
| 2007 | ||
|---|---|---|
| 95 | EE | Maria-Florina Balcan, Andrei Z. Broder, Tong Zhang: Margin Based Active Learning. COLT 2007: 35-50 |
| 94 | EE | Rie Kubota Ando, Tong Zhang: Two-view feature generation model for semi-supervised learning. ICML 2007: 25-32 |
| 93 | EE | Yang Liu, Tong Zhang, Jiang Hu: Soft Clock Skew Scheduling for Variation-Tolerant Signal Processing Circuits: A Case Study of Viterbi Decoders. ISQED 2007: 749-754 |
| 92 | EE | Andrei Z. Broder, Marcus Fontoura, Evgeniy Gabrilovich, Amruta Joshi, Vanja Josifovski, Tong Zhang: Robust classification of rare queries using web knowledge. SIGIR 2007: 231-238 |
| 91 | EE | Sizhong Chen, Tong Zhang, Yan Xin: Relaxed K-Best MIMO Signal Detector Design and VLSI Implementation. IEEE Trans. VLSI Syst. 15(3): 328-337 (2007) |
| 90 | EE | Christoph Tillmann, Tong Zhang: A block bigram prediction model for statistical machine translation. TSLP 4(3): (2007) |
| 2006 | ||
| 89 | EE | Christoph Tillmann, Tong Zhang: A Discriminative Global Training Algorithm for Statistical MT. ACL 2006 |
| 88 | EE | Parag Mulendra Joshi, C. Brian Atkins, Tong Zhang: From video to photo albums: digital publishing workflow for automatic album creation. ACM Symposium on Document Engineering 2006: 179-181 |
| 87 | EE | Chuanfu Zhang, Yunsheng Liu, Tong Zhang, Yabing Zha, Wei Zhang: Comments on Order-Based Deadlock Prevention Protocol with Parallel Requests in "A Deadlock and Livelock Free Protocol for Decentralized Internet Resource Co-allocation". APWeb Workshops 2006: 698-701 |
| 86 | EE | David Cossock, Tong Zhang: Subset Ranking Using Regression. COLT 2006: 605-619 |
| 85 | EE | Tong Zhang, Jue Wang, Liang Xu, Ping Liu: Using Wearable Sensor and NMF Algorithm to Realize Ambulatory Fall Detection. ICNC (2) 2006: 488-491 |
| 84 | EE | Hao Zhong, Tong Zhang, Erich F. Haratsch: High-rate quasi-cyclic LDPC codes for magnetic recording channel with low error floor. ISCAS 2006 |
| 83 | EE | Fei Sun, Tong Zhang: Low power state-parallel relaxed adaptive Viterbi decoder design and implementation. ISCAS 2006 |
| 82 | EE | Fei Sun, Siddharth Devarajan, Kenneth Rose, Tong Zhang: Multilevel flash memory on-chip error correction based on trellis coded modulation. ISCAS 2006 |
| 81 | EE | Sizhong Chen, Tong Zhang, M. Goel: Relaxed tree search MIMO signal detection algorithm design and VLSI implementation. ISCAS 2006 |
| 80 | EE | Kuan Zhou, Yifei Luo, Sizhong Chen, A. Drake, John F. McDonald, Tong Zhang: Triple-rail MOS current mode logic for high-speed self-timed pipeline applications. ISCAS 2006 |
| 79 | EE | Tong Zhang, Alexandrin Popescul, Byron Dom: Linear prediction models with graph regularization for web-page categorization. KDD 2006: 821-826 |
| 78 | EE | Rie Kubota Ando, Tong Zhang: Learning on Graph with Laplacian Regularization. NIPS 2006: 25-32 |
| 77 | EE | Qingfeng Guan, Tong Zhang, Keith C. Clarke: GeoComputation in the Grid Computing Age. W2GIS 2006: 237-246 |
| 76 | EE | Tong Zhang: Information-theoretic upper and lower bounds for statistical estimation. IEEE Transactions on Information Theory 52(4): 1307-1321 (2006) |
| 75 | EE | Tong Zhang, Mark Hasegawa-Johnson, Stephen E. Levinson: Extraction of pragmatic and semantic salience from spontaneous spoken English. Speech Communication 48(3-4): 437-462 (2006) |
| 74 | EE | Tong Zhang, Mark Hasegawa-Johnson, Stephen E. Levinson: Cognitive state classification in a spoken tutorial dialogue system. Speech Communication 48(6): 616-632 (2006) |
| 2005 | ||
