Jing Peng

Anna Feldman, Jing Peng: Automatic Detection of Idiomatic Clauses. CICLing (1) 2013: 435-446

Shaojie Qiao, Tian-rui Li, Hong Li, Jing Peng, Hongmei Chen: A new blockmodeling based hierarchical clustering algorithm for web social networks. Eng. Appl. of AI 25(3): 640-647 (2012)

Jing Peng, Falin Wu, Ming Zhu, Feixue Wang, Kefei Zhang: An Improved GPS/RFID Integration Method Based on Sequential Iterated Reduced Sigma Point Kalman Filter. IEICE Transactions 95-B(7): 2433-2441 (2012)

Bikramjit Banerjee, Jing Peng: Strategic best-response learning in multiagent systems. J. Exp. Theor. Artif. Intell. 24(2): 139-160 (2012)

Jing Peng, Yan Ma: Integer Wavelet Image Denoising Method Based on Principle Component Analysis. JSW 7(5): 982-989 (2012)

Yong Wang, Long-Ping He, Jing Peng, Ting-ting Zhang, Hong-Zong Li: Privacy Preserving for Continuous Query in Location Based Services. ICPADS 2012: 213-220

Jing Peng, Kannappan Palaniappan, Sema Candemir, Guna Seetharaman: KL based data fusion for target tracking. ICPR 2012: 3480-3483

Jing Peng, Guna Seetharaman: Margin based likelihood map fusion for target tracking. IGARSS 2012: 2292-2295

Jing Peng, Guna Seetharaman: Chernoff distance and Relief feature selection. IGARSS 2012: 3493-3496

Chao Tong, Jianwei Niu, Bin Dai, Jing Peng, Jinyang Fan: Complex networks clustering algorithm based on the core influence of the nodes. IPCCC 2012: 185-186

Jianwei Niu, Jing Peng, Chao Tong, Wanjiun Liao: Evolution of disconnected components in social networks: Patterns and a generative model. IPCCC 2012: 305-313

Yong Wang, Jing Peng, Long-Ping He, Ting-ting Zhang, Hong-Zong Li: LBSs privacy preserving for continuous query based on semi-honest third parties. IPCCC 2012: 384-391

Yong Wang, Ting-ting Zhang, Hong-Zong Li, Long-Ping He, Jing Peng: Efficient Privacy Preserving Matchmaking for Mobile Social Networking against Malicious Users. TrustCom 2012: 609-615

Jing Peng, Alain-Jérôme Fougères, Samuel Deniaud, Michel Ferney: Dynamic Shared Context Processing in an E-Collaborative Learning Environment. CoRR abs/1201.3883 (2012)

Jing Peng, Zehua Miao, Fang Peng: Study on a 3-dimensional game model with delayed bounded rationality. Applied Mathematics and Computation 218(5): 1568-1576 (2011)

Carlotta Domeniconi, Jing Peng, Bojun Yan: Composite kernels for semi-supervised clustering. Knowl. Inf. Syst. 28(1): 99-116 (2011)

Jing Peng, Daniel Dajun Zeng, Zan Huang: Latent subject-centered modeling of collaborative tagging: An application in social search. ACM Trans. Management Inf. Syst. 2(3): 15 (2011)

Xiaoming Liu, Jing Peng, Tao Liu: A novel indoor localization system based on passive RFID technology. EMEIT 2011: 4285-4288

Jing Peng, Zehua Miao, Luoping Zheng: Study on dynamical properties and simulation of a four-dimensional nonlinear discrete dynamics. IEEM 2011: 600-604

Jing Peng, Costin Barbu, Guna Seetharaman, Wei Fan, Xian Wu, Kannappan Palaniappan: ShareBoost: Boosting for Multi-view Learning with Performance Guarantees. ECML/PKDD (2) 2011: 597-612

Jing Peng, Guna Seetharaman, Stefan A. Robila, Aparna S. Varde, Wei Fan: Chernoff Dimensionality Reduction--Where Fisher Meets FKT. SDM 2011: 271-282

Jing Peng, Danping Yang: Remote sensing monitoring system for maritime search and rescue. SoCPaR 2011: 101-106

Shaojie Qiao, Changjie Tang, Huidong Jin, Jing Peng, Darren Davis, Nan Han: KISTCM: knowledge discovery system for traditional Chinese medicine. Appl. Intell. 32(3): 346-363 (2010)

