Srinivasan Parthasarathy

365 papers A* 72A 43B 15C 6Misc 9Journal 130Unranked 76

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking Long Roll-outs of Auto-regressive Neural Operators for the Compressible Navier-Stokes Equations with Conserved Quantity Correction. CoRR Sean Current, Chandan Kumar, Datta V. Gaitonde, Srinivasan Parthasarathy
2026	—	`ed.`	Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, KDD 2026, Jeju Island, Korea, August 9-13, 2026 KDD (1) Srinivasan Parthasarathy, David F. Gleich, Xiangliang Zhang, Wee Hyong Tok, Faisal Farooq, Qi He, Ambuj K. Singh, Haixun Wang, Yan Liu
2025	—	`conf`	(CPER) From Guessing to Asking: An Approach to Resolving Persona Knowledge Gap in LLMs during Multi-Turn Conversations. NAACL (Student Research Workshop) Sarvesh Baskar, Manas Gaur, Srinivasan Parthasarathy, Tanmay Tulsidas Verlekar
2025	A*	`conf`	A Generic Framework for Conformal Fairness. ICLR Aditya T. Vadlamani, Anutam Srinivasan, Pranav Maneriker, Ali Payani, Srinivasan Parthasarathy
2025	J	`jnl`	A Generic Framework for Conformal Fairness. CoRR Aditya T. Vadlamani, Anutam Srinivasan, Pranav Maneriker, Ali Payani, Srinivasan Parthasarathy
2025	A*	`conf`	BLB-HGNN: Bag of Little Bootstraps for Training Heterogeneous GNNs. ICDM Aditya T. Vadlamani, Sama Salarian, Saket Gurukar, Srinivasan Parthasarathy
2025	J	`jnl`	Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs. Trans. Mach. Learn. Res. Pranav Maneriker, Aditya T. Vadlamani, Anutam Srinivasan, Yuntian He, Ali Payani, Srinivasan Parthasarathy
2025	—	`conf`	Crisis Observatory: Extracting Credible Signals During a Crisis in the Age of LLMs. ICDM (Workshops) Kuan-Chieh Lo, Pranav Maneriker, Sriram Sai Ganesh, Dominik Winecki, Kelly Garrett, Ayaz Hyder, Arnab Nandi, Valerie L. Shalin, Shannon Bowen, Amit P. Sheth, Srinivasan Parthasarathy
2025	J	`jnl`	DiffER: Categorical Diffusion for Chemical Retrosynthesis. CoRR Sean Current, Ziqi Chen, Daniel Adu-Ampratwum, Xia Ning, Srinivasan Parthasarathy
2025	—	`conf`	FairWAG: Fairness-aware Weighted Aggregation for Graph Learning in a Federated Setting. EAAMO Kuan-Chieh Lo, Yuntian He, Yuze Jiang, Srinivasan Parthasarathy
2025	J	`jnl`	FedCF: Fair Federated Conformal Prediction. CoRR Anutam Srinivasan, Aditya T. Vadlamani, Amin Meghrazi, Srinivasan Parthasarathy
2025	J	`jnl`	From Guessing to Asking: An Approach to Resolving the Persona Knowledge Gap in LLMs during Multi-Turn Conversations. CoRR Sarvesh Baskar, Tanmay Tulsidas Verelakar, Srinivasan Parthasarathy, Manas Gaur
2025	—	`conf`	Interactive Fairness Auditing: Leveraging AVOIR for Dynamic Evaluation and Mitigation. SIGMOD Conference Companion Amin Meghrazi, Pranav Maneriker, Swati Padhee, Srinivasan Parthasarathy
2025	J	`jnl`	MedEqualizer: A Framework Investigating Bias in Synthetic Medical Data and Mitigation via Augmentation. CoRR Sama Salarian, Yue Zhang, Swati Padhee, Srinivasan Parthasarathy
2025	J	`jnl`	Multi-modality meets re-learning: mitigating negative transfer in sequential recommendation. Knowl. Based Syst. Bo Peng, Hanwen Du, Srinivasan Parthasarathy, Xia Ning
2025	J	`jnl`	PURE: policy-guided unbiased REpresentations for structure-constrained molecular generation. J. Cheminformatics Abhor Gupta, Barathi Lenin, Sean Current, Rohit Batra, Balaraman Ravindran, Karthik Raman, Srinivasan Parthasarathy
2025	—	`ed.`	Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, KDD 2025, Toronto ON, Canada, August 3-7, 2025 KDD (2) Luiza Antonie, Jian Pei, Xiaohui Yu, Flavio Chierichetti, Hady W. Lauw, Yizhou Sun, Srinivasan Parthasarathy
2025	—	`ed.`	Proceedings of the Workshop on Knowledge-infused Learning co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Barcelona, Spain, August 26, 2024. KiL@KDD Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy
2025	J	`jnl`	Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains. CoRR Yash Saxena, Ankur Padia, Mandar S. Chaudhary, Kalpa Gunaratna, Srinivasan Parthasarathy, Manas Gaur
2025	J	`jnl`	tt DiffER: categorical diffusion ensembles for single-step chemical retrosynthesis. J. Cheminformatics Sean Current, Ziqi Chen, Daniel Adu-Ampratwum, Xia Ning, Srinivasan Parthasarathy
2024	J	`jnl`	An Online Probabilistic Distributed Tracing System. CoRR M. Toslali, S. Qasim, Srinivasan Parthasarathy, Fábio Oliveira, H. Huang, Gianluca Stringhini, Z. Liu, Ayse K. Coskun
2024	J	`jnl`	Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights. CoRR Pranav Maneriker, Aditya Vadlamani, Anutam Srinivasan, Yuntian He, Ali Payani, Srinivasan Parthasarathy
2024	J	`jnl`	DuMato: An efficient warp-centric subgraph enumeration system for GPU. J. Parallel Distributed Comput. Samuel Ferraz, Vinícius Vitor dos Santos Dias, Carlos H. C. Teixeira, Srinivasan Parthasarathy, George Teodoro, Wagner Meira Jr.
2024	A*	`conf`	FTP: Enabling Fast Beam-Training for Optimal mmWave Beamforming. INFOCOM Wei-Han Chen, Xin Liu, Kannan Srinivasan, Srinivasan Parthasarathy
2024	J	`jnl`	Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks. CoRR Yuntian He, Pranav Maneriker, Anutam Srinivasan, Aditya Vadlamani, Srinivasan Parthasarathy
2024	J	`jnl`	Grounding From an AI and Cognitive Science Lens. IEEE Intell. Syst. Goonmeet Bajaj, Valerie L. Shalin, Srinivasan Parthasarathy, Amit P. Sheth
2024	J	`jnl`	Grounding from an AI and Cognitive Science Lens. CoRR Goonmeet Bajaj, Srinivasan Parthasarathy, Valerie L. Shalin, Amit P. Sheth
2024	A*	`conf`	HORCRUX: Accurate Cross Band Channel Prediction. MobiCom Avishek Banerjee, Xingya Zhao, Vishnu Chhabra, Kannan Srinivasan, Srinivasan Parthasarathy
2024	J	`jnl`	HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs. CoRR Yue Zhang, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
2024	J	`jnl`	Intention enhanced mixed attentive model for session-based recommendation. Data Min. Knowl. Discov. Bo Peng, Srinivasan Parthasarathy, Xia Ning
2024	A*	`conf`	KiL 2024: 4th International Workshop on Knowledge-infused Learning KDD Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy
2024	A*	`conf`	Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain. KDD Amin Karimi Monsefi, Payam Karisani, Mengxi Zhou, Stacey Choi, Nathan Doble, Heng Ji, Srinivasan Parthasarathy, Rajiv Ramnath
2024	J	`jnl`	Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain. CoRR Amin Karimi Monsefi, Payam Karisani, Mengxi Zhou, Stacey Choi, Nathan Doble, Heng Ji, Srinivasan Parthasarathy, Rajiv Ramnath
2024	J	`jnl`	Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation. ACM Trans. Knowl. Discov. Data Bo Peng, Ziqi Chen, Srinivasan Parthasarathy, Xia Ning
2024	J	`jnl`	REASONS: A benchmark for REtrieval and Automated citationS Of scieNtific Sentences using Public and Proprietary LLMs. CoRR Deepa Tilwani, Yash Saxena, Ali Mohammadi, Edward Raff, Amit P. Sheth, Srinivasan Parthasarathy, Manas Gaur
2023	—	`conf`	Efficient Fair Graph Representation Learning Using a Multi-level Framework. WWW (Companion Volume) Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
2023	—	`conf`	FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning. EAAMO Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
2023	—	`conf`	Fast and Optimal Beam Alignment for Off-the-Shelf mmWave Devices. MobiWac Wei-Han Chen, Xin Liu, Kannan Srinivasan, Srinivasan Parthasarathy
2023	Misc	`conf`	Graph Pattern Mining Paradigms: Consolidation and Renewed Bearing. HiPC Vinícius Vitor dos Santos Dias, Samuel Ferraz, Aditya Vadlamani, Mahdi Erfanian, Carlos H. C. Teixeira, Dorgival O. Guedes, Wagner Meira Jr., Srinivasan Parthasarathy
2023	A*	`conf`	HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract). ICDE Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
2023	J	`jnl`	M IEEE Trans. Knowl. Data Eng. Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
2023	J	`jnl`	Modeling Sequences as Star Graphs to Address Over-smoothing in Self-attentive Sequential Recommendation. CoRR Bo Peng, Ziqi Chen, Srinivasan Parthasarathy, Xia Ning
2023	J	`jnl`	Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation. CoRR Bo Peng, Srinivasan Parthasarathy, Xia Ning
2023	A*	`conf`	Online Fairness Auditing through Iterative Refinement. KDD Pranav Maneriker, Codi Burley, Srinivasan Parthasarathy
