Laks V. S. Lakshmanan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
151
Venues
34
Active years
1991–2026
Best venue rank
A*
Where they publish
- A*SIGMOD28 papers
- A*ICDE25 papers
- A*VLDB20 papers
- A*KDD11 papers
- BEDBT8 papers
- ACIKM7 papers
- A*WWW7 papers
- A*ACL5 papers
- AWSDM4 papers
- ARecSys3 papers
- A*ICDM3 papers
- AICDT3 papers
- A*ICLR2 papers
- A*ICML2 papers
- BCOLING2 papers
- ASDM2 papers
- A*PODS2 papers
- A*AAAI1 paper
- A*EMNLP1 paper
- ANAACL1 paper
- A*IJCAI1 paper
- BIJCNLP1 paper
- BDSAA1 paper
- AAISTATS1 paper
- BDASFAA1 paper
- A*KR1 paper
- ACaiSE1 paper
- CADBIS1 paper
- CWAW1 paper
- ACIDR1 paper
- CDEXA1 paper
- A*LICS1 paper
- BLPNMR1 paper
- BICLP1 paper
Papers
151 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICDE | [Experiment, Analysis, and Benchmark] BEACON: A Benchmark for Efficient and Accurate Counting of Subgraphs. | Xiangju Zhu, Mohammad Matin Najafi, Chrysanthi Kosyfaki, Xiaodong Li, Reynold Cheng, Laks V. S. Lakshmanan |
| 2025 | AAAI | Hyperparametric Robust and Dynamic Influence Maximization. | Arkaprava Saha, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan |
| 2025 | CIKM | On Influence Tail Bounds in Online Social Networks. | Michael Simpson, Laks V. S. Lakshmanan, Venkatesh Srinivasan, Alex Thomo |
| 2025 | CIKM | KRAFT: A Knowledge Graph-Based Framework for Automated Map Conflation. | Farnoosh Hashemi, Laks V. S. Lakshmanan |
| 2025 | ICLR | OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference. | Dujian Ding, Bicheng Xu, Laks V. S. Lakshmanan |
| 2025 | ICML | BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute. | Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian del Carmen Hipolito Garcia, Menglin Xia, Laks V. S. Lakshmanan, Qingyun Wu, Victor Rhle |
| 2025 | KDD | Hyperparametric Influence Minimization: Feature-Driven Intervention Beyond Blocking. | Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan |
| 2025 | WWW | TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding. | Yuyang Liang, Yankai Chen, Yixiang Fang, Laks V. S. Lakshmanan, Chenhao Ma |
| 2025 | WWW | SANS: Efficient Densest Subgraph Discovery over Relational Graphs without Materialization. | Yudong Niu, Yuchen Li, Jiaxin Jiang, Laks V. S. Lakshmanan |
| 2025 | VLDB | Towards Fine-Grained Extraction of Scientific Claims from Heterogeneous Tables Using Large Language Models. | Daniele Bertillo, Laks V. S. Lakshmanan, Paolo Merialdo, Divesh Srivastava |
| 2024 | ACL | LLM Performance Predictors are good initializers for Architecture Search. | Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Dujian Ding |
| 2024 | ACL | Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. | Ganesh Jawahar, Haichuan Yang, Yunyang Xiong, Zechun Liu, Dilin Wang, Fei Sun, Meng Li, Aasish Pappu, Barlas Oguz, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Raghuraman Krishnamoorthi, Vikas Chandra |
| 2024 | EMNLP | DetoxLLM: A Framework for Detoxification with Explanations. | Md. Tawkat Islam Khondaker, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan |
| 2024 | ICLR | Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing. | Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rhle, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah |
| 2024 | KDD | Predicting Cascading Failures with a Hyperparametric Diffusion Model. | Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Olga Mula, Dusit Niyato, Laks V. S. Lakshmanan |
| 2024 | NAACL | DuRE: Dual Contrastive Self Training for Semi-Supervised Relation Extraction. | Yuxi Feng, Laks V. S. Lakshmanan |
| 2023 | ACL | DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation. | Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie |
| 2023 | ACL | AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation. | Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah, Sbastien Bubeck, Jianfeng Gao |
| 2023 | ICDE | Voting-based Opinion Maximization. | Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan |
| 2023 | IJCAI | KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation. | Yuxi Feng, Xiaoyuan Yi, Laks V. S. Lakshmanan, Xing Xie |
| 2023 | IJCNLP | PACT: Pretraining with Adversarial Contrastive Learning for Text Classification. | Md. Tawkat Islam Khondaker, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan |
| 2022 | ACL | Automatic Detection of Entity-Manipulated Text using Factual Knowledge. | Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan |
| 2022 | WWW | FirmCore Decomposition of Multilayer Networks. | Farnoosh Hashemi, Ali Behrouz, Laks V. S. Lakshmanan |
| 2022 | SIGMOD | On a Quest for Combating Filter Bubbles and Misinformation. | Laks V. S. Lakshmanan |
| 2022 | SIGMOD | A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery. | Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han |
| 2021 | ICDE | Stealthy Targeted Data Poisoning Attack on Knowledge Graphs. | Prithu Banerjee, Lingyang Chu, Yong Zhang, Laks V. S. Lakshmanan, Lanjun Wang |
| 2021 | SIGMOD | Efficient and Effective Algorithms for Revenue Maximization in Social Advertising. | Kai Han, Benwei Wu, Jing Tang, Shuang Cui, igdem Aslay, Laks V. S. Lakshmanan |
| 2021 | SIGMOD | To Intervene or Not To Intervene: Cost based Intervention for Combating Fake News. | Saravanan Thirumuruganathan, Michael Simpson, Laks V. S. Lakshmanan |
| 2020 | COLING | A High Precision Pipeline for Financial Knowledge Graph Construction. | Sarah Elhammadi, Laks V. S. Lakshmanan, Raymond T. Ng, Michael Simpson, Baoxing Huai, Zhefeng Wang, Lanjun Wang |
| 2020 | COLING | Automatic Detection of Machine Generated Text: A Critical Survey. | Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan |
| 2020 | ICDE | Summarizing Hierarchical Multidimensional Data. | Alexandra Kim, Laks V. S. Lakshmanan, Divesh Srivastava |
| 2020 | SIGMOD | Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs. | Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin |
| 2020 | WSDM | TSA: A Truthful Mechanism for Social Advertising. | Tobias Grubenmann, Reynold C. K. Cheng, Laks V. S. Lakshmanan |
| 2019 | SIGMOD | Maximizing Welfare in Social Networks under A Utility Driven Influence Diffusion model. | Prithu Banerjee, Wei Chen, Laks V. S. Lakshmanan |
| 2019 | SIGMOD | Efficient Approximation Algorithms for Adaptive Seed Minimization. | Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim |
| 2018 | DSAA | Cohort Representation and Exploration. | Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Laks V. S. Lakshmanan |
| 2018 | SIGMOD | FastQRE: Fast Query Reverse Engineering. | Dmitri V. Kalashnikov, Laks V. S. Lakshmanan, Divesh Srivastava |
| 2018 | WSDM | Influence Maximization in Online Social Networks. | igdem Aslay, Laks V. S. Lakshmanan, Wei Lu, Xiaokui Xiao |
| 2017 | AISTATS | Horde of Bandits using Gaussian Markov Random Fields. | Sharan Vaswani, Mark Schmidt, Laks V. S. Lakshmanan |
| 2017 | ICDE | Community Search over Big Graphs: Models, Algorithms, and Opportunities. | Xin Huang, Laks V. S. Lakshmanan, Jianliang Xu |
| 2017 | ICML | Model-Independent Online Learning for Influence Maximization. | Sharan Vaswani, Branislav Kveton, Zheng Wen, Mohammad Ghavamzadeh, Laks V. S. Lakshmanan, Mark Schmidt |
| 2017 | WWW | Exploring Rated Datasets with Rating Maps. | Sihem Amer-Yahia, Sofia Kleisarchaki, Naresh Kumar Kolloju, Laks V. S. Lakshmanan, Ruben H. Zamar |
| 2016 | SIGMOD | Truss Decomposition of Probabilistic Graphs: Semantics and Algorithms. | Xin Huang, Wei Lu, Laks V. S. Lakshmanan |
| 2016 | SIGMOD | Nepal: a path query language for communication networks. | Theodore Johnson, Yaron Kanza, Laks V. S. Lakshmanan, Vladislav Shkapenyuk |
| 2016 | SIGMOD | Viral marketing 2.0. | Laks V. S. Lakshmanan |
| 2016 | SDM | Query-Driven Maximum Quasi-Clique Search. | Pei Lee, Laks V. S. Lakshmanan |
| 2015 | SIGMOD | From Group Recommendations to Group Formation. | Senjuti Basu Roy, Laks V. S. Lakshmanan, Rui Liu |
| 2015 | VLDB | Social Network Analytics: Beyond the Obvious. | Laks V. S. Lakshmanan |
| 2014 | CIKM | CAST: A Context-Aware Story-Teller for Streaming Social Content. | Pei Lee, Laks V. S. Lakshmanan, Evangelos E. Milios |
| 2014 | DASFAA | Thwarting Passive Privacy Attacks in Collaborative Filtering. | Rui Chen, Min Xie, Laks V. S. Lakshmanan |
| 2014 | EDBT | Exploratory Search in Databases and the Web. | Georgia Koutrika, Laks V. S. Lakshmanan, Mirek Riedewald, Kostas Stefanidis |
| 2014 | ICDE | Incremental cluster evolution tracking from highly dynamic network data. | Pei Lee, Laks V. S. Lakshmanan, Evangelos E. Milios |
| 2014 | KDD | Modeling impression discounting in large-scale recommender systems. | Pei Lee, Laks V. S. Lakshmanan, Mitul Tiwari, Sam Shah |
| 2014 | KDD | On social event organization. | Keqian Li, Wei Lu, Smriti Bhagat, Laks V. S. Lakshmanan, Cong Yu |
| 2014 | KDD | Optimal recommendations under attraction, aversion, and social influence. | Wei Lu, Stratis Ioannidis, Smriti Bhagat, Laks V. S. Lakshmanan |
| 2014 | RecSys | Recommending user generated item lists. | Yidan Liu, Min Xie, Laks V. S. Lakshmanan |
| 2014 | SDM | Auto-play: A Data Mining Approach to ODI Cricket Simulation and Prediction. | Vignesh Veppur Sankaranarayanan, Junaed Sattar, Laks V. S. Lakshmanan |
| 2013 | EDBT | Efficient top-k query answering using cached views. | Min Xie, Laks V. S. Lakshmanan, Peter T. Wood |
| 2013 | ICDM | Validating Network Value of Influencers by Means of Explanations. | Glenn S. Bevilacqua, Shealen Clare, Amit Goyal, Laks V. S. Lakshmanan |
| 2013 | KDD | KeySee: supporting keyword search on evolving events in social streams. | Pei Lee, Laks V. S. Lakshmanan, Evangelos E. Milios |
