课程作业封面模板（Template for Homework）

1. Gongquan Zhang, Shenglin Ma, Mingxing Zheng, Cheng Li, Fangrong Chang, and Fangbing Zhang, 2025. Impact of Digitization and Artificial Intelligence on Carbon Emissions Considering Variable Interaction and Heterogeneity: An Interpretable Deep Learning Modeling Framework. Sustainable Cities and Society, Vol. 125, pp. 106333.
2. Julina Maharjan, Ruoming Jin, Jianfeng Zhu, and Deric Kenne, 2025. Psychometric Evaluation of Large Language Model Embeddings for Personality Trait Prediction. Journal of Medical Internet Research, Vol. 27, pp. e7537.
3. Weimin Huang, Xi Meng, and Junfei Qiao, 2025. Cooperative Dynamic Multiobjective Optimization with Multi-Time-Scale for MSwI Process. IEEE Transactions on Industrial Electronics, Vol. 72, No. 12, pp. 14093-14105.
4. Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, and Qingsong Wen, 2024. Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. Proceedings of the International Conference on Representation Learning.
5. Yufeng Shen, Xueling Ma, Yukun Bao, Gang Kou, and Jianming Zhan, 2025. A Consensus Method based on Reinforcement Learning for Group Decision-Making. European Journal of Operational Research.
6. Shaoqing Lv, Chichi Wang, Ju Xiang, Zhiqiang Bao, and Min Li, 2025. Boosting Knowledge Graph with Diverse-Aware Intent Inference for Recommendations. Neural Networks, Vol. 192, pp. 107914.
7. Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, and Bin Yang, 2025. DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting. Proceedings of the 31th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 1185-1196.
8. Yifan Yu, Yang Yang, Jinghua Huang, and Yong Tan, 2023. Unifying Algorithmic and Theoretical Perspectives: Emotions in Online Reviews and Sales. MIS Quanterly, Vol. 47, No. 1, pp. 127-160.
9. Donghun Lee, Jmin Go, Taehyun Noh, and Seokwoo Song, 2025. Multi-Feature Representation-based Graph Attention Networks for Predicting Potential Supply Relationships in a Large-Scale Supply Chain Network. Expert Systems with Applications, Vol. 292, pp. 128593.
10. 胡楠，薛付婧，王昊楠，2021. 管理者短视主义影响企业长期投资吗？——基于文本分析和机器学习. 管理世界，No. 5，pp. 139-156.
11. Gorana Mijatovic, Yuri Antonacci, Michal Javorka, Daniele Marinazzo, Sebastiano Stramaglia, and Luca Faes. Network Representation of Higher-Order Interactions based on Information Dynamics. IEEE Transactions on Network Science and Engineering, Vol. 12, No. 3, pp. 1872-1884.
12. Ningyu Xu, Qi Zhang, Chao Du, Qiang Luo, Xipeng Qiu, Xuanjing Huang, and Menghan Zhang, 2025. Revealing Emergent Human-Like Conceptual Representations from Language Prediction. PNAS, Vol. 122, No. 44, pp. e2512514122.
13. Divya Gangwani and Xingquan Zhu, 2024. Modeling and Prediction of Business Success: A Survey. Artificial Intelligence Review, Vol. 57, pp. 44.
14. Dongbo Shi and Sherry T. Tong, 2025. An Open Dataset of Chinese Name-to-Gender Associations for Gender Prediction in Broad Scientific Research. Scientific Data, Vol. 12, pp. 1962.
15. Zhichao Ba, Kai Meng, Leilei Liu, and Yujie Zhang, 2025. How Science-Technology Interactions Affect Technological Innovation: The Moderating Role of Topic Divergence. Humanities & Social Sciences Communications, Vol. 12, pp. 1849.
16. N. Di Marco, Edoardo Loru, Anita Bonetti, Alessandra Olga Grazia Serra, Matteo Cinelli, and Walter Quanttrociocchi, 2024. Patterns of Linguistic Simplification on Social Media Platforms over Time. PNAS, Vol. 121, No. 50, pp. e2412105121.
17. Si Zhang, Jiali Xu, Ning Hui, and Peiyun Zhai, 2025. A Short Text Topic Modeling Method based on Integrating Gaussian and Logistic Coding Networks with Pre-trained Word Embeddings. Neurocomputing, Vol. 616, pp. 128941.
18. Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, and Xiangliang Zhang, 2023. Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs. Proceedings of the 16th ACM International Conference on Web Search and Data Mining, pp. 321-329.