2023	B	`conf`	PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks. ASONAM Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran, Srinivasan Parthasarathy
2023	J	`jnl`	PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks. CoRR Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran, Srinivasan Parthasarathy
2023	B	`conf`	Poster Paper: Efficient Navigation of Cloud Performance with 'nuffTrace. IC2E S. Qasim, Mert Toslali, Quentin Clark, Srinivasan Parthasarathy, Fábio Oliveira, A. Liu, Gianluca Stringhini, Ayse K. Coskun
2023	J	`jnl`	Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models. CoRR Ziqi Chen, Bo Peng, Srinivasan Parthasarathy, Xia Ning
2023	J	`jnl`	Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation. CoRR Bo Peng, Ben Burns, Ziqi Chen, Srinivasan Parthasarathy, Xia Ning
2022	J	`jnl`	$\mathop {\mathtt {HAM}}$HAM: Hybrid Associations Models for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
2022	J	`jnl`	Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress. Trans. Mach. Learn. Res. Saket Gurukar, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel
2022	A*	`conf`	Context-Enriched Learning Models for Aligning Biomedical Vocabularies at Scale in the UMLS Metathesaurus. WWW Vinh Nguyen, Hong Yung Yip, Goonmeet Bajaj, Thilini Wijesiriwardene, Vishesh Javangula, Srinivasan Parthasarathy, Amit P. Sheth, Olivier Bodenreider
2022	—	`conf`	Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks. Insights@ACL Goonmeet Bajaj, Vinh Nguyen, Thilini Wijesiriwardene, Hong Yung Yip, Vishesh Javangula, Amit P. Sheth, Srinivasan Parthasarathy, Olivier Bodenreider
2022	—	`conf`	FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification. EAAMO Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
2022	J	`jnl`	FairMILE: A Multi-Level Framework for Fair and Scalable Graph Representation Learning. CoRR Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
2022	J	`jnl`	FairMod: Fair Link Prediction and Recommendation via Graph Modification. CoRR Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
2022	J	`jnl`	Knowledge Gaps: A Challenge for Agent-Based Automatic Task Completion. Top. Cogn. Sci. Goonmeet Bajaj, Sean Current, Daniel Schmidt, Bortik Bandyopadhyay, Christopher W. Myers, Srinivasan Parthasarathy
2022	J	`jnl`	Leveraging network representation learning and community detection for analyzing the activity profiles of adolescents. Appl. Netw. Sci. Saket Gurukar, Bethany Boettner, Christopher R. Browning, Catherine A. Calder, Srinivasan Parthasarathy
2022	J	`jnl`	MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. CoRR Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec
2022	J	`jnl`	MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. Proc. VLDB Endow. Saket Gurukar, Nikil Pancha, Andrew Zhai, Eric Kim, Samson Hu, Srinivasan Parthasarathy, Charles Rosenberg, Jure Leskovec
2022	J	`jnl`	Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation. CoRR Bo Peng, Chang-Yu Tai, Srinivasan Parthasarathy, Xia Ning
2022	J	`jnl`	Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation. CoRR Bo Peng, Srinivasan Parthasarathy, Xia Ning
2022	A*	`conf`	Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective. ICDM Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran
2022	J	`jnl`	Scaling Graph Propagation Kernels for Predictive Learning. Frontiers Big Data Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Srinivasan Parthasarathy, Balaraman Ravindran
2022	J	`jnl`	UBERT: A Novel Language Model for Synonymy Prediction at Scale in the UMLS Metathesaurus. CoRR Thilini Wijesiriwardene, Vinh Nguyen, Goonmeet Bajaj, Hong Yung Yip, Vishesh Javangula, Yuqing Mao, Kin Wah Fung, Srinivasan Parthasarathy, Amit P. Sheth, Olivier Bodenreider
2022	J	`jnl`	WebMILE: Democratizing Network Representation Learning at Scale. Proc. VLDB Endow. Yuntian He, Yue Zhang, Saket Gurukar, Srinivasan Parthasarathy
2021	—	`conf`	1st International Workshop on Data Assessment and Readiness for AI. PAKDD (Workshops) Bortik Bandyopadhyay, Sambaran Bandyopadhyay, Srikanta Bedathur, Nitin Gupta, Sameep Mehta, Shashank Mujumdar, Srinivasan Parthasarathy, Hima Patel
2021	J	`jnl`	A deep generative model for molecule optimization via one fragment modification. Nat. Mach. Intell. Ziqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy, Xia Ning
2021	Misc	`conf`	DistMILE: A Distributed Multi-Level Framework for Scalable Graph Embedding. HiPC Yuntian He, Saket Gurukar, Pouya Kousha, Hari Subramoni, Dhabaleswar K. Panda, Srinivasan Parthasarathy
2021	J	`jnl`	Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification. CoRR Sobhan Moosavi, Pravar D. Mahajan, Srinivasan Parthasarathy, Colleen Saunders-Chukwu, Rajiv Ramnath
2021	J	`jnl`	Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus. CoRR Goonmeet Bajaj, Vinh Nguyen, Thilini Wijesiriwardene, Hong Yung Yip, Vishesh Javangula, Srinivasan Parthasarathy, Amit P. Sheth, Olivier Bodenreider
2021	A	`conf`	FACE-KEG: Fact Checking Explained using KnowledgE Graphs. WSDM Nikhita Vedula, Srinivasan Parthasarathy
2021	J	`jnl`	Fairness-aware Summarization for Justified Decision-Making. CoRR Moniba Keymanesh, Tanya Y. Berger-Wolf, Micha Elsner, Srinivasan Parthasarathy
2021	—	`conf`	Iter8: Online Experimentation in the Cloud. SoCC Mert Toslali, Srinivasan Parthasarathy, Fábio Oliveira, Hai Huang, Ayse K. Coskun
2021	—	`conf`	Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision. MedInfo Goonmeet Bajaj, Ugur Kursuncu, Manas Gaur, Usha Lokala, Ayaz Hyder, Srinivasan Parthasarathy, Amit P. Sheth
2021	B	`conf`	LocationTrails: a federated approach to learning location embeddings. ASONAM Saket Gurukar, Srinivasan Parthasarathy, Rajiv Ramnath, Catherine A. Calder, Sobhan Moosavi
2021	A	`conf`	MILE: A Multi-Level Framework for Scalable Graph Embedding. ICWSM Jiongqian Liang, Saket Gurukar, Srinivasan Parthasarathy
2021	A*	`conf`	Open Intent Extraction from Natural Language Interactions (Extended Abstract). IJCAI Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy
2021	J	`jnl`	Privacy Policy Question Answering Assistant: A Query-Guided Extractive Summarization Approach. CoRR Moniba Keymanesh, Micha Elsner, Srinivasan Parthasarathy
2021	—	`conf`	SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis. EMNLP (1) Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy
2021	A*	`conf`	Semi-Supervised Deep Learning for Multiplex Networks. KDD Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran
2021	J	`jnl`	Semi-Supervised Deep Learning for Multiplex Networks. CoRR Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran
2021	J	`jnl`	StyleML: Stylometry with Structure and Multitask Learning for Darkweb Markets. CoRR Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy
2021	—	`conf`	Tritium: A Cross-layer Analytics System for Enhancing Microservice Rollouts in the Cloud. WOC@Middleware Sadie L. Allen, Mert Toslali, Srinivasan Parthasarathy, Fábio Oliveira, Ayse K. Coskun
2021	J	`jnl`	eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket. CoRR Usha Lokala, Francois R. Lamy, Triyasha Ghosh Dastidar, Kaushik Roy, Raminta Daniulaityte, Srinivasan Parthasarathy, Amit P. Sheth
2020	A	`conf`	A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs. SDM Anasua Mitra, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran
2020	A*	`conf`	ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization. KDD Gordon Euhyun Moon, J. Austin Ellis, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan
2020	J	`jnl`	DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings. CoRR Bortik Bandyopadhyay, Pranav Maneriker, Vedang Patel, Saumya Yashmohini Sahai, Ping Zhang, Srinivasan Parthasarathy
2020	A*	`conf`	EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services. IJCAI Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy
2020	J	`jnl`	Graph embedding on biomedical networks: methods, applications and evaluations. Bioinform. Xiang Yue, Zhen Wang, Jingong Huang, Srinivasan Parthasarathy, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Wen Zhang, Ping Zhang, Huan Sun
2020	J	`jnl`	HAM: Hybrid Associations Model with Pooling for Sequential Recommendation. CoRR Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