Xiangang Luo, Jing Peng, Zhong Xie: A Mechanism of Initiative Transmission to Send Message on WEBGIS. J. Geographic Information System 2(1): 1-5 (2010)

Amal Chaminda Kaluarachchi, Aparna S. Varde, Jing Peng, Anna Feldman: Intelligent Time-Aware Query Translation for Text Sources. AAAI 2010

Jing Peng, Daniel Dajun Zeng, Huimin Zhao, Fei-Yue Wang: Collaborative filtering in social tagging systems based on joint item-tag recommendations. CIKM 2010: 809-818

Amal Chaminda Kaluarachchi, Aparna S. Varde, Srikanta J. Bedathur, Gerhard Weikum, Jing Peng, Anna Feldman: Incorporating terminology evolution for query translation in text retrieval with association rules. CIKM 2010: 1789-1792

Aliva M. Pradhan, Aparna S. Varde, Jing Peng, Eileen Fitzpatrick: Automatic Classification of Article Errors in L2 Written English. FLAIRS Conference 2010

Jing Peng, Jane Dong: Content-adaptive Quality Assessment for Image Signals. IPCV 2010: 263-269

Shaojie Qiao, Jing Peng, Hong Li, Tian-rui Li, Liangxu Liu, Hongjun Li: WebRank: A Hybrid Page Scoring Approach Based on Social Network Analysis. RSKT 2010: 475-482

Wei Fan, ErHeng Zhong, Jing Peng, Olivier Verscheure, Kun Zhang, Jiangtao Ren, Rong Yan, Qiang Yang: Generalized and Heuristic-Free Feature Construction for Improved Accuracy. SDM 2010: 629-640

Jing Peng, Stefan A. Robila, Wei Fan, Guna Seetharaman: Analysis of Chernoff criterion for linear dimensionality reduction. SMC 2010: 3014-3021

Hiroki Yamakawa, Jing Peng, Anna Feldman: Semantic enrichment of text representation with wikipedia for text classification. SMC 2010: 4333-4340

Lei Duan, Jie Zuo, Tianqing Zhang, Jing Peng, Jie Gong: Mining Contrast Inequalities in Numeric Dataset. WAIM 2010: 194-205

Jing Peng, Chang-jie Tang, Dongqing Yang, Jing Zhang, Jianjun Hu: Similarity computing model of high dimension data for symptom classification of Chinese traditional medicine. Appl. Soft Comput. 9(1): 209-218 (2009)

Jing Peng, Daniel Zeng: Topic-based web page recommendation using tags. ISI 2009: 269-271

ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiangtao Ren, Deepak S. Turaga, Olivier Verscheure: Cross domain distribution adaptation via kernel mapping. KDD 2009: 1027-1036

ErHeng Zhong, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren: Universal Learning over Related Distributions and Adaptive Graph Transduction. ECML/PKDD (2) 2009: 678-693

Sihong Xie, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren: Latent space domain transfer between high dimensional overlapping distributions. WWW 2009: 91-100

Jing Peng, Dongqing Yang, Shi-Wei Tang, Tengjiao Wang, Jun Gao: A new similarity computing method based on concept similarity in Chinese text processing. Science in China Series F: Information Sciences 51(9): 1215-1230 (2008)

Jing Peng, Peng Zhang, Norbert Riedel: Discriminant Learning Analysis. IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(6): 1614-1625 (2008)

Shaojie Qiao, Changjie Tang, Shucheng Dai, Mingfang Zhu, Jing Peng, Hongjun Li, Yungchang Ku: PartSpan: Parallel Sequence Mining of Trajectory Patterns. FSKD (5) 2008: 363-367

ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, Jing Peng, Kun Zhang: Graph-Based Iterative Hybrid Feature Selection. ICDM 2008: 1133-1138

Salman Siddiqui, Stefan A. Robila, Jing Peng, Dajin Wang: Sparse Representations for Hyperspectral Data Classification. IGARSS (2) 2008: 577-580

Shaojie Qiao, Changjie Tang, Jing Peng, Hongjun Li, Shengqiao Ni: Efficient k-Closest-Pair Range-Queries in Spatial Databases. WAIM 2008: 99-104

