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Xifeng Yan
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- affiliation: University of California, Santa Barbara, USA
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2020 – today
- 2024
- [c152]Zekun Li, Zhiyu Chen, Mike Ross, Patrick Huber, Seungwhan Moon, Zhaojiang Lin, Xin Dong, Adithya Sagar, Xifeng Yan, Paul A. Crook:
Large Language Models as Zero-shot Dialogue State Tracker through Function Calling. ACL (1) 2024: 8688-8704 - [c151]Ross Koval, Nicholas Andrews, Xifeng Yan:
Learning to Compare Financial Reports for Financial Forecasting. EACL (Findings) 2024: 500-512 - [c150]Zekun Li, Baolin Peng, Pengcheng He, Xifeng Yan:
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection. EMNLP 2024: 557-568 - [c149]Ross Koval, Nicholas Andrews, Xifeng Yan:
Financial Forecasting from Textual and Tabular Time Series. EMNLP (Findings) 2024: 8289-8300 - [c148]Kenan Tang, Peiyang Song, Yao Qin, Xifeng Yan:
Creative and Context-Aware Translation of East Asian Idioms with GPT-4. EMNLP (Findings) 2024: 9285-9305 - [i49]Zekun Li, Zhiyu Zoey Chen, Mike Ross, Patrick Huber, Seungwhan Moon, Zhaojiang Lin, Xin Luna Dong, Adithya Sagar, Xifeng Yan, Paul A. Crook:
Large Language Models as Zero-shot Dialogue State Tracker through Function Calling. CoRR abs/2402.10466 (2024) - [i48]Weizhi Wang, Khalil Mrini, Linjie Yang, Sateesh Kumar, Yu Tian, Xifeng Yan, Heng Wang:
Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters. CoRR abs/2403.02677 (2024) - [i47]Zekun Li, Xianjun Yang, Kyuri Choi, Wanrong Zhu, Ryan Hsieh, HyeonJung Kim, Jin Hyuk Lim, Sungyoung Ji, Byungju Lee, Xifeng Yan, Linda Ruth Petzold, Stephen D. Wilson, Woosang Lim, William Yang Wang:
MMSci: A Multimodal Multi-Discipline Dataset for PhD-Level Scientific Comprehension. CoRR abs/2407.04903 (2024) - [i46]Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu:
Can Editing LLMs Inject Harm? CoRR abs/2407.20224 (2024) - [i45]Kenan Tang, Peiyang Song, Yao Qin, Xifeng Yan:
Creative and Context-Aware Translation of East Asian Idioms with GPT-4. CoRR abs/2410.00988 (2024) - 2023
- [j39]Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dignös, Wei Ding, Yixiang Fang, Boyang Han, Jilin Hu, Arijit Khan, Wenqing Lin, Xuemin Lin, Cheng Long, Nikos Mamoulis, Jian Pei, Matthias Renz, Shashi Shekhar, Jieming Shi, Eleni Tzirita Zacharatou, Sibo Wang, Xiao Wang, Xue Wang, Raymond Chi-Wing Wong, Da Yan, Xifeng Yan, Bin Yang, Dezhong Yao, Ce Zhang, Peilin Zhao, Rong Zhu:
A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. 46(4): 4-17 (2023) - [j38]Xixi Zhou, Jiajun Bu, Sheng Zhou, Zhi Yu, Ji Zhao, Xifeng Yan:
Improving topic disentanglement via contrastive learning. Inf. Process. Manag. 60(2): 103164 (2023) - [c147]Shiyang Li, Yifan Gao, Haoming Jiang, Qingyu Yin, Zheng Li, Xifeng Yan, Chao Zhang, Bing Yin:
Graph Reasoning for Question Answering with Triplet Retrieval. ACL (Findings) 2023: 3366-3375 - [c146]Ross Koval, Nicholas Andrews, Xifeng Yan:
Forecasting Earnings Surprises from Conference Call Transcripts. ACL (Findings) 2023: 8197-8209 - [c145]Jing Qian, Hong Wang, Zekun Li, Shiyang Li, Xifeng Yan:
Limitations of Language Models in Arithmetic and Symbolic Induction. ACL (1) 2023: 9285-9298 - [c144]Weizhi Wang, Li Dong, Hao Cheng, Haoyu Song, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei:
Visually-Augmented Language Modeling. ICLR 2023 - [c143]Xinlu Zhang, Shiyang Li, Zhiyu Chen, Xifeng Yan, Linda Ruth Petzold:
Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling. ICML 2023: 41300-41313 - [c142]Zekun Li, Shiyang Li, Xifeng Yan:
Time Series as Images: Vision Transformer for Irregularly Sampled Time Series. NeurIPS 2023 - [c141]Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan:
Guiding Large Language Models via Directional Stimulus Prompting. NeurIPS 2023 - [c140]Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei:
Augmenting Language Models with Long-Term Memory. NeurIPS 2023 - [e1]Ambuj K. Singh, Yizhou Sun, Leman Akoglu, Dimitrios Gunopulos, Xifeng Yan, Ravi Kumar, Fatma Ozcan, Jieping Ye:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023. ACM 2023 [contents] - [i44]Jing Qian, Xifeng Yan:
Language Model Detoxification in Dialogue with Contextualized Stance Control. CoRR abs/2301.10368 (2023) - [i43]Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan:
Guiding Large Language Models via Directional Stimulus Prompting. CoRR abs/2302.11520 (2023) - [i42]Zekun Li, Shiyang Li, Xifeng Yan:
Time Series as Images: Vision Transformer for Irregularly Sampled Time Series. CoRR abs/2303.12799 (2023) - [i41]Hong Wang, Xuan Luo, Weizhi Wang, Xifeng Yan:
Bot or Human? Detecting ChatGPT Imposters with A Single Question. CoRR abs/2305.06424 (2023) - [i40]Shiyang Li, Yifan Gao, Haoming Jiang, Qingyu Yin, Zheng Li, Xifeng Yan, Chao Zhang, Bing Yin:
Graph Reasoning for Question Answering with Triplet Retrieval. CoRR abs/2305.18742 (2023) - [i39]Weizhi Wang, Hong Wang, Xifeng Yan:
STEPS: A Benchmark for Order Reasoning in Sequential Tasks. CoRR abs/2306.04441 (2023) - [i38]Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei:
Augmenting Language Models with Long-Term Memory. CoRR abs/2306.07174 (2023) - [i37]Zekun Li, Baolin Peng, Pengcheng He, Xifeng Yan:
Do you really follow me? Adversarial Instructions for Evaluating the Robustness of Large Language Models. CoRR abs/2308.10819 (2023) - [i36]Xinlu Zhang, Yujie Lu, Weizhi Wang, An Yan, Jun Yan, Lianke Qin, Heng Wang, Xifeng Yan, William Yang Wang, Linda Ruth Petzold:
GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks. CoRR abs/2311.01361 (2023) - 2022
- [j37]Chunbin Gu, Jiajun Bu, Xixi Zhou, Chengwei Yao, Dongfang Ma, Zhi Yu, Xifeng Yan:
Cross-modal image retrieval with deep mutual information maximization. Neurocomputing 496: 166-177 (2022) - [j36]Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Sheng Zhou, Zhen Zhang, Jingjun Gu, Haifeng Li, Xifeng Yan:
Context-guided entropy minimization for semi-supervised domain adaptation. Neural Networks 154: 270-282 (2022) - [j35]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) - [c139]Hanwen Zha, Zhiyu Chen, Xifeng Yan:
Inductive Relation Prediction by BERT. AAAI 2022: 5923-5931 - [c138]Zekun Li, Wenhu Chen, Shiyang Li, Hong Wang, Jing Qian, Xifeng Yan:
Controllable Dialogue Simulation with In-context Learning. EMNLP (Findings) 2022: 4330-4347 - [c137]Jing Qian, Xifeng Yan:
Language Model Detoxification in Dialogue with Contextualized Stance Control. EMNLP (Findings) 2022: 5548-5558 - [c136]Yanju Chen, Xifeng Yan, Yu Feng:
Visualization question answering using introspective program synthesis. PLDI 2022: 137-151 - [c135]Yingrui Yang, Yifan Qiao, Jinjin Shao, Xifeng Yan, Tao Yang:
Lightweight Composite Re-Ranking for Efficient Keyword Search with BERT. WSDM 2022: 1234-1244 - [i35]Weizhi Wang, Li Dong, Hao Cheng, Haoyu Song, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei:
Visually-Augmented Language Modeling. CoRR abs/2205.10178 (2022) - [i34]Jing Qian, Hong Wang, Zekun Li, Shiyang Li, Xifeng Yan:
Limitations of Language Models in Arithmetic and Symbolic Induction. CoRR abs/2208.05051 (2022) - [i33]Jingru Li, Sheng Zhou, Liangcheng Li, Xifeng Yan, Zhi Yu, Jiajun Bu:
How to Teach: Learning Data-Free Knowledge Distillation from Curriculum. CoRR abs/2208.13648 (2022) - [i32]Zekun Li, Wenhu Chen, Shiyang Li, Hong Wang, Jing Qian, Xifeng Yan:
Controllable Dialogue Simulation with In-Context Learning. CoRR abs/2210.04185 (2022) - [i31]Shiyang Li, Jianshu Chen, Yelong Shen, Zhiyu Chen, Xinlu Zhang, Zekun Li, Hong Wang, Jing Qian, Baolin Peng, Yi Mao, Wenhu Chen, Xifeng Yan:
Explanations from Large Language Models Make Small Reasoners Better. CoRR abs/2210.06726 (2022) - [i30]Xinlu Zhang, Shiyang Li, Zhiyu Chen, Xifeng Yan, Linda R. Petzold:
Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling. CoRR abs/2210.12156 (2022) - 2021
- [j34]Bay-Yuan Hsu, Chih-Ya Shen, Xifeng Yan:
Network Intervention for Mental Disorders with Minimum Small Dense Subgroups. IEEE Trans. Knowl. Data Eng. 33(5): 2121-2136 (2021) - [c134]Mingxi Zhang, Xifeng Yan, Wei Wang:
Comprehensively Computing Link-based Similarities by Building A Random Surfer Graph. CIKM 2021: 2578-2587 - [c133]Shiyang Li, Semih Yavuz, Wenhu Chen, Xifeng Yan:
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding. EMNLP (Findings) 2021: 1006-1015 - [c132]Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Fatema Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong:
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers. ICLR 2021 - [c131]Jing Qian, Hong Wang, Mai ElSherief, Xifeng Yan:
Lifelong Learning of Hate Speech Classification on Social Media. NAACL-HLT 2021: 2304-2314 - [c130]Xiaoyong Jin, Yu-Xiang Wang, Xifeng Yan:
Inter-Series Attention Model for COVID-19 Forecasting. SDM 2021: 495-503 - [c129]Yu Gu, Sue Kase, Michelle Vanni, Brian M. Sadler, Percy Liang, Xifeng Yan, Yu Su:
Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases. WWW 2021: 3477-3488 - [i29]Xiaoyong Jin, Youngsuk Park, Danielle C. Maddix, Yuyang Wang, Xifeng Yan:
Attention-based Domain Adaptation for Time Series Forecasting. CoRR abs/2102.06828 (2021) - [i28]Chunbin Gu, Jiajun Bu, Xixi Zhou, Chengwei Yao, Dongfang Ma, Zhi Yu, Xifeng Yan:
Cross-modal Image Retrieval with Deep Mutual Information Maximization. CoRR abs/2103.06032 (2021) - [i27]Yingrui Yang, Yifan Qiao, Jinjin Shao, Mayuresh Anand, Xifeng Yan, Tao Yang:
Composite Re-Ranking for Efficient Document Search with BERT. CoRR abs/2103.06499 (2021) - [i26]Hanwen Zha, Zhiyu Chen, Xifeng Yan:
Inductive Relation Prediction by BERT. CoRR abs/2103.07102 (2021) - [i25]Jing Qian, Hong Wang, Mai ElSherief, Xifeng Yan:
Lifelong Learning of Hate Speech Classification on Social Media. CoRR abs/2106.02821 (2021) - [i24]Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Zhen Zhang, Sheng Zhou, Xifeng Yan:
Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation. CoRR abs/2107.06735 (2021) - [i23]Shiyang Li, Semih Yavuz, Wenhu Chen, Xifeng Yan:
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding. CoRR abs/2109.06466 (2021) - 2020
- [c128]Ning Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu, Sheng Zhou, Xifeng Yan:
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification. CIKM 2020: 1055-1064 - [c127]Wenhu Chen, Yu Su, Xifeng Yan, William Yang Wang:
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation. EMNLP (1) 2020: 8635-8648 - [i22]Wenhu Chen, Yu Su, Xifeng Yan, William Yang Wang:
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation. CoRR abs/2010.02307 (2020) - [i21]Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Fatema Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong:
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers. CoRR abs/2010.12850 (2020) - [i20]Xiaoyong Jin, Yu-Xiang Wang, Xifeng Yan:
Inter-Series Attention Model for COVID-19 Forecasting. CoRR abs/2010.13006 (2020) - [i19]Yu Gu, Sue Kase, Michelle Vanni, Brian M. Sadler, Percy Liang, Xifeng Yan, Yu Su:
Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases. CoRR abs/2011.07743 (2020)
2010 – 2019
- 2019
- [j33]Liang Ma, Mudhakar Srivatsa, Derya Cansever, Xifeng Yan, Sue Kase, Michelle Vanni:
Performance Bounds of Decentralized Search in Expert Networks for Query Answering. ACM Trans. Knowl. Discov. Data 13(2): 18:1-18:23 (2019) - [c126]Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan, Yu Su:
Global Textual Relation Embedding for Relational Understanding. ACL (1) 2019: 1324-1330 - [c125]Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang:
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. ACL (1) 2019: 3696-3709 - [c124]Keqian Li, Shiyang Li, Semih Yavuz, Hanwen Zha, Yu Su, Xifeng Yan:
HierCon: Hierarchical Organization of Technical Documents Based on Concepts. ICDM 2019: 379-388 - [c123]Hanwen Zha, Wenhu Chen, Keqian Li, Xifeng Yan:
Mining Algorithm Roadmap in Scientific Publications. KDD 2019: 1083-1092 - [c122]Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang:
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection. NAACL-HLT (1) 2019: 3487-3497 - [c121]Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan:
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting. NeurIPS 2019: 5244-5254 - [i18]Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang:
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection. CoRR abs/1902.10339 (2019) - [i17]Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang:
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. CoRR abs/1905.12866 (2019) - [i16]Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan, Yu Su:
Global Textual Relation Embedding for Relational Understanding. CoRR abs/1906.00550 (2019) - [i15]Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, Xifeng Yan:
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting. CoRR abs/1907.00235 (2019) - [i14]Yunkai Zhang, Qiao Jiang, Shurui Li, Xiaoyong Jin, Xueying Ma, Xifeng Yan:
You May Not Need Order in Time Series Forecasting. CoRR abs/1910.09620 (2019) - [i13]Arvind Neelakantan, Semih Yavuz, Sharan Narang, Vishaal Prasad, Ben Goodrich, Daniel Duckworth, Chinnadhurai Sankar, Xifeng Yan:
Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning. CoRR abs/1910.14613 (2019) - 2018
- [c120]Izzeddin Gur, Semih Yavuz, Yu Su, Xifeng Yan:
DialSQL: Dialogue Based Structured Query Generation. ACL (1) 2018: 1339-1349 - [c119]Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang:
XL-NBT: A Cross-lingual Neural Belief Tracking Framework. EMNLP 2018: 414-424 - [c118]Semih Yavuz, Izzeddin Gur, Yu Su, Xifeng Yan:
What It Takes to Achieve 100 Percent Condition Accuracy on WikiSQL. EMNLP 2018: 1702-1711 - [c117]Keqian Li, Hanwen Zha, Yu Su, Xifeng Yan:
Concept Mining via Embedding. ICDM 2018: 267-276 - [c116]Yu Su, Honglei Liu, Semih Yavuz, Izzeddin Gur, Huan Sun, Xifeng Yan:
Global Relation Embedding for Relation Extraction. NAACL-HLT 2018: 820-830 - [c115]Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Yang Wang:
Variational Knowledge Graph Reasoning. NAACL-HLT 2018: 1823-1832 - [c114]Keqian Li, Hanwen Zha, Yu Su, Xifeng Yan:
Unsupervised Neural Categorization for Scientific Publications. SDM 2018: 37-45 - [r2]Xifeng Yan:
Mining of Chemical Data. Encyclopedia of Database Systems (2nd ed.) 2018 - [i12]Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Yang Wang:
Variational Knowledge Graph Reasoning. CoRR abs/1803.06581 (2018) - [i11]Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang:
XL-NBT: A Cross-lingual Neural Belief Tracking Framework. CoRR abs/1808.06244 (2018) - 2017
- [c113]Theodore Georgiou, Amr El Abbadi, Xifeng Yan:
Extracting Topics with Focused Communities for Social Content Recommendation. CSCW 2017: 1432-1443 - [c112]Theodore Georgiou, Amr El Abbadi, Xifeng Yan:
Privacy-Preserving Community-Aware Trending Topic Detection in Online Social Media. DBSec 2017: 205-224 - [c111]Semih Yavuz, Izzeddin Gur, Yu Su, Xifeng Yan:
Recovering Question Answering Errors via Query Revision. EMNLP 2017: 903-909 - [c110]Yu Su, Xifeng Yan:
Cross-domain Semantic Parsing via Paraphrasing. EMNLP 2017: 1235-1246 - [c109]Theodore Georgiou, Amr El Abbadi, Xifeng Yan:
Privacy Cyborg: Towards Protecting the Privacy of Social Media Users. ICDE 2017: 1395-1396 - [i10]Yu Su, Honglei Liu, Semih Yavuz, Izzeddin Gur, Huan Sun, Xifeng Yan:
Global Relation Embedding for Relation Extraction. CoRR abs/1704.05958 (2017) - [i9]Yu Su, Xifeng Yan:
Cross-domain Semantic Parsing via Paraphrasing. CoRR abs/1704.05974 (2017) - 2016
- [j32]Fangqiu Han, Subhash Suri, Xifeng Yan:
Observability of Lattice Graphs. Algorithmica 76(2): 474-489 (2016) - [j31]Weiguo Zheng, Lei Zou, Wei Peng, Xifeng Yan, Shaoxu Song, Dongyan Zhao:
Semantic SPARQL Similarity Search Over RDF Knowledge Graphs. Proc. VLDB Endow. 9(11): 840-851 (2016) - [c108]Dong-Anh Nguyen, Shulong Tan, Ram Ramanathan, Xifeng Yan:
Analyzing information sharing strategies of users in online social networks. ASONAM 2016: 247-254 - [c107]Liang Ma, Mudhakar Srivatsa, Derya Cansever, Xifeng Yan, Sue Kase, Michelle Vanni:
Query Answering Efficiency in Expert Networks Under Decentralized Search. CIKM 2016: 2119-2124 - [c106]Semih Yavuz, Izzeddin Gur, Yu Su, Mudhakar Srivatsa, Xifeng Yan:
Improving Semantic Parsing via Answer Type Inference. EMNLP 2016: 149-159 - [c105]Yu Su, Huan Sun, Brian M. Sadler, Mudhakar Srivatsa, Izzeddin Gur, Zenghui Yan, Xifeng Yan:
On Generating Characteristic-rich Question Sets for QA Evaluation. EMNLP 2016: 562-572 - [c104]Liang Ma, Mudhakar Srivatsa, Derya Cansever, Xifeng Yan, Sue Kase, Michelle Vanni:
On the Efficiency of Decentralized Search in Expert Networks. ICDCS 2016: 733-734 - [c103]Shengqi Yang, Fangqiu Han, Yinghui Wu, Xifeng Yan:
Fast top-k search in knowledge graphs. ICDE 2016: 990-1001 - [c102]Honglei Liu, Fangqiu Han, Hongjun Zhou, Xifeng Yan, Kenneth S. Kosik:
Fast motif discovery in short sequences. ICDE 2016: 1158-1169 - [c101]Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri:
Querying knowledge Graphs By Example entity tuples. ICDE 2016: 1494-1495 - [c100]Liang Ma, Mudhakar Srivatsa, Derya Cansever, Xifeng Yan, Sue Kase, Michelle Vanni:
Decentralized search in expert networks: Generic models and performance bounds. ICNP 2016: 1-10 - [c99]Yu Su, Fangqiu Han, Richard E. Harang, Xifeng Yan:
A Fast Kernel for Attributed Graphs. SDM 2016: 486-494 - [c98]Fangqiu Han, Shulong Tan, Huan Sun, Mudhakar Srivatsa, Deng Cai, Xifeng Yan:
Distributed Representations of Expertise. SDM 2016: 531-539 - [c97]Huan Sun, Hao Ma, Xiaodong He, Wen-tau Yih, Yu Su, Xifeng Yan:
Table Cell Search for Question Answering. WWW 2016: 771-782 - [c96]Yang Li, Shulong Tan, Huan Sun, Jiawei Han, Dan Roth, Xifeng Yan:
Entity Disambiguation with Linkless Knowledge Bases. WWW 2016: 1261-1270 - 2015
- [j30]Bo Zong, Xusheng Xiao, Zhichun Li, Zhenyu Wu, Zhiyun Qian, Xifeng Yan, Ambuj K. Singh, Guofei Jiang:
Behavior Query Discovery in System-Generated Temporal Graphs. Proc. VLDB Endow. 9(4): 240-251 (2015) - [j29]Ziyu Guan, Shengqi Yang, Huan Sun, Mudhakar Srivatsa, Xifeng Yan:
Fine-Grained Knowledge Sharing in Collaborative Environments. IEEE Trans. Knowl. Data Eng. 27(8): 2163-2174 (2015) - [j28]Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri:
Querying Knowledge Graphs by Example Entity Tuples. IEEE Trans. Knowl. Data Eng. 27(10): 2797-2811 (2015) - [c95]Theodore Georgiou, Amr El Abbadi, Xifeng Yan, Jemin George:
Mining Complaints for Traffic-Jam Estimation: A Social Sensor Application. ASONAM 2015: 330-335 - [c94]Jonathan Kuck, Honglei Zhuang, Xifeng Yan, Hasan Cam, Jiawei Han:
Query-Based Outlier Detection in Heterogeneous Information Networks. EDBT 2015: 325-336 - [c93]Yu Su, Shengqi Yang, Huan Sun, Mudhakar Srivatsa, Sue Kase, Michelle Vanni, Xifeng Yan:
Exploiting Relevance Feedback in Knowledge Graph Search. KDD 2015: 1135-1144 - [i8]Fangqiu Han, Subhash Suri, Xifeng Yan:
Observability of Lattice Graphs. CoRR abs/1505.02224 (2015) - [i7]Yang Li, Xifeng Yan:
MSPKmerCounter: A Fast and Memory Efficient Approach for K-mer Counting. CoRR abs/1505.06550 (2015) - [i6]Bo Zong, Xusheng Xiao, Zhichun Li, Zhenyu Wu, Zhiyun Qian, Xifeng Yan, Ambuj K. Singh, Guofei Jiang:
Behavior Query Discovery in System-Generated Temporal Graphs. CoRR abs/1511.05911 (2015) - 2014
- [j27]Shengqi Yang, Yinghui Wu, Huan Sun, Xifeng Yan:
Schemaless and Structureless Graph Querying. Proc. VLDB Endow. 7(7): 565-576 (2014) - [j26]Shulong Tan, Yang Li, Huan Sun, Ziyu Guan, Xifeng Yan, Jiajun Bu, Chun Chen, Xiaofei He:
Interpreting the Public Sentiment Variations on Twitter. IEEE Trans. Knowl. Data Eng. 26(5): 1158-1170 (2014) - [j25]Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu:
Multi-Aspect + Transitivity + Bias: An Integral Trust Inference Model. IEEE Trans. Knowl. Data Eng. 26(7): 1706-1719 (2014) - [c92]Divyakant Agrawal, Ceren Budak, Amr El Abbadi, Theodore Georgiou, Xifeng Yan:
Big Data in Online Social Networks: User Interaction Analysis to Model User Behavior in Social Networks. DNIS 2014: 1-16 - [c91]Manish Gupta, Jing Gao, Xifeng Yan, Hasan Cam, Jiawei Han:
Top-K interesting subgraph discovery in information networks. ICDE 2014: 820-831 - [c90]Bo Zong, Ramya Raghavendra, Mudhakar Srivatsa, Xifeng Yan, Ambuj K. Singh, Kang-Won Lee:
Cloud service placement via subgraph matching. ICDE 2014: 832-843 - [c89]Nandish Jayaram, Mahesh Gupta, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri:
GQBE: Querying knowledge graphs by example entity tuples. ICDE 2014: 1250-1253 - [c88]Honglei Zhuang, Jing Zhang, George Brova, Jie Tang, Hasan Çam, Xifeng Yan, Jiawei Han:
Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks. ICDM 2014: 1127-1132 - [c87]Bo Zong, Yinghui Wu, Jie Song, Ambuj K. Singh, Hasan Çam, Jiawei Han, Xifeng Yan:
Towards scalable critical alert mining. KDD 2014: 1057-1066 - [c86]Huan Sun, Mudhakar Srivatsa, Shulong Tan, Yang Li, Lance M. Kaplan, Shu Tao, Xifeng Yan:
Analyzing expert behaviors in collaborative networks. KDD 2014: 1486-1495 - [c85]Feida Zhu, Huan Sun, Xifeng Yan:
Network mining and analysis for social applications. KDD 2014: 1974 - [c84]Jing Zhao, Xiaomei Zhang, Guohong Cao, Mudhakar Srivatsa, Xifeng Yan:
Expertise-Based Data Access in Content-Centric Mobile Opportunistic Networks. MASS 2014: 199-207 - [c83]Ali Zand, Giovanni Vigna, Xifeng Yan, Christopher Kruegel:
Extracting probable command and control signatures for detecting botnets. SAC 2014: 1657-1662 - [c82]Nan Li, Huan Sun, Kyle C. Chipman, Jemin George, Xifeng Yan:
A Probabilistic Approach to Uncovering Attributed Graph Anomalies. SDM 2014: 82-90 - [c81]Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri:
Towards a Query-by-Example System for Knowledge Graphs. GRADES 2014: 11:1-11:6 - [c80]Shengqi Yang, Yanan Xie, Yinghui Wu, Tianyi Wu, Huan Sun, Jian Wu, Xifeng Yan:
SLQ: a user-friendly graph querying system. SIGMOD Conference 2014: 893-896 - [p8]Hong Cheng, Xifeng Yan, Jiawei Han:
Mining Graph Patterns. Frequent Pattern Mining 2014: 307-338 - 2013
- [j24]Yang Li, Pegah Kamousi, Fangqiu Han, Shengqi Yang, Xifeng Yan, Subhash Suri:
Memory Efficient Minimum Substring Partitioning. Proc. VLDB Endow. 6(3): 169-180 (2013) - [j23]Arijit Khan, Yinghui Wu, Charu C. Aggarwal, Xifeng Yan:
NeMa: Fast Graph Search with Label Similarity. Proc. VLDB Endow. 6(3): 181-192 (2013) - [j22]Yinghui Wu, Shengqi Yang, Mudhakar Srivatsa, Arun Iyengar, Xifeng Yan:
Summarizing Answer Graphs Induced by Keyword Queries. Proc. VLDB Endow. 6(14): 1774-1785 (2013) - [j21]Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan, Philip S. Yu, Xiao Yu:
PathSelClus: Integrating Meta-Path Selection with User-Guided Object Clustering in Heterogeneous Information Networks. ACM Trans. Knowl. Discov. Data 7(3): 11:1-11:23 (2013) - [j20]Ziyu Guan, Gengxin Miao, Russell McLoughlin, Xifeng Yan, Deng Cai:
Co-Occurrence-Based Diffusion for Expert Search on the Web. IEEE Trans. Knowl. Data Eng. 25(5): 1001-1014 (2013) - [j19]Jian Wu, Ziyu Guan, Qing Zhang, Ambuj K. Singh, Xifeng Yan:
Static and Dynamic Structural Correlations in Graphs. IEEE Trans. Knowl. Data Eng. 25(9): 2147-2160 (2013) - [c79]Manish Gupta, Jing Gao, Xifeng Yan, Hasan Cam, Jiawei Han:
On detecting association-based clique outliers in heterogeneous information networks. ASONAM 2013: 108-115 - [c78]Kathy Macropol, Petko Bogdanov, Ambuj K. Singh, Linda R. Petzold, Xifeng Yan:
I act, therefore I judge: network sentiment dynamics based on user activity change. ASONAM 2013: 396-402 - [c77]Yinghui Wu, Shengqi Yang, Xifeng Yan:
Ontology-based subgraph querying. ICDE 2013: 697-708 - [c76]Nan Li, Ziyu Guan, Lijie Ren, Jian Wu, Jiawei Han, Xifeng Yan:
gIceberg: Towards iceberg analysis in large graphs. ICDE 2013: 1021-1032 - [c75]Huan Sun, Gengxin Miao, Xifeng Yan:
Noise-Resistant Bicluster Recognition. ICDM 2013: 707-716 - [c74]Ankit Srivastava, Lisa Ferrigno, Stephen Kaminski, Xifeng Yan, Jianwen Su:
Automated Trauma Incident Cubes Analysis. ICHI 2013: 248-257 - [c73]Yang Li, Chi Wang, Fangqiu Han, Jiawei Han, Dan Roth, Xifeng Yan:
Mining evidences for named entity disambiguation. KDD 2013: 1070-1078 - [c72]Huan Sun, Alex Morales, Xifeng Yan:
Synthetic review spamming and defense. KDD 2013: 1088-1096 - [c71]Somesh Jha, Matthew Fredrikson, Mihai Christodorescu, Reiner Sailer, Xifeng Yan:
Synthesizing near-optimal malware specifications from suspicious behaviors. MALWARE 2013: 41-50 - [c70]Aaron J. Elmore, Sudipto Das, Alexander Pucher, Divyakant Agrawal, Amr El Abbadi, Xifeng Yan:
Characterizing tenant behavior for placement and crisis mitigation in multitenant DBMSs. SIGMOD Conference 2013: 517-528 - [c69]Alex Morales, Huan Sun, Xifeng Yan:
Synthetic review spamming and defense. WWW (Companion Volume) 2013: 155-156 - [c68]Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu:
MATRI: a multi-aspect and transitive trust inference model. WWW 2013: 1467-1476 - [p7]Hong Cheng, Jiawei Han, Xifeng Yan, Philip S. Yu:
Efficient Direct Mining of Selective Discriminative Patterns for Classification. Contrast Data Mining 2013: 39-58 - [i5]Nandish Jayaram, Arijit Khan, Chengkai Li, Xifeng Yan, Ramez Elmasri:
Querying Knowledge Graphs by Example Entity Tuples. CoRR abs/1311.2100 (2013) - 2012
- [j18]Ziyu Guan, Xifeng Yan, Lance M. Kaplan:
Measuring Two-Event Structural Correlations on Graphs. Proc. VLDB Endow. 5(11): 1400-1411 (2012) - [j17]Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu:
Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach. Proc. VLDB Endow. 5(12): 2022-2023 (2012) - [c67]Weishan Dong, Wei Fan, Lei Shi, Changjin Zhou, Xifeng Yan:
A general framework to encode heterogeneous information sources for contextual pattern mining. CIKM 2012: 65-74 - [c66]Nan Li, Xifeng Yan, Zhen Wen, Arijit Khan:
Density index and proximity search in large graphs. CIKM 2012: 235-244 - [c65]Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu:
Mining Knowledge from Data: An Information Network Analysis Approach. ICDE 2012: 1214-1217 - [c64]Arijit Khan, Yinghui Wu, Xifeng Yan:
Emerging Graph Queries in Linked Data. ICDE 2012: 1218-1221 - [c63]Bo Zong, Yinghui Wu, Ambuj K. Singh, Xifeng Yan:
Inferring the Underlying Structure of Information Cascades. ICDM 2012: 1218-1223 - [c62]Misael Mongiovì, Ambuj K. Singh, Xifeng Yan, Bo Zong, Konstantinos Psounis:
Efficient multicasting for delay tolerant networks using graph indexing. INFOCOM 2012: 1386-1394 - [c61]Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan, Philip S. Yu, Xiao Yu:
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks. KDD 2012: 1348-1356 - [c60]Gengxin Miao, Ziyu Guan, Louise E. Moser, Xifeng Yan, Shu Tao, Nikos Anerousis, Jimeng Sun:
Latent association analysis of document pairs. KDD 2012: 1415-1423 - [c59]Arijit Khan, Xifeng Yan, Shu Tao, Nikos Anerousis:
Workload characterization and prediction in the cloud: A multiple time series approach. NOMS 2012: 1287-1294 - [c58]Shengqi Yang, Xifeng Yan, Bo Zong, Arijit Khan:
Towards effective partition management for large graphs. SIGMOD Conference 2012: 517-528 - [c57]Gengxin Miao, Shu Tao, Winnie Cheng, Randy Moulic, Louise E. Moser, David Lo, Xifeng Yan:
Understanding task-driven information flow in collaborative networks. WWW 2012: 849-858 - [i4]Yang Li, Pegah Kamousi, Fangqiu Han, Shengqi Yang, Xifeng Yan, Subhash Suri:
Memory Efficient De Bruijn Graph Construction. CoRR abs/1207.3532 (2012) - [i3]Ziyu Guan, Xifeng Yan, Lance M. Kaplan:
Measuring Two-Event Structural Correlations on Graphs. CoRR abs/1208.0221 (2012) - [i2]Bo Zong, Yinghui Wu, Ambuj K. Singh, Xifeng Yan:
Inferring the Underlying Structure of Information Cascades. CoRR abs/1210.3587 (2012) - [i1]Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu:
MaTrust: An Effective Multi-Aspect Trust Inference Model. CoRR abs/1211.2041 (2012) - 2011
- [j16]Hendrik Blockeel, Karsten M. Borgwardt, Luc De Raedt, Pedro M. Domingos, Kristian Kersting, Xifeng Yan:
Guest editorial to the special issue on inductive logic programming, mining and learning in graphs and statistical relational learning. Mach. Learn. 83(2): 133-135 (2011) - [j15]Feida Zhu, Qiang Qu, David Lo, Xifeng Yan, Jiawei Han, Philip S. Yu:
Mining Top-K Large Structural Patterns in a Massive Network. Proc. VLDB Endow. 4(11): 807-818 (2011) - [j14]Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, Tianyi Wu:
PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks. Proc. VLDB Endow. 4(11): 992-1003 (2011) - [c56]Qiang Qu, Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hongyan Li:
Efficient Topological OLAP on Information Networks. DASFAA (1) 2011: 389-403 - [c55]Charu C. Aggarwal, Arijit Khan, Xifeng Yan:
On Flow Authority Discovery in Social Networks. SDM 2011: 522-533 - [c54]Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriyo Chakraborty, Shu Tao:
Neighborhood based fast graph search in large networks. SIGMOD Conference 2011: 901-912 - [c53]Ziyu Guan, Jian Wu, Qing Zhang, Ambuj K. Singh, Xifeng Yan:
Assessing and ranking structural correlations in graphs. SIGMOD Conference 2011: 937-948 - 2010
- [j13]Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt:
Discriminative frequent subgraph mining with optimality guarantees. Stat. Anal. Data Min. 3(5): 302-318 (2010) - [c52]Yi Chen, Shu Tao, Xifeng Yan, Nikos Anerousis, Qihong Shao:
Assessing Expertise Awareness in Resolution Networks. ASONAM 2010: 128-135 - [c51]Peng Sun, Shu Tao, Xifeng Yan, Nikos Anerousis, Yi Chen:
Content-Aware Resolution Sequence Mining for Ticket Routing. BPM 2010: 243-259 - [c50]Lu Liu, Feida Zhu, Chen Chen, Xifeng Yan, Jiawei Han, Philip S. Yu, Shiqiang Yang:
Mining Diversity on Networks. DASFAA (1) 2010: 384-398 - [c49]Xifeng Yan, Bin He, Feida Zhu, Jiawei Han:
Top-K aggregation queries over large networks. ICDE 2010: 377-380 - [c48]Gengxin Miao, Louise E. Moser, Xifeng Yan, Shu Tao, Yi Chen, Nikos Anerousis:
Generative models for ticket resolution in expert networks. KDD 2010: 733-742 - [c47]Norma Saiph Savage, Shoji Nishimura, Norma Elva Chávez, Xifeng Yan:
Frequent trajectory mining on GPS data. LocWeb 2010: 3 - [c46]Nan Li, Yinghui Yang, Xifeng Yan:
Cross-Selling Optimization for Customized Promotion. SDM 2010: 918-929 - [c45]Arijit Khan, Xifeng Yan, Kun-Lung Wu:
Towards proximity pattern mining in large graphs. SIGMOD Conference 2010: 867-878 - [c44]Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu:
Mining knowledge from databases: an information network analysis approach. SIGMOD Conference 2010: 1251-1252 - [c43]Matt Fredrikson, Somesh Jha, Mihai Christodorescu, Reiner Sailer, Xifeng Yan:
Synthesizing Near-Optimal Malware Specifications from Suspicious Behaviors. IEEE Symposium on Security and Privacy 2010: 45-60 - [p6]Hong Cheng, Xifeng Yan, Jiawei Han:
Discriminative Frequent Pattern-Based Graph Classification. Link Mining 2010: 237-262 - [p5]Chen Chen, Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Raghu Ramakrishnan:
InfoNetOLAP: OLAP and Mining of Information Networks. Link Mining 2010: 411-438 - [p4]Chen Chen, Cindy Xide Lin, Matt Fredrikson, Mihai Christodorescu, Xifeng Yan, Jiawei Han:
Mining Large Information Networks by Graph Summarization. Link Mining 2010: 475-501 - [p3]Xifeng Yan, Jiawei Han:
Graph Indexing. Managing and Mining Graph Data 2010: 161-180 - [p2]Hong Cheng, Xifeng Yan, Jiawei Han:
Mining Graph Patterns. Managing and Mining Graph Data 2010: 365-392
2000 – 2009
- 2009
- [j12]Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu:
Graph OLAP: a multi-dimensional framework for graph data analysis. Knowl. Inf. Syst. 21(1): 41-63 (2009) - [j11]Chen Chen, Cindy Xide Lin, Matt Fredrikson, Mihai Christodorescu, Xifeng Yan, Jiawei Han:
Mining Graph Patterns Efficiently via Randomized Summaries. Proc. VLDB Endow. 2(1): 742-753 (2009) - [c42]Jiawei Han, Xifeng Yan, Philip S. Yu:
Scalable OLAP and mining of information networks. EDBT 2009: 1159 - [c41]Ching-Yung Lin, Nan Cao, Shixia Liu, Spiros Papadimitriou, Jimeng Sun, Xifeng Yan:
SmallBlue: Social Network Analysis for Expertise Search and Collective Intelligence. ICDE 2009: 1483-1486 - [c40]Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang, Xifeng Yan:
Identifying bug signatures using discriminative graph mining. ISSTA 2009: 141-152 - [c39]Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt:
Near-optimal Supervised Feature Selection among Frequent Subgraphs. SDM 2009: 1076-1087 - [r1]Xifeng Yan:
Mining of Chemical Data. Encyclopedia of Database Systems 2009: 1748-1750 - 2008
- [j10]Qihong Shao, Yi Chen, Shu Tao, Xifeng Yan, Nikos Anerousis:
EasyTicket: a ticket routing recommendation engine for enterprise problem resolution. Proc. VLDB Endow. 1(2): 1436-1439 (2008) - [j9]Lawrence B. Holder, Xifeng Yan:
Report on the First International Workshop on Mining Graphs and Complex Structures (MGCS'07). SIGMOD Rec. 37(1): 53-55 (2008) - [c38]Chen Chen, Cindy Xide Lin, Xifeng Yan, Jiawei Han:
On effective presentation of graph patterns: a structural representative approach. CIKM 2008: 299-308 - [c37]Hong Cheng, Xifeng Yan, Jiawei Han, Philip S. Yu:
Direct Discriminative Pattern Mining for Effective Classification. ICDE 2008: 169-178 - [c36]Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu:
Graph OLAP: Towards Online Analytical Processing on Graphs. ICDM 2008: 103-112 - [c35]Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Yan, Jiawei Han, Philip S. Yu, Olivier Verscheure:
Direct mining of discriminative and essential frequent patterns via model-based search tree. KDD 2008: 230-238 - [c34]Qihong Shao, Yi Chen, Shu Tao, Xifeng Yan, Nikos Anerousis:
Efficient ticket routing by resolution sequence mining. KDD 2008: 605-613 - [c33]Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu:
Mining significant graph patterns by leap search. SIGMOD Conference 2008: 433-444 - [p1]Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu:
Mining Frequent Approximate Sequential Patterns. Next Generation of Data Mining 2008 - 2007
- [j8]Jiawei Han, Hong Cheng, Dong Xin, Xifeng Yan:
Frequent pattern mining: current status and future directions. Data Min. Knowl. Discov. 15(1): 55-86 (2007) - [j7]Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng:
On compressing frequent patterns. Data Knowl. Eng. 60(1): 5-29 (2007) - [c32]Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hong Cheng:
Mining Colossal Frequent Patterns by Core Pattern Fusion. ICDE 2007: 706-715 - [c31]Hong Cheng, Xifeng Yan, Jiawei Han, Chih-Wei Hsu:
Discriminative Frequent Pattern Analysis for Effective Classification. ICDE 2007: 716-725 - [c30]Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han:
gApprox: Mining Frequent Approximate Patterns from a Massive Network. ICDM 2007: 445-450 - [c29]Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu:
Efficient Discovery of Frequent Approximate Sequential Patterns. ICDM 2007: 751-756 - [c28]Yu Huang, Haifeng Li, Haiyan Hu, Xifeng Yan, Michael S. Waterman, Haiyan Huang, Xianghong Jasmine Zhou:
Systematic discovery of functional modules and context-specific functional annotation of human genome. ISMB/ECCB (Supplement of Bioinformatics) 2007: 222-229 - [c27]Xifeng Yan, Michael R. Mehan, Yu Huang, Michael S. Waterman, Philip S. Yu, Xianghong Jasmine Zhou:
A graph-based approach to systematically reconstruct human transcriptional regulatory modules. ISMB/ECCB (Supplement of Bioinformatics) 2007: 577-586 - [c26]Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu:
gPrune: A Constraint Pushing Framework for Graph Pattern Mining. PAKDD 2007: 388-400 - [c25]Tao Cheng, Xifeng Yan, Kevin Chen-Chuan Chang:
Supporting entity search: a large-scale prototype search engine. SIGMOD Conference 2007: 1144-1146 - [c24]Tao Cheng, Xifeng Yan, Kevin Chen-Chuan Chang:
EntityRank: Searching Entities Directly and Holistically. VLDB 2007: 387-398 - [c23]Chen Chen, Xifeng Yan, Philip S. Yu, Jiawei Han, Dong-Qing Zhang, Xiaohui Gu:
Towards Graph Containment Search and Indexing. VLDB 2007: 926-937 - 2006
- [b1]Xifeng Yan:
Mining, Indexing and Similarity Search in Large Graph Data Sets. University of Illinois Urbana-Champaign, USA, 2006 - [j6]Fei Pan, Kiran Kamath, Kangyu Zhang, Sudip Pulapura, Avinash Achar, Juan Nunez-Iglesias, Yu Huang, Xifeng Yan, Jiawei Han, Haiyan Hu, Min Xu, Jianjun Hu, Xianghong Jasmine Zhou:
Integrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray data. Bioinform. 22(13): 1665-1667 (2006) - [j5]Xifeng Yan, Feida Zhu, Philip S. Yu, Jiawei Han:
Feature-based similarity search in graph structures. ACM Trans. Database Syst. 31(4): 1418-1453 (2006) - [j4]Chao Liu, Long Fei, Xifeng Yan, Jiawei Han, Samuel P. Midkiff:
Statistical Debugging: A Hypothesis Testing-Based Approach. IEEE Trans. Software Eng. 32(10): 831-848 (2006) - [c22]Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu:
Searching Substructures with Superimposed Distance. ICDE 2006: 88 - [c21]Jiawei Han, Xifeng Yan, Philip S. Yu:
Mining, Indexing, and Similarity Search in Graphs and Complex Structures. ICDE 2006: 106 - [c20]Dong Xin, Hong Cheng, Xifeng Yan, Jiawei Han:
Extracting redundancy-aware top-k patterns. KDD 2006: 444-453 - [c19]Chao Liu, Xifeng Yan, Jiawei Han:
Mining Control Flow Abnormality for Logic Error Isolation. SDM 2006: 106-117 - 2005
- [j3]Petre Tzvetkov, Xifeng Yan, Jiawei Han:
TSP: Mining top-k closed sequential patterns. Knowl. Inf. Syst. 7(4): 438-457 (2005) - [j2]Xifeng Yan, Philip S. Yu, Jiawei Han:
Graph indexing based on discriminative frequent structure analysis. ACM Trans. Database Syst. 30(4): 960-993 (2005) - [c18]Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han:
Mining Closed Relational Graphs with Connectivity Constraints. ICDE 2005: 357-358 - [c17]Haiyan Hu, Xifeng Yan, Yu Huang, Jiawei Han, Xianghong Jasmine Zhou:
Mining coherent dense subgraphs across massive biological networks for functional discovery. ISMB (Supplement of Bioinformatics) 2005: 213-221 - [c16]Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiawei Han:
Mining hidden community in heterogeneous social networks. LinkKDD 2005: 58-65 - [c15]Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin:
Summarizing itemset patterns: a profile-based approach. KDD 2005: 314-323 - [c14]Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han:
Mining closed relational graphs with connectivity constraints. KDD 2005: 324-333 - [c13]Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiawei Han:
Community Mining from Multi-relational Networks. PKDD 2005: 445-452 - [c12]Chao Liu, Xifeng Yan, Hwanjo Yu, Jiawei Han, Philip S. Yu:
Mining Behavior Graphs for "Backtrace" of Noncrashing Bugs. SDM 2005: 286-297 - [c11]Hong Cheng, Xifeng Yan, Jiawei Han:
SeqIndex: Indexing Sequences by Sequential Pattern Analysis. SDM 2005: 601-605 - [c10]Xifeng Yan, Philip S. Yu, Jiawei Han:
Substructure Similarity Search in Graph Databases. SIGMOD Conference 2005: 766-777 - [c9]Wei Wang, Chen Wang, Yongtai Zhu, Baile Shi, Jian Pei, Xifeng Yan, Jiawei Han:
GraphMiner: a structural pattern-mining system for large disk-based graph databases and its applications. SIGMOD Conference 2005: 879-881 - [c8]Chao Liu, Xifeng Yan, Long Fei, Jiawei Han, Samuel P. Midkiff:
SOBER: statistical model-based bug localization. ESEC/SIGSOFT FSE 2005: 286-295 - [c7]Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng:
Mining Compressed Frequent-Pattern Sets. VLDB 2005: 709-720 - 2004
- [j1]Jiawei Han, Jian Pei, Xifeng Yan:
From Sequential Pattern Mining to Structured Pattern Mining: A Pattern-Growth Approach. J. Comput. Sci. Technol. 19(3): 257-279 (2004) - [c6]Hong Cheng, Xifeng Yan, Jiawei Han:
IncSpan: incremental mining of sequential patterns in large database. KDD 2004: 527-532 - [c5]Xifeng Yan, Philip S. Yu, Jiawei Han:
Graph Indexing: A Frequent Structure-based Approach. SIGMOD Conference 2004: 335-346 - 2003
- [c4]Petre Tzvetkov, Xifeng Yan, Jiawei Han:
TSP: Mining Top-K Closed Sequential Patterns. ICDM 2003: 347-354 - [c3]Xifeng Yan, Jiawei Han:
CloseGraph: mining closed frequent graph patterns. KDD 2003: 286-295 - [c2]Xifeng Yan, Jiawei Han, Ramin Afshar:
CloSpan: Mining Closed Sequential Patterns in Large Datasets. SDM 2003: 166-177 - 2002
- [c1]Xifeng Yan, Jiawei Han:
gSpan: Graph-Based Substructure Pattern Mining. ICDM 2002: 721-724
Coauthor Index
aka: Zhiyu Zoey Chen
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