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Zheng Tang
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2020 – today
- 2024
- [j122]Chao Wang, Zheng Tang, Hailu Xu:
WSSGCN: Wide Sub-stage Graph Convolutional Networks. Neurocomputing 602: 128273 (2024) - [j121]Sichen Tao, Zhiming Zhang, Ruihan Zhao, Zheng Tang, Yuki Todo:
A novel artificial visual system for motion direction detection in color images. Knowl. Based Syst. 295: 111816 (2024) - [j120]Yuxiao Hua, Yuki Todo, Sichen Tao, Zheng Tang, Tianqi Cheng, Zhiyu Qiu:
Bio-inspired computational model for direction and speed detection. Knowl. Based Syst. 300: 112195 (2024) - [j119]Tianqi Cheng, Yuki Kobayashi, Yuki Todo, Zheng Tang:
A learning artificial visual system for motion direction detection. Neural Comput. Appl. 36(27): 17181-17197 (2024) - [j118]Hailan Shen, Zheng Tang, Yajing Li, Xuanchu Duan, Zailiang Chen:
HAIC-NET: Semi-supervised OCTA vessel segmentation with self-supervised pretext task and dual consistency training. Pattern Recognit. 151: 110429 (2024) - [j117]Li Wen, Shuqin Dong, Yi Wang, Changzhan Gu, Zheng Tang, Zhiwei Liu, Yanfeng Wang, Junfa Mao:
Noncontact Infant Apnea Detection for Hypoxia Prevention With a K-Band Biomedical Radar. IEEE Trans. Biomed. Eng. 71(3): 1022-1032 (2024) - [j116]Chao Wang, Zheng Tang:
The Staged Knowledge Distillation in Video Classification: Harmonizing Student Progress by a Complementary Weakly Supervised Framework. IEEE Trans. Circuits Syst. Video Technol. 34(8): 6646-6660 (2024) - [c76]Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa:
The 8th AI City Challenge. CVPR Workshops 2024: 7261-7272 - [c75]Liqi Yan, Qifan Wang, Junhan Zhao, Qiang Guan, Zheng Tang, Jianhui Zhang, Dongfang Liu:
Radiance Field Learners As UAV First-Person Viewers. ECCV (61) 2024: 88-107 - [c74]Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin:
AlpaGasus: Training a Better Alpaca with Fewer Data. ICLR 2024 - [c73]Bin Li, Yuki Todo, Zheng Tang, Cheng Tang:
Binocular Disparity Unveils the Mechanisms of Stereo Feature Selectivity: Orientation and Motion. IJCNN 2024: 1-7 - [c72]Shiyang Li, Jun Yan, Hai Wang, Zheng Tang, Xiang Ren, Vijay Srinivasan, Hongxia Jin:
Instruction-following Evaluation through Verbalizer Manipulation. NAACL-HLT (Findings) 2024: 3678-3692 - [c71]Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin:
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection. NAACL-HLT 2024: 6065-6086 - [c70]Vikas Yadav, Zheng Tang, Vijay Srinivasan:
PAG-LLM: Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors. SIGIR 2024: 2569-2573 - [c69]Yumekatsu Shoji, Sichen Tao, Yuki Todo, Zheng Tang, Ruihan Zhao:
A Novel Artificial Visual System with Fully Modeled Retinal Direction-selectivity Ganglion Cell Pathway for Motion Direction Detection in Grayscale Images. SPML 2024: 212-215 - [c68]Sha Sun, Ruihan Zhao, Chenxi Wang, Zheng Tang, Sichen Tao:
A Differential Search Integrated Music Harmony Search Algorithm for Solving Bound Constrained Optimization Problems. SPML 2024: 231-235 - [i18]Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa:
The 8th AI City Challenge. CoRR abs/2404.09432 (2024) - [i17]Vikas Yadav, Zheng Tang, Vijay Srinivasan:
Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors. CoRR abs/2406.17163 (2024) - [i16]Liqi Yan, Qifan Wang, Junhan Zhao, Qiang Guan, Zheng Tang, Jianhui Zhang, Dongfang Liu:
Radiance Field Learners As UAV First-Person Viewers. CoRR abs/2408.05533 (2024) - 2023
- [j115]Wenjing Pan, Zhe Mu, Zexuan Zhao, Zheng Tang:
Female Users' TikTok Use and Body Image: Active Versus Passive Use and Social Comparison Processes. Cyberpsychology Behav. Soc. Netw. 26(1): 3-10 (2023) - [j114]Zheng Tang, Mihai Surdeanu:
It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers. Comput. Linguistics 49(1): 117-156 (2023) - [j113]Fenggang Yuan, Hiroyoshi Todo, Cheng Tang, Zheng Tang, Yuki Todo:
A model of the starburst amacrine cell for motion direction detection. Int. J. Bio Inspired Comput. 21(2): 69-80 (2023) - [j112]Xiaopan Zhang, Furong Zhang, Zheng Tang, Xingjun Chen:
A MILP model on coordinated coverage path planning system for UAV-ship hybrid team scheduling software. J. Syst. Softw. 206: 111854 (2023) - [c67]Zheng Tang, Mihai Surdeanu:
Bootstrapping Neural Relation and Explanation Classifiers. ACL (2) 2023: 48-56 - [c66]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa:
The 7th AI City Challenge. CVPR Workshops 2023: 5538-5548 - [i15]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa:
The 7th AI City Challenge. CoRR abs/2304.07500 (2023) - [i14]Chao Wang, Zheng Tang:
The Staged Knowledge Distillation in Video Classification: Harmonizing Student Progress by a Complementary Weakly Supervised Framework. CoRR abs/2307.05201 (2023) - [i13]Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin:
