| Data-centric artificial intelligence: A survey D Zha, ZP Bhat, KH Lai, F Yang, Z Jiang, S Zhong, X Hu ACM Computing Surveys 57 (5), 1-42, 2025 | 523 | 2025 |
| G-mixup: Graph data augmentation for graph classification X Han, Z Jiang, N Liu, X Hu International conference on machine learning, 8230-8248, 2022 | 324 | 2022 |
| Llm maybe longlm: Self-extend llm context window without tuning H Jin, X Han, J Yang, Z Jiang, Z Liu, CY Chang, H Chen, X Hu ICML 2024, 2024 | 225 | 2024 |
| Generalized Demographic Parity for Group Fairness Z Jiang, X Han, C Fan, F Yang, A Mostafavi, X Hu International Conference on Learning Representations, 2022, 2022 | 111 | 2022 |
| A 1Mbps real-time NLOS UV scattering communication system with receiver diversity over 1km G Wang, K Wang, C Gong, D Zou, Z Jiang, Z Xu IEEE Photonics Journal 10 (2), 1-13, 2018 | 88 | 2018 |
| Learning fair graph representations via automated data augmentations H Ling, Z Jiang, Y Luo, S Ji, N Zou International Conference on Learning Representations (ICLR), 2023 | 86 | 2023 |
| Hierarchy-aware multi-hop question answering over knowledge graphs J Dong, Q Zhang, X Huang, K Duan, Q Tan, Z Jiang Proceedings of the ACM web conference 2023, 2519-2527, 2023 | 70 | 2023 |
| Fmp: Toward fair graph message passing against topology bias Z Jiang, X Han, C Fan, Z Liu, N Zou, A Mostafavi, X Hu arXiv preprint arXiv:2202.04187, 2022 | 56 | 2022 |
| Graph mixup with soft alignments H Ling, Z Jiang, M Liu, S Ji, N Zou International Conference on Machine Learning, 21335-21349, 2023 | 51 | 2023 |
| An Information Fusion Approach to Learning with Instance-Dependent Label Noise Z Jiang, K Zhou, Z Liu, L Li, R Chen, SH Choi, X Hu International Conference on Learning Representations, 2022 | 51 | 2022 |
| Main-rag: Multi-agent filtering retrieval-augmented generation CY Chang, Z Jiang, V Rakesh, M Pan, CCM Yeh, G Wang, M Hu, Z Xu, ... Proceedings of the 63rd Annual Meeting of the Association for Computational …, 2025 | 36 | 2025 |
| Geometric graph representation learning via maximizing rate reduction X Han, Z Jiang, N Liu, Q Song, J Li, X Hu Proceedings of the ACM web conference 2022, 1226-1237, 2022 | 36 | 2022 |
| Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach Z Jiang, X Han, H Jin, G Wang, R Chen, N Zou, X Hu Conference on Neural Information Processing Systems (NeurIPS 2023)., 2023 | 35* | 2023 |
| Achievable rates and signal detection for photon-level photomultiplier receiver based on statistical non-linear model Z Jiang, C Gong, Z Xu IEEE Transactions on Wireless Communications 18 (12), 6015-6029, 2019 | 34 | 2019 |
| Dspar: An embarrassingly simple strategy for efficient gnn training and inference via degree-based sparsification Z Liu, K Zhou, Z Jiang, L Li, R Chen, SH Choi, X Hu Transactions on Machine Learning Research, 2023 | 32 | 2023 |
| Lora-as-an-attack! piercing llm safety under the share-and-play scenario H Liu, Z Liu, R Tang, J Yuan, S Zhong, YN Chuang, L Li, R Chen, X Hu arXiv e-prints, arXiv: 2403.00108, 2024 | 27 | 2024 |
| Winner-take-all column row sampling for memory efficient adaptation of language model Z Liu, G Wang, SH Zhong, Z Xu, D Zha, RR Tang, ZS Jiang, K Zhou, ... Advances in Neural Information Processing Systems 36, 3402-3424, 2023 | 26 | 2023 |
| 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 | 26 | 2023 |
| Clipping noise and power allocation for OFDM-based optical wireless communication using photon detection Z Jiang, C Gong, Z Xu IEEE Wireless Communications Letters 8 (1), 237-240, 2018 | 26 | 2018 |
| Retiring DP: New Distribution-Level Metrics for Demographic Parity X Han, Z Jiang, H Jin, Z Liu, N Zou, Q Wang, X Hu TMLR, 2023 | 25 | 2023 |
Xia "Ben" HuProfessor of Computer Science, Rice UniversityVerified email at rice.edu
