Artificial Intelligence and Complex Systems (AICS)

Publications

2025

• Cole Gawin, Yidan Sun, Mayank Kejriwal.
  Navigating Semantic Relations: Challenges for Language Models in Abstract Common-Sense Reasoning.
  CoRR, abs/2502.14086, 2025.
  DOI Link

2024

• Navapat Nananukul, Khanin Sisaengsuwanchai, Mayank Kejriwal.
  Cost-efficient prompt engineering for unsupervised entity resolution in the product matching domain.
  Discov. Artif. Intell., 4(1):56, 2024.
  DOI Link
• Henrique Santos, Ke Shen, Alice Mulvehill, Mayank Kejriwal, Deborah McGuinness.
  A Theoretically Grounded Question Answering Data Set for Evaluating Machine Common Sense.
  Data Intell., 6(1):1--28, 2024.
  DOI Link
• Mayank Kejriwal, Eric Kildebeck, Robert Steininger, Abhinav Shrivastava.
  Challenges, evaluation and opportunities for open-world learning.
  Nat. Mac. Intell., 6(6):580--588, 2024.
  DOI Link
• Mayank Kejriwal, Victoria Petryshyn.
  Advancing computational sustainability in higher education.
  Nat. Comput. Sci., 4(6):382--383, 2024.
  DOI Link
• Adin Aberbach, Mayank Kejriwal, Ke Shen.
  Multipartite Entity Resolution: Motivating a K-Tuple Perspective (Student Abstract).
  Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, :23434--23435, 2024.
  DOI Link
• Xiyao Cheng, Lakshmi Edara, Yuanxun Zhang, Mayank Kejriwal, Prasad Calyam.
  Influence Role Recognition and LLM-Based Scholar Recommendation in Academic Social Networks.
  11th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2024, San Diego, CA, USA, October 6-10, 2024, :1--11, 2024.
  DOI Link
• Mayank Kejriwal.
  Designing Social Good Semantic Computing Architectures for the Long Tail: Case Studies, Evaluation, and Challenges.
  18th IEEE International Conference on Semantic Computing, ICSC 2024, Laguna Hills, CA, USA, February 5-7, 2024, :253--260, 2024.
  DOI Link
• Mayank Kejriwal, Hamid Haidarian, Min-Hsueh Chiu, Andy Xiang, Deep Shrestha, Faizan Javed.
  A Semantic Search Engine for Helping Patients Find Doctors and Locations in a Large Healthcare Organization.
  Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024, :2945--2949, 2024.
  DOI Link
• Unknown.
  Joint proceedings of the 3rd International workshop on knowledge graph generation from text (TEXT2KG) and Data Quality meets Machine Learning and Knowledge Graphs (DQMLKG) co-located with the Extended Semantic Web Conference ( ESWC 2024), Hersonissos, Greece, May 26-30, 2024.
  CEUR Workshop Proceedings, 3747, 2024.
  Link
• Zhisheng Tang, Ke Shen, Mayank Kejriwal.
  An Evaluation of Estimative Uncertainty in Large Language Models.
  CoRR, abs/2405.15185, 2024.
  DOI Link
• Yongyi Ji, Zhisheng Tang, Mayank Kejriwal.
  Is persona enough for personality? Using ChatGPT to reconstruct an agent's latent personality from simple descriptions.
  CoRR, abs/2406.12216, 2024.
  DOI Link
• Zhisheng Tang, Mayank Kejriwal.
  GRASP: A Grid-Based Benchmark for Evaluating Commonsense Spatial Reasoning.
  CoRR, abs/2407.01892, 2024.
  DOI Link
• Ke Shen, Mayank Kejriwal.
  Defining and Evaluating Decision and Composite Risk in Language Models Applied to Natural Language Inference.
  CoRR, abs/2408.01935, 2024.
  DOI Link
• Ke Shen, Mayank Kejriwal.
  SelECT-SQL: Self-correcting ensemble Chain-of-Thought for Text-to-SQL.
  CoRR, abs/2409.10007, 2024.
  DOI Link
• Zhisheng Tang, Mayank Kejriwal.
  Humanlike Cognitive Patterns as Emergent Phenomena in Large Language Models.
  CoRR, abs/2412.15501, 2024.
  DOI Link
• Bruce Deng, Mayank Kejriwal.
  Modeling and Simulating Agent-Based City Migration Using Conway's Game of Life.
  CoRR, abs/2412.20691, 2024.
  DOI Link

