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ORCIDAmbuj K. Singh
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- affiliation: University of California, Santa Barbara, USA
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2020 – today
- 2024
[j63]Kha-Dinh Luong
, Ambuj K. Singh:
Application of Transformers in Cheminformatics. J. Chem. Inf. Model. 64(11): 4392-4409 (2024)- [c152]Aritra Bhowmick, Mert Kosan, Zexi Huang, Ambuj K. Singh, Sourav Medya:
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization. AAAI 2024: 11069-11077 - [c151]Zichen Chen, Jianda Chen, Ambuj K. Singh, Misha Sra:
XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs. EMNLP 2024: 7578-7596 - [c150]Mert Kosan, Samidha Verma, Burouj Armgaan, Khushbu Pahwa, Ambuj K. Singh, Sourav Medya, Sayan Ranu:
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking. ICLR 2024 - [i54]Sean Jaffe, Alexander Davydov, Deniz Lapsekili, Ambuj K. Singh, Francesco Bullo:
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees. CoRR abs/2402.08090 (2024) - [i53]Saurabh Sharma, Ambuj K. Singh:
Electioneering the Network: Dynamic Multi-Step Adversarial Attacks for Community Canvassing. CoRR abs/2403.12399 (2024) - [i52]Danqing Wang, Antonis Antoniades, Kha-Dinh Luong, Edwin Zhang, Mert Kosan, Jiachen Li, Ambuj K. Singh, William Yang Wang, Lei Li:
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning. CoRR abs/2406.13869 (2024) - [i51]Qiming Wu, Zichen Chen, Will Corcoran, Misha Sra, Ambuj K. Singh:
GraphEval2000: Benchmarking and Improving Large Language Models on Graph Datasets. CoRR abs/2406.16176 (2024) - 2023
- [c149]Francesco Seccamonte, Ambuj K. Singh, Francesco Bullo:
Inference of Infrastructure Network Flows via Physics-Inspired Implicit Neural Networks. CCTA 2023: 1040-1045 - [c148]Wei Ye, Omid Askarisichani, Alex T. Jones, Ambuj K. Singh:
Learning Deep Graph Representations via Convolutional Neural Networks (Extended abstract). ICDE 2023: 3831-3832 - [c147]Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant:
Incorporating User's Preference into Attributed Graph Clustering : Extended abstract. ICDE 2023: 3833-3834 - [c146]Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj K. Singh:
Learning Prototype Classifiers for Long-Tailed Recognition. IJCAI 2023: 1360-1368 - [c145]Kha-Dinh Luong, Ambuj K. Singh:
Fragment-based Pretraining and Finetuning on Molecular Graphs. NeurIPS 2023 - [c144]Zexi Huang, Mert Kosan, Sourav Medya, Sayan Ranu, Ambuj K. Singh:
Global Counterfactual Explainer for Graph Neural Networks. WSDM 2023: 141-149 - [e1]Ambuj K. Singh, Yizhou Sun, Leman Akoglu, Dimitrios Gunopulos, Xifeng Yan, Ravi Kumar, Fatma Ozcan, Jieping Ye:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023. ACM 2023 [contents] - [i50]Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj K. Singh:
Learning Prototype Classifiers for Long-Tailed Recognition. CoRR abs/2302.00491 (2023) - [i49]Zichen Chen, Ambuj K. Singh, Misha Sra:
LMExplainer: a Knowledge-Enhanced Explainer for Language Models. CoRR abs/2303.16537 (2023) - [i48]Zexi Huang, Mert Kosan, Arlei Silva, Ambuj K. Singh:
Link Prediction without Graph Neural Networks. CoRR abs/2305.13656 (2023) - [i47]Mert Kosan, Arlei Silva, Ambuj K. Singh:
Robust Ante-hoc Graph Explainer using Bilevel Optimization. CoRR abs/2305.15745 (2023) - [i46]Rhys Tracy, Haotian Xia, Alex Rasla, Yuan-Fang Wang, Ambuj K. Singh:
Graph Encoding and Neural Network Approaches for Volleyball Analytics: From Game Outcome to Individual Play Predictions. CoRR abs/2308.11142 (2023) - [i45]Mert Kosan, Samidha Verma, Burouj Armgaan, Khushbu Pahwa, Ambuj K. Singh, Sourav Medya, Sayan Ranu:
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking. CoRR abs/2310.01794 (2023) - [i44]Kha-Dinh Luong, Ambuj K. Singh:
Fragment-based Pretraining and Finetuning on Molecular Graphs. CoRR abs/2310.03274 (2023) - [i43]Zichen Chen, Jianda Chen, Mitali Gaidhani, Ambuj K. Singh, Misha Sra:
XplainLLM: A QA Explanation Dataset for Understanding LLM Decision-Making. CoRR abs/2311.08614 (2023) - [i42]Sean Jaffe, Ambuj K. Singh, Francesco Bullo:
IDKM: Memory Efficient Neural Network Quantization via Implicit, Differentiable k-Means. CoRR abs/2312.07759 (2023) - [i41]Aritra Bhowmick, Mert Kosan, Zexi Huang, Ambuj K. Singh, Sourav Medya:
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization. CoRR abs/2312.12697 (2023) - 2022
- [j62]Wei Ye, Omid Askarisichani, Alex T. Jones, Ambuj K. Singh:
Learning Deep Graph Representations via Convolutional Neural Networks. IEEE Trans. Knowl. Data Eng. 34(5): 2268-2279 (2022) - [j61]Sourav Medya, Arlei Silva, Ambuj K. Singh:
Approximate Algorithms for Data-Driven Influence Limitation. IEEE Trans. Knowl. Data Eng. 34(6): 2641-2652 (2022) - [c143]Furkan Kocayusufoglu, Arlei Silva, Ambuj K. Singh:
FlowGEN: A Generative Model for Flow Graphs. KDD 2022: 813-823 - [c142]Sikun Lin, Shuyun Tang, Scott T. Grafton, Ambuj K. Singh:
Deep Representations for Time-varying Brain Datasets. KDD 2022: 999-1009 - [c141]Sikun Lin, Thomas Sprague, Ambuj K. Singh:
Mind Reader: Reconstructing complex images from brain activities. NeurIPS 2022 - [c140]Zexi Huang, Arlei Silva, Ambuj K. Singh:
POLE: Polarized Embedding for Signed Networks. WSDM 2022: 390-400 - [c139]Furkan Kocayusufoglu, Tao Wu, Anima Singh, Georgios Roumpos, Heng-Tze Cheng, Sagar Jain, Ed H. Chi, Ambuj K. Singh:
Multi-Resolution Attention for Personalized Item Search. WSDM 2022: 508-516 - [i40]Wei Ye, Francesco Bullo, Noah E. Friedkin, Ambuj K. Singh:
Modeling Human-AI Team Decision Making. CoRR abs/2201.02759 (2022) - [i39]Wei Ye, Zexi Huang, Yunqi Hong, Ambuj K. Singh:
Graph Neural Diffusion Networks for Semi-supervised Learning. CoRR abs/2201.09698 (2022) - [i38]Wei Ye, Jiayi Yang, Sourav Medya, Ambuj K. Singh:
Incorporating Heterophily into Graph Neural Networks for Graph Classification. CoRR abs/2203.07678 (2022) - [i37]Sikun Lin, Shuyun Tang, Scott T. Grafton, Ambuj K. Singh:
Deep Representations for Time-varying Brain Datasets. CoRR abs/2205.11648 (2022) - [i36]Sikun Lin, Thomas Sprague, Ambuj K. Singh:
Mind Reader: Reconstructing complex images from brain activities. CoRR abs/2210.01769 (2022) - [i35]Mert Kosan, Zexi Huang, Sourav Medya, Sayan Ranu, Ambuj K. Singh:
Global Counterfactual Explainer for Graph Neural Networks. CoRR abs/2210.11695 (2022) - 2021
- [j60]Wei Ye, Zhen Wang, Rachel Redberg, Ambuj K. Singh:
Tree++: Truncated Tree Based Graph Kernels. IEEE Trans. Knowl. Data Eng. 33(4): 1778-1789 (2021) - [j59]Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant:
Incorporating User's Preference into Attributed Graph Clustering. IEEE Trans. Knowl. Data Eng. 33(12): 3716-3728 (2021) - [c138]Arlei Silva, Ambuj K. Singh:
Group Testing on a Network. AAAI 2021: 4348-4356 - [c137]Hongyuan You, Sikun Lin, Ambuj K. Singh:
Learning Interpretable Models for Coupled Networks Under Domain Constraints. AAAI 2021: 10727-10736 - [c136]Arlei Lopes da Silva, Furkan Kocayusufoglu, Saber Jafarpour, Francesco Bullo, Ananthram Swami, Ambuj K. Singh:
Combining Physics and Machine Learning for Network Flow Estimation. ICLR 2021 - [c135]Zexi Huang, Arlei Silva, Ambuj K. Singh:
A Broader Picture of Random-walk Based Graph Embedding. KDD 2021: 685-695 - [i34]Hongyuan You, Sikun Lin, Ambuj K. Singh:
Learning Interpretable Models for Coupled Networks Under Domain Constraints. CoRR abs/2104.09069 (2021) - [i33]Zexi Huang, Arlei Silva, Ambuj K. Singh:
POLE: Polarized Embedding for Signed Networks. CoRR abs/2110.09899 (2021) - [i32]Mert Kosan, Arlei Silva, Sourav Medya, Brian Uzzi, Ambuj K. Singh:
Event Detection on Dynamic Graphs. CoRR abs/2110.12148 (2021) - [i31]Zexi Huang, Arlei Silva, Ambuj K. Singh:
A Broader Picture of Random-walk Based Graph Embedding. CoRR abs/2110.12344 (2021) - 2020
- [c134]Sourav Medya, Tianyi Ma, Arlei Silva, Ambuj K. Singh:
A Game Theoretic Approach For k-Core Minimization. AAMAS 2020: 1922-1924 - [c133]Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj K. Singh:
A Game Theoretic Approach For Core Resilience. IJCAI 2020: 3473-3479 - [c132]Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj K. Singh:
GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs. NeurIPS 2020 - [c131]Hongyuan You, Furkan Kocayusufoglu, Ambuj K. Singh:
DANR: Discrepancy-aware Network Regularization. SDM 2020: 208-216 - [i30]Wei Ye, Zhen Wang, Rachel Redberg, Ambuj K. Singh:
Tree++: Truncated Tree Based Graph Kernels. CoRR abs/2002.09846 (2020) - [i29]Wei Ye, Dominik Mautz, Christian Böhm, Ambuj K. Singh, Claudia Plant:
Incorporating User's Preference into Attributed Graph Clustering. CoRR abs/2003.11079 (2020) - [i28]Wei Ye, Omid Askarisichani, Alex T. Jones, Ambuj K. Singh:
DeepMap: Learning Deep Representations for Graph Classification. CoRR abs/2004.02131 (2020) - [i27]Omid Askarisichani, Ambuj K. Singh, Francesco Bullo, Noah E. Friedkin:
The 1995-2018 Global Evolution of the Network of Amicable and Hostile Relations Among Nation-States. CoRR abs/2005.06245 (2020) - [i26]Hongyuan You, Furkan Kocayusufoglu, Ambuj K. Singh:
DANR: Discrepancy-aware Network Regularization. CoRR abs/2006.00409 (2020) - [i25]Omid Askarisichani, Elizabeth Y. Huang, Kekoa S. Sato, Noah E. Friedkin, Francesco Bullo, Ambuj K. Singh:
Expertise and confidence explain how social influence evolves along intellective tasks. CoRR abs/2011.07168 (2020)
2010 – 2019
- 2019
- [j58]Victor Amelkin, Petko Bogdanov, Ambuj K. Singh:
A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks. ACM Trans. Knowl. Discov. Data 13(4): 38:1-38:34 (2019) - [c130]Thomas Schibler, Ambuj K. Singh, Subhash Suri:
On Multi-Dimensional Team Formation. CCCG 2019: 146-152 - [c129]Victor Amelkin, Ambuj K. Singh:
Fighting Opinion Control in Social Networks via Link Recommendation. KDD 2019: 677-685 - [i24]Sourav Medya, Arlei Silva, Ambuj K. Singh:
Influence Minimization Under Budget and Matroid Constraints: Extended Version. CoRR abs/1901.02156 (2019) - [i23]Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj K. Singh:
K-Core Minimization: A Game Theoretic Approach. CoRR abs/1901.02166 (2019) - [i22]Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj K. Singh:
Learning Heuristics over Large Graphs via Deep Reinforcement Learning. CoRR abs/1903.03332 (2019) - [i21]Haraldur Tómas Hallgrímsson, Richika Sharan, Scott T. Grafton, Ambuj K. Singh:
Estimating localized complexity of white-matter wiring with GANs. CoRR abs/1910.04868 (2019) - 2018
