| SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering X Yang, H Chen, Y Yan, Y Tang, Y Zhao, E Xu, Y Cai, H Tong arXiv preprint arXiv:2406.16170, 2024 | | 2024 |
| AIM: Attributing, Interpreting, Mitigating Data Unfairness Z Liu, R Qiu, Z Zeng, Y Zhu, H Hamann, H Tong arXiv preprint arXiv:2406.08819, 2024 | | 2024 |
| How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark R Qiu, WW Zeng, H Tong, J Ezick, C Lott arXiv preprint arXiv:2406.06647, 2024 | | 2024 |
| Group Fairness via Group Consensus E Chan, Z Liu, R Qiu, Y Zhang, R Maciejewski, H Tong The 2024 ACM Conference on Fairness, Accountability, and Transparency, 1788-1808, 2024 | 1 | 2024 |
| Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization R Qiu, H Tong arXiv preprint arXiv:2405.16805, 2024 | | 2024 |
| Discrete-state Continuous-time Diffusion for Graph Generation Z Xu, R Qiu, Y Chen, H Chen, X Fan, M Pan, Z Zeng, M Das, H Tong arXiv preprint arXiv:2405.11416, 2024 | 1 | 2024 |
| New Frontiers of Knowledge Graph Reasoning: Recent Advances and Future Trends L Liu, Z Wang, J Bai, Y Song, H Tong Companion Proceedings of the ACM on Web Conference 2024, 1294-1297, 2024 | | 2024 |
| Pacer: Network embedding from positional to structural Y Yan, Y Hu, Q Zhou, L Liu, Z Zeng, Y Chen, M Pan, H Chen, M Das, ... Proceedings of the ACM on Web Conference 2024, 2485-2496, 2024 | 4 | 2024 |
| Ensuring user-side fairness in dynamic recommender systems H Yoo, Z Zeng, J Kang, R Qiu, D Zhou, Z Liu, F Wang, C Xu, E Chan, ... Proceedings of the ACM on Web Conference 2024, 3667-3678, 2024 | 3 | 2024 |
| Masked Graph Transformer for Large-Scale Recommendation H Chen, Z Xu, CCM Yeh, V Lai, Y Zheng, M Xu, H Tong arXiv preprint arXiv:2405.04028, 2024 | | 2024 |
| Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering Y Xu, S He, J Chen, Z Wang, Y Song, H Tong, K Liu, J Zhao arXiv preprint arXiv:2404.14741, 2024 | 1 | 2024 |
| Neural active learning beyond bandits Y Ban, I Agarwal, Z Wu, Y Zhu, K Weldemariam, H Tong, J He arXiv preprint arXiv:2404.12522, 2024 | 1 | 2024 |
| Bemap: Balanced message passing for fair graph neural network X Lin, J Kang, W Cong, H Tong Learning on Graphs Conference, 37: 1-37: 25, 2024 | 6 | 2024 |
| Heterogeneous Contrastive Learning for Foundation Models and Beyond L Zheng, B Jing, Z Li, H Tong, J He arXiv preprint arXiv:2404.00225, 2024 | | 2024 |
| Hierarchical multi-marginal optimal transport for network alignment Z Zeng, B Du, S Zhang, Y Xia, Z Liu, H Tong Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16660 …, 2024 | 6 | 2024 |
| Sterling: Synergistic representation learning on bipartite graphs B Jing, Y Yan, K Ding, C Park, Y Zhu, H Liu, H Tong Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 12976 …, 2024 | 10 | 2024 |
| Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs L Liu, Z Wang, R Qiu, Y Ban, H Tong arXiv preprint arXiv:2404.04264, 2024 | 1 | 2024 |
| Ginkgo-P: General Illustrations of Knowledge Graphs for Openness as a Platform B Hill, L Liu, H Tong Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | | 2024 |
| Soft Reasoning on Uncertain Knowledge Graphs W Fei, Z Wang, H Yin, Y Duan, H Tong, Y Song arXiv preprint arXiv:2403.01508, 2024 | 2 | 2024 |
| Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key? Q Wang, Z Wang, Y Su, H Tong, Y Song arXiv preprint arXiv:2402.18272, 2024 | 6 | 2024 |
Christos FaloutsosCMU在 cs.cmu.edu 的电子邮件经过验证