2020	—	`conf`	HPRA: Hyperedge Prediction using Resource Allocation. WebSci Tarun Kumar, K. Darwin, Srinivasan Parthasarathy, Balaraman Ravindran
2020	J	`jnl`	HPRA: Hyperedge Prediction using Resource Allocation. CoRR Tarun Kumar, K. Darwin, Srinivasan Parthasarathy, Balaraman Ravindran
2020	—	`conf`	How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study. Insights Meghana Moorthy Bhat, Srinivasan Parthasarathy
2020	J	`jnl`	Hypergraph clustering by iteratively reweighted modularity maximization. Appl. Netw. Sci. Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, Balaraman Ravindran
2020	B	`conf`	Interpretable Multi-headed Attention for Abstractive Summarization at Controllable Lengths. COLING Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi, Srinivasan Parthasarathy
2020	—	`conf`	JACKPOT: Online Experimentation of Cloud Microservices. HotCloud Mert Toslali, Srinivasan Parthasarathy, Fábio Oliveira, Ayse K. Coskun
2020	J	`jnl`	M2pht: Mixed Models with Preferences and Hybrid Transitions for Next-Basket Recommendation. CoRR Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
2020	J	`jnl`	Molecule Optimization via Fragment-based Generative Models. CoRR Ziqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy, Xia Ning
2020	A*	`conf`	Open Intent Extraction from Natural Language Interactions. WWW Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy
2020	—	`ed.`	Proceedings of the ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact co-located with 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual) (SIGKDD 2020), San Diego, California, USA, August 24, 2020. KiML@KDD Manas Gaur, Alejandro Jaimes, Fatma Ozcan, Srinivasan Parthasarathy, Sameena Shah, Amit P. Sheth, Biplav Srivastava
2020	A	`conf`	Towards Quantifying the Distance between Opinions. ICWSM Saket Gurukar, Deepak Ajwani, Sourav Dutta, Juho Lauri, Srinivasan Parthasarathy, Alessandra Sala
2020	J	`jnl`	Towards Quantifying the Distance between Opinions. CoRR Saket Gurukar, Deepak Ajwani, Sourav Dutta, Juho Lauri, Srinivasan Parthasarathy, Alessandra Sala
2020	J	`jnl`	Transfer Learning for Abstractive Summarization at Controllable Budgets. CoRR Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi, Srinivasan Parthasarathy
2020	—	`conf`	Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing. CVPR Workshops Goonmeet Bajaj, Bortik Bandyopadhyay, Daniel Schmidt, Pranav Maneriker, Christopher Myers, Srinivasan Parthasarathy
2020	J	`jnl`	Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing. CoRR Goonmeet Bajaj, Bortik Bandyopadhyay, Daniel Schmidt, Pranav Maneriker, Christopher Myers, Srinivasan Parthasarathy
2019	J	`jnl`	A Countrywide Traffic Accident Dataset. CoRR Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Rajiv Ramnath
2019	—	`conf`	A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering. COMPLEX NETWORKS (1) Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, Balaraman Ravindran
2019	A*	`conf`	A Pipeline for Disaster Response and Relief Coordination. SIGIR Pranav Maneriker, Nikhita Vedula, Hussein S. Al-Olimat, Jiayong Liang, Omar El-Khoury, Ethan J. Kubatko, Desheng Liu, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth, Srinivasan Parthasarathy
2019	A*	`conf`	ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation. AAAI Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy
2019	—	`conf`	Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights. SIGSPATIAL/GIS Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Radu Teodorescu, Rajiv Ramnath
2019	J	`jnl`	Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights. CoRR Sobhan Moosavi, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Radu Teodorescu, Rajiv Ramnath
2019	J	`jnl`	An End-to-End Framework for Cold Question Routing in Community Question Answering Services. CoRR Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy
2019	J	`jnl`	Automatic Table completion using Knowledge Base. CoRR Bortik Bandyopadhyay, Xiang Deng, Goonmeet Bajaj, Huan Sun, Srinivasan Parthasarathy
2019	A*	`conf`	BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge. WWW Nikhita Vedula, Pranav Maneriker, Srinivasan Parthasarathy
2019	A*	`conf`	Fast and Efficient Cross Band Channel Prediction Using Machine Learning. MobiCom Arjun Bakshi, Yifan Mao, Kannan Srinivasan, Srinivasan Parthasarathy
2019	—	`conf`	Fractal: A General-Purpose Graph Pattern Mining System. SIGMOD Conference Vinícius Vitor dos Santos Dias, Carlos H. C. Teixeira, Dorgival O. Guedes, Wagner Meira Jr., Srinivasan Parthasarathy
2019	J	`jnl`	Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations. CoRR Xiang Yue, Zhen Wang, Jingong Huang, Srinivasan Parthasarathy, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Wen Zhang, Ping Zhang, Huan Sun
2019	A	`conf`	Henosis: workload-driven small array consolidation and placement for HDF5 applications on heterogeneous data stores. ICS Donghe Kang, Vedang Patel, Ashwati Nair, Spyros Blanas, Yang Wang, Srinivasan Parthasarathy
2019	J	`jnl`	Network Representation Learning: Consolidation and Renewed Bearing. CoRR Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel, Balaraman Ravindran, Srinivasan Parthasarathy
2019	J	`jnl`	PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization. CoRR Gordon Euhyun Moon, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan
2019	A*	`conf`	Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. KDD Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, Rajiv Ramnath
2019	J	`jnl`	Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. CoRR Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, Rajiv Ramnath
2019	—	`conf`	Spread Sampling and Its Applications on Graphs. COMPLEX NETWORKS (1) Yu Wang, Bortik Bandyopadhyay, Vedang Patel, Aniket Chakrabarti, David Sivakoff, Srinivasan Parthasarathy
2019	A*	`conf`	Symmetrization for Embedding Directed Graphs. AAAI Jiankai Sun, Srinivasan Parthasarathy
2019	J	`jnl`	Towards Open Intent Discovery for Conversational Text. CoRR Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy
2019	J	`jnl`	Twitter Watch: Leveraging Social Media to Monitor and Predict Collective-Efficacy of Neighborhoods. CoRR Moniba Keymanesh, Saket Gurukar, Bethany Boettner, Christopher R. Browning, Catherine A. Calder, Srinivasan Parthasarathy
2018	J	`jnl`	ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation. CoRR Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy
2018	—	`conf`	Characterizing I/O optimization opportunities for array-centric applications on HDFS. HPEC Donghe Kang, Vedang Patel, Kalyan Khandrika, Spyros Blanas, Yang Wang, Srinivasan Parthasarathy
2018	J	`jnl`	ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites. CoRR Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy
2018	J	`jnl`	ColdRoute: effective routing of cold questions in stack exchange sites. Data Min. Knowl. Discov. Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti, Charles Siegel, Srinivasan Parthasarathy
2018	—	`conf`	D-record: Disaster Response and Relief Coordination Pipeline. ARIC@SIGSPATIAL Shruti Kar, Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit P. Sheth, Srinivasan Parthasarathy
2018	A	`conf`	Efficient sparse-matrix multi-vector product on GPUs. HPDC Changwan Hong, Aravind Sukumaran-Rajam, Bortik Bandyopadhyay, Jinsung Kim, Süreyya Emre Kurt, Israt Nisa, Shivani Sabhlok, Ümit V. Çatalyürek, Srinivasan Parthasarathy, P. Sadayappan
2018	A*	`conf`	Enriching Taxonomies With Functional Domain Knowledge. SIGIR Nikhita Vedula, Patrick K. Nicholson, Deepak Ajwani, Sourav Dutta, Alessandra Sala, Srinivasan Parthasarathy
2018	—	`conf`	Human-Guided Flood Mapping: From Experts to the Crowd. WWW (Companion Volume) Jiongqian Liang, Peter Jacobs, Srinivasan Parthasarathy
2018	J	`jnl`	Hypergraph Clustering: A Modularity Maximization Approach. CoRR Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, Balaraman Ravindran
2018	J	`jnl`	MILE: A Multi-Level Framework for Scalable Graph Embedding. CoRR Jiongqian Liang, Saket Gurukar, Srinivasan Parthasarathy
2018	J	`jnl`	NetClass: A network-based relational model for document classification. Inf. Sci. Fernando Mourão, Leonardo Rocha, Felipe Viegas, Thiago Salles, Marcos André Gonçalves, Srinivasan Parthasarathy, Wagner Meira Jr.
