home biography honor supervising

Books:

[1] Bo Zhang and Ling Zhang, Theory and Applications of Problem Solving, Elsevier Science Publishers B. V., North-Holland, 1992.
[2] Ling Zhang and Bo Zhang*, Quotient Spaces and Granular Computing (chapter), In Handbook of Granular Computing (pp411-424) , Witold Pedrycz (Editor), Andrzej Skowron (Co-Editor), Vladik Kreinovich (Co-Editor) , John Wiley & Sons Ltd, England, 2008.
[3] Ling Zhang and Bo Zhang, Multi-granular computing and Quotient Structure, In Encyclopedia of Complexity and System Science (v.1-10), Meyers, Robert A. (Ed.), Springer, 1 edition (May 31, 2009).

Papers:

[1] Ling Zhang & Bo Zhang, The statistical inference method in heuristic search techniques, Proc. of 8th International Joint Conference on Artificial Intelligence (IJCAI), Karlsruhe, FRG, pp757-759, 1983.
[2] R.T. Chen, Ling Zhang and Bo Zhang, Planning collision-free paths for robotic arm among obstacles, IEEE Trans. Vol. PAMI-6, no.1, pp91-96, Jan. 1984.
[3] Ling Zhang & Bo Zhang, The successive SA search and its computational complexity, Proc. of 6th European Conference on Artificial Intelligence, Pisa, Italy, pp249-258, 1984.
[4] Bo Zhang & Ling Zhang, A weighted technique in heuristic search, Proc. of 9th IJCAI, Los Angeles, USA, pp1037-1039, 1985.
[5] Bo Zhang & Ling Zhang, Planning collision-free paths for three -dimensional object with rotation, The First Sino-France International Conference on Robotics, Shenyang, China, Oct., 1985.
[6] Bo Zhang & Ling Zhang, Statistical heuristic search, Journal of Computer Science & Technology, 2(1), pp1-11, Jan. 1987.
[7] Bo Zhang, Ling Zhang et al, An algorithm for findpath with rotation, Proc. of IEEE on SMC, Beijing, China, pp795-798, 1988.
[8] H. B. Wang, C. Li & Bo Zhang et al, Planning based on conflict directed backtracking, Proc. of IEEE on SMC, Beijing, pp777-780, 1988.
[9] W. X. Zhang, Bo Zhang et al, An algorithm for hierarchical robot planning, Proc. of IEEE on SMC, Beijing, pp909-912, 1988.
[10] Bo Zhang, Ling Zhang et al, A findpath algorithm for a manipulator by finite division of configuration space, Robotics and Manufacturing, Recent Trends in Research, Education, and Applications, M. Jamshidi (eds), ASME Press, New York, pp99-106, 1988.
[11] Bo Zhang, Ling Zhang and Tian Zhang, Motion planning of multi-joint arm with topological reduction method, Proc. of 11th IJCAI, Detroit, USA, pp1029-1034, 1989.
[12] Bo Zhang & Ling Zhang, The comparison between the statistical heuristic search and A*, J. of Comput Sci. & Technol., 4(2), pp126-132, 1989.
[13] Yanhong Liu, Bo Zhang et al, A formalized uncertainty model that combines qualitative partition and quantitative description in multifactor combination problems, Third IFSA conference, Seattle, 1989.
[14] H. Wang, Bo Zhang, Labeling temporal relations of time intervals, 2nd Int. Conf. on Artificial Intelligence, Mexico, 1989.
[15] Bo Zhang & Ling Zhang, A relation matrix to labeling temporal relation in scheduling, Proc. of 1990 Japan-USA Symposium on Flexible Automation-A Pacific Rim Conference, Kyoto, Japan, July 1990,
[16] Bo Zhang & Ling Zhang et al, Motion planning for robots with topological dimension reduction method, J. of Comput. Sci. & Technol., 5(1), pp1-16, 1990.
[17] Bo Zhang & Ling Zhang, Hierarchy and statistical heuristic search, Future Generation Computer Systems (Netherlands), 6(1), pp43-47, 1990.
[18] Bo Zhang, Ling Zhang, The automatic generation of mechanical assembly plans, Proc. of Pacific Rim International Conference on Artificial Intelligence, Nagoya, Japan, 1990.
