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ORCIDPeng Tang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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- Peng Tang 0001
![[0009-0002-1222-9665]](https://dblp.org/img/orcid-mark.12x12.png "0009-0002-1222-9665")
— PLA Army Engineering University, College of Communications Engineering, Nanjing, China - Peng Tang 0002 — Shanghai Jiao Tong University, School of Cyber Science and Engineering, China
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2020 – today
- 2026
[j90]Peng Tang, Huihuang Zhao, Weiliang Meng, Yaonan Wang:
One-shot motion talking head generation with audio-driven model. Expert Syst. Appl. 297: 129344 (2026)- 2025
- [j89]Ning Wang, Jian Zhuang, Zhigang Wang, Zhiqiang Wei, Yu Gu, Peng Tang, Ge Yu:
Multidimensional categorical data collection under shuffled differential privacy. Comput. Secur. 151: 104301 (2025) - [j88]Peng Tang, Junfeng Wang, Mingxing Liu:
Variational learning to rank for Test Case Prioritization via prioritizing metric inspired differentiable loss. Eng. Appl. Artif. Intell. 141: 109776 (2025) - [j87]Peng Tang, Zhibin Yu:
Self-supervised visual assessment of railway track curvature via homography learning based on projective curvilinear geometry model. Eng. Appl. Artif. Intell. 162: 112506 (2025) - [j86]Peng Tang, Xin Luo:
Neural Tucker Factorization. IEEE CAA J. Autom. Sinica 12(2): 475-477 (2025) - [j85]Longzhu He, Peng Tang, Yuanhe Zhang, Pengpeng Zhou, Sen Su:
Mitigating privacy risks in Retrieval-Augmented Generation via locally private entity perturbation. Inf. Process. Manag. 62(5): 104150 (2025) - [j84]Peng Tang, Weinan Chen, Chuan Zhou, Guodong Chen, Zhenhua Wang, Lining Sun:
Research on automatic spraying technology for 3D shoe uppers. Ind. Robot 52(6): 813-820 (2025) - [j83]Minquan Long, Tingcheng Li, Peng Tang, Zhengyang Lyu, Zhongsheng Wang, Jiaji Liu, Xiaonan Luo, Tianran Yuan:
MMJTIS-Net: multi-model joint tooth instance segmentation network for advanced stomatological treatment. J. Electronic Imaging 34(5) (2025) - [j82]Pengfei Li, Huihuang Zhao, Mugang Lin, Qingyun Liu, Peng Tang, Yangfan Zhou:
Expressive talking face generation via audio visual control. Multim. Syst. 31(3): 198 (2025) - [j81]Xinwang Xiao, Huihuang Zhao, Yuhang Li, Peng Tang, Yue Deng:
TSGFormer: temporal-aware network and spatial encoding GCN for three-dimensional human pose estimation. Multim. Syst. 31(3): 219 (2025) - [j80]Peng Tang, Yong Zhang:
LiteFlex-YOLO:A lightweight small target detection network for maritime unmanned aerial vehicles. Pervasive Mob. Comput. 111: 102064 (2025) - [j79]Zhibing Sha, Shuaiwen Yu, Chengyong Tang, Zhigang Cai, Peng Tang, Min Huang, Jun Li, Jianwei Liao:
Supports of Data Cache Division for Computational Solid-state Drives. ACM Trans. Archit. Code Optim. 22(3): 101:1-101:20 (2025) - [j78]Peng Tang, Guodong Sa, Junkai Ge, Zhenyu Liu, Jianrong Tan:
Projection Pattern Precorrection Method Based on Projection Error Decoupling in Fringe Projection Profilometry. IEEE Trans. Instrum. Meas. 74: 1-16 (2025) - [j77]Xue-Ning Li, Fang-Jiong Chen, Ye-Ping Lai, Peng Tang, Xiao-Jun Liang:
ICAT-net: a lightweight neural network with optimized coordinate attention and transformer mechanisms for earthquake detection and phase picking. J. Supercomput. 81(1): 191 (2025) - [j76]Peng Tang, Xin Luo, Jim Woodcock:
Auto-Encoding Neural Tucker Factorization. IEEE Trans. Knowl. Data Eng. 37(10): 5795-5807 (2025) - [j75]Peng Tang, Xiaoxiao Yan, Xiaobin Hu, Kai Wu, Tobias Lasser, Kuangyu Shi:
Anomaly Detection in Medical Images Using Encoder-Attention-2Decoders Reconstruction. IEEE Trans. Medical Imaging 44(8): 3370-3382 (2025) - [c71]Xiyue Zhu, Peng Tang, Haofu Liao, Srikar Appalaraju:
Turbocharging Web Automation: The Impact of Compressed History States. ACL (Findings) 2025: 3644-3651 - [c70]Joonhyung Park, Peng Tang, Sagnik Das, Srikar Appalaraju, Kunwar Yashraj Singh, R. Manmatha, Shabnam Ghadar:
R-VLM: Region-Aware Vision Language Model for Precise GUI Grounding. ACL (Findings) 2025: 9669-9685 - [c69]Yuqing Li, Jintao Liang, Peng Tang, Sen Su:
Collaborative Personalized Federated Learning via Exponential Moving Average Optimization. ICASSP 2025: 1-5 - [c68]Yikai Hou, Peng Tang:
Temporal Pattern-Aware QoS Prediction by Self-Attending Neural Tucker Factorization. ICHMS 2025: 211-216 - [c67]Longzhu He, Chaozhuo Li, Peng Tang, Sen Su:
Going Deeper into Locally Differentially Private Graph Neural Networks. ICML 2025 - [c66]Tianyang Zhao, Kunwar Yashraj Singh, Srikar Appalaraju, Peng Tang, Ying Nian Wu, Li Erran Li:
On the Analysis and Distillation of Emergent Outlier Properties in Pre-trained Language Models. NAACL (Long Papers) 2025: 8475-8507 - [c65]Xuening Li, Peng Tang, Fangjiong Chen, Xiaojun Liang:
Knowledge Distillation for Large Language Models Based on Global Keywords and Chain of Thought. NLPCC (3) 2025: 16-28 - [c64]Bo Jiang, Fancheng Shu, Yuyang Cui, Xiangjie Wang, Peng Tang, Lei Wang, Weiping Zhang, Yong Wang, Guobin Wu:
AutoTracer: A Low-Overhead Tracing Framework for Autonomous Driving System. SIGSOFT FSE Companion 2025: 389-399 - [i44]Yikai Hou, Peng Tang:
Multi-Head Self-Attending Neural Tucker Factorization. CoRR abs/2501.09776 (2025) - [i43]Longzhu He, Chaozhuo Li, Peng Tang, Lichao Sun, Sen Su, Philip S. Yu:
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols. CoRR abs/2506.09803 (2025) - [i42]Yikai Hou, Peng Tang:
Neural Canonical Polyadic Factorization for Traffic Analysis. CoRR abs/2506.15079 (2025) - [i41]Joonhyung Park, Peng Tang, Sagnik Das, Srikar Appalaraju, Kunwar Yashraj Singh, R. Manmatha, Shabnam Ghadar:
R-VLM: Region-Aware Vision Language Model for Precise GUI Grounding. CoRR abs/2507.05673 (2025) - [i40]Xiyue Zhu, Peng Tang, Haofu Liao, Srikar Appalaraju:
Turbocharging Web Automation: The Impact of Compressed History States. CoRR abs/2507.21369 (2025) - [i39]Peng Di, Faqiang Chen, Xiao Bai, Hongjun Yang, Qingfeng Li, Ganglin Wei, Jian Mou, Feng Shi, Keting Chen, Peng Tang, Zhitao Shen, Zheng Li, Wenhui Shi, Junwei Guo, Hang Yu:
OpenDerisk: An Industrial Framework for AI-Driven SRE, with Design, Implementation, and Case Studies. CoRR abs/2510.13561 (2025) - [i38]Haiyue Sun, Qingdong He, Jinlong Peng, Peng Tang, Jiangning Zhang, Junwei Zhu, Xiaobin Hu, Shuicheng Yan:
TokenAR: Multiple Subject Generation via Autoregressive Token-level enhancement. CoRR abs/2510.16332 (2025) - [i37]Peng Tang, Xiaoxiao Yan, Xiaobin Hu, Yuning Cui, Donghao Luo, Jiangning Zhang, Pengcheng Xu, Jinlong Peng, Qingdong He, Feiyue Huang, Song Xue, Tobias Lasser:
ShortcutBreaker: Low-Rank Noisy Bottleneck with Global Perturbation Attention for Multi-Class Unsupervised Anomaly Detection. CoRR abs/2510.18342 (2025) - [i36]Xinfeng Xia, Jiacheng Liu, Xiaofeng Hou, Peng Tang, Mingxuan Zhang, Wenfeng Wang, Chao Li:
MoE-Prism: Disentangling Monolithic Experts for Elastic MoE Services via Model-System Co-Designs. CoRR abs/2510.19366 (2025) - [i35]Wenfeng Wang, Jiacheng Liu, Xiaofeng Hou, Xinfeng Xia, Peng Tang, Mingxuan Zhang, Chao Li, Minyi Guo:
MoE-SpeQ: Speculative Quantized Decoding with Proactive Expert Prefetching and Offloading for Mixture-of-Experts. CoRR abs/2511.14102 (2025) - 2024
- [b2]Peng Tang:
Deep Learning-based Multi-Modal Fusion Method for Skin Lesion Classification. Technical University of Munich, Germany, 2024 - [j74]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) - [j73]Pengfei Li, Huihuang Zhao, Qingyun Liu, Peng Tang, Lin Zhang:
TellMeTalk: Multimodal-driven talking face video generation. Comput. Electr. Eng. 114: 109049 (2024) - [j72]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) - [j71]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) - [j70]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) - [j69]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) - [j68]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) - [j67]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) - [j66]Peng Tang, Cheng Xie, Haoran Duan:
Node and edge dual-masked self-supervised graph representation. Knowl. Inf. Syst. 66(4): 2307-2326 (2024) - [j65]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) - [j64]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) - [j63]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) - [j62]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) - [c63]Srikar Appalaraju, Peng Tang, Qi Dong, Nishant Sankaran, Yichu Zhou, R. Manmatha:
DocFormerv2: Local Features for Document Understanding. AAAI 2024: 709-718 - [c62]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 - [c61]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 - [c60]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 - [c59]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 - [c58]Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto:
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. EMNLP 2024: 3167-3193 - [c57]Jiacheng Liu, Peng Tang, Xiaofeng Hou, Chao Li, Pheng-Ann Heng:
LoRAExit: Empowering Dynamic Modulation of LLMs in Resource-limited Settings using Low-rank Adapters. EMNLP (Findings) 2024: 9211-9225 - [c56]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 - [c55]Chi Zhang, Qilong Han, Rui Chen, Xiangyu Zhao, Peng Tang, Hongtao Song:
SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation. ICDE 2024: 803-815 - [c54]Xin Liao, Qicong Hu, Peng Tang:
An Adaptive Temporal-Dependent Tensor Low-Rank Representation Model for Dynamic Communication Network Embedding. ICNSC 2024: 1-6 - [c53]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 - [c52]Peng Tang, Srikar Appalaraju, R. Manmatha, Yusheng Xie, Vijay Mahadevan:
Multiple-Question Multiple-Answer Text-VQA. NAACL (Industry Track) 2024: 73-88 - [c51]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 - [c50]Wei Zhang, Peng Tang:
Multi-Segment Fusion-Enhanced Spatial-Temporal Graph Convolutional Network for Traffic Flow Prediction. SMC 2024: 1322-1327 - [c49]Peng Yuan, Peng Tang:
MDS-GNN: Mutual Dual-Stream Graph Neural Network on Incomplete Graphs. SMC 2024: 3577-3582 - [c48]Yifan Yu, Ruoyan Lin, Shuang Li, Qinsheng Hou, Peng Tang, Wenrui Diao:
Security Assessment of Customizations in Android Smartwatch Firmware. TrustCom 2024: 1141-1148 - [i34]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) - [i33]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) - [i32]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) - [i31]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) - [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) - [i27]Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto:
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. CoRR abs/2410.03061 (2024) - [i26]Peng Tang, Jiacheng Liu, Xiaofeng Hou, Yifei Pu, Jing Wang, Pheng-Ann Heng, Chao Li, Minyi Guo:
HOBBIT: A Mixed Precision Expert Offloading System for Fast MoE Inference. CoRR abs/2411.01433 (2024) - [i25]Jiacheng Liu, Peng Tang, Wenfeng Wang, Yuhang Ren, Xiaofeng Hou, Pheng-Ann Heng, Minyi Guo, Chao Li:
A Survey on Inference Optimization Techniques for Mixture of Experts Models. CoRR abs/2412.14219 (2024) - 2023
- [j61]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) - [j60]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) - [j59]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) - [j58]Haoran Duan, Cheng Xie, Bin Li, Peng Tang:
Self-supervised contrastive graph representation with node and graph augmentation. Neural Networks 167: 223-232 (2023) - [j57]Beibei Yu, Cheng Xie, Peng Tang, Bin Li:
Semantic-visual shared knowledge graph for zero-shot learning. PeerJ Comput. Sci. 9: e1260 (2023) - [j56]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) - [c47]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 - [c46]Shichen Wu, Zhiying Song, Puwen Wei, Peng Tang, Quan Yuan:
Improving Privacy of Anonymous Proof-of-Stake Protocols. CANS 2023: 368-391 - [c45]Jingqi Yang, Cheng Xie, Peng Tang:
Discriminative Feature Focus via Masked Autoencoder for Zero-Shot Learning. CSCWD 2023: 417-422 - [c44]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 - [c43]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 - [c42]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 - [i24]Srikar Appalaraju, Peng Tang, Qi Dong, Nishant Sankaran, Yichu Zhou, R. Manmatha:
DocFormerv2: Local Features for Document Understanding. CoRR abs/2306.01733 (2023) - [i23]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) - [i22]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) - [i21]Peng Tang, Srikar Appalaraju, R. Manmatha, Yusheng Xie, Vijay Mahadevan:
Multiple-Question Multiple-Answer Text-VQA. CoRR abs/2311.08622 (2023) - [i20]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) - [i19]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) - [i18]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
- [j55]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) - [j54]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) - [j53]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) - [j52]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) - [j51]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) - [j50]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) - [j49]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) - [j48]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) - [j47]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) - [c41]Peng Tang, Cheng Xie, Beibei Yu:
None-Negative Graph Contrastive Learning for Knowledge-Driven Zero-Shot Learning. ICEBE 2022: 106-111 - [c40]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 - [i17]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) - [i16]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) - [i15]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) - 2021
- [j46]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) - [j45]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) - [j44]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) - [j43]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) - [j42]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) - [c39]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 - [c38]Zhijun Zhang, Weidong Jin, Peng Tang:
Recognition Network of Catenary Dropper State based on Memory-enhanced Convolutional Autoencoder. ICSPCC 2021: 1-6 - [c37]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
- [j41]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) - [j40]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) - [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]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) - [j36]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) - [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
- [j35]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) - [j34]Shao Xiang, Qiaokang Liang, Yucheng Hu, Peng Tang, Gianmarc Coppola, Dan Zhang, Wei Sun:
AMC-Net: Asymmetric and multi-scale convolutional neural network for multi-label HPA classification. Comput. Methods Programs Biomed. 178: 275-287 (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) - [c36]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 - [c35]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 - [c34]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) - [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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