| Harnessing the power of llms in practice: A survey on chatgpt and beyond J Yang, H Jin, R Tang, X Han, Q Feng, H Jiang, S Zhong, B Yin, X Hu ACM Transactions on Knowledge Discovery from Data 18 (6), 1-32, 2024 | 857 | 2024 |
| Did you train on my dataset? towards public dataset protection with cleanlabel backdoor watermarking R Tang, Q Feng, N Liu, F Yang, X Hu ACM SIGKDD Explorations Newsletter 25 (1), 43-53, 2023 | 43 | 2023 |
| DEGREE: Decomposition based explanation for graph neural networks Q Feng, N Liu, F Yang, R Tang, M Du, X Hu arXiv preprint arXiv:2305.12895, 2023 | 32 | 2023 |
| Interpretability in graph neural networks N Liu, Q Feng, X Hu Graph neural networks: foundations, frontiers, and applications, 121-147, 2022 | 31 | 2022 |
| Use of machine learning–based software for the screening of thyroid cytopathology whole slide images D Dov, SZ Kovalsky, Q Feng, S Assaad, J Cohen, J Bell, R Henao, L Carin, ... Archives of pathology & laboratory medicine 146 (7), 872-878, 2022 | 21 | 2022 |
| Fair Machine Learning in Healthcare: A Survey Q Feng, M Du, N Zou, X Hu IEEE Transactions on Artificial Intelligence, 2024 | 20* | 2024 |
| Fair graph distillation Q Feng, ZS Jiang, R Li, Y Wang, N Zou, J Bian, X Hu Advances in Neural Information Processing Systems 36, 80644-80660, 2023 | 19 | 2023 |
| Differentially private counterfactuals via functional mechanism F Yang, Q Feng, K Zhou, J Chen, X Hu arXiv preprint arXiv:2208.02878, 2022 | 13 | 2022 |
| Exposing privacy gaps: Membership inference attack on preference data for LLM alignment Q Feng, SR Kasa, H Yun, CH Teo, SB Bodapati arXiv preprint arXiv:2407.06443, 2024 | 6 | 2024 |
| Efficient gnn explanation via learning removal-based attribution Y Rong, G Wang, Q Feng, N Liu, Z Liu, E Kasneci, X Hu ACM Transactions on Knowledge Discovery from Data, 2024 | 5 | 2024 |
| Can attention be used to explain ehr-based mortality prediction tasks: A case study on hemorrhagic stroke Q Feng, J Yuan, FB Emdad, K Hanna, X Hu, Z He Proceedings of the 14th ACM International Conference on Bioinformatics …, 2023 | 5 | 2023 |
| Gradient rewiring for editable graph neural network training Z Jiang, Z Liu, X Han, Q Feng, H Jin, Q Tan, K Zhou, N Zou, X Hu arXiv preprint arXiv:2410.15556, 2024 | 1 | 2024 |
| RES: An Interpretable Replicability Estimation System for Research Publications Z Wang, Q Feng, M Chatterjee, X Zhao, Y Liu, Y Li, AK Singh, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13230 …, 2022 | 1 | 2022 |
| UNITE: Universally Trustworthy GNN Via Subgraph Identification Q Feng, Q Tan, C Li, L Sun, N Zou, X Xie, X Hu | | |
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityПотвърден имейл адрес: rice.edu