Philip S. Yu

ORCID

Publication Activity (10 Years)

Years Active: 1980-2024
Publications (10 Years): 1303

Top Venues

CoRR

IEEE Trans. Knowl. Data Eng.

CIKM

IEEE BigData

Publications

Pu Li, Xiaoyan Yu, Hao Peng, Yantuan Xian, Linqin Wang, Li Sun, Jingyun Zhang, Philip S. Yu
Relational Prompt-based Pre-trained Language Models for Social Event Detection. CoRR (2024)
Fangxin Wang, Yuqing Liu, Kay Liu, Yibo Wang, Sourav Medya, Philip S. Yu
Uncertainty in Graph Neural Networks: A Survey. CoRR (2024)
Laiqiao Qin, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions. CoRR (2024)
Jingyu Pu, Chenhang Cui, Xinyue Chen, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He
Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering. AAAI (2024)
Faqian Guan, Tianqing Zhu, Hui Sun, Wanlei Zhou, Philip S. Yu
Large Language Models for Link Stealing Attacks Against Graph Neural Networks. CoRR (2024)
Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
Conditional Denoising Diffusion for Sequential Recommendation. PAKDD (5) (2024)
Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu
Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces. CoRR (2024)
Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo
Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions. CoRR (2024)
Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma, Philip S. Yu
Cyclic Neural Network. CoRR (2024)
Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu
Contrastive sequential interaction network learning on co-evolving Riemannian spaces. Int. J. Mach. Learn. Cybern. 15 (4) (2024)
Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. CoRR (2024)
Wen-Zhi Li, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
Towards Effective and Robust Graph Contrastive Learning With Graph Autoencoding. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Yuwei Cao, Hao Peng, Zhengtao Yu, Philip S. Yu
Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection. AAAI (2024)
Xiangjue Dong, Yibo Wang, Philip S. Yu, James Caverlee
Disclosure and Mitigation of Gender Bias in LLMs. CoRR (2024)
Huiqiang Chen, Tianqing Zhu, Tao Zhang, Wanlei Zhou, Philip S. Yu
Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff. ACM Comput. Surv. 56 (2) (2024)
Qihua Feng, Peiya Li, Zhixun Lu, Chaozhuo Li, Zefan Wang, Zhiquan Liu, Chunhui Duan, Feiran Huang, Jian Weng, Philip S. Yu
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing. IEEE Trans. Circuits Syst. Video Technol. 34 (8) (2024)
Tao Zhang, Chenwei Zhang, Xian Li, Jingbo Shang, Hoang Nguyen, Philip S. Yu
Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products. ACL (Findings) (2024)
Chaoguang Luo, Liuying Wen, Yong Qin, Liangwei Yang, Zhineng Hu, Philip S. Yu
Against Filter Bubbles: Diversified Music Recommendation via Weighted Hypergraph Embedding Learning. CoRR (2024)
Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection. CoRR (2024)
Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. CoRR (2024)
Chunkai Zhang, Yuting Yang, Zilin Du, Wensheng Gan, Philip S. Yu
HUSP-SP: Faster Utility Mining on Sequence Data. ACM Trans. Knowl. Discov. Data 18 (1) (2024)
Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. ACL (Findings) (2024)
Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. CoRR (2024)
Wenting Zhao, Zhongfen Deng, Shweta Yadav, Philip S. Yu
Heterogeneous Knowledge Grounding for Medical Question Answering with Retrieval Augmented Large Language Model. WWW (Companion Volume) (2024)
Shang Wang, Tianqing Zhu, Bo Liu, Ming Ding, Xu Guo, Dayong Ye, Wanlei Zhou, Philip S. Yu
Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey. CoRR (2024)
Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu
Multi-Relational Structural Entropy. CoRR (2024)
Wenjing Chang, Kay Liu, Kaize Ding, Philip S. Yu, Jianjun Yu
Multitask Active Learning for Graph Anomaly Detection. CoRR (2024)
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
Instruction-based Hypergraph Pretraining. SIGIR (2024)
Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation. CoRR (2024)
Hao Peng, Jian Yang, Jia Wu, Philip S. Yu
Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 2. ACM Trans. Web 18 (2) (2024)
Li Sun, Jingbin Hu, Suyang Zhou, Zhenhao Huang, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
RicciNet: Deep Clustering via A Riemannian Generative Model. WWW (2024)
Zhixiao Wang, Yahui Chai, Chengcheng Sun, Xiaobin Rui, Hao Mi, Xinyu Zhang, Philip S. Yu
A Weighted Symmetric Graph Embedding Approach for Link Prediction in Undirected Graphs. IEEE Trans. Cybern. 54 (2) (2024)
Bin Pu, Jiansong Liu, Yan Kang, Jianguo Chen, Philip S. Yu
MVSTT: A Multiview Spatial-Temporal Transformer Network for Traffic-Flow Forecasting. IEEE Trans. Cybern. 54 (3) (2024)
Chen Wang, Fangxin Wang, Ruocheng Guo, Yueqing Liang, Kay Liu, Philip S. Yu