2018	—	`conf`	Parallel Latent Dirichlet Allocation on GPUs. ICCS (2) Gordon Euhyun Moon, Israt Nisa, Aravind Sukumaran-Rajam, Bortik Bandyopadhyay, Srinivasan Parthasarathy, P. Sadayappan
2018	J	`jnl`	Prioritized Relationship Analysis in Heterogeneous Information Networks. ACM Trans. Knowl. Discov. Data Jiongqian Liang, Deepak Ajwani, Patrick K. Nicholson, Alessandra Sala, Srinivasan Parthasarathy
2018	A	`conf`	QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites. ICWSM Jiankai Sun, Sobhan Moosavi, Rajiv Ramnath, Srinivasan Parthasarathy
2018	J	`jnl`	QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites. CoRR Jiankai Sun, Sobhan Moosavi, Rajiv Ramnath, Srinivasan Parthasarathy
2018	A*	`conf`	Semi-Supervised Community Detection Using Structure and Size. ICDM Arjun Bakshi, Srinivasan Parthasarathy, Kannan Srinivasan
2018	A	`conf`	Semi-supervised Embedding in Attributed Networks with Outliers. SDM Jiongqian Liang, Peter Jacobs, Jiankai Sun, Srinivasan Parthasarathy
2018	J	`jnl`	Symmetrization for Embedding Directed Graphs. CoRR Jiankai Sun, Srinivasan Parthasarathy
2017	B	`conf`	A Pareto Framework for Data Analytics on Heterogeneous Systems: Implications for Green Energy Usage and Performance. ICPP Aniket Chakrabarti, Srinivasan Parthasarathy, Christopher Stewart
2017	A*	`conf`	A Quest to Unravel the Metric Structure Behind Perturbed Networks. SoCG Srinivasan Parthasarathy, David Sivakoff, Minghao Tian, Yusu Wang
2017	J	`jnl`	A quest to unravel the metric structure behind perturbed networks. CoRR Srinivasan Parthasarathy, David Sivakoff, Minghao Tian, Yusu Wang
2017	J	`jnl`	Accelerated Stochastic Quasi-Newton Optimization on Riemann Manifolds. CoRR Anirban Roychowdhury, Srinivasan Parthasarathy
2017	—	`conf`	Adaptive Bayesian Sampling with Monte Carlo EM. NIPS Anirban Roychowdhury, Srinivasan Parthasarathy
2017	J	`jnl`	Adaptive Bayesian Sampling with Monte Carlo EM. CoRR Anirban Roychowdhury, Srinivasan Parthasarathy
2017	A*	`conf`	Analyzing and Visualizing Scalar Fields on Graphs. ICDE Yang Zhang, Yusu Wang, Srinivasan Parthasarathy
2017	J	`jnl`	Analyzing and Visualizing Scalar Fields on Graphs. CoRR Yang Zhang, Yusu Wang, Srinivasan Parthasarathy
2017	—	`ch.`	Biomedical Data Mining, Spatial. Encyclopedia of GIS Keith Marsolo, Michael D. Twa, Mark A. Bullimore, Srinivasan Parthasarathy
2017	—	`conf`	Breaking Cycles In Noisy Hierarchies. WebSci Jiankai Sun, Deepak Ajwani, Patrick K. Nicholson, Alessandra Sala, Srinivasan Parthasarathy
2017	—	`conf`	Emotional and Linguistic Cues of Depression from Social Media. DH Nikhita Vedula, Srinivasan Parthasarathy
2017	A*	`conf`	Fast Change Point Detection on Dynamic Social Networks. IJCAI Yu Wang, Aniket Chakrabarti, David Sivakoff, Srinivasan Parthasarathy
2017	J	`jnl`	Fast Change Point Detection on Dynamic Social Networks. CoRR Yu Wang, Aniket Chakrabarti, David Sivakoff, Srinivasan Parthasarathy
2017	—	`conf`	Hierarchical Change Point Detection on Dynamic Networks. WebSci Yu Wang, Aniket Chakrabarti, David Sivakoff, Srinivasan Parthasarathy
2017	J	`jnl`	Hierarchical Change Point Detection on Dynamic Networks. CoRR Yu Wang, Aniket Chakrabarti, David Sivakoff, Srinivasan Parthasarathy
2017	A*	`conf`	Multimodal Content Analysis for Effective Advertisements on YouTube. ICDM Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy
2017	J	`jnl`	Multimodal Content Analysis for Effective Advertisements on YouTube. CoRR Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy
2017	—	`ch.`	Patterns in Spatiotemporal Data. Encyclopedia of GIS Hui Yang, Srinivasan Parthasarathy
2017	—	`conf`	Predicting Trust Relations Within a Social Network: A Case Study on Emergency Response. WebSci Nikhita Vedula, Srinivasan Parthasarathy, Valerie L. Shalin
2017	A*	`conf`	Role Discovery in Graphs Using Global Features: Algorithms, Applications and a Novel Evaluation Strategy. ICDE Pratik Vinay Gupte, Balaraman Ravindran, Srinivasan Parthasarathy
2017	J	`jnl`	SEANO: Semi-supervised Embedding in Attributed Networks with Outliers. CoRR Jiongqian Liang, Peter Jacobs, Srinivasan Parthasarathy
2017	A*	`conf`	Visualizing Attributed Graphs via Terrain Metaphor. KDD Yang Zhang, Yusu Wang, Srinivasan Parthasarathy
2016	B	`conf`	Connecting Opinions to Opinion-Leaders: A Case Study on Brazilian Political Protests. DSAA Leonardo Rocha, Fernando Mourão, Ramon Vieira, Alan Neves, Dárlinton B. F. Carvalho, Bortik Bandyopadhyay, Srinivasan Parthasarathy, Renato Ferreira
2016	Misc	`conf`	D-STHARk: Evaluating Dynamic Scheduling of Tasks in Hybrid Simulated Architectures. ICCS Leonardo Rocha, Fernando Mourão, Guilherme Andrade, Renato Ferreira, Srinivasan Parthasarathy, Danilo Melo, Sávyo Toledo, Aniket Chakrabarti
2016	—	`conf`	Data Analytics Framework for A Game-based Rehabilitation System. Digital Health Jiongqian Liang, David Fuhry, David Maung, Alexandra Borstad, Roger Crawfis, Lynne V. Gauthier, Arnab Nandi, Srinivasan Parthasarathy
2016	—	`conf`	Green- and heterogeneity-aware partitioning for data analytics. INFOCOM Workshops Aniket Chakrabarti, Srinivasan Parthasarathy, Christopher Stewart
2016	Misc	`conf`	Hierarchical Density-Based Clustering based on GPU Accelerated Data Indexing Strategy. ICCS Danilo Melo, Sávyo Toledo, Fernando Mourão, Rafael Sachetto Oliveira, Guilherme Andrade, Renato Ferreira, Srinivasan Parthasarathy, Leonardo Rocha
2016	—	`conf`	Improving Locality Sensitive Hashing Based Similarity Search and Estimation for Kernels. ECML/PKDD (2) Aniket Chakrabarti, Bortik Bandyopadhyay, Srinivasan Parthasarathy
2016	A	`conf`	Lazy Pipelines: Enhancing quality in approximate computing. DATE Georgios Tziantzioulis, Ali Murat Gok, S. M. Faisal, Nikolaos Hardavellas, Seda Ogrenci Memik, Srinivasan Parthasarathy
2016	A	`conf`	Multi-Domain Manifold Learning for Drug-Target Interaction Prediction. SDM Ruichu Cai, Zhenjie Zhang, Srinivasan Parthasarathy, Anthony K. H. Tung, Zhifeng Hao, Wen Zhang
2016	A	`conf`	Robust Contextual Outlier Detection: Where Context Meets Sparsity. CIKM Jiongqian Liang, Srinivasan Parthasarathy
2016	J	`jnl`	Robust Contextual Outlier Detection: Where Context Meets Sparsity. CoRR Jiongqian Liang, Srinivasan Parthasarathy
2016	A*	`conf`	Robust Monte Carlo Sampling using Riemannian Nosé-Poincaré Hamiltonian Dynamics. ICML Anirban Roychowdhury, Brian Kulis, Srinivasan Parthasarathy
2016	A	`conf`	Topological Graph Sketching for Incremental and Scalable Analytics. CIKM Bortik Bandyopadhyay, David Fuhry, Aniket Chakrabarti, Srinivasan Parthasarathy
2016	A*	`conf`	What Links Alice and Bob?: Matching and Ranking Semantic Patterns in Heterogeneous Networks. WWW Jiongqian Liang, Deepak Ajwani, Patrick K. Nicholson, Alessandra Sala, Srinivasan Parthasarathy
2015	J	`jnl`	A Bayesian Perspective on Locality Sensitive Hashing with Extensions for Kernel Methods. ACM Trans. Knowl. Discov. Data Aniket Chakrabarti, Venu Satuluri, Atreya Srivathsan, Srinivasan Parthasarathy
2015	A	`conf`	Automatic Selection of Sparse Matrix Representation on GPUs. ICS Naser Sedaghati, Te Mu, Louis-Noël Pouchet, Srinivasan Parthasarathy, P. Sadayappan
2015	J	`jnl`	Dynamic inference of social roles in information cascades. Data Min. Knowl. Discov. Sarvenaz Choobdar, Pedro Manuel Pinto Ribeiro, Srinivasan Parthasarathy, Fernando M. A. Silva
