Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series
- Asterios Tsiourvas
- Wei Sun
- et al.
- 2024
- ICML 2024
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14 results for Yada Zhu
Adversarial Attacks on Fairness of Graph Neural Networks
- Binchi Zhang
- Yushun Dong
- et al.
- 2024
- ICLR 2024
Neural Active Learning Beyond Bandits
- Yikun Ban
- Ishika Agarwal
- et al.
- 2024
- ICLR 2024
Self-Specialization: Uncovering Latent Expertise within Large Language Models
- Junmo Kang
- Hongyin Luo
- et al.
- 2024
- ACL 2024
AIM: Attributing, Interpreting, Mitigating Data Unfairness
- Zhining Liu
- Ruizhong Qiu
- et al.
- 2024
- KDD 2024
Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization
- Haohui Wang
- Baoyu Jing
- et al.
- 2024
- KDD 2024
Probabilistic framework for modeling event shocks to financial time series
- Yada Zhu
- Wenyu Chen
- et al.
- 2021
- ICAIF 2021
UNIFIEDGT: Towards a Universal Framework of Transformers in Large-Scale Graph Learning
- Lin Junhong
- Xiaojie Guo
- et al.
- 2024
- Big Data 2024
FraudGT: A Simple, Effective, and Efficient Graph Transformer for Financial Fraud Detection
- Lin Junhong
- Xiaojie Guo
- et al.
- 2024
- ICAIF 2024
Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models
- Yue Zhou
- Yada Zhu
- et al.
- 2024
- NAACL 2024