Conference Publications

  1. P.E. Caines and M. Huang. Mean field games on large sparse network limits: Laplexion dynamics on graphexons. Proc. the 10th IFAC Conference on Networked Systems, Hong Kong, China, June 2025.

  2. P.E. Caines and M. Huang. "Sparse network mean field games: ring structures and related topologies". Proc. 63rd IEEE CDC, Milan, Italy, 2024.

  3. Y. Wang and M. Huang. Large-population risk-sensitive linear-quadratic optimal control. Proc. 63rd IEEE CDC, Milan, Italy, Dec 2024.

  4. P.E. Caines and M. Huang. Mean field games on dense and sparse networks: the graphexon MFG equations. Proc. American Control Conference, Toronto, Canada, Jul 2024, pp.4230-4235.

  5. M. Huang and S.L. Nguyen. Large-population optimal control with mixed agents: the multi-scale analysis and decentralized control. Proc. 62nd IEEE CDC, Singapore, Dec 2023.

  6. R. Foguen Tchuendom, S. Gao, P.E. Caines, and M. Huang. Optimal network location in infinite horizon LQG graphon mean field games. Proc. 61st IEEE CDC, Cancun, Mexico, Dec 2022.

  7. S. Gao, P.E. Caines, and M. Huang. LQG graphon mean field games: graphon invariant subspaces. Proc. 60th IEEE CDC, Austin, TX, Dec 2021.

  8. R. Foguen Tchuendom, P.E. Caines, and M. Huang. Critical nodes in graphon mean field games. Proc. 60th IEEE CDC, Austin, TX, Dec 2021.

  9. M. Huang, S.-J. Sheu, and L.-H. Sun. " Mean field social optimization: feedback person-by-person optimality and the master equation". Proc. 59th IEEE CDC, Jeju Island, Korea, Dec 2020, pp. 4921-4926.

  10. R. Foguen Tchuendom, P.E. Caines, and M. Huang. On the master equation for linear quadratic graphon mean field games. Proc. 59th IEEE CDC, Jeju Island, Korea, Dec 2020, pp.1026--1031.

  11. M. Huang and X. Yang. "Mean field Stackelberg games: state feedback equilibrium". Proc. 21st IFAC World Congress (virtual), Berlin, July 2020.

  12. P.E. Caines and M. Huang. "Graphon mean field games and the GMFG equations: epsilon-Nash equilibria". Proc. the 58th IEEE CDC, Nice, France, pp. 286-292, Dec 2019 [pdf]. (Chinese translation of GMFG: 图函平均场博弈, Dec 2019)

  13. M. Zhou and M. Huang. Mean field games with Poisson jumps and impulse control: long-run average cost. Proc. 58th IEEE CDC, Nice, France, Dec 2019, pp.1237--1242.

  14. M. Huang. "Stochastic optimal control with Markovian lossy state observations". Proc. the 58th IEEE CDC, Nice, France, pp. 678-683, Dec 2019 [pdf].

  15. M. Huang and X. Yang. "Linear quadratic mean field social optimization: asymptotic solvability". Proc. the 58th IEEE CDC, Nice, France, Dec 2019.

  16. P.E. Caines and M. Huang. "Graphon mean field games and the GMFG equations". Proc. the 57th IEEE CDC, Miami Beach, FL, pp. 4129-4134, Dec 2018.

  17. X. Chen and M. Huang. "Linear-quadratic mean field control: the Hamiltonian matrix and invariant subspace method". Proc. the 57th IEEE CDC, Miami Beach, FL, pp. 4117-4122, Dec 2018. [pdf here]

  18. M. Huang and M. Zhou. Linear quadratic mean field games -- Part I: the asymptotic solvability problem. Proc. 23rd Internat. Symp. Math. Theory Networks and Systems, Hong Kong, China, pp. 489-495, July 2018.