2015	—	`conf`	Edge importance identification for energy efficient graph processing. IEEE BigData S. M. Faisal, Georgios Tziantzioulis, Ali Murat Gok, Nikolaos Hardavellas, Seda Ogrenci Memik, Srinivasan Parthasarathy
2015	—	`conf`	GalaxyExplorer: Influence-Driven Visual Exploration of Context-Specific Social Media Interactions. WWW (Companion Volume) Xiaotong Liu, Srinivasan Parthasarathy, Han-Wei Shen, Yifan Hu
2015	—	`conf`	Interactive Tweaking of Text Analytics Dashboards. DNIS Arnab Nandi, Ziqi Huang, Man Cao, Micha Elsner, Lilong Jiang, Srinivasan Parthasarathy, Ramiya Venkatachalam
2015	A*	`conf`	Sequential Hypothesis Tests for Adaptive Locality Sensitive Hashing. WWW Aniket Chakrabarti, Srinivasan Parthasarathy
2015	A*	`conf`	Towards a parameter-free and parallel itemset mining algorithm in linearithmic time. ICDE Gregory Buehrer, Roberto L. de Oliveira Jr., David Fuhry, Srinivasan Parthasarathy
2015	A*	`conf`	b-HiVE: a bit-level history-based error model with value correlation for voltage-scaled integer and floating point units. DAC Georgios Tziantzioulis, Ali Murat Gok, S. M. Faisal, Nikolaos Hardavellas, Seda Ogrenci Memik, Srinivasan Parthasarathy
2014	Misc	`conf`	A fast implementation of MLR-MCL algorithm on multi-core processors. HiPC Qingpeng Niu, Pai-Wei Lai, S. M. Faisal, Srinivasan Parthasarathy, P. Sadayappan
2014	A	`conf`	Component Detection in Directed Networks. CIKM Yu-Keng Shih, Sungmin Kim, Yiye Ruan, Jinxing Cheng, Rohit Kumar, Tao Shi, Srinivasan Parthasarathy
2014	A*	`conf`	Economically-efficient sentiment stream analysis. SIGIR Roberto Lourenço de Oliveira Jr., Adriano Veloso, Adriano C. M. Pereira, Wagner Meira Jr., Renato Ferreira, Srinivasan Parthasarathy
2014	A	`conf`	Fast Sparse Matrix-Vector Multiplication on GPUs for Graph Applications. SC Arash Ashari, Naser Sedaghati, John Eisenlohr, Srinivasan Parthasarathy, P. Sadayappan
2014	—	`conf`	Global graphs: A middleware for large scale graph processing. IEEE BigData S. M. Faisal, Srinivasan Parthasarathy, P. Sadayappan
2014	A	`conf`	On Understanding the Divergence of Online Social Group Discussion. ICWSM Hemant Purohit, Yiye Ruan, David Fuhry, Srinivasan Parthasarathy, Amit P. Sheth
2014	—	`conf`	One, Two, Hash! Counting Hash Tables for Flash Devices. CODS Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy
2014	A	`ed.`	Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014 SDM Mohammed Javeed Zaki, Zoran Obradovic, Pang-Ning Tan, Arindam Banerjee, Chandrika Kamath, Srinivasan Parthasarathy
2014	J	`jnl`	Query reverse engineering. VLDB J. Quoc Trung Tran, Chee Yong Chan, Srinivasan Parthasarathy
2014	J	`jnl`	Sequential Hypothesis Tests for Adaptive Locality Sensitive Hashing. CoRR Aniket Chakrabarti, Srinivasan Parthasarathy
2014	—	`conf`	Simultaneous detection of communities and roles from large networks. COSN Yiye Ruan, Srinivasan Parthasarathy
2013	A*	`conf`	Efficient community detection in large networks using content and links. WWW Yiye Ruan, David Fuhry, Srinivasan Parthasarathy
2013	—	`conf`	Hash in a flash: Hash tables for flash devices. IEEE BigData Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy
2013	—	`conf`	Identifying protein complexes in AP-MS data with negative evidence via soft Markov clustering. BCB Yu-Keng Shih, Srinivasan Parthasarathy
2013	—	`ch.`	Network Clustering. Data Clustering: Algorithms and Applications Srinivasan Parthasarathy, S. M. Faisal
2013	J	`jnl`	PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data. Proc. VLDB Endow. David Fuhry, Yang Zhang, Venu Satuluri, Arnab Nandi, Srinivasan Parthasarathy
2013	A*	`conf`	Scalable all-pairs similarity search in metric spaces. KDD Ye Wang, Ahmed Metwally, Srinivasan Parthasarathy
2013	A*	`conf`	Stratification driven placement of complex data: A framework for distributed data analytics. ICDE Ye Wang, Srinivasan Parthasarathy, P. Sadayappan
2013	J	`jnl`	Summarization via Pattern Utility and Ranking: A Novel Framework for Social Media Data Analytics. IEEE Data Eng. Bull. Xintian Yang, Yiye Ruan, Srinivasan Parthasarathy, Amol Ghoting
2012	A*	`conf`	A framework for summarizing and analyzing twitter feeds. KDD Xintian Yang, Amol Ghoting, Yiye Ruan, Srinivasan Parthasarathy
2012	J	`jnl`	A single source Bioinform. Yu-Keng Shih, Srinivasan Parthasarathy
2012	J	`jnl`	Bayesian Locality Sensitive Hashing for Fast Similarity Search. Proc. VLDB Endow. Venu Satuluri, Srinivasan Parthasarathy
2012	J	`jnl`	Efficient Community Detection in Large Networks using Content and Links CoRR Yiye Ruan, David Fuhry, Srinivasan Parthasarathy
2012	A*	`conf`	Extracting Analyzing and Visualizing Triangle K-Core Motifs within Networks. ICDE Yang Zhang, Srinivasan Parthasarathy
2012	—	`conf`	GADBMS: A Framework for Scalable Array Analytics. SC Companion Tyler Clemons, Srinivasan Parthasarathy, P. Sadayappan
2012	J	`jnl`	Hash in a Flash: Hash Tables for Solid State Devices CoRR Tyler Clemons, S. M. Faisal, Shirish Tatikonda, Charu C. Aggarwal, Srinivasan Parthasarathy
2012	J	`jnl`	Identifying functional modules in interaction networks through overlapping Markov clustering. Bioinform. Yu-Keng Shih, Srinivasan Parthasarathy
2012	J	`jnl`	On the Role of Social Identity and Cohesion in Characterizing Online Social Communities CoRR Hemant Purohit, Yiye Ruan, David Fuhry, Srinivasan Parthasarathy, Amit P. Sheth
2012	J	`jnl`	Scalable global alignment for multiple biological networks. BMC Bioinform. Yu-Keng Shih, Srinivasan Parthasarathy
2011	J	`jnl`	Bayesian Locality Sensitive Hashing for Fast Similarity Search CoRR Venu Satuluri, Srinivasan Parthasarathy
2011	—	`ch.`	Community Discovery in Social Networks: Applications, Methods and Emerging Trends. Social Network Data Analytics Srinivasan Parthasarathy, Yiye Ruan, Venu Satuluri
2011	J	`jnl`	Elastic Fidelity: Trading-off Computational Accuracy for Energy Reduction CoRR Sourya Roy, Tyler Clemons, S. M. Faisal, Ke Liu, Nikos Hardavellas, Srinivasan Parthasarathy
2011	J	`jnl`	Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining CoRR Xintian Yang, Srinivasan Parthasarathy, Ponnuswamy Sadayappan
2011	J	`jnl`	Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining. Proc. VLDB Endow. Xintian Yang, Srinivasan Parthasarathy, P. Sadayappan
2011	—	`conf`	Local graph sparsification for scalable clustering. SIGMOD Conference Venu Satuluri, Srinivasan Parthasarathy, Yiye Ruan
2011	A*	`conf`	Locality Sensitive Outlier Detection: A ranking driven approach. ICDE Ye Wang, Srinivasan Parthasarathy, Shirish Tatikonda
2011	—	`conf`	Scalable multiple global network alignment for biological data. BCB Yu-Keng Shih, Srinivasan Parthasarathy
2011	B	`conf`	Symmetrizations for clustering directed graphs. EDBT Venu Satuluri, Srinivasan Parthasarathy
2010	—	`conf`	A Framework for SQL-Based Mining of Large Graphs on Relational Databases. PAKDD (2) Sriganesh Srihari, Shruti Chandrashekar, Srinivasan Parthasarathy
2010	—	`ch.`	A Survey of Graph Mining Techniques for Biological Datasets. Managing and Mining Graph Data Srinivasan Parthasarathy, Shirish Tatikonda, Duygu Ucar
2010	B	`conf`	A distributed placement service for graph-structured and tree-structured data. PPoPP Gregory Buehrer, Srinivasan Parthasarathy, Shirish Tatikonda
