| 2026 | ICSA | Leveraging Large Language Models for Event Storming in Domain-Driven Design: A Controlled Experiment. | Lingli Cao, He Zhang, Shanshan Li, Chenxing Zhong, Danyang Li, Ying Fan, Yi Zhang, Uwe Zdun |
| 2025 | ICLR | Looped Transformers for Length Generalization. | Ying Fan, Yilun Du, Kannan Ramchandran, Kangwook Lee |
| 2025 | ICML | VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data. | Thomas Zeng, Shuibai Zhang, Shutong Wu, Christian Classen, Daewon Chae, Ethan Ewer, Minjae Lee, Heeju Kim, Wonjun Kang, Jackson Kunde, Ying Fan, Jungtaek Kim, Hyung Il Koo, Kannan Ramchandran, Dimitris Papailiopoulos, Kangwook Lee |
| 2023 | ICML | Optimizing DDPM Sampling with Shortcut Fine-Tuning. | Ying Fan, Kangwook Lee |
| 2022 | ICML | POEM: Out-of-Distribution Detection with Posterior Sampling. | Yifei Ming, Ying Fan, Yixuan Li |
| 2021 | ICML | Model-based Reinforcement Learning for Continuous Control with Posterior Sampling. | Ying Fan, Yifei Ming |
| 2021 | KDD | Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling. | Siyu Gu, Xiang-Rong Sheng, Ying Fan, Guorui Zhou, Xiaoqiang Zhu |
| 2020 | CIKM | Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction. | Qi Pi, Guorui Zhou, Yujing Zhang, Zhe Wang, Lejian Ren, Ying Fan, Xiaoqiang Zhu, Kun Gai |
| 2019 | AAAI | Deep Interest Evolution Network for Click-Through Rate Prediction. | Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai |
| 2019 | ICWS | Bandwidth Planning of Web Services in Changing Contexts Based on Network Simulation. | Jianpeng Hu, Linpeng Huang, Ying Fan, Lanxuan Tong, Wenqiang Hu |
| 2018 | AAAI | Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net. | Guorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai |
| 2018 | KDD | Deep Interest Network for Click-Through Rate Prediction. | Guorui Zhou, Xiaoqiang Zhu, Chengru Song, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai |
| 2018 | MICCAI | cGAN-Based Lacquer Cracks Segmentation in ICGA Image. | Hongjiu Jiang, Yuhui Ma, Weifang Zhu, Ying Fan, Yihong Hua, Qiuying Chen, Xinjian Chen |
| 2017 | AAAI | Deep Learning for Fixed Model Reuse. | Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou |
| 2017 | ACML | Instance Specific Discriminative Modal Pursuit: A Serialized Approach. | Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang |
| 2016 | IECON | A new fault-tolerant control strategy for switch open-circuit fault in open-winding driving system. | Ronghua Cui, Ying Fan, Xiangyang Zhang, Weixia Zhu, Ming Cheng |
| 2015 | HPCC | An Improved Classifier Chain Algorithm for Multi-label Classification of Big Data Analysis. | Zhilou Yu, Qiao Wang, Ying Fan, Hongjun Dai, Meikang Qiu |
| 2013 | COCOA | Parameterized and Approximation Algorithms for Finding Two Disjoint Matchings. | Zhi-Zhong Chen, Ying Fan, Lusheng Wang |
| 2012 | IECON | Design, analysis and sensorless control of a new self-decelerating permanent-magnet motor. | Ying Fan, Jin Huang, Xuedong Han, Xiaofan Fu, Hua Wei |
| 2010 | SMC | A dynamic game based analysis on the strategic petroleum reserve policies of developing countries. | Ying Fan, Xiao-Bing Zhang |
| 2007 | ICCS | Emergence of Specialization from Global Optimizing Evolution in a Multi-agent System. | Lei Chai, Jiawei Chen, Zhangang Han, Zengru Di, Ying Fan |
| 2007 | ICNC | Removing Noise from Medical CR Image Using Multineural Network Filter Based on Noise Intensity Distribution. | Yeqiu Li, Jiangming Lu, Ling Wang, Song Li, Ying Fan, Takashi Yahagi |