mechanisms and mixture modelling.
Availability
- Dr Jinran Wu is:
- Available for supervision
Qualifications
- Doctor of Philosophy of Statistics, Queensland University of Technology
Works
Search Professor Jinran Wu’s works on UQ eSpace
2026
Journal Article
Reciprocal development of depression and self-efficacy in adolescence: a longitudinal twin study
Nguyen, Thi L., Guo, Jiesi, Klatzka, Christoph H., Teuber, Ziwen, Dicke, Theresa, Wu, Jinran and Marsh, Herbert W. (2026). Reciprocal development of depression and self-efficacy in adolescence: a longitudinal twin study. Journal of Affective Disorders, 414 122355, 1-11. doi: 10.1016/j.jad.2026.122355
2026
Journal Article
Eco-efficiency analysis of China’s eight comprehensive economic zones: evidence from a two-stage NSBM approach
Li, Shanru, Xu, Xu, Xu, Wensi, Qu, Haocheng, Xu, Xinrui, Zhang, Yixiang, Ni, Qing-He, Li, Tong, Wu, Jinran and Wang, You-Gan (2026). Eco-efficiency analysis of China’s eight comprehensive economic zones: evidence from a two-stage NSBM approach. Physics and Chemistry of the Earth, Parts A/B/C, 144 (Part 1) 104455, 1-18. doi: 10.1016/j.pce.2026.104455
2026
Journal Article
Rapid rapeseed identification with dual-graph discriminant analysis in hyperspectral imaging
Zou, Chaojun, Wang, Fang, Wu, Jinran, Wang, You-Gan and Zhu, Xinghui (2026). Rapid rapeseed identification with dual-graph discriminant analysis in hyperspectral imaging. Chemometrics and Intelligent Laboratory Systems, 277 105813, 1-12. doi: 10.1016/j.chemolab.2026.105813
2026
Journal Article
Mapping soil organic carbon research in conservation agriculture: a systematic review
Liu, Qingyang, Tian, Xin, Dalal, Ram C., Wu, Jinran, Xia, Anquan, Wu, Xiaoxuan, Li, Tong, McLachlan, Geoffrey J., Chapman, Scott and Dang, Yash P. (2026). Mapping soil organic carbon research in conservation agriculture: a systematic review. Farming System, 4 (4) 100241, 1-11. doi: 10.1016/j.farsys.2026.100241
2026
Journal Article
Mid-Infrared spectroscopy for soil organic carbon estimation. Part I: Global review and meta-analysis
Li, Tong, Xia, Anquan, Dalal, Ram C., Manning, Sean, Beniwal, Deeksha, Xu, Zhihong, Pandey, Rajiv, Cui, Lizhen, Chen, Songchao, Fu, Peng, Xia, Yushu, Wu, Jinran, Wang, Yanfen and Dang, Yash P. (2026). Mid-Infrared spectroscopy for soil organic carbon estimation. Part I: Global review and meta-analysis. Soil and Tillage Research, 262 107236, 1-14. doi: 10.1016/j.still.2026.107236
2026
Journal Article
Distinguishing knowledge mapping from biophysical evidence: A Rejoinder to "Comment on 'Mapping Soil Organic Carbon Research in Conservation Agriculture'"
Liu, Qingyang, Tian, Xin, Dalal, Ram C., Wu, Jinran, Xia, Anquan, Wu, Xiaoxuan, Li, Tong, McLachlan, Geoffrey J., Chapman, Scott and Dang, Yash P. (2026). Distinguishing knowledge mapping from biophysical evidence: A Rejoinder to "Comment on 'Mapping Soil Organic Carbon Research in Conservation Agriculture'". Farming System, 4 (4) 100255, 1-4. doi: 10.1016/j.farsys.2026.100255
2026
Journal Article
Mid-infrared spectroscopy for soil organic carbon estimation. Part II: evaluating preprocessing at global and national scales