- [j57]Haraldur Tómas Hallgrímsson, Matthew Cieslak, Luca Foschini, Scott T. Grafton, Ambuj K. Singh:
Spatial coherence of oriented white matter microstructure: Applications to white matter regions associated with genetic similarity. NeuroImage 172: 390-403 (2018) - [j56]Sourav Medya, Jithin Vachery, Sayan Ranu, Ambuj K. Singh:
Noticeable Network Delay Minimization via Node Upgrades. Proc. VLDB Endow. 11(9): 988-1001 (2018) - [j55]Sourav Medya, Petko Bogdanov, Ambuj K. Singh:
Making a Small World Smaller: Path Optimization in Networks. IEEE Trans. Knowl. Data Eng. 30(8): 1533-1546 (2018) - [c128]Xuan-Hong Dang, Omid Askarisichani, Ambuj K. Singh:
Learning Multiclassifiers with Predictive Features that Vary with Data Distribution. IEEE BigData 2018: 673-682 - [c127]Furkan Kocayusufoglu, Minh X. Hoang, Ambuj K. Singh:
Summarizing Network Processes with Network-Constrained Boolean Matrix Factorization. ICDM 2018: 237-246 - [c126]Sourav Medya, Arlei Silva, Ambuj K. Singh, Prithwish Basu, Ananthram Swami:
Group Centrality Maximization via Network Design. SDM 2018: 126-134 - [c125]Arlei Silva, Ambuj K. Singh, Ananthram Swami:
Spectral Algorithms for Temporal Graph Cuts. WWW 2018: 519-528 - [i20]Haraldur Tómas Hallgrímsson, Matthew Cieslak, Luca Foschini, Scott T. Grafton, Ambuj K. Singh:
Spatial Coherence of Oriented White Matter Microstructure: Applications to White Matter Regions Associated with Genetic Similarity. CoRR abs/1802.05342 (2018) - 2017
- [j54]Ertugrul Necdet Ciftcioglu, Siddharth Pal, Kevin S. Chan, Derya H. Cansever, Ananthram Swami, Ambuj K. Singh, Prithwish Basu:
Topology Design Games and Dynamics in Adversarial Environments. IEEE J. Sel. Areas Commun. 35(3): 628-642 (2017) - [j53]Victor Amelkin, Francesco Bullo, Ambuj K. Singh:
Polar Opinion Dynamics in Social Networks. IEEE Trans. Autom. Control. 62(11): 5650-5665 (2017) - [c124]Alex T. Jones, Noah E. Friedkin, Ambuj K. Singh:
Modeling the Co-evolution of Committee Formation and Awareness Networks in Organizations. COMPLEX NETWORKS 2017: 881-894 - [c123]Victor Amelkin, Petko Bogdanov, Ambuj K. Singh:
A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks. ICDE 2017: 159-162 - [c122]Sourav Medya, Ludmila Cherkasova, Ambuj K. Singh:
Predictive modeling and scalability analysis for large graph analytics. IM 2017: 63-71 - [c121]Xuan-Hong Dang, Hongyuan You, Ambuj K. Singh, Scott T. Grafton:
Subnetwork Mining with Spatial and Temporal Smoothness. SDM 2017: 354-362 - [c120]Minh X. Hoang, Xuan-Hong Dang, Xiang Wu, Zhenyu Yan, Ambuj K. Singh:
GPOP: Scalable Group-level Popularity Prediction for Online Content in Social Networks. WWW 2017: 725-733 - [i19]Sourav Medya, Arlei Silva, Ambuj K. Singh, Prithwish Basu, Ananthram Swami:
Maximizing Coverage Centrality via Network Design: Extended Version. CoRR abs/1702.04082 (2017) - [i18]Arlei Silva, Ambuj K. Singh, Ananthram Swami:
Spectral Algorithms for Temporal Graph Cuts. CoRR abs/1702.04746 (2017) - [i17]Victor Amelkin, Ambuj K. Singh:
Disabling External Influence in Social Networks via Edge Recommendation. CoRR abs/1709.08139 (2017) - 2016
- [j52]Vishwakarma Singh, Bo Zong, Ambuj K. Singh:
Nearest Keyword Set Search in Multi-Dimensional Datasets. IEEE Trans. Knowl. Data Eng. 28(3): 741-755 (2016) - [c119]Minh X. Hoang, Yu Zheng, Ambuj K. Singh:
FCCF: forecasting citywide crowd flows based on big data. SIGSPATIAL/GIS 2016: 6:1-6:10 - [c118]Xuan-Hong Dang, Arlei Silva, Ambuj K. Singh, Ananthram Swami, Prithwish Basu:
Outlier Detection from Network Data with Subnetwork Interpretation. ICDM 2016: 847-852 - [c117]Sourav Medya, Petko Bogdanov, Ambuj K. Singh:
Towards Scalable Network Delay Minimization. ICDM 2016: 1083-1088 - [c116]Arlei Silva, Xuan-Hong Dang, Prithwish Basu, Ambuj K. Singh, Ananthram Swami:
Graph Wavelets via Sparse Cuts. KDD 2016: 1175-1184 - [c115]Ertugrul N. Ciftcioglu, Siddharth Pal, Kevin S. Chan, Derya H. Cansever, Ananthram Swami, Ambuj K. Singh, Prithwish Basu:
Topology design under adversarial dynamics. WiOpt 2016: 274-281 - [i16]Arlei Silva, Ramya Raghavendra, Mudhakar Srivatsa, Ambuj K. Singh:
Prediction-based Online Trajectory Compression. CoRR abs/1601.06316 (2016) - [i15]Arlei Silva, Xuan-Hong Dang, Prithwish Basu, Ambuj K. Singh, Ananthram Swami:
Graph Wavelets via Sparse Cuts. CoRR abs/1602.03320 (2016) - [i14]Sourav Medya, Petko Bogdanov, Ambuj K. Singh:
Towards Scalable Network Delay Minimization. CoRR abs/1609.08228 (2016) - [i13]Xuan-Hong Dang, Arlei Silva, Ambuj K. Singh, Ananthram Swami, Prithwish Basu:
Outlier Detection from Network Data with Subnetwork Interpretation. CoRR abs/1610.00054 (2016) - 2015
- [j51]Bo Zong, Xusheng Xiao, Zhichun Li, Zhenyu Wu, Zhiyun Qian, Xifeng Yan, Ambuj K. Singh, Guofei Jiang:
Behavior Query Discovery in System-Generated Temporal Graphs. Proc. VLDB Endow. 9(4): 240-251 (2015) - [c114]Arlei Silva, Petko Bogdanov, Ambuj K. Singh:
Hierarchical in-network attribute compression via importance sampling. ICDE 2015: 951-962 - [c113]Xuan-Hong Dang, Hongyuan You, Petko Bogdanov, Ambuj K. Singh:
Learning Predictive Substructures with Regularization for Network Data. ICDM 2015: 81-90 - [c112]Bruno Ribeiro, Minh X. Hoang, Ambuj K. Singh:
Beyond Models: Forecasting Complex Network Processes Directly from Data. WWW 2015: 885-895 - [i12]Victor Amelkin, Ambuj K. Singh, Petko Bogdanov:
A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks. CoRR abs/1510.05058 (2015) - [i11]Bo Zong, Xusheng Xiao, Zhichun Li, Zhenyu Wu, Zhiyun Qian, Xifeng Yan, Ambuj K. Singh, Guofei Jiang:
Behavior Query Discovery in System-Generated Temporal Graphs. CoRR abs/1511.05911 (2015) - [i10]Xuan-Hong Dang, Ambuj K. Singh, Petko Bogdanov, Hongyuan You, Bayyuan Hsu:
Discriminative Subnetworks with Regularized Spectral Learning for Global-state Network Data. CoRR abs/1512.06173 (2015) - 2014
- [j50]Petko Bogdanov, Michael Busch, Jeff Moehlis, Ambuj K. Singh, Boleslaw K. Szymanski:
Modeling individual topic-specific behavior and influence backbone networks in social media. Soc. Netw. Anal. Min. 4(1): 204 (2014) - [c111]Bo Zong, Ramya Raghavendra, Mudhakar Srivatsa, Xifeng Yan, Ambuj K. Singh, Kang-Won Lee:
Cloud service placement via subgraph matching. ICDE 2014: 832-843 - [c110]Minh X. Hoang, Ram Ramanathan, Ambuj K. Singh:
Structure and evolution of missed collaborations in large networks. INFOCOM Workshops 2014: 849-854 - [c109]Bo Zong, Yinghui Wu, Jie Song, Ambuj K. Singh, Hasan Çam, Jiawei Han, Xifeng Yan:
Towards scalable critical alert mining. KDD 2014: 1057-1066 - [c108]Dong-Anh Nguyen, Tarek F. Abdelzaher, Steven A. Borbash, Xuan-Hong Dang, Raghu K. Ganti, Ambuj K. Singh, Mudhakar Srivatsa:
On Critical Event Observability Using Social Networks: A Disaster Monitoring Perspective. MILCOM 2014: 1633-1638 - [c107]Xuan-Hong Dang, Ambuj K. Singh, Petko Bogdanov, Hongyuan You, Bayyuan Hsu:
Discriminative Subnetworks with Regularized Spectral Learning for Global-State Network Data. ECML/PKDD (1) 2014: 290-306 - [c106]Sayan Ranu, Minh X. Hoang, Ambuj K. Singh:
Applications of Top-k Representative Queries. SWIM 2014: 40:1-40:2 - [c105]Sayan Ranu, Minh X. Hoang, Ambuj K. Singh:
Answering top-k representative queries on graph databases. SIGMOD Conference 2014: 1163-1174 - [i9]Vishwakarma Singh, Ambuj K. Singh:
Nearest Keyword Set Search in Multi-dimensional Datasets. CoRR abs/1409.3867 (2014) - 2013
- [j49]Brian E. Ruttenberg, Gabriel Luna, Geoffrey P. Lewis, Steven K. Fisher, Ambuj K. Singh:
Quantifying spatial relationships from whole retinal images. Bioinform. 29(7): 940-946 (2013) - [j48]Jian Wu, Ziyu Guan, Qing Zhang, Ambuj K. Singh, Xifeng Yan:
Static and Dynamic Structural Correlations in Graphs. IEEE Trans. Knowl. Data Eng. 25(9): 2147-2160 (2013) - [c104]Petko Bogdanov, Michael Busch, Jeff Moehlis, Ambuj K. Singh, Boleslaw K. Szymanski:
The social media genome: modeling individual topic-specific behavior in social media. ASONAM 2013: 236-242 - [c103]Kathy Macropol, Petko Bogdanov, Ambuj K. Singh, Linda R. Petzold, Xifeng Yan:
I act, therefore I judge: network sentiment dynamics based on user activity change. ASONAM 2013: 396-402 - [c102]Petko Bogdanov, Ambuj K. Singh:
Accurate and scalable nearest neighbors in large networks based on effective importance. CIKM 2013: 1009-1018 - [c101]Nicholas D. Larusso, Ambuj K. Singh:
Efficient tracking and querying for coordinated uncertain mobile objects. ICDE 2013: 182-193 - [c100]Misael Mongiovì, Petko Bogdanov, Ambuj K. Singh:
Mining Evolving Network Processes. ICDM 2013: 537-546 - [c99]Sayan Ranu, Minh X. Hoang, Ambuj K. Singh:
Mining discriminative subgraphs from global-state networks. KDD 2013: 509-517 - [c98]Petko Bogdanov, Ben Baumer, Prithwish Basu, Amotz Bar-Noy, Ambuj K. Singh:
As Strong as the Weakest Link: Mining Diverse Cliques in Weighted Graphs. ECML/PKDD (1) 2013: 525-540 - [c97]Petko Bogdanov, Christos Faloutsos, Misael Mongiovì, Evangelos E. Papalexakis, Razvan Ranca, Ambuj K. Singh:
NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks. SDM 2013: 28-36 - [p4]Nicholas D. Larusso, Ambuj K. Singh:
Sensing for Mobile Objects. Managing and Mining Sensor Data 2013: 299-348 - [i8]Petko Bogdanov, Michael Busch, Jeff Moehlis, Ambuj K. Singh, Boleslaw K. Szymanski:
The Social Media Genome: Modeling Individual Topic-Specific Behavior in Social Media. CoRR abs/1307.0309 (2013) - 2012
- [j47]Kristian Kvilekval, Dmitry V. Fedorov, Utkarsh Gaur, Steve Goff, Nirav C. Merchant, B. S. Manjunath, Ambuj K. Singh:
Bisque: Advances in Bioimage Databases. IEEE Data Eng. Bull. 35(3): 56-64 (2012) - [c96]Vishwakarma Singh, Ambuj K. Singh:
SIMP: accurate and efficient near neighbor search in high dimensional spaces. EDBT 2012: 492-503 - [c95]Sayan Ranu, Ambuj K. Singh:
Indexing and mining topological patterns for drug discovery. EDBT 2012: 562-565 - [c94]Bo Zong, Yinghui Wu, Ambuj K. Singh, Xifeng Yan:
Inferring the Underlying Structure of Information Cascades. ICDM 2012: 1218-1223 - [c93]Misael Mongiovì, Ambuj K. Singh, Xifeng Yan, Bo Zong, Konstantinos Psounis:
Efficient multicasting for delay tolerant networks using graph indexing. INFOCOM 2012: 1386-1394 - [c92]Ambuj K. Singh:
Modeling Complex Diseases Using Discriminative Network Fragments - (Invited Keynote Talk). ISBRA 2012: 249 - [c91]Kathy Macropol, Ambuj K. Singh:
Reachability Analysis and Modeling of Dynamic Event Networks. ECML/PKDD (1) 2012: 442-457 - [c90]Misael Mongiovì, Petko Bogdanov, Razvan Ranca, Ambuj K. Singh, Evangelos E. Papalexakis, Christos Faloutsos:
SigSpot: mining significant anomalous regions from time-evolving networks (abstract only). SIGMOD Conference 2012: 865 - [i7]Bo Zong, Yinghui Wu, Ambuj K. Singh, Xifeng Yan:
Inferring the Underlying Structure of Information Cascades. CoRR abs/1210.3587 (2012) - [i6]Nicholas D. Larusso, Brian E. Ruttenberg, Ambuj K. Singh:
A Latent Parameter Node-Centric Model for Spatial Networks. CoRR abs/1210.4246 (2012) - 2011
- [j46]Kyle C. Chipman, Ambuj K. Singh:
Using Stochastic Causal Trees to Augment Bayesian Networks for Modeling eQTL Datasets. BMC Bioinform. 12: 7 (2011) - [j45]Sayan Ranu, Ambuj K. Singh:
Novel Method for Pharmacophore Analysis by Examining the Joint Pharmacophore Space. J. Chem. Inf. Model. 51(5): 1106-1121 (2011) - [j44]Sayan Ranu, Ambuj K. Singh:
Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions. Proc. VLDB Endow. 5(3): 169-180 (2011) - [j43]Brian E. Ruttenberg, Ambuj K. Singh:
Indexing the Earth Mover's Distance Using Normal Distributions. Proc. VLDB Endow. 5(3): 205-216 (2011) - [c89]Kathy Macropol, Ambuj K. Singh:
Content-based Modeling and Prediction of Information Dissemination. ASONAM 2011: 21-28 - [c88]Nicholas D. Larusso, Ambuj K. Singh:
Synopses for probabilistic data over large domains. EDBT 2011: 389-400 - [c87]Petko Bogdanov, Misael Mongiovì, Ambuj K. Singh:
Mining Heavy Subgraphs in Time-Evolving Networks. ICDM 2011: 81-90 - [c86]Ziyu Guan, Jian Wu, Qing Zhang, Ambuj K. Singh, Xifeng Yan:
Assessing and ranking structural correlations in graphs. SIGMOD Conference 2011: 937-948 - [c85]Roman Vitenberg, Dmitry Zinenko, Kristian Kvilekval, Ambuj K. Singh:
Analyzing Performance of Lease-Based Schemes under Failures. SRDS 2011: 193-202 - [i5]Sayan Ranu, Ambuj K. Singh:
Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions. CoRR abs/1111.7165 (2011) - [i4]Brian E. Ruttenberg, Ambuj K. Singh:
Indexing the Earth Mover's Distance Using Normal Distributions. CoRR abs/1111.7168 (2011) - 2010
- [j42]Kristian Kvilekval, Dmitry V. Fedorov, Boguslaw Obara, Ambuj K. Singh, B. S. Manjunath:
Bisque: a platform for bioimage analysis and management. Bioinform. 26(4): 544-552 (2010) - [j41]Kathy Macropol, Ambuj K. Singh:
Scalable Discovery of Best Clusters on Large Graphs. Proc. VLDB Endow. 3(1): 693-702 (2010) - [j40]Petko Bogdanov, Ambuj K. Singh:
Molecular Function Prediction Using Neighborhood Features. IEEE ACM Trans. Comput. Biol. Bioinform. 7(2): 208-217 (2010) - [j39]Anindya Sarkar, Vishwakarma Singh, Pratim Ghosh, Bangalore S. Manjunath, Ambuj K. Singh:
Efficient and Robust Detection of Duplicate Videos in a Large Database. IEEE Trans. Circuits Syst. Video Technol. 20(6): 870-885 (2010) - [c84]Vishwakarma Singh, Arnab Bhattacharya, Ambuj K. Singh:
Querying spatial patterns. EDBT 2010: 418-429 - [c83]Vishwakarma Singh, Sharath Venkatesha, Ambuj K. Singh:
Geo-clustering of Images with Missing GeoTags. GrC 2010: 420-425 - [c82]Petko Bogdanov, Nicholas D. Larusso, Ambuj K. Singh:
Towards Community Discovery in Signed Collaborative Interaction Networks. ICDM Workshops 2010: 288-295 - [c81]Arnab Bhattacharya, Abhishek Bhowmick, Ambuj K. Singh:
Finding Top-k Similar Pairs of Objects Annotated with Terms from an Ontology. SSDBM 2010: 214-232 - [p3]Huahai He, Ambuj K. Singh:
Query Language and Access Methods for Graph Databases. Managing and Mining Graph Data 2010: 125-160 - [i3]Arnab Bhattacharya, Abhishek Bhowmick, Ambuj K. Singh:
Finding top-k similar pairs of objects annotated with terms from an ontology. CoRR abs/1001.2625 (2010) - [i2]Vishwakarma Singh, Ambuj K. Singh:
Profile Based Sub-Image Search in Image Databases. CoRR abs/1010.1496 (2010)
2000 – 2009
- 2009
- [j38]Orhan Çamoglu, Tolga Can, Ambuj K. Singh:
Accurate and Scalable Techniques for the Complex/Pathway Membership Problem in Protein Networks. Adv. Bioinformatics 2009: 787128:1-787128:9 (2009) - [j37]Kyle C. Chipman, Ambuj K. Singh:
Predicting genetic interactions with random walks on biological networks. BMC Bioinform. 10 (2009) - [j36]Kathy Macropol, Tolga Can, Ambuj K. Singh:
RRW: repeated random walks on genome-scale protein networks for local cluster discovery. BMC Bioinform. 10: 283 (2009) - [j35]Sayan Ranu, Ambuj K. Singh:
Mining Statistically Significant Molecular Substructures for Efficient Molecular Classification. J. Chem. Inf. Model. 49(11): 2537-2550 (2009) - [j34]Ahmet Bulut, Nick Koudas, Anand Meka, Ambuj K. Singh, Divesh Srivastava:
Optimization Techniques for Reactive Network Monitoring. IEEE Trans. Knowl. Data Eng. 21(9): 1343-1357 (2009) - [c80]Sayan Ranu, Ambuj K. Singh:
GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases. ICDE 2009: 844-855 - [i1]Vishwakarma Singh, Arnab Bhattacharya, Ambuj K. Singh:
Finding Significant Subregions in Large Image Databases. CoRR abs/0906.3585 (2009) - 2008
- [j33]Arnab Bhattacharya, Sasha Levy, Adria LeBoeuf, Michelle Gaylord, Leslie Wilson, Ambuj K. Singh, Stuart C. Feinstein:
A general modeling and visualization tool for comparing different members of a group: application to studying tau-mediated regulation of microtubule dynamics. BMC Bioinform. 9 (2008) - [c79]Vebjorn Ljosa, Ambuj K. Singh:
Top-k Spatial Joins of Probabilistic Objects. ICDE 2008: 566-575 - [c78]Huahai He, Ambuj K. Singh:
Graphs-at-a-time: query language and access methods for graph databases. SIGMOD Conference 2008: 405-418 - [c77]Vishwakarma Singh, Arnab Bhattacharya, Ambuj K. Singh:
Efficient Computation of Statistical Significance of Query Results in Databases. SSDBM 2008: 509-516 - 2007
- [c76]Vebjorn Ljosa, Ambuj K. Singh:
APLA: Indexing Arbitrary Probability Distributions. ICDE 2007: 946-955 - [c75]Huahai He, Ambuj K. Singh:
Efficient Algorithms for Mining Significant Substructures in Graphs with Quality Guarantees. ICDM 2007: 163-172 - [c74]Arnab Bhattacharya, Anand Meka, Ambuj K. Singh:
MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models. VLDB 2007: 854-865 - [p2]Ahmet Bulut, Ambuj K. Singh:
Indexing and Querying Data Streams. Data Streams - Models and Algorithms 2007: 237-259 - 2006
- [j32]Orhan Çamoglu, Tolga Can, Ambuj K. Singh:
Integrating multi-attribute similarity networks for robust representation of the protein space. Bioinform. 22(13): 1585-1592 (2006) - [c73]Vebjorn Ljosa, Arnab Bhattacharya, Ambuj K. Singh:
Indexing Spatially Sensitive Distance Measures Using Multi-resolution Lower Bounds. EDBT 2006: 865-883 - [c72]Anand Meka, Ambuj K. Singh:
Distributed Spatial Clustering in Sensor Networks. EDBT 2006: 980-1000 - [c71]Huahai He, Ambuj K. Singh:
Closure-Tree: An Index Structure for Graph Queries. ICDE 2006: 38 - [c70]Vebjorn Ljosa, Arnab Bhattacharya, Ambuj K. Singh:
LB-Index: A Multi-Resolution Index Structure for Images. ICDE 2006: 144 - [c69]Huahai He, Ambuj K. Singh:
GraphRank: Statistical Modeling and Mining of Significant Subgraphs in the Feature Space. ICDM 2006: 885-890 - [c68]Vebjorn Ljosa, Ambuj K. Singh:
Probabilistic Segmentation and Analysis of Horizontal Cells. ICDM 2006: 980-985 - 2005
- [j31]Orhan Çamoglu, Tolga Can, Ambuj K. Singh, Yuan-Fang Wang:
Decision Tree Based Information Integration for Automated Protein Classification. J. Bioinform. Comput. Biol. 3(3): 717-742 (2005) - [c67]Anand Meka, Ambuj K. Singh:
DIST: a distributed spatio-temporal index structure for sensor networks. CIKM 2005: 139-146 - [c66]Ying Feng, Divyakant Agrawal, Amr El Abbadi, Ambuj K. Singh:
Scalable ranking for preference queries. CIKM 2005: 313-314 - [c65]Ambuj K. Singh, Arnab Bhattacharya, Vebjorn Ljosa:
Current Challenges in Bioimage Database Design. CSB Workshops 2005: 375-379 - [c64]Ahmet Bulut, Ambuj K. Singh:
A Unified Framework for Monitoring Data Streams in Real Time. ICDE 2005: 44-55 - [c63]Arnab Bhattacharya, Vebjorn Ljosa, Jia-Yu Pan, Mark R. Verardo, Hyung-Jeong Yang, Christos Faloutsos, Ambuj K. Singh:
ViVo: Visual Vocabulary Construction for Mining Biomedical Images. ICDM 2005: 50-57 - [c62]Ahmet Bulut, Ambuj K. Singh, Roman Vitenberg:
Distributed Data Streams Indexing using Content-Based Routing Paradigm. IPDPS 2005 - [c61]Tolga Can, Orhan Çamoglu, Ambuj K. Singh:
Analysis of protein-protein interaction networks using random walks. BIOKDD 2005: 61-68 - [p1]Ambuj K. Singh:
Scalable Index Structures for Biological Data. Data Mining in Bioinformatics 2005: 275-296 - 2004
- [j30]Tamer Kahveci, Vebjorn Ljosa, Ambuj K. Singh:
Speeding up whole-genome alignment by indexing frequency vectors. Bioinform. 20(13): 2122-2134 (2004) - [j29]Tamer Kahveci, Ambuj K. Singh:
Progressive Searching of Biological Sequences. IEEE Data Eng. Bull. 27(3): 32-39 (2004) - [j28]Orhan Çamoglu, Tamer Kahveci, Ambuj K. Singh:
Index-based Similarity Search for Protein Structure Databases. J. Bioinform. Comput. Biol. 2(1): 99-126 (2004) - [j27]Ambuj K. Singh, B. S. Manjunath, Robert F. Murphy:
A Distributed Database for BioMolecular Images. SIGMOD Rec. 33(2): 65-71 (2004) - [j26]Tamer Kahveci, Ambuj K. Singh:
Optimizing Similarity Search for Arbitrary Length Time Series Queries. IEEE Trans. Knowl. Data Eng. 16(4): 418-433 (2004) - [c60]Kristian Kvilekval, Ambuj K. Singh:
SPREE: Object Prefetching for Mobile Computers. CoopIS/DOA/ODBASE (2) 2004: 1340-1357 - [c59]Tolga Can, Orhan Çamoglu, Ambuj K. Singh, Yuan-Fang Wang:
Automated Protein Classification Using Consensus Decision. CSB 2004: 224-235 - [c58]Roman Vitenberg, Kristian Kvilekval, Ambuj K. Singh:
Increasing Concurrency in Databases Using Program Analysis. ECOOP 2004: 341-363 - [c57]Arnab Bhattacharya, Tolga Can, Tamer Kahveci, Ambuj K. Singh, Yuan-Fang Wang:
ProGreSS: Simultaneous Searching of Protein Databases by Sequence and Structure. Pacific Symposium on Biocomputing 2004: 264-275 - 2003
- [j25]Raimondas Lencevicius, Urs Hölzle, Ambuj K. Singh:
Dynamic Query-Based Debugging of Object-Oriented Programs. Autom. Softw. Eng. 10(1): 39-74 (2003) - [j24]Christian A. Lang, Ambuj K. Singh:
Faster Similarity Search for Multimedia Data Via Query Transformations. Int. J. Image Graph. 3(1): 3-30 (2003) - [j23]Sunil Prabhakar, Divyakant Agrawal, Amr El Abbadi, Ambuj K. Singh, Terence R. Smith:
Browsing and placement of multi-resolution images on parallel disks. Multim. Syst. 8(6): 459-469 (2003) - [j22]Ambuj K. Singh:
Querying and Mining Biological Databases. OMICS 7(1): 7-8 (2003) - [c56]Orhan Çamoglu, Tamer Kahveci, Ambuj K. Singh:
Towards Index-based Similarity Search for Protein Structure Databases. CSB 2003: 148-158 - [c55]Tamer Kahveci, Ambuj K. Singh:
Genome on Demand: Interactive Substring Searching. CSB 2003: 551-552 - [c54]Ahmet Bulut, Roman Vitenberg, Fatih Emekçi, Ambuj K. Singh:
An Adaptive and Scalable Middleware for Distributed Indexing of Data Streams. DBISP2P 2003: 123-137 - [c53]Tamer Kahveci, Christian A. Lang, Ambuj K. Singh:
Joining Massive High-Dimensional Datasets. ICDE 2003: 265-276 - [c52]Ahmet Bulut, Ambuj K. Singh:
SWAT: Hierarchical Stream Summarization in Large Networks. ICDE 2003: 303-314 - [c51]Tamer Kahveci, Ambuj K. Singh:
Fast alignment of large genome databases. ICDE 2003: 768-770 - [c50]Orhan Çamoglu, Tamer Kahveci, Ambuj K. Singh:
PSI: indexing protein structures for fast similarity search. ISMB (Supplement of Bioinformatics) 2003: 81-83 - [c49]Maureen Heymans, Ambuj K. Singh:
Deriving phylogenetic trees from the similarity analysis of metabolic pathways. ISMB (Supplement of Bioinformatics) 2003: 138-146 - [c48]Tamer Kahveci, Ambuj K. Singh:
MAP: Searching Large Genome Databases. Pacific Symposium on Biocomputing 2003: 303-314 - 2002
- [c47]Tamer Kahveci, Ambuj K. Singh, Aliekber Gürel:
An Efficient Index Structure for Shift and Scale Invariant Search of Multi-Attribute Time Sequences. ICDE 2002: 266 - [c46]Christian A. Lang, Ambuj K. Singh:
Accelerating High-Dimensional Nearest Neighbor Queries. SSDBM 2002: 109-118 - [c45]Tamer Kahveci, Ambuj K. Singh, Aliekber Gürel:
Similarity Searching for Multi-Attribute Sequences. SSDBM 2002: 175-184 - 2001
- [j21]Jerry James, Ambuj K. Singh:
Recovering distributed objects. Inf. Process. Lett. 77(2-4): 143-150 (2001) - [c44]Tamer Kahveci, Ambuj K. Singh:
Variable Length Queries for Time Series Data. ICDE 2001: 273-282 - [c43]Jeff Bogda, Ambuj K. Singh:
Can a Shape Analysis Work at Run-time? Java Virtual Machine Research and Technology Symposium 2001 - [c42]Christian A. Lang, Ambuj K. Singh:
Modeling High-Dimensional Index Structures using Sampling. SIGMOD Conference 2001: 389-400 - [c41]Tamer Kahveci, Ambuj K. Singh:
Efficient Index Structures for String Databases. VLDB 2001: 351-360 - 2000
- [j20]Jerry James, Ambuj K. Singh:
Design of the Kan distributed object system. Concurr. Pract. Exp. 12(8): 755-797 (2000) - [c40]Gregory F. Johnson, Ambuj K. Singh:
Stable and fault-tolerant object allocation. PODC 2000: 259-268
1990 – 1999
- 1999
- [j19]Kothuri Venkata Ravi Kanth, Divyakant Agrawal, Amr El Abbadi, Ambuj K. Singh:
Dimensionality Reduction for Similarity Searching in Dynamic Databases. Comput. Vis. Image Underst. 75(1-2): 59-72 (1999) - [c39]Raimondas Lencevicius, Urs Hölzle, Ambuj K. Singh:
Dynamic Query-Based Debugging. ECOOP 1999: 135-160 - [c38]Kothuri Venkata Ravi Kanth, Ambuj K. Singh:
Optimal Dynamic Range Searching in Non-replicating Index Structures. ICDT 1999: 257-276 - [c37]Jerry James, Ambuj K. Singh:
External Logging on a Logical Ring. PODC 1999: 275 - 1998
- [j18]Kothuri Venkata Ravi Kanth, Ambuj K. Singh:
Efficient Dynamic Range Searching Using Data Replication. Inf. Process. Lett. 68(2): 97-105 (1998) - [c36]Kothuri Venkata Ravi Kanth, David Serena, Ambuj K. Singh:
Improved Concurrency Control Techniques For Multi-Dimensional Index Structures. IPPS/SPDP 1998: 580-586 - [c35]Kothuri Venkata Ravi Kanth, Divyakant Agrawal, Ambuj K. Singh:
Dimensionality Reduction for Similarity Searching in Dynamic Databases. SIGMOD Conference 1998: 166-176 - 1997
- [j17]X. Cheng, Ron Dolin, Michael O. Neary, Sunil Prabhakar, Kothuri Venkata Ravi Kanth, Daniel Wu, Divyakant Agrawal, Amr El Abbadi, Michael Freeston, Ambuj K. Singh, Terence R. Smith, Jianwen Su:
Scalable Access Within the Context of Digital Libraries. Int. J. Digit. Libr. 1(4): 358-376 (1997) - [c34]X. Cheng, Ron Dolin, Michael O. Neary, Sunil Prabhakar, Kothuri Venkata Ravi Kanth, Daniel Wu, Divyakant Agrawal, Amr El Abbadi, Michael Freeston, Ambuj K. Singh, Terence R. Smith, Jianwen Su:
Scalable Access Within the Context of Digital Libraries. ADL 1997: 70-81 - [c33]Jerry James, Ambuj K. Singh:
Compositional Proofs for Concurrent Objects. COMPOS 1997: 301-326 - [c32]Sunil Prabhakar, Divyakant Agrawal, Amr El Abbadi, Ambuj K. Singh:
Scheduling Tertiary I/O in Database Applications. DEXA Workshop 1997: 722-727 - [c31]Daniel Wu, Divyakant Agrawal, Amr El Abbadi, Ambuj K. Singh:
A Java-Based Framework for Processing Distributed Objects. ER 1997: 333-346 - [c30]Athanassios S. Poulakidas, Ambuj K. Singh:
Online Replication of Shared Variables. ICDCS 1997: 500-507 - [c29]Sunil Prabhakar, Divyakant Agrawal, Amr El Abbadi, Ambuj K. Singh, Terence R. Smith:
Browsing and Placement of Multi-Resolution Images on Secondary Storage. ICMCS 1997: 636-637 - [c28]Kothuri Venkata Ravi Kanth, Amr El Abbadi, Divyakant Agrawal, Ambuj K. Singh:
Indexing Non-Uniform Spatial Data. IDEAS 1997: 289-298 - [c27]Sunil Prabhakar, Divyakant Agrawal, Amr El Abbadi, Ambuj K. Singh, Terence R. Smith:
Browsing and Placement of Multiresolution Images on Parallel Disks. IOPADS 1997: 102-113 - [c26]Chris R. Jones, Ambuj K. Singh, Divyakant Agrawal:
Low Latency MPI for Meiko CS/2 and ATM Clusters. IPPS 1997: 374-380 - [c25]Raimondas Lencevicius, Urs Hölzle, Ambuj K. Singh:
Query-Based Debugging of Object-Oriented Programs. OOPSLA 1997: 304-317 - [c24]Jerry James, Ambuj K. Singh:
Fault Tolerance Bounds for Memory Consistency. PODC 1997: 285 - [c23]Sunil Prabhakar, Divyakant Agrawal, Amr El Abbadi, Ambuj K. Singh:
A brief survey of tertiary storage systems and research. SAC 1997: 155-157 - [c22]Divyakant Agrawal, Amr El Abbadi, Ambuj K. Singh, Tolga Yurek:
Efficient View Maintenance at Data Warehouses. SIGMOD Conference 1997: 417-427 - [c21]Jerry James, Ambuj K. Singh:
Fault Tolerance Bounds for Memory Consistency. WDAG 1997: 200-214 - 1996
- [j16]Ambuj K. Singh:
Bounded Timestamps in Process Networks. Parallel Process. Lett. 6(2): 259-264 (1996) - [j15]Manhoi Choy, Ambuj K. Singh:
Localizing Failures in Distributed Synchronization. IEEE Trans. Parallel Distributed Syst. 7(7): 705-716 (1996) - [c20]Daniel Wu, Divyakant Agrawal, Amr El Abbadi, Ambuj K. Singh, Terence R. Smith:
Efficient Retrieval for Browsing Large Image Databases. CIKM 1996: 11-18 - [c19]Jerry James, Ambuj K. Singh:
The Impact of Hardware Models on Shared Memory Consistency Conditions. CONCUR 1996: 719-734 - [c18]Manhoi Choy, Ambuj K. Singh:
Efficient distributed algorithms for dynamic channel assignment. PIMRC 1996: 208-212 - [c17]Kothuri Venkata Ravi Kanth, Divyakant Agrawal, Amr El Abbadi, Ambuj K. Singh, Terence R. Smith:
Parallelizing multidimensional index structures. SPDP 1996: 376-383 - 1995
- [j14]Manhoi Choy, Ambuj K. Singh:
Efficient Implementation of Synchronous Communication over Asynchronous Networks. J. Parallel Distributed Comput. 26(2): 166-180 (1995) - [j13]Ambuj K. Singh:
A Framework for Programming with Nonatomic Memories. J. Parallel Distributed Comput. 26(2): 211-224 (1995) - [j12]Manhoi Choy, Ambuj K. Singh:
Efficient Fault-Tolerant Algorithms for Distributed Resource Allocation. ACM Trans. Program. Lang. Syst. 17(3): 535-559 (1995) - [c16]Jerry James, Ambuj K. Singh:
Complete Implementations for Shared Memory Consistency Conditions (Abstract). PODC 1995: 273 - 1994
- [j11]Manhoi Choy, Ambuj K. Singh:
Adaptive Solutions to the Mutual Exclusion Problem. Distributed Comput. 8(1): 1-17 (1994) - [j10]Ömer Egecioglu, Ambuj K. Singh:
Naming Symmetric Processes Using Shared Variables. Distributed Comput. 8(1): 19-38 (1994) - [j9]Ambuj K. Singh, James H. Anderson, Mohamed G. Gouda:
The Elusive Atomic Register. J. ACM 41(2): 311-339 (1994) - [j8]Ying Liu, Ambuj K. Singh, Rajive L. Bagrodia:
A Decompositional Approach to the Design of Parallel Programs. IEEE Trans. Software Eng. 20(12): 914-932 (1994) - [c15]Divyakant Agrawal, Manhoi Choy, Hong Va Leong, Ambuj K. Singh:
Investigating Weak Memories Using Maya. HPDC 1994: 123-130 - [c14]Ambuj K. Singh:
A Framework for Programming Using Non-Atomic Variables. IPPS 1994: 133-140 - [c13]Divyakant Agrawal, Manhoi Choy, Hong Va Leong, Ambuj K. Singh:
Maya: a simulation platform for distributed shared memories. PADS 1994: 151-155 - [c12]Divyakant Agrawal, Manhoi Choy, Hong Va Leong, Ambuj K. Singh:
Mixed Consistency: A Model for Parallel Programming (Extended Abstract). PODC 1994: 101-110 - [c11]Manhoi Choy, Ambuj K. Singh:
Coping with Contention (Extended Abstract). WDAG 1994: 89-100 - 1993
- [j7]Ambuj K. Singh:
Program Refinement in Fair Transition Systems. Acta Informatica 30(6): 503-535 (1993) - [j6]Ambuj K. Singh, Mohamed G. Gouda:
Rankers: A Classification of Synchronization Problems. Sci. Comput. Program. 21(3): 191-223 (1993) - [j5]Divyakant Agrawal, Amr El Abbadi, Ambuj K. Singh:
Consistency and Orderability: Semantics-Based Correctness Criteria for Databases. ACM Trans. Database Syst. 18(3): 460-486 (1993) - [c10]Manhoi Choy, Ambuj K. Singh:
Adaptive Solutions to the Mutual Exclusion Problem (Extended Abstract). PODC 1993: 183-194 - [c9]Manhoi Choy, Ambuj K. Singh:
Distributed Job Scheduling Using Snapshots. WDAG 1993: 145-159 - 1992
- [j4]Ambuj K. Singh:
Towards an Understanding of Unbounded Variables in Asynchronous Systems. Inf. Process. Lett. 42(1): 7-17 (1992) - [j3]Ambuj K. Singh:
On Reasoning With the Global Time Assumption. LOPLAS 1(1): 89-103 (1992) - [c8]Ying Liu, Ambuj K. Singh, Rajive L. Bagrodia:
A Decompositional Approach to the Design of Efficient parallel Programs. PARLE 1992: 21-36 - [c7]Manhoi Choy, Ambuj K. Singh:
Efficient Fault Tolerant Algorithms for Resource Allocation in Distributed Systems. STOC 1992: 593-602 - 1991
- [j2]Ambuj K. Singh:
Specification of Concurrent Objects Using Auxiliary Variables. Sci. Comput. Program. 16(1): 49-88 (1991) - [c6]Ambuj K. Singh, Ying Liu:
Flexible Program Structures for Concurrent Programming. Research Directions in High-Level Parallel Programming Languages 1991: 64-71 - [c5]B. Gopinath, Ambuj K. Singh, Prem Uppaluru:
A Formal Description of the IC* Model of Parallel Computation. ICCI 1991: 520-531 - [c4]Ying Liu, Ambuj K. Singh:
Parallel programming: achieving portability through abstraction. ICDCS 1991: 634-640 - [c3]Ambuj K. Singh:
Program Refinement in Fair Transition Systems. PARLE (2) 1991: 128-147 - 1990
- [c2]Ambuj K. Singh:
An Axiomatization of Wait-Freedom and Low-Atomicity. ICCI 1990: 154-163
1980 – 1989
- 1989
- [j1]Ambuj K. Singh, Ross A. Overbeek:
Derivation of efficient parallel programs: An example from genetic sequence analysis. Int. J. Parallel Program. 18(6): 447-484 (1989) - 1987
- [c1]Ambuj K. Singh, James H. Anderson, Mohamed G. Gouda:
The Elusive Atomic Register Revisited. PODC 1987: 206-221
Coauthor Index
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