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ORCIDH. V. Jagadish
Hosagrahar Visvesvaraya Jagadish
Person information
- affiliation: University of Michigan, Department of Electrical Engineering and Computer Science, Ann Arbor, USA
- affiliation: AT&T Research, Murray Hill, NJ, USA
- affiliation: AT&T Bell Labs, Murray Hill, NJ, USA
- affiliation (PhD): Stanford University, CA, USA
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2020 – today
- 2024
[j148]Junjie Xing, Xinyu Wang, H. V. Jagadish:
Data-Driven Insight Synthesis for Multi-Dimensional Data. Proc. VLDB Endow. 17(5): 1007-1019 (2024)- [j147]Qingpeng Cai, Kaiping Zheng, H. V. Jagadish, Beng Chin Ooi, James Wei Luen Yip:
CohortNet: Empowering Cohort Discovery for Interpretable Healthcare Analytics. Proc. VLDB Endow. 17(10): 2487-2500 (2024) - [j146]Mahdi Erfanian, H. V. Jagadish, Abolfazl Asudeh:
Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities. Proc. VLDB Endow. 17(11): 3470-3483 (2024) - [j145]Jiwon Chang
, Bohan Cui, Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish:
Data distribution tailoring revisited: cost-efficient integration of representative data. VLDB J. 33(5): 1283-1306 (2024) - [c232]Farima Fatahi Bayat, Xin Liu, H. V. Jagadish, Lu Wang:
Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression. ACL (Findings) 2024: 12388-12400 - [c231]Yin Lin, Bolin Ding, H. V. Jagadish, Jingren Zhou:
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions. CIDR 2024 - [c230]Yin Lin, Samika Gupta, H. V. Jagadish:
Mitigating Subgroup Unfairness in Machine Learning Classifiers: A Data-Driven Approach. ICDE 2024: 2151-2163 - [c229]Weicheng Wang, Raymond Chi-Wing Wong, H. V. Jagadish, Min Xie:
Reverse Regret Query. ICDE 2024: 4100-4112 - [c228]Junjie Xing, H. V. Jagadish:
ARTS: A System for Aggregate Related Table Search. ICDE 2024: 5461-5464 - [c227]Kaiping Zheng, Horng Ruey Chua, Melanie Herschel, H. V. Jagadish, Beng Chin Ooi, James Wei Luen Yip:
Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics. ICML 2024 - [c226]Fei Xiao, Shaofeng Cai, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang:
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection. KDD 2024: 6025-6036 - [c225]H. V. Jagadish:
Detecting and Fixing Unfairness in Data-Driven Decision Making. SEBD 2024: 3 - [e6]Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu:
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14855, Springer 2024, ISBN 978-981-97-5571-4 [contents] - [e5]Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu:
Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 14856, Springer 2024, ISBN 978-981-97-5574-5 [contents] - [e4]Themis Palpanas, H. V. Jagadish:
Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference, Paestum, Italy, March 25, 2024. CEUR Workshop Proceedings 3651, CEUR-WS.org 2024 [contents] - [i46]Mahdi Erfanian, H. V. Jagadish, Abolfazl Asudeh:
Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities. CoRR abs/2402.01071 (2024) - [i45]Farima Fatahi Bayat, Xin Liu, H. V. Jagadish, Lu Wang:
LITO: Learnable Intervention for Truthfulness Optimization. CoRR abs/2405.00301 (2024) - [i44]Qingpeng Cai, Kaiping Zheng, H. V. Jagadish, Beng Chin Ooi, James Wei Luen Yip:
CohortNet: Empowering Cohort Discovery for Interpretable Healthcare Analytics. CoRR abs/2406.14015 (2024) - [i43]Fei Xiao, Shaofeng Cai, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang:
VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection. CoRR abs/2408.00513 (2024) - 2023
- [j144]Nima Shahbazi, Yin Lin, Abolfazl Asudeh, H. V. Jagadish:
Representation Bias in Data: A Survey on Identification and Resolution Techniques. ACM Comput. Surv. 55(13s): 293:1-293:39 (2023) - [j143]Jinyang Li, Alon Silberstein, Yuval Moskovitch, Julia Stoyanovich, H. V. Jagadish:
ERICA: Query Refinement for Diversity Constraint Satisfaction. Proc. VLDB Endow. 16(12): 4070-4073 (2023) - [j142]Jinyang Li, Yuval Moskovitch, Julia Stoyanovich, H. V. Jagadish:
Query Refinement for Diversity Constraint Satisfaction. Proc. VLDB Endow. 17(2): 106-118 (2023) - [j141]Tianji Cong, Madelon Hulsebos, Zhenjie Sun, Paul Groth, H. V. Jagadish:
Observatory: Characterizing Embeddings of Relational Tables. Proc. VLDB Endow. 17(4): 849-862 (2023) - [c224]Tianji Cong, James Gale, Jason Frantz, H. V. Jagadish, Çagatay Demiralp:
WarpGate: A Semantic Join Discovery System for Cloud Data Warehouses. CIDR 2023 - [c223]Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish:
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. ICDE 2023: 1084-1097 - [c222]Jinyang Li, Yuval Moskovitch, H. V. Jagadish:
Detection of Groups with Biased Representation in Ranking. ICDE 2023: 2167-2179 - [c221]Yuval Moskovitch, Jinyang Li, H. V. Jagadish:
Dexer: Detecting and Explaining Biased Representation in Ranking. SIGMOD Conference Companion 2023: 159-162 - [c220]Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish:
Next-generation Challenges of Responsible Data Integration. WSDM 2023: 1256-1259 - [i42]Yuval Moskovitch, Jinyang Li, H. V. Jagadish:
Detection of Groups with Biased Representation in Ranking. CoRR abs/2301.00719 (2023) - [i41]Tianji Cong, Fatemeh Nargesian, H. V. Jagadish:
Pylon: Semantic Table Union Search in Data Lakes. CoRR abs/2301.04901 (2023) - [i40]Yin Lin, Bolin Ding, H. V. Jagadish, Jingren Zhou:
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions. CoRR abs/2309.07856 (2023) - [i39]Tianji Cong, Madelon Hulsebos, Zhenjie Sun, Paul Groth, H. V. Jagadish:
Observatory: Characterizing Embeddings of Relational Tables. CoRR abs/2310.07736 (2023) - 2022
- [j140]Julia Stoyanovich, Serge Abiteboul, Bill Howe, H. V. Jagadish, Sebastian Schelter:
Responsible data management. Commun. ACM 65(6): 64-74 (2022) - [j139]Yuval Moskovitch, H. V. Jagadish:
Reliability at multiple stages in a data analysis pipeline. Commun. ACM 65(11): 118-128 (2022) - [j138]Wolfgang Gatterbauer, Cody Dunne, H. V. Jagadish, Mirek Riedewald:
Principles of Query Visualization. IEEE Data Eng. Bull. 45(3): 47-67 (2022) - [j137]Jie Song, George Alter, H. V. Jagadish:
Structured data transformation algebra (SDTA) and its applications. Distributed Parallel Databases 40(2-3): 373-408 (2022) - [j136]H. V. Jagadish, Julia Stoyanovich, Bill Howe:
The Many Facets of Data Equity. ACM J. Data Inf. Qual. 14(4): 27:1-27:21 (2022) - [j135]Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo:
OREO: Detection of Cherry-picked Generalizations. Proc. VLDB Endow. 15(12): 3570-3573 (2022) - [j134]Abolfazl Asudeh, Gautam Das, H. V. Jagadish, Shangqi Lu, Azade Nazi, Yufei Tao, Nan Zhang, Jianwen Zhao:
On Finding Rank Regret Representatives. ACM Trans. Database Syst. 47(3): 10:1-10:37 (2022) - [c219]Farima Fatahi Bayat, Nikita Bhutani, H. V. Jagadish:
CompactIE: Compact Facts in Open Information Extraction. NAACL-HLT 2022: 900-910 - [c218]Yunhao Wang, Johanna Okerlund, H. V. Jagadish:
Bringing Ethics and Justice into CS1 Courses through Data that Shows an Incomplete Picture. SIGCSE (2) 2022: 1131 - [c217]Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish:
Responsible Data Integration: Next-generation Challenges. SIGMOD Conference 2022: 2458-2464 - [c216]Yuval Moskovitch, Jinyang Li, H. V. Jagadish:
Bias analysis and mitigation in data-driven tools using provenance. TaPP 2022: 1:1-1:4 - [e3]Julia Stoyanovich, Jens Teubner, Paolo Guagliardo, Milos Nikolic, Andreas Pieris, Jan Mühlig, Fatma Özcan, Sebastian Schelter, H. V. Jagadish, Meihui Zhang:
Proceedings of the 25th International Conference on Extending Database Technology, EDBT 2022, Edinburgh, UK, March 29 - April 1, 2022. OpenProceedings.org 2022, ISBN 978-3-89318-086-8 [contents] - [i38]Nima Shahbazi, Yin Lin, Abolfazl Asudeh, H. V. Jagadish:
A Survey on Techniques for Identifying and Resolving Representation Bias in Data. CoRR abs/2203.11852 (2022) - [i37]Farima Fatahi Bayat, Nikita Bhutani, H. V. Jagadish:
CompactIE: Compact Facts in Open Information Extraction. CoRR abs/2205.02880 (2022) - [i36]Wolfgang Gatterbauer, Cody Dunne, H. V. Jagadish, Mirek Riedewald:
Principles of Query Visualization. CoRR abs/2208.01613 (2022) - [i35]Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish:
Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. CoRR abs/2211.06793 (2022) - [i34]Tianji Cong, James Gale, Jason Frantz, H. V. Jagadish, Çagatay Demiralp:
WarpGate: A Semantic Join Discovery System for Cloud Data Warehouses. CoRR abs/2212.14155 (2022) - 2021
- [j133]Abolfazl Asudeh, You Wu, Cong Yu, H. V. Jagadish:
Perturbation-based Detection and Resolution of Cherry-picking. IEEE Data Eng. Bull. 44(3): 52-65 (2021) - [j132]H. V. Jagadish, Julia Stoyanovich, Bill Howe:
COVID-19 Brings Data Equity Challenges to the Fore. Digit. Gov. Res. Pract. 2(2): 24:1-24:7 (2021) - [j131]Fatemeh Nargesian, Abolfazl Asudeh, H. V. Jagadish:
Tailoring Data Source Distributions for Fairness-aware Data Integration. Proc. VLDB Endow. 14(11): 2519-2532 (2021) - [j130]Jinyang Li, Yuval Moskovitch, H. V. Jagadish:
DENOUNCER: Detection of Unfairness in Classifiers. Proc. VLDB Endow. 14(12): 2719-2722 (2021) - [j129]Yin Lin, Brit Youngmann, Yuval Moskovitch, H. V. Jagadish, Tova Milo:
On Detecting Cherry-picked Generalizations. Proc. VLDB Endow. 15(1): 59-71 (2021) - [j128]H. V. Jagadish:
What Becomes a Senior Researcher. SIGMOD Rec. 50(3): 20-22 (2021) - [j127]Yanyan Shen, Anh Dinh, H. V. Jagadish:
Introduction to the Special Issue on Data Science for Next Generation Big Data. Trans. Data Sci. 2(4): 31:1-31:2 (2021) - [c215]H. V. Jagadish, Julia Stoyanovich, Bill Howe:
The Many Facets of Data Equity. EDBT/ICDT Workshops 2021 - [c214]Yuval Moskovitch, H. V. Jagadish:
Patterns Count-Based Labels for Datasets. ICDE 2021: 1961-1966 - [c213]H. V. Jagadish:
Semantic Media Conversion: Possibilities and Limits. ACM Multimedia 2021: 2 - [c212]Abolfazl Asudeh, Nima Shahbazi, Zhongjun Jin, H. V. Jagadish:
Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes. SIGMOD Conference 2021: 129-141 - [c211]Shaofeng Cai, Kaiping Zheng, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang:
ARM-Net: Adaptive Relation Modeling Network for Structured Data. SIGMOD Conference 2021: 207-220 - [c210]Yipeng Zhang, Yuchen Li, Zhifeng Bao, Baihua Zheng, H. V. Jagadish:
Minimizing the Regret of an Influence Provider. SIGMOD Conference 2021: 2115-2127 - [c209]Jie Song, H. V. Jagadish, George Alter:
SDTA: An Algebra for Statistical Data Transformation. SSDBM 2021: 109-120 - [c208]George Alter, Jack Gager, Pascal Heus, Carson Hunter, Sanda Ionescu, Jeremy Iverson, H. V. Jagadish, Bertram Ludäscher, Jared Lyle, Timothy M. McPhillips, Alexander Mueller, Sigve Nordgaard, Ørnulf Risnes, Dan J. Smith, Jie Song, Thomas Thelen:
Detailed Provenance Metadata from Statistical Analysis Software: TaPP Applications Track. TaPP 2021 - [i33]Shaofeng Cai, Kaiping Zheng, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang:
ARM-Net: Adaptive Relation Modeling Network for Structured Data. CoRR abs/2107.01830 (2021) - 2020
- [j126]Abolfazl Asudeh, H. V. Jagadish, You Wu, Cong Yu:
On Detecting Cherry-picked Trendlines. Proc. VLDB Endow. 13(6): 939-952 (2020) - [j125]Yin Lin, Yifan Guan, Abolfazl Asudeh, H. V. Jagadish:
Identifying Insufficient Data Coverage in Databases with Multiple Relations. Proc. VLDB Endow. 13(11): 2229-2242 (2020) - [j124]Yuval Moskovitch, H. V. Jagadish:
COUNTATA: Dataset Labeling Using Pattern Counts. Proc. VLDB Endow. 13(12): 2829-2832 (2020) - [j123]Abolfazl Asudeh, H. V. Jagadish:
Fairly Evaluating and Scoring Items in a Data Set. Proc. VLDB Endow. 13(12): 3445-3448 (2020) - [j122]Julia Stoyanovich, Bill Howe, H. V. Jagadish:
Responsible Data Management. Proc. VLDB Endow. 13(12): 3474-3488 (2020) - [j121]Chen Jason Zhang, Lei Chen, H. V. Jagadish, Mengchen Zhang, Yongxin Tong:
Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates. IEEE Trans. Knowl. Data Eng. 32(1): 135-151 (2020) - [j120]Liangjun Song, Junhao Gan, Zhifeng Bao, Boyu Ruan, H. V. Jagadish, Timos Sellis:
Incremental preference adjustment: a graph-theoretical approach. VLDB J. 29(6): 1475-1500 (2020) - [c207]Christopher Baik, Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish:
Constructing Expressive Relational Queries with Dual-Specification Synthesis. CIDR 2020 - [c206]Aristotelis Leventidis, Jiahui Zhang, Cody Dunne, Wolfgang Gatterbauer, H. V. Jagadish, Mirek Riedewald:
QueryVis: Logic-based Diagrams help Users Understand Complicated SQL Queries Faster. SIGMOD Conference 2020: 2303-2318 - [c205]Christopher Baik, Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish:
Duoquest: A Dual-Specification System for Expressive SQL Queries. SIGMOD Conference 2020: 2319-2329 - [c204]Zhongjun Jin, Mengjing Xu, Chenkai Sun, Abolfazl Asudeh, H. V. Jagadish:
MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness. SIGMOD Conference 2020: 2721-2724 - [i32]Christopher Baik, Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish:
