| 2009 |
|---|
| 80 | EE | Sihong Xie,
Wei Fan,
Jing Peng,
Olivier Verscheure,
Jiangtao Ren:
Latent space domain transfer between high dimensional overlapping distributions.
WWW 2009: 91-100 |
| 79 | EE | 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) |
| 2008 |
|---|
| 78 | EE | 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 |
| 77 | EE | ErHeng Zhong,
Sihong Xie,
Wei Fan,
Jiangtao Ren,
Jing Peng,
Kun Zhang:
Graph-Based Iterative Hybrid Feature Selection.
ICDM 2008: 1133-1138 |
| 76 | EE | Shaojie Qiao,
Changjie Tang,
Jing Peng,
Hongjun Li,
Shengqiao Ni:
Efficient k-Closest-Pair Range-Queries in Spatial Databases.
WAIM 2008: 99-104 |
| 75 | EE | Jing Peng,
Peng Zhang,
Norbert Riedel:
Discriminant Learning Analysis.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(6): 1614-1625 (2008) |
| 74 | EE | 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) |
| 2007 |
|---|
| 73 | EE | Jing Peng,
Changjie Tang,
Dongqing Yang,
An-long Chen,
Lei Duan:
A Coding Hierarchy Computing Based Clustering Algorithm.
ADMA 2007: 110-121 |
| 72 | EE | Jing Peng,
Dongqing Yang,
Changjie Tang,
Jing Zhang,
Jianjun Hu:
CACS: A Novel Classification Algorithm Based on Concept Similarity.
ADMA 2007: 500-507 |
| 71 | EE | 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 |
| 70 | EE | Jing Peng,
Stefan A. Robila:
Weighted Additive Criterion for Linear Dimension Reduction.
ICDM 2007: 619-624 |
| 69 | EE | Jing Peng,
Kenji Araki:
Zero Anaphora Resolution in Chinese and Its Application in Chinese-English Machine Translation.
NLDB 2007: 364-375 |
| 68 | EE | Bikramjit Banerjee,
Jing Peng:
Generalized multiagent learning with performance bound.
Autonomous Agents and Multi-Agent Systems 15(3): 281-312 (2007) |
| 67 | EE | Jing Peng,
Kenji Araki:
Zero-Anaphora Resolution in Chinese Using Maximum Entropy.
IEICE Transactions 90-D(7): 1092-1102 (2007) |
| 2006 |
|---|
| 66 | EE | Peng Zhang,
Jing Peng,
Bill P. Buckles:
Learning Optimal Filter Representation for Texture Classification.
ICPR (2) 2006: 1138-1141 |
| 65 | EE | Bo-Yu Li,
Jing Peng,
Yan-Qiu Chen,
Ya-Qiu Jin:
Classifying Unbalanced Pattern Groups by Training Neural Network.
ISNN (2) 2006: 8-13 |
| 64 | EE | 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 |
| 2005 |
|---|
| 63 | | Bikramjit Banerjee,
Jing Peng:
Efficient No-Regret Multiagent Learning.
AAAI 2005: 41-46 |
| 62 | | Peng Zhang,
Jing Peng,
Norbert Riedel:
Finite Sample Error Bound for Parzen Windows.
AAAI 2005: 925-931 |
| 61 | EE | Bikramjit Banerjee,
Jing Peng:
Efficient learning of multi-step best response.
AAMAS 2005: 60-66 |
| 60 | EE | 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 |
| 59 | EE | Xiaohui Yuan,
Jing Peng,
Yasumasa Nishiura:
Particle Swarm Optimization with Multiscale Searching Method.
CIS (1) 2005: 669-674 |
| 58 | EE | 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 |
| 57 | EE | Costin Barbu,
Raja Tanveer Iqbal,
Jing Peng:
Classifier Fusion Using Shared Sampling Distribution for Boosting.
ICDM 2005: 34-41 |
| 56 | EE | 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 |
| 55 | EE | Jing Peng,
Changjie Tang,
Jing Zhang,
Chang-an Yuan:
Evolutionary Algorithm Based on Overlapped Gene Expression.
ICNC (3) 2005: 194-204 |
| 54 | EE | Costin Barbu,
Kun Zhang,
Jing Peng,
Bill P. Buckles:
Boosting in classifier fusion vs. fusing boosted classifiers.