2023

• Mayank Kejriwal.
  Artificial Intelligence for Industries of the Future - Beyond Facebook, Amazon, Microsoft and Google.
  2023.
  DOI Link
• Zhisheng Tang, Mayank Kejriwal.
  Evaluating deep generative models on cognitive tasks: a case study.
  Discov. Artif. Intell., 3(1), 2023.
  DOI Link
• Ke Shen, Mayank Kejriwal.
  An experimental study measuring the generalization of fine-tuned language representation models across commonsense reasoning benchmarks.
  Expert Syst. J. Knowl. Eng., 40(5), 2023.
  DOI Link
• Mayank Kejriwal, Henrique Santos, Ke Shen, Alice Mulvehill, Deborah McGuinness.
  Context-Rich Evaluation of Machine Common Sense.
  Artificial General Intelligence - 16th International Conference, AGI 2023, Stockholm, Sweden, June 16-19, 2023, Proceedings, 13921:167--176, 2023.
  DOI Link
• Zhisheng Tang, Mayank Kejriwal.
  Can Language Models Be Used in Multistep Commonsense Planning Domains?.
  Artificial General Intelligence - 16th International Conference, AGI 2023, Stockholm, Sweden, June 16-19, 2023, Proceedings, 13921:276--285, 2023.
  DOI Link
• Prasad Calyam, Mayank Kejriwal, Praveen Rao, Jianlin Cheng, Weichao Wang, Linquan Bai, V. Nadendla, Sanjay Madria, Sajal Das, Rohit Chadha, Khaza Hoque, Kannappan Palaniappan, Kiran Neupane, Roshan Neupane, Sankeerth Gandhari, Mukesh Singhal, Lotfi Othmane, Meng Yu, Vijay Anand, Bharat Bhargava, Brett Robertson, Kerk Kee, Patrice Buzzanell, Natalie Bolton, Harsh Taneja.
  Towards a Domain-Agnostic Knowledge Graph-as-a-Service Infrastructure for Active Cyber Defense with Intelligent Agents.
  52nd IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2023, St. Louis, MO, USA, September 27-29, 2023, :1--8, 2023.
  DOI Link
• Yidan Sun, Mayank Kejriwal.
  DeepGraph: Multi-Cluster Interactive Visualization of Complex Networks in a Learned Representation Space.
  Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2023, Kusadasi, Turkey, November 6-9, 2023, :427--430, 2023.
  DOI Link
• Yidan Sun, Mayank Kejriwal.
  A structural study of Big Tech firm-switching of inventors in the post-recession era.
  Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2023, Kusadasi, Turkey, November 6-9, 2023, :670--677, 2023.
  DOI Link
• Ke Shen, Mayank Kejriwal.
  An Analytical Approximation of Simplicial Complex Distributions in Communication Networks.
  Complex Networks & Their Applications XII - Proceedings of The Twelfth International Conference on Complex Networks and their Applications: COMPLEX NETWORKS 2023, Menton, France, 28-30 November, 2023, Volume 4, 1144:16--26, 2023.
  DOI Link
• Min-Hsueh Chiu, Mayank Kejriwal.
  A Model and Structural Analysis of Networked Bitcoin Transaction Flows.
  Complex Networks & Their Applications XII - Proceedings of The Twelfth International Conference on Complex Networks and their Applications: COMPLEX NETWORKS 2023, Menton, France, 28-30 November, 2023, Volume 3, 1143:456--467, 2023.
  DOI Link
• Xiyao Cheng, Yuanxun Zhang, Harsh Joshi, Mayank Kejriwal, Prasad Calyam.
  Knowledge Graph-based Embedding for Connecting Scholars in Academic Social Networks.
  10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023, Thessaloniki, Greece, October 9-13, 2023, :1--10, 2023.
  DOI Link
• Ke Shen, Mayank Kejriwal.