Li, Tong, Beniwal, Deeksha, Dalal, Ram C., Manning, Sean, Fu, Peng, Xia, Anquan, Wu, Jinran, Liu, Qingyang, Filipović, Vilim, Tsiminis, Georgios and Dang, Yash P. (2026). Mid-infrared spectroscopy for soil organic carbon estimation. Part II: evaluating preprocessing at global and national scales. Soil and Tillage Research, 262 107237. doi: 10.1016/j.still.2026.107237
2026
Journal Article
Multi-indicator water-quality prediction in mining areas using a Feature-Tokenizer transformer with spatiotemporal features
Liu, Zihan, Sui, Xiang, Lyu, Xianzhou, An, Xiaobiao, Wu, Jinran, Lu, Yuchen and Zhang, Weijie (2026). Multi-indicator water-quality prediction in mining areas using a Feature-Tokenizer transformer with spatiotemporal features. Environmental Research, 306 (Part 2) 125210, 1-17. doi: 10.1016/j.envres.2026.125210
2026
Journal Article
Accurately modelling the resting-state functional connectivity with eigen-based connected-graph diffusion model
Ma, Jichao, Luo, Jiebin, Liu, Dandan, Wu, Jinran, Wang, Yanjiang and Li, Xi’an (2026). Accurately modelling the resting-state functional connectivity with eigen-based connected-graph diffusion model. Engineering Applications of Artificial Intelligence, 178 (Part 1) 115091, 1-11. doi: 10.1016/j.engappai.2026.115091
2026
Journal Article
Beyond carbon measurement: turning agricultural carbon into credible climate action
Li, Tong, Tian, Xin, Dalal, Ram C., Kyriazopoulos, Apostolos, Sharififar, Amin, Xia, Anquan, Pandey, Rajiv, Fu, Peng, Bolan, Nanthi, Wu, Jinran, McLachlan, Geoffrey J., Choi, Woo-Jung, Xu, Zhihong, Wang, Yanfen, Fu, Bojie, Filipović, Vilim, Chapman, Scott, Dang, Yash P. and Camps-Valls, Gustau (2026). Beyond carbon measurement: turning agricultural carbon into credible climate action. The Innovation, 7 (9) 101531, 1-2. doi: 10.1016/j.xinn.2026.101531
2026
Journal Article
Microseismic source localization and application based on the attention-based deep feedforward neural network model
Tian, Zhuangcai, Tian, Jiahao, Hua, Sen, Yu, Liyuan, Jing, Hongwen and Wu, Jinran (2026). Microseismic source localization and application based on the attention-based deep feedforward neural network model. Engineering Applications of Artificial Intelligence, 177 (Part 2) 114982, 114982. doi: 10.1016/j.engappai.2026.114982
2026
Journal Article
Forest origin reorganizes environmental control of soil microbial diversity across natural and planted forests
Zhang, Xing, Wu, Jinran, Wang, Jingwen, Li, Tong, Fan, Yuchuan, Liu, Weiguo and Gao, Jie (2026). Forest origin reorganizes environmental control of soil microbial diversity across natural and planted forests. Ecological Indicators, 189 (Mach. Learn. 45 1 2001) 115086, 1-10. doi: 10.1016/j.ecolind.2026.115086
2026
Journal Article
AI for science: progress, challenges, and perspectives
Xu, Yongjun, Shao, Zezhi, Liu, Xin, Li, Yuquan, An, Zhulin, Fu, Chenguang, Huang, Changping, Zhang, Lin, Gao, Feng, Li, Jian, Li, Yuyang, Yao, Fanglong, Xia, Anquan, Chen, Kaihua, Zheng, Xiaolong, Yang, Chuanguang, Huang, Libo, Dong, Fengliang, Yao, Shanliang, Zhang, Zhao, Wang, Jue, Wang, Qi, Wang, Yuanzhuo, Li, Haisheng, Xiao, Nachuan, Wang, Yuyang, Feng, Guoshuang, Lai, Puxiang, Song, Yuxuan ... Zhang, Jiabao (2026). AI for science: progress, challenges, and perspectives. The Innovation 101530, 101530. doi: 10.1016/j.xinn.2026.101530
