2014年会议文章
[1]	Y. H. Zhu, and D. B. Zhao, "A data-based online reinforcement learning algorithm with 
high-efficient exploration," in Proeedings of 2014 IEEE Symposium Series on Computational 
Intelligence, Orlando, Florida, United States, Dec. 2014, pp. 177–182. 

[2]	Z. P. Xia, D. B. Zhao, and H. J. Tang, "Model-free adaptive dynamic programming for 
optimal control of discrete-time affine nonlinear system," in Proeedings of 2014 IFAC World
Congress, Cape Town, South Africa, Aug. 2014, pp. 7049–7054. 

[3]	L. Lv, D. B. Zhao, and Z. J. Fan, "Cheating behavior detection based-on pictorial structure
model," in Proeedings of 2014 Chinese Control Conference, Nanjing, China, July2014, pp. 7274–7279. 

[4]	L. Bu, D. B. Zhao, Y. Liu, and Q. Guan, "A hierarchical classification algorithm for 
classifying energy," in Proeedings of 2014 International Joint Conference on Neural Networks,
Beijing, China, July2014, pp. 1461–1466. 

[5]	B. Wang, and D. B. Zhao, "A kalman filter-based actor-critic learning approach," in 
Proeedings of 2014 International Joint Conference on Neural Networks, Beijing, China, 
July2014, pp. 3657–3662. 

[6]	X. N. Zhong, Z. Ni, H. He, X. Xu, and D. B. Zhao, "Event-triggered reinforcement learning
approach for unknown nonlinear continuous-time system," in Proeedings of 2014 International
Joint Conference on Neural Networks, Beijing, China, July 2014, pp. 3677–3784. 

[7]	Y. H. Zhu, D. B. Zhao, and H. He, "An high-efficient online reinforcement learning 
algorithm for continuous-state systems," in Proeedings of 2014 World Congress on Intelligent
Control and Automation, Shenyang, China, June–July 2014, pp. 581–586. 

[8]	Z. X. Wu, J. Z. Yu, Z. S. Su, and M. Tan,"Implementing 3-D high maneuvers with a novel 
biomimetic robotic fish," in Proceedings of 2014 IFAC World Congress, Cape Town, South Africa,
Aug. 2014, pp. 4861–4866. 

[9]	Y. P. Wang, L. Cheng, Z. G. Hou, M. Tan, and M. Wang, "Leader-following output consensus
in a network of linear agents with communication noises," in Proceedings of 2014 IFAC World
Congress, Cape Town, South Africa, Aug. 2014, pp. 1825–1830. 

[10]	Z. Gong, B. K. Chen, J. Liu, C. Zhou, D. Anchel, D. P. Bazett-Jones, and Y. Sun, 
"Correlative microscopy for nanomanipulation of sub-cellular structures," in Proceedings of
2014 IEEE International Conference on Robotics and Automation, Hong Kong, China, May–June 
2014, pp. 5209–5214. 

[11]	W. Q. Wang, Z. G. Hou, L. N. Tong, Y. X. Chen, L. Peng, and M. Tan, "Dynamics modeling
and identification of the human-robot interface based on a lower limb rehabilitation robot,"
in Proceedings of 2014 IEEE International Conference on Robotics and Automation, Hong Kong, 
China, May–June 2014, pp. 6012–6017. 

[12]	X. L. Liu, Z. Q. Cao, J. L. Jiao, K. Ai, and M. Tan, "Robot pose estimation and 
navigation based on the understanding of laser landmarks in unknown environments," in 
Proceedings of 11th IEEE Conference on Control and Automation, Taichung, Taiwan, June 2014,
pp. 332–335. 

[13]	H. Lin, Z. Z. Liang, E. Li, M. B. Yang, and B. Zhai, "Analysis and design of an improved
light interference methane sensor," in Proceedings of 11th IEEE Conference on Control and 
Automation, Taichung, Taiwan, June2014, pp. 404–409. 