  Substructure Discovery in Commonsense Relations Using Graph Representation Learning.
  Intelligent Systems and Applications - Proceedings of the 2023 Intelligent Systems Conference, IntelliSys 2024, Amsterdam, The Netherlands, September 7-8, 2023, Volume 1, 822:714--734, 2023.
  DOI Link
• Xinyu Liu, Tiancheng Sun, Diantian Fu, Zijue Li, Sheng Qian, Ruyue Meng, Mayank Kejriwal.
  Automatic Semantic Typing of Pet E-commerce Products Using Crowdsourced Reviews: An Experimental Study.
  Knowledge Graphs and Semantic Web - 5th Iberoamerican Conference and 4th Indo-American Conference, KGSWC 2023, Zaragoza, Spain, November 13-15, 2023, Proceedings, 14382:151--167, 2023.
  DOI Link
• Unknown.
  Joint Proceedings of the Second International Workshop on Knowledge Graph Generation From Text and the First International BiKE Challenge co-located with 20th Extended Semantic Conference (ESWC 2023), Hersonissos, Greece, May 29th, 2023.
  CEUR Workshop Proceedings, 3447, 2023.
  Link
• Henrique Santos, Alice Mulvehill, Ke Shen, Mayank Kejriwal, Deborah McGuinness.
  TG-CSR Annotations (Version 1.0).
  2023.
  DOI Link
• Henrique Santos, Ke Shen, Alice Mulvehill, Mayank Kejriwal, Deborah McGuinness.
  TG-CSR: Theoretically-Grounded Commonsense Reasoning Benchmark (Version 1.0).
  2023.
  DOI Link
• Henrique Santos, Ke Shen, Alice Mulvehill, Mayank Kejriwal, Deborah McGuinness.
  TG-CSR: Theoretically-Grounded Commonsense Reasoning Benchmark (Version 1.1).
  2023.
  DOI Link
• Henrique Santos, Ke Shen, Alice Mulvehill, Mayank Kejriwal, Deborah McGuinness.
  TG-CSR: Theoretically-Grounded Commonsense Reasoning Benchmark (Version 1.2).
  2023.
  DOI Link
• Zhisheng Tang, Mayank Kejriwal.
  A Pilot Evaluation of ChatGPT and DALL-E 2 on Decision Making and Spatial Reasoning.
  CoRR, abs/2302.09068, 2023.
  DOI Link
• Katarina Doctor, Christine Task, Eric Kildebeck, Mayank Kejriwal, Lawrence Holder, Russell Leong.
  Toward Defining a Domain Complexity Measure Across Domains.
  CoRR, abs/2303.04141, 2023.
  DOI Link
• Yidan Sun, Mayank Kejriwal.
  A structural study of Big Tech firm-switching of inventors in the post-recession era.
  CoRR, abs/2307.07920, 2023.
  DOI Link
• Mayank Kejriwal.
  Named Entity Resolution in Personal Knowledge Graphs.
  CoRR, abs/2307.12173, 2023.
  DOI Link
• Ke Shen, Mayank Kejriwal.
  A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence Scores.
  CoRR, abs/2310.03283, 2023.
  DOI Link
• Mayank Kejriwal, Hamid Haidarian, Min-Hsueh Chiu, Andy Xiang, Deep Shrestha, Faizan Javed.
  A Knowledge Graph-Based Search Engine for Robustly Finding Doctors and Locations in the Healthcare Domain.
  CoRR, abs/2310.05258, 2023.
  DOI Link
• Khanin Sisaengsuwanchai, Navapat Nananukul, Mayank Kejriwal.
  How does prompt engineering affect ChatGPT performance on unsupervised entity resolution?.
  CoRR, abs/2310.06174, 2023.
  DOI Link
• Navapat Nananukul, Mayank Kejriwal.
  HALO: An Ontology for Representing Hallucinations in Generative Models.
  CoRR, abs/2312.05209, 2023.
  DOI Link
• Katarina Doctor, Mayank Kejriwal, Lawrence Holder, Eric Kildebeck, Emma Resmini, Christopher Pereyda, Robert Steininger, Daniel Olivença.
  Understanding and Estimating Domain Complexity Across Domains.
  CoRR, abs/2312.13487, 2023.
  DOI Link