  19. X. Chen and M. Huang. Cooperative linear-quadratic mean field control and its Hamiltonian matrix analysis. Proc. 23rd Internat. Symp. Math. Theory Networks and Systems, Hong Kong, China, pp. 500-502, July 2018.

  20. M. Huang and Y. Ma. Mean field stochastic games with binary actions: stationary threshold policies. Proc. 56th IEEE CDC, Melbourne, Australia, pp. 27-32, Dec 2017.

  21. M. Zhou and M. Huang. Mean field games with Poisson point processes and impulse control. Proc. 56th IEEE CDC, Melbourne, Australia, pp. 3152-3157, Dec 2017.

  22. M. Huang and S.L. Nguyen. Mean field games for stochastic growth with relative consumption. Proceedings of 55th IEEE CDC, Las Vegas, Dec 2016, pp. 4528-4533.

  23. M. Huang and S.L. Nguyen. "Linear-quadratic mean field teams with a major agent". Proc. the 55th IEEE CDC, Las Vegas, NV, pp. 6958-6963, Dec. 2016.

  24. N. Sen, M. Huang, and R.P. Malhame. "Mean field social control with decentralized strategies and optimality characterization". Proc. the 55th IEEE CDC, Las Vegas, NV, pp. 6056-6061, Dec. 2016.

  25. M. Huang and Y. Ma. "Mean field stochastic games: monotone costs and threshold policies". Proc. the 55th IEEE CDC, Las Vegas, NV, pp. 7105-7110, Dec. 2016.

  26. M. Huang and S. L. Nguyen. "Mean field games for stochastic growth with relative consumption". Proc. the 55th IEEE CDC, Las Vegas, NV, pp. 4528-4533, Dec 2016.

  27. B. Wang and M. Huang. "Dynamic production output adjustment with sticky prices: a mean field game approach". Proc. the 54th IEEE CDC, Osaka, Japan, pp. 4438-4443, Dec 2015.

  28. J. Huang and M. Huang. "A mean field LQG game with soft-constrained disturbance as an adversarial player". Proc. the 54th IEEE CDC, Osaka, Japan, pp. 4424-4429, Dec 2015.

  29. M. Huang, T. Li, and J.-F. Zhang. "Stochastic approximation for consensus over general digraphs with Markovian switches". Proc. 53rd IEEE CDC, Los Angeles, pp. 2216-2221, December 2014.

  30. M. Huang and S. L. Nguyen "Mean field capital accumulation with stochastic depreciation". Proc. 53rd IEEE CDC, Los Angeles, pp. 370-375, December 2014.

  31. M. Huang and J. H. Manton. "Opinion dynamics with noisy information". Proc. 52nd IEEE CDC, Florence, Italy, pp. 3445-3450, Dec 2013 [pdf].

  32. M. Huang. "Mean field capital accumulation games: the long time behavior". Proc. 52nd IEEE CDC, Florence, Italy, pp. 2499-2504, Dec 2013.

  33. J. Huang and M. Huang. "Mean field LQG games with model uncertainty". Proc. 52nd IEEE CDC, Florence, Italy, pp. 3103-3108, Dec 2013.

  34. A. Al-Zahrani, F.R. Yu, and M. Huang. "A mean-field game approach for distributed interference and resource management in heterogeneous cellular networks". Proceeding of IEEE Globecom, Atlanta, Dec 2013.

  35. A.Y. Al-Zahrani, F.R. Yu, and M. Huang M. A distributed interference control scheme in large cellular networks using mean-field game theory. Proc. 24th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC'13), London, UK, Sept 2013.

  36. S.L. Nguyen and M. Huang. "Mean Field LQG games with mass behavior responsive to a major player". Proc the 51st IEEE CDC, Maui, Hawaii, pp. 5792-5797, December 2012 [pdf].

  37. M. Huang and S.L. Nguyen. "LQG optimal control arising in mean field decision problems". Proc. the 20th MTNS, Melbourne, Australia, July 2012.