[19] Haizhou Ai, Bo Zhang et al, A line-segment-based vision system, Proc. of Pacific Rim Conference on Artificial Intelligence, Nagoya, Japan, 1990.
[20] Bo Zhang & Ling Zhang, A relation matrix approach to labeling temporal relations in scheduling, J. of Comput. Sci. & Technol., 6(4), pp339-346, 1991.
[21] Bo Zhang & Ling Zhang, The quantitative description of PLN network's behaviors, International Conference on Artificial Neural Networks, Espoo, Finland, 1991.
[22] Tianmiao Wang, Bo Zhang, Time varying potential based perception action behaviors for mobile robot, IEEE on Robotics & Automation, Nice, France, pp2549-2554, May 1992.
[23] Tianmiao Wang, Bo Zhang, Behavior control based resolution trapped local minima of mobile robot, 1992 American Control Conference, Chicago, USA, June 1992.
[24] Tianmiao Wang, Bo Zhang, Hamming network based behavior planning for mobile robot, Proc. of International Joint Conference on Neural Networks, Beijing, III 70-73, Nov. 1992.
[25] Wenju Liu, Bo Zhang, A directly computing method for weights of multi-layer feedforward neural network, Proc. of International Joint Conference on Neural Networks, Beijing, II 550-554, Nov. 1992.
[26] Yongcheng Li, Bo Zhang, Reaction based planning, Proc. 0f 2nd Pacific Rim International Conference on AI, Seoul, Korea, pp308-314, Sept. 1992.
[27] Yongcheng Li, Bo Zhang, Reachability analysis for motion planning with uncertainty, Proc. of Int. Conf. on Intelligent Information Processing & System, Beijing, pp443-446, Oct. 1992.
[28] Wenju Liu, Bo Zhang, A best learning algorithm of multi-layer feedforward neural networks for associative memory, Proc. of Int. Conf. on Intelligent Information Processing & System, Beijing, pp475-478, Oct. 1992.
[29] Yongcheng Li, Bo Zhang, Motion planning for a reactive assembly robot, Second Int. Conf. on Automation, Robotics & Computer Vision, Singapore, Sept. 1992.
[30] Hong Wang, Bo Zhang, Map based path planning and navigation system under multi-constraints for an autonomous mobile robot, Second Int. Conf. on Automation, Robotics & Computer Vision, Singapore, Sept. 1992.
[31] Hong Wang, Bo Zhang, Spatial information processing and hierarchical path planning for an intelligent mobile robot, Proc. of the Int. Conf. on Intelligent Information Processing & System, Beijing, pp295-298, Oct. 1992.
[32] Yongcheng Li, et al, Computer animation of robot motion with collision-free path planning, in Creating and Animating the Virtual World, M. Thalmann (Eds.), Spinger-Verlag, 149-161, 1992.
[33] Wang Tianmiao, Zhang Bo, et al, Mobile robot control based on dynamic potential, Chinese J. of Systems Engineering & Electronics, 3(1), pp. 73-82, 1992.
[34] Bo Zhang, Ling Zhang, et al, A quantitative analysis of behaviors of the PLN network, Neural Networks, 5, pp.639-644, 1992.
[35] Bo Zhang & Ling Zhang, An algorithm for finding D-time table, J. of Comput. Sci. & Technol., 7(1), pp62-67, 1992.
[36] Tao Lu, Bo Zhang et al, Assembly sequence planning based on graph reduction, Proc. of IEEE Region 10 Int. Conf. on Computers, Communication, Control, and Power Engineering, Beijing, pp119-122, Oct. 1993.
[37] Tao Lu, Bo Zhang et al, Assembly oriented product model with applications, Int. Conf. on SIM, Beijing, 1993.
[38] Tao Lu, Bo Zhang et al, Automatic assembly sequence generation in knowledge-based robotic assembly oriented CAD system, 2nd Int. Conf. on SIM, Singapore, 1993.
[39] Tao Lu, Bo Zhang et al, On-line opportunistic scheduling in multi-robot assembly system, the 2nd Int. Conf. on SIM, Singapore, 1993.
