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Philip S. Yu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

980

Venues

30

Active years

1987–2026

Best venue rank

A*

Where they publish

Papers

Showing the 300 most recent indexed papers.

YearVenueTitleAuthors
2026AAAIS²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening.Bowei He, Bowen Gao, Yankai Chen, Yanyan Lan, Chen Ma, Philip S. Yu, Ya-Qin Zhang, Wei-Ying Ma
2026AAAILearning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection.Li Sun, Lanxu Yang, Jiayu Tian, Bowen Fang, Xiaoyan Yu, Junda Ye, Peng Tang, Hao Peng, Philip S. Yu
2026AAAIHyperbolic Continuous Structural Entropy for Hierarchical Clustering.Guangjie Zeng, Hao Peng, Angsheng Li, Li Sun, Chunyang Liu, Shengze Li, Yicheng Pan, Philip S. Yu
2026ACLPaper2Web: Let's Make Your Paper Alive!Yuhang Chen, Tianpeng Lv, Yao Wan, Philip S. Yu, Dongping Chen
2026ACLFOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning.Yujie Feng, Hao Wang, Jian Li, Xu Chu, Zhaolu Kang, Yiran Liu, Yasha Wang, Philip S. Yu, Xiao-Ming Wu
2026ACLSciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models.Yiyang Gu, Junwei Yang, Junyu Luo, Ye Yuan, Bin Feng, Yingce Xia, Shufang Xie, Kaili Liu, Bohan Wu, Qi Shi, Haoran Li, Beier Xiao, Zhiping Xiao, Xiao Luo, Weizhi Zhang, Philip S. Yu, Zequn Liu, Ming Zhang
2026ACLMany-Shot Scaling of In-Context Learning with Self-Generated Demonstrations.Zhengyao Gu, Henry Peng Zou, Yankai Chen, Aiwei Liu, Weizhi Zhang, Philip S. Yu
2026ACLDeep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety.Wei-Chieh Huang, Henry Peng Zou, Yaozu Wu, Dongyuan Li, Yankai Chen, Weizhi Zhang, Yangning Li, Angelo Zangari, Jizhou Guo, Chunyu Miao, Liancheng Fang, Langzhou He, Yinghui Li, Renhe Jiang, Philip S. Yu
2026ACLWhy LLMs Hallucinate on Structured Knowledge: A Mechanistic Analysis of Reasoning over Linearized Representations.Shanghao Li, Jinda Han, Yibo Wang, Yuanjie Zhu, Zihe Song, Langzhou He, Kenan Kamel A Alghythee, Philip S. Yu
2026ACLMultiFileTest: A Multi-File-Level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms.Yibo Wang, Congying Xia, Wenting Zhao, Jiangshu Du, Chunyu Miao, Zhongfen Deng, Philip S. Yu, Chen Xing
2026ACLGAM: Hierarchical Graph-based Agentic Memory for LLM Agents.Zhaofen Wu, Hanrong Zhang, Fulin Lin, Wujiang Xu, Xinran Xu, Yankai Chen, Henry Peng Zou, Shaowen Chen, Weizhi Zhang, Xue Liu, Philip S. Yu, Hongwei Wang
2026ACLErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection.Yibo Yan, Shen Wang, Jiahao Huo, Hang Li, Boyan Li, Jiamin Su, Xiong Gao, Yifan Zhang, Tianlong Xu, Zhendong Chu, Aoxiao Zhong, Kun Wang, Hui Xiong, Philip S. Yu, Xuming Hu, Qingsong Wen
2026ACLPosition: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning.Yibo Yan, Shen Wang, Jiahao Huo, Jingheng Ye, Zhendong Chu, Xuming Hu, Philip S. Yu, Carla P. Gomes, Bart Selman, Qingsong Wen
2026ACLPersonaAgent: Bridging Memory and Action for Personalized LLM Agents.Weizhi Zhang, Xinyang Zhang, Chenwei Zhang, Liangwei Yang, Jingbo Shang, Zhepei Wei, Henry Peng Zou, Zijie Huang, Zhengyang Wang, Yifan Gao, Xiaoman Pan, Lian Xiong, Jingguo Liu, Philip S. Yu, Xian Li
2026ACLLLM-Based Human-Agent Collaboration and Interaction Systems: A Survey.Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Jizhou Guo, Yankai Chen, Chunyu Miao, Hoang H. Nguyen, Yue Zhou, Weizhi Zhang, Liancheng Fang, Hanrong Zhang, Fangxin Wang, Pengfei Zhang, Langzhou He, Yangning Li, Dongyuan Li, Renhe Jiang, Philip S. Yu
2025AAAIPioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics.Li Sun, Ziheng Zhang, Zixi Wang, Yujie Wang, Qiqi Wan, Hao Li, Hao Peng, Philip S. Yu
2025AAAIStructural Entropy Guided Probabilistic Coding.Xiang Huang, Hao Peng, Li Sun, Hui Lin, Chunyang Liu, Jiang Cao, Philip S. Yu
2025AAAITowards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space.Xiaoyan Yu, Yifan Wei, Shuaishuai Zhou, Zhiwei Yang, Li Sun, Hao Peng, Liehuang Zhu, Philip S. Yu
2025ACLTABGEN-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation.Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu
2025ACLRecurrent Knowledge Identification and Fusion for Language Model Continual Learning.Yujie Feng, Xujia Wang, Zexin Lu, Shenghong Fu, Guangyuan Shi, Yongxin Xu, Yasha Wang, Philip S. Yu, Xu Chu, Xiao-Ming Wu
2025ACLRethinking the Roles of Large Language Models in Chinese Grammatical Error Correction.Yinghui Li, Shang Qin, Jingheng Ye, Haojing Huang, Yangning Li, Shu-Yu Guo, Libo Qin, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Philip S. Yu
2025ACLCan LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?Leyi Pan, Aiwei Liu, Shiyu Huang, Yijian Lu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu
2025ACLProvBench: A Benchmark of Legal Provision Recommendation for Contract Auto-Reviewing.Xiuxuan Shen, Zhongyuan Jiang, Junsan Zhang, Junxiao Han, Yao Wan, Chengjie Guo, Bingcheng Liu, Jie Wu, Renxiang Li, Philip S. Yu
2025ACLStructure-adaptive Adversarial Contrastive Learning for Multi-Domain Fake News Detection.Lingwei Wei, Dou Hu, Wei Zhou, Philip S. Yu, Songlin Hu
2025ACLMathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection.Yibo Yan, Shen Wang, Jiahao Huo, Philip S. Yu, Xuming Hu, Qingsong Wen
