Philip S. Yu
University of Illinois at Chicago
H-index: 194
North America-United States
Top articles of Philip S. Yu
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
CORI: CJKV Benchmark with Romanization Integration--A step towards Cross-lingual Transfer Beyond Textual Scripts | arXiv preprint arXiv:2404.12618 | Hoang H Nguyen Chenwei Zhang Ye Liu Natalie Parde Eugene Rohrbaugh | 2024/4/19 |
Mixed Supervised Graph Contrastive Learning for Recommendation | arXiv preprint arXiv:2404.15954 | Weizhi Zhang Liangwei Yang Zihe Song Henry Peng Zou Ke Xu | 2024/4/24 |
Reinforced GNNs for Multiple Instance Learning | IEEE Transactions on Neural Networks and Learning Systems | Xusheng Zhao Qiong Dai Xu Bai Jia Wu Hao Peng | 2024/4/30 |
Trustllm: Trustworthiness in large language models | arXiv preprint arXiv:2401.05561 | Lichao Sun Yue Huang Haoran Wang Siyuan Wu Qihui Zhang | 2024/1/10 |
Totally-ordered sequential rules for utility maximization | ACM Transactions on Knowledge Discovery from Data | Chunkai Zhang Maohua Lyu Wensheng Gan Philip S Yu | 2024/2/12 |
Disclosure and Mitigation of Gender Bias in LLMs | arXiv preprint arXiv:2402.11190 | Xiangjue Dong Yibo Wang Philip S Yu James Caverlee | 2024/2/17 |
Motif-Based Contrastive Learning for Community Detection | IEEE Transactions on Neural Networks and Learning Systems | Xunxun Wu Chang-Dong Wang Jia-Qi Lin Wu-Dong Xi S Yu Philip | 2024/2/26 |
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges | arXiv preprint arXiv:2403.04468 | Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyang Mao | 2024/3/7 |
Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network | Proceedings of the AAAI Conference on Artificial Intelligence | Xuming Hu Zhaochen Hong Yong Jiang Zhichao Lin Xiaobin Wang | 2024/3/24 |
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification | IEEE Transactions on Knowledge and Data Engineering | Lu Bai Lixin Cui Yue Wang Ming Li Jing Li | 2024/4/16 |
A survey on evaluation of large language models | Yupeng Chang Xu Wang Jindong Wang Yuan Wu Linyi Yang | 2023/12 | |
Uncertainty Quantification on Graph Learning: A Survey | arXiv preprint arXiv:2404.14642 | Chao Chen Chenghua Guo Rui Xu Xiangwen Liao Xi Zhang | 2024/4/23 |
Geospatial Big Data: Survey and Challenges | Jiayang Wu Wensheng Gan Han-Chieh Chao Philip S Yu | 2024/4/29 | |
Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction | Proceedings of the 2024 SIAM International Conference on Data Mining (SDM) | Kun Peng Lei Jiang Hao Peng Rui Liu Zhengtao Yu | 2024/4/20 |
Privacy Preserving Rare Itemset Mining | Information Sciences | Yijie Gui Wensheng Gan Yongdong Wu S Yu Philip | 2024/2/2 |
When llms meet cunning questions: A fallacy understanding benchmark for large language models | arXiv preprint arXiv:2402.11100 | Yinghui Li Qingyu Zhou Yuanzhen Luo Shirong Ma Yangning Li | 2024/2/16 |
Against Filter Bubbles: Diversified Music Recommendation via Weighted Hypergraph Embedding Learning | arXiv preprint arXiv:2402.16299 | Chaoguang Luo Liuying Wen Yong Qin Liangwei Yang Zhineng Hu | 2024/2/26 |
Rdgcn: Reinforced dependency graph convolutional network for aspect-based sentiment analysis | ACM International Conference on Web Search and Data Mining | Xusheng Zhao Hao Peng Qiong Dai Xu Bai Huailiang Peng | 2024/3/12 |
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning | Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24) | Li Sun Zhenhao Huang Zixi Wang Feiyang Wang Hao Peng | 2024/2/18 |
MultiFair: Model Fairness With Multiple Sensitive Attributes | IEEE Transactions on Neural Networks and Learning Systems | Huan Tian Bo Liu Tianqing Zhu Wanlei Zhou S Yu Philip | 2024/4/22 |
