Pan Zhang Ph.D. Santa Fe Institute 1399 Hyde Park Road Santa Fe, NM 87501, USA
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1 Pan Zhang Ph.D. Santa Fe Institute 1399 Hyde Park Road Santa Fe, NM 87501, USA PERSONAL DATA Date of Birth: November 19, 1983 Nationality: China Mail: 1399 Hyde Park Rd, Santa Fe, NM 87501, USA Website: Phone: office +1 (505) PRINCIPAL RESEARCH EXPERTISE Statistical physics of complex systems and application in computer science and information theory Statistical inference, machine learning, graphical models Combinatorial optimization problems, random matrix theory Disorder systems, complex networks, neural networks Spin glass theory, replica symmetry breaking theory, cavity method and message passing algorithms EMPLOYMENT Jun Present Postdoctoral research fellow, Santa Fe Institute, Santa Fe, U.S.A. Feb May 2013 Postdoctoral research fellow, E.S.P.C.I. Paris, France Oct Jan Postdoctoral research fellow, Politecnico di Torino / Microsoft Innovation Center, Turin, Italy EDUCATION Oct Jun Joint Ph.D. program, Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing, China. Supervisor: Haijun Zhou Sep Jun Ph.D. Theoretical Physics, Lanzhou University, Lanzhou, China. Supervisors: Yishi Duan and Yong Chen Sep Jun B.S. Theoretical Physics, Lanzhou University, Lanzhou, China. LANGUAGES Native Mandarin Fluent English Basic Italian Basic French
2 REVIEWER SERVICE Physical Review E European Physics Letters European Physics Journal B Journal of Statistical Physics Journal of Statistical Mechanics: Theory and Experiments Chaos Physica A Journal of Machine Learning Journal of Machine Learning Research TEACHING AND MENTORING EXPERIENCE Feb Jul. 2007: Teaching assistant of course Electrodynamics, in Lanzhou University. Aug. 2014: Teaching course Introduction to Graphical Models for students of REU program in Santa Fe Institute. Jun.2014 Aug. 2014: Mentoring a REU student at Santa Fe Institute in a research project of random matrices. PUBLICATIONS Non-backtracking operator for the Ising model and its applications in attractor neural networks Pan Zhang Physical Review E 91, (2015) Decimation inference for sparse kinetic Ising model Aurellien Decelle and Pan Zhang Physical Review E, in press Scalable detection of statistically significant communities and hierarchies, using messagepassing for modularity Pan Zhang and Cristopher Moore Proceedings of National Academy of Sciences, 111, (2014) Spectral redemption in clustering sparse networks F. Krzakala, C. Moore, E. Mossel, J. Neeman, A. Sly, L. Zdeborova and P. Zhang Proceedings of National Academy of Sciences 110, (2013) (open access) Non-adaptative pooling strategies for detection of rare faulty items Pan Zhang, Florent Krzakala, Marc Mezard and Lenka Zdeborova Communications Workshops, IEEE ICC Phase transitions in semisupervised clustering of sparse networks Pan Zhang, Cristopher Moore and Lenka Zdeborová Physical Review E 90, (2014)
3 The hard-core model on random graphs revisited J. Barbier, F. Krzakala, L. Zdeborová and P. Zhang Journal of Physics: Conference Series 473 (1), Robust error correction for real-valued signals via message-passing decoding and spatial coupling J. Barbier, F. Krzakala, L. Zdeborová and P. Zhang Information Theory Workshop (ITW), 2013 IEEE, Model Selection for Degree-corrected Block Models Xiaoran Yan, Jacob Jensen, Florent Krzakala, Cristopher Moore, Cosma Shalizi, Lenka Zdeborová, Pan Zhang and Yaojia Zhu Journal of Statistical Mechanics: Theory and Experiments (2014) P Comparative Study of Belief Propagation for Mixture-Modeling Relational Data Pan Zhang, Florent Krzakala, Joerg Reichardt and Lenka Zdeborova Journal of Statistical Mechanics: Theory and Experiments (2012) P Inference of kinetic Ising model on sparse graphs Pan Zhang Journal of Statistical Physics 148, 502 (2012) Message passing in quantified Boolean formulas P. Zhang, A. Ramezanpour, L. Zdeborova and R. Zecchina Journal of Statistical Mechanics: Theory and Experiments P05025 (2012). Analytical and Belief Propagation studies on random constraint satisfaction problems with growi ng domains C. Zhao,P. Zhang, Z. Zheng, and K.Xu Physical Review E 85, (2012). Inference and learning in sparse systems with multiple states A. Braunstein, A. Ramezanpour and R. Zecchina and P. Zhang Physical Reivew E, 83, (2011). Stability Analysis on the Finite-temperature Replica-Symmetric and First-step Replica-Symmetry- Broken Cavity Solutions of the Random Vertex Cover Problem P. Zhang, Y. Zeng and H. Zhou Physical Reivew E, 80, (2009).
4 Topology and Dynamics of Attractor Neural Networks: The Role of Loopiness P. Zhang, Y. Chen Physica A, 387, 4411 (2008) Transient Dynamics of Sparsely Connected Hopfield Neural Networks with Arbitrary Degree Distributions P. Zhang and Y. Chen Physica A, 387, 1009 (2008). Statistical Neurodynamics for sequence processing neural networks with finite dilution P. Zhang and Y. Chen Lecture Notes in Computer Science (LNCS), 4491, Transient dynamics for sequence processing neural networks: effect of degree distributions Y. Chen, P. Zhang, L.C. Yu, S. Zhang Phys. Rev. E 77, (2008) A Network growth approach to macroevolution in ecosystems S.M. Qin, Y. Chen and P. Zhang New Journal of Physics 9, 220 (2007) Frequency and phase synchronization of two coupled neurons with channel noise L.C. Yu, Y. Chen and P. Zhang Euro. Phys. J. B 59,249(2007) Optimized annealing traveling salesman problem from the nth-nearest-neighbor distribution Y. Chen and P. Zhang Physica A, 371, 627 (2006).
5 REFERENCES Cristopher Moore, Professor Santa Fe Institute 1399 Hyde Park Rd, Santa Fe, NM 87501, USA Riccardo Zecchina, Professor Department of Applied Science and Technology Politecnico di Torino Corso Duca degli Abruzzi 24, Torino, Italy Florent Krzakala, Professor Lab. de Physique Statistique École Normale Supérieure 24 Rue Lhomond, Cedex 05 PARIS, France Lenka Zdeborová, CNRS Researcher Institut de Physique Theorique Orme des Merisiers, Bat. 774, p.c. 136 CEA/SACLAY, F Gif-sur-Yvette Cedex, FRANCE Haijun Zhou, Professor Institute of Theoretical Physics, Chinese Academy of Sciences Zhong-Guan-Cun-Dong-Lu 55, Beijing , China
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