  38. M. Huang. "Mean field stochastic games with discrete states and mixed players". Proc. 3rd GameNets, Vancouver, pp. 138-151, May 2012.

  39. S.L. Nguyen and M. Huang. "Mean field LQG games with a major player: continuum-parameters for minor players". Proc. 50th IEEE CDC Conference, Orlando, FL, pp. 1012-1017, Dec. 2011 [pdf].

  40. M. Huang and S.L. Nguyen. "Stochastic control of mean field models with mixed players". Proc. 18th IFAC World Congress, Milan, Italy, Aug. 2011.

  41. M. Huang. "Stochastic approximation for consensus with general time-varying weight matrices". Proc. the 49th IEEE CDC, Atlanta, GA, pp. 7449-7454, December 2010 [pdf].

  42. M. Nourian, R.P. Malhame, M. Huang, and P.E. Caines. "Optimality of adaption based mean field (NCE) control laws in leader-follower stochastic dynamic games". Proc. the 49th IEEE CDC, Atlanta, GA, pp. 2270-2275, December 2010.

  43. M. Huang, P.E. Caines, and R.P. Malhame. "Social dynamics in mean field LQG control: egoistic and altruistic agents". Proc. the 49th IEEE CDC, Atlanta, GA, pp. 3140-3145, December 2010.

  44. M. Nourian, P.E. Caines, R.P. Malhame, and M. Huang, "A solution to the consensus problem via stochastic mean field control". Presented at the 2nd IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys'10), Annecy, France, September 2010.

  45. M. Huang, P.E. Caines, and R.P. Malhame. "Social certainty equivalence in mean field LQG control: social, Nash and centralized strategies". Proc. the 19th MTNS, Budapest, Hungary, pp. 1525-1532, July 2010 [pdf].

  46. M. Huang. "An algebraic approach for the NCE principle with massive subpopulations". Proc. the 48th IEEE CDC, Shanghai, China, pp. 4704-4709, December 2009 [pdf].

  47. F.R. Yu, H. Tang, M. Huang, Z Li, and P.C. Mason. "Defense against spectrum sensing data falsification attacks in mobile Ad Hoc networks with cognitive radios". Proc. IEEE Milcom09, Boston, MA, Oct. 2009.

  48. M. Nourian, P.E. Caines, R.P. Malhame, and M. Huang. "Derivation of consensus algorithm dynamics from mean field stochastic control NCE equations". Proc. the 1st IFAC Workshop on Estimation and Control of Networked Systems (NecSys'09) , Venice, Italy, September 2009 (6 pages).

  49. M. Huang, P.E. Caines and R.P. Malhame. "Social optima in mean-field LQG control: centralized and decentralized strategies". Proc. the 47th Allerton Conference on Communication, Control and Computing (in invited session "New results in decentralized and distributed decision making"), Monticello, Illinois, pp. 322-329, Sept. 2009.

  50. Z. Li, F.R. Yu, and M. Huang. "A cooperative spectrum sensing consensus scheme in cognitive radios". Proc. IEEE INFOCOM'09 Mini-Conference, Rio de Janeiro, Brazil, pp. 2546-2550, April 2009.

  51. Z. Li, F.R. Yu, and M. Huang. "Distributed spectrum sensing in cognitive radio networks". Proc. IEEE WCNC'09, Budapest, Hungary, April 2009.

  52. M. Huang. "Convergence rate for stochastic consensus algorithms with time-varying noise statistics: asymptotic normality". Proc. 47th IEEE CDC, Cancun, Mexico, pp. 3553-3558, December 2008 [pdf].

  53. M. Huang, P.E. Caines and, R.P. Malhame. "A locality generalization of the NCE (mean field) principle: agent specific cost interactions". Proc. 47th IEEE CDC, Cancun, Mexico, pp. 5539-5544, December 2008 [pdf].