| 73 | EE | Rie Ando, Tong Zhang: A High-Performance Semi-Supervised Learning Method for Text Chunking. ACL 2005 |
| 72 | EE | Christoph Tillmann, Tong Zhang: A Localized Prediction Model for Statistical Machine Translation. ACL 2005 |
| 71 | EE | Tong Zhang: Data Dependent Concentration Bounds for Sequential Prediction Algorithms. COLT 2005: 173-187 |
| 70 | EE | Tong Zhang: Localized Upper and Lower Bounds for Some Estimation Problems. COLT 2005: 516-530 |
| 69 | EE | Zhihong Zeng, Jilin Tu, Brian Pianfetti, Ming Liu, Tong Zhang, ZhenQiu Zhang, Thomas S. Huang, Stephen E. Levinson: Audio-Visual Affect Recognition through Multi-Stream Fused HMM for HCI. CVPR (2) 2005: 967-972 |
| 68 | EE | Tong Zhang, Yan Xin, Sizhong Chen: Parallelism/regularity-driven MIMO detection algorithm design. ISCAS (5) 2005: 4959-4962 |
| 67 | EE | Lijuan Zhu, Gilbert Chen, Boleslaw K. Szymanski, Carl Tropper, Tong Zhang: Parallel Logic Simulation of Million-Gate VLSI Circuits. MASCOTS 2005: 521-524 |
| 66 | EE | Tong Zhang, Rie Ando: Analysis of Spectral Kernel Design based Semi-supervised Learning. NIPS 2005 |
| 65 | EE | Chuanfu Zhang, Yunsheng Liu, Tong Zhang, Yabing Zha, Kedi Huang: A Deadlock Prevention Approach based on Atomic Transaction for Resource Co-allocation. SKG 2005: 37 |
| 64 | EE | Fei Sun, Tong Zhang: Parallel high-throughput limited search trellis decoder VLSI design. IEEE Trans. VLSI Syst. 13(9): 1013-1022 (2005) |
| 63 | EE | Rie Kubota Ando, Tong Zhang: A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data. Journal of Machine Learning Research 6: 1817-1853 (2005) |
| 62 | EE | Tong Zhang: Learning Bounds for Kernel Regression Using Effective Data Dimensionality. Neural Computation 17(9): 2077-2098 (2005) |
| 61 | EE | Mark Hasegawa-Johnson, Ken Chen, Jennifer Cole, Sarah Borys, Sung-Suk Kim, Aaron Cohen, Tong Zhang, Jeung-Yoon Choi, Heejin Kim, Taejin Yoon: Simultaneous recognition of words and prosody in the Boston University Radio Speech Corpus. Speech Communication 46(3-4): 418-439 (2005) |
| 2004 | ||
| 60 | EE | Tong Zhang: On the Convergence of MDL Density Estimation. COLT 2004: 315-330 |
| 59 | EE | Zhihong Zeng, Jilin Tu, Ming Liu, Tong Zhang, Nicholas Rizzolo, ZhenQiu Zhang, Thomas S. Huang, Dan Roth, Stephen E. Levinson: Bimodal HCI-related affect recognition. ICMI 2004: 137-143 |
| 58 | EE | Tong Zhang: Solving large scale linear prediction problems using stochastic gradient descent algorithms. ICML 2004 |
| 57 | EE | Tong Zhang, George Nagy: Surface Tortuosity and its Application to Analyzing Cracks in Concrete. ICPR (2) 2004: 851-854 |
| 56 | EE | Honglei Guo, Jianmin Jiang, Gang Hu, Tong Zhang: Chinese Named Entity Recognition Based on Multilevel Linguistic Features. IJCNLP 2004: 90-99 |
| 55 | Hao Zhong, Tong Zhang: Joint code-encoder-decoder design for LDPC coding system VLSI implementation. ISCAS (2) 2004: 389-392 | |
| 54 | Tong Zhang: A high throughput limited search trellis decoder for convolutional code decoding. ISCAS (4) 2004: 177-180 | |
| 53 | EE | Jinbo Bi, Tong Zhang, Kristin P. Bennett: Column-generation boosting methods for mixture of kernels. KDD 2004: 521-526 |
| 52 | EE | Tong Zhang: Class-size Independent Generalization Analsysis of Some Discriminative Multi-Category Classification. NIPS 2004 |
| 51 | EE | Jinbo Bi, Tong Zhang: Support Vector Classification with Input Data Uncertainty. NIPS 2004 |
| 50 | EE | Li Zhang, Yue Pan, Tong Zhang: Focused named entity recognition using machine learning. SIGIR 2004: 281-288 |