[14]	J. Hu, Z. G. Hou, L. Peng, N. Gu, "sEMG-based single-joint active training with iLeg:
a horizontal exoskeleton for lower limb rehabilitation,"in Proceedings of 21st International 
Conference on Neural Information Processing, Kunching, Malaysia, Nov. 2014, pp. 535–542. 

[15]	L. Cheng, Y. P. Wang, Z. G. Hou, and M. Tan, "Stochastic consensus of linear multi-agent
systems: communication noises and markovian switching topologies," in Proceedings of 26th Chinese
Control and Decision Conference, Changsha, China, May–June 2014, pp. 274–279. 

[16]	S. H. Mi, Z. G. Hou, F. Yang, X. L. Xie, and G. B. Bian, "A collision response algorithm
for 3D virtual reality minimally invasive surgery simulator," in Proceedings of 26th Chinese 
Control and Decision Conference, Changsha, China, May–June 2014, pp. 4594–4599. 

[17]	F. Yang, Z. G. Hou, S. H. Mi, G. B. Bian, and X. L. Xie, "Tree structures segmentation 
of coronary arries uing CURVES mehod for iterventional srgical smulation, "in Proceedings of 
26th Chinese Control and Decision Conference, Changsha, China, May–June 2014, pp. 4600–4605. 

[18]	J. L. Jiao, Z. Q. Cao, P. Zhao, X. L. Liu, C. Zhou, and M. Tan, "Autonomous grasp of the 
embedded mobile manipulator with an eye-in-hand camera,"in Proceedings of 2014 IEEE International
Conference on Networking, Sensing and Control, Miami, USA, Apr. 2014, pp. 267–272. 

[19]	Y. P. Wang, L. Cheng, Z. G. Hou, and M. Tan, "Polynomial trajectory tracking of networked
Euler-Lagrange systems," in Proceedings of 2014 Chinese Control Conference, Nanjing, China, July 
2014, pp. 1568–1573. 

[20]	Y. P. Wang, L. Cheng, Z. G. Hou, and M. Tan, "Dynamic behaviro analysis on SISO multi-agent
systems in a noisy environment," in Proceedings of 2014 Chinese Control Conference, Nanjing, China,
July 2014, pp. 1377–1382. 

[21]	H. Y. Liu, L. Cheng, M. Tan, and Z. G. Hou, "Containment control of double-integrator 
multi-agent systems with aperiodic sampling: a small-gain theorem based method," in Proceedings
of 2014 Chinese Control Conference, Nanjing, China, July 2014, pp. 1407–1412. 

[22]	X. Q. Wang, Z. G. Hou, H. Zeng, M. Tan, and Y. J. Wang, "A comparison for probabilistic
spiking neuron model and spiking integrated and fired neuron model," in Proceedings of 2014 Chinese
Control Conference, Nanjing, China, July 2014, pp. 5059–5064. 

[23]	Y. Sun, F. S. Jing, and Z. Z. Liang, "Optimal state estimation for discrete-time systems 
with delayed measurements," in Proceedings of 2014 Chinese Control Conference, Nanjing, China, 
July 2014, pp. 9022–9026. 

[24]	S. F. Chen, and J. Z. Yu. "Underwater cave search and entry using a robotic fish with 
embedded vision," in Proceedings of 2014 Chinese Control Conference, Nanjing, China, July 2014,
pp. 8335–8340. 

[25]	R. Wang, X. G. Li, and S. Wang, "A laser scanning data acquisition and display system based
on ROS,"in Proceedings of 33rd Chinese Control Conference, July 2014, Nanjing, China, pp. 8433–8437.

[26]	D. Taylor, N. Scott, N. Kasabov, E. Capecci, E. Tu, N. Saywell, Y. X. Chen, J. Hu, and 
Z. G. Hou, "Feasibility of neucube SNN architecture for detecting motor execution and motor 
intention for use in BCI applications," in Proceedings of 2014 IEEE International Joint Conference
on Neural Networks, Beijing, China, July 2014, pp. 3221–3225. 

