Laks V. S. Lakshmanan

346 papers A* 69A 22B 11C 3Misc 2Journal 148Unranked 78

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Finding Locally Densest Subgraphs: Convex Programming with Edge and Triangle Density. VLDB J. Yi Yang, Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han
2025	J	`jnl`	A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness. Proc. ACM Manag. Data Ningyi Liao, Haoyu Liu, Zulun Zhu, Siqiang Luo, Laks V. S. Lakshmanan
2025	J	`jnl`	BEACON: A Benchmark for Efficient and Accurate Counting of Subgraphs. CoRR Mohammad Matin Najafi, Xianju Zhu, Chrysanthi Kosyfaki, Laks V. S. Lakshmanan, Reynold Cheng
2025	A*	`conf`	BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute. ICML Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian del Carmen Hipolito Garcia, Menglin Xia, Laks V. S. Lakshmanan, Qingyun Wu, Victor Rühle
2025	J	`jnl`	BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute. CoRR Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian del Carmen Hipolito Garcia, Menglin Xia, Laks V. S. Lakshmanan, Qingyun Wu, Victor Rühle
2025	J	`jnl`	Beyond influence: voting theory for opinion maximization. VLDB J. Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan
2025	—	`conf`	Fact-Checking with Large Language Models via Cost-Effective First-Order Logic Reformulation. ASONAM (3) Sara Asghari, Laks V. S. Lakshmanan, Venkatesh Srinivasan, Alex Thomo
2025	J	`jnl`	Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking Approach. CoRR Kaiqiang Yu, Kaixin Wang, Cheng Long, Laks V. S. Lakshmanan, Reynold Cheng
2025	J	`jnl`	Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking Approach. Proc. ACM Manag. Data Kaiqiang Yu, Kaixin Wang, Cheng Long, Laks V. S. Lakshmanan, Reynold Cheng
2025	J	`jnl`	Finding Locally Densest Subgraphs: Convex Programming with Edge and Triangle Density. CoRR Yi Yang, Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han
2025	—	`conf`	Hyperparametric Influence Minimization: Feature-Driven Intervention Beyond Blocking. KDD (2) Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan
2025	A*	`conf`	Hyperparametric Robust and Dynamic Influence Maximization. AAAI Arkaprava Saha, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan
2025	A	`conf`	KRAFT: A Knowledge Graph-Based Framework for Automated Map Conflation. CIKM Farnoosh Hashemi, Laks V. S. Lakshmanan
2025	J	`jnl`	KRAFT: A Knowledge Graph-Based Framework for Automated Map Conflation. CoRR Farnoosh Hashemi, Laks V. S. Lakshmanan
2025	J	`jnl`	NAMeGEn: Creative Name Generation via A Novel Agent-based Multiple Personalized Goal Enhancement Framework. CoRR Shanlin Zhou, Xinpeng Wang, Jianxun Lian, Zhenghao Liu, Laks V. S. Lakshmanan, Xiaoyuan Yi, Yongtao Hao
2025	A*	`conf`	OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference. ICLR Dujian Ding, Bicheng Xu, Laks V. S. Lakshmanan
2025	J	`jnl`	On Aggregation Queries over Predicted Nearest Neighbors. CoRR Carrie Wang, Sihem Amer-Yahia, Laks V. S. Lakshmanan, Reynold Cheng
2025	A	`conf`	On Influence Tail Bounds in Online Social Networks. CIKM Michael Simpson, Laks V. S. Lakshmanan, Venkatesh Srinivasan, Alex Thomo
2025	J	`jnl`	Reflection Pretraining Enables Token-Level Self-Correction in Biological Sequence Models. CoRR Xiang Zhang, Jiaqi Wei, Yuejin Yang, Zijie Qiu, Yuhan Chen, Zhiqiang Gao, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Wanli Ouyang, Chenyu You, Siqi Sun
2025	A*	`conf`	SANS: Efficient Densest Subgraph Discovery over Relational Graphs without Materialization. WWW Yudong Niu, Yuchen Li, Jiaxin Jiang, Laks V. S. Lakshmanan
2025	—	`conf`	TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding. WWW (Companion Volume) Yuyang Liang, Yankai Chen, Yixiang Fang, Laks V. S. Lakshmanan, Chenhao Ma
2025	J	`jnl`	TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding. CoRR Yuyang Liang, Yankai Chen, Yixiang Fang, Laks V. S. Lakshmanan, Chenhao Ma
2025	J	`jnl`	ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries. CoRR Keke Huang, Yimin Shi, Dujian Ding, Yifei Li, Yang Fei, Laks V. S. Lakshmanan, Xiaokui Xiao
2025	J	`jnl`	ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries. Proc. VLDB Endow. Keke Huang, Yimin Shi, Dujian Ding, Yifei Li, Yang Fei, Laks V. S. Lakshmanan, Xiaokui Xiao
2025	J	`jnl`	Unifying Tree Search Algorithm and Reward Design for LLM Reasoning: A Survey. CoRR Jiaqi Wei, Xiang Zhang, Yuejin Yang, Wenxuan Huang, Juntai Cao, Sheng Xu, Xiang Zhuang, Zhangyang Gao, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Chenyu You, Wanli Ouyang, Siqi Sun
2024	J	`jnl`	Accelerating directed densest subgraph queries with software and hardware approaches. VLDB J. Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han, Xiaodong Li
2024	J	`jnl`	Autoregressive + Chain of Thought = Recurrent: Recurrence's Role in Language Models' Computability and a Revisit of Recurrent Transformer. CoRR Xiang Zhang, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan
2024	J	`jnl`	Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency. CoRR Ningyi Liao, Haoyu Liu, Zulun Zhu, Siqiang Luo, Laks V. S. Lakshmanan
2024	J	`jnl`	Cross-Modal Consistency in Multimodal Large Language Models. CoRR Xiang Zhang, Senyu Li, Ning Shi, Bradley Hauer, Zijun Wu, Grzegorz Kondrak, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan
2024	A*	`conf`	DetoxLLM: A Framework for Detoxification with Explanations. EMNLP Md. Tawkat Islam Khondaker, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan
2024	—	`conf`	DuRE: Dual Contrastive Self Training for Semi-Supervised Relation Extraction. NAACL-HLT Yuxi Feng, Laks V. S. Lakshmanan
2024	J	`jnl`	Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint. CoRR Yiqian Huang, Shiqi Zhang, Laks V. S. Lakshmanan, Wenqing Lin, Xiaokui Xiao, Bo Tang
2024	J	`jnl`	Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint. Proc. VLDB Endow. Yiqian Huang, Shiqi Zhang, Laks V. S. Lakshmanan, Wenqing Lin, Xiaokui Xiao, Bo Tang
2024	J	`jnl`	GreenLLaMA: A Framework for Detoxification with Explanations. CoRR Md. Tawkat Islam Khondaker, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan
2024	A*	`conf`	Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing. ICLR Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rühle, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah
2024	J	`jnl`	Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing. CoRR Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rühle, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah
2024	J	`jnl`	Hyperparametric Robust and Dynamic Influence Maximization. CoRR Arkaprava Saha, Bogdan Cautis, Xiaokui Xiao, Laks V. S. Lakshmanan
2024	J	`jnl`	In-depth Analysis of Densest Subgraph Discovery in a Unified Framework. CoRR Yingli Zhou, Qingshuo Guo, Yi Yang, Yixiang Fang, Chenhao Ma, Laks V. S. Lakshmanan
2024	J	`jnl`	In-depth Analysis of Densest Subgraph Discovery in a Unified Framework. Proc. VLDB Endow. Yingli Zhou, Qingshuo Guo, Yi Yang, Yixiang Fang, Chenhao Ma, Laks V. S. Lakshmanan
2024	—	`conf`	LLM Performance Predictors are good initializers for Architecture Search. ACL (Findings) Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Dujian Ding
2024	—	`conf`	Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. ACL (Findings) 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	J	`jnl`	OCCAM: Towards Cost-Efficient and Accuracy-Aware Image Classification Inference. CoRR Dujian Ding, Bicheng Xu, Laks V. S. Lakshmanan
2024	J	`jnl`	PASS: Pruning Attention Heads with Almost-sure Sparsity Targets. Trans. Mach. Learn. Res. Dujian Ding, Ganesh Jawahar, Laks V. S. Lakshmanan
2024	A*	`conf`	Predicting Cascading Failures with a Hyperparametric Diffusion Model. KDD Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Olga Mula, Dusit Niyato, Laks V. S. Lakshmanan
2024	J	`jnl`	Predicting Cascading Failures with a Hyperparametric Diffusion Model. CoRR Bin Xiang, Bogdan Cautis, Xiaokui Xiao, Olga Mula, Dusit Niyato, Laks V. S. Lakshmanan
2024	J	`jnl`	Stance Detection with Explanations. Comput. Linguistics Rudra Ranajee Saha, Laks V. S. Lakshmanan, Raymond T. Ng
2023	J	`jnl`	A Survey of Densest Subgraph Discovery on Large Graphs. CoRR Wensheng Luo, Chenhao Ma, Yixiang Fang, Laks V. S. Lakshmanan
2023	—	`conf`	AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation. ACL (Findings) Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah, Sébastien Bubeck, Jianfeng Gao
2023	—	`conf`	DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation. ACL (1) Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie
2023	A*	`conf`	KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation. IJCAI Yuxi Feng, Xiaoyuan Yi, Laks V. S. Lakshmanan, Xing Xie
2023	J	`jnl`	KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation. CoRR Yuxi Feng, Xiaoyuan Yi, Laks V. S. Lakshmanan, Xing Xie
2023	J	`jnl`	LLM Performance Predictors are good initializers for Architecture Search. CoRR Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Dujian Ding
2023	J	`jnl`	MOSER: Scalable Network Motif Discovery using Serial Test. Proc. VLDB Endow. Mohammad Matin Najafi, Chenhao Ma, Xiaodong Li, Reynold Cheng, Laks V. S. Lakshmanan
2023	J	`jnl`	Mitigating Filter Bubbles Under a Competitive Diffusion Model. Proc. ACM Manag. Data Prithu Banerjee, Wei Chen, Laks V. S. Lakshmanan
2023	J	`jnl`	Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. CoRR 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
2023	—	`conf`	PACT: Pretraining with Adversarial Contrastive Learning for Text Classification. IJCNLP (1) Md. Tawkat Islam Khondaker, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan
2023	—	`conf`	Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints. SustaiNLP Ganesh Jawahar, Subhabrata Mukherjee, Debadeepta Dey, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Caio C. T. Mendes, Gustavo Henrique de Rosa, Shital Shah
2023	A*	`conf`	Voting-based Opinion Maximization. ICDE Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan
2022	—	`conf`	A Benchmark Study of Contrastive Learning for Arabic Social Meaning. WANLP@EMNLP Md. Tawkat Islam Khondaker, El Moatez Billah Nagoudi, AbdelRahim A. Elmadany, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan
2022	J	`jnl`	A Benchmark Study of Contrastive Learning for Arabic Social Meaning. CoRR Md. Tawkat Islam Khondaker, El Moatez Billah Nagoudi, AbdelRahim A. Elmadany, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan
2022	—	`conf`	A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery. SIGMOD Conference Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han
2022	J	`jnl`	A fractional memory-efficient approach for online continuous-time influence maximization. VLDB J. Glenn S. Bevilacqua, Laks V. S. Lakshmanan
2022	J	`jnl`	AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers. CoRR Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah, Sébastien Bubeck, Jianfeng Gao
2022	—	`conf`	Automatic Detection of Entity-Manipulated Text using Factual Knowledge. ACL (2) Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan
2022	J	`jnl`	Automatic Detection of Entity-Manipulated Text using Factual Knowledge. CoRR Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan
2022	J	`jnl`	Cross-Platform and Cross-Domain Abusive Language Detection with Supervised Contrastive Learning. CoRR Md. Tawkat Islam Khondaker, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan
2022	J	`jnl`	DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation. CoRR Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie
2022	J	`jnl`	Finding Locally Densest Subgraphs: A Convex Programming Approach. Proc. VLDB Endow. Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han
2022	A*	`conf`	FirmCore Decomposition of Multilayer Networks. WWW Farnoosh Hashemi, Ali Behrouz, Laks V. S. Lakshmanan
2022	J	`jnl`	FirmCore Decomposition of Multilayer Networks. CoRR Farnoosh Hashemi, Ali Behrouz, Laks V. S. Lakshmanan
2022	J	`jnl`	FirmTruss Community Search in Multilayer Networks. CoRR Ali Behrouz, Farnoosh Hashemi, Laks V. S. Lakshmanan
2022	J	`jnl`	FirmTruss Community Search in Multilayer Networks. Proc. VLDB Endow. Ali Behrouz, Farnoosh Hashemi, Laks V. S. Lakshmanan
2022	J	`jnl`	Mid-Career Researcher, huh?: What just Changed? SIGMOD Rec. Laks V. S. Lakshmanan
2022	J	`jnl`	Misinformation Mitigation under Differential Propagation Rates and Temporal Penalties. CoRR Michael Simpson, Farnoosh Hashemi, Laks V. S. Lakshmanan
2022	J	`jnl`	Misinformation Mitigation under Differential Propagation Rates and Temporal Penalties. Proc. VLDB Endow. Michael Simpson, Laks V. S. Lakshmanan, Farnoosh Hashemi
2022	J	`jnl`	On Efficient Approximate Queries over Machine Learning Models. CoRR Dujian Ding, Sihem Amer-Yahia, Laks V. S. Lakshmanan
2022	J	`jnl`	On Efficient Approximate Queries over Machine Learning Models. Proc. VLDB Endow. Dujian Ding, Sihem Amer-Yahia, Laks V. S. Lakshmanan
2022	—	`conf`	On a Quest for Combating Filter Bubbles and Misinformation. SIGMOD Conference Laks V. S. Lakshmanan