2025ACLTestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency.Henry Peng Zou, Zhengyao Gu, Yue Zhou, Yankai Chen, Weizhi Zhang, Liancheng Fang, Yibo Wang, Yangning Li, Kay Liu, Philip S. Yu
2025APWEBSocialED: A Python Library for Social Event Detection.Kun Zhang, Xiaoyan Yu, Pu Li, Hao Peng, Philip S. Yu
2025CIKMInterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction.Zhichen Zeng, Xiaolong Liu, Mengyue Hang, Xiaoyi Liu, Qinghai Zhou, Chaofei Yang, Yiqun Liu, Yichen Ruan, Laming Chen, Yuxin Chen, Yujia Hao, Jiaqi Xu, Jade Nie, Xi Liu, Buyun Zhang, Wei Wen, Siyang Yuan, Hang Yin, Xin Zhang, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang
2025CIKMJailbreaking LLMs Through Alignment Vulnerabilities in Out-of-Distribution Settings.Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Philip S. Yu, Xiangliang Zhang
2025CIKMDialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning.Kun Peng, Cong Cao, Hao Peng, Zhifeng Hao, Lei Jiang, Kongjing Gu, Yanbing Liu, Philip S. Yu
2025CIKMFrontiers in Graph Machine Learning for the Large Model Era.Qingyun Sun, Ziwei Zhang, Xingcheng Fu, Yangqiu Song, Jianxin Li, Philip S. Yu
2025COLINGMulti-View Incongruity Learning for Multimodal Sarcasm Detection.Diandian Guo, Cong Cao, Fangfang Yuan, Yanbing Liu, Guangjie Zeng, Xiaoyan Yu, Hao Peng, Philip S. Yu
2025COLINGTaxonomy-Guided Zero-Shot Recommendations with LLMs.Yueqing Liang, Liangwei Yang, Chen Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu
2025COMPSACImproving Social Connections Through Mobile Social Networks.Alvin Chin, Justin Chan, Joshua Garcia, Aria Barve, Kevin Leicht, Philip S. Yu
2025EMNLPLLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation.Weizhi Zhang, Liangwei Yang, Wooseong Yang, Henry Peng Zou, Yuqing Liu, Ke Xu, Sourav Medya, Philip S. Yu
2025EMNLPLLM Agents for Education: Advances and Applications.Zhendong Chu, Shen Wang, Jian Xie, Tinghui Zhu, Yibo Yan, Jingheng Ye, Aoxiao Zhong, Xuming Hu, Jing Liang, Philip S. Yu, Qingsong Wen
2025EMNLPGeoEdit: Geometric Knowledge Editing for Large Language Models.Yujie Feng, Li-Ming Zhan, Zexin Lu, Yongxin Xu, Xu Chu, Yasha Wang, Jiannong Cao, Philip S. Yu, Xiao-Ming Wu
2025EMNLPTeaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning.Yangning Li, Tingwei Lu, Yinghui Li, Yankai Chen, Wei-Chieh Huang, Wenhao Jiang, Hui Wang, Hai-Tao Zheng, Philip S. Yu
2025EMNLPBreaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks.Tzu-Ling Lin, Wei-Chih Chen, Teng-Fang Hsiao, Hou-I Liu, Ya-Hsin Yeh, Yu Kai Chan, Wen-Sheng Lien, Po-Yen Kuo, Philip S. Yu, Hong-Han Shuai
2025EMNLPA Survey of RAG-Reasoning Systems in Large Language Models.Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu
2025EMNLPRAISE: Reinforced Adaptive Instruction Selection For Large Language Models.Qingsong Lv, Yangning Li, Zihua Lan, Zishan Xu, Jiwei Tang, Tingwei Lu, Yinghui Li, Wenhao Jiang, Hong-Gee Kim, Hai-Tao Zheng, Philip S. Yu
2025EMNLPEmotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation.Kun Peng, Cong Cao, Hao Peng, Guanlin Wu, Zhifeng Hao, Lei Jiang, Yanbing Liu, Philip S. Yu
2025EMNLPMulti-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions.Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Wei-Chieh Huang, Yangning Li, Liancheng Fang, Zhen Wang, Philip S. Yu
2025EMNLPPosition: LLMs Can be Good Tutors in English Education.Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Ruitong Liu, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen
2025EMNLPMultifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness.Yusheng Zhao, Xiao Luo, Junyu Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang
2025HCIEphemeral Social Networking: Connecting People from Offline to Online.Alvin Chin, Kevin Leicht, Philip S. Yu, Diego Gmez-Zar
2024AAAIHierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection.Yuwei Cao, Hao Peng, Zhengtao Yu, Philip S. Yu
2024AAAIThree Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network.Xuming Hu, Zhaochen Hong, Yong Jiang, Zhichao Lin, Xiaobin Wang, Pengjun Xie, Philip S. Yu
2024AAAIAdaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering.Jingyu Pu, Chenhang Cui, Xinyue Chen, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He
2024AAAIDual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer.Xiaorui Su, Pengwei Hu, Zhu-Hong You, Philip S. Yu, Lun Hu
2024AAAIMotif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning.Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu
2024ACLEvaluating Robustness of Generative Search Engine on Adversarial Factoid Questions.Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo
2024ACLStronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products.Tao Zhang, Chenwei Zhang, Xian Li, Jingbo Shang, Hoang H. Nguyen, Philip S. Yu
2024ACLImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction.Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea
2024CIKMDo We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation.Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu
2024CIKMCollaborative Alignment for Recommendation.Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu
2024CIKMMSTEM: Masked Spatiotemporal Event Series Modeling for Urban Undisciplined Events Forecasting.Zehao Gu, Shiyang Zhou, Yun Xiong, Yang Luo, Hongrun Ren, Qiang Wang, Xiaofeng Gao, Philip S. Yu