[27]	L. Vladareanu, O. Melinte, A. Bruja, S. Cang, H. N. Yu, H. B. Wang, X. J. Wang, Z. G. Hou,
and X. L. Xie, "Haptic interfaces for the rescue walking robots motion in the disaster areas," in
Proceedings of 2014 UKACC International Conference on Control, Loughborough, UK, July 2014, pp. 498–503. 

[28]	H. L. Wang, and L. Cheng, "Second-order consensus of networked mechanical systems with
communication delays," in Proceedings of 11th World Congress on Intelligent Control and Automation,
Shenyang, China, June–July2014, pp. 2126–2131. 

[29]	Y. Sun, F. S. Jing, and Z. Z. Liang, "Iterated extended kalman filter for time-delay 
systems with multi-sample-rate measurements," in Proceedings of 11th World Congress on Intelligent
Control and Automation, Shenyang, China, June–July 2014, pp. 4523–4527. 

[30]	F. H. Sun, J. Z. Yu, S. F. Chen, and D. Xu, "Active visual tracking of free-swimming 
robotic fish based on automatic recognition,"in Proceedings of 11th World Congress on Intelligent
Control and Automation, Shenyang, China, June–July 2014, pp. 2879–2885. 
[31]	Y. Wang, S. Wang, and M. Tan, "A path planning and following algorithm of observing 
targets for the UVMS Robocutt-I," in Proceeding of 11th World Congress on Intelligent Control 
and Automation, Shenyang, China, June–July2014, pp. 3083–3088. 

[32]	J. R. Liu, Z. J. Fang, K. Zhang, and M. Tan, "Improved high-speed vision system for 
table tennis robot," in Proceedings of 2014 IEEE International Conference on Mechatronics and 
Automation, Tianjin, China, Aug. 2014, pp. 652–657. 

[33]	W. B. Yuan, Z. Q. Cao, M. Tan, and J. Y. Liu, "Topological mapping and navigation based
on visual sensor network,"in Proceedings of 2014 IEEE International Conference on Mechatronics 
and Automation, Tianjin, China, Aug. 2014, pp. 1686–1690. 

[34]	P. Wei, Z. Q. Feng, X. L. Xie, G. B. Bian, and Z. G. Hou, "Haptic rendering of guide
wire manipulation in vascular surgery simulation,"in Proceedings of 2014 IEEE International 
Conference on Mechatronics and Automation, Tianjin, China, Aug. 2014, pp. 1248–1253. 

[35]	S. H. Mi, Z. G. Hou, and F. Yang, "An 3D interactive virtual reality software toolkit 
for minimally invasive vascular surgery," in Proceedings of 2014 IEEE International Conference 
on Mechatronics and Automation, Tianjin, China, Aug. 2014, pp. 588–593. 

[36]	X. L. Liu, Z. Q. Cao, C. Zhou, K. Ai, and M. Tan, "A universal vision-based roll angle 
estimation method for mobile robots," in Proceedings of 9th IEEE Conference on Industrial Electronics
and Applications, Hangzhou, China, June 2014, pp. 468–472. 

[37]	Q. P. Wei, S. Wang, C. Zhou, and M. Tan, "Course and depth control for a biomimetic underwater
vehicle – RobCutt-I,"in Proceedings of the International Offshore and Polar Engineering Conference,
Busan, Republic of Korea, June 2014, pp. 334–339. 

[38]	P. Kiddee, Z. J. Fang, and M. Tan, "Visual recognition of the initial and end points of lap
joint for welding robots," in Proceedings of 2014 IEEE International Conference on Information and 
Automation, Hailar, China, July 2014, pp. 513–518. 

[39]	S. H. Mi, Z. G. Hou, F. Yang, X. L. Xie, and G. B. Bian, "3D interactive virtual environments
for minimally invasive vascular surgery," in Proceedings of 2014 IEEE International Conference on 
Information and Automation, Hailar, China, July 2014, pp. 846–851. 