Duoquest: A Dual-Specification System for Expressive SQL Queries. CoRR abs/2003.07438 (2020) - [i31]Aristotelis Leventidis, Jiahui Zhang, Cody Dunne, Wolfgang Gatterbauer, H. V. Jagadish, Mirek Riedewald:
QueryVis: Logic-based diagrams help users understand complicated SQL queries faster. CoRR abs/2004.11375 (2020) - [i30]Yoko Nagafuchi, Yin Lin, Kaushal Mamgain, Abolfazl Asudeh, H. V. Jagadish, You Wu, Cong Yu:
MithraDetective: A System for Cherry-picked Trendlines Detection. CoRR abs/2010.08807 (2020) - [i29]Yuval Moskovitch, H. V. Jagadish:
Patterns Count-Based Labels for Datasets. CoRR abs/2010.16340 (2020)
2010 – 2019
- 2019
- [j119]Emery D. Berger, Stephen M. Blackburn, Carla E. Brodley, H. V. Jagadish, Kathryn S. McKinley, Mario A. Nascimento, Minjeong Shin, Kuansan Wang, Lexing Xie:
GOTO rankings considered helpful. Commun. ACM 62(7): 29-30 (2019) - [j118]Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich:
Towards Responsible Data-driven Decision Making in Score-Based Systems. IEEE Data Eng. Bull. 42(3): 76-87 (2019) - [j117]Giovanni Simonini, Luca Gagliardelli, Sonia Bergamaschi, H. V. Jagadish:
Scaling entity resolution: A loosely schema-aware approach. Inf. Syst. 83: 145-165 (2019) - [j116]H. V. Jagadish:
Technical Perspective: How Do Humans and Data Systems Establish a Common Query Language? SIGMOD Rec. 48(1): 50 (2019) - [j115]Wei Lu, Yanyan Shen, Tongtong Wang, Meihui Zhang, H. V. Jagadish, Xiaoyong Du:
Fast Failure Recovery in Vertex-Centric Distributed Graph Processing Systems. IEEE Trans. Knowl. Data Eng. 31(4): 733-746 (2019) - [c203]Zhongjun Jin, Christopher Baik, Michael J. Cafarella, H. V. Jagadish, Yuze Lou:
Demonstration of a Multiresolution Schema Mapping System. CIDR 2019 - [c202]Nikita Bhutani, H. V. Jagadish:
Online Schemaless Querying of Heterogeneous Open Knowledge Bases. CIKM 2019: 699-708 - [c201]Nikita Bhutani, Xinyi Zheng, H. V. Jagadish:
Learning to Answer Complex Questions over Knowledge Bases with Query Composition. CIKM 2019: 739-748 - [c200]Chenkai Sun, Abolfazl Asudeh, H. V. Jagadish, Bill Howe, Julia Stoyanovich:
MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data Science. CIKM 2019: 2893-2896 - [c199]Zhongjun Jin, Michael J. Cafarella, H. V. Jagadish, Sean Kandel, Michael Minar, Joseph M. Hellerstein:
CLX: Towards verifiable PBE data transformation. EDBT 2019: 265-276 - [c198]Yueji Yang, Divyakant Agrawal, H. V. Jagadish, Anthony K. H. Tung, Shuang Wu:
An Efficient Parallel Keyword Search Engine on Knowledge Graphs. ICDE 2019: 338-349 - [c197]Christopher Baik, H. V. Jagadish, Yunyao Li:
Bridging the Semantic Gap with SQL Query Logs in Natural Language Interfaces to Databases. ICDE 2019: 374-385 - [c196]Abolfazl Asudeh, Zhongjun Jin, H. V. Jagadish:
Assessing and Remedying Coverage for a Given Dataset. ICDE 2019: 554-565 - [c195]Yongxin Tong, Lei Chen, Zimu Zhou, H. V. Jagadish, Lidan Shou, Weifeng Lv:
SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing. ICDE 2019: 2133-2134 - [c194]Nikita Bhutani, Yoshihiko Suhara, Wang-Chiew Tan, Alon Y. Halevy, H. V. Jagadish:
Open Information Extraction from Question-Answer Pairs. NAACL-HLT (1) 2019: 2294-2305 - [c193]Abolfazl Asudeh, Azade Nazi, Nan Zhang, Gautam Das, H. V. Jagadish:
RRR: Rank-Regret Representative. SIGMOD Conference 2019: 263-280 - [c192]H. V. Jagadish, Francesco Bonchi, Tina Eliassi-Rad, Lise Getoor, Krishna P. Gummadi, Julia Stoyanovich:
The Responsibility Challenge for Data. SIGMOD Conference 2019: 412-414 - [c191]Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich, Gautam Das:
Designing Fair Ranking Schemes. SIGMOD Conference 2019: 1259-1276 - [c190]Yifan Guan, Abolfazl Asudeh, Pranav Mayuram, H. V. Jagadish, Julia Stoyanovich, Gerome Miklau, Gautam Das:
MithraRanking: A System for Responsible Ranking Design. SIGMOD Conference 2019: 1913-1916 - [c189]Jie Song, George Alter, H. V. Jagadish:
C2Metadata: Automating the Capture of Data Transformations from Statistical Scripts in Data Documentation. SIGMOD Conference 2019: 2005-2008 - [c188]H. V. Jagadish:
Responsible Data Science. WSDM 2019: 2 - [i28]Christopher Baik, H. V. Jagadish, Yunyao Li:
Bridging the Semantic Gap with SQL Query Logs in Natural Language Interfaces to Databases. CoRR abs/1902.00031 (2019) - [i27]Nikita Bhutani, Yoshihiko Suhara, Wang-Chiew Tan, Alon Y. Halevy, H. V. Jagadish:
Open Information Extraction from Question-Answer Pairs. CoRR abs/1903.00172 (2019) - [i26]Wei Wang, Meihui Zhang, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Kian-Lee Tan:
Database Meets Deep Learning: Challenges and Opportunities. CoRR abs/1906.08986 (2019) - [i25]Abolfazl Asudeh, H. V. Jagadish:
Responsible Scoring Mechanisms Through Function Sampling. CoRR abs/1911.10073 (2019) - 2018
- [j114]Bernardo Gonçalves, H. V. Jagadish:
Bsmooth: Learning from user feedback to disambiguate query terms in interactive data retrieval. Int. J. Approx. Reason. 101: 10-30 (2018) - [j113]Qingchao Cai, Zhongle Xie, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang:
Effective Temporal Dependence Discovery in Time Series Data. Proc. VLDB Endow. 11(8): 893-905 (2018) - [j112]Julia Stoyanovich, Bill Howe, H. V. Jagadish, Gerome Miklau:
Panel: A Debate on Data and Algorithmic Ethics. Proc. VLDB Endow. 11(12): 2165-2167 (2018) - [j111]Abolfazl Asudeh, H. V. Jagadish, Gerome Miklau, Julia Stoyanovich:
On Obtaining Stable Rankings. Proc. VLDB Endow. 12(3): 237-250 (2018) - [j110]Lisa Singh, Amol Deshpande, Wenchao Zhou, Arindam Banerjee, Alex J. Bowers, Sorelle A. Friedler, H. V. Jagadish, George Karypis, Zoran Obradovic, Anil Vullikanti, Wangda Zuo:
NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets. SIGMOD Rec. 47(3): 32-35 (2018) - [j109]Yongxin Tong, Lei Chen, Zimu Zhou, H. V. Jagadish, Lidan Shou, Weifeng Lv:
SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing. IEEE Trans. Knowl. Data Eng. 30(8): 1588-1601 (2018) - [c187]Nikita Bhutani, Kun Qian, Yunyao Li, H. V. Jagadish, Mauricio A. Hernández, Mitesh Vasa:
Exploiting Structure in Representation of Named Entities using Active Learning. COLING 2018: 687-699 - [c186]Julia Stoyanovich, Ke Yang, H. V. Jagadish:
Online Set Selection with Fairness and Diversity Constraints. EDBT 2018: 241-252 - [c185]Jie Song, Danai Koutra, Murali Mani, H. V. Jagadish:
GeoAlign: Interpolating Aggregates over Unaligned Partitions. EDBT 2018: 361-372 - [c184]Jingbo Zhou, Qi Guo, H. V. Jagadish, Lubos Krcál, Siyuan Liu, Wenhao Luan, Anthony K. H. Tung, Yueji Yang, Yuxin Zheng:
A Generic Inverted Index Framework for Similarity Search on the GPU. ICDE 2018: 893-904 - [c183]