2010	J	`jnl`	Distance-Based Outlier Detection: Consolidation and Renewed Bearing. Proc. VLDB Endow. Gustavo Henrique Orair, Carlos H. C. Teixeira, Ye Wang, Wagner Meira Jr., Srinivasan Parthasarathy
2010	A*	`conf`	Hashing tree-structured data: Methods and applications. ICDE Shirish Tatikonda, Srinivasan Parthasarathy
2010	—	`conf`	Lag Patterns in Time Series Databases. DEXA (2) Dhaval Patel, Wynne Hsu, Mong-Li Lee, Srinivasan Parthasarathy
2010	—	`conf`	Markov clustering of protein interaction networks with improved balance and scalability. BCB Venu Satuluri, Srinivasan Parthasarathy, Duygu Ucar
2010	—	`conf`	Parallel and Distributed Data Management. Euro-Par (1) Rizos Sakellariou, Salvatore Orlando, Josep Lluís Larriba-Pey, Srinivasan Parthasarathy, Demetrios Zeinalipour-Yazti
2010	Misc	`ed.`	Proceedings of the 16th International Conference on Management of Data, 2010, Nagpur, India COMOD P. Sreenivasa Kumar, Srinivasan Parthasarathy, Shantanu Godbole
2009	A*	`conf`	A viewpoint-based approach for interaction graph analysis. KDD Sitaram Asur, Srinivasan Parthasarathy
2009	J	`jnl`	An event-based framework for characterizing the evolutionary behavior of interaction graphs. ACM Trans. Knowl. Discov. Data Sitaram Asur, Srinivasan Parthasarathy, Duygu Ucar
2009	—	`conf`	Anomaly detection and spatio-temporal analysis of global climate system. KDD Workshop on Knowledge Discovery from Sensor Data Mahashweta Das, Srinivasan Parthasarathy
2009	J	`jnl`	Letter from the Special Issue Editor. IEEE Data Eng. Bull. Beng Chin Ooi, Srinivasan Parthasarathy
2009	J	`jnl`	Mining Tree-Structured Data on Multicore Systems. Proc. VLDB Endow. Shirish Tatikonda, Srinivasan Parthasarathy
2009	—	`conf`	Mutual Information Based Extrinsic Similarity for Microarray Analysis. BICoB Duygu Ucar, Fatih Altiparmak, Hakan Ferhatosmanoglu, Srinivasan Parthasarathy
2009	J	`jnl`	Predicting functionality of protein-DNA interactions by integrating diverse evidence. Bioinform. Duygu Ucar, Andreas Beyer, Srinivasan Parthasarathy, Christopher T. Workman
2009	—	`conf`	Query by output. SIGMOD Conference Quoc Trung Tran, Chee-Yong Chan, Srinivasan Parthasarathy
2009	A*	`conf`	Scalable graph clustering using stochastic flows: applications to community discovery. KDD Venu Satuluri, Srinivasan Parthasarathy
2009	J	`jnl`	Similarity Search on Bregman Divergence: Towards Non-Metric Indexing. Proc. VLDB Endow. Zhenjie Zhang, Beng Chin Ooi, Srinivasan Parthasarathy, Anthony K. H. Tung
2008	A*	`conf`	A visual-analytic toolkit for dynamic interaction graphs. KDD Xintian Yang, Sitaram Asur, Srinivasan Parthasarathy, Sameep Mehta
2008	B	`conf`	An adaptive memory conscious approach for mining frequent trees: implications for multi-core architectures. PPoPP Shirish Tatikonda, Srinivasan Parthasarathy
2008	—	`ch.`	Architecture Conscious Data Mining. Next Generation of Data Mining Srinivasan Parthasarathy, Shirish Tatikonda, Gregory Buehrer, Amol Ghoting
2008	J	`jnl`	Biological data mining. Sci. Program. Mohammed Javeed Zaki, Naren Ramakrishnan, Srinivasan Parthasarathy
2008	—	`ch.`	Biomedical Data Mining, Spatial. Encyclopedia of GIS Keith Marsolo, Michael D. Twa, Mark Bullimore, Srinivasan Parthasarathy
2008	—	`conf`	CSV: visualizing and mining cohesive subgraphs. SIGMOD Conference Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, Anthony K. H. Tung
2008	A	`conf`	Data mining on the cell broadband engine. ICS Gregory Buehrer, Srinivasan Parthasarathy, Matthew Goyder
2008	J	`jnl`	Fast mining of distance-based outliers in high-dimensional datasets. Data Min. Knowl. Discov. Amol Ghoting, Srinivasan Parthasarathy, Matthew Eric Otey
2008	A	`conf`	Global trees: a framework for linked data structures on distributed memory parallel systems. SC D. Brian Larkins, James Dinan, Sriram Krishnamoorthy, Srinivasan Parthasarathy, Atanas Rountev, P. Sadayappan
2008	J	`jnl`	Guest editorial. Stat. Anal. Data Min. Srinivasan Parthasarathy, Bing Liu
2008	J	`jnl`	On the use of structure and sequence-based features for protein classification and retrieval. Knowl. Inf. Syst. Keith Marsolo, Srinivasan Parthasarathy
2008	—	`ch.`	Patterns in Spatio-temporal Data. Encyclopedia of GIS Hui Yang, Srinivasan Parthasarathy
2007	—	`ch.`	A Survey of Distributed Mining of Data Streams. Data Streams - Models and Algorithms Srinivasan Parthasarathy, Amol Ghoting, Matthew Eric Otey
2007	J	`jnl`	A spatio-temporal mining approach towards summarizing and analyzing protein folding trajectories. Algorithms Mol. Biol. Hui Yang, Srinivasan Parthasarathy, Duygu Ucar
2007	—	`conf`	An ensemble framework for clustering protein-protein interaction networks. ISMB/ECCB (Supplement of Bioinformatics) Sitaram Asur, Duygu Ucar, Srinivasan Parthasarathy
2007	A*	`conf`	An event-based framework for characterizing the evolutionary behavior of interaction graphs. KDD Sitaram Asur, Srinivasan Parthasarathy, Duygu Ucar
2007	J	`jnl`	Cache-conscious frequent pattern mining on modern and emerging processors. VLDB J. Amol Ghoting, Gregory Buehrer, Srinivasan Parthasarathy, Daehyun Kim, Anthony D. Nguyen, Yen-Kuang Chen, Pradeep Dubey
2007	J	`jnl`	Construction of a reference gene association network from multiple profiling data: application to data analysis. Bioinform. Duygu Ucar, Isaac Neuhaus, Petra Ross-MacDonald, Charles Tilford, Srinivasan Parthasarathy, Nathan O. Siemers, Rui-Ru Ji
2007	A*	`conf`	Data mining at the crossroads: successes, failures and learning from them. KDD Srinivasan Parthasarathy
2007	A	`conf`	Knowledge and Cache Conscious Algorithm Design and Systems Support for Data Mining Algorithms. IPDPS Amol Ghoting, Gregory Buehrer, Matthew Goyder, Shirish Tatikonda, Xi Zhang, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz
2007	A*	`conf`	LCS-TRIM: Dynamic Programming Meets XML Indexing and Querying. VLDB Shirish Tatikonda, Srinivasan Parthasarathy, Matthew Goyder
2007	A*	`conf`	Local Probabilistic Models for Link Prediction. ICDM Chao Wang, Venu Satuluri, Srinivasan Parthasarathy
2007	J	`jnl`	Spatial Modeling and Classification of Corneal Shape. IEEE Trans. Inf. Technol. Biomed. Keith Marsolo, Michael D. Twa, Mark Bullimore, Srinivasan Parthasarathy
2007	B	`conf`	Toward terabyte pattern mining: an architecture-conscious solution. PPoPP Gregory Buehrer, Srinivasan Parthasarathy, Shirish Tatikonda, Tahsin M. Kurç, Joel H. Saltz
2006	B	`conf`	A Decomposition-Based Probabilistic Framework for Estimating the Selectivity of XML Twig Queries. EDBT Chao Wang, Srinivasan Parthasarathy, Ruoming Jin
2006	—	`conf`	A model-based approach for mining membrane protein crystallization trials. ISMB (Supplement of Bioinformatics) Sitaram Asur, Pichai Raman, Matthew Eric Otey, Srinivasan Parthasarathy
2006	A*	`conf`	Adaptive Parallel Graph Mining for CMP Architectures. ICDM Gregory Buehrer, Srinivasan Parthasarathy, Yen-Kuang Chen
2006	A	`conf`	Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications. IPDPS Xi Zhang, Tahsin M. Kurç, Joel H. Saltz, Srinivasan Parthasarathy
2006	A	`conf`	Dissimilarity Measures for Detecting Hepatotoxicity in Clinical Trial Data. SDM Matthew Eric Otey, Srinivasan Parthasarathy, Donald C. Trost
2006	—	`conf`	Efficient pattern mining on shared memory systems: implications for chip multiprocessor architectures. Memory System Performance and Correctness Gregory Buehrer, Yen-Kuang Chen, Srinivasan Parthasarathy, Anthony D. Nguyen, Amol Ghoting, Daehyun Kim