| 2013 | KDD | The bang for the buck: fair competitive viral marketing from the host perspective. | Wei Lu, Francesco Bonchi, Amit Goyal, Laks V. S. Lakshmanan |
| 2013 | WWW | HeteroMF: recommendation in heterogeneous information networks using context dependent factor models. | Mohsen Jamali, Laks V. S. Lakshmanan |
| 2012 | CIKM | Efficient extraction of ontologies from domain specific text corpora. | Tianyu Li, Pirooz Chubak, Laks V. S. Lakshmanan, Rachel Pottinger |
| 2012 | ICDE | On Top-k Structural Similarity Search. | Pei Lee, Laks V. S. Lakshmanan, Jeffrey Xu Yu |
| 2012 | ICDM | Profit Maximization over Social Networks. | Wei Lu, Laks V. S. Lakshmanan |
| 2012 | KDD | RecMax: exploiting recommender systems for fun and profit. | Amit Goyal, Laks V. S. Lakshmanan |
| 2012 | KR | Declarative Entity Resolution via Matching Dependencies and Answer Set Programs. | Zeinab Bahmani, Leopoldo E. Bertossi, Solmaz Kolahi, Laks V. S. Lakshmanan |
| 2012 | WSDM | Maximizing product adoption in social networks. | Smriti Bhagat, Amit Goyal, Laks V. S. Lakshmanan |
| 2011 | CaiSE | ONTECTAS: Bridging the Gap between Collaborative Tagging Systems and Structured Data. | Ali Moosavi, Tianyu Li, Laks V. S. Lakshmanan, Rachel Pottinger |
| 2011 | CIKM | Adding structure to top-k: from items to expansions. | Xueyao Liang, Min Xie, Laks V. S. Lakshmanan |
| 2011 | EDBT | TopRecs: Top-k algorithms for item-based collaborative filtering. | Mohammad Khabbaz, Laks V. S. Lakshmanan |
| 2011 | ICDE | CompRec-Trip: A composite recommendation system for travel planning. | Min Xie, Laks V. S. Lakshmanan, Peter T. Wood |
| 2011 | ICDM | SIMPATH: An Efficient Algorithm for Influence Maximization under the Linear Threshold Model. | Amit Goyal, Wei Lu, Laks V. S. Lakshmanan |
| 2011 | ICDT | Data cleaning and query answering with matching dependencies and matching functions. | Leopoldo E. Bertossi, Solmaz Kolahi, Laks V. S. Lakshmanan |
| 2011 | WWW | CELF++: optimizing the greedy algorithm for influence maximization in social networks. | Amit Goyal, Wei Lu, Laks V. S. Lakshmanan |
| 2011 | SIGMOD | We challenge you to certify your updates. | Su Chen, Xin Luna Dong, Laks V. S. Lakshmanan, Divesh Srivastava |
| 2010 | ADBIS | Exploiting Conflict Structures in Inconsistent Databases. | Solmaz Kolahi, Laks V. S. Lakshmanan |
| 2010 | RecSys | Breaking out of the box of recommendations: from items to packages. | Min Xie, Laks V. S. Lakshmanan, Peter T. Wood |
| 2010 | WSDM | Learning influence probabilities in social networks. | Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan |
| 2010 | WAW | Fast Katz and Commuters: Efficient Estimation of Social Relatedness in Large Networks. | Pooya Esfandiar, Francesco Bonchi, David F. Gleich, Chen Greif, Laks V. S. Lakshmanan, Byung-Won On |
| 2009 | CIDR | SocialScope: Enabling Information Discovery on Social Content Sites. | Sihem Amer-Yahia, Laks V. S. Lakshmanan, Cong Yu |
| 2009 | EDBT | Anonymizing moving objects: how to hide a MOB in a crowd? | Roman Yarovoy, Francesco Bonchi, Laks V. S. Lakshmanan, Wendy Hui Wang |
