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Shanshan Jiang
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2020 – today
- 2024
- [j30]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) - [j29]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) - [j28]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) - [j27]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) - [j26]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) - [j25]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) - [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