| 49 | EE | Bo Yang, Tong Zhang, Changxing Pei: The effect of side-information on smooth entropy. Discrete Applied Mathematics 136(1): 151-157 (2004) |
| 48 | EE | Fred Damerau, Tong Zhang, Sholom M. Weiss, Nitin Indurkhya: Text categorization for a comprehensive time-dependent benchmark. Inf. Process. Manage. 40(2): 209-221 (2004) |
| 47 | EE | Ying Li, John R. Smith, Tong Zhang, Shih-Fu Chang: Multimedia database management systems. J. Visual Communication and Image Representation 15(3): 261-264 (2004) |
| 46 | EE | Tong Zhang: Statistical Analysis of Some Multi-Category Large Margin Classification Methods. Journal of Machine Learning Research 5: 1225-1251 (2004) |
| 2003 | ||
| 45 | EE | Chuanfu Zhang, Yunsheng Liu, Tong Zhang, Yabing Zha: Integration of the Distributed Simulation into the OGSA Model. GCC (1) 2003: 200-204 |
| 44 | EE | Tong Zhang, Chuanfu Zhang, Yunsheng Liu, Yabing Zha: A Design of Distributed Simulation Based on GT3 Core. GCC (2) 2003: 590-596 |
| 43 | Tong Zhang, Bin Yu: On the Convergence of Boosting Procedures. ICML 2003: 904-911 | |
| 42 | EE | Tong Zhang: An Infinity-sample Theory for Multi-category Large Margin Classification. NIPS 2003 |
| 41 | EE | Tong Zhang: Learning Bounds for a Generalized Family of Bayesian Posterior Distributions. NIPS 2003 |
| 40 | Tong Zhang: Sequential greedy approximation for certain convex optimization problems. IEEE Transactions on Information Theory 49(3): 682-691 (2003) | |
| 39 | EE | Shie Mannor, Ron Meir, Tong Zhang: Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity. Journal of Machine Learning Research 4: 713-741 (2003) |
| 38 | EE | Ron Meir, Tong Zhang: Generalization Error Bounds for Bayesian Mixture Algorithms. Journal of Machine Learning Research 4: 839-860 (2003) |
| 37 | EE | Tong Zhang: Leave-One-Out Bounds for Kernel Methods. Neural Computation 15(6): 1397-1437 (2003) |
| 2002 | ||
| 36 | EE | Tong Zhang, Keshab K. Parhi: On the high-speed VLSI implementation of errors-and-erasures correcting reed-solomon decoders. ACM Great Lakes Symposium on VLSI 2002: 89-93 |
| 35 | EE | Shie Mannor, Ron Meir, Tong Zhang: The Consistency of Greedy Algorithms for Classification. COLT 2002: 319-333 |
| 34 | Tong Zhang: Statistical Behavior and Consistency of Support Vector Machines, Boosting, and Beyond. ICML 2002: 690-700 | |
| 33 | EE | Ron Meir, Tong Zhang: Data-Dependent Bounds for Bayesian Mixture Methods. NIPS 2002: 319-326 |
| 32 | EE | Tong Zhang: Effective Dimension and Generalization of Kernel Learning. NIPS 2002: 454-461 |
| 31 | EE | Fred Damerau, Tong Zhang, Sholom M. Weiss, Nitin Indurkhya: Experiments in high-dimensional text categorization. SIGIR 2002: 357-358 |
| 30 | EE | David E. Johnson, Frank J. Oles, Tong Zhang, Thilo Götz: A decision-tree-based symbolic rule induction system for text categorization. IBM Systems Journal 41(3): 428-437 (2002) |
| 29 | Tong Zhang, Carlo Tomasi: On the Consistency of Instantaneous Rigid Motion Estimation. International Journal of Computer Vision 46(1): 51-79 (2002) | |
| 28 | EE | Tong Zhang, Vijay S. Iyengar: Recommender Systems Using Linear Classifier. Journal of Machine Learning Research 2: 313-334 (2002) |
| 27 | EE | Tong Zhang: Covering Number Bounds of Certain Regularized Linear Function Classes. Journal of Machine Learning Research 2: 527-550 (2002) |
| 26 | EE | Tong Zhang, Fred Damerau, David Johnson: Text Chunking based on a Generalization of Winnow. Journal of Machine Learning Research 2: 615-637 (2002) |
