| Rosetta: A realistic high-level synthesis benchmark suite for software programmable FPGAs Y Zhou, U Gupta, S Dai, R Zhao, N Srivastava, H Jin, J Featherston, ... Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018 | 145 | 2018 |
| Deep learning for genomics: A concise overview T Yue, W Wang, H Wang arXiv preprint arXiv:1802.00810, 2023 | 104 | 2023 |
| Depth-wise decomposition for accelerating separable convolutions in efficient convolutional neural networks Y He, J Qian, J Wang, L Cindy, H Congrui, L Qi, W Wenping, Y Tianwei arXiv preprint arXiv:1910.09455, 2019 | 13 | 2019 |
| Enhancing abstractive summarization with extracted knowledge graphs and multi-source transformers T Chen, X Wang, T Yue, X Bai, CX Le, W Wang Applied Sciences 13 (13), 7753, 2023 | 10 | 2023 |
| Deep learning for genomics: a concise overview. 2018 T Yue, H Wang, L Zhang, C Gu, H Xue, W Wang, Q Lyu, Y Dun ArXiv preprint: https://arxiv. org/pdf/1802.00810 v3. pdf, 1802 | 7 | 1802 |
| Deep learning for genomics: From early neural nets to modern large language models T Yue, Y Wang, L Zhang, C Gu, H Xue, W Wang, Q Lyu, Y Dun International Journal of Molecular Sciences 24 (21), 15858, 2023 | 6 | 2023 |
| Rosetta: A Realistic High-Level Synthesis Benchmark Suite for Software-Programmable FPGAs. Int’l Symp. on Field-Programmable Gate Arrays (FPGA)(Feb 2018) Y Zhou, U Gupta, S Dai, R Zhao, N Srivastava, H Jin, J Featherston, ... doi. org/10.1145/3174243.3174255, 2018 | 5 | 2018 |
| Segment Anything Model for Road Network Graph Extraction C Hetang, H Xue, C Le, T Yue, W Wang, Y He Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| Unlocking everyday wisdom: Enhancing machine comprehension with script knowledge integration Z Zhou, T Yue, C Liang, X Bai, D Chen, C Hetang, W Wang Applied Sciences 13 (16), 9461, 2023 | 4 | 2023 |
| Integrity and Junkiness Failure Handling for Embedding-based Retrieval: A Case Study in Social Network Search W Wang, Y Guo, C Shen, S Ding, G Liao, H Fu, PK Prabhakar SIGIR '23, 2023 | 4 | 2023 |
| Sliding-Bert: Striding Towards Conversational Machine Comprehension in Long Contex. L Zhang, W Wang, K Yu, J Huang, Q Lyu, H Xue, C Hetang Adv. Artif. Intell. Mach. Learn. 3 (3), 1325-1339, 2023 | 3 | 2023 |
| Linguistically-Inspired Neural Coreference Resolution. Advances in Artificial Intelligence and Machine Learning. 2023; 3 (2): 66 X Yang, W Ye, L Breitfeller, T Yue, W Wang Advances in Artificial Intelligence and Machine Learning 3 (2), 66, 2023 | 3 | 2023 |
| A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction W Ye, X Liu, T Yue, W Wang arXiv preprint arXiv:1711.04162, 2023 | 2 | 2023 |
| InkGAN: Generative Adversarial Networks for Ink-And-Wash Style Transfer of Photographs K Yu, Y Wang, S Zeng, C Liang, X Bai, D Chen, W Wang Advances in Artificial Intelligence and Machine Learning 3 (2), 1220, 2023 | 2 | 2023 |
| Coreference resolution helps visual dialogs to focus T Yue, W Wang, C Liang, D Chen, C Hetang, X Wang High-Confidence Computing 4 (2), 100184, 2024 | 1 | 2024 |
| Faster, Stronger, and More Interpretable: Massive Transformer Architectures for Vision-Language Tasks. T Chen, S Liu, Z Chen, W Hu, D Chen, Y Wang, Q Lyu, CX Le, W Wang Adv. Artif. Intell. Mach. Learn. 3 (3), 1369-1388, 2023 | 1 | 2023 |
| Sentiment Analysis: A Systematic Case Study with Yelp Scores. Advances in Artificial Intelligence and Machine Learning. 2023; 3 (3): 74 W Wang Machine Learning 3 (3), 74, 2023 | 1 | 2023 |
| Multi-Modal Machine Learning for Assessing Gaming Skills in Online Streaming: A Case Study with CS: GO L Zhang, W Wang arXiv preprint arXiv:2307.12236, 2023 | | 2023 |