[40] Yongcheng Li, Bo Zhang, A robust motion planner for assembly robots, Proc. of 1993 IEEE Int. Conf. on Robotics & Automation, pp1026, May 1993.
[41] Wenju Liu, Bo Zhang, Constructing OGGEB expert system for evaluating oil shale based on blocks of neural networks, Int. 93 Moscow Conf. on Signal & Data Acquisition & Processing, Moscow, June 1993.
[42] Wenju Liu, Bo Zhang, A class of coding with fault-tolerance property orienting neural network and decoding with error-correcting ability by neural network, World Congress on Neural Network, Portland, USA, 1993.
[43] T. N. Kortua, Bo Zhang, Manufacturing intelligent control with computer networks and expert systems, Int. 93 Moscow Conf. on Signal & Data Acquisition & Processing, Moscow, June 1993.
[44] Hong Wang, Bo Zhang, Application of artificial intelligence in path planning for an autonomous mobile robot, Int. Computing Congress: Applications & Management of AI Technology, India, Dec. 1993.
[45] Yongcheng Li, Bo Zhang, A topological implementation for motion planning of a robot arm, J. of Comput. Sci. & Technol., 8(1), 1993, 1-10.
[46] Zhang Bo and Zhang Ling, On Memory capacity of the probabilistic logic neural network, J. Compt. Sci. & Technol, .8(3), pp.252-256, 1993.
[47] Zhang Bo and Zhang Ling, The complexity of recognition in the single-layered PLN network with feedback connections, J. Compt. Sci. & Technol., 8(4), pp.317-321, 1993.
[48] Biqing Huang & Bo Zhang, Temporal interval (TI)-based and TI-evaluation-based hierarchical scheduling model, Chinese J. of Software, 1(1), 1994.
[49] Biqing Huang, Bo Zhang, A new scheduling model based on extended Petri net-TREM, Proc. of 1994 IEEE Int. Conf. on Robotics & Automation, San Diego, 1994.
[50] Mei Han, Bo Zhang, Applications of programming based learning algorithms in associative memory, Proc. of the 3rd Pacific Rim International Conference on AI, Beijing, pp1064-1070, Aug. 1994.
[51] Mei Han, Bo Zhang, Control of robotic manipulators using a CMAC-based reinforcement learning system, Proc. of Annual International Conference on Intelligent Robots and Systems, Germany, pp2117-2122, Sept. 1994.
[52] Mei Han, Bo Zhang, A model for invariant object recognition using programming based learning algorithm, Proc. of Second Singapore International Conference on Intelligent Systems, Singapore, pp 495-500, Nov. 1994.
[53] Mei Han, Bo Zhang, Moving objects recognition and motion prediction using neural networks, 1994 IEEE Int. Conf. On Industry Technology, Guangzhou, China, Dec. 1994.
[54] Da Yu, Bo Zhang, An hierarchical PETRI net model of scheduling problem, IEEE Int. Conf. on Industrial Technology, Guangzhou, China, Dec. 1994.
[55] Biqing Huang, Bo Zhang et al, Scheduling model on temporal interval (TI) hierarchy, Proc. Of Int. Conf. On Systems Analysis, Control and Design, London, Sept. 1993, in Advances in Modeling and Analysis A, 21(3), pp47-57, 1994.
[56] Biqing Huang, Bo Zhang & Jingtai Quan, Scheduling model on temporal interval (TI) hierarchy, Advances in Modeling and Analysis A, 21(3), pp47-57, 1994.
[57] Zhang Bo and Zhang Ling, Quantitative analysis of the attractive region of PLN networks, Chinese J. Advanced Software Research, 1(3), pp.202-213, 1994.
[58] Zhang Ling, Zhang Huai, and Zhang Bo, A generalized PLN network and its application in associative memory, Chinese J. Advanced Software Research, 2(3), pp.205-218, 1995.
[59] Bo Zhang, Ling Zhang, et al, Programming based learning algorithms of neural networks with self-feedback connections, IEEE Transaction on Neural Networks, 6(3), pp.771-775, 1995.
[60] Bo Zhang, Ling Zhang, et al, The complexity of learning in PLN networks, Neural Networks, 8(2), pp221-228, 1995.
