Xiaojian Wu

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Shlomo ZilbersteinProfessor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Yexiang XueAssistant Professor, Purdue UniversityVerified email at purdue.edu
Daniel SheldonUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Dr. Roosevelt García-VillacortaPhD, University of Edinburgh, UKVerified email at sms.ed.ac.uk
Alexander S. FleckerProfessor of Ecology and Evolutionary BiologyVerified email at cornell.edu
Qinru ShiPhD candidate, Cornell UniversityVerified email at cornell.edu
Changhe YuanAmazonVerified email at amazon.com
Akshat KumarAssociate Professor, School of Information Systems, Singapore ManagementVerified email at smu.edu.sg
Suresh A. SethiBrooklyn College, City University of New YorkVerified email at brooklyn.cuny.edu
Hector AngaritaSenior Scientist, Natural Capital Project, Stanford UniversityVerified email at stanford.edu
Rafael M. AlmeidaAssistant Professor, Indiana UniversityVerified email at iu.edu
Guillaume PerezCornell universityVerified email at cornell.edu
Nathan Oliveira BarrosUniversidade Federal de Juiz de ForaVerified email at ufjf.br
John MelackProfessor, University of California, Santa BarbaraVerified email at bren.ucsb.edu
Stephen K. HamiltonMichigan State UniversityVerified email at kbs.msu.edu
Mona DiabProfessor & Director of Language Technologies Institute, Carnegie Mellon University, ACL FellowVerified email at andrew.cmu.edu
Alexander R. FabbriSalesforce AI ResearchVerified email at salesforce.com
Srini IyerFAIRVerified email at fb.com
Eric A. HansenDept. of Computer Science and Engineering, Mississippi State UniversityVerified email at cse.msstate.edu
Scott SteinschneiderCornell UniversityVerified email at cornell.edu

Xiaojian Wu

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Artificial Intelligence Machine Learning Optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	401	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	202	2019
Learning optimal Bayesian networks using A* search C Yuan, B Malone, X Wu Twenty-second international joint conference on artificial intelligence, 2011	174	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	122	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	100	2022
Solving multistage influence diagrams using branch-and-bound search C Yuan, X Wu, EA Hansen arXiv preprint arXiv:1203.3531, 2012	37	2012
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	29	2012
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	27	2018
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	26	2021
Parameter learning for latent network diffusion X Wu, A Kumar, D Sheldon, S Zilberstein AAAI Press, 2013	21	2013
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
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
Stochastic network design in bidirected trees X Wu, DR Sheldon, S Zilberstein Advances in Neural Information Processing Systems, 882-890, 2014	19*	2014
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	17	2022
Optimizing resilience in large scale networks X Wu, D Sheldon, S Zilberstein Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	17	2016
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
AnswerSumm: A manually-curated dataset and pipeline for answer summarization AR Fabbri, X Wu, S Iyer, H Li, M Diab arXiv preprint arXiv:2111.06474, 2021	13	2021
The china-brain project: Building china's artificial brain using an evolved neural net module approach H De Garis, JY Tang, Z Huang, L Bai, C Chen, S Chen, J Guo, X Tan, ... Frontiers in artificial intelligence and applications 171, 107, 2008	9	2008
Optimal Threshold Control for Energy Arbitrage with Degradable Battery Storage. M Petrik, X Wu UAI, 692-701, 2015	8	2015
Path tracking control of intelligent vehicles via a speed-adaptive MPC for a curved lane with varying curvature L Guan, P Liao, A Wang, L Shi, C Zhang, X Wu Proceedings of the Institution of Mechanical Engineers, Part D: Journal of …, 2024	7	2024

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