  54. M. Huang and J.H. Manton. "Stochastic consensus seeking with measurement noise: convergence and asymptotic normality". Proc. American Control Conference, Seattle, WA, pp. 1337-1342, June 2008 [pdf] (Related talk at Wayne State University, April 16, 2008 [pdf]).

  55. M. Huang and J.H. Manton. "Stochastic approximation for consensus seeking: mean square and almost sure convergence". Proc. 46th IEEE Conference on Decision and Control, New Orleans, LA, pp. 306-311, December 2007 [pdf] .

  56. M. Huang, P.E. Caines, and R.P. Malhame. "The Nash certainty equivalence principle and McKean-Vlasov systems: an invariance principle and entry adaptation". Proc. 46th IEEE Conference on Decision and Control, New Orleans, LA, pp. 121-126, December 2007 [pdf] .

  57. M. Huang and J.H. Manton. "Stochastic double array analysis and convergence of consensus algorithms with noisy measurements". Proc. American Control Conference, New York, pp. 705-710, July 2007 [pdf] .

  58. M. Huang and J.H. Manton. "Stochastic Lyapunov analysis for consensus algorithms with noisy measurements". Proc. American Control Conference, New York, pp. 1419-1424, July 2007 [pdf] .

  59. M. Huang and S. Dey. "Kalman filtering with Markovian packet losses and stability criteria" . (Extended from an Automatica paper), Proc. the 45th IEEE Conference on Decision and Control , San Diego, CA, pp. 5621-5626, December 2006 [pdf] .

  60. M. Huang, R.P. Malhame and P.E. Caines. "Nash certainty equivalence in large population stochastic dynamic games: connections with the physics of interacting particle systems" , Proc. the 45th IEEE Conference on Decision and Control , San Diego, CA, pp. 4921-4926, December 2006 [pdf] . Long version (CDC_Plus_Appendix) [pdf:cdc-plus-appndx] .

  61. H. Ji, M. Huang, J.B. Moore, and J.H. Manton. A globally convergent conjugate gradient method for minimizing self-concordant functions with application to constrained optimisation problems. Proc. American Control Conference, New York, pp. 540-545, July 2007.

  62. M. Huang, P.E. Caines, and R.P. Malhame. "Distributed multi-agent decision-making with partial observations: asymptotic Nash equilibria" . Proc. the 17th Internat. Symposium on Math. Theory on Networks and Systems (MTNS'06), Kyoto, Japan, pp. 2725-2730, July 2006 [pdf] .

  63. M. Huang and S. Dey. Joint rate/power adaptation and dynamic buffer management in wireless data relay networks. Proc. American Control Conference, Minneapolis, MN, pp. 6097-6102, June 2006.

  64. M. Huang and S. Dey. Dynamic quantization for multi-sensor estimation over bandlimited fading channels with fusion center feedback. Proc. IFAC Sysid'06, Newcastle, Australia, Apr. 2006.

  65. G. N. Nair, M. Huang and R. J. Evans. Optimal infinite horizon LQR via a low data-rate channel. Proc. IFAC Sysid'06, Newcastle, Australia, Apr. 2006.

  66. M. Huang, R.P. Malhame, and P.E. Caines. Nash strategies and adaptation for decentralized games involving weakly-coupled agents. Proc. the 44th IEEE CDC-ECC Conf., Seville, Spain, pp. 1050-1055, December 2005 [pdf] .

  67. M. Huang, G.N. Nair, and R.J. Evans. Finite horizon LQ optimal control and computation with data rate constraints. Proc. the 44th IEEE CDC-ECC Conf., Seville, Spain, pp. 179-184, December 2005.

  68. M. Huang, R.P. Malhame, and P.E. Caines. Decentralized Nash equilibria for large-scale stochastic systems of weakly coupled agents. Presented at the 6th SIAM Conference on Control and its Applications (abstract), New Orleans, LA, July 2005.

  69. M. Huang and G. Nair. Detection of random targets in sensor networks with applications. Proc. the 16th IFAC World Congress, Prague, Czech, July 2005.