2024CIKM3rd International Workshop on Industrial Recommendation Systems (IRS).Luyi Ma, Xiaohan Li, Kamilia Ahmadi, Jianpeng Xu, Philip S. Yu, George Karypis
2024CIKMDAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism.Xiaoyan Yu, Yifan Wei, Pu Li, Shuaishuai Zhou, Hao Peng, Li Sun, Liehuang Zhu, Philip S. Yu
2024CIKMRevisit Orthogonality in Graph-Regularized MLPs.Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
2024CIKMAI Agent for Information Retrieval: Generating and Ranking.Yongfeng Zhang, Zhiwei Liu, Qingsong Wen, Linsey Pang, Wei Liu, Philip S. Yu
2024CIKMInfoMLP: Unlocking the Potential of MLPs for Semi-Supervised Learning with Structured Data.Hengrui Zhang, Qitian Wu, Chenxiao Yang, Philip S. Yu
2024COLINGCORI: CJKV Benchmark with Romanization Integration - a Step towards Cross-lingual Transfer beyond Textual Scripts.Hoang Nguyen, Chenwei Zhang, Ye Liu, Natalie Parde, Eugene Rohrbaugh, Philip S. Yu
2024DASFAABeyond the Known: Novel Class Discovery for Open-World Graph Learning.Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu
2024EMNLPLLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, 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
2024EMNLPMarkLLM: An Open-Source Toolkit for LLM Watermarking.Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu
2024EMNLPDA³: A Distribution-Aware Adversarial Attack against Language Models.Yibo Wang, Xiangjue Dong, James Caverlee, Philip S. Yu
2023AAAILearning to Select from Multiple Options.Jiangshu Du, Wenpeng Yin, Congying Xia, Philip S. Yu
2023AAAISelf-Organization Preserved Graph Structure Learning with Principle of Relevant Information.Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu
2023AAAISelf-Supervised Continual Graph Learning in Adaptive Riemannian Spaces.Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu
2023ACLMultimodal Relation Extraction with Cross-Modal Retrieval and Synthesis.Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu
2023ACLEntity-to-Text based Data Augmentation for various Named Entity Recognition Tasks.Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu
2023ACLGDA: Generative Data Augmentation Techniques for Relation Extraction Tasks.Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu
2023ACLAutomatic Table Union Search with Tabular Representation Learning.Xuming Hu, Shen Wang, Xiao Qin, Chuan Lei, Zhengyuan Shen, Christos Faloutsos, Asterios Katsifodimos, George Karypis, Lijie Wen, Philip S. Yu
2023ACLEnhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer.Shuang Li, Xuming Hu, Aiwei Liu, Yawen Yang, Fukun Ma, Philip S. Yu, Lijie Wen
2023ACLAMR-based Network for Aspect-based Sentiment Analysis.Fukun Ma, Xuming Hu, Aiwei Liu, Yawen Yang, Shuang Li, Philip S. Yu, Lijie Wen
2023ACLEnhancing Cross-lingual Transfer via Phonemic Transcription Integration.Hoang H. Nguyen, Chenwei Zhang, Tao Zhang, Eugene Rohrbaugh, Philip S. Yu
2023CIKMZero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training.Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu
2023CIKMLearning the Co-evolution Process on Live Stream Platforms with Dual Self-attention for Next-topic Recommendations.Hsu-Chao Lai, Philip S. Yu, Jiun-Long Huang
2023CIKMDimension Independent Mixup for Hard Negative Sample in Collaborative Filtering.Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu
2023CIKMGraph-based Alignment and Uniformity for Recommendation.Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu
2023CIKMGroup Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning.Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
2023DASFAAA Graph Embedding Approach for Link Prediction via Triadic Closure Based Direct Aggregation and Weighted Concatenation.Yahui Chai, Xiaobin Rui, Jie Yang, Philip S. Yu, Zhixiao Wang
2023DASFAAHierarchical Encoder-Decoder with Addressable Memory Network for Diagnosis Prediction.Mingxia Wang, Yun Xiong, Yao Zhang, Philip S. Yu, Yangyong Zhu
2023DSAATowards Contiguous Sequences in Uncertain Data.Zefeng Chen, Wensheng Gan, Gengsen Huang, Yanxin Zheng, Philip S. Yu
2023EMNLPCoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks.Hoang H. Nguyen, Ye Liu, Chenwei Zhang, Tao Zhang, Philip S. Yu
2023ICASSPGaussian Prior Reinforcement Learning for Nested Named Entity Recognition.Yawen Yang, Xuming Hu, Fukun Ma, Shu'ang Li, Aiwei Liu, Lijie Wen, Philip S. Yu
2022AAAIGraph Structure Learning with Variational Information Bottleneck.Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
2022AAAIA Self-Supervised Mixed-Curvature Graph Neural Network.Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu
2022CIKMA Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning.Li Sun, Junda Ye, Hao Peng, Philip S. Yu
2022CIKMContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation.Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
2022CIKMTime Lag Aware Sequential Recommendation.Lihua Chen, Ning Yang, Philip S. Yu
2022CIKMFrequent Itemset Mining with Local Differential Privacy.Junhui Li, Wensheng Gan, Yijie Gui, Yongdong Wu, Philip S. Yu
2022CIKMFrom Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection.Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He