IRI 2005: 332-337 |
| 53 | EE | Jie Li,
Jing Peng,
Heng Chu,
Weile Zhu:
Automatic Digital Modulation Recognition Using Support Vector Machines and Genetic Algorithm.
ISNN (2) 2005: 568-573 |
| 52 | EE | Bikramjit Banerjee,
Jing Peng:
Unifying Convergence and No-Regret in Multiagent Learning.
LAMAS 2005: 100-114 |
| 51 | EE | 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 |
| 50 | EE | 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) |
| 49 | EE | 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) |
| 48 | EE | 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) |
| 2004 |
|---|
| 47 | | Bikramjit Banerjee,
Jing Peng:
Performance Bounded Reinforcement Learning in Strategic Interactions.
AAAI 2004: 2-7 |
| 46 | EE | Bikramjit Banerjee,
Jing Peng:
The Role of Reactivity in Multiagent Learning.
AAMAS 2004: 538-545 |
| 45 | EE | 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 |
| 44 | EE | Jing Peng,
Dake Wang:
Research and Development of Digital Library Platform.
ICADL 2004: 651 |
| 43 | EE | Peng Zhang,
Jing Peng:
SVM vs Regularized Least Squares Classification.
ICPR (1) 2004: 176-179 |
| 42 | EE | 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) |
| 41 | EE | Bikramjit Banerjee,
Sandip Sen,
Jing Peng:
On-policy concurrent reinforcement learning.
J. Exp. Theor. Artif. Intell. 16(4): 245-260 (2004) |
| 40 | EE | 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) |
| 2003 |
|---|
| 39 | EE | Bikramjit Banerjee,
Jing Peng:
Adaptive policy gradient in multiagent learning.
AAMAS 2003: 686-692 |
| 38 | | Xiaojing Yuan,
Xiaohui Yuan,
Fan Yang,
Jing Peng,
Bill P. Buckles:
Gene Expression Classification: Decision Trees vs. SVMs.
FLAIRS Conference 2003: 92-97 |
| 37 | EE | Peng Zhang,
Jing Peng,
Carlotta Domeniconi:
Dimensionality Reduction Using Kernel Pooled Local Discriminant Information.
ICDM 2003: 701-704 |
| 36 | | Jing Peng,
Douglas R. Heisterkamp:
Kernel indexing for relevance feedback image retrieval.
ICIP (1) 2003: 733-736 |
| 35 | EE | Douglas R. Heisterkamp,
Jing Peng:
Kernel VA-files for relevance feedback retrieva.
MMDB 2003: 48-54 |
| 34 | EE | Jing Peng:
Multi-class relevance feedback content-based image retrieval.
Computer Vision and Image Understanding 90(1): 42-67 (2003) |
| 2002 |
|---|
| 33 | EE | Ibrahim Gokcen,
Jing Peng:
Comparing Linear Discriminant Analysis and Support Vector Machines.
ADVIS 2002: 104-113 |
| 32 | EE | Bikramjit Banerjee,
Jing Peng:
Convergent Gradient Ascent in General-Sum Games.
ECML 2002: 1-9 |
| 31 | | Jing Peng,
Bikramjit Banerjee,
Douglas R. Heisterkamp:
Kernel Index for Relevance feedback Retrieval.
FSKD 2002: 187-191 |
| 30 | | Ibrahim Gokcen,
Jing Peng,
Bill P. Buckles:
Active Learning Using One-class Classification.
HIS 2002: 280-289 |
| 29 | EE | Jing Peng,
Douglas R. Heisterkamp,
H. K. Dai:
Adaptive Kernel Metric Nearest Neighbor Classification.
ICPR (3) 2002: 33-36 |
| 28 | EE | Carlotta Domeniconi,
Jing Peng,
Dimitrios Gunopulos:
Locally Adaptive Metric Nearest-Neighbor Classification.
IEEE Trans. Pattern Anal. Mach. Intell. 24(9): 1281-1285 (2002) |
| 2001 |
|---|
| 27 | EE | Jing Peng,
Douglas R. Heisterkamp,
H. K. Dai:
LDA/SVM Driven Nearest Neighbor Classification.
