| 2019 |
Yin-Hua Yeh, James Juichia Lin, Internal Capital Market, Ownership Structure, and Investment Efficiency：Evidence from Taiwanese Business Groups, 29th Eurasia Business and Economics Society (EBES) Conference, 2019, Lisbon, Portugal |
| 2018 |
Guo, J.-H., L.-F. Chang, An Accelerated Approach to Static Hedging Barrier Options: Richardson Extrapolation Techniques, The 2018 EFMA conference, 会议论文, Jun. 26-30, 2018, Milan, Italy |
| 2018 |
Analysis of MIS Journal Publication in Taiwan, Proceedings of the International Conference on Internet Computing and IoT (ICOMP), 2018, Las Vegas, Nevada, USA |
| 2018 |
A reputation- and credit-based information retrieval system for hybrid wireless networks, Proceedings of the International Conference on INFORMS annual meeting (INFORMS), 2018, Phoenix, Arizona, USA |
| 2018 |
Detecting and Defending suspicious nodes in Large & Mobile Networks, Proceedings of the 49th Annual Meeting of the Decision Sciences Institute, 2018, Chicago, IL |
| 2018 |
Observing the effectiveness of English-medium instruction in Taiwan higher education, Proceedings of the 49th Annual Meeting of the Decision Sciences Institute, 2018, Chicago, IL |
| 2018 |
English-medium Instruction in English as a Foreign Language Computer Science Courses, Observation and Suggestion: Proceedings of the International Conference on Frontiers in Education, 2018, Las Vegas, Nevada, USA |
| 2018 |
Kang-Cheng Chen, Pin-Yu Chen, and Chia-Mu Yu. , REMIX: Mitigating Adversarial Perturbation by Reforming, Masking and Inpainting. , IEEE Symposium on Security and Privacy (S&P), 2018, San Francisco, CA, USA |
| 2018 |
Pei-Shuan Lu, Pin-Yu Chen, Kang-Cheng Chen, and Chia-Mu Yu. , On the Limitation of MagNet Defense against L1-based Adversarial Examples, Workshop on Dependable and Secure Machine Learning (DSML), 2018, Luxembourg City, Luxembourg, 2018 |
| 2018 |
Pei-Shuan Lu (指导学生), Pin-Yu Chen, and Chia-Mu Yu., On the Limitation of Local Intrinsic Dimensionality for Characterizing the Subspaces of Adversarial Examples, International Conference on Learning Representations (ICLR), 2018, Vancouver, Canada, |