2026
Journal Article
Mapping the evolving landscape of AI literacy research: an integrative review combining bibliometric analysis and thematic synthesis
Zheng, Hao, Han, Feifei, Yang, Hailiang, Xu, Jun, Wu, Yonghe, Wu, Jinran and Li, Tong (2026). Mapping the evolving landscape of AI literacy research: an integrative review combining bibliometric analysis and thematic synthesis. Behaviour and Information Technology, 1-35. doi: 10.1080/0144929x.2026.2711024
2026
Journal Article
A spatial–temporal normalization framework for Fourier-enhanced physics-informed deep learning in large-scale wave propagation
Ma, Jichao, Liu, Dandan, Li, Xi’an, Li, Yayong and Wu, Jinran (2026). A spatial–temporal normalization framework for Fourier-enhanced physics-informed deep learning in large-scale wave propagation. Discover Computing, 29 (1) 477, 1-24. doi: 10.1007/s10791-026-10388-3
2026
Conference Publication
Hierarchical cluster-based open-world graph active learning
Li, Yayong, Du, Zhengyi, Zhang, Hong, Wilton, Jonathan, Wu, Jinran, Liu, Zongli and Ye, Nan (2026). Hierarchical cluster-based open-world graph active learning. 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, Melbourne, VIC Australia, 20-24 July 2026. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3805712.3809744
2026
Journal Article
Grain yield loss caused by Fusarium crown rot was mainly due to reduced numbers of fertile tillers in barley
Zheng, Zhi, Liu, Siyuan, Han, Haohui, Gao, Shang, Chhetri, Mumta, Wu, Jinran, Ma, Jun, Wang, You-Gan, Fu, Liya, Li, Weide, Hu, Haiyan and Liu, Chunji (2026). Grain yield loss caused by Fusarium crown rot was mainly due to reduced numbers of fertile tillers in barley. Farming System 100256, 100256. doi: 10.1016/j.farsys.2026.100256
2026
Journal Article
Nonlinear biogeographic responses and threshold patterns in vegetative versus reproductive traits across China's ecosystems
Su, Jianxiao, Zheng, Yujuan, Zhang, Le, Wang, Jingwen, Zhong, Chengguang, Du, Xiaoxuan, Wu, Jinran, Li, Tong, Gao, Jie and Fan, Yuchuan (2026). Nonlinear biogeographic responses and threshold patterns in vegetative versus reproductive traits across China's ecosystems. Journal of Environmental Management, 413 130315, 1-11. doi: 10.1016/j.jenvman.2026.130315
2026
Journal Article
Signal Plus Noise Type Matrix in Random Matrix Theory: A Review
Zhou, Huanchao, Wang, Fang, Wang, You‐Gan, Wu, Jinran, Hu, Jiang, McLachlan, Geoffrey J., Bai, Zhidong and Li, Jianghao (2026). Signal Plus Noise Type Matrix in Random Matrix Theory: A Review. WIREs Computational Statistics, 18 (3) e70071, 1-20. doi: 10.1002/wics.70071
2026
Journal Article
Physics-informed neural networks help to strongly reduce uncertainty in ocean state forecasting
Chen, Tian, Tian, Zhuangcai, Li, Xi'an, Wu, Jingxin, Guo, Xiujun, Zhang, Yumeng, Wang, Haorui and Wu, Jinran (2026). Physics-informed neural networks help to strongly reduce uncertainty in ocean state forecasting. The Innovation Informatics 100051, 1-2. doi: 10.59717/j.xinn-inform.2026.100051
Supervision
Availability
- Dr Jinran Wu is:
- Available for supervision
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