2022	J	`jnl`	Small Character Models Match Large Word Models for Autocomplete Under Memory Constraints. CoRR Ganesh Jawahar, Subhabrata Mukherjee, Debadeepta Dey, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Caio César Teodoro Mendes, Gustavo Henrique de Rosa, Shital Shah
2022	J	`jnl`	Voting-based Opinion Maximization. CoRR Arkaprava Saha, Xiangyu Ke, Arijit Khan, Laks V. S. Lakshmanan
2021	J	`jnl`	Efficient Directed Densest Subgraph Discovery. SIGMOD Rec. Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin
2021	—	`conf`	Efficient and Effective Algorithms for Revenue Maximization in Social Advertising. SIGMOD Conference Kai Han, Benwei Wu, Jing Tang, Shuang Cui, Çigdem Aslay, Laks V. S. Lakshmanan
2021	J	`jnl`	Efficient and Effective Algorithms for Revenue Maximization in Social Advertising. CoRR Kai Han, Benwei Wu, Jing Tang, Shuang Cui, Çigdem Aslay, Laks V. S. Lakshmanan
2021	—	`conf`	Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixing. CALCS@NAACL Ganesh Jawahar, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan
2021	J	`jnl`	Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixing. CoRR Ganesh Jawahar, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan
2021	—	`conf`	MAYUR: Map conflAtion using earlY prUning and Rank join. SIGSPATIAL/GIS Gorisha Agarwal, Laks V. S. Lakshmanan, Xiaoming Gao, Kevin Ventullo, Saurav Mohapatra, Saikat Basu
2021	J	`jnl`	On Directed Densest Subgraph Discovery. ACM Trans. Database Syst. Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin
2021	A*	`conf`	Stealthy Targeted Data Poisoning Attack on Knowledge Graphs. ICDE Prithu Banerjee, Lingyang Chu, Yong Zhang, Laks V. S. Lakshmanan, Lanjun Wang
2021	—	`conf`	To Intervene or Not To Intervene: Cost based Intervention for Combating Fake News. SIGMOD Conference Saravanan Thirumuruganathan, Michael Simpson, Laks V. S. Lakshmanan
2020	B	`conf`	A High Precision Pipeline for Financial Knowledge Graph Construction. COLING Sarah Elhammadi, Laks V. S. Lakshmanan, Raymond T. Ng, Michael Simpson, Baoxing Huai, Zhefeng Wang, Lanjun Wang
2020	B	`conf`	Automatic Detection of Machine Generated Text: A Critical Survey. COLING Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan
2020	J	`jnl`	Automatic Detection of Machine Generated Text: A Critical Survey. CoRR Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan
2020	J	`jnl`	Cohort analytics: efficiency and applicability. VLDB J. Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Laks V. S. Lakshmanan
2020	—	`conf`	Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs. SIGMOD Conference Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin
2020	J	`jnl`	Maximizing Social Welfare in a Competitive Diffusion Model. CoRR Prithu Banerjee, Wei Chen, Laks V. S. Lakshmanan
2020	J	`jnl`	Maximizing Social Welfare in a Competitive Diffusion Model. Proc. VLDB Endow. Prithu Banerjee, Laks V. S. Lakshmanan, Wei Chen
2020	J	`jnl`	Split Regularized Regression. Technometrics Anthony-Alexander Christidis, Laks V. S. Lakshmanan, Ezequiel Smucler, Ruben H. Zamar
2020	A*	`conf`	Summarizing Hierarchical Multidimensional Data. ICDE Alexandra Kim, Laks V. S. Lakshmanan, Divesh Srivastava
2020	A	`conf`	TSA: A Truthful Mechanism for Social Advertising. WSDM Tobias Grubenmann, Reynold C. K. Cheng, Laks V. S. Lakshmanan
2019	J	`jnl`	Combating Fake News: A Data Management and Mining Perspective. Proc. VLDB Endow. Laks V. S. Lakshmanan, Michael Simpson, Saravanan Thirumuruganathan
2019	—	`book`	Community Search over Big Graphs. Xin Huang, Laks V. S. Lakshmanan, Jianliang Xu
2019	J	`jnl`	Efficient Algorithms for Densest Subgraph Discovery. CoRR Yixiang Fang, Kaiqiang Yu, Reynold Cheng, Laks V. S. Lakshmanan, Xuemin Lin
2019	J	`jnl`	Efficient Algorithms for Densest Subgraph Discovery. Proc. VLDB Endow. Yixiang Fang, Kaiqiang Yu, Reynold Cheng, Laks V. S. Lakshmanan, Xuemin Lin
2019	—	`conf`	Efficient Approximation Algorithms for Adaptive Seed Minimization. SIGMOD Conference Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim
2019	J	`jnl`	Efficient Approximation Algorithms for Adaptive Seed Minimization. CoRR Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim
2019	—	`ch.`	Influence Analytics in Graphs. Encyclopedia of Big Data Technologies Laks V. S. Lakshmanan, Panayiotis Tsaparas, Yuichi Yoshida
2019	J	`jnl`	LINC: A Motif Counting Algorithm for Uncertain Graphs. Proc. VLDB Endow. Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Tobias Grubenmann, Yixiang Fang, Xiaodong Li
2019	—	`conf`	Maximizing Welfare in Social Networks under A Utility Driven Influence Diffusion model. SIGMOD Conference Prithu Banerjee, Wei Chen, Laks V. S. Lakshmanan
2018	B	`conf`	Cohort Representation and Exploration. DSAA Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Laks V. S. Lakshmanan
2018	J	`jnl`	EPIC: Welfare Maximization under Economically Postulated Independent Cascade Model. CoRR Prithu Banerjee, Wei Chen, Laks V. S. Lakshmanan
2018	—	`conf`	FastQRE: Fast Query Reverse Engineering. SIGMOD Conference Dmitri V. Kalashnikov, Laks V. S. Lakshmanan, Divesh Srivastava
2018	A	`conf`	Influence Maximization in Online Social Networks. WSDM Çigdem Aslay, Laks V. S. Lakshmanan, Wei Lu, Xiaokui Xiao
2018	—	`ch.`	XML Tree Pattern, XML Twig Query. Encyclopedia of Database Systems (2nd ed.) Laks V. S. Lakshmanan
2017	J	`jnl`	Attribute-Driven Community Search. Proc. VLDB Endow. Xin Huang, Laks V. S. Lakshmanan
2017	J	`jnl`	Combating the Cold Start User Problem in Model Based Collaborative Filtering. CoRR Sampoorna Biswas, Laks V. S. Lakshmanan, Senjuti Basu Roy
2017	A*	`conf`	Community Search over Big Graphs: Models, Algorithms, and Opportunities. ICDE Xin Huang, Laks V. S. Lakshmanan, Jianliang Xu
2017	J	`jnl`	Diffusion Independent Semi-Bandit Influence Maximization. CoRR Sharan Vaswani, Branislav Kveton, Zheng Wen, Mohammad Ghavamzadeh, Laks V. S. Lakshmanan, Mark Schmidt
2017	A*	`conf`	Exploring Rated Datasets with Rating Maps. WWW Sihem Amer-Yahia, Sofia Kleisarchaki, Naresh Kumar Kolloju, Laks V. S. Lakshmanan, Ruben H. Zamar
2017	A	`conf`	Horde of Bandits using Gaussian Markov Random Fields. AISTATS Sharan Vaswani, Mark Schmidt, Laks V. S. Lakshmanan
2017	J	`jnl`	Horde of Bandits using Gaussian Markov Random Fields. CoRR Sharan Vaswani, Mark Schmidt, Laks V. S. Lakshmanan
2017	A*	`conf`	Model-Independent Online Learning for Influence Maximization. ICML Sharan Vaswani, Branislav Kveton, Zheng Wen, Mohammad Ghavamzadeh, Laks V. S. Lakshmanan, Mark Schmidt
2017	J	`jnl`	Refutations on "Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study". CoRR Wei Lu, Xiaokui Xiao, Amit Goyal, Keke Huang, Laks V. S. Lakshmanan