[40]	C. Zhou, Z. Gong, Brandon K. Chen, M. Tan, and Y. Sun, "Closed-loop controlled nanoprobing 
inside SEM," in Proceedings of 14th IEEE International Conference on Nanotechnology, Toronto, Canada,
Aug. 2014, pp. 45–48. 

[41]	Q. Liu, X. G. Zhao, and Z. G. Hou, "Metric learning for event-related potential component
classification in EEG signals," in Proceedings of 2014 European Signal Processing Conference, Lisbon,
Portugal, Sept2014, pp. 2005–2009. 

[42]	J. Hu, Z. G. Hou, Y. X. Chen, N. Kasabov, and N. Scott, "EEG-based classification of upper-limb
ADL using SNN for active robotic rehabilitation," in Proceedings of 2014 IEEE RAS/EMBS International
Conference on Biomedical Robotics and Biomechatronics, Sao Paulo, Brazil, Aug. 2014, pp. 409–414. 

[43]	M. Wen, X. Cheng, and L. Yang, "Optimizing the energy efficiency of OFDM with index modulation,"
in Proceedings of the IEEE International Conference on Communications Systems, Macau, China, Nov. 2014, 
pp. 31–35

[44]	T. Yang, R. Zhang, X. Cheng, and L. Yang, "Resource sharing for device-to-device communications
underlaying full-duplex cellular networks," in Proceedings of 2014 IEEE International Conference on
Communications Systems, Macau, China, Nov. 2014, pp. 16–20. 

[45]	Z. Li, X. Cheng, L. Yang, and B. Jiao, "Differential spatial modulated OFDM in underwater 
acoustic communications," in Proceedings of 2014 IEEE International Conference on Signal Processing,
Communications and Computing (ICSPCC2014), Guilin, China, Aug. 2014. pp. 913–918. 

[46]	X. Cheng, M. Wen, L. Yang, and Y. Li, "Index modulated OFDM with interleaved grouping for 
V2X communications," in Proceedings of 17th International IEEE Conference on Intelligent Transportation
Systems, Qingdao, China, Oct. 2014, pp. 1097–1104. 

[47]	C. J. Cheng, J. Wang, X. W. Liu, H. Mo, F. H. Zhu, and G. Xiong, "ACP approach based ontelligent
quality management system for manufacturing processes,"in Proceedings of 2014 IEEE International 
Conference on Service Operations and Logistics, and Informatics, Qingdao, China, Oct. 2014, pp. 244–247. 

[48]	X. Q. Shang, and B. L. Su, "Social manufacture cloud mode in high-end apparel, footwear and 
hats,"in Proceedings of 11th World Congress on Intelligent Control and Automation, Shenyang, China,
June–July 2014, pp. 5255–5260. 

[49]	S. F. Jing, X. W. Liu, C. J. Cheng, G. Xiong, and X. Q. Shang,"Study on a process safety 
management system–design of a chemical accident database," in Proceedings of 2014 IEEE International
Conference on Service Operations and Logistics, and Informatics, Qingdao, China, Oct. 2014, pp. 282–285. 

[50]	H. Gao, Y. F. Zhao, S. S. Li, and Q. J. Kong, "Paramics-based PD-type iterative learning 
control for on-ramp metering,"in Proceedings of 2014 IEEE International Conference on Service Operations
and Logistics, and Informatics, Qingdao, China, Oct. 2014, pp. 344–349. 

[51]	W. W. Kang, G. Xiong, Y. S. Lv, X. S. Dong, F. H. Zhu, and Q. J. Kong, "Traffic signal 
coordination for emergency vehicles," in Proceedings of 17th International IEEE Conference on 
Intelligent Transportation Systems, Qingdao, China, Oct. 2014, pp. 157–161. 