[61] Zhang Bo and Zhang Ling, The generation of a sort of fractal graphs, J. Compt. Sci. & Technol., 10(2), pp.104-110, 1995.
[62] Yao Shu and Zhang Bo, Situated learning of a behavior-based mobile robot path planner, J. Compt. Sci. & Technol., 10(4), pp275-379, 1995.
[63] Jiang Shan, Bo Zhang, Synchronous classification in off-line Chinese character recognition, IEEE Int. Conf. On SMC, Canada, 1995.
[64] Jian Shan, Bo Zhang, Handwriting Chinese character recognition based on character archetype, the 2nd Int. Symposium on Natural Language Processing, Thailand, Aug. 1995.
[65] Da Yu, Bo Zhang, Chen Chen, Reduced Petri nets: a new model of scheduling problem, IASTED Int. Conf. On Modeling and Simulation, Colombo, July 1995.
[66] Changqing Liu, Bo Zhang, An urn model for instrumental conditioning, Proc. of IEEE Int. Conf. on Systems, Man and Cybernetics, Beijing, vol.3, pp2327-2332, 1996.
[67] Da Yu, Bo Zhang, An approach to scheduling problem: model and algorithm, IEEE Int. Conf. on SMC Beijing, 1996.
[68] Xiping Tao, Bo Zhang, Perception-action method for mobile robot plan and control based on driving experience, IEEE Int. Conf. on SMC, Beijing, 1996.
[69] Changqing Liu, Bo Zhang, An urn model for autonomous learning, Proc. of 13th European Meeting on Cybernetics and Systems Research, 1996, pp. 1147-1152.
[70] Changqing Liu, Bo Zhang, A conceptual framework for defining emotion concepts, Proc. of 18th Annual Conference of Cognitive Science, 1996.
[71] Changqing Liu, Bo Zhang, Defining the concept of emotion: a formal approach, XXVI Int. Conf. Of Psychology, 1996.
[72] Yuyu Chen, Bo Zhang, Band-limited combined orthonormal wavelet bases, Proc. of IEEE Region Ten Conference on Digital Signal Processing Applications, Perth, Australia, 1996.
[73] Xiping Tao, Bo Zhang et al, ALV navigation and control based on potential-fuzzy neural network, Int. Conf. On Intelligent Autonomous Systems, Mar. 1996.
[74] Xiping Tao, Bo Zhang, et al, Navigation for mobile robot based on multi-sensor fusion, Proc. Of the annual Chinese Automation Conf., Oxford, pp129-132, Sept. 1996.
[75] Ling Zhang, Bo Zhang, et al, Generating and coding of fractal graphs by neural network and mathematical morphology methods, IEEE Transaction on Neural Networks, 7(2), pp.400-407, 1996.
[76] Simin He, Bo Zhang, Solving SAT by readable transform of Wu's method, Poster Session of The 15th Int. Joint Conf. on AI, Nagoya, Japan, 1997.
[77] Bo Zhang, The analysis and improvement of artificial neural network models, IEEE Int. Conf. on Intelligent Processing Systems, Beijing, China, pp 7-13, Oct. 1997.
[78] Zhang Bo and Zhang Ling, The analysis and improvement of Artificial neural network models, in Proc. IEEE International Conference on Intelligent Processing Systems, Beijing, China, Vol.1, pp7-13, Oct. 1997.
[79] Bo Zhang, AI in assembly planning, Int. Conf. on Artificial Intelligence for Engineering, Wuhan, China, pp 1-4, June 1998.
[80] Jianmin Li, Bo Zhang, et al, A Chinese text-to-speech system for people with disabilities, Proc. of the XV World Computer Congress, Vienna, Austria and Budapest, Hungary, pp 465-473,1998.
[81] Ling Zhang and Bo Zhang, A geometrical representation of McCulloch-Pitts neural model and its applications, IEEE Trans. on Neural Networks, 10(4), pp.925-929, 1999.
[82] L. Zhang and B. Zhang, Neural network based classifiers for a vast amount of data, in Lecture Notes in Artificial Intelligence 1574, pp. 238-246, Ning Zhong (Eds.), Springer 1999.
[83] Bo Zhang, Artificial neural network and its applications to pattern recognition, International Computation Congress CIC 99, Mexico, Nov. 1999.
