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ORCIDPhilip S. Yu
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- affiliation: University of Illinois at Chicago
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2020 – today
- 2023
[j497]Shuai Zhou
, Chi Liu, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu:
Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity. ACM Comput. Surv. 55(8): 163:1-163:39 (2023)- [j496]Guiling Li, Shaolin Xu, Senzhang Wang, Philip S. Yu:
Forest based on Interval Transformation (FIT): A time series classifier with adaptive features. Expert Syst. Appl. 213(Part C): 118923 (2023) - [j495]Chuanren Liu, Ehsan Fakharizadi, Tong Xu, Philip S. Yu:
Recent advances in domain-driven data mining. Int. J. Data Sci. Anal. 15(1): 1-7 (2023) - [j494]Zhimeng Yang, Yazhou Ren, Zirui Wu, Ming Zeng, Jie Xu, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He:
DC-FUDA: Improving deep clustering via fully unsupervised domain adaptation. Neurocomputing 526: 109-120 (2023) - [j493]Junsan Zhang, Xiaomin Wang, Yao Wan, Leiquan Wang, Jian Wang, Philip S. Yu:
SOR-TC: Self-attentive octave ResNet with temporal consistency for compressed video action recognition. Neurocomputing 533: 191-205 (2023) - [j492]Yao Chen, Wensheng Gan, Yongdong Wu, Philip S. Yu:
Privacy-preserving federated mining of frequent itemsets. Inf. Sci. 625: 504-520 (2023) - [j491]Tao Zhang, Tianqing Zhu, Mengde Han, Fengwen Chen, Jing Li, Wanlei Zhou, Philip S. Yu:
Fairness in graph-based semi-supervised learning. Knowl. Inf. Syst. 65(2): 543-570 (2023) - [j490]Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu:
Adaptive curvature exploration geometric graph neural network. Knowl. Inf. Syst. 65(5): 2281-2304 (2023) - [j489]Hao Peng, Ruitong Zhang, Shaoning Li, Yuwei Cao, Shirui Pan, Philip S. Yu:
Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 980-998 (2023) - [j488]Yunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long:
PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2208-2225 (2023) - [j487]Tao Zhang, Congying Xia, Zhiwei Liu, Shu Zhao, Hao Peng, Philip S. Yu:
Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(3): 1-21 (2023) - [j486]Shuang Li, Xuming Hu, Li Lin, Aiwei Liu, Lijie Wen, Philip S. Yu:
A Multi-Level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1771-1783 (2023) - [j485]Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu:
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. IEEE Trans. Big Data 9(2): 415-436 (2023) - [j484]Chunkai Zhang, Quanjian Dai, Zilin Du, Wensheng Gan, Jian Weng, Philip S. Yu:
TUSQ: Targeted High-Utility Sequence Querying. IEEE Trans. Big Data 9(2): 512-527 (2023) - [j483]Xuan Lin, Zhe Quan, Zhi-Jie Wang, Yan Guo, Xiangxiang Zeng, Philip S. Yu:
Effectively Identifying Compound-Protein Interaction Using Graph Neural Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 932-943 (2023) - [j482]Ling Huang, Chang-Dong Wang, Philip S. Yu:
Higher Order Connection Enhanced Community Detection in Adversarial Multiview Networks. IEEE Trans. Cybern. 53(5): 3060-3074 (2023) - [j481]Gengsen Huang, Wensheng Gan, Jian Weng, Philip S. Yu:
US-Rule: Discovering Utility-driven Sequential Rules. ACM Trans. Knowl. Discov. Data 17(1): 10:1-10:22 (2023) - [j480]Jie Yang, Zhixiao Wang, Xiaobin Rui, Yahui Chai, Philip S. Yu, Lichao Sun:
Triadic Closure Sensitive Influence Maximization. ACM Trans. Knowl. Discov. Data 17(6): 77:1-77:26 (2023) - [j479]Houye Ji, Xiao Wang, Chuan Shi, Bai Wang, Philip S. Yu:
Heterogeneous Graph Propagation Network. IEEE Trans. Knowl. Data Eng. 35(1): 521-532 (2023) - [j478]Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He:
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(1): 560-574 (2023) - [j477]Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu, Philip S. Yu, Weixiong Zhang:
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. IEEE Trans. Knowl. Data Eng. 35(2): 1149-1170 (2023) - [j476]Dongxiao He, Tao Wang, Lu Zhai, Di Jin, Liang Yang, Yuxiao Huang, Zhiyong Feng, Philip S. Yu:
Adversarial Representation Mechanism Learning for Network Embedding. IEEE Trans. Knowl. Data Eng. 35(2): 1200-1213 (2023) - [j475]Qiaomin Yi, Ning Yang, Philip S. Yu:
Dual Adversarial Variational Embedding for Robust Recommendation. IEEE Trans. Knowl. Data Eng. 35(2): 1421-1433 (2023) - [j474]Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock:
Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation. IEEE Trans. Knowl. Data Eng. 35(2): 1747-1760 (2023) - [j473]Shu Zhao, Ziwei Du, Jie Chen, Yanping Zhang, Jie Tang, Philip S. Yu:
Hierarchical Representation Learning for Attributed Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2641-2656 (2023) - [j472]Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingsheng Liu, Mingming Zhang, Philip S. Yu, Lifang He:
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market. IEEE Trans. Knowl. Data Eng. 35(3): 2765-2780 (2023) - [j471]Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu, Yang Yang, Philip S. Yu:
Signed Network Representation by Preserving Multi-Order Signed Proximity. IEEE Trans. Knowl. Data Eng. 35(3): 3087-3100 (2023) - [j470]Zhenyu Qiu, Jia Wu, Wenbin Hu, Bo Du, Guocai Yuan, Philip S. Yu:
Temporal Link Prediction With Motifs for Social Networks. IEEE Trans. Knowl. Data Eng. 35(3): 3145-3158 (2023) - [j469]Lefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou, Philip S. Yu:
A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy. IEEE Trans. Knowl. Data Eng. 35(4): 3333-3346 (2023) - [j468]Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han:
GCN for HIN via Implicit Utilization of Attention and Meta-Paths. IEEE Trans. Knowl. Data Eng. 35(4): 3925-3937 (2023) - [j467]Xusheng Zhao, Qiong Dai, Jia Wu, Hao Peng, Mingsheng Liu, Xu Bai, Jianlong Tan, Senzhang Wang, Philip S. Yu:
Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation. IEEE Trans. Knowl. Data Eng. 35(4): 4077-4091 (2023) - [j466]Xiaoming Liu, Zhanwei Zhang, Lingjuan Lyu, Zhaohan Zhang, Shuai Xiao, Chao Shen, Philip S. Yu:
Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary Learning. IEEE Trans. Knowl. Data Eng. 35(5): 5356-5370 (2023) - [j465]Li Sun, Zhongbao Zhang, Feiyang Wang, Pengxin Ji, Jian Wen, Sen Su, Philip S. Yu:
Aligning Dynamic Social Networks: An Optimization Over Dynamic Graph Autoencoder. IEEE Trans. Knowl. Data Eng. 35(6): 5597-5611 (2023) - [j464]Jiyue Li, Senzhang Wang, Jiaqiang Zhang, Hao Miao, Junbo Zhang, Philip S. Yu:
Fine-Grained Urban Flow Inference With Incomplete Data. IEEE Trans. Knowl. Data Eng. 35(6): 5851-5864 (2023) - [j463]Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu:
Graph Self-Supervised Learning: A Survey. IEEE Trans. Knowl. Data Eng. 35(6): 5879-5900 (2023) - [j462]Gaoyang Guo, Chaokun Wang, Bencheng Yan, Yunkai Lou, Hao Feng, Junchao Zhu, Jun Chen, Fei He, Philip S. Yu:
Learning Adaptive Node Embeddings Across Graphs. IEEE Trans. Knowl. Data Eng. 35(6): 6028-6042 (2023) - [j461]Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Multiview Clustering via Proximity Learning in Latent Representation Space. IEEE Trans. Neural Networks Learn. Syst. 34(2): 973-986 (2023) - [j460]Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu:
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. ACM Trans. Inf. Syst. 41(2): 43:1-43:27 (2023) - [j459]Tianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou, Philip S. Yu:
Learning Games for Defending Advanced Persistent Threats in Cyber Systems. IEEE Trans. Syst. Man Cybern. Syst. 53(4): 2410-2422 (2023) - [c991]Mingxia Wang, Yun Xiong, Yao Zhang, Philip S. Yu, Yangyong Zhu:
Hierarchical Encoder-Decoder with Addressable Memory Network for Diagnosis Prediction. DASFAA (4) 2023: 266-275 - [c990]Yahui Chai, Xiaobin Rui, Jie Yang, Philip S. Yu, Zhixiao Wang:
A Graph Embedding Approach for Link Prediction via Triadic Closure Based Direct Aggregation and Weighted Concatenation. DASFAA (3) 2023: 341-350 - [c989]Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang:
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. WSDM 2023: 661-669 - [c988]Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu:
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. WSDM 2023: 769-777 - [c987]Xiaosu Wang, Yun Xiong, Beichen Kang, Yao Zhang, Philip S. Yu, Yangyong Zhu:
Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting. WSDM 2023: 904-912 - [c986]Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu:
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. WSDM 2023: 922-930 - [c985]Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu:
ConsRec: Learning Consensus Behind Interactions for Group Recommendation. WWW 2023: 240-250 - [c984]Cheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu:
A Post-Training Framework for Improving Heterogeneous Graph Neural Networks. WWW 2023: 251-262 - [c983]Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu:
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. WWW 2023: 499-510 - [c982]Hsi-Wen Chen, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen:
CMINet: a Graph Learning Framework for Content-aware Multi-channel Influence Diffusion. WWW 2023: 545-555 - [c981]Wensheng Gan, Zhenqiang Ye, Shicheng Wan, Philip S. Yu:
Web 3.0: The Future of Internet. WWW (Companion Volume) 2023: 1266-1275 - [c980]Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu:
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. WWW 2023: 1375-1385 - [c979]Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu:
Attacking Fake News Detectors via Manipulating News Social Engagement. WWW 2023: 3978-3986 - [c978]Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu:
Graph-based Village Level Poverty Identification. WWW 2023: 4115-4119 - [i386]Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu:
Self-organization Preserved Graph Structure Learning with Principle of Relevant Information. CoRR abs/2301.00015 (2023) - [i385]Xiaohan Li, Yuqing Liu, Zheng Liu, Philip S. Yu:
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation. CoRR abs/2301.03780 (2023) - [i384]Lilin Zhang, Ning Yang, Yanchao Sun, Philip S. Yu:
Provable Unrestricted Adversarial Training without Compromise with Generalizability. CoRR abs/2301.09069 (2023) - [i383]Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu:
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. CoRR abs/2301.12104 (2023) - [i382]Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu:
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. CoRR abs/2301.12197 (2023) - [i381]Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu:
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. CoRR abs/2302.00109 (2023) - [i380]Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu:
ConsRec: Learning Consensus Behind Interactions for Group Recommendation. CoRR abs/2302.03555 (2023) - [i379]Minqi Jiang, Chaochuan Hou, Ao Zheng, Xiyang Hu, Songqiao Han, Hailiang Huang, Xiangnan He, Philip S. Yu, Yue Zhao:
Weakly Supervised Anomaly Detection: A Survey. CoRR abs/2302.04549 (2023) - [i378]Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu:
Graph-based Village Level Poverty Identification. CoRR abs/2302.06862 (2023) - [i377]Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu:
Attacking Fake News Detectors via Manipulating News Social Engagement. CoRR abs/2302.07363 (2023) - [i376]Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun:
