Philip S. Yu

ORCID

Publication Activity (10 Years)

Years Active: 1980-2023
Publications (10 Years): 1163

Top Venues

CoRR

IEEE Trans. Knowl. Data Eng.

CIKM

IEEE BigData

This page only lists publications with an associated author ORCID identifier.

Publications

Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu
ConsRec: Learning Consensus Behind Interactions for Group Recommendation. CoRR (2023)
Yibo Wang, Yanbing Xue, Bo Liu, Musen Wen, Wenting Zhao, Stephen Guo, Philip S. Yu
Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce. CoRR (2023)
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 (2023)
Hoang Nguyen, Chenwei Zhang, Tao Zhang, Eugene Rohrbaugh, Philip S. Yu
Enhancing Cross-lingual Transfer via Phonemic Transcription Integration. ACL (Findings) (2023)
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) (2023)
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) (2023)
Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. SIGIR (2023)
Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. SIGIR (2023)
Yao Chen, Wensheng Gan, Gengsen Huang, Yongdong Wu, Philip S. Yu
Privacy-Preserving Federated Discovery of DNA Motifs with Differential Privacy. CoRR (2023)
Zefeng Chen, Wensheng Gan, Jiayi Sun, Jiayang Wu, Philip S. Yu
Open Metaverse: Issues, Evolution, and Future. CoRR (2023)
Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. AAAI (2023)
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 (2023)
Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu
Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing. CoRR (2023)
Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. ACL (Findings) (2023)
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) (2023)
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 (2023)
Xuming Hu, Zhijiang Guo, Guanyu Wu, Lijie Wen, Philip S. Yu
Give Me More Details: Improving Fact-Checking with Latent Retrieval. CoRR (2023)
Xuan Lin, Lichang Dai, Yafang Zhou, Zu-Guo Yu, Wen Zhang, Jian-Yu Shi, Dong-Sheng Cao, Li Zeng, Haowen Chen, Bosheng Song, Philip S. Yu, Xiangxiang Zeng
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction. CoRR (2023)
Cheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu
A Post-Training Framework for Improving Heterogeneous Graph Neural Networks. WWW (2023)
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)
Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. CoRR (2023)
Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. ACL (2) (2023)
Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. CoRR (2023)
Gengsen Huang, Wensheng Gan, Jian Weng, Philip S. Yu
US-Rule: Discovering Utility-driven Sequential Rules. ACM Trans. Knowl. Discov. Data 17 (1) (2023)
Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu
Graph-based Village Level Poverty Identification. WWW (2023)
Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin, Wang Lu, Yiqiang Chen, Wenjun Zeng, Philip S. Yu
Generalizing to Unseen Domains: A Survey on Domain Generalization. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
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 (2023)
Tingting Liang, Congying Xia, Haoran Xu, Ziqiang Zhao, Yuyu Yin, Liang Chen, Philip S. Yu
Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
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) (2023)
Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering. CoRR (2023)
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, 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. CoRR (2023)
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 (2023)
Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces. AAAI (2023)
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) (2023)
Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip S. Yu, Bryan Hooi
Sketch-Based Anomaly Detection in Streaming Graphs. KDD (2023)
Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Cheng, Bing Yin, Suhang Wang, Philip S. Yu
Exploiting Intent Evolution in E-commercial Query Recommendation. KDD (2023)
Fukun Ma, Xuming Hu, Aiwei Liu, Yawen Yang, Shuang Li, Philip S. Yu, Lijie Wen
AMR-based Network for Aspect-based Sentiment Analysis. ACL (1) (2023)
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 (2023)
Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu
LLMRec: Benchmarking Large Language Models on Recommendation Task. CoRR (2023)
Jie Xu, Yazhou Ren, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He
Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Tingting Liang, Congying Xia, Ziqiang Zhao, Yixuan Jiang, Yuyu Yin, Philip S. Yu
Transferring From Textual Entailment to Biomedical Named Entity Recognition. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (4) (2023)
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) (2023)
Aiwei Liu, Xuming Hu, Lijie Wen, Philip S. Yu
A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability. CoRR (2023)
Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
Conditional Denoising Diffusion for Sequential Recommendation. CoRR (2023)
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) (2023)
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)
Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. CoRR (2023)
Shicheng Wan, Hong Lin, Wensheng Gan, Jiahui Chen, Philip S. Yu
Web3: The Next Internet Revolution. CoRR (2023)
Mengzhu Sun, Xi Zhang, Jianqiang Ma, Sihong Xie, Yazheng Liu, Philip S. Yu
Inconsistent Matters: A Knowledge-guided Dual-consistency Network for Multi-modal Rumor Detection. CoRR (2023)
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) (2023)
Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu
Graph Collaborative Signals Denoising and Augmentation for Recommendation. SIGIR (2023)
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) (2023)
Yang Gao, Peng Zhang, Chuan Zhou, Hong Yang, Zhao Li, Yue Hu, Philip S. Yu
HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Cheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu
A Post-Training Framework for Improving Heterogeneous Graph Neural Networks. CoRR (2023)
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. CoRR (2023)
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 (2023)
Xiaohan Li, Yuqing Liu, Zheng Liu, Philip S. Yu
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation. CoRR (2023)
Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Shan Xue, Qianli Xing, Philip S. Yu
C-DeepTrust: A Context-Aware Deep Trust Prediction Model in Online Social Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (6) (2023)
Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu
Hierarchical State Abstraction Based on Structural Information Principles. CoRR (2023)
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) (2023)
Xuming Hu, Zhaochen Hong, Zhijiang Guo, Lijie Wen, Philip S. Yu
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence. CoRR (2023)
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) (2023)
Xuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip S. Yu
MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media. SIGIR (2023)
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)
Qiaomin Yi, Ning Yang, Philip S. Yu
Dual Adversarial Variational Embedding for Robust Recommendation. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
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) (2023)
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) (2023)
Mingxia Wang, Yun Xiong, Yao Zhang, Philip S. Yu, Yangyong Zhu
Hierarchical Encoder-Decoder with Addressable Memory Network for Diagnosis Prediction. DASFAA (4) (2023)
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) (2023)
Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. WWW (2023)
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)
Daokun Zhang, Jie Yin, Philip S. Yu
Link Prediction with Contextualized Self-Supervision. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Yan Kang, Haining Wang, Bin Pu, Liu Tao, Jianguo Chen, Philip S. Yu
A Hybrid Two-Stage Teaching-Learning-Based Optimization Algorithm for Feature Selection in Bioinformatics. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (3) (2023)
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) (2023)
Huiqiang Chen, Tianqing Zhu, Tao Zhang, Wanlei Zhou, Philip S. Yu
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off. CoRR (2023)
Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Philip S. Yu
Discovering High Utility Episodes in Sequences. IEEE Trans. Artif. Intell. 4 (3) (2023)
Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu
Attacking Fake News Detectors via Manipulating News Social Engagement. CoRR (2023)
Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu
A Private Watermark for Large Language Models. CoRR (2023)
Lilin Zhang, Ning Yang, Yanchao Sun, Philip S. Yu
Provable Unrestricted Adversarial Training without Compromise with Generalizability. CoRR (2023)
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) (2023)
Zefeng Chen, Wensheng Gan, Gengsen Huang, Zhenlian Qi, Yan Li, Philip S. Yu
TALENT: Targeted Mining of Non-overlapping Sequential Patterns. CoRR (2023)
Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu
Graph Collaborative Signals Denoising and Augmentation for Recommendation. CoRR (2023)
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. ACL (Findings) (2023)
Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu
CONGREGATE: Contrastive Graph Clustering in Curvature Spaces. IJCAI (2023)
Jiangshu Du, Wenpeng Yin, Congying Xia, Philip S. Yu
Learning to Select from Multiple Options. AAAI (2023)
Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu, Sihong Xie, Philip S. Yu, Xi Zhang
Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection. IJCNN (2023)
Zheng Liu, Xiaohan Li, Philip S. Yu
Mitigating Health Disparity on Biased Electronic Health Records via Deconfounder. CoRR (2023)
Ling Huang, Chang-Dong Wang, Philip S. Yu
Higher Order Connection Enhanced Community Detection in Adversarial Multiview Networks. IEEE Trans. Cybern. 53 (5) (2023)
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) (2023)
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) (2023)
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) (2023)
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 (2023)
Xuming Hu, Junzhe Chen, Shiao Meng, Lijie Wen, Philip S. Yu
SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction. SIGIR (2023)
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 (2023)
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 (2023)
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) (2023)
Yao Chen, Wensheng Gan, Yongdong Wu, Philip S. Yu
Privacy-preserving federated mining of frequent itemsets. Inf. Sci. 625 (2023)
Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. CoRR (2023)
Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. CoRR (2023)
Chin-Yuan Yeh, Hsi-Wen Chen, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen
Planning Data Poisoning Attacks on Heterogeneous Recommender Systems in a Multiplayer Setting. ICDE (2023)

Philip S. Yu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Philip S. Yu