[84] He Simin and Zhang Bo, Solving SAT by algorithm transform of Wu's method, J. Compt. Sci. & Technol., 14(5), pp.468-480, 1999.
[85] Mingrui Wu, Bo Zhang, A neural network based classifier for handwritten Chinese character recognition, In Proc. of 15th Int. Conf. on Pattern Recognition, vol. II, 561-564, Barcelona, Spain, Sept. 3-7, 2000
[86] Ling Zhang and Bo Zhang, Statistical learning theory and its application to pattern recognition, SPIE Second International Symposium on Multispectral Image Processing and Pattern Recognition, Wuhan, China, Aug. 2001.
[87] Lei Zhang, Bo Zhang, et al, Support vector machine learning for image retrieval, In Proc. of IEEE Int. Conf. on Image Processing, 2387-2391, Thessaloniki, Greece, Oct. 3-7, 2001
[88] Minghu Jiang, Bo Zhang, A hybrid algorithms of global optimization of dynamic learning rate for feedforward neural networks, Chinese Journal of Electronics (NN5.doc), No.2, 2001£¬pp.214-218.
[89] Lei Zhang, Bo Zhang, et al, A novel learning technique based on neural network for image retrieval, IASTED Int. Conf. on Signal Processing, Pattern & Applications, Thessaloniki, Greece, July, 2001.
[90] Feng Jing, Bo Zhang, Fuzong Lin, Wei-Ying Ma, Hong-Jiang Zhang, "A Novel Region-Based Image Retrieval Method Using Relevance Feedback", Proc. 3rd ACM Intl Workshop on Multimedia Information Retrieval, 2001.
[91] Minghu Jiang, Bo Zhang, et al, A fast hybrid algorithm of global optimization fro feedforward neural networks, Chinese Journal of Electronics, 10(2), pp.214-218, 2001.
[92] Zhang Ling & Zhang Bo, Relationship between support vector set and kernel functions in SVM, J. Compt. Sci. & Technol., 17(5), pp.549-555, 2002.
[93] Feng Jing, Mingjing Li, Hong-Jiang Zhang, Bo Zhang, "Region-based relevance feedback in image retrieval", Proc. IEEE International Symposium on Circuits and Systems, 2002.
[94] Feng Jing, Mingjing Li, Hong-Jiang Zhang, Bo Zhang, "Learning Region Weighting from Relevance Feedback in Image Retrieval", Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2002.
[95] Feng Jing, Mingjing Li, Hong-Jiang Zhang, Bo Zhang, "An Effective Region-based Image Retrieval Framework", Proc. ACM Multimedia, 2002. (accept rate: 14%)
[96] Pin Tao, Bo Zhang et al, The learning algorithm of constructive NN, Proc. Of the 4th World Congress on Intelligent Control & Automation, Shanghai, China, 2002.
[97] Pin Tao, Bo Zhang et al, 3D feature recognition based on CNN, Proc. Of the 4th World Congress on Intelligent Control & Automation, Shanghai, China, 2002.
[98] Bo Zhang, Dianxun Shuai and Ling Zhang, Information processing and Exploitation under Internet (invited lecture), in Proceeding of International Workshop on Information & Electrical Engineering, pp3-7, Kyung Hee University, Korea, May 16-17, 2002.
[99] Jianmin Li, Bo Zhang, Fuzong Lin, A new strategy for selecting working sets applied in SMO, in Proc. of 16th International Conference on Pattern Recognition, Quebec City, Canada, 11-15 August, 2002.
[100] Bo Zhang, Ling Zhang, Granular computing and human cognition, KAIST-Tsinghua Joint Workshop on Brain Science and Human-like Technology, pp37-49, Daejion, Korea, Oct. 22-23, 2002.
[101] Ling Zhang, Bo Zhang, Artificial intelligence and human learning, KAIST-Tsinghua Joint Workshop on Brain Science and Human-like Technology, pp51-67, Daejion, Korea, Oct. 22-23, 2002.
[102] Li JM, Zhang B, Lin FZ, A new strategy for selecting working sets applied in SMO, 16th International Conference on Pattern Recognition (ICPR), AUG 11-15, 2002, 16th International Conference On Pattern Recognition, Vol. III, Proceedings, 427-430, 2002, VOL III, 427-430.