2022CIKMCross-Network Social User Embedding with Hybrid Differential Privacy Guarantees.Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu
2022CIKMPosition-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing.Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
2022CIKMPAS: Privacy Algorithms in Systems.Philip S. Yu, Olivera Kotevska, Tyler Derr
2022CIKMAutomating DBSCAN via Deep Reinforcement Learning.Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Yangyang Li, Jingyi Zhang, Philip S. Yu
2022COLINGScene Graph Modification as Incremental Structure Expanding.Xuming Hu, Zhijiang Guo, Yu Fu, Lijie Wen, Philip S. Yu
2022DASFAAConcurrent Transformer for Spatial-Temporal Graph Modeling.Yi Xie, Yun Xiong, Yangyong Zhu, Philip S. Yu, Cheng Jin, Qiang Wang, Haihong Li
2022DSAAFast Mining RFM Patterns for Behavioral Analytics.Shicheng Wan, Jieying Deng, Wensheng Gan, Jiahui Chen, Philip S. Yu
2021AAAIKG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning.Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu
2021AAAIHyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs.Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu
2021BMVCCvS: Classification via Segmentation For Small Datasets.Nooshin Mojab, Philip S. Yu, Joelle A. Hallak, Darvin Yi
2021CIKMHyperbolic Hypergraphs for Sequential Recommendation.Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu
2021CIKMModeling Sequences as Distributions with Uncertainty for Sequential Recommendation.Ziwei Fan, Zhiwei Liu, Shen Wang, Lei Zheng, Philip S. Yu
2021CIKMContinuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer.Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu
2021CIKMClick-Through Rate Prediction with Multi-Modal Hypergraphs.Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu
2021CIKMGraph-based Semi-Supervised Learning by Strengthening Local Label Consistency.Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun
2021CIKMHubness-aware User Identity Linkage.Chaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu, Philip S. Yu
2021CIKMDSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN.Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu
2021CIKMImproving Chinese Character Representation with Formation Graph Attention Network.Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu
2021DASFAAMISS: A Multi-user Identification Network for Shared-Account Session-Aware Recommendation.Xinyu Wen, Zhaohui Peng, Shanshan Huang, Senzhang Wang, Philip S. Yu
2021DASFAAAE-UPCP: Seeking Potential Membership Users by Audience Expansion Combining User Preference with Consumption Pattern.Xiaokang Xu, Zhaohui Peng, Senzhang Wang, Shanshan Huang, Philip S. Yu, Zhenyun Hao, Jian Wang, Xue Wang
2021EACLEnriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation.Ye Liu, Yao Wan, Jian-Guo Zhang, Wenting Zhao, Philip S. Yu
2021EMNLPAttend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots.Wenting Zhao, Ye Liu, Yao Wan, Philip S. Yu
2021EMNLPHETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization.Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu
2021EMNLPSemi-supervised Relation Extraction via Incremental Meta Self-Training.Xuming Hu, Chenwei Zhang, Fukun Ma, Chenyao Liu, Lijie Wen, Philip S. Yu
2021EMNLPGradient Imitation Reinforcement Learning for Low Resource Relation Extraction.Xuming Hu, Chenwei Zhang, Yawen Yang, Xiaohe Li, Li Lin, Lijie Wen, Philip S. Yu
2021EMNLPDense Hierarchical Retrieval for Open-domain Question Answering.Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu
2021EMNLPFew-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning.Jian-Guo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip S. Yu
2021EMNLPPDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition.Tao Zhang, Congying Xia, Philip S. Yu, Zhiwei Liu, Shu Zhao
2020ACCVAddressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score.He Huang, Shunta Saito, Yuta Kikuchi, Eiichi Matsumoto, Wei Tang, Philip S. Yu
2020APWEBKASR: Knowledge-Aware Sequential Recommendation.Qingqin Wang, Yun Xiong, Yangyong Zhu, Philip S. Yu
2020BMVCMulti-label Zero-shot Classification by Learning to Transfer from External Knowledge.He Huang, Wei Tang, Philip S. Yu, Yuanwei Chen, Wenhao Zheng, Qing-Guo Chen
2020CIKMEnhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters.Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu
2020COLINGHierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation.Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu
2020COLINGMixup-Transformer: Dynamic Data Augmentation for NLP Tasks.Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He
2020COLINGUser Memory Reasoning for Conversational Recommendation.Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, Philip S. Yu
2020COLINGUnderstanding Pre-trained BERT for Aspect-based Sentiment Analysis.Hu Xu, Lei Shu, Philip S. Yu, Bing Liu
2020COLINGMZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing.Tao Zhang, Congying Xia, Chun-Ta Lu, Philip S. Yu
2020DASFAAHeterogeneous Graph Embedding for Cross-Domain Recommendation Through Adversarial Learning.Jin Li, Zhaohui Peng, Senzhang Wang, Xiaokang Xu, Philip S. Yu, Zhenyun Hao
2020DASFAAHeterogeneous Replicas for Multi-dimensional Data Management.Jialin Qiao, Yuyuan Kang, Xiangdong Huang, Lei Rui, Tian Jiang, Jianmin Wang, Philip S. Yu