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction. CoRR (2024)
Yao Chen, Wensheng Gan, Gengsen Huang, Yongdong Wu, Philip S. Yu
Privacy-preserving federated discovery of DNA motifs with differential privacy. Expert Syst. Appl. 249 (2024)
Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing. CoRR (2024)
Jiayang Wu, Wensheng Gan, Han-Chieh Chao, Philip S. Yu
Geospatial Big Data: Survey and Challenges. CoRR (2024)
Feng He, Tianqing Zhu, Dayong Ye, Bo Liu, Wanlei Zhou, Philip S. Yu
The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies. CoRR (2024)
Linlin Wang, Tianqing Zhu, Wanlei Zhou, Philip S. Yu
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives. CoRR (2024)
Zefeng Chen, Wensheng Gan, Gengsen Huang, Yanxin Zheng, Philip S. Yu
Towards utility-driven contiguous sequential patterns in uncertain multi-sequences. Knowl. Based Syst. 284 (2024)
Yue Huang, Kai Shu, Philip S. Yu, Lichao Sun
From Creation to Clarification: ChatGPT's Journey Through the Fake News Quagmire. WWW (Companion Volume) (2024)
Lingjuan Lyu, Han Yu, Xingjun Ma, Chen Chen, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu
Privacy and Robustness in Federated Learning: Attacks and Defenses. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Libo Qin, Qiguang Chen, Yuhang Zhou, Zhi Chen, Yinghui Li, Lizi Liao, Min Li, Wanxiang Che, Philip S. Yu
Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers. CoRR (2024)
Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu
Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction. SDM (2024)
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chao Zhang, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
Hao Peng, Jia Wu, Jiaxu Cui, Philip S. Yu
Introduction to the special issue on recent advances in graph learning: theory, algorithms, applications, and systems. Int. J. Mach. Learn. Cybern. 15 (1) (2024)
Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu
Knowledge Graph Context-Enhanced Diversified Recommendation. WSDM (2024)
Shen Wang, Tianlong Xu, Hang Li, Chaoli Zhang, Joleen Liang, Jiliang Tang, Philip S. Yu, Qingsong Wen
Large Language Models for Education: A Survey and Outlook. CoRR (2024)
Libo Qin, Qiguang Chen, Xiachong Feng, Yang Wu, Yongheng Zhang, Yinghui Li, Min Li, Wanxiang Che, Philip S. Yu
Large Language Models Meet NLP: A Survey. CoRR (2024)
Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
GC-Bench: An Open and Unified Benchmark for Graph Condensation. CoRR (2024)
Shuaiqi Liu, Jiannong Cao, Zhongfen Deng, Wenting Zhao, Ruosong Yang, Zhiyuan Wen, Philip S. Yu
Neural Abstractive Summarization for Long Text and Multiple Tables. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Xuming Hu, Zhaochen Hong, Chenwei Zhang, Aiwei Liu, Shiao Meng, Lijie Wen, Irwin King, Philip S. Yu
Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Chuan Shi, Cheng Yang, Yuan Fang, Lichao Sun, Philip S. Yu
Lecture-style Tutorial: Towards Graph Foundation Models. WWW (Companion Volume) (2024)
Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan, Philip S. Yu
Towards complex dynamic physics system simulation with graph neural ordinary equations. Neural Networks 176 (2024)
Zefeng Chen, Wensheng Gan, Jiayi Sun, Jiayang Wu, Philip S. Yu
Open Metaverse: Issues, Evolution, and Future. WWW (Companion Volume) (2024)
Yijie Gui, Wensheng Gan, Yongdong Wu, Philip S. Yu
Privacy preserving rare itemset mining. Inf. Sci. 662 (2024)
Chunkai Zhang, Maohua Lyu, Wensheng Gan, Philip S. Yu
Totally-ordered Sequential Rules for Utility Maximization. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Xinqi Du, Ziyue Li, Cheng Long, Yongheng Xing, Philip S. Yu, Hechang Chen
FELight: Fairness-Aware Traffic Signal Control via Sample-Efficient Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Yuqing Liu, Yu Wang, Lichao Sun, Philip S. Yu
Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models. CoRR (2024)
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Chen Wang, Ziwei Fan, Liangwei Yang, Mingdai Yang, Xiaolong Liu, Zhiwei Liu, Philip S. Yu
Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation. KDD (2024)
Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning. CoRR (2024)
Xinqi Du, Hechang Chen, Che Wang, Yongheng Xing, Jielong Yang, Philip S. Yu, Yi Chang, Lifang He
Robust multi-agent reinforcement learning via Bayesian distributional value estimation. Pattern Recognit. 145 (2024)
Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo
Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions. ACL (Findings) (2024)
Qian Li, Jianxin Li, Jiawei Sheng, Shiyao Cui, Jia Wu, Yiming Hei, Hao Peng, Shu Guo, Lihong Wang, Amin Beheshti, Philip S. Yu
A Survey on Deep Learning Event Extraction: Approaches and Applications. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu
Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu
Taxonomy-Guided Zero-Shot Recommendations with LLMs. CoRR (2024)
Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection. KDD (2024)
Hengzhu Liu, Ping Xiong, Tianqing Zhu, Philip S. Yu
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks. CoRR (2024)
Gengsen Huang, Wensheng Gan, Philip S. Yu
TaSPM: Targeted Sequential Pattern Mining. ACM Trans. Knowl. Discov. Data 18 (5) (2024)
Hao Peng, Jingyun Zhang, Xiang Huang, Zhifeng Hao, Angsheng Li, Zhengtao Yu, Philip S. Yu
Unsupervised Social Bot Detection via Structural Information Theory. CoRR (2024)
Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu
Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. CoRR (2024)
Chuanpan Zheng, Xiaoliang Fan, Shirui Pan, Haibing Jin, Zhaopeng Peng, Zonghan Wu, Cheng Wang, Philip S. Yu
Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Yinghui Li, Qingyu Zhou, Yuanzhen Luo, Shirong Ma, Yangning Li, Hai-Tao Zheng, Xuming Hu, Philip S. Yu
When LLMs Meet Cunning Questions: A Fallacy Understanding Benchmark for Large Language Models. CoRR (2024)
Hoang Nguyen, Chenwei Zhang, Ye Liu, Natalie Parde, Eugene Rohrbaugh, Philip S. Yu
CORI: CJKV Benchmark with Romanization Integration - a Step towards Cross-lingual Transfer beyond Textual Scripts. LREC/COLING (2024)
Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. CoRR (2024)
Hoang H. Nguyen, Chenwei Zhang, Ye Liu, Natalie Parde, Eugene Rohrbaugh, Philip S. Yu
CORI: CJKV Benchmark with Romanization Integration - A step towards Cross-lingual Transfer Beyond Textual Scripts. CoRR (2024)
Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu
Machine Unlearning: A Survey. ACM Comput. Surv. 56 (1) (2024)
Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Qingyang Wu, Zhongfen Deng, Jiangshu Du, Shuaiqi Liu, Yunlong Xu, Philip S. Yu
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning. NAACL-HLT (2024)
Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu
A Comprehensive Survey on Community Detection With Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Jiaqian Ren, Hao Peng, Lei Jiang, Zhiwei Liu, Jia Wu, Zhengtao Yu, Philip S. Yu
Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. CoRR (2024)
Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. CoRR (2024)
Xinqi Du, Hechang Chen, Yongheng Xing, Philip S. Yu, Lifang He
A Contrastive-Enhanced Ensemble Framework for Efficient Multi-Agent Reinforcement Learning. Expert Syst. Appl. 245 (2024)
Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu
Beyond the Known: Novel Class Discovery for Open-world Graph Learning. CoRR (2024)
Wenjing Chang, Kay Liu, Philip S. Yu, Jianjun Yu
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement. CoRR (2024)
Hanyi Xu, Wensheng Gan, Zhenlian Qi, Jiayang Wu, Philip S. Yu
Large Language Models for Education: A Survey. CoRR (2024)
Chao Chen, Chenghua Guo, Rui Xu, Xiangwen Liao, Xi Zhang, Sihong Xie, Hui Xiong, Philip S. Yu
Uncertainty Quantification on Graph Learning: A Survey. CoRR (2024)
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
Instruction-based Hypergraph Pretraining. CoRR (2024)
Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis. WSDM (2024)
Yuxuan Liang, Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson
The 13th International Workshop on Urban Computing. KDD (2024)
Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu
Graph Neural Networks for Brain Graph Learning: A Survey. CoRR (2024)
Jia Wu, Jian Yang, Philip S. Yu, Carlo Condo
Special Section on Community Detection in Time-Varying Information and Computing Networks: Theory, Models, and Applications. IEEE Trans. Emerg. Top. Comput. 12 (2) (2024)
Yinghui Li, Shang Qin, Jingheng Ye, Shirong Ma, Yangning Li, Libo Qin, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Philip S. Yu
Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction. CoRR (2024)
Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu
An Unforgeable Publicly Verifiable Watermark for Large Language Models. ICLR (2024)
Xiang Huang, Hao Peng, Dongcheng Zou, Zhiwei Liu, Jianxin Li, Kay Liu, Jia Wu, Jianlin Su, Philip S. Yu
CoSENT: Consistent Sentence Embedding via Similarity Ranking. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Siyuan Guo, Lixin Zou, Hechang Chen, Bohao Qu, Haotian Chi, Philip S. Yu, Yi Chang
Sample Efficient Offline-to-Online Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Ting-Ting Su, Chang-Dong Wang, Wudong Xi, Jian-Huang Lai, Philip S. Yu
Hierarchical Alignment With Polar Contrastive Learning for Next-Basket Recommendation. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)

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Publication Activity (10 Years)

Top Topics

Top Venues

Philip S. Yu