2022

• Mayank Kejriwal, Ke Shen, Chien-Chun Ni, Nicolas Torzec.
  Transfer-based taxonomy induction over concept labels.
  Eng. Appl. Artif. Intell., 108:104548, 2022.
  DOI Link
• Mayank Kejriwal.
  Knowledge Graphs: A Practical Review of the Research Landscape.
  Inf., 13(4):161, 2022.
  DOI Link
• Minda Hu, Mayank Kejriwal.
  Measuring spatio-textual affinities in twitter between two urban metropolises.
  J. Comput. Soc. Sci., 5(1):227--252, 2022.
  DOI Link
• Mayank Kejriwal, Henrique Santos, Alice Mulvehill, Deborah McGuinness.
  Designing a strong test for measuring true common-sense reasoning.
  Nat. Mach. Intell., 4(4):318--322, 2022.
  DOI Link
• Mayank Kejriwal, Pedro Szekely.
  Knowledge Graphs for Social Good: An Entity-Centric Search Engine for the Human Trafficking Domain.
  IEEE Trans. Big Data, 8(3):592--606, 2022.
  DOI Link
• Trevor Bonjour, Marina Haliem, Aala Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Mayank Kejriwal, Bharat Bhargava.
  Decision Making in Monopoly Using a Hybrid Deep Reinforcement Learning Approach.
  IEEE Trans. Emerg. Top. Comput. Intell., 6(6):1335--1344, 2022.
  DOI Link
• Mayank Kejriwal, Zhisheng Tang.
  Evaluating Language Representation Models on Approximately Rational Decision Making Problems.
  Proceedings of the 44th Annual Meeting of the Cognitive Science Society, CogSci 2022, Toronto, ON, Canada, July 27-30, 2022, 2022.
  Link
• Mayank Kejriwal, Yuesheng Luo.
  On the Empirical Association Between Trade Network Complexity and Global Gross Domestic Product.
  Complex Networks and Their Applications XI - Proceedings of The Eleventh International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022, Palermo, Italy, 8-10 November, 2022, Volume 1, 1077:456--466, 2022.
  DOI Link
• Yuesheng Luo, Mayank Kejriwal.
  Understanding COVID-19 Vaccine Reaction Through Comparative Analysis on Twitter.
  Intelligent Computing - Proceedings of the 2022 Computing Conference, Volume 1, SAI 2022, Virtual Event, 14-15 July 2022, 506:846--864, 2022.
  DOI Link
• Unknown.
  Proceedings of the 1st International Workshop on Knowledge Graph Generation From Text and the 1st International Workshop on Modular Knowledge co-located with 19th Extended Semantic Conference (ESWC 2022), Hersonissos, Greece, May 30th, 2022.
  CEUR Workshop Proceedings, 3184, 2022.
  Link
• Mayank Kejriwal, Ke Shen.
  Can Scale-free Network Growth with Triad Formation Capture Simplicial Complex Distributions in Real Communication Networks?.
  CoRR, abs/2203.06491, 2022.
  DOI Link
• Henrique Santos, Ke Shen, Alice Mulvehill, Yasaman Razeghi, Deborah McGuinness, Mayank Kejriwal.
  A Theoretically Grounded Benchmark for Evaluating Machine Commonsense.
  CoRR, abs/2203.12184, 2022.
  DOI Link
• Akarsh Nagaraj, Mayank Kejriwal.
  Robust Quantification of Gender Disparity in Pre-Modern English Literature using Natural Language Processing.
  CoRR, abs/2204.05872, 2022.
  DOI Link
• Ke Shen, Mayank Kejriwal.
  Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes.
  CoRR, abs/2210.01258, 2022.
  DOI Link
• Ke Shen, Mayank Kejriwal.
  Understanding Substructures in Commonsense Relations in ConceptNet.
  CoRR, abs/2210.01263, 2022.
  DOI Link
• Zhisheng Tang, Mayank Kejriwal.
  Can Language Representation Models Think in Bets?.
  CoRR, abs/2210.07519, 2022.
  DOI Link
• Mayank Kejriwal, Yuesheng Luo.
  On the Empirical Association between Trade Network Complexity and Global Gross Domestic Product.
  CoRR, abs/2211.13117, 2022.
  DOI Link

2021

• Mayank Kejriwal, Ke Shen, Chien-Chun Ni, Nicolas Torzec.
  An evaluation and annotation methodology for product category matching in e-commerce.
  Comput. Ind., 131:103497, 2021.
  DOI Link
• Sara Melotte, Mayank Kejriwal.
  A Geo-Tagged COVID-19 Twitter Dataset for 10 North American Metropolitan Areas over a 255-Day Period.
  Data, 6(6):64, 2021.
  DOI Link
• Mayank Kejriwal.
  Link Prediction Between Structured Geopolitical Events: Models and Experiments.
  Frontiers Big Data, 4:779792, 2021.
  DOI Link
• Minda Hu, Ashwin Rao, Mayank Kejriwal, Kristina Lerman.
  Socioeconomic Correlates of Anti-Science Attitudes in the US.
  Future Internet, 13(6):160, 2021.
  DOI Link
• Mayank Kejriwal.
  Unsupervised DNF Blocking for Efficient Linking of Knowledge Graphs and Tables.
  Inf., 12(3):134, 2021.
  DOI Link
• Mayank Kejriwal, Qile Wang, Hongyu Li, Lu Wang.
  An empirical study of emoji usage on Twitter in linguistic and national contexts.
  Online Soc. Networks Media, 24:100149, 2021.
  DOI Link
• Mayank Kejriwal.
  A meta-engine for building domain-specific search engines.
  Softw. Impacts, 7:100052, 2021.
  DOI Link
• Mayank Kejriwal, Shilpa Thomas.
  A multi-agent simulator for generating novelty in monopoly.
  Simul. Model. Pract. Theory, 112:102364, 2021.
  DOI Link
• Mayank Kejriwal, Ravi Selvam, Chien-Chun Ni, Nicolas Torzec.
  Empirical Best Practices On Using Product-Specific Schema.org.
  Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, :15452--15457, 2021.
  DOI Link
• Mayank Kejriwal, Ke Shen.
  Unsupervised real-time induction and interactive visualization of taxonomies over domain-specific concepts.
  ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8 - 11, 2021, :301--304, 2021.
  DOI Link
• Ke Shen, Mayank Kejriwal.
  On the Generalization Abilities of Fine-Tuned Commonsense Language Representation Models.
  Artificial Intelligence XXXVIII - 41st SGAI International Conference on Artificial Intelligence, AI 2021, Cambridge, UK, December 14-16, 2021, Proceedings, 13101:3--16, 2021.
  DOI Link
• Mayank Kejriwal, Ge Fang, Ying Zhou.
  A Feasibility Study of Open-Source Sentiment Analysis and Text Classification Systems on Disaster-Specific Social Media Data.
  IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021, :1--8, 2021.
  DOI Link
• Marina Haliem, Trevor Bonjour, Aala Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Bharat Bhargava, Mayank Kejriwal.
  Learning Monopoly Gameplay: A Hybrid Model-Free Deep Reinforcement Learning and Imitation Learning Approach.
  CoRR, abs/2103.00683, 2021.
  Link
• Sara Melotte, Mayank Kejriwal.
  Predicting Zip Code-Level Vaccine Hesitancy in US Metropolitan Areas Using Machine Learning Models on Public Tweets.
  CoRR, abs/2108.01699, 2021.
  Link
• Yuesheng Luo, Mayank Kejriwal.
  Understanding COVID-19 Vaccine Reaction through Comparative Analysis on Twitter.
  CoRR, abs/2111.05823, 2021.
  Link