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. CoRR abs/2302.09419 (2023) - [i375]Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S. Yu, Lichao Sun:
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT. CoRR abs/2303.04226 (2023) - [i374]Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu:
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. CoRR abs/2303.09778 (2023) - [i373]Aiwei Liu, Xuming Hu, Lijie Wen, Philip S. Yu:
A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability. CoRR abs/2303.13547 (2023) - [i372]Cheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu:
A Post-Training Framework for Improving Heterogeneous Graph Neural Networks. CoRR abs/2304.00698 (2023) - [i371]Yao Chen, Wensheng Gan, Gengsen Huang, Yongdong Wu, Philip S. Yu:
Privacy-Preserving Federated Discovery of DNA Motifs with Differential Privacy. CoRR abs/2304.01689 (2023) - [i370]Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu:
Graph Collaborative Signals Denoising and Augmentation for Recommendation. CoRR abs/2304.03344 (2023) - [i369]Wensheng Gan, Zhenqiang Ye, Shicheng Wan, Philip S. Yu:
Web 3.0: The Future of Internet. CoRR abs/2304.06032 (2023) - [i368]Shicheng Wan, Hong Lin, Wensheng Gan, Jiahui Chen, Philip S. Yu:
Web3: The Next Internet Revolution. CoRR abs/2304.06111 (2023) - [i367]Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu:
Conditional Denoising Diffusion for Sequential Recommendation. CoRR abs/2304.11433 (2023) - [i366]Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu:
Hierarchical State Abstraction Based on Structural Information Principles. CoRR abs/2304.12000 (2023) - [i365]Zefeng Chen, Wensheng Gan, Jiayi Sun, Jiayang Wu, Philip S. Yu:
Open Metaverse: Issues, Evolution, and Future. CoRR abs/2304.13931 (2023) - [i364]Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu:
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. CoRR abs/2305.03503 (2023) - [i363]Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu:
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. CoRR abs/2305.03507 (2023) - [i362]Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu:
Contrastive Graph Clustering in Curvature Spaces. CoRR abs/2305.03555 (2023) - [i361]Yawen Yang, Xuming Hu, Fukun Ma, Shuang Li, Aiwei Liu, Lijie Wen, Philip S. Yu:
Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition. CoRR abs/2305.07266 (2023) - [i360]Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu:
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CoRR abs/2305.07633 (2023) - [i359]Shuang Li, Xuming Hu, Aiwei Liu, Yawen Yang, Fukun Ma, Philip S. Yu, Lijie Wen:
Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer. CoRR abs/2305.12761 (2023) - 2022
- [b5]Chuan Shi, Xiao Wang, Philip S. Yu:
Heterogeneous Graph Representation Learning and Applications. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2022, ISBN 978-981-16-6165-5, pp. 1-318 - [j458]Mohammed A. Fouad, Wedad Hussein, Sherine Rady, Philip S. Yu, Tarek F. Gharib:
An Efficient Approach for Mining Reliable High Utility Patterns. IEEE Access 10: 1419-1431 (2022) - [j457]Mohammed A. Fouad, Wedad Hussein, Sherine Rady, Philip S. Yu, Tarek F. Gharib:
An Efficient Approach for Rational Next-Basket Recommendation. IEEE Access 10: 75657-75671 (2022) - [j456]Jiawei Liu, Chuan Shi, Cheng Yang, Zhiyuan Lu, Philip S. Yu:
A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources. AI Open 3: 40-57 (2022) - [j455]Lefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou, Philip S. Yu:
More than Privacy: Adopting Differential Privacy in Game-theoretic Mechanism Design. ACM Comput. Surv. 54(7): 136:1-136:37 (2022) - [j454]Jianguo Chen, Kenli Li, Zhaolei Zhang, Keqin Li, Philip S. Yu:
A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19. ACM Comput. Surv. 54(8): 158:1-158:32 (2022) - [j453]Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Philip S. Yu, Xuyun Zhang:
Membership Inference Attacks on Machine Learning: A Survey. ACM Comput. Surv. 54(11s): 235:1-235:37 (2022) - [j452]Shirui Pan, Shaoxiong Ji, Di Jin, Feng Xia, Philip S. Yu:
Guest Editorial: Graph-powered machine learning in future-generation computing systems. Future Gener. Comput. Syst. 126: 88-90 (2022) - [j451]Zishuo Cheng, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu, Congcong Zhu:
Multi-agent reinforcement learning via knowledge transfer with differentially private noise. Int. J. Intell. Syst. 37(1): 799-828 (2022) - [j450]Shuai Gao, Zhongbao Zhang, Sen Su, Philip S. Yu:
REBORN: Transfer learning based social network alignment. Inf. Sci. 589: 265-282 (2022) - [j449]Boyan Wang, Xuegang Hu, Chenwei Zhang, Pei-Pei Li, Philip S. Yu:
Hierarchical GAN-Tree and Bi-Directional Capsules for multi-label image classification. Knowl. Based Syst. 238: 107882 (2022) - [j448]Rui Wang, Ning Yang, Philip S. Yu:
Learning aspect-level complementarity for intent-aware complementary recommendation. Knowl. Based Syst. 258: 109936 (2022) - [j447]Xusheng Zhao, Jia Wu, Hao Peng, Amin Beheshti, Jessica J. M. Monaghan, David McAlpine, Heivet Hernandez-Perez, Mark Dras, Qiong Dai, Yangyang Li, Philip S. Yu, Lifang He:
Deep reinforcement learning guided graph neural networks for brain network analysis. Neural Networks 154: 56-67 (2022) - [j446]Zhiyu Yao, Yunbo Wang, Jianmin Wang, Philip S. Yu, Mingsheng Long:
VideoDG: Generalizing Temporal Relations in Videos to Novel Domains. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7989-8004 (2022) - [j445]Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, Tianyi Wu:
Heterogeneous Information Networks: the Past, the Present, and the Future. Proc. VLDB Endow. 15(12): 3807-3811 (2022) - [j444]Qian Li, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Lihong Wang, Philip S. Yu, Zheng Wang:
Reinforcement Learning-Based Dialogue Guided Event Extraction to Exploit Argument Relations. IEEE ACM Trans. Audio Speech Lang. Process. 30: 520-533 (2022) - [j443]Qianren Mao, Jianxin Li, Chenghua Lin, Congwen Chen, Hao Peng, Lihong Wang, Philip S. Yu:
Adaptive Pre-Training and Collaborative Fine-Tuning: A Win-Win Strategy to Improve Review Analysis Tasks. IEEE ACM Trans. Audio Speech Lang. Process. 30: 622-634 (2022) - [j442]Qianren Mao, Jianxin Li, Hao Peng, Shizhu He, Lihong Wang, Philip S. Yu, Zheng Wang:
Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1665-1678 (2022) - [j441]Di Jin, Wenjun Wang, Guojie Song, Philip S. Yu, Jiawei Han:
Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big Data. IEEE Trans. Big Data 8(4): 867-868 (2022) - [j440]Hao Peng, Renyu Yang, Zheng Wang, Jianxin Li, Lifang He, Philip S. Yu, Albert Y. Zomaya, Rajiv Ranjan:
Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks. IEEE Trans. Computers 71(3): 628-642 (2022) - [j439]Jie Xu, Zhoujun Li, Feiran Huang, Chaozhuo Li, Philip S. Yu:
Visual Sentiment Analysis With Social Relations-Guided Multiattention Networks. IEEE Trans. Cybern. 52(6): 4472-4484 (2022) - [j438]Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
An Autoencoder Framework With Attention Mechanism for Cross-Domain Recommendation. IEEE Trans. Cybern. 52(6): 5229-5241 (2022) - [j437]Dayong Ye, Tianqing Zhu, Zishuo Cheng, Wanlei Zhou, Philip S. Yu:
Differential Advising in Multiagent Reinforcement Learning. IEEE Trans. Cybern. 52(6): 5508-5521 (2022) - [j436]Chang-Dong Wang, Wei Shi, Ling Huang, Kun-Yu Lin, Dong Huang, Philip S. Yu:
Node Pair Information Preserving Network Embedding Based on Adversarial Networks. IEEE Trans. Cybern. 52(7): 5908-5922 (2022) - [j435]Mansheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Philip S. Yu:
Multiview Subspace Clustering With Grouping Effect. IEEE Trans. Cybern. 52(8): 7655-7668 (2022) - [j434]