[103] Li JM, Zhang B, Lin FZ, A new cache replacement algorithm in SMO, Pattern Recognition with Support Vector Machines, First International Workshop, SVM2002, Lecture Notes in Computer Science 2388, 342-353.
[104] Ming Yang, Bin Dong, Hong Wang, Bo Zhang, "Real-time pose estimation for outdoor mobile robots using range data", in Proc. of 16th International Conference on Pattern Recognition, Quebec City, Canada, 11-15 August, 2002.
[105] Fang Qian, Mingjing Li, Lei Zhang, Hong-Jiang Zhang, Bo Zhang, "Gaussian mixture model for relevance feedback in image retrieval", IEEE International Conference on Multimedia and Expo, August 26-29, 2002, Lausanne, Switzerland, 2002,
[106] Feng Jing, Mingjing Li, Hong-Jiang Zhang, Bo Zhang, "Unsupervised Image Segmentation Using Local Homogeneity Analysis", Proc. IEEE International Symposium on Circuits and Systems, 2003.
[107] Feng Jing, Mingjing Li, Hong-Jiang Zhang, Bo Zhang, "Support Vector Machines for Region-Based Image Retrieval", Proc. IEEE International Conference on Multimedia & Expo, 2003.
[108] Minghu Jiang, Georges Gielen, Bo Zhang, et al, Fast learning algorithms for feedforward Neural Networks, Applied Intelligence, Vol.18, No.1, pp.37-54, Jan/Feb, 2003, Kluwer Academic Publ.
[109] Fang Qian, Fuzong Lin and Bo Zhang, "Constructive learning algorithm-based RBF network for relevance feedback in image retrieval", International Conference on Image and Video Image Retrieval, Beckman Institute, University of Illinois at Urbana-Champaign, July 24-25, 2003.
[110] Fang Qian, Mingjing Li, Hong-Jiang Zhang, Wei-Ying Ma, and Bo Zhang, Alternating feature space in relevance feedback, Multimedia Tools and Applications.
[111] Feng Jing, Mingjing Li, Hong-Jiang Zhang, Bo Zhang, "Relevance Feedback for Keyword and Visual Feature-based Image Retrieval", Proc. International Conference on Image and Video Retrieval, 2004.
[112] Feng Jing, Bo Zhang, Mingjing Li, Hong-Jiang Zhang, Jianwei Zhang, "Learning in hidden annotation-based image retrieval", Proc. 17th IEEE International Conference on Pattern Recognition, 2004.
[113] Ling Zhang, Bo Zhang, The Quotient Space Theory of Problem Solving, Fundamenta Informaticae, 59 (2,3)2004:287-298, IOS Press(Poland).
[114] Feng Jing, Mingjing Li, Hong-Jiang Zhang, Bo Zhang, Relevance Feedback in Region-based Image Retrieval, IEEE Transaction on Circuits and Systems for Video technology, vol.14, no.5, May 2004, pp.672-681.
[115] Feng Jing, Mingjing Li, Hong-Jiang Zhang, Bo Zhang, An Efficient and Effective Region-based Image Retrieval Framework, IEEE Transaction on Image Processing, vol.13, no.5, May 2004, pp.699-709.
[116] D. Li, B. Zhang, and Y. Leung, On Knowledge Reduction in Inconsistent Decision Information Systems, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol.12, no.5 (2004), pp.651-672.
[117] Yinghua He, Hong Wang, and Bo Zhang, Color-Based Road Detection in Urban Traffic Scenes, IEEE Trans. on Intelligent Transportation Systems, vol.5, no.4, Dec. 2004, pp.309-318.
[118] Xingliang Huang, Bo Zhang, "Perceptual watermarking using a wavelet visible difference predictor", 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 19-23, 2005, Philadelphia PA, USA.
[119] Xingliang Huang, Bo Zhang, "Perceptual watermarking using a wavelet visible difference predictor", 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 19-23, 2005, Philadelphia PA, USA.