2020

• Mayank Kejriwal, Yao Gu.
  Network-theoretic modeling of complex activity using UK online sex advertisements.
  Appl. Netw. Sci., 5(1):30, 2020.
  DOI Link
• Mayank Kejriwal, Akarsh Dang.
  Structural studies of the global networks exposed in the Panama papers.
  Appl. Netw. Sci., 5(1):63, 2020.
  DOI Link
• Mayank Kejriwal, Peilin Zhou.
  On detecting urgency in short crisis messages using minimal supervision and transfer learning.
  Soc. Netw. Anal. Min., 10(1):58, 2020.
  DOI Link
• Mayank Kejriwal, Ravi Selvam, Chien-Chun Ni, Nicolas Torzec.
  Locally Constructing Product Taxonomies from Scratch Using Representation Learning.
  IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020, The Hague, Netherlands, December 7-10, 2020, :507--514, 2020.
  DOI Link
• Ravi Selvam, Mayank Kejriwal.
  On using Product-Specific Schema.org from Web Data Commons: An Empirical Set of Best Practices.
  CoRR, abs/2007.13829, 2020.
  Link
• Jiayuan Ding, Mayank Kejriwal.
  An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction.
  CoRR, abs/2007.15066, 2020.
  Link
• Mayank Kejriwal, Ke Shen.
  Do Fine-tuned Commonsense Language Models Really Generalize?.
  CoRR, abs/2011.09159, 2020.
  Link
• Ke Shen, Mayank Kejriwal.
  A Data-Driven Study of Commonsense Knowledge using the ConceptNet Knowledge Base.
  CoRR, abs/2011.14084, 2020.
  Link

2019

• Mayank Kejriwal.
  Domain-Specific Knowledge Graph Construction.
  Springer Briefs in Computer Science, 2019.
  DOI Link
• Mayank Kejriwal, Rahul Kapoor.
  Network-theoretic information extraction quality assessment in the human trafficking domain.
  Appl. Netw. Sci., 4(1):44:1--44:26, 2019.
  DOI Link
• Mayank Kejriwal, Pedro Szekely.
  myDIG: Personalized Illicit Domain-Specific Knowledge Discovery with No Programming.
  Future Internet, 11(3):59, 2019.
  DOI Link
• Mayank Kejriwal, Juan Sequeda, Vanessa L\'{o}pez.
  Knowledge graphs: Construction, management and querying.
  Semantic Web, 10(6):961--962, 2019.
  DOI Link
• Mayank Kejriwal, Peilin Zhou.
  Low-supervision urgency detection and transfer in short crisis messages.
  ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, Vancouver, British Columbia, Canada, 27-30 August, 2019, :353--356, 2019.
  DOI Link
• Shuo Zhang, Mayank Kejriwal.
  Concept drift in bias and sensationalism detection: an experimental study.
  ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, Vancouver, British Columbia, Canada, 27-30 August, 2019, :601--604, 2019.
  DOI Link
• Mayank Kejriwal, Peilin Zhou.
  SAVIZ: interactive exploration and visualization of situation labeling classifiers over crisis social media data.
  ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, Vancouver, British Columbia, Canada, 27-30 August, 2019, :705--708, 2019.
  DOI Link
• Mayank Kejriwal, Pedro Szekely.
  Co-LOD: Continuous Space Linked Open Data.
  Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 26-30, 2019, 2456:333--337, 2019.
  Link
• Mozhdeh Gheini, Mayank Kejriwal.
  Unsupervised Product Entity Resolution using Graph Representation Learning.
  Proceedings of the SIGIR 2019 Workshop on eCommerce, co-located with the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, eCom@SIGIR 2019, Paris, France, July 25, 2019, 2410, 2019.
  Link
• Mayank Kejriwal, Runqi Shao, Pedro Szekely.
  Expert-Guided Entity Extraction using Expressive Rules.
  Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019, :1353--1356, 2019.
  DOI Link
• Unknown.
  Proceedings of the 10th International Conference on Knowledge Capture, K-CAP 2019, Marina Del Rey, CA, USA, November 19-21, 2019.
  2019.
  DOI Link
• Mayank Kejriwal, Peilin Zhou.
  Low-supervision urgency detection and transfer in short crisis messages.
  CoRR, abs/1907.06745, 2019.
  Link