| 2009 | EDBT | It takes variety to make a world: diversification in recommender systems. | Cong Yu, Laks V. S. Lakshmanan, Sihem Amer-Yahia |
| 2009 | ICDE | On Efficient Recommendations for Online Exchange Markets. | Zeinab Abbassi, Laks V. S. Lakshmanan |
| 2009 | ICDE | Discovering Conditional Functional Dependencies. | Wenfei Fan, Floris Geerts, Laks V. S. Lakshmanan, Ming Xiong |
| 2009 | ICDE | GuruMine: A Pattern Mining System for Discovering Leaders and Tribes. | Amit Goyal, Byung-Won On, Francesco Bonchi, Laks V. S. Lakshmanan |
| 2009 | ICDE | Recommendation Diversification Using Explanations. | Cong Yu, Laks V. S. Lakshmanan, Sihem Amer-Yahia |
| 2009 | ICDT | On approximating optimum repairs for functional dependency violations. | Solmaz Kolahi, Laks V. S. Lakshmanan |
| 2009 | RecSys | Getting recommender systems to think outside the box. | Zeinab Abbassi, Sihem Amer-Yahia, Laks V. S. Lakshmanan, Sergei Vassilvitskii, Cong Yu |
| 2008 | CIKM | Discovering leaders from community actions. | Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan |
| 2008 | ICDE | What-if OLAP Queries with Changing Dimensions. | Laks V. S. Lakshmanan, Alexander Russakovsky, Vaishnavi Sashikanth |
| 2008 | WWW | Offline matching approximation algorithms in exchange markets. | Zeinab Abbassi, Laks V. S. Lakshmanan |
| 2007 | ICDE | Personalizing XML Search in PIMENTO. | Sihem Amer-Yahia, Irini Fundulaki, Laks V. S. Lakshmanan |
| 2007 | ICDE | Preservation Of Patterns and Input-Output Privacy. | Shaofeng Bu, Laks V. S. Lakshmanan, Raymond T. Ng, Ganesh Ramesh |
| 2007 | ICDE | Complex Group-By Queries for XML. | Chaitanya Gokhale, Nitin Gupta, Pranav Kumar, Laks V. S. Lakshmanan, Raymond T. Ng, B. Aditya Prakash |
| 2007 | ICDE | X | Nuwee Wiwatwattana, H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava |
| 2006 | ICDE | Making Designer Schemas with Colors. | Nuwee Wiwatwattana, H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava |
| 2006 | VLDB | Answering Tree Pattern Queries Using Views. | Laks V. S. Lakshmanan, Wendy Hui Wang, Zheng (Jessica) Zhao |
| 2006 | VLDB | Efficient Secure Query Evaluation over Encrypted XML Databases. | Wendy Hui Wang, Laks V. S. Lakshmanan |
| 2005 | SIGMOD | To Do or Not To Do: The Dilemma of Disclosing Anonymized Data. | Laks V. S. Lakshmanan, Raymond T. Ng, Ganesh Ramesh |
| 2005 | VLDB | Personalizing XML Text Search in PimenT. | Sihem Amer-Yahia, Irini Fundulaki, Prateek Jain, Laks V. S. Lakshmanan |
| 2005 | VLDB | HePToX: Marrying XML and Heterogeneity in Your P2P Databases. | Angela Bonifati, Elaine Qing Chang, Terence Ho, Laks V. S. Lakshmanan, Rachel Pottinger |
| 2005 | VLDB | MDL Summarization with Holes. | Shaofeng Bu, Laks V. S. Lakshmanan, Raymond T. Ng |
| 2004 | SIGMOD | FleXPath: Flexible Structure and Full-Text Querying for XML. | Sihem Amer-Yahia, Laks V. S. Lakshmanan, Shashank Pandit |
| 2004 | SIGMOD | Colorful XML: One Hierarchy Isn't Enough. | H. V. Jagadish, Laks V. S. Lakshmanan, Monica Scannapieco, Divesh Srivastava, Nuwee Wiwatwattana |
| 2004 | SIGMOD | Tree Logical Classes for Efficient Evaluation of XQuery. | Stelios Paparizos, Yuqing Wu, Laks V. S. Lakshmanan, H. V. Jagadish |