2006	J	`jnl`	Fast Distributed Outlier Detection in Mixed-Attribute Data Sets. Data Min. Knowl. Discov. Matthew Eric Otey, Amol Ghoting, Srinivasan Parthasarathy
2006	A	`conf`	Fast Mining of Distance-Based Outliers in High Dimensional Datasets. SDM Amol Ghoting, Srinivasan Parthasarathy, Matthew Eric Otey
2006	Misc	`conf`	High Performance Data Mining: Consolidation and Renewed Bearing. COMAD Srinivasan Parthasarathy
2006	A	`conf`	I/O conscious algorithm design and systems support for data analysis on emerging architectures. IPDPS Gregory Buehrer, Amol Ghoting, Xi Zhang, Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz
2006	—	`conf`	Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-Induced Subgraphs. PKDD Duygu Ucar, Sitaram Asur, Ümit V. Çatalyürek, Srinivasan Parthasarathy
2006	—	`conf`	Knowledge-Conscious Data Clustering. PKDD Amol Ghoting, Srinivasan Parthasarathy
2006	—	`conf`	Learning Approximate MRFs from Large Transaction Data. PKDD Chao Wang, Srinivasan Parthasarathy
2006	—	`conf`	Learning Approximate MRFs from Large Transactional Data. SNA@ICML Chao Wang, Srinivasan Parthasarathy
2006	—	`conf`	Mining Spatial and Spatio-Temporal Patterns in Scientific Data. ICDE Workshops Hui Yang, Srinivasan Parthasarathy
2006	J	`jnl`	Mobility control for throughput maximization in ad hoc networks. Wirel. Commun. Mob. Comput. Tamer Nadeem, Srinivasan Parthasarathy
2006	A*	`conf`	On Trajectory Representation for Scientific Features. ICDM Sameep Mehta, Srinivasan Parthasarathy, Raghu Machiraju
2006	A*	`conf`	On the Use of Structure and Sequence-Based Features for Protein Classification and Retrieval. ICDM Keith Marsolo, Srinivasan Parthasarathy
2006	A*	`conf`	Out-of-core frequent pattern mining on a commodity PC. KDD Gregory Buehrer, Srinivasan Parthasarathy, Amol Ghoting
2006	A	`conf`	Robust periodicity detection algorithms. CIKM Srinivasan Parthasarathy, Sameep Mehta, S. Srinivasan
2006	A	`conf`	Structure-based querying of proteins using wavelets. CIKM Keith Marsolo, Srinivasan Parthasarathy, Kotagiri Ramamohanarao
2006	A*	`conf`	Summarizing itemset patterns using probabilistic models. KDD Chao Wang, Srinivasan Parthasarathy
2006	A	`conf`	TRIPS and TIDES: new algorithms for tree mining. CIKM Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç
2006	—	`conf`	Visual Exploration of Spatio-temporal Relationships for Scientific Data. IEEE VAST Bryan Mehta, Srinivasan Parthasarathy, Raghu Machiraju
2005	C	`conf`	A Characterization of Data Mining Workloads on a Modern Processor. DaMoN Amol Ghoting, Gregory Buehrer, Srinivasan Parthasarathy, Daehyun Kim, Anthony D. Nguyen, Yen-Kuang Chen, Pradeep Dubey
2005	B	`conf`	A Model-Based Approach to Visualizing Classification Decisions for Patient Diagnosis. AIME Keith Marsolo, Srinivasan Parthasarathy, Michael D. Twa, Mark Bullimore
2005	C	`conf`	A Multi-Level Approach to SCOP Fold Recognition. BIBE Keith Marsolo, Srinivasan Parthasarathy, Chris H. Q. Ding
2005	A	`conf`	A Services Oriented Framework for Next Generation Data Analysis Centers. IPDPS Huai Wang, Amol Ghoting, Gregory Buehrer, Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kurç, Joel H. Saltz
2005	A*	`conf`	A generalized framework for mining spatio-temporal patterns in scientific data. KDD Hui Yang, Srinivasan Parthasarathy, Sameep Mehta
2005	A*	`conf`	Alternate Representation of Distance Matrices for Characterization of Protein Structure. ICDM Keith Marsolo, Srinivasan Parthasarathy
2005	J	`jnl`	BIOKDD 2005 workshop report. SIGKDD Explor. Srinivasan Parthasarathy, Wei Wang, Mohammed Javeed Zaki
2005	A*	`conf`	Cache-conscious Frequent Pattern Mining on a Modern Processor. VLDB Amol Ghoting, Gregory Buehrer, Srinivasan Parthasarathy, Daehyun Kim, Anthony D. Nguyen, Yen-Kuang Chen, Pradeep Dubey
2005	C	`conf`	Classification of Biomedical Data through Model-Based Spatial Averaging. BIBE Keith Marsolo, Srinivasan Parthasarathy, Michael D. Twa, Mark Bullimore
2005	A	`conf`	Design of a next generation sampling service for large scale data analysis applications. ICS Huai Wang, Srinivasan Parthasarathy, Amol Ghoting, Shirish Tatikonda, Gregory Buehrer, Tahsin M. Kurç, Joel H. Saltz
2005	A*	`conf`	Discovering frequent topological structures from graph datasets. KDD Ruoming Jin, Chao Wang, Dmitrii Polshakov, Srinivasan Parthasarathy, Gagan Agrawal
2005	A	`conf`	Dynamic Classification of Defect Structures in Molecular Dynamics Simulation Data. SDM Sameep Mehta, Steve Barr, Tat-Sang Choy, Hui Yang, Srinivasan Parthasarathy, Raghu Machiraju, John Wilkins
2005	C	`conf`	Effective Pre-Processing Strategies for Functional Clustering of a Protein-Protein Interactions Network. BIBE Duygu Ucar, Srinivasan Parthasarathy, Sitaram Asur, Chao Wang
2005	A*	`conf`	Mining Spatial Object Associations for Scientific Data. IJCAI Hui Yang, Srinivasan Parthasarathy, Sameep Mehta
2005	J	`jnl`	MotifMiner: Efficient discovery of common substructures in biochemical molecules. Knowl. Inf. Syst. Matt Coatney, Srinivasan Parthasarathy
2005	—	`ed.`	Proceedings of the 5th international workshop on Bioinformatics, BIOKDD 2005, Chicago, Illinois, USA, August 21, 2005 BIOKDD Srinivasan Parthasarathy, Wei Wang, Mohammed J. Zaki
2005	J	`jnl`	Toward Unsupervised Correlation Preserving Discretization. IEEE Trans. Knowl. Data Eng. Sameep Mehta, Srinivasan Parthasarathy, Hui Yang
2004	—	`conf`	A New Approach to Protein Structure Mining and Alignment. BIOKDD Hongyuan Li, Keith Marsolo, Srinivasan Parthasarathy, Dmitrii Polshakov
2004	—	`conf`	Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining. PKDD Adriano Veloso, Wagner Meira Jr., Renato Ferreira, Dorgival Olavo Guedes Neto, Srinivasan Parthasarathy
2004	A*	`conf`	Correlation Preserving Discretization. ICDM Sameep Mehta, Srinivasan Parthasarathy, Hui Yang
2004	A	`conf`	Detection and Visualization of Anomalous Structures in Molecular Dynamics Simulation Data. IEEE Visualization Sameep Mehta, Kaden Hazzard, Raghu Machiraju, Srinivasan Parthasarathy, John Wilkins
2004	—	`conf`	Discovering Spatial Relationships Between Approximately Equivalent Patterns in Contact Maps. BIOKDD Keith Marsolo, Hui Yang, Srinivasan Parthasarathy, Sameep Mehta
2004	B	`conf`	Exploiting Recurring Usage Patterns to Enhance Filesystem and Memory Subsystem Performance. PAKDD Benjamin Rutt, Srinivasan Parthasarathy
2004	A	`conf`	Facilitating Interactive Distributed Data Stream Processing and Mining. IPDPS Amol Ghoting, Srinivasan Parthasarathy
2004	Misc	`conf`	Improvements to Response-Surface Based Vehicle Design Using a Feature-Centric Approach. International Conference on Computational Science David S. Thompson, Srinivasan Parthasarathy, Raghu Machiraju, Scott Lawrence
2004	A*	`conf`	LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets. ICDM Amol Ghoting, Matthew Eric Otey, Srinivasan Parthasarathy
2004	A	`conf`	Parallel algorithms for mining frequent structural motifs in scientific data. ICS Chao Wang, Srinivasan Parthasarathy
2004	J	`jnl`	Parallel and distributed methods for incremental frequent itemset mining. IEEE Trans. Syst. Man Cybern. Part B Matthew Eric Otey, Srinivasan Parthasarathy, Chao Wang, Adriano Veloso, Wagner Meira Jr.