2018

• Daye Nam, Mayank Kejriwal.
  How Do Organizations Publish Semantic Markup? Three Case Studies Using Public Schema.org Crawls.
  Computer, 51(6):42--51, 2018.
  DOI Link
• Mayank Kejriwal, Pedro Szekely, Craig Knoblock.
  Investigative Knowledge Discovery for Combating Illicit Activities.
  IEEE Intell. Syst., 33(1):53--63, 2018.
  DOI Link
• Mayank Kejriwal, Pedro Szekely.
  Constructing Domain-Specific Search Engines With No Programming.
  Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, :8204--8205, 2018.
  DOI Link
• Kyle Hundman, Thamme Gowda, Mayank Kejriwal, Benedikt Boecking.
  Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection.
  Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, AIES 2018, New Orleans, LA, USA, February 02-03, 2018, :137--143, 2018.
  DOI Link
• Mayank Kejriwal, Pedro Szekely.
  Technology-assisted Investigative Search: A Case Study from an Illicit Domain.
  Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018, Montreal, QC, Canada, April 21-26, 2018, 2018.
  DOI Link
• Mayank Kejriwal, Jing Peng, Haotian Zhang, Pedro Szekely.
  Structured Event Entity Resolution in Humanitarian Domains.
  The Semantic Web - ISWC 2018 - 17th International Semantic Web Conference, Monterey, CA, USA, October 8-12, 2018, Proceedings, Part I, 11136:233--249, 2018.
  DOI Link
• Mayank Kejriwal, Daniel Gilley, Pedro Szekely, Jill Crisman.
  THOR: Text-enabled Analytics for Humanitarian Operations.
  Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018, :147--150, 2018.
  DOI Link
• Pedro Szekely, Mayank Kejriwal.
  Domain-specific Insight Graphs (DIG).
  Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018, :433--434, 2018.
  DOI Link
• Jie Tang, Michalis Vazirgiannis, Yuxiao Dong, Fragkiskos Malliaros, Michael Cochez, Mayank Kejriwal, Achim Rettinger.
  BigNet 2018 Chairs' Welcome & Organization.
  Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018, :943--944, 2018.
  DOI Link
• Unknown.
  Proceedings of the First Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies (DL4KGS) co-located with the 15th Extended Semantic Web Conerence (ESWC 2018), Heraklion, Crete, Greece, June 4, 2018.
  CEUR Workshop Proceedings, 2106, 2018.
  Link
• Tongtao Zhang, Ananya Subburathinam, Ge Shi, Lifu Huang, Di Lu, Xiaoman Pan, Manling Li, Boliang Zhang, Qingyun Wang, Spencer Whitehead, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Ruiqi Zhong, Steven Shao, Emily Allaway, Shih-Fu Chang, Kathleen McKeown, Dongyu Li, Xin Huang, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Mayank Kejriwal, Ram Nevatia, Pedro Szekely, T. Kumar, Ali Sadeghian, Giacomo Bergami, Sourav Dutta, Miguel Rodr\'{\i}guez, Daisy Wang.
  GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System.
  Proceedings of the 2018 Text Analysis Conference, TAC 2018, Gaithersburg, Maryland, USA, November 13-14, 2018, 2018.
  Link
• Mayank Kejriwal, Yao Gu.
  A Pipeline for Post-Crisis Twitter Data Acquisition.
  CoRR, abs/1801.05881, 2018.
  Link
• Yao Gu, Mayank Kejriwal.
  Unsupervised Hashtag Retrieval and Visualization for Crisis Informatics.
  CoRR, abs/1801.05906, 2018.
  Link

