Scholar
Weizhi Nie
Google Scholar ID: aNwEZxkAAAAJ
Tianjin University
Citations & Impact
Citations
3,977
H-index
34
i10-index
105
Publications
20
Co-authors
9
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Representative Papers:
- 1. Nie, Weizhi, et al. 'T2TD: Text-3D generation model based on prior knowledge guidance.' IEEE Transactions on Pattern Analysis and Machine Intelligence (2024).
- 2. Xu, Z., Li, Q., Nie, W. eizhi., Wang, W. and Liu, A., 2025. Structure Causal Models and LLMs Integration in Medical Visual Question Answering. IEEE Transactions on Medical Imaging.
- 3. Li, Q., Wang, S., Zhang, W., Bai, S., Nie, W. eizhi. and Liu, A., 2025. DCDL: Dual Causal Disentangled Learning for Zero-Shot Sketch-Based Image Retrieval. IEEE Transactions on Multimedia.
- 4. Nie, Weizhi, Chuanqi Jiao, Rihao Chang, Lei Qu, and An-An Liu. 'CPG3D: Cross-modal Priors Guided 3D Object Reconstruction.' IEEE Transactions on Multimedia (2023).
- 5. Nie, Weizhi, Yuru Bao, Yue Zhao, and Anan Liu. 'Long dialogue emotion detection based on commonsense knowledge graph guidance.' IEEE Transactions on Multimedia (2023).
- 6. Nie Weizhi, Anan Liu, Sicheng Zhao, Yue Gao, 'Deep Correlated Joint Networks for 2D Image-Based 3D Model Retrieval', IEEE Transactions on Cybernetics (2020). (SCI Zone 1)
- 7. Nie, Weizhi, Yan Wang, Song Yang, Anan Liu, Yongdong Zhang, 'Cross-media information retrieval algorithm based on cyclic generative adversarial networks', China MM, 2020, Best Paper.
- Main Research Projects:
- 1. National Key R&D Program: 'Collaborative Platform for the Entire Life Cycle Value Chain of Complex Products'
- 2. National Natural Science Foundation: 'Research and Application Methods of 3D Model Retrieval Based on Cross-modal Representation'
- 3. National Natural Science Foundation: 'Research on 3D Model Retrieval Methods Based on Hypergraphs'
- 4. National Natural Science Foundation: 'Research on 3D Model Retrieval Algorithms Based on Deep Learning'
- 5. Tianjin Natural Science Foundation: 'Research on Large-Scale 3D Model Retrieval Algorithms Based on Graph Matching'
- 6. Major Special Project of New Generation Artificial Intelligence Technology in Tianjin: 'Intelligent Parsing Methods for Multi-granularity Visual Surveillance Data'
- Main Honors and Awards:
- 1. First place in the 2023-2024 International TREC Medical Video Question Answering and Localization Competition
- 2. Special Prize for Scientific and Technological Progress in Tianjin in 2022
- 3. Young Outstanding Talent in Innovation Promotion Plan in Tianjin in 2020
- 4. Excellent Supervisor for Undergraduate and Graduate Thesis Design
- 5. Second Prize for Scientific and Technological Progress in Tianjin in 2019
- 6. Second Prize for Scientific and Technological Progress in Tianjin in 2020
- 7. Second Prize for Technical Invention by the China Navigation Society in 2021
- 8. Second place globally in the 2020 Alibaba Tianchi Cross-modal Information Retrieval Competition (2/355)
- 9. Second place in the 2020 People's Daily Weibo Popularity AI Prediction Challenge
Education
- No specific educational background information provided, such as degrees, schools, or advisors.
Background
- Professor/Master's Supervisor/Ph.D. Supervisor, specializing in information and signal processing. Research interests include smart healthcare, auxiliary diagnosis, large models, multimedia information analysis, and cross-media information retrieval.
Miscellany
- Main Courses Taught:
- 1. Signals and Systems (Basic Professional Course) at Tianjin University
- 2. Theory and Applications of Deep Learning (Graduate Professional Course) at Tianjin University
- 3. Theory and Applications of Big Data (Undergraduate Elective Course) at Tianjin University