2017	J	`jnl`	Revenue Maximization in Incentivized Social Advertising. Proc. VLDB Endow. Çigdem Aslay, Francesco Bonchi, Laks V. S. Lakshmanan, Wei Lu
2017	J	`jnl`	Revisiting the Stop-and-Stare Algorithms for Influence Maximization. Proc. VLDB Endow. Keke Huang, Sibo Wang, Glenn S. Bevilacqua, Xiaokui Xiao, Laks V. S. Lakshmanan
2016	J	`jnl`	Adaptive Influence Maximization in Social Networks: Why Commit when You can Adapt? CoRR Sharan Vaswani, Laks V. S. Lakshmanan
2016	J	`jnl`	Attribute Truss Community Search. CoRR Xin Huang, Laks V. S. Lakshmanan
2016	—	`conf`	Nepal: a path query language for communication networks. NDA@SIGMOD Theodore Johnson, Yaron Kanza, Laks V. S. Lakshmanan, Vladislav Shkapenyuk
2016	—	`ed.`	Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web, San Francisco, CA, USA, July 1, 2016 ExploreDB@SIGMOD/PODS Senjuti Basu Roy, Kostas Stefanidis, Georgia Koutrika, Mirek Riedewald, Laks V. S. Lakshmanan
2016	A	`conf`	Query-Driven Maximum Quasi-Clique Search. SDM Pei Lee, Laks V. S. Lakshmanan
2016	J	`jnl`	Report on the Third International Workshop on Exploratory Search in Databases and the Web (ExploreDB 2016). SIGMOD Rec. Senjuti Basu Roy, Kostas Stefanidis, Georgia Koutrika, Laks V. S. Lakshmanan, Mirek Riedewald
2016	J	`jnl`	Revenue Maximization in Incentivized Social Advertising. CoRR Çigdem Aslay, Francesco Bonchi, Laks V. S. Lakshmanan, Wei Lu
2016	—	`conf`	Truss Decomposition of Probabilistic Graphs: Semantics and Algorithms. SIGMOD Conference Xin Huang, Wei Lu, Laks V. S. Lakshmanan
2016	—	`conf`	Viral marketing 2.0. NDA@SIGMOD Laks V. S. Lakshmanan
2015	J	`jnl`	Approximate Closest Community Search in Networks. CoRR Xin Huang, Laks V. S. Lakshmanan, Jeffrey Xu Yu, Hong Cheng
2015	J	`jnl`	Approximate Closest Community Search in Networks. Proc. VLDB Endow. Xin Huang, Laks V. S. Lakshmanan, Jeffrey Xu Yu, Hong Cheng
2015	J	`jnl`	From Competition to Complementarity: Comparative Influence Diffusion and Maximization. CoRR Wei Lu, Wei Chen, Laks V. S. Lakshmanan
2015	J	`jnl`	From Competition to Complementarity: Comparative Influence Diffusion and Maximization. Proc. VLDB Endow. Wei Lu, Wei Chen, Laks V. S. Lakshmanan
2015	—	`conf`	From Group Recommendations to Group Formation. SIGMOD Conference Senjuti Basu Roy, Laks V. S. Lakshmanan, Rui Liu
2015	J	`jnl`	From Group Recommendations to Group Formation. CoRR Senjuti Basu Roy, Laks V. S. Lakshmanan, Rui Liu
2015	J	`jnl`	Influence Maximization with Bandits. CoRR Sharan Vaswani, Laks V. S. Lakshmanan
2015	—	`ed.`	Proceedings of the Second International Workshop on Exploratory Search in Databases and the Web, ExploreDB 2015, Melbourne, VIC, Australia, May 31 - June 04, 2015 ExploreDB@SIGMOD/PODS Georgia Koutrika, Laks V. S. Lakshmanan, Mirek Riedewald, Kostas Stefanidis
2015	J	`jnl`	Report on the Second International Workshop on Exploratory Search in Databases and the Web (ExploreDB 2015). SIGMOD Rec. Georgia Koutrika, Laks V. S. Lakshmanan, Mirek Riedewald, Mohamed A. Sharaf, Kostas Stefanidis
2015	—	`conf`	Social Network Analytics: Beyond the Obvious. Big-O(Q)/DMAH@VLDB Laks V. S. Lakshmanan
2015	J	`jnl`	Viral Marketing Meets Social Advertising: Ad Allocation with Minimum Regret. Proc. VLDB Endow. Çigdem Aslay, Wei Lu, Francesco Bonchi, Amit Goyal, Laks V. S. Lakshmanan
2014	A	`conf`	Auto-play: A Data Mining Approach to ODI Cricket Simulation and Prediction. SDM Vignesh Veppur Sankaranarayanan, Junaed Sattar, Laks V. S. Lakshmanan
2014	A	`conf`	CAST: A Context-Aware Story-Teller for Streaming Social Content. CIKM Pei Lee, Laks V. S. Lakshmanan, Evangelos E. Milios
2014	—	`conf`	Exploratory Search in Databases and the Web. EDBT/ICDT Workshops Georgia Koutrika, Laks V. S. Lakshmanan, Mirek Riedewald, Kostas Stefanidis
2014	J	`jnl`	Generating Top-k Packages via Preference Elicitation. Proc. VLDB Endow. Min Xie, Laks V. S. Lakshmanan, Peter T. Wood
2014	A*	`conf`	Incremental cluster evolution tracking from highly dynamic network data. ICDE Pei Lee, Laks V. S. Lakshmanan, Evangelos E. Milios
2014	J	`jnl`	Modeling Non-Progressive Phenomena for Influence Propagation. CoRR Vincent Yun Lou, Smriti Bhagat, Laks V. S. Lakshmanan, Sharan Vaswani
2014	A*	`conf`	Modeling impression discounting in large-scale recommender systems. KDD Pei Lee, Laks V. S. Lakshmanan, Mitul Tiwari, Sam Shah
2014	—	`conf`	Modeling non-progressive phenomena for influence propagation. COSN Vincent Yun Lou, Smriti Bhagat, Laks V. S. Lakshmanan, Sharan Vaswani
2014	A*	`conf`	On social event organization. KDD Keqian Li, Wei Lu, Smriti Bhagat, Laks V. S. Lakshmanan, Cong Yu
2014	A*	`conf`	Optimal recommendations under attraction, aversion, and social influence. KDD Wei Lu, Stratis Ioannidis, Smriti Bhagat, Laks V. S. Lakshmanan
2014	A	`conf`	Recommending user generated item lists. RecSys Yidan Liu, Min Xie, Laks V. S. Lakshmanan
2014	J	`jnl`	Report on the First International Workshop on Exploratory Search in Databases and the Web (ExploreDB 2014). SIGMOD Rec. Georgia Koutrika, Laks V. S. Lakshmanan, Mirek Riedewald, Kostas Stefanidis
2014	J	`jnl`	Show Me the Money: Dynamic Recommendations for Revenue Maximization. CoRR Wei Lu, Shanshan Chen, Keqian Li, Laks V. S. Lakshmanan
2014	J	`jnl`	Show Me the Money: Dynamic Recommendations for Revenue Maximization. Proc. VLDB Endow. Wei Lu, Shanshan Chen, Keqian Li, Laks V. S. Lakshmanan
2014	—	`conf`	Thwarting Passive Privacy Attacks in Collaborative Filtering. DASFAA (2) Rui Chen, Min Xie, Laks V. S. Lakshmanan
2014	—	`conf`	View-Based Tree-Language Rewritings for XML. FoIKS Laks V. S. Lakshmanan, Alex Thomo
2014	J	`jnl`	Viral Marketing Meets Social Advertising: Ad Allocation with Minimum Regret. CoRR Çigdem Aslay, Wei Lu, Francesco Bonchi, Amit Goyal, Laks V. S. Lakshmanan
2013	J	`jnl`	Data Cleaning and Query Answering with Matching Dependencies and Matching Functions. Theory Comput. Syst. Leopoldo E. Bertossi, Solmaz Kolahi, Laks V. S. Lakshmanan
2013	B	`conf`	Efficient top-k query answering using cached views. EDBT Min Xie, Laks V. S. Lakshmanan, Peter T. Wood
2013	J	`jnl`	Event Evolution Tracking from Streaming Social Posts. CoRR Pei Lee, Laks V. S. Lakshmanan, Evangelos E. Milios
2013	—	`conf`	Fair Recommendations for Online Barter Exchange Networks. WebDB Zeinab Abbassi, Laks V. S. Lakshmanan, Min Xie
2013	A*	`conf`	HeteroMF: recommendation in heterogeneous information networks using context dependent factor models. WWW Mohsen Jamali, Laks V. S. Lakshmanan