[120] Xingliang Huang, Bo Zhang, Robust Detection of Transform Domain Additive Watermarks., Digital Watermarking: 4th International Workshop, IWDW 2005, Siena, Italy, September 15-17, 2005. pp. 124-138. (Best Paper Award).
[121] Jinhui Yuan, Jianmin Li, Fuzong Lin, Bo Zhang, A Unified Shot Boundary Detection Framework Based on Graph Partition Model, Proceeding of ACM Multimedia 2005.
[122] Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, Wei-Ying Ma, 2D Conditional Random Fields for Web Information Extraction, Proceeding of the 22nd International Conference on Machine Learning (ICML 2005). Bonn, Germany. August 7-11, 2005.
[123] Bo Zhang, Ling Zhang, Quotient space based hierarchical machine learning, 2005 International Conference on Neural Networks and Brain, Beijing, China, Oct. 13-15, 2005 (invited talk).
[124] Ling Zhang and Bo Zhang, A quotient space approximation model of multiresolution signal analysis, Journal of Computer Science and Technology, vol.20, no. 1, January 2005, pp.90-94.
[125] Feng Jing, Mingjing Li, Hong-Jiang Zhang, Bo Zhang, A Unified Framework for Image Retrieval Using Keyword and Visual Features, IEEE Transaction on Image Processing, Vol. 14, No. 7 (2005), pp. 979-989.
[126] L. Zhang and Bo Zhang, The structure analysis of fuzzy sets, International Journal of Approximate Reasoning, 40(2005) 92-108.
[127] L. Zhang and Bo Zhang, Fuzzy Reasoning Model under Quotient Space Structure, Information Sciences, vol.173, issue 4, pp.353-364, June 2005.
[128] Ling Zhang and Bo Zhang, A quotient space approximation model of multiresolution signal analysis, Journal of Computer Science and Technology, vol.20, no. 1, January 2005, pp.90-94.
[129] Xingliang Huang and Bo Zhang. Statistically robust detection of multiplicative spread spectrum watermarks, IEEE Trans. on Information Forensics and Security.
[130] Jun Wu, Bo Zhang, Xian-Sheng Hua, Jianwei Zhang. A Semi-Supervised Incremental Learning Framework for Sports Video View Classification. The 12th International Multimedia Modeling Conference (MMM¡¯06), pp59-65, Beijing, China, Jan 4-6, 2006.
[131] Xingliang Huang and Bo Zhang. Robust detection of additive watermarks in transform domains. IEE Proceedings - Information Security, vol. 153, no. 3, pp. 97-106, 2006.
[132] Dong Wang, Jianmin Li, Bo Zhang. Relay Boost Fusion for Learning Rare Concepts in Multimedia, Image and Video Retrieval, 5th International Conference, CIVR 2006, Tempe, AZ, USA, July 13-15, 2006: 271-280
[133] Dong Wang, Jianmin Li, Bo Zhang. Multiple-Instance Learning Via Random Walk, 17th European Conference on Machine Learning (ECML 2006), Berlin, Germany, September 18-22, 2006: 473 - 484.
[134] Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, Wei-Ying Ma: Simultaneous record detection and attribute labeling in web data extraction. In Proc. of KDD 2006: 494-503
[135] Dong Wang, Jianmin Li, Bo Zhang. Relay Boost Fusion for Learning Rare Concepts in Multimedia, Image and Video Retrieval, 5th International Conference, CIVR 2006, Tempe, AZ, USA, July 13-15, 2006: 271-280
[136] Dayong Ding, Bo Zhang. Probabilistic Model Supported Rank Aggregation for the Semantic Concept Detection in Video. in Intl. Conference of Image and Video Retrieval (CIVR), Amsterdam, 2007. pp. 587-594
[137] Dong Wang, Jianmin Li, and Bo Zhang. The Importance of Query-Concept-Mapping for Automatic Video Retrieval, ACM Multimedia 2007.
[138] Jianmin Li, Zhi-Kun Wang, Xirong Li, Tongchun Xiao, Dong Wang, Wujie Zheng, Bo Zhang. Video Retrieval with Multi-modal features. in Intl. Conference of Image and Video Retrieval (CIVR), Amsterdam, 2007.