[52]	Y. F. Zhao, Q. J. Kong, H. Gao, F. H. Zhu, and F. Y. Wang, "Parallel management for traffic
signal control," in Proceedings of 17th International IEEE Conference on Intelligent Transportation 
Systems, Qingdao, China, Oct. 2014, pp. 2888–2893. 

[53]	Y. F. Zhao, H. Gao, Y. S. Lv, and Y. J. Duan, "Latent factor model for traffic signal 
control,"in Proceedings of 2014 IEEE International Conference on Service Operations and Logistics,
and Informatics, Qingdao, China, Oct. 2014, pp. 227–232. 

[54]	Y. F. Zhao, H. Gao, Y. S. Lv, and G. Xiong, "The application of recommendation systems," 
in Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and 
Informatics, Qingdao, China, Oct. 2014, pp. 233–237. 

[55]	Y. J. Duan, Y. S. Lv, W. W. Kang, and Y. F. Zhao, "A deep learning based approach for traffic
data imputation," in Proceedings of 17th International IEEE Conference on Intelligent Transportation
Systems, Qingdao, China, Oct. 2014, pp. 912–917. 

[56]	Y. L. Liu, Y. J. Duan, and W. W. Kang, "Semi-actuated arterial coordination for traffic 
control: A practical method," in Proceedings of 2014 IEEE International Conference on Service 
Operations and Logistics, and Informatics, Qingdao, China, Oct. 2014, pp. 222–226. 

[57]	X. S. Dong, Y. Liu, F. H. Zhu, and G. Xiong, "Parallel transportation management and control
system for subway systems based on ACP approach," in Proceedings of 17th International IEEE Conference
on Intelligent Transportation Systems, Qingdao, China, Oct. 2014, pp. 2906–2911. 

[58]	G. Xiong, Y. R. Chen, X. Q Shang, X. W. Liu, and Timo R. Nyberg, "AHP fuzzy comprehensive 
method of supplier evaluation in social manufacturing mode," in Proceedings of 11th World Congress
on Intelligent Control and Automation, Shenyang, China, June–July2014,pp. 3594–3599. 

[59]	G. Xiong, F. H. Zhu, and X. S. Dong, "Novel ITS based on space-air-ground collected big-data,"
in Proceedings of 17th International IEEE Conference on Intelligent Transportation Systems, 
Qingdao, China, Oct. 2014, pp. 1509–1514. 

[60]	Y. Chen, S. Lin, G. Xiong, Q. J. Kong, and F. H. Zhu, "A computational experiment method
in ACP framework for complex urban traffic networks,"in Proceedings of 17th International IEEE 
Conference on Intelligent Transportation Systems, Qingdao, China, Oct. 2014, pp. 2894–2899. 
[61]	J. Q. Shen, and Q. J. Kong, "Prediction and evaluation of traffic states at signalized
intersections," in Proceedings of 2014 IEEE International Conference on Service Operations and 
Logistics, and Informatics, Qingdao, China, Oct. 2014, pp. 272–276. 

[62]	S. Lin, and Q. J. Kong, "A model-based demand-balance control for complex urban traffic 
networks," in Proceedings of 17th International IEEE Conference on Intelligent Transportation 
Systems, Qingdao, China, Oct. 2014, pp. 2900–2905. 

[63]	Y. Yuan, F. Wang, J. Li, and R. Qin, "A survey on real time bidding advertising," in 
Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and 
Informatic, Qingdao, China, Oct. 2014, pp. 418–423. 

[64]	J. Li, Y. Yuan, and R. Qin, "Information disclosure in real-time bidding advertising 
markets,"in Proceedings of 2014 IEEE International Conference on Service Operations and Logistics,
and Informatic, Qingdao, China, Oct. 2014, pp. 139–143. 

[65]	J. Zhang, S. Zeng, W. Liu, F. Wang, and C. L. Philip Chen, "A social choice force model 
for estimating collective action manipulation,"in Proceedings of 19th World Congress of the
International Federation of Automatic Control, Cape Town, South Africa, Aug. 2014, pp. 9847–9852. 