2003	B	`conf`	A Slacker Coherence rotocol for Pull-based Monitoring of On-line Data Source. CCGRID Radhakrishnan Sundaresan, Tahsin M. Kurç, Mario Lauria, Srinivasan Parthasarathy, Joel H. Saltz
2003	A	`conf`	Adaptive Polling of Grid Resource Monitors Using a Slacker Coherence Model. HPDC Radhakrishnan Sundaresan, Mario Lauria, Tahsin M. Kurç, Srinivasan Parthasarathy, Joel H. Saltz
2003	A	`conf`	Decision Tree Classification of Spatial Data Patterns from Videokeratography using Zernicke Polynomials. SDM Michael D. Twa, Srinivasan Parthasarathy, Thomas W. Raasch, Mark Bullimore
2003	—	`conf`	Efficient, Accurate and Privacy-Preserving Data Mining for Frequent Itemsets in Distributed Databases. SBBD Adriano Veloso, Wagner Meira Jr., Srinivasan Parthasarathy, Márcio de Carvalho
2003	A	`conf`	Feature Mining Paradigms for Scientific Data. SDM Ming Jiang, Tat-Sang Choy, Sameep Mehta, Matt Coatney, Steve Barr, Kaden Hazzard, David Richie, Srinivasan Parthasarathy, Raghu Machiraju, David S. Thompson, John Wilkins, Boyd Gatlin
2003	A*	`conf`	Mining Frequent Itemsets in Distributed and Dynamic Databases. ICDM Matthew Eric Otey, Chao Wang, Srinivasan Parthasarathy, Adriano Veloso, Wagner Meira Jr.
2003	C	`conf`	MotifMiner: A General Toolkit for Efficiently Identifying Common Substructures in Molecules. BIBE Matt Coatney, Srinivasan Parthasarathy
2003	C	`conf`	New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases. SBAC-PAD Adriano Veloso, Wagner Meira Jr., Srinivasan Parthasarathy
2003	J	`jnl`	On the Use of Conceptual Reconstruction for Mining Massively Incomplete Data Sets. IEEE Trans. Knowl. Data Eng. Srinivasan Parthasarathy, Charu C. Aggarwal
2003	Misc	`conf`	Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets. HiPC Adriano Veloso, Matthew Eric Otey, Srinivasan Parthasarathy, Wagner Meira Jr.
2003	A*	`conf`	Towards NIC-based intrusion detection. KDD Matthew Eric Otey, Srinivasan Parthasarathy, Amol Ghoting, G. Li, Sundeep Narravula, Dhabaleswar K. Panda
2002	A*	`conf`	Efficient Discovery of Common Substructures in Macromolecules. ICDM Srinivasan Parthasarathy, Matt Coatney
2002	A*	`conf`	Efficient Progressive Sampling for Association Rules. ICDM Srinivasan Parthasarathy
2002	—	`conf`	Efficiently Mining Approximate Models of Associations in Evolving Databases. PKDD Adriano Veloso, Bruno Gusmão Rocha, Wagner Meira Jr., Márcio de Carvalho, Srinivasan Parthasarathy, Mohammed Javeed Zaki
2002	A	`conf`	Mining Frequent Itemsets in Evolving Databases. SDM Adriano Veloso, Wagner Meira Jr., Márcio de Carvalho, Bruno Pôssas, Srinivasan Parthasarathy, Mohammed Javeed Zaki
2002	—	`conf`	On the Use of Constrained Associations for Web Log Mining. WebKDD Hui Yang, Srinivasan Parthasarathy
2002	A	`conf`	Parallel Incremental 2D-Discretization on Dynamic Datasets. IPDPS Srinivasan Parthasarathy, Arun Ramakrishnan
2002	J	`jnl`	Shared State for Distributed Interactive Data Mining Applications. Distributed Parallel Databases Srinivasan Parthasarathy, Sandhya Dwarkadas
2001	A*	`conf`	Mining massively incomplete data sets by conceptual reconstruction. KDD Charu C. Aggarwal, Srinivasan Parthasarathy
2001	J	`jnl`	Parallel Data Mining for Association Rules on Shared-Memory Systems. Knowl. Inf. Syst. Srinivasan Parthasarathy, Mohammed Javeed Zaki, Mitsunori Ogihara, Wei Li
2001	A	`conf`	Shared State for Client-Server Mining. SDM Srinivasan Parthasarathy, Sandhya Dwarkadas
2001	A	`conf`	Towards Network-Aware Data Mining. IPDPS Srinivasan Parthasarathy
2000	—	`conf`	Clustering Distributed Homogeneous Datasets. PKDD Srinivasan Parthasarathy, Mitsunori Ogihara
2000	—	`conf`	Exploiting Dataset Similarity for Distributed Mining. IPDPS Workshops Srinivasan Parthasarathy, Mitsunori Ogihara
2000	—	`conf`	InterWeave: A Middleware System for Distributed Shared State. LCR Deqing Chen, Sandhya Dwarkadas, Srinivasan Parthasarathy, Eduardo Pinheiro, Michael L. Scott
1999	—	`conf`	Active Mining in a Distributed Setting. Large-Scale Parallel Data Mining Srinivasan Parthasarathy, Sandhya Dwarkadas, Mitsunori Ogihara
1999	A	`conf`	Incremental and Interactive Sequence Mining. CIKM Srinivasan Parthasarathy, Mohammed Javeed Zaki, Mitsunori Ogihara, Sandhya Dwarkadas
1998	—	`conf`	InterAct: Virtual Sharing for Interactive Client-Server Applications. LCR Srinivasan Parthasarathy, Sandhya Dwarkadas
1998	A*	`conf`	Memory Placement Techniques for Parallel Association Mining. KDD Srinivasan Parthasarathy, Mohammed Javeed Zaki, Wei Li
1997	B	`conf`	A Localized Algorithm for Parallel Association Mining. SPAA Mohammed Javeed Zaki, Srinivasan Parthasarathy, Wei Li
1997	—	`conf`	Arithmetic and logic operations with DNA. DNA Based Computers Vineet Gupta, Srinivasan Parthasarathy, Mohammed J. Zaki
1997	A*	`conf`	Cashmere-2L: Software Coherent Shared Memory on a Clustered Remote-Write Network. SOSP Robert Stets, Sandhya Dwarkadas, Nikos Hardavellas, Galen C. Hunt, Leonidas I. Kontothanassis, Srinivasan Parthasarathy, Michael L. Scott
1997	J	`jnl`	Customized Dynamic Load Balancing for a Network of Workstations. J. Parallel Distributed Comput. Mohammed Javeed Zaki, Wei Li, Srinivasan Parthasarathy
1997	—	`conf`	Evaluation of Sampling for Data Mining of Association Rules. RIDE Mohammed Javeed Zaki, Srinivasan Parthasarathy, Wei Li, Mitsunori Ogihara
1997	A*	`conf`	New Algorithms for Fast Discovery of Association Rules. KDD Mohammed Javeed Zaki, Srinivasan Parthasarathy, Mitsunori Ogihara, Wei Li
1997	J	`jnl`	Parallel Algorithms for Discovery of Association Rules. Data Min. Knowl. Discov. Mohammed Javeed Zaki, Srinivasan Parthasarathy, Mitsunori Ogihara, Wei Li
1997	A*	`conf`	VM-Based Shared Memory on Low-Latency, Remote-Memory-Access Networks. ISCA Leonidas I. Kontothanassis, Galen C. Hunt, Robert Stets, Nikos Hardavellas, Michal Cierniak, Srinivasan Parthasarathy, Wagner Meira Jr., Sandhya Dwarkadas, Michael L. Scott
1996	J	`jnl`	An Efficient Algorithm for Concurrent Priority Queue Heaps. Inf. Process. Lett. Galen C. Hunt, Maged M. Michael, Srinivasan Parthasarathy, Michael L. Scott
1996	—	`conf`	Compile-time inter-query dependence analysis. SPDP Srinivasan Parthasarathy, Wei Li, Michal Cierniak, Mohammed Javeed Zaki
1996	A	`conf`	Customized Dynamic Load Balancing for a Network of Workstations. HPDC Mohammed Javeed Zaki, Wei Li, Srinivasan Parthasarathy
1996	A	`conf`	Parallel Data Mining for Association Rules on Shared-Memory Multi-Processors. SC Mohammed Javeed Zaki, Mitsunori Ogihara, Srinivasan Parthasarathy, Wei Li
1987	A*	`conf`	A color vision system for film thickness determination. ICRA Srinivasan Parthasarathy, Denise Wolf, Evelyn Hu, Susan Hackwood, Gerardo Beni
1986	A*	`conf`	A color vision system for microelectronics: Application to oxide thickness measurements. ICRA Matt Barth, Srinivasan Parthasarathy, Jing Wang, Evelyn Hu, Susan Hackwood, Gerardo Beni