[139] Jinhui Yuan, Huiyi Wang, Lan Xiao, Wujie Zheng, Jianmin Li, Fuzong Lin, Bo Zhang: A Formal Study of Shot Boundary Detection. IEEE Trans. Circuits Syst. Video Techn. 17(2): 168-186 (2007).
[140] Jinhui Yuan, Jianmin Li, Bo Zhang. Exploiting spatial context constraints for automatic image region annotation. Proc. of ACM Multimedia. Augsburg, Germany. ACM Press, September, 2007. pages 595-604.
[141] Jinhui Yuan, Jianmin Li, Bo Zhang. Gradual transitions detection with conditional random fields. Proc. of ACM Multimedia. Augsburg, Germany. ACM Press, September, 2007. pages 277-280.
[142] Jun Zhu, Zaiqing Nie, Bo Zhang, & Ji-Rong Wen. Dynamic Hierarchical Markov Random Fields and their Application to Web Data Extraction. In Proc. of International Conference on Machine Learning (ICML), 2007.
[143] Jun Zhu, Zaiqing Nie, Ji-Rong Wen, Bo Zhang, & Hsiao-Wuen Hon. Webpage Understanding: an Integrated Approach. In Proc. of ACM SIGKDD, 2007.
[144] Xiaobing Liu, Dong Wang, Jianmin Li, Bo Zhang, The Feature and Spatial Covariant Kernel: Adding Implicit Spatial Constraints to Histogram, in Proc. ACM International Conference on Image and Video Retrieval (CIVR), Amsterdam, Netherlands, July, 2007.
[145] Xirong Li, Dong Wang, Jianmin Li and Bo Zhang, Video Search in Concept Subspace: A Text-Like Paradigm, in Intl. Conference of Image and Video Retrieval (CIVR), Amsterdam, 2007.
[146] Jun Zhu, Zaiqing Nie, Bo Zhang, & Ji-Rong Wen. Dynamic Hierarchical Markov Random Fields and their Application to Web Data Extraction. In Proc. of International Conference on Machine Learning (ICML), 2007.
[147] Jinhui Yuan, Scene Understanding with Discriminative Structured Prediction, CVPR 2008.
[148] Zhikun Wang, Dong Wang, Jianmin Li and Bo Zhang, Learning Structured Concept-Segments for Interactive Video Retrieval, CVIR 2008.
[149] Jianmin Li, Zhikun Wang, Dong Wang, and Bo Zhang, Interactive Video Retrieval with Rich Features and Friendly Interface, CIVR 2008.
[150] Jun Zhu, Eric P. Xing, Bo Zhang, Laplace maximum margin Markov networks, ICML 2008.
[151] Jun Zhu, Eric P. Xing, and Bo Zhang. Partially Observed Maximum Entropy Discrimination Markov Networks. Advances in Neural Information Processing Systems (NIPS), 2008.
[152] Jun Zhu, Eric P. Xing, Bo Zhang. Laplace maximum margin Markov networks. ICML 2008.
[153] Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen, Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction, Journal of Machine Learning Research, vol. 9, 2008, 1583-1614.
[154] Jun Zhu, Eric P. Xing, and Bo Zhang. Primal Sparse Max-Margin Markov Networks. To Appear in SIGKDD International Conference on Knowledge Discovery and Data Mining, 2009.
[155] Jun Zhu, Zaiqing Nie, Xiaojiang Liu, Bo Zhang, and Ji-Rong Wen. StatSnow-ball: a Statistical Approach to Extracting Entity Relationships. International World Wide Web (WWW) Conference, 2009.
[156] Dong Wang, Zhikun Wang, Jianmin Li, Bo Zhang and Xirong Li. Query representation by structured concept threads with application to interactive video retrieval. Journal of Visual Communication and Image Representation. Volume 20, Issue 2, February 2009, Pages 104-116.
[157] Ling Zhang, Bo Zhang, The theory and application of tolerance relations, International Journal of Granular Computing, Rough Sets and Intelligent Systems, Volume 1, Number 2, 2009:179 -189.
[158] X. Hu, et al, ¡°Applications of the general projection neural network in solving extended linear-quadratic programming problems with linear constraints,¡± Neurocomputing, vol. 72, no. 4-6, pp. 1131-1137, 2009.