2020DASFAACode2Text: Dual Attention Syntax Annotation Networks for Structure-Aware Code Translation.Yun Xiong, Shaofeng Xu, Keyao Rong, Xinyue Liu, Xiangnan Kong, Shanshan Li, Philip S. Yu, Yangyong Zhu
2020ECAIDeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction.Xuan Lin, Kaiqi Zhao, Tong Xiao, Zhe Quan, Zhi-Jie Wang, Philip S. Yu
2020EMNLPSelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction.Xuming Hu, Lijie Wen, Yusong Xu, Chenwei Zhang, Philip S. Yu
2020EMNLPSemantic Matching and Aggregation Network for Few-shot Intent Detection.Hoang Nguyen, Chenwei Zhang, Congying Xia, Philip S. Yu
2020EMNLPH2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network.Shen Wang, Xiaokai Wei, Ccero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu
2020EMNLPComposed Variational Natural Language Generation for Few-shot Intents.Congying Xia, Caiming Xiong, Philip S. Yu, Richard Socher
2020EMNLPDomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis.Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2020EMNLPDiscriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference.Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong
2019AAAIDeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System.Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2019AAAIAdversarial Learning for Weakly-Supervised Social Network Alignment.Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li
2019AAAIPrivate Model Compression via Knowledge Distillation.Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu
2019ACLMulti-grained Named Entity Recognition.Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu
2019ACLJoint Slot Filling and Intent Detection via Capsule Neural Networks.Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu
2019ADMAMining Emerging High Utility Itemsets over Streaming Database.Acquah Hackman, Yu Huang, Philip S. Yu, Vincent S. Tseng
2019APWEBHow to Reach: Discovering Multi-resolution Paths on Large Scale Networks.Zhaokun Zhang, Ning Yang, Philip S. Yu
2019CIKMSocial-Aware VR Configuration Recommendation via Multi-Feedback Coupled Tensor Factorization.Hsu-Chao Lai, Hong-Han Shuai, De-Nian Yang, Jiun-Long Huang, Wang-Chien Lee, Philip S. Yu
2019CIKMGenerative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System.Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
2019CIKMPartially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage.Chaozhuo Li, Senzhang Wang, Hao Wang, Yanbo Liang, Philip S. Yu, Zhoujun Li, Wei Wang
2019CIKMMulti-Hot Compact Network Embedding.Chaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, Philip S. Yu, Zhoujun Li
2019CIKMTemporal Network Embedding with Micro- and Macro-dynamics.Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye
2019CIKMDeep Graph Similarity Learning for Brain Data Analysis.Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu
2019CIKMRecent Developments of Deep Heterogeneous Information Network Analysis.Chuan Shi, Philip S. Yu
2019CIKMVideo-level Multi-model Fusion for Action Recognition.Xiaomin Wang, Junsan Zhang, Leiquan Wang, Philip S. Yu, Jie Zhu, Haisheng Li
2019CIKMEHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph Propagation.Xiancheng Xie, Yun Xiong, Philip S. Yu, Yangyong Zhu
2019CVPRGenerative Dual Adversarial Network for Generalized Zero-Shot Learning.He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang
2019CVPRMemory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics.Yunbo Wang, Jianjin Zhang, Hongyu Zhu, Mingsheng Long, Jianmin Wang, Philip S. Yu
2019DASFAAUnderstanding Information Diffusion via Heterogeneous Information Network Embeddings.Yuan Su, Xi Zhang, Senzhang Wang, Binxing Fang, Tianle Zhang, Philip S. Yu
2019DASFAAAttention-Based Abnormal-Aware Fusion Network for Radiology Report Generation.Xiancheng Xie, Yun Xiong, Philip S. Yu, Kangan Li, Suhua Zhang, Yangyong Zhu
2019DASFAADynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks.Yun Xiong, Yao Zhang, Hanjie Fu, Wei Wang, Yangyong Zhu, Philip S. Yu
2019DSAAMARS: Memory Attention-Aware Recommender System.Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu
2019ICCVMaximum-Margin Hamming Hashing.Rong Kang, Yue Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
2018AAAIMulti-View Multi-Graph Embedding for Brain Network Clustering Analysis.Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow
2018AAAIDual Attention Network for Product Compatibility and Function Satisfiability Analysis.Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
2018ACLDouble Embeddings and CNN-based Sequence Labeling for Aspect Extraction.Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2018APWEBRepresentation Learning with Depth and Breadth for Recommendation Using Multi-view Data.Xiaotian Han, Chuan Shi, Lei Zheng, Philip S. Yu, Jianxin Li, Yuanfu Lu
2018CIKMDeepAuth: A Framework for Continuous User Re-authentication in Mobile Apps.Sara Amini, Vahid Noroozi, Amit Pande, Satyajit Gupte, Philip S. Yu, Chris Kanich
2018CIKMHeterogeneous Neural Attentive Factorization Machine for Rating Prediction.Liang Chen, Yang Liu, Zibin Zheng, Philip S. Yu