[66]	R. Qin, Y. Yuan, and J. Li, "A two-stage fuzzy budget allocation model in search auctions,"
in Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and 
Informatic, Qingdao, China, Oct. 2014, pp. 144–148. 

[67]	R. Qin, Y. Yuan, J. Li, and Y. Yang, "A stochastic model for budget distribution over 
time in search advertisements," in Proceedings of 2014 IEEE International Conference on Service
Operations and Logistics, and Informatic, Qingdao, China, Oct. 2014, pp. 166–171. 

[68]	T. Wang, Z. Liu, K. Cui, J. Zhang, F. Y. Wang, and C. L. Philip Chen, "On mobilizing 
processes of cyber movement organizations,"in Proceedings of 19th World Congress of the 
International Federation of Automatic Control, Cape Town, South Africa, Aug. 2014, pp. 9853–9857. 

[69]	X. Wang, K. Zeng, X. Zhao, and F. Y. Wang, "Using web data to enhance traffic situation 
awareness,"in Proceedings of 17th International IEEE Conference on Intelligent Transportation 
Systems, Qingdao, China, Oct. 2014, pp. 195–199. 

[70]	K. Zeng, X. Wang, Q. Zhang, X. Zhang, F. -Y. Wang, "Behavior modeling of internet water
army in online forums,"in Proceedings of 19th World Congress of the International Federation of
Automatic Control, Cape Town, South Africa, Aug. 2014, pp. 9858–9863. 

[71]	C. Gou, K. Wang, B. Li, and F. Y. Wang, "Vehicle license plate recognition based on 
class-specific ers and SaE-ELM," in Proceedings of 17th International IEEE Conference on 
Intelligent Transportation Systems, Qingdao, China, Oct. 2014, pp. 2956–2961. 

[72]	Z. Shen, K. Wang, F. Y. Wang, C. L. Philip Chen, "GPU based genetic algorithms for the 
dynamic sub-area division problem of the transportation system,"in Proceedingo of 19th World 
Congress of the International Federation of Automatic Control, Cape Town, South Africa, Aug. 
2014, pp. 5115–5120. 

[73]	X. L. Guo, T. Li, and H. X. Zhao, "PI controller design for network control system 
based on minimum entropy control,"in Proceedings of 2014 IEEE International Conference on 
Service Operations and Logistics, and Informatic, Qingdao, China, Oct. 2014, pp. 368–371. 

[74]	M. H. Lv, and H. X. Zhao, "Research on multi-dimensional data visualization analysis
of large enterprise's purchasing fund," in Proceedings of 2014 IEEE International Conference 
on Service Operations and Logistics, and Informatic, Qingdao, China, Oct. 2014, pp. 213–216. 

[75]	X. Chen, C. H. Wang, B. H. Xiao, and C. Zhang, "Still-to-video face recognition via
weighted scenario oriented discriminant analysis," in Proceedings of 2014 International Joint
Conference on Biometrics, Florida, USA, Sept–Oct. 2014, pp. 1–6. 

[76]	X. Chen, C. H. Wang, B. H. Xiao, and X. Y. Cai, "Learning associate appearance manifolds
for cross-pose face recognition," in Proceedings of 2014 International Conference on Image 
Processing, Paris, France, Oct. 2014, pp. 1907–1911. 

[77]	X. Chen, C. H. Wang, B. H. Xiao, and X. Y. Cai, "Scenario oriented discriminant analysis
for still-to-video face recognition," in Proceedings of 2014 International Conference on Image
Processing, Paris, France, Oct. 2014, pp. 738–742. 

[78]	S. Gao, C. H. Wang, B. H. Xiao, C. Z. Shi, and Z. Zhang, "Stroke bank: a high-level 
representation for scene character recognition,"in Proceedings of 22nd International Conference
on Pattern Recognition, Stockholm, Sweden, Aug. 2014. pp. 2909–2913. 