Bikramjit Banerjee, Jing Peng: Generalized multiagent learning with performance bound. Autonomous Agents and Multi-Agent Systems 15(3): 281-312 (2007)

Jing Peng, Kenji Araki: Zero-Anaphora Resolution in Chinese Using Maximum Entropy. IEICE Transactions 90-D(7): 1092-1102 (2007)

Jing Peng, Changjie Tang, Dongqing Yang, An-long Chen, Lei Duan: A Coding Hierarchy Computing Based Clustering Algorithm. ADMA 2007: 110-121

Jing Peng, Dongqing Yang, Changjie Tang, Jing Zhang, Jianjun Hu: CACS: A Novel Classification Algorithm Based on Concept Similarity. ADMA 2007: 500-507

Jing Peng, Dongqing Yang, Shi-Wei Tang, Jun Gao, Peng-yi Zhang, Yan Fu: A Concept Similarity Based Text Classification Algorithm. FSKD (1) 2007: 535-539

Jing Peng, Stefan A. Robila: Weighted Additive Criterion for Linear Dimension Reduction. ICDM 2007: 619-624

Jing Peng, Kenji Araki: Zero Anaphora Resolution in Chinese and Its Application in Chinese-English Machine Translation. NLDB 2007: 364-375

Bikramjit Banerjee, Jing Peng: RV_sigma(t): a unifying approach to performance and convergence in online multiagent learning. AAMAS 2006: 798-800

Peng Zhang, Jing Peng, Bill P. Buckles: Learning Optimal Filter Representation for Texture Classification. ICPR (2) 2006: 1138-1141

Bo-Yu Li, Jing Peng, Yan-Qiu Chen, Ya-Qiu Jin: Classifying Unbalanced Pattern Groups by Training Neural Network. ISNN (2) 2006: 8-13

Shaojie Qiao, Changjie Tang, Jing Peng, Hongjian Fan, Yong Xiang: VCCM Mining: Mining Virtual Community Core Members Based on Gene Expression Programming. WISI 2006: 133-138

Douglas R. Heisterkamp, Jing Peng: Kernel Vector Approximation Files for Relevance Feedback Retrieval in Large Image Databases. Multimedia Tools Appl. 26(2): 175-189 (2005)

Jing Peng, Dong Zhang, Yuncai Liu: An improved snake model for building detection from urban aerial images. Pattern Recognition Letters 26(5): 587-595 (2005)

Carlotta Domeniconi, Dimitrios Gunopulos, Jing Peng: Large margin nearest neighbor classifiers. IEEE Transactions on Neural Networks 16(4): 899-909 (2005)

Peng Zhang, Jing Peng, Carlotta Domeniconi: Kernel pooled local subspaces for classification. IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(3): 489-502 (2005)

Bikramjit Banerjee, Jing Peng: Efficient No-Regret Multiagent Learning. AAAI 2005: 41-46

Peng Zhang, Jing Peng, Norbert Riedel: Finite Sample Error Bound for Parzen Windows. AAAI 2005: 925-931

An-long Chen, Changjie Tang, Chang-an Yuan, Jing Peng, Jianjun Hu: Mining Correlations Between Multi-streams Based on Haar Wavelet. ASIAN 2005: 270-271

Bikramjit Banerjee, Jing Peng: Efficient learning of multi-step best response. AAMAS 2005: 60-66

Xiaohui Yuan, Jing Peng, Yasumasa Nishiura: Particle Swarm Optimization with Multiscale Searching Method. CIS (1) 2005: 669-674

Chuan Li, Changjie Tang, Jing Peng, Jianjun Hu, Yongguang Jiang, Yong Xiaojia: NNF: An Effective Approach in Medicine Paring Analysis of Traditional Chinese Medicine Prescriptions. DASFAA 2005: 576-581

Costin Barbu, Raja Tanveer Iqbal, Jing Peng: Classifier Fusion Using Shared Sampling Distribution for Boosting. ICDM 2005: 34-41

Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles: Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees. ICDM 2005: 817-820

Jing Peng, Changjie Tang, Jing Zhang, Chang-an Yuan: Evolutionary Algorithm Based on Overlapped Gene Expression. ICNC (3) 2005: 194-204

Costin Barbu, Kun Zhang, Jing Peng, Bill P. Buckles: Boosting in classifier fusion vs. fusing boosted classifiers. IRI 2005: 332-337

