| 2026 | ACL | Cogito: A Cognitive Agentic Framework Driven by Dynamic Graph of Thoughts for Financial Report Generation. | Lifan Chen, Wei Ding, Jingwen Yang, Xiuze Zhou, Jingan Chen, Fan Lin |
| 2025 | ACL | Diagnosing Failures in Large Language Models' Answers: Integrating Error Attribution into Evaluation Framework. | Zishan Xu, Shuyi Xie, Qingsong Lv, Shupei Xiao, Linlin Song, Sui Wenjuan, Fan Lin |
| 2025 | CHI | RemoteChess: Enhancing Older Adults' Social Connectedness via Designing a Virtual Reality Chinese Chess (Xiangqi) Community. | Qianjie Wei, Xiaoying Wei, Yiqi Liang, Fan Lin, Nuonan Si, Mingming Fan |
| 2025 | CIKM | Adaptive Bidirectional State Space Model for High-frequency Portfolio Management. | Wei Ding, Hanpeng Jiang, Ruibo Xiong, Yongrong Wu, Jingan Chen, Lifan Chen, Pengfei Ding, Fan Lin |
| 2025 | CSCWD | FD-RLPO: Feature Domain-based Reinforcement Learning Framework for Portfolio Optimization. | Jingyuan Feng, Qiyue Wu, Fan Lin |
| 2025 | IJCNN | PSNet: A Multi-Period and Multi-Scale Model for Long-term Time Series Forecasting. | Zehang Chen, Licun Dai, Fan Lin |
| 2025 | IJCNN | Enhancing Sequential Recommendations with Sequence Diffusion Models for Long-Tail Users. | Qiyue Wu, Jingyuan Feng, Fan Lin |
| 2024 | ICASSP | Trend-Heuristic Reinforcement Learning Framework for News-Oriented Stock Portfolio Management. | Wei Ding, Zhennan Chen, Hanpeng Jiang, Yuanguo Lin, Fan Lin |
| 2024 | ICASSP | Asformer: Learning From Adjacent Scale. | Hanpeng Jiang, Zhennan Chen, Wei Ding, Fan Lin |
| 2023 | ECAI | Diffusion Model for Camouflaged Object Detection. | Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang, Fan Lin |
| 2023 | SEKE | mTrader: A Multi-Scale Signal Optimization Deep Reinforcement Learning Framework for Financial Trading (S). | Zhennan Chen, Zhicheng Zhang, Pengfei Li, Lingyue Wei, Shibo Feng, Fan Lin |
| 2023 | SEKE | Multi-Domain Feature Representation, Multi-Dimensional Feature Interaction for Person-Job Fit. | Bin Li, Jianwen Ding, Zhennan Chen, Hanpeng Jiang, Fan Lin |
| 2022 | ICDM | Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction. | Fan Lin, Pengfei Li, Yuanguo Lin, Zhennan Chen, Huanyu You, Shibo Feng |
| 2021 | ICA3PP | Temporal Convolution Network Based on Attention for Intelligent Anomaly Detection of Wind Turbine Blades. | Jianwen Ding, Fan Lin, Shengbo Lv |
| 2021 | ICSE | MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems. | Dewei Liu, Chuan He, Xin Peng, Fan Lin, Chenxi Zhang, Shengfang Gong, Ziang Li, Jiayu Ou, Zheshun Wu |
| 2017 | ASPDAC | An artificial neural network approach for screening test escapes. | Fan Lin, Kwang-Ting Cheng |
| 2015 | ICCAD | Pairwise Proximity-Based Features for Test Escape Screening. | Fan Lin, Chun-Kai Hsu, Alberto Giovanni Busetto, Kwang-Ting Cheng |
| 2015 | ITC | AdaTest: An efficient statistical test framework for test escape screening. | Fan Lin, Chun-Kai Hsu, Kwang-Ting Cheng |
| 2014 | DATE | Joint Virtual Probe: Joint exploration of multiple test items' spatial patterns for efficient silicon characterization and test prediction. | Shuangyue Zhang, Fan Lin, Chun-Kai Hsu, Kwang-Ting Cheng, Hong Wang |
| 2014 | ITC | Feature engineering with canonical analysis for effective statistical tests screening test escapes. | Fan Lin, Chun-Kai Hsu, Kwang-Ting Cheng |
| 2013 | ITC | Test data analytics - Exploring spatial and test-item correlations in production test data. | Chun-Kai Hsu, Fan Lin, Kwang-Ting Cheng, Wangyang Zhang, Xin Li, John M. Carulli, Kenneth M. Butler |