| 2026 | CHI | Theory, Experience, and Instinct: How AAA Game Studio UX Leaders Navigate Pre-Production. | Ivana Randelshofer, Joseph Tu, Yifan Cao, Reza Hadi Mogavi, Ville Mkel, Lennart E. Nacke |
| 2026 | CHI | TableTale: Reviving the Narrative Interplay Between Data Tables and Text in Scientific Papers. | Liangwei Wang, Zhengxuan Zhang, Yifan Cao, Fugee Tsung, Yuyu Luo |
| 2025 | CHI | ClueCart: Supporting Game Story Interpretation and Narrative Inference from Fragmented Clues. | Xiyuan Wang, Yifan Cao, Junjie Xiong, Sizhe Chen, Wenxuan Li, Junjie Zhang, Quan Li |
| 2025 | ICCCN | The Adaptive GMM for Rician Parameters Estimation in Industrial IoT Systems with Reverse KLD to Distinguish Redundant Kernels. | Yifan Cao, Yuheng Li, Zhipei Huang, Xuewu Dai, Wuxiong Zhang, Fei Qin |
| 2023 | VINCI | NFTeller: Dual-centric Visual Analytics for Assessing Market Performance of NFT Collectibles. | Yifan Cao, Meng Xia, Kento Shigyo, Furui Cheng, Qianhang Yu, Xingxing Yang, Yang Wang, Wei Zeng, Huamin Qu |
| 2022 | KSEM | GAN-Based Fusion Adversarial Training. | Yifan Cao, Ying Lin, Shengfu Ning, Huan Pi, Junyuan Zhang, Jianpeng Hu |
| 2022 | KSEM | PPBR-FL: A Privacy-Preserving and Byzantine-Robust Federated Learning System. | Ying Lin, Shengfu Ning, Jianpeng Hu, Jiansong Liu, Yifan Cao, Junyuan Zhang, Huan Pi |
| 2022 | MICCAI | Plug-and-Play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping. | Yunxiang Li, Ruilong Dan, Shuai Wang, Yifan Cao, Xiangde Luo, Chenghao Tan, Gangyong Jia, Huiyu Zhou, You Zhang, Yaqi Wang, Li Wang |
| 2021 | GLOBECOM | A Multi-Agent Reinforcement Learning Approach for Blockchain-based Electricity Trading System. | Yifan Cao, Xiaoxu Ren, Chao Qiu, Xiaofei Wang, Haipeng Yao, F. Richard Yu |
| 2021 | KSEM | An Adversarial Training Method for Improving Model Robustness in Unsupervised Domain Adaptation. | Zhishen Nie, Ying Lin, Meng Yan, Yifan Cao, Shengfu Ning |
| 2020 | ACL | An Empirical Comparison of Unsupervised Constituency Parsing Methods. | Jun Li, Yifan Cao, Jiong Cai, Yong Jiang, Kewei Tu |
| 2020 | APWEB | Content Sharing Prediction for Device-to-Device (D2D)-based Offline Mobile Social Networks by Network Representation Learning. | Qing Zhang, Xiaoxu Ren, Yifan Cao, Hengda Zhang, Xiaofei Wang, Victor C. M. Leung |