AlpaGasus: Training A Better Alpaca with Fewer Data. CoRR abs/2307.08701 (2023) - [i12]Shiyang Li, Jun Yan, Hai Wang, Zheng Tang, Xiang Ren, Vijay Srinivasan, Hongxia Jin:
Instruction-following Evaluation through Verbalizer Manipulation. CoRR abs/2307.10558 (2023) - [i11]Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin:
Virtual Prompt Injection for Instruction-Tuned Large Language Models. CoRR abs/2307.16888 (2023) - [i10]Yue Yao, Xinyu Tian, Zheng Tang, Sujit Biswas, Huan Lei, Tom Gedeon, Liang Zheng:
Training with Product Digital Twins for AutoRetail Checkout. CoRR abs/2308.09708 (2023) - 2022
- [b1]Zheng Tang:
Interpretable Natural Language Processing with Applications to Information Extraction. University of Arizona, Tucson, USA, 2022 - [j111]Xiao Yang, Zonghui Cai, Ting Jin, Zheng Tang, Shangce Gao:
A three-phase search approach with dynamic population size for solving the maximally diverse grouping problem. Eur. J. Oper. Res. 302(3): 925-953 (2022) - [j110]Cheng Tang, Shuangbao Song, Junkai Ji, Yajiao Tang, Zheng Tang, Yuki Todo:
A cuckoo search algorithm with scale-free population topology. Expert Syst. Appl. 188: 116049 (2022) - [j109]Liaoying Zhao, Jiaming Li, Jianjun Li, Yong Wu, Shichao Cheng, Zheng Tang, Guobao Hui, Chin-Chen Chang:
Learning stereo disparity with feature consistency and confidence. Int. J. Ad Hoc Ubiquitous Comput. 39(1/2): 83-92 (2022) - [j108]Zheng Tang:
Application of de-noising automatic coding method in freight volume prediction under intelligent logistics. Int. J. Grid Util. Comput. 13(1): 21-29 (2022) - [j107]Junkai Ji, Cheng Tang, Jiajun Zhao, Zheng Tang, Yuki Todo:
A survey on dendritic neuron model: Mechanisms, algorithms and practical applications. Neurocomputing 489: 390-406 (2022) - [j106]Cheng Tang, Yuki Todo, Junkai Ji, Zheng Tang:
A novel motion direction detection mechanism based on dendritic computation of direction-selective ganglion cells. Knowl. Based Syst. 241: 108205 (2022) - [j105]Bin Li, Yuki Todo, Zheng Tang, Cheng Tang:
The mechanism of orientation detection based on color-orientation jointly selective cells. Knowl. Based Syst. 254: 109715 (2022) - [j104]Jianjun Li, Jialuo Fei, Shichao Cheng, Zheng Tang, Guobao Hui:
TSG-net: a residual-based informing network for 3D Gaze estimation. Multim. Tools Appl. 81(3): 3647-3662 (2022) - [j103]Jianjun Li, Peiqi Tang, Yong Wu, Mian Pan, Zheng Tang, Guobao Hui:
Scene change detection: semantic and depth information. Multim. Tools Appl. 81(14): 19301-19319 (2022) - [j102]Na Ta, Kaiyu Li, Yi Yang, Fang Jiao, Zheng Tang, Guoliang Li:
Evaluating Public Anxiety for Topic-Based Communities in Social Networks. IEEE Trans. Knowl. Data Eng. 34(3): 1191-1205 (2022) - [c65]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa:
The 6th AI City Challenge. CVPR Workshops 2022: 3346-3355 - [c64]Zheng Tang, Xiaopan Zhang:
Task Scheduling for Warship Formation Air Defense. DSA 2022: 732-737 - [c63]Xin Sun, Hongchao Zheng, Zheng Tang:
Historical Information-Based Intent Detection for Multiturn Dialogue. ICCAI 2022: 566-572 - [c62]Zheng Tang, Shiwei Jing, Jianjun Li, Guobao Hui, Wanyong Tian:
Image Compression and Meaningful Ciphertext Encryption Based on Histogram Shift Embedding. ICS 2022: 398-406 - [c61]Haotian Li, Yifei Yang, Haichuan Yang, Zheng Tang, Shangce Gao:
Gravitational Search Algorithm With Hierarchical Structure Guided By Elite Individual. ISCID 2022: 180-184 - [c60]Yuta Kawanaka, Syuhei Sato, Kaisei Sakurai, Shangce Gao, Zheng Tang:
Human Face Modeling based on Deep Learning through Line-drawing. PG (Short Papers, Posters, and Work-in-Progress Papers) 2022: 13-14 - [c59]Pengxing Cai, Yu Zhang, Zheng Tang, Shangce Gao:
Chameleon Swarm Algorithm Enhanced by Differential Evolution. SCIS/ISIS 2022: 1-6 - [c58]Shintaro Fuji, Syuhei Sato, Kei Iwasaki, Yoshinori Dobashi, Shangce Gao, Zheng Tang:
Rendering of Scratched Transparent Materials using Precomputed SV-BSDFs. SIGGRAPH Posters 2022: 42:1-42:2 - [i9]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa:
The 6th AI City Challenge. CoRR abs/2204.10380 (2022) - [i8]Zheng Tang, Mihai Surdeanu:
It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers. CoRR abs/2204.11424 (2022) - 2021
- [j101]Shuangbao Song, Xingqian Chen, Zheng Tang, Yuki Todo:
A Two-Stage Method Based on Multiobjective Differential Evolution for Gene Selection. Comput. Intell. Neurosci. 2021: 5227377:1-5227377:16 (2021) - [j100]Lin Jiang, Jia Chen, Hiroyoshi Todo, Zheng Tang, Sicheng Liu, Yang Li:
Application of a Fast RCNN Based on Upper and Lower Layers in Face Recognition. Comput. Intell. Neurosci. 2021: 9945934:1-9945934:12 (2021) - [j99]Jixin Liu, Dan Yu, Zheng Tang:
Video summary generation by visual shielding compressed sensing coding and double-layer affinity propagation. J. Vis. Commun. Image Represent. 81: 103321 (2021) - [j98]Shuangbao Song, Xingqian Chen, Yanxin Zhang, Zheng Tang, Yuki Todo:
Protein-ligand docking using differential evolution with an adaptive mechanism. Knowl. Based Syst. 231: 107433 (2021) - [j97]Cheng Tang, Yuki Todo, Junkai Ji, Qiuzhen Lin, Zheng Tang:
Artificial immune system training algorithm for a dendritic neuron model. Knowl. Based Syst. 233: 107509 (2021) - [j96]Kang Peng, Zheng Tang, Longjun Dong, Daoyuan Sun:
Machine Learning Based Identification of Microseismic Signals Using Characteristic Parameters. Sensors 21(21): 6967 (2021) - [j95]Junkai Ji, Yajiao Tang, Lijia Ma, Jianqiang Li, Qiuzhen Lin, Zheng Tang, Yuki Todo:
Accuracy Versus Simplification in an Approximate Logic Neural Model. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5194-5207 (2021) - [j94]Jixin Liu, Yinyun Xia, Zheng Tang:
Privacy-preserving video fall detection using visual shielding information. Vis. Comput. 37(2): 359-370 (2021) - [c57]Tong Wu, Zhiqing Li, Shugen Ma, Zheng Tang:
Trajectory Tracking Design of Multi-robot Formation Based on Leader-Follower. CRC 2021: 90-95 - [c56]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Christian E. López, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff:
The 5th AI City Challenge. CVPR Workshops 2021: 4263-4273 - [c55]Hoang Van, Zheng Tang, Mihai Surdeanu:
How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks. EMNLP (Findings) 2021: 4074-4080 - [c54]Kehao Wang, Zheng Tang, Pei Liu, Yirui Cong, Xiangke Wang, Dejin Kong, Yitong Li:
UAV-Based and Energy-Constrained Data Collection System with Trajectory, Time, and Collection Scheduling Optimization. ICCC 2021: 893-898 - [c53]Fenggang Yuan, Cheng Tang, Yuki Todo, Zheng Tang:
An Efficient Orientation Detection Mechanism Inspired via Orientation-selective Amacrine Cells. SPML 2021: 7-11 - [c52]Yuxiao Hua, Riku Inoue, Cheng Tang, Yuki Todo, Zheng Tang:
The Mechanism of Motion Direction Detection from Gray Images. SPML 2021: 12-17 - [c51]Sichen Tao, Riku Inoue, Yuki Todo, Zheng Tang:
A Motion Direction Detective Mechanism for Greyscale Images. SPML 2021: 18-25 - [i7]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff:
The 5th AI City Challenge. CoRR abs/2104.12233 (2021) - [i6]Hoang Van, Zheng Tang, Mihai Surdeanu:
How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks. CoRR abs/2109.04604 (2021) - 2020
- [j93]Cheng Tang, Junkai Ji, Yajiao Tang, Shangce Gao, Zheng Tang, Yuki Todo:
A novel machine learning technique for computer-aided diagnosis. Eng. Appl. Artif. Intell. 92: 103627 (2020) - [j92]Xingqian Chen, Shuangbao Song, Junkai Ji, Zheng Tang, Yuki Todo:
Incorporating a multiobjective knowledge-based energy function into differential evolution for protein structure prediction. Inf. Sci. 540: 69-88 (2020) - [j91]Jixin Liu, Zheng Tang, Ning Sun, Guang Han, Sam Kwong:
Visual privacy-preserving level evaluation for multilayer compressed sensing model using contrast and salient structural features. Signal Process. Image Commun. 89: 115996 (2020) - [c50]Zheng Tang, Gus Hahn-Powell, Mihai Surdeanu:
Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder. ACL (student) 2020: 169-175 - [c49]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty:
The 4th AI City Challenge. CVPR Workshops 2020: 2665-2674 - [c48]Pengxing Cai, Haichuan Yang, Yu Zhang, Yuki Todo, Zheng Tang, Shangce Gao:
A Sine Cosine Algorithm Enhanced Spherical Evolution for Continuous Optimization Problems. ISCID 2020: 1-6 - [c47]Linfeng Du, Yu Zhang, Syuhei Sato, Yuki Todo, Zheng Tang, Shangce Gao:
Differential Evolution-Based Wingsuit Flying Search for Optimization. ISCID 2020: 7-12 - [i5]Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty:
The 4th AI City Challenge. CoRR abs/2004.14619 (2020) - [i4]Zheng Tang, Milind Naphade, Stan Birchfield, Jonathan Tremblay, William Hodge, Ratnesh Kumar, Shuo Wang, Xiaodong Yang:
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data. CoRR abs/2005.00673 (2020)
2010 – 2019
- 2019
- [j90]Zheng Tang, Yen-Shuo Lin, Kuan-Hui Lee, Jenq-Neng Hwang, Jen-Hui Chuang:
ESTHER: Joint Camera Self-Calibration and Automatic Radial Distortion Correction From Tracking of Walking Humans. IEEE Access 7: 10754-10766 (2019) - [j89]Zheng Tang, Jenq-Neng Hwang:
MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D. IEEE Access 7: 31934-31945 (2019) - [j88]Yin Dai, Zheng Tang, Yang Wang, Zi'an Xu:
Data Driven Intelligent Diagnostics for Parkinson's Disease. IEEE Access 7: 106941-106950 (2019) - [j87]Shuangyu Song, Xingqian Chen, Cheng Tang, Shuangbao Song, Zheng Tang, Yuki Todo:
Training an Approximate Logic Dendritic Neuron Model Using Social Learning Particle Swarm Optimization Algorithm. IEEE Access 7: 141947-141959 (2019) - [j86]Yajiao Tang, Junkai Ji, Yulin Zhu, Shangce Gao, Zheng Tang, Yuki Todo:
A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction. Complex. 2019: 8682124:1-8682124:21 (2019) - [j85]Yuki Todo, Zheng Tang, Hiroyoshi Todo, Junkai Ji, Kazuya Yamashita:
Neurons with Multiplicative Interactions of Nonlinear Synapses. Int. J. Neural Syst. 29(8): 1950012:1-1950012:18 (2019) - [j84]Junkai Ji, Shuangbao Song, Cheng Tang, Shangce Gao, Zheng Tang, Yuki Todo:
An artificial bee colony algorithm search guided by scale-free networks. Inf. Sci. 473: 142-165 (2019) - [j83]Junkai Ji, Shuangbao Song, Yajiao Tang, Shangce Gao, Zheng Tang, Yuki Todo:
Approximate logic neuron model trained by states of matter search algorithm. Knowl. Based Syst. 163: 120-130 (2019) - [c46]Milind Naphade, Zheng Tang, Ming-Ching Chang, David C. Anastasiu, Anuj Sharma, Rama Chellappa, Shuo Wang, Pranamesh Chakraborty, Tingting Huang, Jenq-Neng Hwang, Siwei Lyu:
The 2019 AI City Challenge. CVPR Workshops 2019: 452-460 - [c45]Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David C. Anastasiu, Jenq-Neng Hwang:
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification. CVPR 2019: 8797-8806 - [c44]Zheng Tang, Milind Naphade, Stan Birchfield, Jonathan Tremblay, William Hodge, Ratnesh Kumar, Shuo Wang, Xiaodong Yang:
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data. ICCV 2019: 211-220 - [c43]Zhaolong Zeng, Miaomiao Hou, Zheng Tang, Huanggang Wu, Xiaofeng Hu:
Seasonality of Property Crimes in a Neighborhood-Scale of Beijing, China. ICNC-FSKD 2019: 1105-1114 - [c42]Rebecca Sharp, Adarsh Pyarelal, Benjamin M. Gyori, Keith Alcock, Egoitz Laparra, Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Vikas Yadav, John A. Bachman, Zheng Tang, Heather C. Lent, Fan Luo, Mithun Paul, Steven Bethard, Kobus Barnard, Clayton T. Morrison, Mihai Surdeanu:
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. NAACL-HLT (Demonstrations) 2019: 42-47 - [i3]Zheng Tang, Jenq-Neng Hwang:
MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D. CoRR abs/1901.02626 (2019) - [i2]Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David C. Anastasiu, Jenq-Neng Hwang:
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification. CoRR abs/1903.09254 (2019) - 2018
- [j82]Shuangbao Song, Junkai Ji, Xingqian Chen, Shangce Gao, Zheng Tang, Yuki Todo:
Adoption of an improved PSO to explore a compound multi-objective energy function in protein structure prediction. Appl. Soft Comput. 72: 539-551 (2018) - [j81]Jianjun Li, Chenyan Wang, Xie Chen, Zheng Tang, Guobao Hui, Chin-Chen Chang:
A selective encryption scheme of CABAC based on video context in high efficiency video coding. Multim. Tools Appl. 77(10): 12837-12851 (2018) - [j80]Young-Gun Lee, Zheng Tang, Jenq-Neng Hwang:
Online-Learning-Based Human Tracking Across Non-Overlapping Cameras. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2870-2883 (2018) - [c41]Zheng Tang, Gaoang Wang, Hao Xiao, Aotian Zheng, Jenq-Neng Hwang:
Single-Camera and Inter-Camera Vehicle Tracking and 3D Speed Estimation Based on Fusion of Visual and Semantic Features. CVPR Workshops 2018: 108-115 - [c40]T. K. Satish Kumar, Hong Xu, Zheng Tang, Anoop Kumar, Craig Milo Rogers, Craig A. Knoblock:
Alert Generation in Execution Monitoring Using Resource Envelopes. FLAIRS 2018: 38-43 - [c39]Na Wang, Haiqing Du, Yong Liu, Zheng Tang, Jenq-Neng Hwang:
Self-Calibration of Traffic Surveillance Cameras Based on Moving Vehicle Appearance and 3-D Vehicle Modeling. ICIP 2018: 3064-3068 - [c38]Zheng Tang, Renshu Gu, Jenq-Neng Hwang:
Joint Multi-View People Tracking and Pose Estimation for 3D Scene Reconstruction. ICME 2018: 1-6 - 2017
- [j79]Ying Yu, Yirui Wang, Shangce Gao, Zheng Tang:
Statistical Modeling and Prediction for Tourism Economy Using Dendritic Neural Network. Comput. Intell. Neurosci. 2017: 7436948:1-7436948:9 (2017) - [j78]Ting Wang, Tiansheng Xu, Zheng Tang, Yuki Todo:
TongSACOM: A TongYiCiCiLin and Sequence Alignment-Based Ontology Mapping Model for Chinese Linked Open Data. IEICE Trans. Inf. Syst. 100-D(6): 1251-1261 (2017) - [j77]Zheng Tang, Ming He, Jianxiang Xi, Guangbin Liu:
Leader-following guaranteed-performance consensus design for singular multi-agent systems with Lipschitz nonlinear dynamics. Neurocomputing 266: 651-658 (2017) - [c37]Young-Gun Lee, Zheng Tang, Jenq-Neng Hwang, Zhijun Fang:
Inter-camera tracking based on fully unsupervised online learning. ICIP 2017: 2607-2611 - [c36]T. K. Satish Kumar, Hong Xu, Zheng Tang, Anoop Kumar, Craig Milo Rogers, Craig A. Knoblock:
A Distributed Logical Filter for Connected Row Convex Constraints. ICTAI 2017: 96-101 - [c35]Tao Liu, Yong Liu, Zheng Tang, Jenq-Neng Hwang:
Adaptive ground plane estimation for moving camera-based 3D object tracking. MMSP 2017: 1-6 - [i1]Zheng Tang, Gaoang Wang, Tao Liu, Young-Gun Lee, Adwin Jahn, Xu Liu, Xiaodong He, Jenq-Neng Hwang:
Multiple-Kernel Based Vehicle Tracking Using 3D Deformable Model and Camera Self-Calibration. CoRR abs/1708.06831 (2017) - 2016
- [j76]Shangce Gao, Yirui Wang, Jiujun Cheng, Yasuhiro Inazumi, Zheng Tang:
Ant colony optimization with clustering for solving the dynamic location routing problem. Appl. Math. Comput. 285: 149-173 (2016) - [j75]Junkai Ji, Shangce Gao, Jiujun Cheng, Zheng Tang, Yuki Todo:
An approximate logic neuron model with a dendritic structure. Neurocomputing 173: 1775-1783 (2016) - [j74]Zheng Tang, Hongzhe Liu, Jiazheng Yuan:
单一光照颜色恒常性计算研究进展 (Advances Research on Color Constancy Computation under Single Illuminant). 计算机科学 43(11): 12-18 (2016) - [j73]Tianle Zhou, Shangce Gao, Jiahai Wang, Chaoyi Chu, Yuki Todo, Zheng Tang:
Financial time series prediction using a dendritic neuron model. Knowl. Based Syst. 105: 214-224 (2016) - [j72]Zhe Liu, Yuqing Song, Conghua Xie, Zheng Tang:
A new clustering method of gene expression data based on multivariate Gaussian mixture models. Signal Image Video Process. 10(2): 359-368 (2016) - [c34]Zheng Tang, Jenq-Neng Hwang, Yen-Shuo Lin, Jen-Hui Chuang:
Multiple-kernel adaptive segmentation and tracking (MAST) for robust object tracking. ICASSP 2016: 1115-1119 - [c33]Aorigele, Shuaiqun Wang, Zheng Tang, Shangce Gao, Yuki Todo:
Improved Binary Imperialist Competition Algorithm for Feature Selection from Gene Expression Data. ICIC (3) 2016: 67-78 - [c32]Zheng Tang, Yen-Shuo Lin, Kuan-Hui Lee, Jenq-Neng Hwang, Jen-Hui Chuang, Zhijun Fang:
Camera self-calibration from tracking of moving persons. ICPR 2016: 265-270 - 2015
- [j71]Shuaiqun Wang, Shangce Gao, Aorigele, Yuki Todo, Zheng Tang:
A Multi-Learning Immune Algorithm for Numerical Optimization. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 98-A(1): 362-377 (2015) - [j70]Zijun Sha, Lin Hu, Yuki Todo, Junkai Ji, Shangce Gao, Zheng Tang:
A Breast Cancer Classifier Using a Neuron Model with Dendritic Nonlinearity. IEICE Trans. Inf. Syst. 98-D(7): 1365-1376 (2015) - [j69]Zhe Liu, Yuqing Song, Zheng Tang:
Noised image segmentation based on rough set and orthogonal polynomial density model. J. Electronic Imaging 24(2): 023010 (2015) - [j68]Shuaiqun Wang, Aorigele, Shangce Gao, Zheng Tang, Haiying Ma:
基于进出口贸易的帝国主义竞争算法 (Imperialist Competitive Algorithm Based on Import and Export Trade). 计算机科学 42(5): 14-18 (2015) - 2014
- [j67]Shangce Gao, Catherine Vairappan, Yan Wang, Qi Ping Cao, Zheng Tang:
Gravitational search algorithm combined with chaos for unconstrained numerical optimization. Appl. Math. Comput. 231: 48-62 (2014) - [j66]Gang Yang, Nan Yang, Junyan Yi, Zheng Tang:
An improved competitive Hopfield network with inhibitive competitive activation mechanism for maximum clique problem. Neurocomputing 130: 28-35 (2014) - [j65]Yuki Todo, Hiroki Tamura, Kazuya Yamashita, Zheng Tang:
Unsupervised learnable neuron model with nonlinear interaction on dendrites. Neural Networks 60: 96-103 (2014) - [c31]Zheng Tang, Yuqing Song, Zhe Liu:
Medical Image Clustering Based on Improved Particle Swarm Optimization and Expectation Maximization Algorithm. CCPR (2) 2014: 360-371 - [c30]Zheng Tang, Dawn A. A. Black:
Melody Extraction from Polyphonic Audio of Western Opera: A Method based on Detection of the Singer's Formant. ISMIR 2014: 161-166 - 2013
- [j64]Zheng Tang, Chao Sun, Zongwei Liu:
The tracking algorithm for maneuvering target based on adaptive kalman filter. Int. Arab J. Inf. Technol. 10(5): 453-459 (2013) - [c29]Zheng Tang, Jing Xie, Zhigang Mao:
A novel architecture scheme with adaptive pipeline coupling technique for DSP processor design. ASICON 2013: 1-4 - [c28]Shuangming Li, Yan Su, Ying Wan, Zheng Tang:
Performance optimization of temperature compensated surface acoustic wave biosensors. ICST 2013: 62-66 - 2012
- [j63]Junqi Zhang, Lina Ni, Chen Xie, Shangce Gao, Zheng Tang:
Inertial Estimator Learning Automata. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 95-A(6): 1041-1048 (2012) - [c27]Huiran Zhang, Jiang Xie, Michael Marschollek, Mareike Schulze, Zheng Tang, Wu Zhang:
Visual synchronization analysis of simple color stimuli. BHI 2012: 569-572 - 2011
- [j62]Huiran Zhang, Yantao Li, Zheng Tang:
Study on Brainwave Responses from Ears: the Event-related Synchronization under the Auditory Stimulus. Comput. Inf. Sci. 4(3): 18-32 (2011) - [j61]Shangce Gao, Qi Ping Cao, Masahiro Ishii, Zheng Tang:
Local Search with Probabilistic Modeling for Learning Multiple-Valued Logic Networks. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 94-A(2): 795-805 (2011) - [j60]Junqi Zhang, Lina Ni, Chen Xie, Ying Tan, Zheng Tang:
AMT-PSO: An Adaptive Magnification Transformation Based Particle Swarm Optimizer. IEICE Trans. Inf. Syst. 94-D(4): 786-797 (2011) - [j59]Junqi Zhang, Lina Ni, Jing Yao, Wei Wang, Zheng Tang:
Adaptive Bare Bones Particle Swarm Inspired by Cloud Model. IEICE Trans. Inf. Syst. 94-D(8): 1527-1538 (2011) - [j58]Wei Wang, Mei Chang, Xiaofei Wang, Zheng Tang:
An Affinity Based Complex Artificial Immune System. Int. J. Digit. Libr. Syst. 2(2): 13-26 (2011) - 2010
- [j57]Shangce Gao, Rong Long Wang, Masahiro Ishii, Zheng Tang:
An Artificial Immune System with Feedback Mechanisms for Effective Handling of Population Size. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 93-A(2): 532-541 (2010) - [j56]Junqi Zhang, Ying Tan, Lina Ni, Chen Xie, Zheng Tang:
Hybrid Uniform Distribution of Particle Swarm Optimizer. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 93-A(10): 1782-1791 (2010) - [j55]Hongwei Dai, Shangce Gao, Yu Yang, Zheng Tang:
Effects of "rich-gets-richer" rule on small-world networks. Neurocomputing 73(10-12): 2286-2289 (2010)
2000 – 2009
- 2009
- [j54]Tianbao Zhuang, Hong Zhao, Zheng Tang:
An Analysis of Improving Memory Performance Based on EEG Alpha and Theta Oscillations. Comput. Inf. Sci. 2(1): 108-114 (2009) - [j53]Tianbao Zhuang, Hong Zhao, Zheng Tang:
A Study of Brainwave Entrainment Based on EEG Brain Dynamics. Comput. Inf. Sci. 2(2): 80-86 (2009) - [j52]Hongwei Dai, Yu Yang, Cunhua Li, Jun Shi, Shangce Gao, Zheng Tang:
Quantum Interference Crossover-Based Clonal Selection Algorithm and Its Application to Traveling Salesman Problem. IEICE Trans. Inf. Syst. 92-D(1): 78-85 (2009) - [j51]Shangce Gao, Qi Ping Cao, Catherine Vairappan, Jianchen Zhang, Zheng Tang:
An Improved Local Search Learning Method for Multiple-Valued Logic Network Minimization with Bi-objectives. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(2): 594-603 (2009) - [j50]Shangce Gao, Rong Long Wang, Hiroki Tamura, Zheng Tang:
A Multi-Layered Immune System for Graph Planarization Problem. IEICE Trans. Inf. Syst. 92-D(12): 2498-2507 (2009) - [j49]Catherine Vairappan, Shangce Gao, Zheng Tang, Hiroki Tamura:
Annealed Chaotic Learning for Time Series Prediction in Improved Neuro-Fuzzy Network with Feedbacks. Int. J. Comput. Intell. Appl. 8(4): 429-444 (2009) - [j48]Gang Yang, Junyan Yi, Zhiqiang Zhang, Zheng Tang:
A TCNN filter algorithm to maximum clique problem. Neurocomputing 72(4-6): 1312-1318 (2009) - [j47]Junyan Yi, Gang Yang, Zhiqiang Zhang, Zheng Tang:
An improved elastic net method for traveling salesman problem. Neurocomputing 72(4-6): 1329-1335 (2009) - [j46]Catherine Vairappan, Hiroki Tamura, Shangce Gao, Zheng Tang:
Batch type local search-based adaptive neuro-fuzzy inference system (ANFIS) with self-feedbacks for time-series prediction. Neurocomputing 72(7-9): 1870-1877 (2009) - [j45]Shangce Gao, Jianchen Zhang, Zheng Tang, Qi Ping Cao:
A Chaotic Dynamic Local Search Method for Learning Multiple-Valued Logic Networks. J. Multiple Valued Log. Soft Comput. 15(5-6): 433-449 (2009) - [j44]Wei Wang, Shangce Gao, Zheng Tang:
Improved pattern recognition with complex artificial immune system. Soft Comput. 13(12): 1209-1217 (2009) - 2008
- [j43]Tianbao Zhuang, Hong Zhao, Zheng Tang:
Revelations of the New Developments of Brain Science on Early Education. Comput. Inf. Sci. 1(3): 60-65 (2008) - [j42]Shangce Gao, Wei Wang, Hongwei Dai, Fangjia Li, Zheng Tang:
Improved Clonal Selection Algorithm Combined with Ant Colony Optimization. IEICE Trans. Inf. Syst. 91-D(6): 1813-1823 (2008) - [j41]Shangce Gao, Hongwei Dai, Jianchen Zhang, Zheng Tang:
An Expanded Lateral Interactive Clonal Selection Algorithm and Its Application. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 91-A(8): 2223-2231 (2008) - [c26]Hiroki Tamura, Koichi Tanno, Hisashi Tanaka, Catherine Vairappan, Zheng Tang:
Recurrent type ANFIS using local search technique for time series prediction. APCCAS 2008: 380-383 - [c25]Junyan Yi, Gang Yang, Yuki Todo, Zheng Tang:
An efficient Elastic Net method for edge linking of images. APCCAS 2008: 388-391 - [c24]Wei Wang, Shangce Gao, Zheng Tang:
A Complex Artificial Immune System. ICNC (6) 2008: 597-601 - [c23]Junyan Yi, Weixing Bi, Gang Yang, Zheng Tang:
A Fast Elastic Net Method for Traveling Salesman Problem. ISDA (1) 2008: 462-467 - 2007
- [j40]Zheng Tang:
An effective dispute resolution system for electronic consumer contracts. Comput. Law Secur. Rev. 23(1): 42-52 (2007) - [j39]Qi Ping Cao, Shangce Gao, Jianchen Zhang, Zheng Tang, Haruhiko Kimura:
A Stochastic Dynamic Local Search Method for Learning Multiple-Valued Logic Networks. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 90-A(5): 1085-1092 (2007) - [j38]Shangce Gao, Hongwei Dai, Gang Yang, Zheng Tang:
A Novel Clonal Selection Algorithm and Its Application to Traveling Salesman Problem. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 90-A(10): 2318-2325 (2007) - [j37]Shangce Gao, Zheng Tang, Hongwei Dai, Jianchen Zhang:
An Improved Clonal Selection Algorithm and Its Application to Traveling Salesman Problems. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 90-A(12): 2930-2938 (2007) - [j36]Gang Yang, Zheng Tang, Zhiqiang Zhang, Yunyi Zhu:
A Flexible Annealing Chaotic Neural Network to Maximum Clique Problem. Int. J. Neural Syst. 17(3): 183-192 (2007) - [c22]Zhiqiang Zhang, GuoFeng Tang, Zheng Tang:
An Improved Algorithm for Eleman Neural Network to Avoid the Local Minima Problem. ICNC (1) 2007: 84-88 - [c21]Yan Sun, Jian Huang, XiangXu Meng, Zheng Tang:
A Unidirectional Linear Response Neuro-Fuzzy Controller Based on Fibonacci Search. IMECS 2007: 1585-1590 - [c20]Zhiqiang Zhang, Zheng Tang, GuoFeng Tang, Catherine Vairappan, XuGang Wang, Runqun Xiong:
An Improved Algorithm for Eleman Neural Network by Adding a Modified Error Function. ISNN (2) 2007: 465-473 - 2006
- [j35]Hongwei Dai, Zheng Tang, Yu Yang, Hiroki Tamura:
Affinity Based Lateral Interaction Artificial Immune System. IEICE Trans. Inf. Syst. 89-D(4): 1515-1524 (2006) - [j34]Hiroki Tamura, Zongmei Zhang, Zheng Tang, Masahiro Ishii:
Objective Function Adjustment Algorithm for Combinatorial Optimization Problems. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 89-A(9): 2441-2444 (2006) - [c19]XuGang Wang, Hongan Wang, Guozhong Dai, Zheng Tang:
A Reliable Resilient Backpropagation Method with Gradient Ascent. ICIC (2) 2006: 236-244 - [c18]Hongwei Dai, Yu Yang, Yanqiu Che, Zheng Tang:
Clonal Selection Theory Based Artificial Immune System and Its Application. ICONIP (2) 2006: 1071-1078 - [c17]Songsong Li, Toshimi Okada, Xiaoming Chen, Zheng Tang:
An Individual Adaptive Gain Parameter Backpropagation Algorithm for Complex-Valued Neural Networks. ISNN (1) 2006: 551-557 - 2005
- [j33]Weixing Bi, XuGang Wang, Zheng Tang, Hiroki Tamura:
Avoiding the Local Minima Problem in Backpropagation Algorithm with Modified Error Function. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 88-A(12): 3645-3653 (2005) - [j32]Xiaoming Chen, Zheng Tang, Catherine Vairappan, Songsong Li, Toshimi Okada:
A modified error backpropagation algorithm for complex-value neural networks. Int. J. Neural Syst. 15(6): 435-443 (2005) - [j31]Guangpu Xia, Zheng Tang, Yong Li, Jiahai Wang:
A binary Hopfield neural network with hysteresis for large crossbar packet-switches. Neurocomputing 67: 417-425 (2005) - [j30]Jiahai Wang, Zheng Tang, Xinshun Xu, Yong Li:
A discrete competitive Hopfield neural network for cellular channel assignment problems. Neurocomputing 67: 436-442 (2005) - [j29]Xinshun Xu, Zheng Tang, Jiahai Wang:
A method to improve the transiently chaotic neural network. Neurocomputing 67: 456-463 (2005) - [j28]Hiroki Tamura, Zongmei Zhang, Xinshun Xu, Masahiro Ishii, Zheng Tang:
Lagrangian object relaxation neural network for combinatorial optimization problems. Neurocomputing 68: 297-305 (2005) - [j27]Guangpu Xia, Zheng Tang, Rong Long Wang, Yong Li, Qi Ping Cao:
The Hysteretic Hopfield Neural Network Architecture for Maximum Cut Problem. Neural Parallel Sci. Comput. 13(1): 1-14 (2005) - [j26]Yong Li, Zheng Tang, Guangpu Xia, Rong Long Wang:
A positively self-feedbacked Hopfield neural network architecture for crossbar switching. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(1): 200-206 (2005) - 2004
- [j25]Jiahai Wang, Zheng Tang, Rong Long Wang:
A Chaotic Maximum Neural Network for Maximum Clique Problem. IEICE Trans. Inf. Syst. 87-D(7): 1953-1961 (2004) - [j24]Jiahai Wang, Zheng Tang, Rong Long Wang:
An Annealed Chaotic Maximum Neural Network For Bipartite Subgraph Problem. Int. J. Neural Syst. 14(2): 107-116 (2004) - [j23]Jiahai Wang, Zheng Tang, Qi Ping Cao, Rong Long Wang:
Optimal competitive hopfield network with stochastic dynamics for maximum cut problem. Int. J. Neural Syst. 14(4): 257-265 (2004) - [j22]Xinshun Xu, Zheng Tang, Jiahai Wang:
An improved transiently chaotic neural network for the maximum independent set problem. Int. J. Neural Syst. 14(6): 381-392 (2004) - [j21]Xinshun Xu, Zheng Tang, Rong Long Wang, XuGang Wang:
A new motion equation for the minimum vertex cover problem. Neurocomputing 56: 441-446 (2004) - [j20]XuGang Wang, Zheng Tang, Hiroki Tamura, Masahiro Ishii, W. D. Sun:
An improved backpropagation algorithm to avoid the local minima problem. Neurocomputing 56: 455-460 (2004) - [j19]XuGang Wang, Zheng Tang, Hiroki Tamura, Masahiro Ishii:
A modified error function for the backpropagation algorithm. Neurocomputing 57: 477-484 (2004) - [j18]Jiahai Wang, Zheng Tang, Rong Long Wang:
Maximum neural network with nonlinear self-feedback for maximum clique problem. Neurocomputing 57: 485-492 (2004) - [j17]Jiahai Wang, Zheng Tang:
An improved optimal competitive Hopfield network for bipartite subgraph problems. Neurocomputing 61: 413-419 (2004) - [j16]Rong Long Wang, Zheng Tang, Qi Ping Cao:
A Hopfield network learning method for bipartite subgraph problem. IEEE Trans. Neural Networks 15(6): 1458-1465 (2004) - [c16]Zheng Tang:
Jurisdiction and Consumer Contract in E-Business. ICEB 2004: 1344-1349 - [c15]Weixing Bi, XuGang Wang, Ziliang Zong, Zheng Tang:
Modified Error Function with Added Terms for the Backpropagation Algorithm. ISNN (1) 2004: 338-343 - [c14]Xinshun Xu, Jiahai Wang, Zheng Tang, Xiaoming Chen, Yong Li, Guangpu Xia:
A Method to Improve the Transiently Chaotic Neural Network. ISNN (1) 2004: 401-405 - [c13]Guangpu Xia, Zheng Tang, Jiahai Wang, Rong Long Wang, Yong Li, Guangan Xia:
A New Parallel Improvement Algorithm for Maximum Cut Problem. ISNN (1) 2004: 419-424 - [c12]Jiahai Wang, Xinshun Xu, Zheng Tang, Weixing Bi, Xiaoming Chen, Yong Li:
A New Neural Network Algorithm for Clique Vertex-Partition Problem. ISNN (1) 2004: 425-429 - [c11]Xiaoming Chen, Zheng Tang, Xinshun Xu, Songsong Li, Guangpu Xia, Jiahai Wang:
An Algorithm Based on Hopfield Network Learning for Minimum Vertex Cover Problem. ISNN (1) 2004: 430-435 - [c10]Yong Li, Zheng Tang, Rong Long Wang, Guangpu Xia, Jiahai Wang:
A Positively Self-Feedbacked Hopfield Neural Network for N-Queens Problem. ISNN (1) 2004: 442-447 - 2003
- [j15]Rong Long Wang, Zheng Tang, Qi Ping Cao:
Solving Maximum Cut Problem Using Improved Hopfield Neural Network. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(3): 722-729 (2003) - [j14]Zheng Tang, Jiahai Wang, Qi Ping Cao:
A Gradient Ascent Learning Algorithm for Elastic Nets. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(4): 940-945 (2003) - [j13]Wei-Dong Sun, Zheng Tang, Hiroki Tamura, Masahiro Ishii:
An Artificial Immune System Architecture and Its Applications. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(7): 1858-1868 (2003) - [j12]XuGang Wang, Zheng Tang, Hiroki Tamura, Masahiro Ishii:
Multilayer Network Learning Algorithm Based on Pattern Search Method. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(7): 1869-1875 (2003) - [j11]Qi Ping Cao, Zheng Tang, Rong Long Wang, XuGang Wang:
A Local Search Based Learning Method for Multiple-Valued Logic Networks. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(7): 1876-1884 (2003) - [j10]Jiahai Wang, Zheng Tang, Qi Ping Cao, Xinshun Xu:
An Elastic Net Learning Algorithm for Edge Linking of Images. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(11): 2879-2886 (2003) - [j9]Zheng Tang, XuGang Wang, Hiroki Tamura, Masahiro Ishii:
An Algorithm of Supervised Learning for Multilayer Neural Networks. Neural Comput. 15(5): 1125-1142 (2003) - [j8]Rong Long Wang, Zheng Tang, Qi Ping Cao:
An Efficient Approximation Algorithm for Finding a Maximum Clique Using Hopfield Network Learning. Neural Comput. 15(7): 1605-1619 (2003) - [j7]Zheng Tang, Koichi Tashima, Qi Ping Cao:
Pattern recognition system using a clonal selection-based immune network. Syst. Comput. Jpn. 34(12): 56-63 (2003) - 2002
- [j6]Rong Long Wang, Zheng Tang, Qi Ping Cao:
A Near-Optimum Parallel Algorithm for Bipartite Subgraph Problem Using the Hopfield Neural Network Learning. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 85-A(2): 497-504 (2002) - [j5]Zheng Tang, XuGang Wang:
A Method of Learning for Multi-Layer Networks. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 85-A(2): 522-525 (2002) - [j4]Rong Long Wang, Zheng Tang, Qi Ping Cao:
A New Updating Procedure in the Hopfield-Type Network and Its Application to N-Queens Problem. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 85-A(10): 2368-2372 (2002) - [j3]Rong Long Wang, Zheng Tang, Qi Ping Cao:
A learning method in Hopfield neural network for combinatorial optimization problem. Neurocomputing 48(1-4): 1021-1024 (2002) - 2001
- [j2]Koichi Tashima, Zheng Tang, Okihiko Ishizuka, Koichi Tanno:
An immune network with interactions between B cells for pattern recognition. Syst. Comput. Jpn. 32(10): 31-41 (2001)
1990 – 1999
- 1998
- [j1]Zheng Tang, Okihiko Ishizuka:
A Learning Multiple-Valued Logic Network: Algebra, Algorithm, and Applications. IEEE Trans. Computers 47(2): 247-251 (1998) - [c9]Jing Shen, Koichi Tanno, Okihiko Ishizuka, Zheng Tang:
Application of Neuron-MOS to Current-Mode Multi-Valued Logic Circuits. ISMVL 1998: 128-133 - 1997
- [c8]Okihiko Ishizuka, Akihiro Ohta, Koichi Tanno, Zheng Tang, Dwi Handoko:
VLSI Design of a Quaternary Multiplier with Direct Generation of Partial Products. ISMVL 1997: 169-174 - [c7]Zheng Tang, Takayuki Yamaguchi, Koichi Tashima, Okihiko Ishizuka, Koichi Tanno:
Multiple-Valued Immune Network Model and Its Simulations. ISMVL 1997: 233-240 - 1995
- [c6]Zheng Tang, Yuichi Shirata, Okihiko Ishizuka, Koichi Tanno:
A Self-Calibrating A/D Converter Using T-Model Neural Network. ISCAS 1995: 533-536 - [c5]Zheng Tang, Okihiko Ishizuka, Koichi Tanno:
Learning Multiple-Valued Logic Networks Based on Back Propagation. ISMVL 1995: 270-275 - 1993
- [c4]Zheng Tang, Okihiko Ishizuka, Qixin Cao, Hiroki Matsumoto:
Algebraic Properties of a Learning Multiple-Valued Logic Network. ISMVL 1993: 196-201 - [c3]Qixin Cao, Okihiko Ishizuka, Zheng Tang, Hiroki Matsumoto:
Algorithm and Implementation of a Learning Multiple-Valued Logic Network. ISMVL 1993: 202-207 - 1991
- [c2]Okihiko Ishizuka, Hiroshi Takarabe, Zheng Tang, Hiroki Matsumoto:
Synthesis of Current-Mode Pass Transistor Networks. ISMVL 1991: 139-146 - 1990
- [c1]Okihiko Ishizuka, Zheng Tang, Hiroki Matsumoto:
On Design of Multiple-Valued Static Random-Access-Memory. ISMVL 1990: 11-17
Coauthor Index
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