2013	J	`jnl`	IPS: An Interactive Package Configuration System for Trip Planning. Proc. VLDB Endow. Min Xie, Laks V. S. Lakshmanan, Peter T. Wood
2013	—	`book`	Information and Influence Propagation in Social Networks Wei Chen, Laks V. S. Lakshmanan, Carlos Castillo
2013	A*	`conf`	KeySee: supporting keyword search on evolving events in social streams. KDD Pei Lee, Laks V. S. Lakshmanan, Evangelos E. Milios
2013	J	`jnl`	On minimizing budget and time in influence propagation over social networks. Soc. Netw. Anal. Min. Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan, Suresh Venkatasubramanian
2013	J	`jnl`	Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases. IEEE Syst. J. Fosca Giannotti, Laks V. S. Lakshmanan, Anna Monreale, Dino Pedreschi, Wendy Hui Wang
2013	A*	`conf`	The bang for the buck: fair competitive viral marketing from the host perspective. KDD Wei Lu, Francesco Bonchi, Amit Goyal, Laks V. S. Lakshmanan
2013	A*	`conf`	Validating Network Value of Influencers by Means of Explanations. ICDM Glenn S. Bevilacqua, Shealen Clare, Amit Goyal, Laks V. S. Lakshmanan
2013	J	`jnl`	Validating Network Value of Influencers by means of Explanations. CoRR Glenn S. Bevilacqua, Shealen Clare, Amit Goyal, Laks V. S. Lakshmanan
2012	—	`ed.`	Advances in Conceptual Modeling - ER 2012 Workshops CMS, ECDM-NoCoDA, MoDIC, MORE-BI, RIGiM, SeCoGIS, WISM, Florence, Italy, October 15-18, 2012. Proceedings ER Workshops Silvana Castano, Panos Vassiliadis, Laks V. S. Lakshmanan, Mong-Li Lee
2012	J	`jnl`	Composite recommendations: from items to packages. Frontiers Comput. Sci. Min Xie, Laks V. S. Lakshmanan, Peter T. Wood
2012	A*	`conf`	Declarative Entity Resolution via Matching Dependencies and Answer Set Programs. KR Zeinab Bahmani, Leopoldo E. Bertossi, Solmaz Kolahi, Laks V. S. Lakshmanan
2012	A	`conf`	Efficient extraction of ontologies from domain specific text corpora. CIKM Tianyu Li, Pirooz Chubak, Laks V. S. Lakshmanan, Rachel Pottinger
2012	J	`jnl`	Fast Matrix Computations for Pairwise and Columnwise Commute Times and Katz Scores. Internet Math. Francesco Bonchi, Pooya Esfandiar, David F. Gleich, Chen Greif, Laks V. S. Lakshmanan
2012	A	`conf`	Maximizing product adoption in social networks. WSDM Smriti Bhagat, Amit Goyal, Laks V. S. Lakshmanan
2012	A*	`conf`	On Top-k Structural Similarity Search. ICDE Pei Lee, Laks V. S. Lakshmanan, Jeffrey Xu Yu
2012	—	`conf`	Privacy-preserving Mining of Association Rules from Outsourced Transaction Databases. SEBD Fosca Giannotti, Laks V. S. Lakshmanan, Anna Monreale, Dino Pedreschi, Wendy Hui Wang
2012	J	`jnl`	Profit Maximization over Social Networks CoRR Wei Lu, Laks V. S. Lakshmanan
2012	A*	`conf`	Profit Maximization over Social Networks. ICDM Wei Lu, Laks V. S. Lakshmanan
2012	A*	`conf`	RecMax: exploiting recommender systems for fun and profit. KDD Amit Goyal, Laks V. S. Lakshmanan
2011	J	`jnl`	A Data-Based Approach to Social Influence Maximization CoRR Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan
2011	J	`jnl`	A Data-Based Approach to Social Influence Maximization. Proc. VLDB Endow. Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan
2011	A	`conf`	Adding structure to top-k: from items to expansions. CIKM Xueyao Liang, Min Xie, Laks V. S. Lakshmanan
2011	—	`conf`	CELF++: optimizing the greedy algorithm for influence maximization in social networks. WWW (Companion Volume) Amit Goyal, Wei Lu, Laks V. S. Lakshmanan
2011	A*	`conf`	CompRec-Trip: A composite recommendation system for travel planning. ICDE Min Xie, Laks V. S. Lakshmanan, Peter T. Wood
2011	A	`conf`	Data cleaning and query answering with matching dependencies and matching functions. ICDT Leopoldo E. Bertossi, Solmaz Kolahi, Laks V. S. Lakshmanan
2011	J	`jnl`	Efficient Rank Join with Aggregation Constraints. Proc. VLDB Endow. Min Xie, Laks V. S. Lakshmanan, Peter T. Wood
2011	J	`jnl`	Fast matrix computations for pair-wise and column-wise commute times and Katz scores CoRR Francesco Bonchi, Pooya Esfandiar, David F. Gleich, Chen Greif, Laks V. S. Lakshmanan
2011	J	`jnl`	Finding Heavy Paths in Graphs: A Rank Join Approach CoRR Mohammad Khabbaz, Smriti Bhagat, Laks V. S. Lakshmanan
2011	A	`conf`	ONTECTAS: Bridging the Gap between Collaborative Tagging Systems and Structured Data. CAiSE Ali Moosavi, Tianyu Li, Laks V. S. Lakshmanan, Rachel Pottinger
2011	—	`ch.`	Privacy-Preserving Data Mining from Outsourced Databases. Computers, Privacy and Data Protection Fosca Giannotti, Laks V. S. Lakshmanan, Anna Monreale, Dino Pedreschi, Wendy Hui Wang
2011	A*	`conf`	SIMPATH: An Efficient Algorithm for Influence Maximization under the Linear Threshold Model. ICDM Amit Goyal, Wei Lu, Laks V. S. Lakshmanan
2011	J	`jnl`	TopRecs IEEE Data Eng. Bull. Mohammad Khabbaz, Min Xie, Laks V. S. Lakshmanan
2011	B	`conf`	TopRecs: Top-k algorithms for item-based collaborative filtering. EDBT Mohammad Khabbaz, Laks V. S. Lakshmanan
2011	J	`jnl`	Trajectory anonymity in publishing personal mobility data. SIGKDD Explor. Francesco Bonchi, Laks V. S. Lakshmanan, Wendy Hui Wang
2011	—	`conf`	We challenge you to certify your updates. SIGMOD Conference Su Chen, Xin Luna Dong, Laks V. S. Lakshmanan, Divesh Srivastava
2010	J	`jnl`	Approximation Analysis of Influence Spread in Social Networks CoRR Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan
2010	A	`conf`	Breaking out of the box of recommendations: from items to packages. RecSys Min Xie, Laks V. S. Lakshmanan, Peter T. Wood
2010	J	`jnl`	Data Cleaning and Query Answering with Matching Dependencies and Matching Functions CoRR Leopoldo E. Bertossi, Solmaz Kolahi, Laks V. S. Lakshmanan
2010	C	`conf`	Exploiting Conflict Structures in Inconsistent Databases. ADBIS Solmaz Kolahi, Laks V. S. Lakshmanan
2010	C	`conf`	Fast Katz and Commuters: Efficient Estimation of Social Relatedness in Large Networks. WAW Pooya Esfandiar, Francesco Bonchi, David F. Gleich, Chen Greif, Laks V. S. Lakshmanan, Byung-Won On
2010	J	`jnl`	Foreword. VLDB J. Klemens Böhm, Laks V. S. Lakshmanan
2010	A	`conf`	Learning influence probabilities in social networks. WSDM Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan
2010	—	`ed.`	Proceedings of the 4th Alberto Mendelzon International Workshop on Foundations of Data Management, Buenos Aires, Argentina, May 17-20, 2010 AMW Alberto H. F. Laender, Laks V. S. Lakshmanan
2010	J	`jnl`	Schema mapping and query translation in heterogeneous P2P XML databases. VLDB J. Angela Bonifati, Elaine Qing Chang, Terence Ho, Laks V. S. Lakshmanan, Rachel Pottinger, Yongik Chung
