Bi, Jinbo

End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion

Shang, C., Tang, Y., Huang, J., Bi, J., He, X., & Zhou, B. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Graph Neural NetworksTopic Modeling

Cited by 725

Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data

Farhan, A. A., Yue, C., Morillo, R., Ware, S., Lu, J., Bi, J., Kamath, J., Russell, A., Bamis, A., & Wang, B. (2016) · 2016 IEEE Wireless Health (WH)

Digital Mental Health InterventionsEmotion and Mood Recognition

Cited by 115

Joint modeling of heterogeneous sensing data for depression assessment via multi-task learning

Lu, J., Shang, C., Yue, C., Morillo, R., Ware, S., Kamath, J., Bamis, A., Russell, A., Wang, B., & Bi, J. (2018) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

Emotion and Mood RecognitionMental Health Research Topics

Cited by 85

Multi-view Bi-clustering to Identify Smartphone Sensing Features Indicative of Depression

Farhan, A. A., Lu, J., Bi, J., Russell, A., Wang, B., & Bamis, A. (2016) · 2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)

Context-Aware Activity Recognition SystemsMental Health Research Topics

Cited by 61

A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining

Peng, H., Huang, S., Chen, S., Li, B., Geng, T., Li, A., Jiang, W., Wen, W., Bi, J., Liu, H., et al. (2022) · Proceedings of the 59th ACM/IEEE Design Automation Conference

Embedded Systems Design TechniquesAdvanced Neural Network Applications

Cited by 48