Issued Patents All Time
Showing 25 most recent of 32 patents
| Patent # | Title | Co-Inventors | Date |
|---|---|---|---|
| 12412637 | Embedding-based generative model for protein design | Payel Das, Enara C. Vijil, Igor Melnyk, Yue Cao | 2025-09-09 |
| 12367397 | Query-based molecule optimization and applications to functional molecule discovery | Samuel Chung Hoffman, Enara C. Vijil, Payel Das, Kahini Wadhawan | 2025-07-22 |
| 12288391 | Image grounding with modularized graph attentive networks | Zhenfang Chen, Chuang Gan, Bo Wu | 2025-04-29 |
| 12182274 | Testing adversarial robustness of systems with limited access | Sijia Liu, Lingfei Wu, Chia-Yu Chen | 2024-12-31 |
| 12061991 | Transfer learning with machine learning systems | Sijia Liu, Chia-Yu Chen, I-Hsin Chung, Tsung-Yi Ho, Yun-Yun Tsai | 2024-08-13 |
| 12020480 | Counterfactual debiasing inference for compositional action recognition | Bo Wu, Chuang Gan, Zhenfang Chen, Dakuo Wang | 2024-06-25 |
| 11880765 | State-augmented reinforcement learning | Yada Zhu, Jinjun Xiong, Kumar Bhaskaran, Yunan Ye, Bo Li | 2024-01-23 |
| 11853713 | Graph similarity analytics | Lingfei Wu, Chia-Yu Chen, Yada Zhu | 2023-12-26 |
| 11853702 | Self-supervised semantic shift detection and alignment | Maurício Gruppi, Sibel Adali | 2023-12-26 |
| 11839456 | Method for determining maximum value of heart rate data of user pefforming physical activity | Szu-Hong Chen, TAI-YU HUANG, Yu-Ting Liu | 2023-12-12 |
| 11836256 | Testing adversarial robustness of systems with limited access | Sijia Liu, Lingfei Wu, Chia-Yu Chen | 2023-12-05 |
| 11800633 | Inductor and power module | HUNG-CHIH LIANG, Hsiu-Fa Yeh, HANG-CHUN LU, Ya-Wan Yang, Yu-Ting Hsu | 2023-10-24 |
| 11640532 | Contrastive explanations for images with monotonic attribute functions | Ronny Luss, Amit Dhurandhar, Prasanna Sattigeri, Karthikeyan Shanmugam | 2023-05-02 |
| 11625487 | Framework for certifying a lower bound on a robustness level of convolutional neural networks | Sijia Liu, Akhilan Boopathy, Tsui-Wei Weng, Luca Daniel | 2023-04-11 |
| 11604994 | Explainable machine learning based on heterogeneous data | Yada Zhu, Yang Zhang, Kumar Bhaskaran | 2023-03-14 |
| 11586912 | Integrated noise generation for adversarial training | Chia-Yu Chen, Mingu Kang, Jintao Zhang | 2023-02-21 |
| 11568282 | Mitigating adversarial effects in machine learning systems | Payel Das, Karthikeyan Natesan Ramamurthy, Pu Paul Zhao | 2023-01-31 |
| 11568267 | Inducing creativity in an artificial neural network | Payel Das, Brian Leo Quanz, Jae-Wook Ahn | 2023-01-31 |
| 11538248 | Summarizing videos via side information | Rameswar Panda, Chuang Gan, Bo Wu | 2022-12-27 |
| 11507787 | Model agnostic contrastive explanations for structured data | Amit Dhurandhar, Karthikeyan Shanmugam, Tejaswini Pedapati, Avinash Balakrishnan, Ruchir Puri | 2022-11-22 |
| 11416775 | Training robust machine learning models | Sijia Liu, Shiyu Chang, Payel Das, Minhao Cheng | 2022-08-16 |
| 11397891 | Interpretability-aware adversarial attack and defense method for deep learnings | Sijia Liu, Gaoyuan Zhang, Chuang Gan, Akhilan Boopathy | 2022-07-26 |
| 11394742 | Detecting trojan neural networks | Sijia Liu, Jinjun Xiong, Gaoyuan Zhang, Meng Wang, Ren Wang | 2022-07-19 |
| 11227231 | Computational efficiency in symbolic sequence analytics using random sequence embeddings | Lingfei Wu, Kun Xu, Chia-Yu Chen | 2022-01-18 |
| 11222242 | Contrastive explanations for images with monotonic attribute functions | Ronny Luss, Amit Dhurandhar, Prasanna Sattigeri, Karthikeyan Shanmugam | 2022-01-11 |