  70. M. Huang and S. Dey. Distributed state estimation for hidden Markov models with dynamic quantization and rate alloction. Proc. the 16th IFAC World Congress, Prague, Czech, July 2005.

  71. M. Huang and S. Dey. Distributed state estimation for hidden Markov models by sensors networks with dynamic quantization. Proc. the International Conference on Sensors, Sensor networks and Information Processing, Melbourne, Australia, pp. 355-360, Dec. 2004.

  72. M. Huang and V. Krishnamurthy. Risk sensitive quickest time detection. Proc. the 43rd IEEE Conference on Decision and Control, Atlantis, Paradise Island, Bahamas, pp. 1748-1753, December 2004.

  73. M. Huang, P.E. Caines, and R.P. Malhame. Large-population cost-coupled LQG problems: generalizations to non-uniform individuals. Proc. the 43rd IEEE Conference on Decision and Control, Atlantis, Paradise Island, Bahamas, pp. 3453-3458, December 2004 [pdf] .

  74. M. Huang, R.P. Malhame, and P.E. Caines. On a class of large-scale cost-coupled Markov games with applications to decentralized power control. Proc. the 43rd IEEE Conference on Decision and Control, Atlantis, Paradise Island, Bahamas, pp. 2830-2835, December 2004.

  75. M. Huang, P.E. Caines, and R.P. Malhame. Individual and mass behaviour in large population stochastic wireless power control problems: centralized and Nash equilibrium solutions. Proc. the 42nd IEEE Conference on Decision and Control, Maui, Hawaii, pp. 98-103, December 2003 [pdf] .

  76. M. Huang, R.P. Malhame, and Peter E. Caines. Stochastic power control in wireless communication systems: analysis, approximate control algorithms and state aggregation. Proc. the 42nd IEEE Conference on Decision and Control, Maui, Hawaii, pp. 4231-4236, December 2003.

  77. M. Huang, R.P. Malhame, and P.E. Caines. Stochastic power control in wireless communication systems with an infinite horizon discounted cost. Proceedings of the American Control Conference, Denver, Colorado, June 2003, pp. 962-968.

  78. M. Huang, P.E. Caines, and R.P. Malhame. Stochastic power control for wireless systems: centralized dynamic solutions and aspects of decentralized control. Proceedings of the 15th IFAC World Congress on Automatic Control, Barcelona, Spain, July 2002.

  79. M. Huang, R.P. Malhame, and P.E. Caines. Quality of service control for wireless systems: minimum power and minimum energy solutions. Proceedings of the American Control Conference, Anchorage, Alaska, May 2002, pp. 2424-2429.

  80. M. Huang, P.E. Caines, C.D. Charalambous, and R.P. Malhame. Stochastic power control for wireless systems: classical and viscosity solutions. Proceedings of 40th IEEE Conference on Decision and Control, Orlando, Florida, Dec. 2001, pp. 1037-1042.

  81. M. Huang, P.E. Caines, and R.P. Malhame. On a class of singular stochastic control problems arising in communications and their viscosity solutions. Proceedings of 40th IEEE Conference on Decision and Control, Orlando, Florida, Dec. 2001, pp. 1031-1036.

  82. M. Huang, P.E. Caines, C.D. Charalambous, and R.P. Malhame. Power control in wireless systems: a stochastic optimal control formulation. Proceedings of the American Control Conference, Arlington, Virginia, June 2001, pp. 750-755.

  83. M. Huang, P.E. Caines, C.D. Charalambous, and R.P. Malhame. Stochastic optimal control formulations of wireless power control problems. Optimization Days 2000, Montreal, Abstract Volume pp. 64, May 2000.

  84. M. Huang and L. Guo. Adaptive LQ control of discrete-time systems with jump Markovian parameters, Proceedings of the Chinese Control Conference, Ningbo, China, August 1998.