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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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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2020 – today
- 2025
[j34]Kai Hu
, Sheng Gong, Lingxiao Li, Yuantu Luo, Yaogen Li, Shanshan Jiang:
Federated Incremental Learning algorithm based on Topological Data Analysis. Pattern Recognit. 158: 111048 (2025)- 2024
- [j33]Kai Hu, Sheng Gong, Qi Zhang, Chaowen Seng, Min Xia, Shanshan Jiang:
An overview of implementing security and privacy in federated learning. Artif. Intell. Rev. 57(8): 204 (2024) - [j32]Kai Hu, Yaogen Li, Shuai Zhang, Jiasheng Wu, Sheng Gong, Shanshan Jiang, Liguo Weng:
FedMMD: A Federated weighting algorithm considering Non-IID and Local Model Deviation. Expert Syst. Appl. 237(Part A): 121463 (2024) - [j31]Shanshan Jiang, Guoping Lin, Jinjin Li, Yidong Lin:
A novel multi-source TWD model based on multi-granularity ball for multiple decision makers. Expert Syst. Appl. 251: 124086 (2024) - [j30]Jingpu Wu, Qianqi Huang, Yiqing Shen, Pengfei Guo, Jinyuan Zhou, Shanshan Jiang:
Radiomic feature reliability of amide proton transfer-weighted MR images acquired with compressed sensing at 3 T. Int. J. Imaging Syst. Technol. 34(2) (2024) - [j29]Lingxiao Li, Kai Hu, Xiaobo Zhu, Shanshan Jiang, Liguo Weng, Min Xia:
Approaching Expressive and Secure Vertical Federated Learning With Embedding Alignment in Intelligent IoT Systems. IEEE Internet Things J. 11(23): 38657-38672 (2024) - [j28]Shanshan Jiang, Haifeng Lin, Hongjin Ren, Ziwei Hu, Liguo Weng, Min Xia:
MDANet: A High-Resolution City Change Detection Network Based on Difference and Attention Mechanisms under Multi-Scale Feature Fusion. Remote. Sens. 16(8): 1387 (2024) - [j27]Kai Hu, Qi Zhang, Sheng Gong, Fuying Zhang, Liguo Weng, Shanshan Jiang, Min Xia:
A Review of Anthropogenic Ground-Level Carbon Emissions Based on Satellite Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8339-8357 (2024) - [j26]Jinghu Li, Qianguo Xing, Liqiao Tian, Yingzhuo Hou, Xiangyang Zheng, Maham Arif, Lin Li, Shanshan Jiang, Jiannan Cai, Jun Chen, Yingcheng Lu, Dingfeng Yu, Jindong Xu:
An Improved UAV RGB Image Processing Method for Quantitative Remote Sensing of Marine Green Macroalgae. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 19864-19883 (2024) - [j25]Yuxuan Xia, Shanshan Jiang, Lingyi Meng, Xin Ju:
XGBoost-B-GHM: An Ensemble Model with Feature Selection and GHM Loss Function Optimization for Credit Scoring. Syst. 12(7): 254 (2024) - [j24]Pengfei Guo, Yiqun Mei, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel:
ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer. IEEE Trans. Medical Imaging 43(1): 582-593 (2024) - [c55]Vicente Iván Sánchez Carmona, Shanshan Jiang, Bin Dong:
A Multilevel Analysis of PubMed-only BERT-based Biomedical Models. ClinicalNLP@NAACL 2024: 105-110 - [c54]Vicente Iván Sánchez Carmona, Shanshan Jiang, Takeshi Suzuki, Bin Dong:
Multilevel Analysis of Biomedical Domain Adaptation of Llama 2: What Matters the Most? A Case Study. BioNLP@ACL 2024: 449-456 - [c53]Ning Bian, Xianpei Han, Le Sun, Hongyu Lin, Yaojie Lu, Ben He, Shanshan Jiang, Bin Dong:
ChatGPT Is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models. LREC/COLING 2024: 3098-3110 - [c52]Jiawei Chen, Hongyu Lin, Xianpei Han, Yaojie Lu, Shanshan Jiang, Bin Dong, Le Sun:
Few-shot Named Entity Recognition via Superposition Concept Discrimination. LREC/COLING 2024: 7220-7231 - [c51]Boxi Cao, Qiaoyu Tang, Hongyu Lin, Shanshan Jiang, Bin Dong, Xianpei Han, Jiawei Chen, Tianshu Wang, Le Sun:
Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models. LREC/COLING 2024: 14016-14036 - [i15]Jiawei Chen, Hongyu Lin, Xianpei Han, Yaojie Lu, Shanshan Jiang, Bin Dong, Le Sun:
Few-shot Named Entity Recognition via Superposition Concept Discrimination. CoRR abs/2403.16463 (2024) - 2023
- [j23]Shanshan Jiang, Meixia Lu, Kai Hu, Jiasheng Wu, Yaogen Li, Liguo Weng, Min Xia, Haifeng Lin:
Personalized federated learning based on multi-head attention algorithm. Int. J. Mach. Learn. Cybern. 14(11): 3783-3798 (2023) - [j22]Shanshan Jiang, Ruiting Dong, Jie Wang, Min Xia:
Credit Card Fraud Detection Based on Unsupervised Attentional Anomaly Detection Network. Syst. 11(6): 305 (2023) - [c50]Yiqing Shen, Pengfei Guo, Jingpu Wu, Qianqi Huang, Nhat Le, Jinyuan Zhou, Shanshan Jiang, Mathias Unberath:
MoViT: Memorizing Vision Transformers for Medical Image Analysis. MLMI@MICCAI (2) 2023: 205-213 - [c49]Yuming Zhang, Hongyu Li, Yongwei Zhang, Shanshan Jiang, Bin Dong:
SRCB at SemEval-2023 Task 2: A System of Complex Named Entity Recognition with External Knowledge. SemEval@ACL 2023: 671-678 - [i14]Yiqing Shen, Pengfei Guo, Jingpu Wu, Qianqi Huang, Jinyuan Zhou, Shanshan Jiang, Mathias Unberath:
MoViT: Memorizing Vision Transformers for Medical Image Analysis. CoRR abs/2303.15553 (2023) - 2022
- [j21]Shanshan Jiang, Kine Jakobsen, Jonas Bueie, Jingyue Li, Peter Halland Haro:
A Tertiary Review on Blockchain and Sustainability With Focus on Sustainable Development Goals. IEEE Access 10: 114975-115006 (2022) - [c48]Shanshan Jiang, Marit K. Natvig, Svein O. Hallsteinsen, Karen Byskov Lindberg:
Lessons Learned from Demonstrating Smart and Green Charging in an Urban Living Lab. AINA (3) 2022: 624-636 - [c47]Shanshan Jiang, Truls Bakkejord Ræder:
Experience on Using ArchiMate Models for Modelling Blockchain-Enhanced Value Chains. EASE 2022: 375-382 - [c46]Haixia Li, Shanshan Jiang, Song Tian, Xiuzheng Yue, Weibo Chen, Yihui Fan:
Automatic Image Quality Assessment and Cardiac Segmentation Based on CMR Images. STACOM@MICCAI 2022: 439-446 - [i13]Pengfei Guo, Yiqun Mei, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel:
ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer. CoRR abs/2201.09376 (2022) - [i12]Sheng-Guo Wang, Shanshan Jiang:
Optimal Hyperparameters and Structure Setting of Multi-Objective Robust CNN Systems via Generalized Taguchi Method and Objective Vector Norm. CoRR abs/2202.04567 (2022) - 2021
- [j20]Yongli He, Li Zhu, Ying Zhu, Chunsheng Chen, Shanshan Jiang, Rui Liu, Yi Shi, Qing Wan:
Recent Progress on Emerging Transistor-Based Neuromorphic Devices. Adv. Intell. Syst. 3(7): 2000210 (2021) - [j19]Lei Xu, Shanshan Jiang, Jin Wu, Quan Zou:
An in silico approach to identification, categorization and prediction of nucleic acid binding proteins. Briefings Bioinform. 22(3) (2021) - [j18]Shanshan Jiang, Zhitong Huang, Yuefeng Ji:
Adaptive UAV-Assisted Geographic Routing With Q-Learning in VANET. IEEE Commun. Lett. 25(4): 1358-1362 (2021) - [j17]Salvatore Venticinque, Beniamino Di Martino, Rocco Aversa, Marit K. Natvig, Shanshan Jiang, Regina Enrich Sard:
Evaluation of innovative solutions for e-mobility. Int. J. Grid Util. Comput. 12(2): 159-172 (2021) - [j16]Shanshan Jiang, Shaobo Qi:
The construction of emergency intelligence service system for think tanks in the context of big data. J. Comput. Methods Sci. Eng. 21(6): 2107-2123 (2021) - [j15]Pengfei Guo, Puyang Wang, Rajeev Yasarla, Jinyuan Zhou, Vishal M. Patel, Shanshan Jiang:
Anatomic and Molecular MR Image Synthesis Using Confidence Guided CNNs. IEEE Trans. Medical Imaging 40(10): 2832-2844 (2021) - [c45]Marit K. Natvig, Shanshan Jiang, Svein O. Hallsteinsen, Salvatore Venticinque, Regina Enrich Sard:
Evaluation Approach for Smart Charging Ecosystem - with Focus on Automated Data Collection and Indicator Calculations. AINA (3) 2021: 653-666 - [c44]Pengfei Guo, Puyang Wang, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel:
Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning. CVPR 2021: 2423-2432 - [c43]Hao Qiu, Pan Su, Shanshan Jiang, Xingyu Yue, Yitian Zhao, Jiang Liu:
Learning from Human Uncertainty by Choquet Integral for Optic Disc Segmentation. ICCCV 2021: 7-12 - [c42]Shanshan Jiang, Kine Jakobsen, Letizia Jaccheri, Jingyue Li:
Blockchain and Sustainability: A Tertiary Study. BoKSS@ICSE 2021: 7-8 - [c41]Jiahao Zhao, Bin Zi, Shanshan Jiang, Feng Xu:
Design and Kinematic Analysis of a Rigid-flexible Coupling Driven Parallel Spraying Robot. M2VIP 2021: 235-240 - [c40]Pengfei Guo, Jeya Maria Jose Valanarasu, Puyang Wang, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel:
Over-and-Under Complete Convolutional RNN for MRI Reconstruction. MICCAI (6) 2021: 13-23 - [i11]Pengfei Guo, Puyang Wang, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel:
Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning. CoRR abs/2103.02148 (2021) - [i10]Shanshan Jiang, Kine Jakobsen, Letizia Jaccheri, Jingyue Li:
Blockchain and Sustainability: A Tertiary Study. CoRR abs/2103.16937 (2021) - [i9]Yuanming Li, Huaizheng Zhang, Shanshan Jiang, Fan Yang, Yonggang Wen, Yong Luo:
ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale. CoRR abs/2105.08275 (2021) - [i8]Pengfei Guo, Jeya Maria Jose Valanarasu, Puyang Wang, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel:
Over-and-Under Complete Convolutional RNN for MRI Reconstruction. CoRR abs/2106.08886 (2021) - 2020
- [j14]Zhuang Wu, Shanshan Jiang, Xiaolei Zhou, Yuanyuan Wang, Yuanyuan Zuo, Zhewei Wu, Lei Liang, Qi Liu:
Application of image retrieval based on convolutional neural networks and Hu invariant moment algorithm in computer telecommunications. Comput. Commun. 150: 729-738 (2020) - [c39]Marit K. Natvig, Shanshan Jiang, Svein O. Hallsteinsen:
Stakeholder Motivation Analysis for Smart and Green Charging for Electric Mobility. AINA Workshops 2020: 1394-1407 - [c38]Puyang Wang, Pengfei Guo, Jianhua Lu, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel:
Improving Amide Proton Transfer-Weighted MRI Reconstruction Using T2-Weighted Images. MICCAI (2) 2020: 3-12 - [c37]Pengfei Guo, Puyang Wang, Jinyuan Zhou, Vishal M. Patel, Shanshan Jiang:
Lesion Mask-Based Simultaneous Synthesis of Anatomic and Molecular MR Images Using a GAN. MICCAI (2) 2020: 104-113 - [i7]Pengfei Guo, Puyang Wang, Jinyuan Zhou, Vishal M. Patel, Shanshan Jiang:
Lesion Mask-based Simultaneous Synthesis of Anatomic and MolecularMR Images using a GAN. CoRR abs/2006.14761 (2020) - [i6]Pengfei Guo, Puyang Wang, Rajeev Yasarla, Jinyuan Zhou, Vishal M. Patel, Shanshan Jiang:
Confidence-guided Lesion Mask-based Simultaneous Synthesis of Anatomic and Molecular MR Images in Patients with Post-treatment Malignant Gliomas. CoRR abs/2008.02859 (2020)
2010 – 2019
- 2019
- [j13]Shanshan Jiang, Hong Fan:
Systemic Risk in the Interbank Market with Overlapping Portfolios. Complex. 2019: 5317819:1-5317819:12 (2019) - [j12]Hye-Young Heo, Zheng Han, Shanshan Jiang, Michael Schär, Peter C. M. van Zijl, Jinyuan Zhou:
Quantifying amide proton exchange rate and concentration in chemical exchange saturation transfer imaging of the human brain. NeuroImage 189: 202-213 (2019) - [j11]Fengying Zhang, Zengxin Zhang, Rui Kong, Juan Chang, Jiaxi Tian, Bin Zhu, Shanshan Jiang, Xi Chen, Chong-Yu Xu:
Changes in Forest Net Primary Productivity in the Yangtze River Basin and Its Relationship with Climate Change and Human Activities. Remote. Sens. 11(12): 1451 (2019) - [c36]Yixuan Tong, Liang Liang, Boyan Liu, Shanshan Jiang, Bin Dong:
Supervised neural machine translation based on data augmentation and improved training & inference process. WAT@EMNLP-IJCNLP 2019: 147-151 - [c35]Shanshan Jiang, Wenyi Zhang:
Modeling Day-to-day Rerouting Process with Shortest-Route Pursuit and More Behavior Consideration. CSAE 2019: 140:1-140:5 - [c34]Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun, Bin Dong, Shanshan Jiang:
Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition. EMNLP/IJCNLP (1) 2019: 6231-6236 - [c33]Yeheng Duan, Long-Long Ma, Xianpei Han, Le Sun, Bin Dong, Shanshan Jiang:
External Knowledge-Based Weakly Supervised Learning Approach on Chinese Clinical Named Entity Recognition. JIST 2019: 336-352 - [c32]Shanshan Jiang, Thomas F. Hagelien, Marit K. Natvig, Jingyue Li:
Ontology-Based Semantic Search for Open Government Data. ICSC 2019: 7-15 - [c31]Shaoyu Cai, Pingchuan Ke, Shanshan Jiang, Takuji Narumi, Kening Zhu:
Demonstration of ThermAirGlove: A Pneumatic Glove for Material Perception in Virtual Reality through Thermal and Force Feedback. SIGGRAPH ASIA Emerging Technologies 2019: 11-12 - [c30]Pingchuan Ke, Kai-Ning Keng, Shanshan Jiang, Shaoyu Cai, Zhiyi Rong, Kening Zhu:
Embodied Weather: Promoting Public Understanding of Extreme Weather Through Immersive Multi-Sensory Virtual Reality. VRCAI 2019: 60:1-60:2 - [c29]Salvatore Venticinque, Rocco Aversa, Beniamino Di Martino, Marit K. Natvig, Shanshan Jiang, Regina Enrich Sard:
Evaluating Technology Innovation for E-Mobility. WETICE 2019: 76-81 - [i5]Lei Ding, Liang Liang, Yixuan Tong, Shanshan Jiang, Bin Dong:
A BERT-based Model for Drug-Drug Interaction Extraction from Drug Labels. TAC 2019 - 2018
- [j10]Shanshan Jiang, Hong Fan, Min Xia:
Credit Risk Contagion Based on Asymmetric Information Association. Complex. 2018: 2929157:1-2929157:11 (2018) - [j9]Xi Zhang, Yanwei Fu, Shanshan Jiang, Xiangyang Xue, Yu-Gang Jiang, Gady Agam:
Stacked multichannel autoencoder - an efficient way of learning from synthetic data. Multim. Tools Appl. 77(20): 26563-26580 (2018) - [j8]Lili He, Hongtao Bai, Yu Jiang, Dantong Ouyang, Shanshan Jiang:
Revised simplex algorithm for linear programming on GPUs with CUDA. Multim. Tools Appl. 77(22): 30035-30050 (2018) - [c28]Yihan Li, Boyan Liu, Yixuan Tong, Shanshan Jiang, Bin Dong:
SRCB Neural Machine Translation Systems in WAT 2018. WAT@PACLIC 2018 - [c27]Shanshan Jiang, Haitao Fang, Kai He, Chaoyu Yan:
Research on Obstacle Avoidance Path Planning Algorithm for Six-axis Robot. ICIA 2018: 465-469 - [c26]Xi Zhang, Di Ma, Xu Ouyang, Shanshan Jiang, Lin Gan, Gady Agam:
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask. IJCAI 2018: 1170-1176 - [c25]Peng Liu, Zaiwang Gu, Fan Liu, Yuming Jiang, Shanshan Jiang, Haoyu Mao, Jun Cheng, Lixin Duan, Jiang Liu:
Large-Scale Left and Right Eye Classification in Retinal Images. COMPAY/OMIA@MICCAI 2018: 261-268 - [i4]Xi Zhang, Di Ma, Xu Ouyang, Shanshan Jiang, Lin Gan, Gady Agam:
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask. CoRR abs/1805.03596 (2018) - 2017
- [c24]Rocco Aversa, Beniamino Di Martino, Geir Horn, Svein O. Hallsteinsen, Salvatore Venticinque, Shanshan Jiang:
Smart Communities of Intelligent Software Agents for Collaborating and Semantically Interoperable Micro-Grids. CISIS 2017: 834-843 - [c23]Yihan Li, Shanshan Jiang, Lei Ding, Yixuan Tong, Bin Dong:
SRCB at the NTCIR-13 STC-2 Task. NTCIR 2017 - [i3]Shanshan Jiang, Yihan Li, Tianyi Qin, Qian Meng, Bin Dong:
SRCB Entity Discovery and Linking (EDL) and Event Nugget Systems for TAC 2017. TAC 2017 - 2016
- [c22]Xi Zhang, Di Ma, Lin Gan, Shanshan Jiang, Gady Agam:
CGMOS: Certainty Guided Minority OverSampling. CIKM 2016: 1623-1631 - [c21]Hongtao Bai, Lili He, Yu Jiang, Jin Wang, Shanshan Jiang:
Linear Programming Computation Model Based on DPVM. CSA/CUTE 2016: 477-483 - [i2]Xi Zhang, Di Ma, Lin Gan, Shanshan Jiang, Gady Agam:
CGMOS: Certainty Guided Minority OverSampling. CoRR abs/1607.06525 (2016) - 2015
- [c20]Jacqueline Floch, Shanshan Jiang:
One place, many stories digital storytelling for cultural heritage discovery in the landscape. Digital Heritage 2015: 503-510 - [c19]Xi Zhang, Yanwei Fu, Shanshan Jiang, Leonid Sigal, Gady Agam:
Learning from Synthetic Data Using a Stacked Multichannel Autoencoder. ICMLA 2015: 461-464 - [i1]Xi Zhang, Yanwei Fu, Shanshan Jiang, Leonid Sigal, Gady Agam:
Learning from Synthetic Data Using a Stacked Multichannel Autoencoder. CoRR abs/1509.05463 (2015) - 2014
- [c18]Shuyan Jiang, Jie Peng, Zhi Lu, Junjie Jiao, Shanshan Jiang:
802.11ad Key Performance Analysis and Its Application in Home Wireless Entertainment. CSE 2014: 1595-1598 - [c17]Jacqueline Floch, Shanshan Jiang, María Eugénia Beltrán, Eurydice S. Georganteli, Ioanna N. Koukouni, Belén Prados, Lucía María Pérez, María del Mar Villafranca, Silvia de los Ríos Pérez, María Fernanda Cabrera-Umpiérrez, María Teresa Arredondo:
Tailoring Lifelong Cultural Experiences. HCI (5) 2014: 681-692 - [c16]Alba Amato, Beniamino Di Martino, Marco Scialdone, Salvatore Venticinque, Svein O. Hallsteinsen, Shanshan Jiang:
A Distributed System for Smart Energy Negotiation. IDCS 2014: 422-434 - 2013
- [j7]Kang Zhou, Jian Hou, Xiansong Zhang, Qingjun Du, Xiaodong Kang, Shanshan Jiang:
Optimal control of polymer flooding based on simultaneous perturbation stochastic approximation method guided by finite difference gradient. Comput. Chem. Eng. 55: 40-49 (2013) - [j6]Mingfeng Jiang, Yaming Wang, Ling Xia, Feng Liu, Shanshan Jiang, Wenqing Huang:
The combination of self-organizing feature maps and support vector regression for solving the inverse ECG problem. Comput. Math. Appl. 66(10): 1981-1990 (2013) - [j5]Mingfeng Jiang, Shanshan Jiang, Lingyan Zhu, Yaming Wang, Wenqing Huang, Heng Zhang:
Study on Parameter Optimization for Support Vector Regression in Solving the Inverse ECG Problem. Comput. Math. Methods Medicine 2013: 158056:1-158056:9 (2013) - 2012