CVPR (1) 2001: 58- |
| 26 | EE | Douglas R. Heisterkamp,
Jing Peng,
H. K. Dai:
Adaptive Quasiconformal Kernel Metric for Image Retrieval.
CVPR (2) 2001: 388-393 |
| 25 | EE | Jing Peng:
A multi-class relevance feedback approach to image retrieval.
ICIP (1) 2001: 46-49 |
| 24 | EE | ByoungChul Ko,
Jing Peng,
Hyeran Byun:
A New Content-Based Image Retrieval System Using Hang Gesture And Relevange Feedback.
ICME 2001 |
| 23 | | Bikramjit Banerjee,
Sandip Sen,
Jing Peng:
Fast Concurrent Reinforcement Learners.
IJCAI 2001: 825-832 |
| 22 | EE | 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) |
| 21 | EE | ByoungChul Ko,
Jing Peng,
Hyeran Byun:
Region-based Image Retrieval Using Probabilistic Feature Relevance Learning.
Pattern Anal. Appl. 4(2-3): 174-184 (2001) |
| 20 | EE | Jing Peng,
Bir Bhanu:
Local discriminative learning for pattern recognition.
Pattern Recognition 34(1): 139-150 (2001) |
| 19 | | Jing Peng,
Bir Bhanu:
Independent feature analysis for image retrieval.
Pattern Recognition Letters 22(1): 63-74 (2001) |
| 2000 |
|---|
| 18 | EE | Carlotta Domeniconi,
Dimitrios Gunopulos,
Jing Peng:
Adaptive Metric nearest Neighbor Classification.
CVPR 2000: 1517-1522 |
| 17 | EE | Douglas R. Heisterkamp,
Jing Peng,
H. K. Dai:
Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval.
ICPR 2000: 4250-4253 |
| 16 | | Carlotta Domeniconi,
Jing Peng,
Dimitrios Gunopulos:
An Adaptive Metric Machine for Pattern Classification.
NIPS 2000: 458-464 |
| 15 | EE | Jing Peng:
Adaptive Multi-class Metric Content-Based Image Retrieval.
VISUAL 2000: 407-418 |
| 14 | | 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) |
| 13 | EE | Bir Bhanu,
Yingqiang Lin,
Grinnell Jones,
Jing Peng:
Adaptive target recognition.
Mach. Vis. Appl. 11(6): 289-299 (2000) |
| 1999 |
|---|
| 12 | EE | Jing Peng,
Bir Bhanu:
Independent Feature Analysis for Image Retrieval.
MLDM 1999: 103-115 |
| 11 | | Jing Peng,
Bir Bhanu:
Feature Relevance Estimation for Image Databases.
Multimedia Information Systems 1999: 12-19 |
| 10 | | Jing Peng,
Bir Bhanu:
Learning to Perceive Objects for Autonomous Navigation.
Auton. Robots 6(2): 187-201 (1999) |
| 9 | EE | 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) |
| 1998 |
|---|
| 8 | | Bir Bhanu,
Shan Qing,
Jing Peng:
Learning Integrated Online Indexing for Image Databases.
ICIP (2) 1998: 789-793 |
| 7 | | Jing Peng,
Bir Bhanu:
Pattern Classification Based on Local Learning.
SSPR/SPR 1998: 882-889 |
| 6 | EE | Jing Peng,
Bir Bhanu:
Closed-Loop Object Recognition Using Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell. 20(2): 139-154 (1998) |
| 1996 |
|---|
| 5 | EE | Jing Peng,
Bir Bhanu:
Closed-Loop Object Recognition Using Reinforcement Learning.
CVPR 1996: 538-543 |
| 4 | | Jing Peng,
Ronald J. Williams:
Incremental Multi-Step Q-Learning.
Machine Learning 22(1-3): 283-290 (1996) |
| 1995 |
|---|
| 3 | | Jing Peng:
Efficient Memory-Based Dynamic Programming.
ICML 1995: 438-446 |
| 1994 |
|---|
| 2 | | Jing Peng,
Ronald J. Williams:
Incremental Multi-Step Q-Learning.
ICML 1994: 226-232 |
| 1986 |
|---|
| 1 | EE | 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 |