Jie Li, Jing Peng, Heng Chu, Weile Zhu: Automatic Digital Modulation Recognition Using Support Vector Machines and Genetic Algorithm. ISNN (2) 2005: 568-573

Bikramjit Banerjee, Jing Peng: Unifying Convergence and No-Regret in Multiagent Learning. LAMAS 2005: 100-114

Jianjun Hu, Changjie Tang, Jing Peng, Chuan Li, Chang-an Yuan, An-long Chen: A Clustering Algorithm Based Absorbing Nearest Neighbors. WAIM 2005: 700-705

Bikramjit Banerjee, Sandip Sen, Jing Peng: On-policy concurrent reinforcement learning. J. Exp. Theor. Artif. Intell. 16(4): 245-260 (2004)

Iker Gondra, Douglas R. Heisterkamp, Jing Peng: Improving image retrieval performance by inter-query learning with one-class support vector machines. Neural Computing and Applications 13(2): 130-139 (2004)

Jing Peng, Douglas R. Heisterkamp, H. K. Dai: Adaptive Quasiconformal Kernel Nearest Neighbor Classification. IEEE Trans. Pattern Anal. Mach. Intell. 26(5): 656-661 (2004)

Bikramjit Banerjee, Jing Peng: Performance Bounded Reinforcement Learning in Strategic Interactions. AAAI 2004: 2-7

Bikramjit Banerjee, Jing Peng: The Role of Reactivity in Multiagent Learning. AAMAS 2004: 538-545

Chuan Li, Changjie Tang, Jing Peng, Jianjun Hu, Lingming Zeng, Xiaoxiong Yin, Yongguang Jiang, Juan Liu: TCMiner: A High Performance Data Mining System for Multi-dimensional Data Analysis of Traditional Chinese Medicine Prescriptions. ER (Workshops) 2004: 246-257

Jing Peng, Dake Wang: Research and Development of Digital Library Platform. ICADL 2004: 651

Peng Zhang, Jing Peng: SVM vs Regularized Least Squares Classification. ICPR (1) 2004: 176-179

Jing Peng: Multi-class relevance feedback content-based image retrieval. Computer Vision and Image Understanding 90(1): 42-67 (2003)

Jing Peng, Douglas R. Heisterkamp, H. K. Dai: LDA/SVM driven nearest neighbor classification. IEEE Transactions on Neural Networks 14(4): 940-942 (2003)

Bikramjit Banerjee, Jing Peng: Adaptive policy gradient in multiagent learning. AAMAS 2003: 686-692

Xiaojing Yuan, Xiaohui Yuan, Fan Yang, Jing Peng, Bill P. Buckles: Gene Expression Classification: Decision Trees vs. SVMs. FLAIRS Conference 2003: 92-97

Peng Zhang, Jing Peng, Carlotta Domeniconi: Dimensionality Reduction Using Kernel Pooled Local Discriminant Information. ICDM 2003: 701-704

Jing Peng, Douglas R. Heisterkamp: Kernel indexing for relevance feedback image retrieval. ICIP (1) 2003: 733-736

Douglas R. Heisterkamp, Jing Peng: Kernel VA-files for relevance feedback retrieva. MMDB 2003: 48-54

Carlotta Domeniconi, Jing Peng, Dimitrios Gunopulos: Locally Adaptive Metric Nearest-Neighbor Classification. IEEE Trans. Pattern Anal. Mach. Intell. 24(9): 1281-1285 (2002)

Ibrahim Gokcen, Jing Peng: Comparing Linear Discriminant Analysis and Support Vector Machines. ADVIS 2002: 104-113

Bikramjit Banerjee, Jing Peng: Convergent Gradient Ascent in General-Sum Games. ECML 2002: 1-9

Jing Peng, Bikramjit Banerjee, Douglas R. Heisterkamp: Kernel Index for Relevance feedback Retrieval. FSKD 2002: 187-191

Ibrahim Gokcen, Jing Peng, Bill P. Buckles: Active Learning Using One-class Classification. HIS 2002: 280-289

Jing Peng, Douglas R. Heisterkamp, H. K. Dai: Adaptive Kernel Metric Nearest Neighbor Classification. ICPR (3) 2002: 33-36