2018CIKMDistribution Distance Minimization for Unsupervised User Identity Linkage.Chaozhuo Li, Senzhang Wang, Philip S. Yu, Lei Zheng, Xiaoming Zhang, Zhoujun Li, Yanbo Liang
2018CIKMNewsfeed Filtering and Dissemination for Behavioral Therapy on Social Network Addictions.Hong-Han Shuai, Yen-Chieh Lien, De-Nian Yang, Yi-Feng Lan, Wang-Chien Lee, Philip S. Yu
2018DASFAACross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping.Xinghua Wang, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Wenjing Fu, Xiaoguang Hong
2018EMNLPZero-shot User Intent Detection via Capsule Neural Networks.Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu
2017ADMAEfficient Revenue Maximization for Viral Marketing in Social Networks.Yuan Su, Xi Zhang, Sihong Xie, Philip S. Yu, Binxing Fang
2017BigDataReal Time Social Attitude Expression Prediction.Jiawei Zhang, Philip S. Yu, Charu C. Aggarwal, Limeng Cui
2017CIKMMulti-view Clustering with Graph Embedding for Connectome Analysis.Guixiang Ma, Lifang He, Chun-Ta Lu, Weixiang Shao, Philip S. Yu, Alex D. Leow, Ann B. Ragin
2017CIKMCoupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services.Yuqi Wang, Jiannong Cao, Lifang He, Wengen Li, Lichao Sun, Philip S. Yu
2017CIKMUnsupervised Feature Selection with Heterogeneous Side Information.Xiaokai Wei, Bokai Cao, Philip S. Yu
2017CIKMBL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion.Jiawei Zhang, Limeng Cui, Philip S. Yu, Yuanhua Lv
2017CIKMBroad Learning based Multi-Source Collaborative Recommendation.Junxing Zhu, Jiawei Zhang, Lifang He, Quanyuan Wu, Bin Zhou, Chenwei Zhang, Philip S. Yu
2017CSCWDMeasuring the relevance of different-typed objects in weighted signed heterogeneous information networks.Tianchen Zhu, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Xiaoguang Hong
2017CVPRMulti-way Multi-level Kernel Modeling for Neuroimaging Classification.Lifang He, Chun-Ta Lu, Hao Ding, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin
2017CVPRSpatiotemporal Pyramid Network for Video Action Recognition.Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu
2017DASFAAReview-Based Cross-Domain Recommendation Through Joint Tensor Factorization.Tianhang Song, Zhaohui Peng, Senzhang Wang, Wenjing Fu, Xiaoguang Hong, Philip S. Yu
2017DSAAMulti-task Network Embedding.Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
2017DSAAMultiple Social Role Embedding.Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
2017DSAADisentangled Link Prediction for Signed Social Networks via Disentangled Representation Learning.Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu
2017ICCVHashNet: Deep Learning to Hash by Continuation.Zhangjie Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
2016AAAIUnsupervised Feature Selection on Networks: A Generative View.Xiaokai Wei, Bokai Cao, Philip S. Yu
2016AISTATSUnsupervised Feature Selection by Preserving Stochastic Neighbors.Xiaokai Wei, Philip S. Yu
2016CIKMActive Zero-Shot Learning.Sihong Xie, Shaoxiong Wang, Philip S. Yu
2016CIKMEfficient Hidden Trajectory Reconstruction from Sparse Data.Ning Yang, Philip S. Yu
2016CIKMMulti-source Hierarchical Prediction Consolidation.Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu
2016CIKMInformation Diffusion at Workplace.Jiawei Zhang, Philip S. Yu, Yuanhua Lv, Qianyi Zhan
2016DASFAATemporal Recommendation via Modeling Dynamic Interests with Inverted-U-Curves.Yang Xu, Xiaoguang Hong, Zhaohui Peng, Guang Yang, Philip S. Yu
2015AAAIBurst Time Prediction in Cascades.Senzhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, Zhoujun Li
2015BigDataMCD: Mutual Clustering across Multiple Social Networks.Philip S. Yu, Jiawei Zhang
2015BPMMining Invisible Tasks in Non-free-choice Constructs.Qinlong Guo, Lijie Wen, Jianmin Wang, Zhiqiang Yan, Philip S. Yu
2015CIKMForming Online Support Groups for Internet and Behavior Related Addictions.Chih-Ya Shen, Hong-Han Shuai, De-Nian Yang, Yi-Feng Lan, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen
2015CIKMSemantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks.Chuan Shi, Zhiqiang Zhang, Ping Luo, Philip S. Yu, Yading Yue, Bin Wu
2015CIKMLearning Entity Types from Query Logs via Graph-Based Modeling.Jingyuan Zhang, Luo Jie, Altaf Rahman, Sihong Xie, Yi Chang, Philip S. Yu
2015CIKMEnterprise Social Link Recommendation.Jiawei Zhang, Yuanhua Lv, Philip S. Yu
2015DASFAAInferring Diffusion Networks with Sparse Cascades by Structure Transfer.Senzhang Wang, Honghui Zhang, Jiawei Zhang, Xiaoming Zhang, Philip S. Yu, Zhoujun Li
2015DSAAAn effective and economic bi-level approach to ranking and rating spam detection.Sihong Xie, Qingbo Hu, Jingyuan Zhang, Philip S. Yu
2015DSAAA context-aware approach to detection of short irrelevant texts.Sihong Xie, Jing Wang, Mohammad Shafkat Amin, Baoshi Yan, Anmol Bhasin, Clement T. Yu, Philip S. Yu
2015DSAASensor network partitioning based on homogeneity.Yi Xu, Zhongfei (Mark) Zhang, Yaqing Zhang, Philip S. Yu
2015EDBTReconstruction Privacy: Enabling Statistical Learning.Ke Wang, Chao Han, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Philip S. Yu
2014APWEBAn Effective Approach on Overlapping Structures Discovery for Co-clustering.Wangqun Lin, Yuchen Zhao, Philip S. Yu, Bo Deng
2014CIKMIdentifying Your Customers in Social Networks.Chun-Ta Lu, Hong-Han Shuai, Philip S. Yu
