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- affiliation: Instacart
- affiliation (former): Google
- affiliation (former): University of California, Los Angeles, USA
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Journal Articles
- 2024
[j85]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 47(1): 1 (2024)- [j84]Wenlu Wang
, Jingjing Li, Wei-Shinn Ku, Haixun Wang:
Multilingual spatial domain natural language interface to databases. GeoInformatica 28(1): 29-52 (2024) - 2023
- [j83]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 46(1): 1 (2023) - [j82]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 46(2): 1 (2023) - [j81]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 46(3): 1 (2023) - [j80]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 46(4): 1-2 (2023) - [j79]Alon Y. Halevy, Yejin Choi, Avrilia Floratou, Michael J. Franklin, Natasha F. Noy, Haixun Wang:
Will LLMs reshape, supercharge, or kill data science? Proc. VLDB Endow. 16(12): 4114-4115 (2023) - [j78]Haixun Wang, Taesik Na:
Rethinking E-Commerce Search. SIGIR Forum 57(2): 24:1-24:19 (2023) - 2022
- [j77]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 45(1): 1 (2022) - [j76]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 45(2): 1 (2022) - [j75]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 45(3): 1 (2022) - [j74]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 45(4): 1 (2022) - 2021
- [j73]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 44(1): 1 (2021) - [j72]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 44(2): 1 (2021) - [j71]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 44(3): 1 (2021) - [j70]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 44(4): 1 (2021) - 2020
- [j69]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 43(1): 1 (2020) - [j68]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 43(2): 1 (2020) - [j67]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 43(3): 1 (2020) - [j66]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 43(4): 1 (2020) - 2019
- [j65]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 42(1): 1 (2019) - [j64]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 42(2): 1 (2019) - [j63]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 42(3): 1 (2019) - [j62]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 42(4): 1 (2019) - 2018
- [j61]Haixun Wang:
Letter from the Editor-in-Chief. IEEE Data Eng. Bull. 41(4): 3 (2018) - [j60]Pei-Pei Li, Haixun Wang, Hongsong Li, Xindong Wu:
Employing Semantic Context for Sparse Information Extraction Assessment. ACM Trans. Knowl. Discov. Data 12(5): 54:1-54:36 (2018) - [j59]Sen Hu, Lei Zou, Jeffrey Xu Yu, Haixun Wang, Dongyan Zhao:
Answering Natural Language Questions by Subgraph Matching over Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 30(5): 824-837 (2018) - [j58]Zhixu Li, Ying He, Binbin Gu, An Liu, Hongsong Li, Haixun Wang, Xiaofang Zhou:
Diagnosing and Minimizing Semantic Drift in Iterative Bootstrapping Extraction. IEEE Trans. Knowl. Data Eng. 30(5): 852-865 (2018) - 2017
- [j57]Haixun Wang:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 40(3): 5 (2017) - [j56]Bin Shao, Yatao Li, Haixun Wang, Huanhuan Xia:
Trinity Graph Engine and its Applications. IEEE Data Eng. Bull. 40(3): 18-29 (2017) - [j55]Wanyun Cui, Yanghua Xiao, Haixun Wang, Yangqiu Song, Seung-won Hwang, Wei Wang:
KBQA: Learning Question Answering over QA Corpora and Knowledge Bases. Proc. VLDB Endow. 10(5): 565-576 (2017) - [j54]Haiquan Chen, Wei-Shinn Ku, Haixun Wang, Liang Tang, Min-Te Sun:
Scaling Up Markov Logic Probabilistic Inference for Social Graphs. IEEE Trans. Knowl. Data Eng. 29(2): 433-445 (2017) - [j53]Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu:
Semantic Bootstrapping: A Theoretical Perspective. IEEE Trans. Knowl. Data Eng. 29(2): 446-457 (2017) - [j52]Wen Hua, Zhongyuan Wang, Haixun Wang, Kai Zheng, Xiaofang Zhou:
Understand Short Texts by Harvesting and Analyzing Semantic Knowledge. IEEE Trans. Knowl. Data Eng. 29(3): 499-512 (2017) - [j51]Jiaqing Liang, Yanghua Xiao, Haixun Wang, Yi Zhang, Wei Wang:
Probase+: Inferring Missing Links in Conceptual Taxonomies. IEEE Trans. Knowl. Data Eng. 29(6): 1281-1295 (2017) - 2016
- [j50]Haixun Wang:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 39(3): 4 (2016) - [j49]Hongbin Ma, Bin Shao, Yanghua Xiao, Liang Jeff Chen, Haixun Wang:
G-SQL: Fast Query Processing via Graph Exploration. Proc. VLDB Endow. 9(12): 900-911 (2016) - [j48]Zhongyuan Wang, Fang Wang, Haixun Wang, Zhirui Hu, Jun Yan, Fangtao Li, Ji-Rong Wen, Zhoujun Li:
Unsupervised Head-Modifier Detection in Search Queries. ACM Trans. Knowl. Discov. Data 11(2): 19:1-19:28 (2016) - [j47]Zheng Yu, Haixun Wang, Xuemin Lin, Min Wang:
Understanding Short Texts through Semantic Enrichment and Hashing. IEEE Trans. Knowl. Data Eng. 28(2): 566-579 (2016) - [j46]Shuai Ma, Kaiyu Feng, Jianxin Li, Haixun Wang, Gao Cong, Jinpeng Huai:
Proxies for Shortest Path and Distance Queries. IEEE Trans. Knowl. Data Eng. 28(7): 1835-1850 (2016) - 2015
- [j45]Haixun Wang, Jeffrey Xu Yu:
Guest Editorial: Special Issue on Managing and Mining Massive Graphs. Distributed Parallel Databases 33(4): 477-478 (2015) - [j44]Yangqiu Song, Shixia Liu, Xueqing Liu, Haixun Wang:
Automatic Taxonomy Construction from Keywords via Scalable Bayesian Rose Trees. IEEE Trans. Knowl. Data Eng. 27(7): 1861-1874 (2015) - [j43]Pei-Pei Li, Haixun Wang, Kenny Q. Zhu, Zhongyuan Wang, Xuegang Hu, Xindong Wu:
A Large Probabilistic Semantic Network Based Approach to Compute Term Similarity. IEEE Trans. Knowl. Data Eng. 27(10): 2604-2617 (2015) - [j42]Ye Yuan, Guoren Wang, Lei Chen, Haixun Wang:
Graph similarity search on large uncertain graph databases. VLDB J. 24(2): 271-296 (2015) - [j41]Hyuk-Yoon Kwon, Haixun Wang, Kyu-Young Whang:
G-Index Model: A generic model of index schemes for top-k spatial-keyword queries. World Wide Web 18(4): 969-995 (2015) - 2014
- [j40]Erik Cambria, Yangqiu Song, Haixun Wang, Newton Howard:
Semantic Multidimensional Scaling for Open-Domain Sentiment Analysis. IEEE Intell. Syst. 29(2): 44-51 (2014) - [j39]Erik Cambria, Haixun Wang, Bebo White:
Guest Editorial: Big Social Data Analysis. Knowl. Based Syst. 69: 1-2 (2014) - [j38]Zhitao Shen, Muhammad Aamir Cheema, Xuemin Lin, Wenjie Zhang, Haixun Wang:
A Generic Framework for Top-k Pairs and Top-k Objects Queries over Sliding Windows. IEEE Trans. Knowl. Data Eng. 26(6): 1349-1366 (2014) - [j37]Muhammad Aamir Cheema, Xuemin Lin, Haixun Wang, Wenjie Zhang:
A Unified Framework for Answering k Closest Pairs Queries and Variants. IEEE Trans. Knowl. Data Eng. 26(11): 2610-2624 (2014) - [j36]James Cheng, Zechao Shang, Hong Cheng, Haixun Wang, Jeffrey Xu Yu:
Efficient processing of k-hop reachability queries. VLDB J. 23(2): 227-252 (2014) - 2013
- [j35]Erik Cambria, Björn W. Schuller, Bing Liu, Haixun Wang, Catherine Havasi:
Knowledge-Based Approaches to Concept-Level Sentiment Analysis. IEEE Intell. Syst. 28(2): 12-14 (2013) - [j34]Erik Cambria, Björn W. Schuller, Bing Liu, Haixun Wang, Catherine Havasi:
Statistical Approaches to Concept-Level Sentiment Analysis. IEEE Intell. Syst. 28(3): 6-9 (2013) - [j33]Wei-Shinn Ku, Ling Hu, Cyrus Shahabi, Haixun Wang:
A query integrity assurance scheme for accessing outsourced spatial databases. GeoInformatica 17(1): 97-124 (2013) - [j32]Jinho Kim, Sang-Wook Kim, Sanghyun Park, Haixun Wang:
Preface. J. Comput. Sci. Technol. 28(4): 583-584 (2013) - [j31]Kai Zeng, Jiacheng Yang, Haixun Wang, Bin Shao, Zhongyuan Wang:
A Distributed Graph Engine for Web Scale RDF Data. Proc. VLDB Endow. 6(4): 265-276 (2013) - [j30]Zichao Qi, Yanghua Xiao, Bin Shao, Haixun Wang:
Toward a Distance Oracle for Billion-Node Graphs. Proc. VLDB Endow. 7(1): 61-72 (2013) - [j29]Hongsong Li, Kenny Q. Zhu, Haixun Wang:
Data-Driven Metaphor Recognition and Explanation. Trans. Assoc. Comput. Linguistics 1: 379-390 (2013) - [j28]Wei-Shinn Ku, Haiquan Chen, Haixun Wang, Min-Te Sun:
A Bayesian Inference-Based Framework for RFID Data Cleansing. IEEE Trans. Knowl. Data Eng. 25(10): 2177-2191 (2013) - [j27]Ye Yuan, Guoren Wang, Lei Chen, Haixun Wang:
Efficient Keyword Search on Uncertain Graph Data. IEEE Trans. Knowl. Data Eng. 25(12): 2767-2779 (2013) - [j26]Jianbin Qin, Wei Wang, Chuan Xiao, Yifei Lu, Xuemin Lin, Haixun Wang:
Asymmetric signature schemes for efficient exact edit similarity query processing. ACM Trans. Database Syst. 38(3): 16 (2013) - [j25]Hyuk-Yoon Kwon, Kyu-Young Whang, Il-Yeol Song, Haixun Wang:
RASIM: a rank-aware separate index method for answering top-k spatial keyword queries. World Wide Web 16(2): 111-139 (2013) - 2012
- [j24]Zhao Sun, Hongzhi Wang, Haixun Wang, Bin Shao, Jianzhong Li:
Efficient Subgraph Matching on Billion Node Graphs. Proc. VLDB Endow. 5(9): 788-799 (2012) - [j23]Ye Yuan, Guoren Wang, Lei Chen, Haixun Wang:
Efficient Subgraph Similarity Search on Large Probabilistic Graph Databases. Proc. VLDB Endow. 5(9): 800-811 (2012) - [j22]James Cheng, Zechao Shang, Hong Cheng, Haixun Wang, Jeffrey Xu Yu:
K-Reach: Who is in Your Small World. Proc. VLDB Endow. 5(11): 1292-1303 (2012) - [j21]Ying Zhang, Xuemin Lin, Yufei Tao, Wenjie Zhang, Haixun Wang:
Efficient Computation of Range Aggregates against Uncertain Location-Based Queries. IEEE Trans. Knowl. Data Eng. 24(7): 1244-1258 (2012) - 2011
- [j20]Ruoming Jin, Lin Liu, Bolin Ding, Haixun Wang:
Distance-Constraint Reachability Computation in Uncertain Graphs. Proc. VLDB Endow. 4(9): 551-562 (2011) - [j19]Ye Yuan, Guoren Wang, Haixun Wang, Lei Chen:
Efficient Subgraph Search over Large Uncertain Graphs. Proc. VLDB Endow. 4(11): 876-886 (2011) - [j18]Taesung Lee, Zhongyuan Wang, Haixun Wang, Seung-won Hwang:
Web Scale Taxonomy Cleansing. Proc. VLDB Endow. 4(12): 1295-1306 (2011) - [j17]Wei-Ying Ma, Tie-Yan Liu, Ji-Rong Wen, Zheng Chen, Zaiqing Nie, Xing Xie, Hang Li, Haixun Wang, Yu Zheng:
A conversation with MSRA researchers. SIGKDD Explor. 13(2): 82-84 (2011) - [j16]Ruoming Jin, Ning Ruan, Yang Xiang, Haixun Wang:
Path-tree: An efficient reachability indexing scheme for large directed graphs. ACM Trans. Database Syst. 36(1): 7:1-7:44 (2011) - [j15]Yan-Nei Law, Haixun Wang, Carlo Zaniolo:
Relational languages and data models for continuous queries on sequences and data streams. ACM Trans. Database Syst. 36(2): 8:1-8:32 (2011) - 2010
- [j14]Xiaofeng Meng, Jiaheng Lu, Jie Qiu, Ying Chen, Haixun Wang:
Report on the first international workshop on cloud data management (CloudDB 2009). SIGMOD Rec. 39(1): 58-60 (2010) - [j13]Tao Li, Wei Peng, Charles Perng, Sheng Ma, Haixun Wang:
An Integrated Data-Driven Framework for Computing System Management. IEEE Trans. Syst. Man Cybern. Part A 40(1): 90-99 (2010) - 2008
- [j12]Yijian Bai, Hetal Thakkar, Haixun Wang, Carlo Zaniolo:
Time-Stamp Management and Query Execution in Data Stream Management Systems. IEEE Internet Comput. 12(6): 13-21 (2008) - [j11]Haixun Wang, Jian Pei:
Clustering by Pattern Similarity. J. Comput. Sci. Technol. 23(4): 481-496 (2008) - [j10]Wei-Shinn Ku, Roger Zimmermann, Haixun Wang:
Location-Based Spatial Query Processing in Wireless Broadcast Environments. IEEE Trans. Mob. Comput. 7(6): 778-791 (2008) - 2007
- [j9]Peng Wang, Haixun Wang, Xiaochen Wu, Wei Wang, Baile Shi:
A Low-Granularity Classifier for Data Streams with Concept Drifts and Biased Class Distribution. IEEE Trans. Knowl. Data Eng. 19(9): 1202-1213 (2007) - 2006
- [j8]Yun Chi, Haixun Wang, Philip S. Yu, Richard R. Muntz:
Catch the moment: maintaining closed frequent itemsets over a data stream sliding window. Knowl. Inf. Syst. 10(3): 265-294 (2006) - [j7]Jian Pei, Haixun Wang, Jian Liu, Ke Wang, Jianyong Wang, Philip S. Yu:
Discovering Frequent Closed Partial Orders from Strings. IEEE Trans. Knowl. Data Eng. 18(11): 1467-1481 (2006) - 2005
- [j6]Jiong Yang, Haixun Wang, Wei Wang, Philip S. Yu:
An Improved Biclustering Method for Analyzing Gene Expression Profiles. Int. J. Artif. Intell. Tools 14(5): 771-790 (2005) - [j5]Moonjung Cho, Jian Pei, Haixun Wang, Wei Wang:
Preference-Based Frequent Pattern Mining. Int. J. Data Warehous. Min. 1(4): 56-77 (2005) - [j4]Haixun Wang, Chang-Shing Perng, Sheng Ma, Philip S. Yu:
Demand-driven frequent itemset mining using pattern structures. Knowl. Inf. Syst. 8(1): 82-102 (2005) - 2003
- [j3]Zhiyuan Chen, Li Chen, Jian Pei, Yufei Tao, Haixun Wang, Wei Wang, Jiong Yang, Jun Yang, Donghui Zhang:
Recent Progress on Selected Topics in Database Research - A Report by Nine Young Chinese Researchers Working in the United States. J. Comput. Sci. Technol. 18(5): 538-552 (2003) - [j2]Faiz Arni, KayLiang Ong, Shalom Tsur, Haixun Wang, Carlo Zaniolo:
The Deductive Database System LDL++. Theory Pract. Log. Program. 3(1): 61-94 (2003) - 2002
- [j1]Chang-Shing Perng, Haixun Wang, Sheng Ma, Joseph L. Hellerstein:
Discovery in multi-attribute data with user-defined constraints. SIGKDD Explor. 4(1): 56-64 (2002)
Conference and Workshop Papers
- 2023
- [c173]Ziyi Kou, Saurav Manchanda, Shih-Ting Lin, Min Xie, Haixun Wang, Xiangliang Zhang:
Modeling Sequential Collaborative User Behaviors For Seller-Aware Next Basket Recommendation. CIKM 2023: 1097-1106 - [c172]Jun Wu, Lisa Ainsworth, Andrew Leakey, Haixun Wang, Jingrui He:
Graph-Structured Gaussian Processes for Transferable Graph Learning. NeurIPS 2023 - [c171]Chuanwei Ruan, Allan Stewart, Han Li, Ryan Ye, David Vengerov, Haixun Wang:
Dynamic Embedding-based Retrieval for Personalized Item Recommendations at Instacart. WWW (Companion Volume) 2023: 983-987 - 2022
- [c170]Hao Jiang, Jingying Zhou, Allan Stewart, Haixun Wang:
A Short Survey on the User Cold Start Problem in Recommender Systems: Metadata and Meta-Learning Methods. IEEE Big Data 2022: 3928-3934 - [c169]Yao Zhou, Jun Wu, Haixun Wang, Jingrui He:
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning. CIKM 2022: 2753-2762 - [c168]Mohammadbagher Fotouhi, Haixun Wang, Payman Arabshahi, Wei Cheng:
Extraction of Reliable and Actionable Information from Social Media During Emergencies. GHTC 2022: 461-464 - [c167]Haixun Wang:
Rethink e-Commerce Search. WSDM 2022: 1653 - 2021
- [c166]Hongliang Dai, Yangqiu Song, Haixun Wang:
Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model. ACL/IJCNLP (1) 2021: 1790-1799 - [c165]Negin Entezari, Evangelos E. Papalexakis, Haixun Wang, Sharath Rao, Shishir Kumar Prasad:
Tensor-based Complementary Product Recommendation. IEEE BigData 2021: 409-415 - 2020
- [c164]Wenlu Wang, Yingtao Tian, Haixun Wang, Wei-Shinn Ku:
A Natural Language Interface for Database: Achieving Transfer-learnability Using Adversarial Method for Question Understanding. ICDE 2020: 97-108 - 2019
- [c163]Jingjing Li, Wenlu Wang, Wei-Shinn Ku, Yingtao Tian, Haixun Wang:
SpatialNLI: A Spatial Domain Natural Language Interface to Databases Using Spatial Comprehension. SIGSPATIAL/GIS 2019: 339-348 - 2018
- [c162]Sen Hu, Lei Zou, Jeffrey Xu Yu, Haixun Wang, Dongyan Zhao:
Answering Natural Language Questions by Subgraph Matching over Knowledge Graphs (Extended Abstract). ICDE 2018: 1815-1816 - 2017
- [c161]Jiaqing Liang, Yanghua Xiao, Yi Zhang, Seung-won Hwang, Haixun Wang:
Graph-Based Wrong IsA Relation Detection in a Large-Scale Lexical Taxonomy. AAAI 2017: 1178-1184 - [c160]Jiaqing Liang, Yi Zhang, Yanghua Xiao, Haixun Wang, Wei Wang, Pinpin Zhu:
On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical Taxonomies. AAAI 2017: 1185-1191 - [c159]Chenhao Xie, Lihan Chen, Jiaqing Liang, Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang:
Automatic Navbox Generation by Interpretable Clustering over Linked Entities. CIKM 2017: 1857-1865 - [c158]Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu:
Semantic Bootstrapping: A Theoretical Perspective. ICDE 2017: 7-8 - [c157]Shuai Ma, Kaiyu Feng, Jianxin Li, Haixun Wang, Gao Cong, Jinpeng Huai:
Proxies for Shortest Path and Distance Queries. ICDE 2017: 61-62 - [c156]Yi Zhang, Yanghua Xiao, Seung-won Hwang, Haixun Wang, X. Sean Wang, Wei Wang:
Entity Suggestion with Conceptual Expanation. IJCAI 2017: 4244-4250 - 2016
- [c155]Wanyun Cui, Xiyou Zhou, Hangyu Lin, Yanghua Xiao, Haixun Wang, Seung-won Hwang, Wei Wang:
Verb Pattern: A Probabilistic Semantic Representation on Verbs. AAAI 2016: 2587-2593 - [c154]Jin-Woo Park, Seung-won Hwang, Haixun Wang:
Fine-Grained Semantic Conceptualization of FrameNet. AAAI 2016: 2638-2644 - [c153]Xiangyan Sun, Haixun Wang, Yanghua Xiao, Zhongyuan Wang:
Syntactic Parsing of Web Queries. EMNLP 2016: 1787-1796 - [c152]Zheng Yu, Haixun Wang, Xuemin Lin, Min Wang:
Understanding short texts through semantic enrichment and hashing. ICDE 2016: 1552-1553 - [c151]Bo Xu, Chenhao Xie, Yi Zhang, Yanghua Xiao, Haixun Wang, Wei Wang:
Learning Defining Features for Categories. IJCAI 2016: 3924-3930 - 2015
- [c150]Zhongyuan Wang, Haixun Wang, Ji-Rong Wen, Yanghua Xiao:
An Inference Approach to Basic Level of Categorization. CIKM 2015: 653-662 - [c149]Wen Hua, Zhongyuan Wang, Haixun Wang, Kai Zheng, Xiaofang Zhou:
Short text understanding through lexical-semantic analysis. ICDE 2015: 495-506 - [c148]Denilson Barbosa, Haixun Wang, Cong Yu:
Inferencing in information extraction: Techniques and applications. ICDE 2015: 1534-1537 - [c147]Xiangyan Sun, Yanghua Xiao, Haixun Wang, Wei Wang:
On Conceptual Labeling of a Bag of Words. IJCAI 2015: 1326-1332 - [c146]Zheng Yu, Haixun Wang, Xuemin Lin, Min Wang:
Learning Term Embeddings for Hypernymy Identification. IJCAI 2015: 1390-1397 - [c145]Zhongyuan Wang, Kejun Zhao, Haixun Wang, Xiaofeng Meng, Ji-Rong Wen:
Query Understanding through Knowledge-Based Conceptualization. IJCAI 2015: 3264-3270 - [c144]Yangqiu Song, Shusen Wang, Haixun Wang:
Open Domain Short Text Conceptualization: A Generative + Descriptive Modeling Approach. IJCAI 2015: 3820-3826 - [c143]Lexing Xie, Haixun Wang:
Learning Knowledge Bases for Multimedia in 2015. ACM Multimedia 2015: 1323-1324 - 2014
- [c142]Yangqiu Song, Haixun Wang, Weizhu Chen, Shusen Wang:
Transfer Understanding from Head Queries to Tail Queries. CIKM 2014: 1299-1308 - [c141]Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang:
WiiCluster: a Platform for Wikipedia Infobox Generation. CIKM 2014: 2033-2035 - [c140]Zhixu Li, Hongsong Li, Haixun Wang, Yi Yang, Xiangliang Zhang, Xiaofang Zhou:
Overcoming Semantic Drift in Information Extraction. EDBT 2014: 169-180 - [c139]Zhongyuan Wang, Haixun Wang, Zhirui Hu:
Head, modifier, and constraint detection in short texts. ICDE 2014: 280-291 - [c138]Lu Wang, Yanghua Xiao, Bin Shao, Haixun Wang:
How to partition a billion-node graph. ICDE 2014: 568-579 - [c137]Lexing Xie, Haixun Wang:
Learning Knowledge Bases for Text and Multimedia. ACM Multimedia 2014: 1235-1236 - [c136]Lei Zou, Ruizhe Huang, Haixun Wang, Jeffrey Xu Yu, Wenqiang He, Dongyan Zhao:
Natural language question answering over RDF: a graph data driven approach. SIGMOD Conference 2014: 313-324 - [c135]Wanyun Cui, Yanghua Xiao, Haixun Wang, Wei Wang:
Local search of communities in large graphs. SIGMOD Conference 2014: 991-1002 - 2013
- [c134]Haixun Wang:
Understanding Short Texts. APWeb 2013: 1 - [c133]Zhiyuan Cai, Kaiqi Zhao, Kenny Q. Zhu, Haixun Wang:
Wikification via link co-occurrence. CIKM 2013: 1087-1096 - [c132]Pei-Pei Li, Haixun Wang, Kenny Q. Zhu, Zhongyuan Wang, Xindong Wu:
Computing term similarity by large probabilistic isA knowledge. CIKM 2013: 1401-1410 - [c131]Pei-Pei Li, Haixun Wang, Hongsong Li, Xindong Wu:
Assessing sparse information extraction using semantic contexts. CIKM 2013: 1709-1714 - [c130]Lipyeow Lim, Haixun Wang, Min Wang:
Semantic queries by example. EDBT 2013: 347-358 - [c129]Taesung Lee, Zhongyuan Wang, Haixun Wang, Seung-won Hwang:
Attribute extraction and scoring: A probabilistic approach. ICDE 2013: 194-205 - [c128]Haiquan Chen, Wei-Shinn Ku, Haixun Wang, Liang Tang, Min-Te Sun:
LinkProbe: Probabilistic inference on large-scale social networks. ICDE 2013: 290-301 - [c127]Zhixian Zhang, Kenny Q. Zhu, Haixun Wang, Hongsong Li:
Automatic extraction of top-k lists from the web. ICDE 2013: 1057-1068 - [c126]Denilson Barbosa, Haixun Wang, Cong Yu:
Shallow Information Extraction for the knowledge Web. ICDE 2013: 1264-1267 - [c125]Weiren Yu, Charu C. Aggarwal, Shuai Ma, Haixun Wang:
On Anomalous Hotspot Discovery in Graph Streams. ICDM 2013: 1271-1276 - [c124]Dongwoo Kim, Haixun Wang, Alice Oh:
Context-Dependent Conceptualization. IJCAI 2013: 2654-2661 - [c123]Jack Sun, Franky, Kenny Q. Zhu, Haixun Wang:
Query Suggestion by Concept Instantiation. ISWC (Posters & Demos) 2013: 181-184 - [c122]Jinyang Gao, Xuan Liu, Beng Chin Ooi, Haixun Wang, Gang Chen:
An online cost sensitive decision-making method in crowdsourcing systems. SIGMOD Conference 2013: 217-228 - [c121]Wanyun Cui, Yanghua Xiao, Haixun Wang, Yiqi Lu, Wei Wang:
Online search of overlapping communities. SIGMOD Conference 2013: 277-288 - [c120]Bin Shao, Haixun Wang, Yatao Li:
Trinity: a distributed graph engine on a memory cloud. SIGMOD Conference 2013: 505-516 - [c119]Wen Hua, Yangqiu Song, Haixun Wang, Xiaofang Zhou:
Identifying users' topical tasks in web search. WSDM 2013: 93-102 - 2012
- [c118]Jingjing Wang, Haixun Wang, Zhongyuan Wang, Kenny Qili Zhu:
Understanding Tables on the Web. ER 2012: 141-155 - [c117]Yue Wang, Hongsong Li, Haixun Wang, Kenny Qili Zhu:
Concept-Based Web Search. ER 2012: 449-462 - [c116]Zhitao Shen, Muhammad Aamir Cheema, Xuemin Lin, Wenjie Zhang, Haixun Wang:
Efficiently Monitoring Top-k Pairs over Sliding Windows. ICDE 2012: 798-809 - [c115]Xueqing Liu, Yangqiu Song, Shixia Liu, Haixun Wang:
Automatic taxonomy construction from keywords. KDD 2012: 1433-1441 - [c114]Zhixian Zhang, Kenny Qili Zhu, Haixun Wang:
A system for extracting top-K lists from the web. KDD 2012: 1560-1563 - [c113]Wentao Wu, Hongsong Li, Haixun Wang, Kenny Qili Zhu:
Probase: a probabilistic taxonomy for text understanding. SIGMOD Conference 2012: 481-492 - [c112]Bolin Ding, Haixun Wang, Ruoming Jin, Jiawei Han, Zhongyuan Wang:
Optimizing index for taxonomy keyword search. SIGMOD Conference 2012: 493-504 - [c111]Bin Shao, Haixun Wang, Yanghua Xiao:
Managing and mining large graphs: systems and implementations. SIGMOD Conference 2012: 589-592 - [c110]Danqi Chen, Weizhu Chen, Haixun Wang, Zheng Chen, Qiang Yang:
Beyond ten blue links: enabling user click modeling in federated web search. WSDM 2012: 463-472 - 2011
- [c109]Lijun Chang, Jeffrey Xu Yu, Lu Qin, Yuanyuan Zhu, Haixun Wang:
Finding information nebula over large networks. CIKM 2011: 1465-1474 - [c108]Haibo Hu, Haixun Wang, Baihua Zheng:
Challenges in Managing and Mining Large, Heterogeneous Data. DASFAA (2) 2011: 462 - [c107]Jiuming Huang, Haixun Wang, Yan Jia, Ariel Fuxman:
Link-based hidden attribute discovery for objects on Web. EDBT 2011: 473-484 - [c106]Muhammad Aamir Cheema, Xuemin Lin, Haixun Wang, Jianmin Wang, Wenjie Zhang:
A unified approach for computing top-k pairs in multidimensional space. ICDE 2011: 1031-1042 - [c105]Charu C. Aggarwal, Haixun Wang:
On dimensionality reduction of massive graphs for indexing and retrieval. ICDE 2011: 1091-1102 - [c104]Erik Cambria, Yangqiu Song, Haixun Wang, Amir Hussain:
Isanette: A Common and Common Sense Knowledge Base for Opinion Mining. ICDM Workshops 2011: 315-322 - [c103]Zekai Gao, Yangqiu Song, Shixia Liu, Haixun Wang, Hao Wei, Yang Chen, Weiwei Cui:
Tracking and Connecting Topics via Incremental Hierarchical Dirichlet Processes. ICDM 2011: 1056-1061 - [c102]Yangqiu Song, Haixun Wang, Zhongyuan Wang, Hongsong Li, Weizhu Chen:
Short Text Conceptualization Using a Probabilistic Knowledgebase. IJCAI 2011: 2330-2336 - [c101]Peng Wang, Haixun Wang, Wei Wang:
Finding semantics in time series. SIGMOD Conference 2011: 385-396 - [c100]Mohan Yang, Haixun Wang, Haiquan Chen, Wei-Shinn Ku:
Querying uncertain data with aggregate constraints. SIGMOD Conference 2011: 817-828 - 2010
- [c99]Haiquan Chen, Wei-Shinn Ku, Haixun Wang:
Cleansing uncertain databases leveraging aggregate constraints. ICDE Workshops 2010: 128-135 - [c98]Yongmin Tan, Xiaohui Gu, Haixun Wang:
Adaptive system anomaly prediction for large-scale hosting infrastructures. PODC 2010: 173-182 - [c97]Feimin Zhong, Dong Wang, Gang Wang, Weizhu Chen, Yuchen Zhang, Zheng Chen, Haixun Wang:
Incorporating post-click behaviors into a click model. SIGIR 2010: 355-362 - [c96]Haiquan Chen, Wei-Shinn Ku, Haixun Wang, Min-Te Sun:
Leveraging spatio-temporal redundancy for RFID data cleansing. SIGMOD Conference 2010: 51-62 - [c95]Ruoming Jin, Hui Hong, Haixun Wang, Ning Ruan, Yang Xiang:
Computing label-constraint reachability in graph databases. SIGMOD Conference 2010: 123-134 - [c94]Peng Wang, Haixun Wang, Majin Liu, Wei Wang:
An algorithmic approach to event summarization. SIGMOD Conference 2010: 183-194 - [c93]Mohan Yang, Haixun Wang, Lipyeow Lim, Min Wang:
Optimizing content freshness of relations extracted from the web using keyword search. SIGMOD Conference 2010: 819-830 - [c92]Chaokun Wang, Jianmin Wang, Xuemin Lin, Wei Wang, Haixun Wang, Hongsong Li, Wanpeng Tian, Jun Xu, Rui Li:
MapDupReducer: detecting near duplicates over massive datasets. SIGMOD Conference 2010: 1119-1122 - 2009
- [c91]Xue-wen Chen, Haixun Wang, Xiaotong Lin:
Learning to rank with a novel kernel perceptron method. CIKM 2009: 505-512 - [c90]Lipyeow Lim, Haixun Wang, Min Wang:
Semantic queries in databases: problems and challenges. CIKM 2009: 1505-1508 - [c89]Xiaofeng Meng, Haixun Wang, Ying Chen:
CloudDB workshop summary. CIKM 2009: 2119-2120 - [c88]Risi Thonangi, Hao He, AnHai Doan, Haixun Wang, Jun Yang:
Weighted Proximity Best-Joins for Information Retrieval. ICDE 2009: 234-245 - [c87]Xiaohui Gu, Haixun Wang:
Online Anomaly Prediction for Robust Cluster Systems. ICDE 2009: 1000-1011 - [c86]Shixi Chen, Haixun Wang, Shuigeng Zhou:
Concept Clustering of Evolving Data. ICDE 2009: 1327-1330 - [c85]Zeyuan Allen Zhu, Weizhu Chen, Chenguang Zhu, Gang Wang, Haixun Wang, Zheng Chen:
Inverse Time Dependency in Convex Regularized Learning. ICDM 2009: 667-676 - [c84]Wei-Shinn Ku, Ling Hu, Cyrus Shahabi, Haixun Wang:
Query Integrity Assurance of Location-Based Services Accessing Outsourced Spatial Databases. SSTD 2009: 80-97 - 2008
- [c83]Haixun Wang, Jian Yin, Chang-Shing Perng, Philip S. Yu:
Dual encryption for query integrity assurance. CIKM 2008: 863-872 - [c82]Jiefeng Cheng, Jeffrey Xu Yu, Xuemin Lin, Haixun Wang, Philip S. Yu:
Fast computing reachability labelings for large graphs with high compression rate. EDBT 2008: 193-204 - [c81]Min Xie, Haixun Wang, Jian Yin, Xiaofeng Meng:
Providing freshness guarantees for outsourced databases. EDBT 2008: 323-332 - [c80]Lipyeow Lim, Haixun Wang, Min Wang:
Modeling and Querying E-Commerce Data in Hybrid Relational-XML DBMSs. ER 2008: 294-310 - [c79]Junyi Xie, Jun Yang, Yuguo Chen, Haixun Wang, Philip S. Yu:
A Sampling-Based Approach to Information Recovery. ICDE 2008: 476-485 - [c78]Jiefeng Cheng, Jeffrey Xu Yu, Bolin Ding, Philip S. Yu, Haixun Wang:
Fast Graph Pattern Matching. ICDE 2008: 913-922 - [c77]Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. Yu:
Stop Chasing Trends: Discovering High Order Models in Evolving Data. ICDE 2008: 923-932 - [c76]Ruoming Jin, Yang Xiang, Ning Ruan, Haixun Wang:
Efficiently answering reachability queries on very large directed graphs. SIGMOD Conference 2008: 595-608 - [c75]Jiangming Yang, Haixun Wang, Ning Gu, Yiming Liu, Chunsong Wang, Qiwei Zhang:
Lock-free consistency control for web 2.0 applications. WWW 2008: 725-734 - 2007
- [c74]Jian Pei, Ada Wai-Chee Fu, Xuemin Lin, Haixun Wang:
Computing Compressed Multidimensional Skyline Cubes Efficiently. ICDE 2007: 96-105 - [c73]Xiaohui Gu, Philip S. Yu, Haixun Wang:
Adaptive Load Diffusion for Multiway Windowed Stream Joins. ICDE 2007: 146-155 - [c72]Haoliang Jiang, Haixun Wang, Philip S. Yu, Shuigeng Zhou:
GString: A Novel Approach for Efficient Search in Graph Databases. ICDE 2007: 566-575 - [c71]Yijian Bai, Hetal Thakkar, Haixun Wang, Carlo Zaniolo:
A Flexible Query Graph Based Model for the Efficient Execution of Continuous Queries. ICDE Workshops 2007: 634-643 - [c70]Yijian Bai, Hetal Thakkar, Haixun Wang, Carlo Zaniolo:
Optimizing Timestamp Management in Data Stream Management Systems. ICDE 2007: 1334-1338 - [c69]Wei-Shinn Ku, Roger Zimmermann, Haixun Wang:
Location-based Spatial Queries with Data Sharing in Wireless Broadcast Environments. ICDE 2007: 1355-1359 - [c68]Lipyeow Lim, Haixun Wang, Min Wang:
Semantic Data Management: Towards Querying Data with their Meaning. ICDE 2007: 1438-1442 - [c67]Wei Peng, Charles Perng, Tao Li, Haixun Wang:
Event summarization for system management. KDD 2007: 1028-1032 - [c66]Yijian Bai, Haixun Wang, Carlo Zaniolo:
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach. SDM 2007: 425-430 - [c65]Chengkai Li, Min Wang, Lipyeow Lim, Haixun Wang, Kevin Chen-Chuan Chang:
Supporting ranking and clustering as generalized order-by and group-by. SIGMOD Conference 2007: 127-138 - [c64]Hao He, Haixun Wang, Jun Yang, Philip S. Yu:
BLINKS: ranked keyword searches on graphs. SIGMOD Conference 2007: 305-316 - [c63]Lipyeow Lim, Haixun Wang, Min Wang:
Unifying Data and Domain Knowledge Using Virtual Views. VLDB 2007: 255-266 - [c62]Min Xie, Haixun Wang, Jian Yin, Xiaofeng Meng:
Integrity Auditing of Outsourced Data. VLDB 2007: 782-793 - [c61]Kun-Lung Wu, Philip S. Yu, Bugra Gedik, Kirsten Hildrum, Charu C. Aggarwal, Eric Bouillet, Wei Fan, David George, Xiaohui Gu, Gang Luo, Haixun Wang:
Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S. VLDB 2007: 1185-1196 - 2006
- [c60]Yijian Bai, Hetal Thakkar, Haixun Wang, Chang Luo, Carlo Zaniolo:
A data stream language and system designed for power and extensibility. CIKM 2006: 337-346 - [c59]Jiefeng Cheng, Jeffrey Xu Yu, Xuemin Lin, Haixun Wang, Philip S. Yu:
Fast Computation of Reachability Labeling for Large Graphs. EDBT 2006: 961-979 - [c58]Haixun Wang, Hao He, Jun Yang, Philip S. Yu, Jeffrey Xu Yu:
Dual Labeling: Answering Graph Reachability Queries in Constant Time. ICDE 2006: 75 - [c57]Peng Wang, Haixun Wang, Wei Wang, Baile Shi, Philip S. Yu:
LOCI: Load Shedding through Class-Preserving Data Acquisition. ICDM 2006: 701-710 - [c56]Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Haixun Wang, David W. Cheung, Huan Liu:
A Balanced Ensemble Approach to Weighting Classifiers for Text Classification. ICDM 2006: 869-873 - [c55]Chang-Shing Perng, Haixun Wang, Sheng Ma:
Fast Relevance Discovery in Time Series. ICDM 2006: 1016-1020 - [c54]Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jeffrey Xu Yu:
Suppressing model overfitting in mining concept-drifting data streams. KDD 2006: 736-741 - [c53]Qi Zhao, Mitsunori Ogihara, Haixun Wang, Jun (Jim) Xu:
Finding global icebergs over distributed data sets. PODS 2006: 298-307 - 2005
- [c52]Hao He, Haixun Wang, Jun Yang, Philip S. Yu:
Compact reachability labeling for graph-structured data. CIKM 2005: 594-601 - [c51]Haixun Wang, Wei Wang:
Stay Current and Relevant in Data Mining Research. DASFAA 2005: 239 - [c50]Haixun Wang, Xiaofeng Meng:
On the Sequencing of Tree Structures for XML Indexing. ICDE 2005: 372-383 - [c49]Haixun Wang, Jian Pei, Philip S. Yu:
Online Mining of Data Streams: Applications, Techniques and Progress. ICDE 2005: 1146 - [c48]Peng Wang, Haixun Wang, Xiaochen Wu, Wei Wang, Baile Shi:
On Reducing Classifier Granularity in Mining Concept-Drifting Data Streams. ICDM 2005: 474-481 - [c47]Jian Pei, Jian Liu, Haixun Wang, Ke Wang, Philip S. Yu, Jianyong Wang:
Efficiently Mining Frequent Closed Partial Orders. ICDM 2005: 753-756 - [c46]Haixun Wang, Jian Pei, Philip S. Yu:
Pattern-based similarity search for microarray data. KDD 2005: 814-819 - [c45]Haixun Wang, Jian Pei:
A Random Method for Quantifying Changing Distributions in Data Streams. PKDD 2005: 684-691 - [c44]Yun Chi, Philip S. Yu, Haixun Wang, Richard R. Muntz:
Loadstar: A Load Shedding Scheme for Classifying Data Streams. SDM 2005: 346-357 - [c43]Haixun Wang, Chang-Shing Perng, Philip S. Yu:
Near-Neighbor Search in Pattern Distance Spaces. SDM 2005: 586-590 - [c42]Chang Luo, Hetal Thakkar, Haixun Wang, Carlo Zaniolo:
A native extension of SQL for mining data streams. SIGMOD Conference 2005: 873-875 - [c41]Yun Chi, Haixun Wang, Philip S. Yu:
Loadstar: Load Shedding in Data Stream Mining. VLDB 2005: 1303-1305 - 2004
- [c40]Wei Fan, Philip S. Yu, Haixun Wang:
Mining Extremely Skewed Trading Anomalies. EDBT 2004: 801-810 - [c39]Yun Chi, Haixun Wang, Philip S. Yu, Richard R. Muntz:
Moment: Maintaining Closed Frequent Itemsets over a Stream Sliding Window. ICDM 2004: 59-66 - [c38]Wei Fan, Yi-an Huang, Haixun Wang, Philip S. Yu:
Active Mining of Data Streams. SDM 2004: 457-461 - [c37]Xiaofeng Meng, Yu Jiang, Yan Chen, Haixun Wang:
XSeq: An Index Infrastructure for Tree Pattern Queries. SIGMOD Conference 2004: 941-942 - [c36]Haixun Wang, Fang Chu, Wei Fan, Philip S. Yu, Jian Pei:
A Fast Algorithm for Subspace Clustering by Pattern Similarity. SSDBM 2004: 51-60 - [c35]Yan-Nei Law, Haixun Wang, Carlo Zaniolo:
Query Languages and Data Models for Database Sequences and Data Streams. VLDB 2004: 492-503 - [c34]Yu Wang, Haixun Wang, Xiaofeng Meng, Shan Wang:
Estimating the Selectivity of XML Path Expression with Predicates by Histograms. WAIM 2004: 409-418 - 2003
- [c33]Jiong Yang, Haixun Wang, Wei Wang, Philip S. Yu:
Enhanced Biclustering on Expression Data. BIBE 2003: 321-327 - [c32]Haixun Wang, Chang-Shing Perng, Wei Fan, Sanghyun Park, Philip S. Yu:
Indexing Weighted-Sequences in Large Databases. ICDE 2003: 63-74 - [c31]Wei Fan, Haixun Wang, Philip S. Yu, Sheng Ma:
Is random model better? On its accuracy and efficiency. ICDM 2003: 51-58 - [c30]Jian Pei, Xiaoling Zhang, Moonjung Cho, Haixun Wang, Philip S. Yu:
MaPle: A Fast Algorithm for Maximal Pattern-based Clustering. ICDM 2003: 259-266 - [c29]Wei Fan, Haixun Wang, Philip S. Yu, Shaw-Hwa Lo:
Inductive Learning in Less Than One Sequential Data Scan. IJCAI 2003: 595-600 - [c28]Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han:
Mining concept-drifting data streams using ensemble classifiers. KDD 2003: 226-235 - [c27]Haixun Wang, Carlo Zaniolo:
ATLaS: A Native Extension of SQL for Data Mining. SDM 2003: 130-141 - [c26]Carlo Zaniolo, Chang Luo, Y. Law, Haixun Wang:
Incompleteness of Database Languages for Data Streams and Data Mining: the Problem and the Cure. SEBD 2003: 5-20 - [c25]Haixun Wang, Sanghyun Park, Wei Fan, Philip S. Yu:
ViST: A Dynamic Index Method for Querying XML Data by Tree Structures. SIGMOD Conference 2003: 110-121 - [c24]Haixun Wang, Carlo Zaniolo, Chang Luo:
ATLAS: A Small but Complete SQL Extension for Data Mining and Data Streams. VLDB 2003: 1113-1116 - 2002
- [c23]Wei Fan, Fang Chu, Haixun Wang, Philip S. Yu:
Pruning and Dynamic Scheduling of Cost-Sensitive Ensembles. AAAI/IAAI 2002: 146-151 - [c22]Haixun Wang, Chang-Shing Perng, Wei Fan, Philip S. Yu:
An Index Structure for Pattern Similarity Searching in DNA Microarray Dat. CSB 2002: 256-267 - [c21]Haixun Wang, Carlo Zaniolo:
Extending SQL for Decision Support Applications. DMDW 2002: 1-2 - [c20]Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. Stolfo:
A Fully Distributed Framework for Cost-Sensitive Data Mining. ICDCS 2002: 445-446 - [c19]Haixun Wang, Carlo Zaniolo:
The ATLaS System and Its Powerful Database Language Based on Simple Extensions of SQL. ICDE 2002: 280-281 - [c18]Jiong Yang, Wei Wang, Haixun Wang, Philip S. Yu:
delta-Clusters: Capturing Subspace Correlation in a Large Data Set. ICDE 2002: 517-528 - [c17]Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apté:
Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing. ICDM 2002: 3-10 - [c16]Wei Fan, Haixun Wang, Philip S. Yu, Shaw-Hwa Lo, Salvatore J. Stolfo:
Progressive Modeling. ICDM 2002: 163-170 - [c15]Chang-Shing Perng, Haixun Wang, Sheng Ma, Joseph L. Hellerstein:
User-directed Exploration of Mining Space with Multiple Attributes. ICDM 2002: 394-401 - [c14]Haixun Wang, Chang-Shing Perng, Sheng Ma, Philip S. Yu:
Mining Associations by Pattern Structure in Large Relational Tables. ICDM 2002: 482-489 - [c13]Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. Stolfo:
A Framework for Scalable Cost-sensitive Learning Based on Combing Probabilities and Benefits. SDM 2002: 437-453 - [c12]Haixun Wang, Wei Wang, Jiong Yang, Philip S. Yu:
Clustering by pattern similarity in large data sets. SIGMOD Conference 2002: 394-405 - 2001
- [c11]Chang-Shing Perng, Haixun Wang, Sheng Ma, Joseph L. Hellerstein:
FARM: A Framework for Exploring Mining Spaces with Multiple Attributes. ICDM 2001: 449-456 - [c10]Haixun Wang, Philip S. Yu:
SSDT: A Scalable Subspace-Splitting Classifier for Biased Data. ICDM 2001: 542-549 - [c9]Haixun Wang, Chang-Shing Perng:
The S2-Tree : An Index Structure for Subsequence Matching of Spatial Objects. PAKDD 2001: 312-323 - 2000
- [c8]Haixun Wang, Carlo Zaniolo:
Database System Extensions for Decision Support: the AXL Approach. ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 2000: 11-20 - [c7]Chang-Shing Perng, Haixun Wang, Sylvia R. Zhang, Douglas Stott Parker Jr.:
Landmarks: a New Model for Similarity-based Pattern Querying in Time Series Databases. ICDE 2000: 33-42 - [c6]Haixun Wang, Carlo Zaniolo:
User Defined Aggregates in Object-Relational Systems. ICDE 2000: 135-144 - [c5]Haixun Wang, Carlo Zaniolo:
CMP: A Fast Decision Tree Classifier Using Multivariate Predictions. ICDE 2000: 449-460 - [c4]Haixun Wang, Carlo Zaniolo:
Using SQL to Build New Aggregates and Extenders for Object- Relational Systems. VLDB 2000: 166-175 - 1999
- [c3]Haixun Wang, Carlo Zaniolo:
User-Defined Aggregates in Database Languages. DBPL 1999: 43-60 - [c2]Haixun Wang, Carlo Zaniolo:
User-Defined Aggregates for Datamining. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 1999 - 1998
- [c1]Haixun Wang, Carlo Zaniolo:
User Defined Aggregates for Logical Data Languages. DDLP 1998: 85-97
Parts in Books or Collections
- 2016
- [p9]Nikolay Laptev, Barzan Mozafari, Hamid Mousavi, Hetal Thakkar, Haixun Wang, Kai Zeng, Carlo Zaniolo:
Extending Relational Query Languages for Data Streams. Data Stream Management 2016: 361-386 - 2011
- [p8]Charu C. Aggarwal, Haixun Wang:
Text Mining in Social Networks. Social Network Data Analytics 2011: 353-378 - 2010
- [p7]Haixun Wang, Philip S. Yu, Jiawei Han:
Mining Concept-Drifting Data Streams. Data Mining and Knowledge Discovery Handbook 2010: 789-802 - [p6]Charu C. Aggarwal, Haixun Wang:
An Introduction to Graph Data. Managing and Mining Graph Data 2010: 1-11 - [p5]Charu C. Aggarwal, Haixun Wang:
Graph Data Management and Mining: A Survey of Algorithms and Applications. Managing and Mining Graph Data 2010: 13-68 - [p4]Haixun Wang, Charu C. Aggarwal:
A Survey of Algorithms for Keyword Search on Graph Data. Managing and Mining Graph Data 2010: 249-273 - [p3]Charu C. Aggarwal, Haixun Wang:
A Survey of Clustering Algorithms for Graph Data. Managing and Mining Graph Data 2010: 275-301 - 2005
- [p2]Haixun Wang, Philip S. Yu, Jiawei Han:
Mining Data Streams. The Data Mining and Knowledge Discovery Handbook 2005: 777-792 - 1999
- [p1]Carlo Zaniolo, Haixun Wang:
Logic-Based User-Defined Aggregates for the Next Generation of Database Systems. The Logic Programming Paradigm 1999: 401-426
Editorship
- 2023
- [e13]Rajesh Bordawekar, Cinzia Cappiello, Vasilis Efthymiou, Lisa Ehrlinger, Vijay Gadepally, Sainyam Galhotra, Sandra Geisler, Sven Groppe, Le Gruenwald, Alon Y. Halevy, Hazar Harmouch, Oktie Hassanzadeh, Ihab F. Ilyas, Ernesto Jiménez-Ruiz, Sanjay Krishnan, Tirthankar Lahiri, Guoliang Li, Jiaheng Lu, Wolfgang Mauerer, Umar Farooq Minhas, Felix Naumann, M. Tamer Özsu, El Kindi Rezig, Kavitha Srinivas, Michael Stonebraker, Satyanarayana R. Valluri, Maria-Esther Vidal, Haixun Wang, Jiannan Wang, Yingjun Wu, Xun Xue, Mohamed Zaït, Kai Zeng:
Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28 - September 1, 2023. CEUR Workshop Proceedings 3462, CEUR-WS.org 2023 [contents] - 2020
- [e12]Claudia Plant, Haixun Wang, Alfredo Cuzzocrea, Carlo Zaniolo, Xindong Wu:
20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020. IEEE 2020, ISBN 978-1-7281-8316-9 [contents] - 2018