[79]	S. Gao, C. H. Wang, B. H. Xiao, C. Z. Shi, W. Zhou, and Z. Zhang, "Learning co-occurrence
strokes for scene character recognition based on spatiality embedded dictionary," in Proceedings 
of 2014 International Conference on Image Processing, Paris, France, Oct. 2014, pp. 5956–5960. 

[80]	H. W. Qiu, B. H. Xiao, C. H. Wang, and S. Gao, "Linedcut: image segmentation using 
single line interaction," in Proceedings of 7th International Congress on Image and Signal
Processing, Dalian, China, Oct. 2014, pp. 415–419. 

[81]	C. Luo, X. Zheng, and D. Zeng, "Causal inference in social media using convergent cross
mapping,"in Proceedings of 2014 IEEE Joint Intelligence and Security Informatics Conference, 
The Hague, The Netherlands, Sept 2014, pp. 260–263. 

[82]	C. Luo, K. Cui, X. Zheng, and D. Zeng, "Time critical disinformation influence minimization
in online social networks," in Proceedings of 2014 IEEE Joint Intelligence and Security Informatics
Conference, The Hague, The Netherlands, Sept 2014, pp. 68–74. 

[83]	S. He, X. Zheng, X. Bao, H. Ma, D. Zeng, B. Xu, G. Tian, and H. Hao, "Ranking online memes
in emergency events based on transfer entropy," in Proceedings of 2014 IEEE Joint Intelligence and
Security Informatics Conference, The Hague, The Netherlands, Sept 2014, pp. 236–239. 

[84]	Q. Kong, W. Mao, D. Zeng, and L. Wang, "Predicting popularity of forum threads for public 
events security,"in Proceedings of 2014 IEEE Joint Intelligence and Security Informatics Conference, 
The Hague, The Netherlands, Sept 2014, pp. 99–106. 

[85]	Y. Zhang, W. Mao, D. Zeng, N. Zhao, and X. Bao, "Exploring opinion dynamics in security-related
microblog data," in Proceedings of 2014 IEEE Joint Intelligence and Security Infor­matics Conference,
The Hague, The Netherlands, Sept 2014, pp. 284–287. 

[86]	S. He, X. Zheng, D. Zeng, B. Xu, C. Li, andH. Hao, "Characterizing emotion en–trainment 
in social media," in Proceedings of 2014 IEEE/ACM International Conference on Advances in Social
Network Analysis and Mining, Beijing, China, Aug. 2014, pp. 642–648. 

[87]	J. Liu, Z. Cao, and D. Zeng, "Predicting popularity of microblogs in emerging disease 
event,"in Proceedings of 2014Web-Age Information Management, Macau, China, June 2014, pp. 3–13. 

[88]	K. Cui, X. Zheng, C. Zeng, andS. Leischow, "An empirical analysis on communications about
electronic nicotine delivery systems (ENDS) in chinese social media,"in Proceedings of 2014 
International Conference on Smart Health, Lecture Notes in Computer Science, Beijing, China, 
July 2014, vol. 8549, pp. 37–43. 

[89]	K. N. Cui, X. L. Zheng, Z. Zhang, and D. Zeng, "Analyzing spatial-temporal patterns of 
online public attentions in emergency events: a case study of 2009 H1N1 influenza outbreak in 
china," in Proceedings of 2014 International Conference for Smart Health, Beijing, China, July 
2014, pp. 44–50. 

[90]	Q. Wei, D. Liu, G. Shi, Y. Liu, and Q. Guan, "Optimal self-learning battery control in 
smart residential grids by iterative Q-learning algorithm,"in Proceedings of 2014IEEE Symposium 
on AdaptiveDynamic Programming and Reinforcement Learning, Orlando, FL, Dec. 2014. pp. 1–7. 
[91]	H. Ma, D. Liu, D. Wang, and H. Li, "Output-based high-order bipartite consensus under 
directed antagonistic networks," in Proceedings of 2014IEEE Symposium on Intelligent Agents, 
Orlando, FL, Dec. 2014. pp. 16–21. 