2014CIKMRanking-based Clustering on General Heterogeneous Information Networks by Network Projection.Chuan Shi, Ran Wang, Yitong Li, Philip S. Yu, Bin Wu
2014CIKMNCR: A Scalable Network-Based Approach to Co-Ranking in Question-and-Answer Sites.Jingyuan Zhang, Xiangnan Kong, Roger Jie Luo, Yi Chang, Philip S. Yu
2014CVPRTransfer Joint Matching for Unsupervised Domain Adaptation.Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu
2014DSAAAssessing the longevity of online videos: A new insight of a video's quality.Qingbo Hu, Guan Wang, Philip S. Yu
2014DSAAStorage efficient graph search by composite dynamic-and-static indexing of a single network.Yan Xie, Philip S. Yu
2014DSAAWelcome from DSAA 2014 chairs.Philip S. Yu, Masaru Kitsuregawa, Hiroshi Motoda, Bart Goethals, Minyi Guo, Longbing Cao, George Karypis, Irwin King, Wei Wang
2014EDBTA Condensation Approach to Privacy Preserving Data Mining.Charu C. Aggarwal, Philip S. Yu
2013AAAITowards Cohesive Anomaly Mining.Yun Xiong, Yangyong Zhu, Philip S. Yu, Jian Pei
2013APWEBPrivacy Preserving Graph Publication in a Distributed Environment.Mingxuan Yuan, Lei Chen, Philip S. Yu, Hong Mei
2013CIKMInferring anchor links across multiple heterogeneous social networks.Xiangnan Kong, Jiawei Zhang, Philip S. Yu
2013CIKMAn effective latent networks fusion based model for event recommendation in offline ephemeral social networks.Guoqiong Liao, Yuchen Zhao, Sihong Xie, Philip S. Yu
2013CIKMPredicting trends in social networks via dynamic activeness model.Shuyang Lin, Xiangnan Kong, Philip S. Yu
2013CVPRTransfer Sparse Coding for Robust Image Representation.Mingsheng Long, Guiguang Ding, Jianmin Wang, Jiaguang Sun, Yuchen Guo, Philip S. Yu
2013ICCVTransfer Feature Learning with Joint Distribution Adaptation.Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu
2012CIKMMeta path-based collective classification in heterogeneous information networks.Xiangnan Kong, Philip S. Yu, Ying Ding, David J. Wild
2012CIKMInfluence and similarity on heterogeneous networks.Guan Wang, Qingbo Hu, Philip S. Yu
2012CIKMDiversionary comments under political blog posts.Jing Wang, Clement T. Yu, Philip S. Yu, Bing Liu, Weiyi Meng
2012DASFAAEffective Next-Items Recommendation via Personalized Sequential Pattern Mining.Ghim-Eng Yap, Xiaoli Li, Philip S. Yu
2012EDBTSearching by corpus with fingerprints.Charu C. Aggarwal, Wangqun Lin, Philip S. Yu
2012EDBTLimiting link disclosure in social network analysis through subgraph-wise perturbation.Amin Milani Fard, Ke Wang, Philip S. Yu
2012EDBTRelevance search in heterogeneous networks.Chuan Shi, Xiangnan Kong, Philip S. Yu, Sihong Xie, Bin Wu
2012GRCA profile-based framework for interaction prediction.Zhung-Xun Liao, Wen-Chih Peng, Philip S. Yu
2011APWEBInformation Networks Mining and Analysis.Philip S. Yu
2011CIKMCollective prediction with latent graphs.Xiaoxiao Shi, Yao Li, Philip S. Yu
2011CIKMOn selection of objective functions in multi-objective community detection.Chuan Shi, Philip S. Yu, Yanan Cai, Zhenyu Yan, Bin Wu
2011CIKMCP-index: on the efficient indexing of large graphs.Yan Xie, Philip S. Yu
2011CIKMPattern change discovery between high dimensional data sets.Yi Xu, Zhongfei Zhang, Philip S. Yu, Bo Long
2011DASFAAECODE: Event-Based Community Detection from Social Networks.Xiaoli Li, Aloysius Tan, Philip S. Yu, See-Kiong Ng
2011DASFAAEfficient Topological OLAP on Information Networks.Qiang Qu, Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hongyan Li
2011DASFAAMining High Utility Mobile Sequential Patterns in Mobile Commerce Environments.Bai-En Shie, Hui-Fang Hsiao, Vincent S. Tseng, Philip S. Yu
2010CIKMOrientation distance-based discriminative feature extraction for multi-class classification.Bo Liu, Yanshan Xiao, Longbing Cao, Philip S. Yu
2010CIKMOn wavelet decomposition of uncertain time series data sets.Yuchen Zhao, Charu C. Aggarwal, Philip S. Yu
2010DASFAAMining Diversity on Networks.Lu Liu, Feida Zhu, Chen Chen, Xifeng Yan, Jiawei Han, Philip S. Yu, Shiqiang Yang
2010DASFAADetecting Leaders from Correlated Time Series.Di Wu, Yiping Ke, Jeffrey Xu Yu, Philip S. Yu, Lei Chen
2009EDBTScalable OLAP and mining of information networks.Jiawei Han, Xifeng Yan, Philip S. Yu
2009EDBTPROUD: a probabilistic approach to processing similarity queries over uncertain data streams.Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan Chen
2009ICDCSDistributed Processing of Spatial Alarms: A Safe Region-Based Approach.Bhuvan Bamba, Ling Liu, Arun Iyengar, Philip S. Yu
2008AAAIClustering on Complex Graphs.Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu, Tianbing Xu
2008CIKMContent-based filtering for efficient online materialized view maintenance.Gang Luo, Philip S. Yu
2008CIKMReal-time new event detection for video streams.Gang Luo, Rong Yan, Philip S. Yu
2008CIKMDual encryption for query integrity assurance.Haixun Wang, Jian Yin, Chang-Shing Perng, Philip S. Yu
2008EDBTFast computing reachability labelings for large graphs with high compression rate.Jiefeng Cheng, Jeffrey Xu Yu, Xuemin Lin, Haixun Wang, Philip S. Yu
2008EDBTOwnership protection of shape datasets with geodesic distance preservation.Michail Vlachos, Claudio Lucchese, Deepak Rajan, Philip S. Yu
