Xiaojian Wu

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Shlomo ZilbersteinProfessor of Computer Science, University of Massachusetts AmherstEmail verificata su cs.umass.edu
Yexiang XueAssistant Professor, Purdue UniversityEmail verificata su purdue.edu
Daniel SheldonUniversity of Massachusetts AmherstEmail verificata su cs.umass.edu
Dr. Roosevelt García-VillacortaPhD, University of Edinburgh, UKEmail verificata su sms.ed.ac.uk
Alexander S. FleckerProfessor of Ecology and Evolutionary BiologyEmail verificata su cornell.edu
Qinru ShiPhD candidate, Cornell UniversityEmail verificata su cornell.edu
Changhe YuanAmazonEmail verificata su amazon.com
Suresh A. SethiBrooklyn College, City University of New YorkEmail verificata su brooklyn.cuny.edu
Akshat KumarAssociate Professor, School of Information Systems, Singapore ManagementEmail verificata su smu.edu.sg
Hector AngaritaSenior Scientist, Natural Capital Project, Stanford UniversityEmail verificata su stanford.edu
Rafael M. AlmeidaAssistant Professor, Indiana UniversityEmail verificata su iu.edu
Guillaume PerezCornell universityEmail verificata su cornell.edu
Nathan Oliveira BarrosUniversidade Federal de Juiz de ForaEmail verificata su ufjf.br
Bruce R. ForsbergEcosystem ScientistEmail verificata su inpa.gov.br
John MelackProfessor, University of California, Santa BarbaraEmail verificata su bren.ucsb.edu
Stephen K. HamiltonMichigan State UniversityEmail verificata su kbs.msu.edu
Eric A. HansenDept. of Computer Science and Engineering, Mississippi State UniversityEmail verificata su cse.msstate.edu
Han ZouGenAI, MetaEmail verificata su ntu.edu.sg
Jianfei YangAssistant Professor, Director of MARS Lab, Nanyang Technological UniversityEmail verificata su ntu.edu.sg
Scott SteinschneiderCornell UniversityEmail verificata su cornell.edu

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Artificial Intelligence Machine Learning Optimization


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024	2691	2024
Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning RM Almeida, Q Shi, JM Gomes-Selman, X Wu, Y Xue, H Angarita, ... Nature communications 10 (1), 4281, 2019	217	2019
Learning optimal Bayesian networks using A* search C Yuan, B Malone, X Wu IJCAI proceedings-international joint conference on artificial intelligence …, 2011	181	2011
Computational sustainability: Computing for a better world and a sustainable future C Gomes, T Dietterich, C Barrett, J Conrad, B Dilkina, S Ermon, F Fang, ... Communications of the ACM 62 (9), 56-65, 2019	132	2019
Reducing adverse impacts of Amazon hydropower expansion AS Flecker, Q Shi, RM Almeida, H Angarita, JM Gomes-Selman, ... Science 375 (6582), 753-760, 2022	119	2022
The llama 3 herd of models A Grattafiori, A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, ... arXiv e-prints, arXiv: 2407.21783, 2024	85	2024
Solving multistage influence diagrams using branch-and-bound search C Yuan, X Wu, EA Hansen arXiv preprint arXiv:1203.3531, 2012	37	2012
Unsupervised energy-based adversarial domain adaptation for cross-domain text classification H Zou, J Yang, X Wu Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021	34	2021
Efficiently approximating the pareto frontier: hydropower dam placement in the amazon basin X Wu, J Gomes-Selman, Q Shi, Y Xue, R Garcia-Villacorta, E Anderson, ... Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018	28	2018
Lagrangian relaxation techniques for scalable spatial conservation planning A Kumar, X Wu, S Zilberstein Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 309-315, 2012	28	2012
Parameter learning for latent network diffusion X Wu, A Kumar, D Sheldon, S Zilberstein AAAI Press, 2013	21	2013
Spatio-temporal heuristic method: a trajectory planning for automatic parking considering obstacle behavior N Gan, M Zhang, B Zhou, T Chai, X Wu, Y Bian Journal of Intelligent and Connected Vehicles 5 (3), 177-187, 2022	19	2022
Dynamic optimization of landscape connectivity embedding spatial-capture-recapture information Y Xue, X Wu, D Morin, B Dilkina, A Fuller, J Royle, C Gomes Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	19	2017
Optimizing resilience in large scale networks X Wu, D Sheldon, S Zilberstein Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	19	2016
Rounded dynamic programming for tree-structured stochastic network design X Wu, D Sheldon, S Zilberstein Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014	19	2014
Efficient algorithms to optimize diffusion processes under the independent cascade model X Wu, D Sheldon, S Zilberstein NIPS Work. on Networks in the Social and Information Sciences 1 (1), 2015	17	2015
Autonomous vehicle path tracking control considering the stability under lane change X Chen, B Zhou, X Wu Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2021	9	2021
Optimal Threshold Control for Energy Arbitrage with Degradable Battery Storage. M Petrik, X Wu UAI, 692-701, 2015	9	2015
Robust optimization for tree-structured stochastic network design X Wu, A Kumar, D Sheldon, S Zilberstein Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017	8	2017
Multi-perspective abstractive answer summarization AR Fabbri, X Wu, S Iyer, M Diab arXiv preprint arXiv:2104.08536, 2021	6	2021

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