| 2004 | VLDB | On Testing Satisfiability of Tree Pattern Queries. | Laks V. S. Lakshmanan, Ganesh Ramesh, Wendy Hui Wang, Zheng (Jessica) Zhao |
| 2003 | KDD | Mining unexpected rules by pushing user dynamics. | Ke Wang, Yuelong Jiang, Laks V. S. Lakshmanan |
| 2003 | SIGMOD | LockX: A System for Efficiently Querying Secure XML. | SungRan Cho, Sihem Amer-Yahia, Laks V. S. Lakshmanan, Divesh Srivastava |
| 2003 | SIGMOD | QC-Trees: An Efficient Summary Structure for Semantic OLAP. | Laks V. S. Lakshmanan, Jian Pei, Yan Zhao |
| 2003 | SIGMOD | SOCQET: Semantic OLAP with Compressed Cube and Summarization. | Laks V. S. Lakshmanan, Jian Pei, Yan Zhao |
| 2003 | SIGMOD | TIMBER: A Native System for Querying XML. | Stelios Paparizos, Shurug Al-Khalifa, Adriane Chapman, H. V. Jagadish, Laks V. S. Lakshmanan, Andrew Nierman, Jignesh M. Patel, Divesh Srivastava, Nuwee Wiwatwattana, Yuqing Wu, Cong Yu |
| 2003 | VLDB | From Tree Patterns to Generalized Tree Patterns: On Efficient Evaluation of XQuery. | Zhimin Chen, H. V. Jagadish, Laks V. S. Lakshmanan, Stelios Paparizos |
| 2003 | VLDB | Efficacious Data Cube Exploration by Semantic Summarization and Compression. | Laks V. S. Lakshmanan, Jian Pei, Yan Zhao |
| 2002 | EDBT | Efficient OLAP Query Processing in Distributed Data Warehouses. | Michael O. Akinde, Michael H. Bhlen, Theodore Johnson, Laks V. S. Lakshmanan, Divesh Srivastava |
| 2002 | EDBT | On Efficient Matching of Streaming XML Documents and Queries. | Laks V. S. Lakshmanan, Sailaja Parthasarathy |
| 2002 | ICDE | Efficient OLAP Query Processing in Distributed Data Warehouse. | Michael O. Akinde, Michael H. Bhlen, Theodore Johnson, Laks V. S. Lakshmanan, Divesh Srivastava |
| 2002 | VLDB | Optimizing the Secure Evaluation of Twig Queries. | SungRan Cho, Sihem Amer-Yahia, Laks V. S. Lakshmanan, Divesh Srivastava |
| 2002 | VLDB | The Generalized MDL Approach for Summarization. | Laks V. S. Lakshmanan, Raymond T. Ng, Christine Xing Wang, Xiaodong Zhou, Theodore Johnson |
| 2002 | VLDB | Quotient Cube: How to Summarize the Semantics of a Data Cube. | Laks V. S. Lakshmanan, Jian Pei, Jiawei Han |
| 2002 | VLDB | Compressed Accessibility Map: Efficient Access Control for XML. | Ting Yu, Divesh Srivastava, Laks V. S. Lakshmanan, H. V. Jagadish |
| 2001 | ICDE | On Dual Mining: From Patterns to Circumstances, and Back. | Gsta Grahne, Laks V. S. Lakshmanan, Xiaohong Wang, Ming Hao Xie |
| 2001 | ICDE | Mining Frequent Item Sets with Convertible Constraints. | Jian Pei, Jiawei Han, Laks V. S. Lakshmanan |
| 2001 | ICDT | Constraint-based clustering in large databases. | Anthony K. H. Tung, Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han |
| 2001 | KDD | Scalable frequent-pattern mining methods: an overview. | Jiawei Han, Laks V. S. Lakshmanan, Jian Pei |
| 2001 | SIGMOD | Minimization of Tree Pattern Queries. | Sihem Amer-Yahia, SungRan Cho, Laks V. S. Lakshmanan, Divesh Srivastava |
| 2000 | EDBT | On Bounding-Schemas for LDAP Directories. | Sihem Amer-Yahia, H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava |
| 2000 | ICDE | Efficient Mining of Constrained Correlated Sets. | Gsta Grahne, Laks V. S. Lakshmanan, Xiaohong Wang |