2010	J	`jnl`	Selected papers from the Logic in Databases Workshop 2008. J. Appl. Log. Andrea Calì, Laks V. S. Lakshmanan, Davide Martinenghi
2009	B	`conf`	Anonymizing moving objects: how to hide a MOB in a crowd? EDBT Roman Yarovoy, Francesco Bonchi, Laks V. S. Lakshmanan, Wendy Hui Wang
2009	J	`jnl`	Battling Predictability and Overconcentration in Recommender Systems. IEEE Data Eng. Bull. Sihem Amer-Yahia, Laks V. S. Lakshmanan, Sergei Vassilvitskii, Cong Yu
2009	A*	`conf`	Discovering Conditional Functional Dependencies. ICDE Wenfei Fan, Floris Geerts, Laks V. S. Lakshmanan, Ming Xiong
2009	A	`conf`	Getting recommender systems to think outside the box. RecSys Zeinab Abbassi, Sihem Amer-Yahia, Laks V. S. Lakshmanan, Sergei Vassilvitskii, Cong Yu
2009	A*	`conf`	GuruMine: A Pattern Mining System for Discovering Leaders and Tribes. ICDE Amit Goyal, Byung-Won On, Francesco Bonchi, Laks V. S. Lakshmanan
2009	B	`conf`	It takes variety to make a world: diversification in recommender systems. EDBT Cong Yu, Laks V. S. Lakshmanan, Sihem Amer-Yahia
2009	J	`jnl`	Logic in databases: report on the LID 2008 workshop. SIGMOD Rec. Andrea Calì, Laks V. S. Lakshmanan, Davide Martinenghi
2009	A*	`conf`	On Efficient Recommendations for Online Exchange Markets. ICDE Zeinab Abbassi, Laks V. S. Lakshmanan
2009	A	`conf`	On approximating optimum repairs for functional dependency violations. ICDT Solmaz Kolahi, Laks V. S. Lakshmanan
2009	J	`jnl`	On domination game analysis for microeconomic data mining. ACM Trans. Knowl. Discov. Data Zhenjie Zhang, Laks V. S. Lakshmanan, Anthony K. H. Tung
2009	A*	`conf`	Recommendation Diversification Using Explanations. ICDE Cong Yu, Laks V. S. Lakshmanan, Sihem Amer-Yahia
2009	J	`jnl`	SocialScope: Enabling Information Discovery on Social Content Sites CoRR Sihem Amer-Yahia, Laks V. S. Lakshmanan, Cong Yu
2009	A	`conf`	SocialScope: Enabling Information Discovery on Social Content Sites. CIDR Sihem Amer-Yahia, Laks V. S. Lakshmanan, Cong Yu
2009	—	`ch.`	XML Tree Pattern, XML Twig Query. Encyclopedia of Database Systems Laks V. S. Lakshmanan
2008	A	`conf`	Discovering leaders from community actions. CIKM Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan
2008	J	`jnl`	Efficient network aware search in collaborative tagging sites. Proc. VLDB Endow. Sihem Amer-Yahia, Michael Benedikt, Laks V. S. Lakshmanan, Julia Stoyanovich
2008	A*	`conf`	Offline matching approximation algorithms in exchange markets. WWW Zeinab Abbassi, Laks V. S. Lakshmanan
2008	J	`jnl`	On disclosure risk analysis of anonymized itemsets in the presence of prior knowledge. ACM Trans. Knowl. Discov. Data Laks V. S. Lakshmanan, Raymond T. Ng, Ganesh Ramesh
2008	—	`conf`	Personalizing XML Full Text Search in PIMENTO. Ranked XML Querying Irini Fundulaki, Sihem Amer-Yahia, Laks V. S. Lakshmanan
2008	A*	`conf`	What-if OLAP Queries with Changing Dimensions. ICDE Laks V. S. Lakshmanan, Alexander Russakovsky, Vaishnavi Sashikanth
2007	A*	`conf`	Complex Group-By Queries for XML. ICDE Chaitanya Gokhale, Nitin Gupta, Pranav Kumar, Laks V. S. Lakshmanan, Raymond T. Ng, B. Aditya Prakash
2007	—	`ch.`	Optimizing Tree Pattern Queries over Secure XML Databases. Secure Data Management in Decentralized Systems Wendy Hui Wang, Divesh Srivastava, Laks V. S. Lakshmanan, SungRan Cho, Sihem Amer-Yahia
2007	A*	`conf`	Personalizing XML Search in PIMENTO. ICDE Sihem Amer-Yahia, Irini Fundulaki, Laks V. S. Lakshmanan
2007	A*	`conf`	Preservation Of Patterns and Input-Output Privacy. ICDE Shaofeng Bu, Laks V. S. Lakshmanan, Raymond T. Ng, Ganesh Ramesh
2007	A*	`conf`	X ICDE Nuwee Wiwatwattana, H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava
2006	J	`jnl`	An Erratum on "Pushing Convertible Constraints in Frequent Itemset Mining". Data Min. Knowl. Discov. Jian Pei, Jiawei Han, Laks V. S. Lakshmanan
2006	A*	`conf`	Answering Tree Pattern Queries Using Views. VLDB Laks V. S. Lakshmanan, Wendy Hui Wang, Zheng (Jessica) Zhao
2006	A*	`conf`	Efficient Secure Query Evaluation over Encrypted XML Databases. VLDB Wendy Hui Wang, Laks V. S. Lakshmanan
2006	J	`jnl`	Expressive power of an algebra for data mining. ACM Trans. Database Syst. Toon Calders, Laks V. S. Lakshmanan, Raymond T. Ng, Jan Paredaens
2006	A*	`conf`	Making Designer Schemas with Colors. ICDE Nuwee Wiwatwattana, H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava
2006	—	`conf`	Probabilistic privacy analysis of published views. WPES Wendy Hui Wang, Laks V. S. Lakshmanan
2006	Misc	`ed.`	Proceedings of the 13th International Conference on Management of Data, December 14-16, 2006, Delhi, India COMAD Laks V. S. Lakshmanan, Prasan Roy, Anthony K. H. Tung
2005	A*	`conf`	HePToX: Marrying XML and Heterogeneity in Your P2P Databases. VLDB Angela Bonifati, Elaine Qing Chang, Terence Ho, Laks V. S. Lakshmanan, Rachel Pottinger
2005	J	`jnl`	HepToX: Heterogeneous Peer to Peer XML Databases CoRR Angela Bonifati, Elaine Qing Chang, Terence Ho, Laks V. S. Lakshmanan
2005	A*	`conf`	MDL Summarization with Holes. VLDB Shaofeng Bu, Laks V. S. Lakshmanan, Raymond T. Ng
2005	A*	`conf`	Personalizing XML Text Search in PimenT. VLDB Sihem Amer-Yahia, Irini Fundulaki, Prateek Jain, Laks V. S. Lakshmanan
2005	—	`conf`	To Do or Not To Do: The Dilemma of Disclosing Anonymized Data. SIGMOD Conference Laks V. S. Lakshmanan, Raymond T. Ng, Ganesh Ramesh
2004	J	`jnl`	A compressed accessibility map for XML. ACM Trans. Database Syst. Ting Yu, Divesh Srivastava, Laks V. S. Lakshmanan, H. V. Jagadish
2004	—	`conf`	Colorful XML: One Hierarchy Isn't Enough. SIGMOD Conference H. V. Jagadish, Laks V. S. Lakshmanan, Monica Scannapieco, Divesh Srivastava, Nuwee Wiwatwattana
2004	J	`jnl`	Extracting relational data from HTML repositories. SIGKDD Explor. Ruth Yuee Zhang, Laks V. S. Lakshmanan, Ruben H. Zamar
2004	—	`conf`	FleXPath: Flexible Structure and Full-Text Querying for XML. SIGMOD Conference Sihem Amer-Yahia, Laks V. S. Lakshmanan, Shashank Pandit
2004	A*	`conf`	On Testing Satisfiability of Tree Pattern Queries. VLDB Laks V. S. Lakshmanan, Ganesh Ramesh, Wendy Hui Wang, Zheng (Jessica) Zhao
2004	J	`jnl`	Pushing Convertible Constraints in Frequent Itemset Mining. Data Min. Knowl. Discov. Jian Pei, Jiawei Han, Laks V. S. Lakshmanan
2004	—	`conf`	Tree Logical Classes for Efficient Evaluation of XQuery. SIGMOD Conference Stelios Paparizos, Yuqing Wu, Laks V. S. Lakshmanan, H. V. Jagadish
2003	A*	`conf`	Efficacious Data Cube Exploration by Semantic Summarization and Compression. VLDB Laks V. S. Lakshmanan, Jian Pei, Yan Zhao
