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2020 – today
- 2024
[j86]Peng Tang, Chuangxin Zhao, Shizhe Liang, Yuehong Dai:
Performance-Constraint Fault Tolerant Control to Aircraft in Presence of Actuator Deviation. Algorithms 17(5): 196 (2024)- [j85]Pengfei Li, Huihuang Zhao, Qingyun Liu, Peng Tang, Lin Zhang:
TellMeTalk: Multimodal-driven talking face video generation. Comput. Electr. Eng. 114: 109049 (2024) - [j84]Haoran Duan
, Cheng Xie, Peng Tang, Beibei Yu:
Contextual features online prediction for self-supervised graph representation. Expert Syst. Appl. 238(Part C): 122075 (2024) - [j83]Ning Wang, Yifei Liu, Zhigang Wang, Zhiqiang Wei, Ruichun Tang, Peng Tang, Ge Yu:
Locally differentially private frequency distribution estimation with relative error optimization. Frontiers Comput. Sci. 18(5): 185613 (2024) - [j82]Chaomeng Chen, Zhenhong Zhou, Peng Tang, Longzhu He, Sen Su:
Enforcing group fairness in privacy-preserving Federated Learning. Future Gener. Comput. Syst. 160: 890-900 (2024) - [j81]Peng Tang, Tao Ruan, Hao Wu, Xin Luo:
Temporal pattern-aware QoS prediction by Biased Non-negative Tucker Factorization of tensors. Neurocomputing 582: 127447 (2024) - [j80]Yu Wang, Zhiyi Zhang, Peng Tang, Shiyao Bian:
A Model for Predicting Physical Health of College Students Based on Semantic Web and Deep Learning Under Cloud Edge Collaborative Architecture. Int. J. Semantic Web Inf. Syst. 20(1): 1-19 (2024) - [j79]Beibei Yu, Cheng Xie, Hongming Cai, Haoran Duan, Peng Tang:
Meta-path and hypergraph fused distillation framework for heterogeneous information networks embedding. Inf. Sci. 667: 120453 (2024) - [j78]Peng Tang, Cheng Xie, Haoran Duan:
Node and edge dual-masked self-supervised graph representation. Knowl. Inf. Syst. 66(4): 2307-2326 (2024) - [j77]Zhaoxing Han, Chengyu Hu, Tongyaqi Li, Qingqiang Qi, Peng Tang, Shanqing Guo:
Subgraph-level federated graph neural network for privacy-preserving recommendation with meta-learning. Neural Networks 179: 106574 (2024) - [j76]Peng Tang, Xintong Yan, Yang Nan, Xiaobin Hu, Bjoern H. Menze, Sebastian Krammer, Tobias Lasser:
Joint-individual fusion structure with fusion attention module for multi-modal skin cancer classification. Pattern Recognit. 154: 110604 (2024) - [j75]Maomao Zhang, Peng Tang, Guofeng Wei, Xue Ni, Guoru Ding, Huali Wang:
Open Set Domain Adaptation for Automatic Modulation Classification in Dynamic Communication Environments. IEEE Trans. Cogn. Commun. Netw. 10(3): 852-865 (2024) - [j74]Peng Tang, Zhiguo Zhao, Haodi Li:
Short-Term Prediction Method of Transient Temperature Field Variation for PMSM in Electric Drive Gearbox Using Spatial-Temporal Relational Graph Convolutional Thermal Neural Network. IEEE Trans. Ind. Electron. 71(7): 7839-7852 (2024) - [j73]Guowei Ling, Fei Tang, Chaochao Cai, Jinyong Shan, Haiyang Xue, Wulu Li, Peng Tang, Xinyi Huang, Weidong Qiu:
P²FRPSI: Privacy-Preserving Feature Retrieved Private Set Intersection. IEEE Trans. Inf. Forensics Secur. 19: 2201-2216 (2024) - [j72]Peng Tang, Guoru Ding, Yitao Xu, Yutao Jiao, Yehui Song, Guofeng Wei:
Causal Learning for Robust Specific Emitter Identification Over Unknown Channel Statistics. IEEE Trans. Inf. Forensics Secur. 19: 5316-5329 (2024) - [j71]Shao Xiang, Qiaokang Liang, Peng Tang:
Task-Oriented Compression Framework for Remote Sensing Satellite Data Transmission. IEEE Trans. Ind. Informatics 20(3): 3487-3496 (2024) - [j70]Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang:
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7391-7404 (2024) - [c73]Srikar Appalaraju, Peng Tang, Qi Dong, Nishant Sankaran, Yichu Zhou, R. Manmatha:
DocFormerv2: Local Features for Document Understanding. AAAI 2024: 709-718 - [c72]Peng Tang, Zhiqiang Xu, Chunlai Zhou, Pengfei Wei, Peng Han, Xin Cao, Tobias Lasser:
Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring. AAAI 2024: 5145-5153 - [c71]Tianyang Zhao, Kunwar Yashraj Singh, Srikar Appalaraju, Peng Tang, Vijay Mahadevan, R. Manmatha, Ying Nian Wu:
No Head Left Behind - Multi-Head Alignment Distillation for Transformers. AAAI 2024: 7514-7524 - [c70]Haozhang Li, Yangde Wang, Weidong Qiu, Shujun Li, Peng Tang:
PassTSL: Modeling Human-Created Passwords Through Two-Stage Learning. ACISP (3) 2024: 404-423 - [c69]Peng Tang, Lifan Wang, Weidong Qiu, Zheng Huang, Qiangmin Wang:
Fuzzy Clustered Federated Learning Under Mixed Data Distributions. AAMAS 2024: 2501-2503 - [c68]Zhuowan Li, Bhavan Jasani, Peng Tang, Shabnam Ghadar:
Synthesize Step-by-Step: Tools, Templates and LLMs as Data Generators for Reasoning-Based Chart VQA. CVPR 2024: 13613-13623 - [c67]Shuaiwen Yu, Zhibing Sha, Chengyong Tang, Zhigang Cai, Peng Tang, Min Huang, Jun Li, Jianwei Liao:
Adaptive DRAM Cache Division for Computational Solid-state Drives. DATE 2024: 1-6 - [c66]Yukun Yan, Peng Tang, Rui Chen, Qilong Han, Ruochen Du:
DPC: Filtering Out Patch-Based Poisoned Samples with Differential Privacy. ESORICS (2) 2024: 289-309 - [c65]Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song:
SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation. ICDE 2024: 803-815 - [c64]Ke Hu, Liyao Xiang, Peng Tang, Weidong Qiu:
Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains. IJCAI 2024: 4136-4146 - [c63]Yubin Zheng, Peng Tang, Tianjie Ju, Weidong Qiu, Bo Yan:
Fine-Grained Contrastive Learning for Pulmonary Nodule Classification. IJCNN 2024: 1-8 - [c62]Xiaofeng Hou, Peng Tang, Tongqiao Xu, Cheng Xu, Chao Li, Minyi Guo:
CPM: A Cross-layer Power Management Facility to Enable QoS-Aware AIoT Systems. IWQoS 2024: 1-10 - [c61]Peng Tang, Srikar Appalaraju, R. Manmatha, Yusheng Xie, Vijay Mahadevan:
Multiple-Question Multiple-Answer Text-VQA. NAACL (Industry Track) 2024: 73-88 - [c60]Peng Tang, Pengkai Zhu, Tian Li, Srikar Appalaraju, Vijay Mahadevan, R. Manmatha:
DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models. NAACL-HLT (Findings) 2024: 116-131 - [i36]Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song:
SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation. CoRR abs/2403.04278 (2024) - [i35]Yubin Zheng, Peng Tang, Tianjie Ju, Weidong Qiu, Bo Yan:
Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency. CoRR abs/2403.12695 (2024) - [i34]Zhuowan Li, Bhavan Jasani, Peng Tang, Shabnam Ghadar:
Synthesize Step-by-Step: Tools, Templates and LLMs as Data Generators for Reasoning-Based Chart VQA. CoRR abs/2403.16385 (2024) - [i33]Peng Tang, Tobias Lasser:
Single-Shared Network with Prior-Inspired Loss for Parameter-Efficient Multi-Modal Imaging Skin Lesion Classification. CoRR abs/2403.19203 (2024) - [i32]Peng Tang, Tobias Lasser:
Pay Less On Clinical Images: Asymmetric Multi-Modal Fusion Method For Efficient Multi-Label Skin Lesion Classification. CoRR abs/2407.09999 (2024) - [i31]Yangde Wang, Haozhang Li, Weidong Qiu, Shujun Li, Peng Tang:
PassTSL: Modeling Human-Created Passwords through Two-Stage Learning. CoRR abs/2407.14145 (2024) - [i30]Wei Zhang, Peng Tang:
Enhanced Traffic Flow Prediction with Multi-Segment Fusion Tensor Graph Convolutional Networks. CoRR abs/2408.04232 (2024) - [i29]Peng Yuan, Peng Tang:
MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure. CoRR abs/2408.04845 (2024) - [i28]Xin Liao, Qicong Hu, Peng Tang:
An Adaptive Latent Factorization of Tensors Model for Embedding Dynamic Communication Network. CoRR abs/2408.16573 (2024) - 2023
- [j69]Lijun Wang, Linshu Hu, Chenhua Fu, Yuhan Yu, Peng Tang, Feng Zhang, Renyi Liu:
SLBRIN: A Spatial Learned Index Based on BRIN. ISPRS Int. J. Geo Inf. 12(4): 171 (2023) - [j68]Shao Xiang, Mi Wang, Jing Xiao, Guangqi Xie, Zhiqi Zhang, Peng Tang:
Cloud Coverage Estimation Network for Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j67]Beibei Yu, Cheng Xie, Peng Tang, Haoran Duan:
Multi-view graph representation with similarity diffusion for general zero-shot learning. Neural Networks 166: 38-50 (2023) - [j66]Haoran Duan, Cheng Xie, Bin Li, Peng Tang:
Self-supervised contrastive graph representation with node and graph augmentation. Neural Networks 167: 223-232 (2023) - [j65]Beibei Yu, Cheng Xie, Peng Tang, Bin Li:
Semantic-visual shared knowledge graph for zero-shot learning. PeerJ Comput. Sci. 9: e1260 (2023) - [j64]Ijazul Haq, Weidong Qiu, Jie Guo, Peng Tang:
Pashto offensive language detection: a benchmark dataset and monolingual Pashto BERT. PeerJ Comput. Sci. 9: e1617 (2023) - [j63]Ijazul Haq, Weidong Qiu, Jie Guo, Peng Tang:
Correction of whitespace and word segmentation in noisy Pashto text using CRF. Speech Commun. 153: 102970 (2023) - [j62]Fei Tang, Guowei Ling, Chaochao Cai, Jinyong Shan, Xuanqi Liu, Peng Tang, Weidong Qiu:
Solving Small Exponential ECDLP in EC-Based Additively Homomorphic Encryption and Applications. IEEE Trans. Inf. Forensics Secur. 18: 3517-3530 (2023) - [j61]Peng Tang, Kaixiang Peng, Zhiwen Chen, Jie Dong:
A Novel Distributed CVRAE-Based Spatio-Temporal Process Monitoring Method With Its Application. IEEE Trans. Ind. Informatics 19(11): 10987-10997 (2023) - [j60]Peng Tang, Rui Chen, Sen Su, Shanqing Guo, Lei Ju, Gaoyuan Liu:
Multi-Party Sequential Data Publishing Under Differential Privacy. IEEE Trans. Knowl. Data Eng. 35(9): 9562-9577 (2023) - [c59]Qiao Deng, Zhiwen Chen, Peng Tang, Tao Peng, Chunhua Yang:
Performance Monitoring and Trend Visualization of Chillers Based on Principal Component Analysis and Its Application. SAFEPROCESS 2023: 1-6 - [c58]Shichen Wu, Zhiying Song, Puwen Wei, Peng Tang, Quan Yuan:
Improving Privacy of Anonymous Proof-of-Stake Protocols. CANS 2023: 368-391 - [c57]Huina Li, Guozhen Liu, Haochen Zhang, Peng Tang, Weidong Qiu:
Automatic Search of Linear Structure: Applications to Keccak and Ascon. Inscrypt (2) 2023: 172-192 - [c56]Jingqi Yang, Cheng Xie, Peng Tang:
Discriminative Feature Focus via Masked Autoencoder for Zero-Shot Learning. CSCWD 2023: 417-422 - [c55]Yubin Zheng, Peng Tang, Weidong Qiu, Hao Wang, Jie Guo, Zheng Huang:
A Novel Deep Learning Framework for Interpretable Drug-Target Interaction Prediction with Attention and Multi-task Mechanism. DASFAA (4) 2023: 336-352 - [c54]Gaoyuan Liu, Peng Tang, Chengyu Hu, Chongshi Jin, Shanqing Guo:
Multi-Dimensional Data Publishing With Local Differential Privacy. EDBT 2023: 183-194 - [c53]Ning Wang, Yaohua Wang, Zhigang Wang, Jie Nie, Zhiqiang Wei, Peng Tang, Yu Gu, Ge Yu:
PrivNUD: Effective Range Query Processing under Local Differential Privacy. ICDE 2023: 2660-2672 - [c52]Cheng Xu, Xiaofeng Hou, Jiacheng Liu, Chao Li, Tianhao Huang, Xiaozhi Zhu, Mo Niu, Lingyu Sun, Peng Tang, Tongqiao Xu, Kwang-Ting Cheng, Minyi Guo:
MMBench: Benchmarking End-to-End Multi-modal DNNs and Understanding Their Hardware-Software Implications. IISWC 2023: 154-166 - [c51]Xiaofeng Hou, Peng Tang, Chao Li, Jiacheng Liu, Cheng Xu, Kwang-Ting Cheng, Minyi Guo:
SMG: A System-Level Modality Gating Facility for Fast and Energy-Efficient Multimodal Computing. RTSS 2023: 291-303 - [i27]Yunruo Zhang, Tianyu Du, Shouling Ji, Peng Tang, Shanqing Guo:
RNN-Guard: Certified Robustness Against Multi-frame Attacks for Recurrent Neural Networks. CoRR abs/2304.07980 (2023) - [i26]Srikar Appalaraju, Peng Tang, Qi Dong, Nishant Sankaran, Yichu Zhou, R. Manmatha:
DocFormerv2: Local Features for Document Understanding. CoRR abs/2306.01733 (2023) - [i25]Peng Tang, Yang Nan, Tobias Lasser:
Graph-Ensemble Learning Model for Multi-label Skin Lesion Classification using Dermoscopy and Clinical Images. CoRR abs/2307.01704 (2023) - [i24]Peng Tang, Zhiqiang Xu, Pengfei Wei, Xiaobin Hu, Peilin Zhao, Xin Cao, Chunlai Zhou, Tobias Lasser:
SR-R2KAC: Improving Single Image Defocus Deblurring. CoRR abs/2307.16242 (2023) - [i23]Peng Tang, Srikar Appalaraju, R. Manmatha, Yusheng Xie, Vijay Mahadevan:
Multiple-Question Multiple-Answer Text-VQA. CoRR abs/2311.08622 (2023) - [i22]Peng Tang, Pengkai Zhu, Tian Li, Srikar Appalaraju, Vijay Mahadevan, R. Manmatha:
DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models. CoRR abs/2311.08623 (2023) - [i21]Peng Tang, Xintong Yan, Yang Nan, Xiaobin Hu, Bjoern H. Menze, Sebastian Krammer, Tobias Lasser:
Joint-Individual Fusion Structure with Fusion Attention Module for Multi-Modal Skin Cancer Classification. CoRR abs/2312.04189 (2023) - [i20]Ke Hu, Weidong Qiu, Peng Tang:
Feature Norm Regularized Federated Learning: Transforming Skewed Distributions into Global Insights. CoRR abs/2312.06951 (2023) - [i19]Shichen Wu, Zhiying Song, Puwen Wei, Peng Tang, Quan Yuan:
Improving Privacy of Anonymous Proof-of-Stake Protocols. IACR Cryptol. ePrint Arch. 2023: 1386 (2023) - 2022
- [j59]Yongtao Yu, Tao Jiang, Junyong Gao, Haiyan Guan, Dilong Li, Shangbing Gao, E. Tang, Wenhao Wang, Peng Tang, Jonathan Li:
CapViT: Cross-context capsule vision transformers for land cover classification with airborne multispectral LiDAR data. Int. J. Appl. Earth Obs. Geoinformation 111: 102837 (2022) - [j58]Yongtao Yu, Long Huang, Weibin Lu, Haiyan Guan, Lingfei Ma, Shenghua Jin, Changhui Yu, Yongjun Zhang, Peng Tang, Zuojun Liu, Wenhao Wang, Jonathan Li:
WaterHRNet: A multibranch hierarchical attentive network for water body extraction with remote sensing images. Int. J. Appl. Earth Obs. Geoinformation 115: 103103 (2022) - [j57]Ning Wang, Wei Zheng, Zhigang Wang, Zhiqiang Wei, Yu Gu, Peng Tang, Ge Yu:
Collecting and analyzing key-value data under shuffled differential privacy. Frontiers Comput. Sci. 17(2): 172606 (2022) - [j56]Peng Tang, Kaixiang Peng, Ruihua Jiao:
A process monitoring and fault isolation framework based on variational autoencoders and branch and bound method. J. Frankl. Inst. 359(2): 1667-1691 (2022) - [j55]Xiaofan Jiang, Shao Xiang, Mi Wang, Peng Tang:
Dual-Pathway Change Detection Network Based on the Adaptive Fusion Module. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j54]Peng Tang, Xintong Yan, Yang Nan, Shao Xiang, Sebastian Krammer, Tobias Lasser:
FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification. Medical Image Anal. 76: 102307 (2022) - [j53]Yang Nan, Fengyi Li, Peng Tang, Guyue Zhang, Caihong Zeng, Guotong Xie, Zhihong Liu, Guang Yang:
Automatic fine-grained glomerular lesion recognition in kidney pathology. Pattern Recognit. 127: 108648 (2022) - [j52]Haodi Li, Zhiguo Zhao, Peng Tang:
Load Emulation Compensation Control of a Test Bench Based on Rigid-Flexible Coupling Transmission for a Vehicle Electric Drive System. IEEE Trans. Instrum. Meas. 71: 1-16 (2022) - [j51]Yangyang Bao, Weidong Qiu, Peng Tang, Xiaochun Cheng:
Efficient, Revocable, and Privacy-Preserving Fine-Grained Data Sharing With Keyword Search for the Cloud-Assisted Medical IoT System. IEEE J. Biomed. Health Informatics 26(5): 2041-2051 (2022) - [j50]Yang Nan, Peng Tang, Guyue Zhang, Caihong Zeng, Zhihong Liu, Zhifan Gao, Heye Zhang, Guang Yang:
Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network. IEEE Trans. Medical Imaging 41(12): 3799-3811 (2022) - [c50]Ge Han, Zheng Li, Peng Tang, Chengyu Hu, Shanqing Guo:
FuzzGAN: A Generation-Based Fuzzing Framework for Testing Deep Neural Networks. HPCC/DSS/SmartCity/DependSys 2022: 1601-1608 - [c49]Peng Tang, Cheng Xie, Beibei Yu:
None-Negative Graph Contrastive Learning for Knowledge-Driven Zero-Shot Learning. ICEBE 2022: 106-111 - [c48]Peng Tang, Rui Chen, Chongshi Jin, Gaoyuan Liu, Shanqing Guo:
Marginal Release Under Multi-party Personalized Differential Privacy. ECML/PKDD (4) 2022: 555-571 - [c47]Liming Jiang, Yang Li, Shaomiao Chen, Youfu Jiang, Peng Tang:
Station-level Demand Prediction for Bike-sharing Based on Multi-spatio-temporal Scale Features. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1625-1630 - [i18]Yang Nan, Fengyi Li, Peng Tang, Guyue Zhang, Caihong Zeng, Guotong Xie, Zhihong Liu, Guang Yang:
Automatic Fine-grained Glomerular Lesion Recognition in Kidney Pathology. CoRR abs/2203.05847 (2022) - [i17]Yang Nan, Peng Tang, Guyue Zhang, Caihong Zeng, Zhihong Liu, Zhifan Gao, Heye Zhang, Guang Yang:
Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network. CoRR abs/2208.02912 (2022) - [i16]Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang:
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. CoRR abs/2209.02048 (2022) - [i15]Fei Tang, Guowei Ling, Chaochao Cai, Jinyong Shan, Xuanqi Liu, Peng Tang, Weidong Qiu:
Solving Small Exponential ECDLP in EC-based Additively Homomorphic Encryption and Applications. IACR Cryptol. ePrint Arch. 2022: 1573 (2022) - 2021
- [j49]Peng Tang, Xintong Yan, Qiaokang Liang, Dan Zhang:
AFLN-DGCL: Adaptive Feature Learning Network with Difficulty-Guided Curriculum Learning for skin lesion segmentation. Appl. Soft Comput. 110: 107656 (2021) - [j48]Peng Tang, Jingtao Xu, Wei Liu, Yu Li, Wei Fan, Xiaoliang Huang:
Study of the Feasibility of Conventional MR Images and Magnetic Resonance (MR)/Ultra-Short Echo Time (UTE) Technique in the Evaluation of Lumbar Disc Degeneration in the Axial Plane. J. Medical Imaging Health Informatics 11(3): 817-821 (2021) - [j47]Shao Xiang, Mi Wang, Xiaofan Jiang, Guangqi Xie, Zhiqi Zhang, Peng Tang:
Dual-Task Semantic Change Detection for Remote Sensing Images Using the Generative Change Field Module. Remote. Sens. 13(16): 3336 (2021) - [j46]Peng Tang, Xiang Cheng, Sen Su, Rui Chen, Huaxi Shao:
Differentially Private Publication of Vertically Partitioned Data. IEEE Trans. Dependable Secur. Comput. 18(2): 780-795 (2021) - [j45]Yan Wang, Peng Tang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. IEEE Trans. Medical Imaging 40(10): 2723-2735 (2021) - [c46]Peng Tang, Rui Chen, Sen Su, Shanqing Guo, Lei Ju, Gaoyuan Liu:
Differentially Private Publication of Multi-Party Sequential Data. ICDE 2021: 145-156 - [c45]Hao Li, Shanqing Guo, Peng Tang, Chengyu Hu, Zhenxiang Chen:
TranFuzz: An Ensemble Black-Box Attack Framework Based on Domain Adaptation and Fuzzing. ICICS (1) 2021: 260-275 - [c44]Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie:
Shape-Texture Debiased Neural Network Training. ICLR 2021 - [c43]Zhijun Zhang, Weidong Jin, Peng Tang:
Recognition Network of Catenary Dropper State based on Memory-enhanced Convolutional Autoencoder. ICSPCC 2021: 1-6 - [c42]Peng Tang, Chetan Ramaiah, Yan Wang, Ran Xu, Caiming Xiong:
Proposal Learning for Semi-Supervised Object Detection. WACV 2021: 2290-2300 - [i14]Yan Wang, Peng Tang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. CoRR abs/2105.14773 (2021) - 2020
- [j44]Peng Tang, Kaixiang Peng, Jie Dong, Kai Zhang, Shanshan Zhao:
Monitoring of Nonlinear Processes With Multiple Operating Modes Through a Novel Gaussian Mixture Variational Autoencoder Model. IEEE Access 8: 114487-114500 (2020) - [j43]Huijuan Lian, Weidong Qiu, Di Yan, Jie Guo, Zhe Li, Peng Tang:
Privacy-preserving spatial query protocol based on the Moore curve for location-based service. Comput. Secur. 96: 101845 (2020) - [j42]Peng Tang, Yu Wang, Ning Shen:
Prediction of college students' physical fitness based on K-means clustering and SVR. Comput. Syst. Sci. Eng. 35(4) (2020) - [j41]Peng Tang, Weidong Qiu, Zheng Huang, Shuang Chen, Min Yan, Huijuan Lian, Zhe Li:
Anomaly detection in electronic invoice systems based on machine learning. Inf. Sci. 535: 172-186 (2020) - [j40]Peng Tang, Weidong Qiu, Zheng Huang, Huijuan Lian, Guozhen Liu:
Detection of SQL injection based on artificial neural network. Knowl. Based Syst. 190: 105528 (2020) - [j39]Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan L. Yuille:
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 176-191 (2020) - [j38]Peng Tang, Chunyu Wang, Xinggang Wang, Wenyu Liu, Wenjun Zeng, Jingdong Wang:
Object Detection in Videos by High Quality Object Linking. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1272-1278 (2020) - [j37]Huijuan Lian, Weidong Qiu, Di Yan, Zheng Huang, Peng Tang:
Efficient and secure k-nearest neighbor query on outsourced data. Peer-to-Peer Netw. Appl. 13(6): 2324-2333 (2020) - [j36]Peng Tang, Qiaokang Liang, Xintong Yan, Shao Xiang, Dan Zhang:
GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification. IEEE J. Biomed. Health Informatics 24(10): 2870-2882 (2020) - [j35]Xiang Cheng, Peng Tang, Sen Su, Rui Chen, Zequn Wu, Binyuan Zhu:
Multi-Party High-Dimensional Data Publishing Under Differential Privacy. IEEE Trans. Knowl. Data Eng. 32(8): 1557-1571 (2020) - [c41]Jingwen Lu, Peng Tang, Weidong Qiu, Hao Wang, Jie Guo:
Effectiveness Analysis of Traditional Chinese Medicine for Anti-Alzheimer's Disease Based on Machine Learning. SocialSec 2020: 203-214 - [i13]Peng Tang, Chetan Ramaiah, Ran Xu, Caiming Xiong:
Proposal Learning for Semi-Supervised Object Detection. CoRR abs/2001.05086 (2020) - [i12]Zhenfang Chen, Lin Ma, Wenhan Luo, Peng Tang, Kwan-Yee K. Wong:
Look Closer to Ground Better: Weakly-Supervised Temporal Grounding of Sentence in Video. CoRR abs/2001.09308 (2020) - [i11]Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie:
Shape-Texture Debiased Neural Network Training. CoRR abs/2010.05981 (2020)
2010 – 2019
- 2019
- [j34]Peng Tang, Qiaokang Liang, Xintong Yan, Dan Zhang, Gianmarc Coppola, Wei Sun:
Multi-proportion channel ensemble model for retinal vessel segmentation. Comput. Biol. Medicine 111 (2019) - [j33]Peng Tang, Qiaokang Liang, Xintong Yan, Shao Xiang, Wei Sun, Dan Zhang, Gianmarc Coppola:
Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging. Comput. Methods Programs Biomed. 178: 289-301 (2019) - [j32]Hao Hua, Ludger Hovestadt, Peng Tang, Biao Li:
Integer programming for urban design. Eur. J. Oper. Res. 274(3): 1125-1137 (2019) - [j31]Binbin Huang, Zhongjin Li, Peng Tang, Shangguang Wang, Jun Zhao, Haiyang Hu, Wanqing Li, Victor I. Chang:
Security modeling and efficient computation offloading for service workflow in mobile edge computing. Future Gener. Comput. Syst. 97: 755-774 (2019) - [j30]Peng Tang, Fei Wang, Yuehong Dai:
Controller Design for Different Electric Tail Rotor Operating Modes in Helicopters. Int. J. Pattern Recognit. Artif. Intell. 33(8): 1959022:1-1959022:20 (2019) - [j29]Xinggang Wang, Yongluan Yan, Peng Tang, Wenyu Liu, Xiaojie Guo:
Bag similarity network for deep multi-instance learning. Inf. Sci. 504: 578-588 (2019) - [j28]Xinggang Wang, Jiasi Wang, Peng Tang, Wenyu Liu:
Weakly- and Semi-Supervised Fast Region-Based CNN for Object Detection. J. Comput. Sci. Technol. 34(6): 1269-1278 (2019) - [j27]Peng Tang, Xinggang Wang, Baoguang Shi, Xiang Bai, Wenyu Liu, Zhuowen Tu:
Deep FisherNet for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2244-2250 (2019) - [j26]Tao Deng, Zhenhua Su, Junying Li, Peng Tang, Xing Chen, Ping Liu:
Advanced Angle Field Weakening Control Strategy of Permanent Magnet Synchronous Motor. IEEE Trans. Veh. Technol. 68(4): 3424-3435 (2019) - [c40]Hongru Zhu, Peng Tang, Alan L. Yuille, Soojin Park, Jeongho Park:
Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models. CogSci 2019: 3213-3219 - [c39]Song Bai, Peng Tang, Philip H. S. Torr, Longin Jan Latecki:
Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification. CVPR 2019: 740-749 - [c38]Huijuan Lian, Weidong Qiu, Di Yan, Zheng Huang, Peng Tang:
Privacy-Preserving Location-Based Query Over Encrypted Data in Outsourced Environment. DSC 2019: 84-91 - [c37]Peng Tang, Weidong Qiu, Min Yan, Zheng Huang, Shuang Chen, Huijuan Lian:
Association Analysis of Abnormal Behavior of Electronic Invoice Based on K-Means and Skip-Gram. DSC 2019: 300-305 - [c36]Shuang Chen, Weidong Qiu, Peng Tang, Guorui Duan, Min Yan, Zheng Huang:
Research on Abnormal Behavior of Electronic Invoice Based on Artificial Neural Network. DSC 2019: 306-311 - [c35]Yuyin Zhou, Yan Wang, Peng Tang, Song Bai, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training. WACV 2019: 121-140 - [i10]Hongru Zhu, Peng Tang, Alan L. Yuille:
Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models. CoRR abs/1905.04598 (2019) - [i9]Binbin Huang, Zhongjin Li, Peng Tang, Shangguang Wang, Jun Zhao, Haiyang Hu, Wanqing Li, Victor I. Chang:
Security modeling and efficient computation offloading for service workflow in mobile edge computing. CoRR abs/1907.02506 (2019) - 2018
- [j25]Yanhua Hu, Peng Tang, Weidong Jin, Zhengwei He:
铁路视频序列的FOE的估计 (Estimation of FOE for Railway Video Sequences). 计算机科学 45(7): 226-229 (2018) - [j24]Zhenzhen Cai, Peng Tang, Jianbin Hu, Weidong Jin:
深度卷积神经网络实现硬性渗出的自动检测 (Auto-detection of Hard Exudates Based on Deep Convolutional Neural Network). 计算机科学 45(11A): 203-207 (2018) - [j23]Xinggang Wang, Yongluan Yan, Peng Tang, Xiang Bai, Wenyu Liu:
Revisiting multiple instance neural networks. Pattern Recognit. 74: 15-24 (2018) - [c34]Peng Tang, Weidong Qiu, Zheng Huang, Huijuan Lian, Guozhen Liu:
SQL Injection Behavior Mining Based Deep Learning. ADMA 2018: 445-454 - [c33]Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang, Alan L. Yuille:
Weakly Supervised Region Proposal Network and Object Detection. ECCV (11) 2018: 370-386 - [c32]Gangming Zhao, Zhaoxiang Zhang, He Guan, Peng Tang, Jingdong Wang:
Rethinking ReLU to Train Better CNNs. ICPR 2018: 603-608 - [c31]Yan Wang, Yuyin Zhou, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound. MICCAI (4) 2018: 434-442 - [i8]Peng Tang, Chunyu Wang, Xinggang Wang, Wenyu Liu, Wenjun Zeng, Jingdong Wang:
Object Detection in Videos by Short and Long Range Object Linking. CoRR abs/1801.09823 (2018) - [i7]Yuyin Zhou, Yan Wang, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Semi-supervised multi-organ segmentation via multi-planar co-training. CoRR abs/1804.02586 (2018) - [i6]Yan Wang, Yuyin Zhou, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound. CoRR abs/1804.02595 (2018) - [i5]Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan L. Yuille:
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. CoRR abs/1807.03342 (2018) - 2017
- [j22]Dan Wang, Junfeng Wang, Yihua Du, Peng Tang:
Adaptive Solitary Pulmonary Nodule Segmentation for Digital Radiography Images Based on Random Walks and Sequential Filter. IEEE Access 5: 1460-1468 (2017) - [j21]Damian M. Lyons, Ronald C. Arkin, Shu D. Jiang, Matthew Joseph O'Brien, Feng Tang, Peng Tang:
Establishing A-Priori Performance Guarantees for Robot Missions that Include Localization Software. Int. J. Monit. Surveillance Technol. Res. 5(1): 49-70 (2017) - [j20]Jingfeng Wu, Weidong Jin, Peng Tang:
数据异常的监测技术综述 (Survey on Monitoring Techniques for Data Abnormalities). 计算机科学 44(Z11): 24-28 (2017) - [j19]Peng Tang, Jin Zhang, Xinggang Wang, Bin Feng, Fabio Roli, Wenyu Liu:
Learning extremely shared middle-level image representation for scene classification. Knowl. Inf. Syst. 52(2): 509-530 (2017) - [j18]Peng Tang, Xinggang Wang, Zilong Huang, Xiang Bai, Wenyu Liu:
Deep patch learning for weakly supervised object classification and discovery. Pattern Recognit. 71: 446-459 (2017) - [j17]Damian M. Lyons, Ronald C. Arkin, Shu D. Jiang, Matthew Joseph O'Brien, Feng Tang, Peng Tang:
Performance verification for robot missions in uncertain environments. Robotics Auton. Syst. 98: 89-104 (2017) - [j16]Mingbo Zhao, Tommy W. S. Chow, Peng Tang, Zengfu Wang, Jun Guo, Moshe Zukerman:
Route Selection for Cabling Considering Cost Minimization and Earthquake Survivability Via a Semi-Supervised Probabilistic Model. IEEE Trans. Ind. Informatics 13(2): 502-511 (2017) - [j15]Peng Tang, Xinggang Wang, Bin Feng, Wenyu Liu:
Learning Multi-Instance Deep Discriminative Patterns for Image Classification. IEEE Trans. Image Process. 26(7): 3385-3396 (2017) - [c30]Peng Tang, Xinggang Wang, Xiang Bai, Wenyu Liu:
Multiple Instance Detection Network with Online Instance Classifier Refinement. CVPR 2017: 3059-3067 - [c29]Peng Tang, Weidong Jin:
Railway running smoothness monitoring based on visual motion parallax. ROBIO 2017: 2407-2412 - [i4]Peng Tang, Xinggang Wang, Xiang Bai, Wenyu Liu:
Multiple Instance Detection Network with Online Instance Classifier Refinement. CoRR abs/1704.00138 (2017) - [i3]Peng Tang, Xinggang Wang, Zilong Huang, Xiang Bai, Wenyu Liu:
Deep Patch Learning for Weakly Supervised Object Classification and Discovery. CoRR abs/1705.02429 (2017) - 2016
- [j14]Peng Tang, Ming-Bo Zhao, Tommy W. S. Chow:
Locality Alignment Discriminant Analysis for Visualizing Regional English. Neural Process. Lett. 43(1): 295-307 (2016) - [j13]Peng Tang, Tommy W. S. Chow:
Wireless Sensor-Networks Conditions Monitoring and Fault Diagnosis Using Neighborhood Hidden Conditional Random Field. IEEE Trans. Ind. Informatics 12(3): 933-940 (2016) - [c28]Peng Tang, Weidong Jin:
Automatic Image Semantic Segmentation by MRF with Transformation-Invariant Shape Priors. AsiaSim/SCS AutumnSim (1) 2016: 216-226 - [c27]Peng Tang, Anping Song, Zhixiang Liu, Wu Zhang:
An Implementation and Optimization of Lattice Boltzmann Method Based on the Multi-Node CPU+MIC Heterogeneous Architecture. CyberC 2016: 315-320 - [c26]Sen Su, Peng Tang, Xiang Cheng, Rui Chen, Zequn Wu:
Differentially private multi-party high-dimensional data publishing. ICDE 2016: 205-216 - [c25]Damian M. Lyons, Ronald C. Arkin, Shu D. Jiang, Matthew Joseph O'Brien, Feng Tang, Peng Tang:
Formal Performance Guarantees for Behavior-Based Localization Missions. ICTAI 2016: 98-105 - [c24]Jia Feng, Peng Tang, Bin Feng, Wenyu Liu:
Latent information mining for semi-supervised sentiment classification in catering reviews. WCSP 2016: 1-5 - [i2]Peng Tang, Xinggang Wang, Baoguang Shi, Xiang Bai, Wenyu Liu, Zhuowen Tu:
Deep FisherNet for Object Classification. CoRR abs/1608.00182 (2016) - [i1]Xinggang Wang, Yongluan Yan, Peng Tang, Xiang Bai, Wenyu Liu:
Revisiting Multiple Instance Neural Networks. CoRR abs/1610.02501 (2016) - 2015
- [b1]Peng Tang:
Handwriting recognition and retrieval for chemical structural formulas. Nanyang Technological University, Singapore, 2015 - [j12]Xiang Cheng, Sen Su, Shengzhi Xu, Peng Tang, Zhengyi Li:
Differentially private maximal frequent sequence mining. Comput. Secur. 55: 175-192 (2015) - [j11]Peng Tang, Siu Cheung Hui, Alvis Cheuk M. Fong:
A lattice-based approach for chemical structural retrieval. Eng. Appl. Artif. Intell. 39: 215-222 (2015) - [j10]Zhao Zhang, Ming-Bo Zhao, Bing Li, Peng Tang, Fanzhang Li:
Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images. Neurocomputing 149: 1058-1073 (2015) - [j9]Ming-Bo Zhao, Choujun Zhan, Zhou Wu, Peng Tang:
Semi-Supervised Image Classification Based on Local and Global Regression. IEEE Signal Process. Lett. 22(10): 1666-1670 (2015) - [c23]Sen Su, Han Yan, Xiang Cheng, Peng Tang, Peng Xu, Jianliang Xu:
Authentication of Top-k Spatial Keyword Queries in Outsourced Databases. DASFAA (1) 2015: 567-588 - [c22]Damian M. Lyons, Ronald C. Arkin, Shu D. Jiang, Dagan Harrington, Feng Tang, Peng Tang:
Probabilistic Verification of Multi-robot Missions in Uncertain Environments. ICTAI 2015: 56-63 - [c21]Peng Tang, Tommy W. S. Chow:
Wireless sensor network faulty scenes diagnosis using high dimensional Neighborhood Hidden Conditional Random Field. INDIN 2015: 1130-1135 - [c20]Peng Tang, Bin Feng, Xinggang Wang, Bi Li, Sihua Yi, Wenyu Liu:
Fisher vector with weakly-supervised Gaussian dictionary for scene classification. WCSP 2015: 1-5 - 2014
- [j8]Peng Tang, Tommy W. S. Chow:
Mining language variation using word using and collocation characteristics. Expert Syst. Appl. 41(17): 7805-7819 (2014) - [j7]Bing Li, Tommy W. S. Chow, Peng Tang:
Analyzing rough set based attribute reductions by extension rule. Neurocomputing 123: 185-196 (2014) - [j6]Peng Tang, Ming-Bo Zhao, Tommy W. S. Chow:
Text style analysis using trace ratio criterion patch alignment embedding. Neurocomputing 136: 201-212 (2014) - [j5]Ming-Bo Zhao, Rosa H. M. Chan, Tommy W. S. Chow, Peng Tang:
Compact Graph based Semi-Supervised Learning for Medical Diagnosis in Alzheimer's Disease. IEEE Signal Process. Lett. 21(10): 1192-1196 (2014) - [c19]Peng Tang, Siu Cheung Hui, Chi-Wing Fu:
Connected Bond Recognition for Handwritten Chemical Skeletal Structural Formulas. ICFHR 2014: 122-127 - [c18]Peng Tang, Weidong Jin, Liang Chen:
Visual abnormality detection framework for train-mounted pantograph headline surveillance. ITSC 2014: 847-852 - [c17]Peng Tang, Siu Cheung Hui, Chi-Wing Fu:
Chemical Symbol Feature Set for Handwritten Chemical Symbol Recognition. S+SSPR 2014: 312-322 - 2013
- [j4]Peng Tang, Tommy W. S. Chow:
Recognition of word collocation habits using frequency rank ratio and inter-term intimacy. Expert Syst. Appl. 40(11): 4301-4314 (2013) - [j3]Ming-Bo Zhao, Rosa H. M. Chan, Peng Tang, Tommy W. S. Chow, Savio W. H. Wong:
Trace Ratio Linear Discriminant Analysis for Medical Diagnosis: A Case Study of Dementia. IEEE Signal Process. Lett. 20(5): 431-434 (2013) - [c16]Peng Tang, Siu Cheung Hui, Chi-Wing Fu:
Online chemical symbol recognition for handwritten chemical expression recognition. ICIS 2013: 535-540 - [c15]Peng Tang, Siu Cheung Hui, Chi-Wing Fu:
A Progressive Structural Analysis Approach for Handwritten Chemical Formula Recognition. ICDAR 2013: 359-363 - [c14]Zhao Zhang, Ming-Bo Zhao, Bing Li, Peng Tang:
ColorPCA: Color principal feature extraction technique for color image reconstruction and recognition. IJCNN 2013: 1-7 - [c13]Christos Alexopoulos, David Goldsman, Peng Tang, James R. Wilson:
A sequential procedure for estimating the steady-state mean using standardized time series. WSC 2013: 613-622 - 2012
- [c12]Wenwei Wang, Cheng Lin, Peng Tang, Chengjun Zhou:
Thermal Characteristic Analysis of Power Lithium-ion Battery System for Electric Vehicle. ICDMA 2012: 967-971 - [c11]Peng Tang, Siu Cheung Hui, Gao Cong:
Functional Feature Extraction and Chemical Retrieval. SSDBM 2012: 507-525 - 2011
- [c10]Peng Tang, Siu Cheung Hui, Chi-Wing Fu:
Online structural analysis for handwritten chemical expression recognition. ICICS 2011: 1-5 - [c9]Qingyi Gao, Peng Tang, Ting Deng, Tianyu Wo:
VirtualRank: A Prediction Based Load Balancing Technique in Virtual Computing Environment. SERVICES 2011: 247-256 - 2010
- [c8]Chee Kheong Siew, Shuai Peng, Wuqiong Luo, Peng Tang, Yanting Mo:
Scalable Distributed-FDPS Algorithm for QoS Provisioning. INC 2010: 31-40
2000 – 2009
- 2008
- [j2]Peng Tang, Jing Xiao:
Automatic Generation of High-level Contact State Space between 3D Curved Objects. Int. J. Robotics Res. 27(7): 832-854 (2008) - [c7]Peng Tang, Lin Gao, Peng Sheng:
A Stochastic Approach Based Bayesian Salient Motion Segmentation Method. CSSE (1) 2008: 997-1000 - [c6]Lin Gao, Zhifang Liu, Peng Tang:
Probabilistic Visual Tracking using Global and Local Object's Information. CSSE (1) 2008: 1005-1008 - [c5]Peng Tang, Lin Gao:
Video object segmentation based on graph cut with dynamic shape prior constraint. ICPR 2008: 1-4 - 2007
- [c4]Peng Tang, Jing Xiao:
Automatic generation of contact state graphs between a polygon and a planar kinematic chain. IROS 2007: 1564-1569 - 2006
- [c3]Peng Tang, Jing Xiao:
Automatic Generation of Contact State Graphs based on Curvature Monotonic Segmentation. ICRA 2006: 2633-2640 - [c2]Peng Tang, Jing Xiao:
Generation of Point-contact State Space between Strictly Curved Objects. Robotics: Science and Systems 2006 - 2005
- [c1]Peng Tang, Jing Xiao:
Automatic Generation of High-level Contact State Space between Planar Curved Objects. ICRA 2005: 3601-3606 - 2004
- [j1]Cheng-de Lin, Peng Tang:
Kekulé Count in Capped Zigzag Boron-Nitride Nanotubes. J. Chem. Inf. Model. 44(1): 13-20 (2004)
Coauthor Index
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