Semi-decentralized Federated Ego Graph Learning for Recommendation L Qu, N Tang, R Zheng, QVH Nguyen, Z Huang, Y Shi, H Yin Proceedings of the ACM Web Conference 2023, 339-348, 2023 | 38 | 2023 |
Single-shot Embedding Dimension Search in Recommender System L Qu, Y Ye, N Tang, L Zhang, Y Shi, H Yin Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 28 | 2022 |
An Empirical Study of Developer Behaviors for Validating and Repairing AI-Generated Code N Tang, M Chen, Z Ning, A Bansal, Y Huang, C McMillan, TJJ Li 13th Workshop on the Intersection of HCI and PL, 2023 | 12 | 2023 |
A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions N Tang, M Chen, Z Ning, A Bansal, Y Huang, C McMillan, TJJ Li arXiv preprint arXiv:2405.16081, 2024 | 1 | 2024 |
CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE N Tang, J An, M Chen, A Bansal, Y Huang, C McMillan, TJJ Li Proceedings of the 2024 IEEE/ACM 46th International Conference on Software …, 2024 | 1 | 2024 |
Programmer Visual Attention During Context-Aware Code Summarization A Bansal, R Wallace, Z Karas, N Tang, Y Huang, TJJ Li, C McMillan arXiv preprint arXiv:2405.18573, 2024 | | 2024 |
Enabling On-Device Learning via Experience Replay with Efficient Dataset Condensation G Xu, N Tang, J Xia, W Jin, Y Shi arXiv preprint arXiv:2405.16113, 2024 | | 2024 |