2017

• Mayank Kejriwal.
  Populating a Linked Data Entity Name System - A Big Data Solution to Unsupervised Instance Matching.
  Studies on the Semantic Web, 27, 2017.
  DOI Link
• Mayank Kejriwal.
  Populating a linked data entity name system.
  AI Matters, 3(2):22--23, 2017.
  DOI Link
• Mayank Kejriwal, Pedro Szekely.
  Scalable Generation of Type Embeddings Using the ABox.
  Open J. Semantic Web, 4(1):20--34, 2017.
  Link
• Mayank Kejriwal, Pedro Szekely.
  Neural Embeddings for Populated Geonames Locations.
  The Semantic Web - ISWC 2017 - 16th International Semantic Web Conference, Vienna, Austria, October 21-25, 2017, Proceedings, Part II, 10588:139--146, 2017.
  DOI Link
• Mayank Kejriwal, Pedro Szekely.
  An Investigative Search Engine for the Human Trafficking Domain.
  The Semantic Web - ISWC 2017 - 16th International Semantic Web Conference, Vienna, Austria, October 21-25, 2017, Proceedings, Part II, 10588:247--262, 2017.
  DOI Link
• Mayank Kejriwal, Thomas Schellenberg, Pedro Szekely.
  A Semantic Search Engine For Investigating Human Trafficking.
  Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to - 25th, 2017, 1963, 2017.
  Link
• Rahul Kapoor, Mayank Kejriwal, Pedro Szekely.
  Using contexts and constraints for improved geotagging of human trafficking webpages.
  Proceedings of the Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data, Chicago, IL, USA, May 14, 2017, :3:1--3:6, 2017.
  DOI Link
• Mayank Kejriwal, Pedro Szekely.
  Supervised typing of big graphs using semantic embeddings.
  Proceedings of The International Workshop on Semantic Big Data, SBD@SIGMOD 2017, Chicago, IL, USA, May 19, 2017, :3:1--3:6, 2017.
  DOI Link
• Mayank Kejriwal.
  Predicting Role Relevance with Minimal Domain Expertise in a Financial Domain.
  Proceedings of the 3rd International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, DSMM@SIGMOD 2017, Chicago, IL, USA, May 14, 2017, :10:1--10:2, 2017.
  DOI Link
• Mayank Kejriwal, Pedro Szekely.
  Information Extraction in Illicit Web Domains.
  Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017, :997--1006, 2017.
  DOI Link
• Unknown.
  Joint Proceedings of the International Workshops on Hybrid Statistical Semantic Understanding and Emerging Semantics, and Semantic Statistics co-located with 16th International Semantic Web Conference, HybridSemStats@ISWC 2017, Vienna, Austria October 22nd, 2017.
  CEUR Workshop Proceedings, 2017.
  Link
• Mayank Kejriwal, Pedro Szekely.
  Information Extraction in Illicit Domains.
  CoRR, abs/1703.03097, 2017.
  Link
• Mayank Kejriwal, Pedro Szekely.
  Supervised Typing of Big Graphs using Semantic Embeddings.
  CoRR, abs/1703.07805, 2017.
  Link
• Rahul Kapoor, Mayank Kejriwal, Pedro Szekely.
  Using Contexts and Constraints for Improved Geotagging of Human Trafficking Webpages.
  CoRR, abs/1704.05569, 2017.
  Link
• Mayank Kejriwal.
  Predicting Role Relevance with Minimal Domain Expertise in a Financial Domain.
  CoRR, abs/1704.05571, 2017.
  Link
• Kyle Hundman, Thamme Gowda, Mayank Kejriwal, Benedikt Boecking.
  Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection.
  CoRR, abs/1712.00846, 2017.
  Link
• Mayank Kejriwal, Jiayuan Ding, Runqi Shao, Anoop Kumar, Pedro Szekely.
  FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining.
  CoRR, abs/1712.03086, 2017.
  Link

2016

• Mayank Kejriwal, Daniel Miranker.
  Local, Domain-independent Heuristics for the FEIII Challenge: Lessons and Observations.
  Proceedings of the Second International Workshop on Data Science for Macro-Modeling, DSMM@SIGMOD 2016, San Francisco, CA, USA, June 26 - July 1, 2016, :17:1--17:2, 2016.
  DOI Link
• Mayank Kejriwal.
  Disjunctive Normal Form Schemes for Heterogeneous Attributed Graphs.
  CoRR, abs/1605.00686, 2016.
  Link
• Mayank Kejriwal, Daniel Miranker.
  Self-contained NoSQL Resources for Cross-Domain RDF.
  CoRR, abs/1608.04437, 2016.
  Link
• Mayank Kejriwal, Daniel Miranker.
  Experience: Type alignment on DBpedia and Freebase.
  CoRR, abs/1608.04442, 2016.
  Link
• Janani Balaji, Faizan Javed, Mayank Kejriwal, Chris Min, Sam Sander, Ozgur Ozturk.
  An Ensemble Blocking Scheme for Entity Resolution of Large and Sparse Datasets.
  CoRR, abs/1609.06265, 2016.
  Link

