| 2024 | INFOCOM | Cascade: Enhancing Reinforcement Learning with Curriculum Federated Learning and Interference Avoidance - A Case Study in Adaptive Bitrate Selection. | Salma Emara, Daniel Liu, Fei Wang, Baochun Li |
| 2022 | AMIA | Evaluating a Vendor-derived Pediatric Sepsis Predictive Model in Acute Care Settings. | Daniel Liu, Shengfan Zhang, Maryam Alimohammadi, Feliciani Yu Jr. |
| 2022 | MICRO | Mint: An Accelerator For Mining Temporal Motifs. | Nishil Talati, Haojie Ye, Sanketh Vedula, Kuan-Yu Chen, Yuhan Chen, Daniel Liu, Yichao Yuan, David T. Blaauw, Alex M. Bronstein, Trevor N. Mudge, Ronald G. Dreslinski |
| 2020 | ECCV | Adversarial Shape Perturbations on 3D Point Clouds. | Daniel Liu, Ronald Yu, Hao Su |
| 2019 | ICIP | Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers. | Daniel Liu, Ronald Yu, Hao Su |
| 2019 | KDD | System Demonstration of MRAM Co-designed Processing-in-Memory CNN Accelerator for Mobile and IoT Applications. | Baohua Sun, Daniel Liu, Leo Yu, Jay Li, Helen Liu, Wenhan Zhang, Terry Torng |
| 2019 | SIGMOD | Verifying Text Summaries of Relational Data Sets. | Saehan Jo, Immanuel Trummer, Weicheng Yu, Xuezhi Wang, Cong Yu, Daniel Liu, Niyati Mehta |
| 2015 | ICDM | From 0.5 Million to 2.5 Million: Efficiently Scaling up Real-Time Bidding. | Jianqiang Shen, Burkay Orten, Sahin Cem Geyik, Daniel Liu, Shahriar Shariat, Fang Bian, Ali Dasdan |