- [c15]Mingfeng Jiang, Jiafu Lv, Shanshan Jiang, Wenqing Huang, Li Cao:
The combination of Self-Organizing Feature Maps and support vector regression for solving the inverse ECG problem. ICNC 2012: 475-479 - 2011
- [j4]Shanshan Jiang, Yuan Xue:
Providing survivability against jamming attack for multi-radio multi-channel wireless mesh networks. J. Netw. Comput. Appl. 34(2): 443-454 (2011) - [c14]Min-quan Zhao, Qing-wei Liang, Shanshan Jiang, Ping Chen:
Learning Curve Model for Torpedo Based on Neural Network. ISNN (2) 2011: 159-164 - [c13]Gunnar Brataas, Shanshan Jiang, Roland Reichle, Kurt Geihs:
Performance property prediction supporting variability for adaptive mobile systems. SPLC Workshops 2011: 37 - 2010
- [c12]Shanshan Jiang, Svein O. Hallsteinsen, Paolo Barone, Alessandro Mamelli, Stephan Mehlhase, Ulrich Scholz:
Hosting and Using Services with QoS Guarantee in Self-adaptive Service Systems. DAIS 2010: 15-28
2000 – 2009
- 2009
- [j3]Shanshan Jiang, Yuan Xue, Douglas C. Schmidt:
Minimum disruption service composition and recovery in mobile ad hoc networks. Comput. Networks 53(10): 1649-1665 (2009) - [j2]Jialin Hong, Shanshan Jiang, Chun Li:
Explicit multi-symplectic methods for Klein-Gordon-Schrödinger equations. J. Comput. Phys. 228(9): 3517-3532 (2009) - [j1]Jialin Hong, Shanshan Jiang, Chun Li:
Accuracy of classical conservation laws for Hamiltonian PDEs under Runge-Kutta discretizations. Numerische Mathematik 112(1): 1-23 (2009) - [c11]Shanshan Jiang, Yuan Xue, Annarita Giani, Ruzena Bajcsy:
Robust Medical Data Delivery for Wireless Pervasive Healthcare. DASC 2009: 802-807 - [c10]Shanshan Jiang, Yuan Xue:
Providing survivability against jamming attack via joint dynamic routing and channel assignment. DRCN 2009: 198-205 - [c9]Shanshan Jiang, Yuan Xue:
Optimal Wireless Network Restoration under Jamming Attack. ICCCN 2009: 1-6 - [c8]Shanshan Jiang, Yuan Xue, Annarita Giani, Ruzena Bajcsy:
Providing QoS support for wireless remote healthcare system. ICME 2009: 1692-1695 - 2008
- [c7]Shanshan Jiang, Yanchuan Cao, Sameer Iyengar, Philip Kuryloski, Roozbeh Jafari, Yuan Xue, Ruzena Bajcsy, Stephen B. Wicker:
CareNet: an integrated wireless sensor networking environment for remote healthcare. BODYNETS 2008: 9 - [c6]Shanshan Jiang, Jacqueline Floch, Richard Torbjørn Sanders:
Modeling and Validating Service Choreography with Semantic Interfaces and Goals. SOSE 2008: 73-78 - 2007
- [c5]Joe Hoffert, Shanshan Jiang, Douglas C. Schmidt:
A taxonomy of discovery services and gap analysis for ultra-large scale systems. ACM Southeast Regional Conference 2007: 355-361 - [c4]Shanshan Jiang, Yuan Xue, Douglas C. Schmidt:
Minimum Disruption Service Composition and Recovery over Mobile Ad Hoc Networks. MobiQuitous 2007: 1-8 - 2006
- [c3]Shanshan Jiang, Finn Arve Aagesen:
An Approach to Integrated Semantic Service Discovery. Autonomic Networking 2006: 159-171 - 2004
- [c2]Mazen Malek Shiaa, Shanshan Jiang, Paramai Supadulchai, Joan J. Vila-Armenegol:
AN XML-Based Framework for Dynamic Service Management. INTELLCOMM 2004: 273-280 - [c1]Shanshan Jiang, Cyril Carrez, Finn Arve Aagesen:
Automatic Translation of Service Specification to a Behavioral Type Language for Dynamic Service Verification. RISE 2004: 34-44
Coauthor Index
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