| 2000 | KDD | Geo-Spatial Clustering with User-Specified Constraints. | Anthony K. H. Tung, Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han |
| 2000 | VLDB | The 3W Model and Algebra for Unified Data Mining. | Theodore Johnson, Laks V. S. Lakshmanan, Raymond T. Ng |
| 1999 | SIGMOD | Querying Network Directories. | H. V. Jagadish, Laks V. S. Lakshmanan, Tova Milo, Divesh Srivastava, Dimitra Vista |
| 1999 | SIGMOD | Snakes and Sandwiches: Optimal Clustering Strategies for a Data Warehouse. | H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava |
| 1999 | SIGMOD | Optimization of Constrained Frequent Set Queries with 2-variable Constraints. | Laks V. S. Lakshmanan, Raymond T. Ng, Jiawei Han, Alex Pang |
| 1999 | SIGMOD | Exploratory Mining via Constrained Frequent Set Queries. | Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han, Teresa Mah |
| 1999 | VLDB | What can Hierarchies do for Data Warehouses? | H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava |
| 1999 | VLDB | On Efficiently Implementing SchemaSQL on an SQL Database System. | Laks V. S. Lakshmanan, Fereidoon Sadri, Subbu N. Subramanian |
| 1998 | ICDE | On Query Spreadsheets. | Laks V. S. Lakshmanan, Subbu N. Subramanian, Nita Goyal, Ravi Krishnamurthy |
| 1998 | SIGMOD | Exploratory Mining and Pruning Optimizations of Constrained Association Rules. | Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han, Alex Pang |
| 1998 | VLDB | nD-SQL: A Multi-Dimensional Language for Interoperability and OLAP. | Frdric Gingras, Laks V. S. Lakshmanan |
| 1997 | SIGMOD | Languages for Multi-database Interoperability. | Frdric Gingras, Laks V. S. Lakshmanan, Iyer N. Subramanian, Despina Papoulis, Nematollaah Shiri |
| 1997 | VLDB | A Foundation for Multi-dimensional Databases. | Marc Gyssens, Laks V. S. Lakshmanan |
| 1996 | CIKM | On Implementing SchemaLog - A Database Programming Language. | Alanoly Andrews, Nematollaah Shiri, Laks V. S. Lakshmanan, Iyer N. Subramanian |
| 1996 | PODS | Tables as a Paradigm for Querying and Restructuring. | Marc Gyssens, Laks V. S. Lakshmanan, Iyer N. Subramanian |
| 1996 | VLDB | SchemaSQL - A Language for Interoperability in Relational Multi-Database Systems. | Laks V. S. Lakshmanan, Fereidoon Sadri, Iyer N. Subramanian |
| 1995 | ICDE | Pushing Semantics Inside Recursion: A General Framework for Semantic Optimization of Recursive Queries. | Laks V. S. Lakshmanan, Rokia Missaoui |
| 1994 | DEXA | Modeling Uncertainty in Deductive Databases. | Laks V. S. Lakshmanan, Fereidoon Sadri |
| 1993 | LICS | Homomorphic Tree Embeddings and Their Applications to Recursive Program Optimization | Laks V. S. Lakshmanan, Karima Ashraf, Jiawei Han |
| 1993 | LPNMR | Canonical Kripke Models and The Intuitonistic Semantics of Logic Programs (Extended Abstract). | Fangqing Dong, Laks V. S. Lakshmanan |
| 1992 | ICDE | On Semantic Query Optimization in Deductive Databases. | Laks V. S. Lakshmanan, Rokia Missaoui |
| 1992 | ICLP | Deductive Databases with Incomplete Information. | Fangqing Dong, Laks V. S. Lakshmanan |
| 1991 | PODS | Structural Query Optimization - A uniform Framework for Semantic Query Optimization in Deductive Databases. | Laks V. S. Lakshmanan, Hctor J. Hernndez |