[92]	X. Yang, D. Liu, and Q. Wei, "Reinforcement-learning-based controller design for 
nonaffine nonlinear systems," in Proceedings of 2014International Symposium on Neural Networks,
Hong Kong &Macao, China, Nov. 2014, pp. 51–58. 

[93]	Q. Wei, D. Liu, and X. Yang, "Discrete-time nonlinear generalized policy iteration 
for optimal control using neural networks," in Proceedings of 21st International Conference
on Neural Information Processing, Kuching, Malaysia, Nov. 2014, pp. 389–396. 

[94]	Z. Wang, and D. Liu, "Data-based characteristics analysis for linear discrete-time 
systems," in Proceedings of 19th IFAC Triennial World Congress, Cape Town, South Africa,
Aug. 2014, pp. 4993–4998. 

[95]	Q. Wei, and D. Liu, "Nearly optimal control scheme for discrete-time nonlinear 
systems with finite approximation errors using generalized value iteration algorithm," 
in Proceedings of 19th IFAC Triennial World Congress, Cape Town, South Africa, Aug. 2014,
pp. 4134–4139. 

[96]	X. Yang, D. Liu, D. Wang, and H. Ma, "Constrained online optimal control for 
continuous-time nonlinear systems using neuro-dynamic programming," in Proceedings of 
33rd Chinese Control Conference, Nanjing, China, July 2014, pp. 8717–8722. 

[97]	D. Wang, D. Liu, H. Li, and X. Yang, "Robust optimal control for a class of 
nonlinear dynamic systems using single network adaptive dynamic programming," in Proceedings
of 33rd Chinese Control Conference, Nanjing, China, July 2014, pp. 8711–8716. 

[98]	F. Tan, D. Liu, and X. Guan, "Online optimal control for VTOL aircraft system based
on DHP algorithm," in Proceedings of 33rd Chinese Control Conference, Nanjing, China, July 
2014, pp. 2882–2886. 

[99]	H. Li, D. Liu, D. Wang, and C. Li, "Data-driven iterative adaptive dynamic
programming algorithm for approximate optimal control of unknown nonlinear systems,"
in Proceedings of 2014 International Joint Conference on Neural Networks, Beijing, 
China, July 2014, pp. 3265–3271. 

[100]	F. Tan, D. Liu, X. Guan, and B. Luo, "Unmanned aerial vehicles (UAV) heading optimal
tracking control using online kernel-based HDP algorithm," in Proceedings of 2014 International
Joint Conference on Neural Networks, Beijing, China, July 2014, pp. 2683–2689. 

[101]	X. Yang, D. Liu, and Q. Wei, "Near-optimal online control of uncertain nonlinear 
continuoustime systems based on concurrent learning," in Proceedings of 2014 International
Joint Conference on Neural Networks, Beijing, China, July 2014, pp. 231–238. 

[102]	Q. Wei, andD. Liu, "Optimal learning control for discrete-time nonlinear systems
using generalized policy iteration based adaptive dynamic programming," in Proceedings of
2014 World Congress on Intelligent Control and Automation, Shenyang, China, June 2014, 
pp. 1781–1786. 

[103]	C. Li, D. Liu, H. Li, and D. Wang, "Decentralized control for a class of nonlinear
interconnected systems using integral policy iteration,"in Proceedings of 2014 World Congress
on Intelligent Control and Automation, Shenyang, China, June 2014, pp. 313–318. 

[104]	Z. Y. Liu, H. Qiao, and J. H. Su, "MAP inference with MRF by graduated non-convexity
and concavity procedure," in Proceedings of 21st International Conference on Neural Information
Processing, Kuching, Malaysia, Nov. 2014, pp. 404–412. 

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