2003	J	`jnl`	Efficient OLAP query processing in distributed data warehouses. Inf. Syst. Michael O. Akinde, Michael H. Böhlen, Theodore Johnson, Laks V. S. Lakshmanan, Divesh Srivastava
2003	J	`jnl`	Efficient dynamic mining of constrained frequent sets. ACM Trans. Database Syst. Laks V. S. Lakshmanan, Carson Kai-Sang Leung, Raymond T. Ng
2003	A*	`conf`	From Tree Patterns to Generalized Tree Patterns: On Efficient Evaluation of XQuery. VLDB Zhimin Chen, H. V. Jagadish, Laks V. S. Lakshmanan, Stelios Paparizos
2003	J	`jnl`	Information Integration and the Semantic Web. IEEE Data Eng. Bull. Laks V. S. Lakshmanan, Fereidoon Sadri
2003	Misc	`conf`	Interoperability on XML Data. ISWC Laks V. S. Lakshmanan, Fereidoon Sadri
2003	—	`conf`	LockX: A System for Efficiently Querying Secure XML. SIGMOD Conference SungRan Cho, Sihem Amer-Yahia, Laks V. S. Lakshmanan, Divesh Srivastava
2003	A*	`conf`	Mining unexpected rules by pushing user dynamics. KDD Ke Wang, Yuelong Jiang, Laks V. S. Lakshmanan
2003	J	`jnl`	On A Theory of Probabilistic Deductive Databases CoRR Laks V. S. Lakshmanan, Fereidoon Sadri
2003	—	`conf`	QC-Trees: An Efficient Summary Structure for Semantic OLAP. SIGMOD Conference Laks V. S. Lakshmanan, Jian Pei, Yan Zhao
2003	—	`conf`	SOCQET: Semantic OLAP with Compressed Cube and Summarization. SIGMOD Conference Laks V. S. Lakshmanan, Jian Pei, Yan Zhao
2003	—	`conf`	TIMBER: A Native System for Querying XML. SIGMOD Conference 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	—	`conf`	XML Interoperability. WebDB Laks V. S. Lakshmanan, Fereidoon Sadri
2002	A*	`conf`	Compressed Accessibility Map: Efficient Access Control for XML. VLDB Ting Yu, Divesh Srivastava, Laks V. S. Lakshmanan, H. V. Jagadish
2002	—	`ed.`	Design and Management of Data Warehouses 2002, Proceedings of the 4th Intl. Workshop DMDW'2002, Toronto, Canada, May 27, 2002 DMDW Laks V. S. Lakshmanan
2002	A*	`conf`	Efficient OLAP Query Processing in Distributed Data Warehouse. ICDE Michael O. Akinde, Michael H. Böhlen, Theodore Johnson, Laks V. S. Lakshmanan, Divesh Srivastava
2002	B	`conf`	Efficient OLAP Query Processing in Distributed Data Warehouses. EDBT Michael O. Akinde, Michael H. Böhlen, Theodore Johnson, Laks V. S. Lakshmanan, Divesh Srivastava
2002	J	`jnl`	Exploiting succinct constraints using FP-trees. SIGKDD Explor. Carson Kai-Sang Leung, Laks V. S. Lakshmanan, Raymond T. Ng
2002	—	`conf`	Grouping in XML. EDBT Workshops Stelios Paparizos, Shurug Al-Khalifa, H. V. Jagadish, Laks V. S. Lakshmanan, Andrew Nierman, Divesh Srivastava, Yuqing Wu
2002	B	`conf`	On Efficient Matching of Streaming XML Documents and Queries. EDBT Laks V. S. Lakshmanan, Sailaja Parthasarathy
2002	A*	`conf`	Optimizing the Secure Evaluation of Twig Queries. VLDB SungRan Cho, Sihem Amer-Yahia, Laks V. S. Lakshmanan, Divesh Srivastava
2002	A*	`conf`	Quotient Cube: How to Summarize the Semantics of a Data Cube. VLDB Laks V. S. Lakshmanan, Jian Pei, Jiawei Han
2002	J	`jnl`	TIMBER: A native XML database. VLDB J. H. V. Jagadish, Shurug Al-Khalifa, Adriane Chapman, Laks V. S. Lakshmanan, Andrew Nierman, Stelios Paparizos, Jignesh M. Patel, Divesh Srivastava, Nuwee Wiwatwattana, Yuqing Wu, Cong Yu
2002	A*	`conf`	The Generalized MDL Approach for Summarization. VLDB Laks V. S. Lakshmanan, Raymond T. Ng, Christine Xing Wang, Xiaodong Zhou, Theodore Johnson
2002	J	`jnl`	Tree pattern query minimization. VLDB J. Sihem Amer-Yahia, SungRan Cho, Laks V. S. Lakshmanan, Divesh Srivastava
2001	J	`jnl`	A Parametric Approach to Deductive Databases with Uncertainty. IEEE Trans. Knowl. Data Eng. Laks V. S. Lakshmanan, Nematollaah Shiri
2001	A	`conf`	Constraint-based clustering in large databases. ICDT Anthony K. H. Tung, Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han
2001	—	`conf`	Minimization of Tree Pattern Queries. SIGMOD Conference Sihem Amer-Yahia, SungRan Cho, Laks V. S. Lakshmanan, Divesh Srivastava
2001	A*	`conf`	Mining Frequent Item Sets with Convertible Constraints. ICDE Jian Pei, Jiawei Han, Laks V. S. Lakshmanan
2001	A*	`conf`	On Dual Mining: From Patterns to Circumstances, and Back. ICDE Gösta Grahne, Laks V. S. Lakshmanan, Xiaohong Wang, Ming Hao Xie
2001	J	`jnl`	On a theory of probabilistic deductive databases. Theory Pract. Log. Program. Laks V. S. Lakshmanan, Fereidoon Sadri
2001	J	`jnl`	Reminiscences on Influential Papers. SIGMOD Rec. Kenneth A. Ross, James R. Hamilton, Laks V. S. Lakshmanan, Limsoon Wong
2001	—	`conf`	Scalable frequent-pattern mining methods: an overview. KDD Tutorials Jiawei Han, Laks V. S. Lakshmanan, Jian Pei
2001	J	`jnl`	SchemaSQL: An extension to SQL for multidatabase interoperability. ACM Trans. Database Syst. Laks V. S. Lakshmanan, Fereidoon Sadri, Subbu N. Subramanian
2001	—	`conf`	TAX: A Tree Algebra for XML. DBPL H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava, Keith Thompson
2000	A*	`conf`	Efficient Mining of Constrained Correlated Sets. ICDE Gösta Grahne, Laks V. S. Lakshmanan, Xiaohong Wang
2000	—	`conf`	Geo-Spatial Clustering with User-Specified Constraints. MDM/KDD Anthony K. H. Tung, Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han
2000	B	`conf`	On Bounding-Schemas for LDAP Directories. EDBT Sihem Amer-Yahia, H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava
2000	A*	`conf`	The 3W Model and Algebra for Unified Data Mining. VLDB Theodore Johnson, Laks V. S. Lakshmanan, Raymond T. Ng
2000	J	`jnl`	The Segment Support Map: Scalable Mining of Frequent Itemsets. SIGKDD Explor. Laks V. S. Lakshmanan, Carson Kai-Sang Leung, Raymond T. Ng
1999	J	`jnl`	Constraint-Based Multidimensional Data Mining. Computer Jiawei Han, Laks V. S. Lakshmanan, Raymond T. Ng
1999	—	`conf`	Exploratory Mining via Constrained Frequent Set Queries. SIGMOD Conference Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han, Teresa Mah
1999	—	`conf`	Interactive Mining of Correlations - A Constraint Perspective. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery Gösta Grahne, Laks V. S. Lakshmanan, Xiaohong Wang
1999	—	`conf`	Interestingness and Pruning of Mined Patterns. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery Devavrat Shah, Laks V. S. Lakshmanan, Krithi Ramamritham, S. Sudarshan
1999	A*	`conf`	On Efficiently Implementing SchemaSQL on an SQL Database System. VLDB Laks V. S. Lakshmanan, Fereidoon Sadri, Subbu N. Subramanian
1999	—	`conf`	On the Difference between Navigating Semi-structured Data and Querying It. DBPL Gösta Grahne, Laks V. S. Lakshmanan
