| Relation inference among sensor time series in smart buildings with metric learning S Li, D Hong, H Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4683-4690, 2020 | 21 | 2020 |
| Misusing tools in large language models with visual adversarial examples X Fu, Z Wang, S Li, RK Gupta, N Mireshghallah, T Berg-Kirkpatrick, ... arXiv preprint arXiv:2310.03185, 2023 | 19 | 2023 |
| Units: Short-time fourier inspired neural networks for sensory time series classification S Li, RR Chowdhury, J Shang, RK Gupta, D Hong Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems …, 2021 | 16 | 2021 |
| Recursive graphical neural networks for text classification W Li, S Li, S Ma, Y He, D Chen, X Sun arXiv preprint arXiv:1909.08166, 2019 | 12 | 2019 |
| SQEE: A Machine Perception Approach to Sensing Quality Evaluation at the Edge by Uncertainty Quantification S Li, J Shang, RK Gupta, D Hong Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems …, 2022 | 3 | 2022 |
| Imprompter: Tricking LLM Agents into Improper Tool Use X Fu, S Li, Z Wang, Y Liu, RK Gupta, T Berg-Kirkpatrick, E Fernandes arXiv preprint arXiv:2410.14923, 2024 | 2 | 2024 |
| How Few Davids Improve One Goliath: Federated Learning in Resource-Skewed Edge Computing Environments J Zhang, S Li, H Huang, Z Wang, X Fu, D Hong, RK Gupta, J Shang Proceedings of the ACM on Web Conference 2024, 2976-2985, 2024 | 2 | 2024 |
| UniMTS: Unified Pre-training for Motion Time Series X Zhang, D Teng, RR Chowdhury, S Li, D Hong, RK Gupta, J Shang arXiv preprint arXiv:2410.19818, 2024 | | 2024 |