| 25 | Tong Zhang: On the Dual Formulation of Regularized Linear Systems with Convex Risks. Machine Learning 46(1-3): 91-129 (2002) | |
| 24 | EE | Tong Zhang: Approximation Bounds for Some Sparse Kernel Regression Algorithms. Neural Computation 14(12): 3013-3042 (2002) |
| 2001 | ||
| 23 | EE | Tong Zhang, Fred Damerau, David Johnson: Text Chunking using Regularized Winnow. ACL 2001: 539-546 |
| 22 | EE | Tong Zhang: A Leave-One-out Cross Validation Bound for Kernel Methods with Applications in Learning. COLT/EuroCOLT 2001: 427-443 |
| 21 | EE | Tong Zhang: A Sequential Approximation Bound for Some Sample-Dependent Convex Optimization Problems with Applications in Learning. COLT/EuroCOLT 2001: 65-81 |
| 20 | Tong Zhang: Some Sparse Approximation Bounds for Regression Problems. ICML 2001: 624-631 | |
| 19 | EE | Tong Zhang, Zhongfeng Wang, Keshab K. Parhi: On finite precision implementation of low density parity check codes decoder. ISCAS (4) 2001: 202-205 |
| 18 | EE | George Nagy, Tong Zhang, W. R. Franklin, Eric Landis, Edwin Nagy, Denis T. Keane: Volume and Surface Area Distributions of Cracks in Concrete. IWVF 2001: 759-768 |
| 17 | EE | Vijay S. Iyengar, Tong Zhang: Empirical Study of Recommender Systems Using Linear Classifiers. PAKDD 2001: 16-27 |
| 16 | Tong Zhang: An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. AI Magazine 22(2): 103-104 (2001) | |
| 15 | EE | Tong Zhang, Keshab K. Parhi: Systematic Design of Original and Modified Mastrovito Multipliers for General Irreducible Polynomials. IEEE Trans. Computers 50(7): 734-749 (2001) |
| 14 | Tong Zhang, Frank J. Oles: Text Categorization Based on Regularized Linear Classification Methods. Inf. Retr. 4(1): 5-31 (2001) | |
| 2000 | ||
| 13 | EE | Vijay S. Iyengar, Chidanand Apté, Tong Zhang: Active learning using adaptive resampling. KDD 2000: 91-98 |
| 12 | Tong Zhang: Convergence of Large Margin Separable Linear Classification. NIPS 2000: 357-363 | |
| 11 | Tong Zhang: Regularized Winnow Methods. NIPS 2000: 703-709 | |
| 10 | EE | Yang Li, Tong Zhang, Stephen E. Levinson: Word Concept Model for Intelligent Dialogue Agents. TSD 2000: 445-449 |
| 1999 | ||
| 9 | EE | Tong Zhang, C. C. Jay Kuo: Heuristic approach for generic audio data segmentation and annotation. ACM Multimedia (1) 1999: 67-76 |
| 8 | EE | Tong Zhang: Theoretical Analysis of a Class of Randomized Regularization Methods. COLT 1999: 156-163 |
| 7 | EE | Tong Zhang, Carlo Tomasi: Fast, Robust, and Consistent Camera Motion Estimation. CVPR 1999: 1164-1170 |
| 6 | EE | Tong Zhang: Some Theoretical Results Concerning the Convergence of Compositions of Regularized Linear Functions. NIPS 1999: 370-378 |
| 1998 | ||
| 5 | EE | Tong Zhang: Compression by Model Combination. Data Compression Conference 1998: 319-328 |
| 4 | Daniel H. Greene, F. Frances Yao, Tong Zhang: A Linear Algorithm for Optimal Context Clustering with Application to Bi-level Image Coding. ICIP (1) 1998: 508-511 | |
| 1996 | ||
| 3 | Gabriel Taubin, Tong Zhang, Gene H. Golub: Optimal Surface Smoothing as Filter Design. ECCV (1) 1996: 283-292 | |
| 2 | A. Jefferson Offutt, Jie Pan, Kanupriya Tewary, Tong Zhang: An Experimental Evaluation of Data Flow and Mutation Testing. Softw., Pract. Exper. 26(2): 165-176 (1996) | |
| 1991 | ||
| 1 | EE | Shuli Yang, Tong Zhang: The MmB difference solutions of 2-D Riemann problems for a 2*2 hyperbolic system of conservation laws. IMPACT Comput. Sci. Eng. 3(2): 146-180 (1991) |
Colors in the list of coauthors