default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAmbuj K. Singh
Person information
- affiliation: University of California, Santa Barbara, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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]