2015

• Mayank Kejriwal, Daniel Miranker.
  An unsupervised instance matcher for schema-free RDF data.
  J. Web Semant., 35:102--123, 2015.
  DOI Link
• Mayank Kejriwal.
  Sorted Neighborhood for the Semantic Web.
  Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA, :4174--4175, 2015.
  DOI Link
• Mayank Kejriwal.
  Entity Resolution in a Big Data Framework.
  Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA, :4243--4244, 2015.
  DOI Link
• Mayank Kejriwal, Qiaoling Liu, Ferosh Jacob, Faizan Javed.
  A pipeline for extracting and deduplicating domain-specific knowledge bases.
  2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29 - November 1, 2015, :1144--1153, 2015.
  DOI Link
• Mayank Kejriwal, Daniel Miranker.
  Sorted Neighborhood for Schema-free RDF Data.
  Proceedings of the 4th Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data co-located with 12th Extended Semantic Web Conference (ESWC 2015), Portoroz, Slovenia, May 31, 2015, 1365, 2015.
  Link
• Mayank Kejriwal, Daniel Miranker.
  Minimally Supervised Instance Matching: An Alternate Approach.
  The Semantic Web: ESWC 2015 Satellite Events - ESWC 2015 Satellite Events Portorož, Slovenia, May 31 - June 4, 2015, Revised Selected Papers, 9341:72--76, 2015.
  DOI Link
• Mayank Kejriwal, Daniel Miranker.
  Sorted Neighborhood for Schema-Free RDF Data.
  The Semantic Web: ESWC 2015 Satellite Events - ESWC 2015 Satellite Events Portorož, Slovenia, May 31 - June 4, 2015, Revised Selected Papers, 9341:217--229, 2015.
  DOI Link
• Mayank Kejriwal, Daniel Miranker.
  Semi-supervised Instance Matching Using Boosted Classifiers.
  The Semantic Web. Latest Advances and New Domains - 12th European Semantic Web Conference, ESWC 2015, Portoroz, Slovenia, May 31 - June 4, 2015. Proceedings, 9088:388--402, 2015.
  DOI Link
• Mayank Kejriwal, Daniel Miranker.
  Decision-Making Bias in Instance Matching Model Selection.
  The Semantic Web - ISWC 2015 - 14th International Semantic Web Conference, Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part I, 9366:392--407, 2015.
  DOI Link
• Mayank Kejriwal, Daniel Miranker.
  A DNF Blocking Scheme Learner for Heterogeneous Datasets.
  CoRR, abs/1501.01694, 2015.
  Link
• Mayank Kejriwal, Daniel Miranker.
  On the Complexity of Sorted Neighborhood.
  CoRR, abs/1501.01696, 2015.
  Link

2014

• Mayank Kejriwal, Daniel Miranker.
  A two-step blocking scheme learner for scalable link discovery.
  Proceedings of the 9th International Workshop on Ontology Matching collocated with the 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Trentino, Italy, October 20, 2014, 1317:49--60, 2014.
  Link
• Mayank Kejriwal, Daniel Miranker.
  On Linking Heterogeneous Dataset Collections.
  Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference, ISWC 2014, Riva del Garda, Italy, October 21, 2014, 1272:217--220, 2014.
  Link
• Mayank Kejriwal.
  Populating Entity Name Systems for Big Data Integration.
  The Semantic Web - ISWC 2014 - 13th International Semantic Web Conference, Riva del Garda, Italy, October 19-23, 2014. Proceedings, Part II, 8797:521--528, 2014.
  DOI Link
• Aibo Tian, Mayank Kejriwal, Daniel Miranker.
  Schema matching over relations, attributes, and data values.
  Conference on Scientific and Statistical Database Management, SSDBM '14, Aalborg, Denmark, June 30 - July 02, 2014, :28:1--28:12, 2014.
  DOI Link

2013

• Mayank Kejriwal, Daniel Miranker.
  An Unsupervised Algorithm for Learning Blocking Schemes.
  2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013, :340--349, 2013.
  DOI Link
• Zihao Zhou, Mayank Kejriwal, Risto Miikkulainen.
  Extended scaled neural predictor for improved branch prediction.
  The 2013 International Joint Conference on Neural Networks, IJCNN 2013, Dallas, TX, USA, August 4-9, 2013, :1--7, 2013.
  DOI Link

2012

• Liana Diesendruck, Luigi Marini, Rob Kooper, Mayank Kejriwal, Kenton McHenry.
  A framework to access handwritten information within large digitized paper collections.
  8th IEEE International Conference on E-Science, e-Science 2012, Chicago, IL, USA, October 8-12, 2012, :1--10, 2012.
  DOI Link
• Liana Diesendruck, Luigi Marini, Rob Kooper, Mayank Kejriwal, Kenton McHenry.
  Digitization and search: A non-traditional use of HPC.
  8th IEEE International Conference on E-Science, e-Science 2012, Chicago, IL, USA, October 8-12, 2012, :1--6, 2012.
  DOI Link
• Liana Diesendruck, Luigi Marini, Rob Kooper, Mayank Kejriwal, Kenton McHenry.
  Abstract: Digitization and Search: A Non-Traditional Use of HPC.
  2012 SC Companion: High Performance Computing, Networking Storage and Analysis, Salt Lake City, UT, USA, November 10-16, 2012, :1460--1461, 2012.
  DOI Link
• Liana Diesendruck, Luigi Marini, Rob Kooper, Mayank Kejriwal, Kenton McHenry.
  Poster: Digitization and Search: A Non-Traditional Use of HPC.
  2012 SC Companion: High Performance Computing, Networking Storage and Analysis, Salt Lake City, UT, USA, November 10-16, 2012, :1462, 2012.
  DOI Link