1999	—	`conf`	Optimization of Constrained Frequent Set Queries with 2-variable Constraints. SIGMOD Conference Laks V. S. Lakshmanan, Raymond T. Ng, Jiawei Han, Alex Pang
1999	—	`conf`	Querying Network Directories. SIGMOD Conference H. V. Jagadish, Laks V. S. Lakshmanan, Tova Milo, Divesh Srivastava, Dimitra Vista
1999	—	`conf`	Snakes and Sandwiches: Optimal Clustering Strategies for a Data Warehouse. SIGMOD Conference H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava
1999	—	`conf`	Towards a Toolkit for Data Analysis and Mining. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery Theodore Johnson, Raymond T. Ng, Laks V. S. Lakshmanan
1999	A*	`conf`	What can Hierarchies do for Data Warehouses? VLDB H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava
1998	—	`conf`	Declarative Frameworks for Inheritance. Logics for Databases and Information Systems Laks V. S. Lakshmanan, Krishnaprasad Thirunarayan
1998	J	`jnl`	Editorial. Data Min. Knowl. Discov. Raymond T. Ng, Jiawei Han, Laks V. S. Lakshmanan
1998	—	`conf`	Exploratory Mining and Pruning Optimizations of Constrained Association Rules. SIGMOD Conference Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han, Alex Pang
1998	A*	`conf`	On Query Spreadsheets. ICDE Laks V. S. Lakshmanan, Subbu N. Subramanian, Nita Goyal, Ravi Krishnamurthy
1998	A*	`conf`	nD-SQL: A Multi-Dimensional Language for Interoperability and OLAP. VLDB Frédéric Gingras, Laks V. S. Lakshmanan
1997	A*	`conf`	A Foundation for Multi-dimensional Databases. VLDB Marc Gyssens, Laks V. S. Lakshmanan
1997	—	`conf`	Languages for Multi-database Interoperability. SIGMOD Conference Frédéric Gingras, Laks V. S. Lakshmanan, Iyer N. Subramanian, Despina Papoulis, Nematollaah Shiri
1997	J	`jnl`	Logic and Algebraic Languages for Interoperability in Multidatabase Systems. J. Log. Program. Laks V. S. Lakshmanan, Fereidoon Sadri, Iyer N. Subramanian
1997	J	`jnl`	Preface. Theor. Comput. Sci. Laks V. S. Lakshmanan
1997	J	`jnl`	ProbView: A Flexible Probabilistic Database System. ACM Trans. Database Syst. Laks V. S. Lakshmanan, Nicola Leone, Robert B. Ross, V. S. Subrahmanian
1997	J	`jnl`	Uncertain Deductive Databases: A Hybrid Approach. Inf. Syst. Laks V. S. Lakshmanan, Fereidoon Sadri
1996	—	`conf`	A Declarative Language for Querying and Restructuring the WEB. RIDE-NDS Laks V. S. Lakshmanan, Fereidoon Sadri, Iyer N. Subramanian
1996	—	`conf`	A Parametric Approach to Deductive Databases with Uncertainty. Logic in Databases Laks V. S. Lakshmanan, Nematollaah Shiri
1996	A	`conf`	On Implementing SchemaLog - A Database Programming Language. CIKM Alanoly Andrews, Nematollaah Shiri, Laks V. S. Lakshmanan, Iyer N. Subramanian
1996	A*	`conf`	SchemaSQL - A Language for Interoperability in Relational Multi-Database Systems. VLDB Laks V. S. Lakshmanan, Fereidoon Sadri, Iyer N. Subramanian
1996	A*	`conf`	Tables as a Paradigm for Querying and Restructuring. PODS Marc Gyssens, Laks V. S. Lakshmanan, Iyer N. Subramanian
1995	—	`conf`	A Declarative Semantics for Behavioral Inheritance and Conflict Resolution. ILPS Hasan M. Jamil, Laks V. S. Lakshmanan
1995	—	`conf`	A Declarative System for Multi-database Interoperability. AMAST Laks V. S. Lakshmanan, Iyer N. Subramanian, Despina Papoulis, Nematollaah Shiri
1995	—	`conf`	An Object-Oriented Front-end for Deductive Databases. AMAST Hasan M. Jamil, Laks V. S. Lakshmanan
1995	J	`jnl`	Evaluation of Regular Nonlinear Recursions by Deductive Database Techniques. Inf. Syst. Jiawei Han, Laks V. S. Lakshmanan
1995	A*	`conf`	Pushing Semantics Inside Recursion: A General Framework for Semantic Optimization of Recursive Queries. ICDE Laks V. S. Lakshmanan, Rokia Missaoui
1994	—	`conf`	An Epistemic Foundation for Logic Programming with Uncertainty. FSTTCS Laks V. S. Lakshmanan
1994	J	`jnl`	Intuitionistic Interpretation of Deductive Databases with Incomplete Information. Theor. Comput. Sci. Fangqing Dong, Laks V. S. Lakshmanan
1994	C	`conf`	Modeling Uncertainty in Deductive Databases. DEXA Laks V. S. Lakshmanan, Fereidoon Sadri
1994	—	`conf`	Probabilistic Deductive Databases. ILPS Laks V. S. Lakshmanan, Fereidoon Sadri
1993	—	`conf`	A Deductive Approach to Hypothetical Query Answering. ILPS Fangqing Dong, Laks V. S. Lakshmanan
1993	—	`conf`	A Relational Data Model for Manipulating Probabilistic Knowledge. SOFTEKS Workshop on Incompleteness and Uncertainty in Information Systems Laks V. S. Lakshmanan, Heather L. Johnstone
1993	B	`conf`	Canonical Kripke Models and The Intuitonistic Semantics of Logic Programs (Extended Abstract). LPNMR Fangqing Dong, Laks V. S. Lakshmanan
1993	J	`jnl`	Efficient Parallel Algorithms for Finding Chordless Cycles in Graphs. Parallel Process. Lett. N. Chandrasekharan, Laks V. S. Lakshmanan, Muralidhar Medidi
1993	—	`conf`	Evaluation of Regular Nonlinear Recursive Programs. ILPS Jiawei Han, Laks V. S. Lakshmanan
1993	—	`conf`	Evolution of Intelligent Database Systems: A Personal Perspective. SOFTEKS Workshop on Incompleteness and Uncertainty in Information Systems Laks V. S. Lakshmanan
1993	—	`ed.`	Formal Methods in Databases and Software Engineering, Proceedings of the Workshop on Formal Methods in Databases and Software Engineering, Montreal, Canada, 15-16 May 1992 Formal Methods in Databases and Software Engineering Vangalur S. Alagar, Laks V. S. Lakshmanan, Fereidoon Sadri
1993	A*	`conf`	Homomorphic Tree Embeddings and Their Applications to Recursive Program Optimization LICS Laks V. S. Lakshmanan, Karima Ashraf, Jiawei Han
1993	—	`conf`	On the Logical Foundations of Schema Integration and Evolution in Heterogeneous Database Systems. DOOD Laks V. S. Lakshmanan, Fereidoon Sadri, Iyer N. Subramanian
1992	—	`conf`	Deductive Databases with Incomplete Information. JICSLP Fangqing Dong, Laks V. S. Lakshmanan
1992	—	`conf`	Intuitionistic Interpretation of Deductive Databases with Incomplete Information. Formal Methods in Databases and Software Engineering Fangqing Dong, Laks V. S. Lakshmanan
1992	—	`conf`	On Querying Temporal Deductive Databases. Formal Methods in Databases and Software Engineering Laks V. S. Lakshmanan, Daniel A. Nonen
1992	A*	`conf`	On Semantic Query Optimization in Deductive Databases. ICDE Laks V. S. Lakshmanan, Rokia Missaoui
1992	—	`conf`	Superfiniteness of Query Answers in Deductive Databases: An Automata-Theoretic Approach. FSTTCS Laks V. S. Lakshmanan, Daniel A. Nonen
1991	A*	`conf`	Structural Query Optimization - A uniform Framework for Semantic Query Optimization in Deductive Databases. PODS Laks V. S. Lakshmanan, Héctor J. Hernández