- [e11]Alfredo Cuzzocrea, James Allan, Norman W. Paton, Divesh Srivastava, Rakesh Agrawal, Andrei Z. Broder, Mohammed J. Zaki, K. Selçuk Candan, Alexandros Labrinidis, Assaf Schuster, Haixun Wang:
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018. ACM 2018, ISBN 978-1-4503-6014-2 [contents] - 2016
- [e10]Huajun Chen, Heng Ji, Le Sun, Haixun Wang, Tieyun Qian, Tong Ruan:
Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data - First China Conference, CCKS 2016, Beijing, China, September 19-22, 2016, Revised Selected Papers. Communications in Computer and Information Science 650, Springer 2016, ISBN 978-981-10-3167-0 [contents] - 2014
- [e9]Wen-Chih Peng, Haixun Wang, James Bailey, Vincent S. Tseng, Tu Bao Ho, Zhi-Hua Zhou, Arbee L. P. Chen:
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA,Tainan, Taiwan, May 13-16, 2014. Revised Selected Papers. Lecture Notes in Computer Science 8643, Springer 2014, ISBN 978-3-319-13185-6 [contents] - 2012
- [e8]Xue-wen Chen, Guy Lebanon, Haixun Wang, Mohammed J. Zaki:
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012. ACM 2012, ISBN 978-1-4503-1156-4 [contents] - 2011
- [e7]Myra Spiliopoulou, Haixun Wang, Diane J. Cook, Jian Pei, Wei Wang, Osmar R. Zaïane, Xindong Wu:
Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, Canada, December 11, 2011. IEEE Computer Society 2011, ISBN 978-0-7695-4409-0 [contents] - [e6]Xue-wen Chen, Tharam S. Dillon, Hisao Ishibuchi, Jian Pei, Haixun Wang, M. Arif Wani:
10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 1: Main Conference. IEEE Computer Society 2011, ISBN 978-0-7695-4607-0 [contents] - [e5]Xue-wen Chen, Tharam S. Dillon, Hisao Ishibuchi, Jian Pei, Haixun Wang, M. Arif Wani:
10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 2: Special Sessions and Workshop. IEEE Computer Society 2011 [contents] - [e4]Haixun Wang, Shijun Li, Satoshi Oyama, Xiaohua Hu, Tieyun Qian:
Web-Age Information Management - 12th International Conference, WAIM 2011, Wuhan, China, September 14-16, 2011. Proceedings. Lecture Notes in Computer Science 6897, Springer 2011, ISBN 978-3-642-23534-4 [contents] - 2010
- [e3]Charu C. Aggarwal, Haixun Wang:
Managing and Mining Graph Data. Advances in Database Systems 40, Springer 2010, ISBN 978-1-4419-6044-3 [contents] - 2009
- [e2]Xiaofeng Meng, Haixun Wang, Ying Chen:
Proceedings of the First International CIKM Workshop on Cloud Data Management, CloudDB 2009, Hong Kong, China, November 2, 2009. ACM 2009, ISBN 978-1-60558-802-5 [contents] - 2007
- [e1]Kevin Chen-Chuan Chang, Wei Wang, Lei Chen, Clarence A. Ellis, Ching-Hsien Hsu, Ah Chung Tsoi, Haixun Wang:
Advances in Web and Network Technologies, and Information Management, APWeb/WAIM 2007 International Workshops: DBMAN 2007, WebETrends 2007, PAIS 2007 and ASWAN 2007, Huang Shan, China, June 16-18, 2007, Proceedings. Lecture Notes in Computer Science 4537, Springer 2007, ISBN 978-3-540-72908-2 [contents]
Informal and Other Publications
- 2023
- [i17]Xiaochen Wang, Xiao Xiao, Ruhan Zhang, Xuan Zhang, Taesik Na, Tejaswi Tenneti, Haixun Wang, Fenglong Ma:
Mitigating Pooling Bias in E-commerce Search via False Negative Estimation. CoRR abs/2311.06444 (2023) - [i16]Haixun Wang, Taesik Na:
Rethinking E-Commerce Search. CoRR abs/2312.03217 (2023) - 2022
- [i15]Yuqing Xie, Taesik Na, Xiao Xiao, Saurav Manchanda, Young Rao, Zhihong Xu, Guanghua Shu, Esther Vasiete, Tejaswi Tenneti, Haixun Wang:
An Embedding-Based Grocery Search Model at Instacart. CoRR abs/2209.05555 (2022) - 2021
- [i14]Hongliang Dai, Yangqiu Song, Haixun Wang:
Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model. CoRR abs/2106.04098 (2021) - [i13]Yao Zhou, Haonan Wang, Jingrui He, Haixun Wang:
From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems. CoRR abs/2110.14844 (2021) - 2019
- [i12]Wanyun Cui, Yanghua Xiao, Haixun Wang, Yangqiu Song, Seung-won Hwang, Wei Wang:
KBQA: Learning Question Answering over QA Corpora and Knowledge Bases. CoRR abs/1903.02419 (2019) - [i11]Jingjing Li, Wenlu Wang, Wei-Shinn Ku, Yingtao Tian, Haixun Wang:
SpatialNLI: A Spatial Domain Natural Language Interface to Databases Using Spatial Comprehension. CoRR abs/1908.10917 (2019) - 2018
- [i10]Wenlu Wang, Yingtao Tian, Hongyu Xiong, Haixun Wang, Wei-Shinn Ku:
A Transfer-Learnable Natural Language Interface for Databases. CoRR abs/1809.02649 (2018) - 2017
- [i9]Wanyun Cui, Xiyou Zhou, Hangyu Lin, Yanghua Xiao, Haixun Wang, Seung-won Hwang, Wei Wang:
Verb Pattern: A Probabilistic Semantic Representation on Verbs. CoRR abs/1710.07695 (2017) - 2015
- [i8]Yi Zhang, Yanghua Xiao, Seung-won Hwang, Haixun Wang, X. Sean Wang, Wei Wang:
Entity Suggestion by Example using a Conceptual Taxonomy. CoRR abs/1511.08996 (2015) - 2014
- [i7]Shuai Ma, Kaiyu Feng, Haixun Wang, Jianxin Li, Jinpeng Huai:
Distance Landmarks Revisited for Road Graphs. CoRR abs/1401.2690 (2014) - [i6]Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang:
The Links Have It: Infobox Generation by Summarization over Linked Entities. CoRR abs/1406.6449 (2014) - 2013
- [i5]Ruoming Jin, Ning Ruan, Bo You, Haixun Wang:
Hub-Accelerator: Fast and Exact Shortest Path Computation in Large Social Networks. CoRR abs/1305.0507 (2013) - 2012
- [i4]Zhao Sun, Hongzhi Wang, Haixun Wang, Bin Shao, Jianzhong Li:
Efficient Subgraph Matching on Billion Node Graphs. CoRR abs/1205.6691 (2012) - [i3]Ye Yuan, Guoren Wang, Lei Chen, Haixun Wang:
Efficient Subgraph Similarity Search on Large Probabilistic Graph Databases. CoRR abs/1205.6692 (2012) - [i2]James Cheng, Zechao Shang, Hong Cheng, Haixun Wang, Jeffrey Xu Yu:
K-Reach: Who is in Your Small World. CoRR abs/1208.0090 (2012) - 2002
- [i1]Faiz Arni, KayLiang Ong, Shalom Tsur, Haixun Wang, Carlo Zaniolo:
The Deductive Database System LDL++. CoRR cs.DB/0202001 (2002)
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