2008HiPCScalable Processing of Spatial Alarms.Bhuvan Bamba, Ling Liu, Philip S. Yu, Gong Zhang, Myungcheol Doo
2007AAAIGraph Partitioning Based on Link Distributions.Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
2007AINATS-Trees: A Non-Alterable Search Tree Index for Trustworthy Databases on Write-Once-Read-Many (WORM) Storage.Jian Pei, Man Ki Mag Lau, Philip S. Yu
2007HiPCOn Temperature-Aware Scheduling for Single-Processor Systems.Deepak Rajan, Philip S. Yu
2006AAAIClassification Spanning Private Databases.Ke Wang, Yabo Xu, Rong She, Philip S. Yu
2006CIKMContinuous keyword search on multiple text streams.Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu
2006EDBTFast Computation of Reachability Labeling for Large Graphs.Jiefeng Cheng, Jeffrey Xu Yu, Xuemin Lin, Haixun Wang, Philip S. Yu
2006EDBTMulti-query SQL Progress Indicators.Gang Luo, Jeffrey F. Naughton, Philip S. Yu
2006EDBTResource Adaptive Periodicity Estimation of Streaming Data.Michail Vlachos, Deepak S. Turaga, Philip S. Yu
2006ICASSPSlide: Streaming and Load-Adaptive Periodicity Estimation.Deepak S. Turaga, Michail Vlachos, Spiros Papadimitriou, Philip S. Yu
2005CIKMAdaptive load shedding for windowed stream joins.Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
2005CIKMCompact reachability labeling for graph-structured data.Hao He, Haixun Wang, Jun Yang, Philip S. Yu
2005CIKMIntegrating DCT and DWT for approximating cube streams.Ming-Jyh Hsieh, Ming-Syan Chen, Philip S. Yu
2005CIKMRotation invariant indexing of shapes and line drawings.Michail Vlachos, Zografoula Vagena, Philip S. Yu, Vassilis Athitsos
2005DASFAAData Stream Mining and Resource Adaptive Computation.Philip S. Yu
2004AAAIText Classification by Labeling Words.Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu
2004APWEBMonitoring Continual Range Queries.Philip S. Yu, Kun-Lung Wu, Shyh-Kwei Chen
2004CIKMMotion adaptive indexing for moving continual queries over moving objects.Bugra Gedik, Kun-Lung Wu, Philip S. Yu, Ling Liu
2004CIKMInterval query indexing for efficient stream processing.Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
2004EDBTA Condensation Approach to Privacy Preserving Data Mining.Charu C. Aggarwal, Philip S. Yu
2004EDBTMining Extremely Skewed Trading Anomalies.Wei Fan, Philip S. Yu, Haixun Wang
2003BIBEEnhanced Biclustering on Expression Data.Jiong Yang, Haixun Wang, Wei Wang, Philip S. Yu
2002AAAIPruning and Dynamic Scheduling of Cost-Sensitive Ensembles.Wei Fan, Fang Chu, Haixun Wang, Philip S. Yu
2002CIKMEfficient query monitoring using adaptive multiple key hashing.Kun-Lung Wu, Philip S. Yu
2001CIKMEffective Nearest Neighbor Indexing with the Euclidean Metric.Sang-Wook Kim, Charu C. Aggarwal, Philip S. Yu
2000CIKMClustering Through Decision Tree Construction.Bing Liu, Yiyuan Xia, Philip S. Yu
2000CIKMCollaborative Proxy System for Distributed Web Content Transcoding.Philip S. Yu, Valeria Cardellini, Yun-Wu Huang
1999CIKMLocal Replication for Proxy Web Caches with Hash Routing.Kun-Lung Wu, Philip S. Yu
1999DASFAAData Mining and Personalization Technologies.Philip S. Yu
1999ICDCSRedirection Algorithms for Load Sharing in Distributed Web-server Systems.Valeria Cardellini, Michele Colajanni, Philip S. Yu
1998CIKMOnline Algorithms for Finding Profile Association Rules.Charu C. Aggarwal, Zheng Sun, Philip S. Yu
1998CIKMMALM: A Framework for Mining Sequence Database at Multiple Abstraction Levels.Chung-Sheng Li, Philip S. Yu, Vittorio Castelli
1998COMPSACEfficient State Estimators for Load Control Policies in Scalable Web Server Clusters.Valeria Cardellini, Michele Colajanni, Philip S. Yu
1998COMPSACRange-Based Bitmap Indexing for High Cardinality Attributes with Skew.Kun-Lung Wu, Philip S. Yu
1997CIKMOn Disk Caching of Web Objects in Proxy Servers.Charu C. Aggarwal, Philip S. Yu
1997CIKMMining Association Rules with Adjustable Accuracy.Jong Soo Park, Philip S. Yu, Ming-Syan Chen
1997ICDCSIndexed Sequential Data Broadcasting in Wireless Mobile Computing.Ming-Syan Chen, Philip S. Yu, Kun-Lung Wu
1996ICDCSEfficient Data Mining for Path Traversal Patterns in Distributed Systems.Ming-Syan Chen, Jong Soo Park, Philip S. Yu
1995CIKMEfficient Parallel and Data Mining for Association Rules.Jong Soo Park, Ming-Syan Chen, Philip S. Yu
1994CIKMMultiversion Divergence Control of Time Fuzziness.Calton Pu, Miu K. Tsang, Kun-Lung Wu, Philip S. Yu
1993ICDCSDecentralized Consensus Protocols with Multi-Port Communication.Ming-Syan Chen, Philip S. Yu, Kun-Lung Wu
1992HPDCPerformance Comparison of Active-Sender and Active-Receiver Policies for Distributed Caching.Calton Pu, Danilo Florissi, Patricia Soares, Kun-Lung Wu, Philip S. Yu
1992ICDCSEfficient Decentralized Consensus Protocols in a Distributed Computing System.Ming-Syan Chen, Kun-Lung Wu, Philip S. Yu
1991COMPSACPerformance analysis of optimistic concurrency control schemes with different rerun policies.Philip S. Yu, Daniel M. Dias
1990ICDCSUsing Combination of Join and Semijoin Operations for Distributed Query Processing.Ming-Syan Chen, Philip S. Yu
1989COMPSACAdaptive selection of access path and join method.Yann-Hang Lee, Philip S. Yu
1987DACVLSI Circuit Testing Using an Adaptive Optimization Model.Philip S. Yu, C. Mani Krishna, Yann-Hang Lee