Anna Hac, Jing Peng: A two-phase combined QoS-based handoff scheme in a wireless ATM network. Int. Journal of Network Management 11(5): 309-330 (2001)

ByoungChul Ko, Jing Peng, Hyeran Byun: Region-based Image Retrieval Using Probabilistic Feature Relevance Learning. Pattern Anal. Appl. 4(2-3): 174-184 (2001)

Jing Peng, Bir Bhanu: Local discriminative learning for pattern recognition. Pattern Recognition 34(1): 139-150 (2001)

Jing Peng, Bir Bhanu: Independent feature analysis for image retrieval. Pattern Recognition Letters 22(1): 63-74 (2001)

Jing Peng, Douglas R. Heisterkamp, H. K. Dai: LDA/SVM Driven Nearest Neighbor Classification. CVPR (1) 2001: 58-

Douglas R. Heisterkamp, Jing Peng, H. K. Dai: Adaptive Quasiconformal Kernel Metric for Image Retrieval. CVPR (2) 2001: 388-393

Jing Peng: A multi-class relevance feedback approach to image retrieval. ICIP (1) 2001: 46-49

ByoungChul Ko, Jing Peng, Hyeran Byun: A New Content-Based Image Retrieval System Using Hang Gesture And Relevange Feedback. ICME 2001

Bikramjit Banerjee, Sandip Sen, Jing Peng: Fast Concurrent Reinforcement Learners. IJCAI 2001: 825-832

Bir Bhanu, Yingqiang Lin, Grinnell Jones, Jing Peng: Adaptive target recognition. Mach. Vis. Appl. 11(6): 289-299 (2000)

Bir Bhanu, Jing Peng: Adaptive integrated image segmentation and object recognition. IEEE Transactions on Systems, Man, and Cybernetics, Part C 30(4): 427-441 (2000)

Carlotta Domeniconi, Dimitrios Gunopulos, Jing Peng: Adaptive Metric nearest Neighbor Classification. CVPR 2000: 1517-1522

Douglas R. Heisterkamp, Jing Peng, H. K. Dai: Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval. ICPR 2000: 4250-4253

Carlotta Domeniconi, Jing Peng, Dimitrios Gunopulos: An Adaptive Metric Machine for Pattern Classification. NIPS 2000: 458-464

Jing Peng: Adaptive Multi-class Metric Content-Based Image Retrieval. VISUAL 2000: 407-418

Jing Peng, Bir Bhanu: Learning to Perceive Objects for Autonomous Navigation. Auton. Robots 6(2): 187-201 (1999)

Jing Peng, Bir Bhanu, Shan Qing: Probabilistic Feature Relevance Learning for Content-Based Image Retrieval. Computer Vision and Image Understanding 75(1-2): 150-164 (1999)

Jing Peng, Bir Bhanu: Feature Relevance Estimation for Image Databases. Multimedia Information Systems 1999: 12-19

Jing Peng, Bir Bhanu: Independent Feature Analysis for Image Retrieval. MLDM 1999: 103-115

Jing Peng, Bir Bhanu: Closed-Loop Object Recognition Using Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 20(2): 139-154 (1998)

Jing Peng, Bir Bhanu: Delayed reinforcement learning for adaptive image segmentation and feature extraction. IEEE Transactions on Systems, Man, and Cybernetics, Part C 28(3): 482-488 (1998)

Bir Bhanu, Shan Qing, Jing Peng: Learning Integrated Online Indexing for Image Databases. ICIP (2) 1998: 789-793

Jing Peng, Bir Bhanu: Pattern Classification Based on Local Learning. SSPR/SPR 1998: 882-889

Jing Peng, Ronald J. Williams: Incremental Multi-Step Q-Learning. Machine Learning 22(1-3): 283-290 (1996)

Jing Peng, Bir Bhanu: Closed-Loop Object Recognition Using Reinforcement Learning. CVPR 1996: 538-543

Jing Peng: Efficient Memory-Based Dynamic Programming. ICML 1995: 438-446

Jing Peng, Ronald J. Williams: Incremental Multi-Step Q-Learning. ICML 1994: 226-232

Tangqui Li, Hon Wai Chun, Jing Peng, Xiru Zhang: Segmentation in Chinese natural language understanding using a massively parallel approach (abstract). ACM Conference on Computer Science 1986: 442