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ORCIDKevin S. Chan
Kevin Sean Chan – Kevin Chan 0001
Person information
- affiliation: U.S. Army Research Laboratory, Adelphi, MD, USA
- affiliation (PhD): Georgia Institute of Technology, Atlanta, GA, USA
Other persons with the same name
- Kevin Chan — disambiguation page
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2020 – today
- 2024
[j47]Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad:
Complex network effects on the robustness of graph convolutional networks. Appl. Netw. Sci. 9(1): 5 (2024)- [j46]Benjamin A. Miller
, Kevin S. Chan, Tina Eliassi-Rad:
Using overlapping methods to counter adversaries in community detection. J. Complex Networks 12(4) (2024) - [j45]William Shiao, Benjamin A. Miller, Kevin Chan, Paul L. Yu, Tina Eliassi-Rad, Evangelos E. Papalexakis:
TenGAN: adversarially generating multiplex tensor graphs. Data Min. Knowl. Discov. 38(1): 1-21 (2024) - [c90]Abdulrahman Fahim, Shitong Zhu, Zhiyun Qian, Chengyu Song, Evangelos E. Papalexakis, Supriyo Chakraborty, Kevin S. Chan, Paul L. Yu, Trent Jaeger, Srikanth V. Krishnamurthy:
DNS Exfiltration Guided by Generative Adversarial Networks. EuroS&P 2024: 580-599 - [c89]Eric Graves, Jake B. Perazzone, Kevin S. Chan:
Optimal Update Policy for the Monitoring of Distributed Sources. ISIT 2024: 1385-1390 - [c88]Zhaofeng Zhang, Xuanli Lin, Guoliang Xue, Yanchao Zhang, Kevin S. Chan:
Joint Optimization of Task Offloading and Resource Allocation in Tactical Edge Networks. MILCOM 2024: 703-708 - [c87]Negar Erfaniantaghvayi, Zhongyuan Zhao, Kevin S. Chan, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Ant Backpressure Routing for Wireless Multi-hop Networks with Mixed Traffic Patterns. MILCOM 2024: 1174-1179 - [i38]Joshua C. Zhao, Saurabh Bagchi, Salman Avestimehr, Kevin S. Chan, Somali Chaterji, Dimitris Dimitriadis, Jiacheng Li, Ninghui Li, Arash Nourian, Holger R. Roth:
Federated Learning Privacy: Attacks, Defenses, Applications, and Policy Landscape - A Survey. CoRR abs/2405.03636 (2024) - [i37]Eric Graves, Jake B. Perazzone, Kevin S. Chan:
Optimal Update Policy for the Monitoring of Distributed Sources. CoRR abs/2405.11089 (2024) - [i36]Negar Erfaniantaghvayi, Zhongyuan Zhao, Kevin S. Chan, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Ant Backpressure Routing for Wireless Multi-hop Networks with Mixed Traffic Patterns. CoRR abs/2408.12702 (2024) - [i35]Yongsheng Mei, Liangqi Yuan, Dong-Jun Han, Kevin S. Chan, Christopher G. Brinton, Tian Lan:
Using Diffusion Models as Generative Replay in Continual Federated Learning - What will Happen? CoRR abs/2411.06618 (2024) - [i34]Rostyslav Olshevskyi, Zhongyuan Zhao, Kevin S. Chan, Gunjan Verma, Ananthram Swami, Santiago Segarra:
Fully Distributed Online Training of Graph Neural Networks in Networked Systems. CoRR abs/2412.06105 (2024) - [i33]Zhongyuan Zhao, Jake B. Perazzone, Gunjan Verma, Kevin S. Chan, Ananthram Swami, Santiago Segarra:
Joint Task Offloading and Routing in Wireless Multi-hop Networks Using Biased Backpressure Algorithm. CoRR abs/2412.15385 (2024) - 2023
- [j44]Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Don Towsley:
Use Coupled LSTM Networks to Solve Constrained Optimization Problems. IEEE Trans. Cogn. Commun. Netw. 9(2): 304-316 (2023) - [j43]Pradipta Ghosh, Jonathan Bunton, Dimitrios Pylorof, Marcos A. M. Vieira, Kevin Chan, Ramesh Govindan, Gaurav S. Sukhatme, Paulo Tabuada, Gunjan Verma:
Synthesis of Large-Scale Instant IoT Networks. IEEE Trans. Mob. Comput. 22(3): 1810-1824 (2023) - [j42]Kristina Sorensen Wheatman, Fidan Mehmeti, Mark Mahon, Hang Qiu, Kevin S. Chan, Thomas F. La Porta:
Optimal Resource Allocation for Crowdsourced Image Processing. IEEE Trans. Mob. Comput. 22(10): 6110-6125 (2023) - [c86]Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Patrick J. Baker:
Reinforcement Learning for Resource Allocation with Periodic Traffic Patterns. ICC Workshops 2023: 752-757 - [c85]Shiqiang Wang, Jake B. Perazzone, Mingyue Ji, Kevin S. Chan:
Federated Learning with Flexible Control. INFOCOM 2023: 1-10 - [c84]Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Patrick J. Baker:
Learning Technique to Solve Periodic Markov Decision Process for Network Resource Allocation. MILCOM 2023: 464-470 - [c83]Olena Tkachenko, Sean Harding, Cleon Anderson, Jake B. Perazzone, Matthew Dwyer, Kevin S. Chan:
Characterizing the Performance of Distributed Edge Processing Resource Allocation in Dynamic Networked Environments. MILCOM 2023: 888-893 - [c82]Ravdeep S. Pasricha, Uday Singh Saini, Nicholas D. Sidiropoulos, Fei Fang, Kevin Chan, Evangelos E. Papalexakis:
Harvester: Principled Factorization-based Temporal Tensor Granularity Estimation. SDM 2023: 82-90 - [c81]Yu Tsung Lee, Rahul George, Haining Chen, Kevin Chan, Trent Jaeger:
Triaging Android Systems Using Bayesian Attack Graphs. SecDev 2023: 171-183 - [i32]Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad:
Using Overlapping Methods to Counter Adversaries in Community Detection. CoRR abs/2308.03081 (2023) - [i31]Benjamin A. Miller, Kevin S. Chan, Tina Eliassi-Rad:
Complex Network Effects on the Robustness of Graph Convolutional Networks. CoRR abs/2308.05498 (2023) - [i30]Mustafa Abdallah, Saurabh Bagchi, Shaunak D. Bopardikar, Kevin Chan, Xing Gao, Murat Kantarcioglu, Congmiao Li, Peng Liu, Quanyan Zhu:
Game Theory in Distributed Systems Security: Foundations, Challenges, and Future Directions. CoRR abs/2309.01281 (2023) - 2022
- [j41]Kevin Chan, Peter Han Joo Chong, Nils Agne Nordbotten:
Series Editorial: Military Communications and Networks. IEEE Commun. Mag. 60(5): 58 (2022) - [j40]Gunjan Verma, Kelvin Marcus, Kevin S. Chan:
Optimizing the quality of information of networked machine learning agents. J. Netw. Comput. Appl. 197: 103243 (2022) - [j39]Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris:
Communication-Efficient $k$k-Means for Edge-Based Machine Learning. IEEE Trans. Parallel Distributed Syst. 33(10): 2509-2523 (2022) - [c80]Diego F. M. Oliveira, Kevin S. Chan, Peter J. Mucha:
The Effects of Message Sorting in the Diffusion of Information in Online Social Media. COMPLEX NETWORKS (1) 2022: 98-107 - [c79]Jake B. Perazzone, Shiqiang Wang, Mingyue Ji, Kevin S. Chan:
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization. INFOCOM 2022: 1449-1458 - [c78]John Corcoran, Eric Graves, Bryan Dawson, Matthew Dwyer, Paul L. Yu, Kevin Chan:
Adaptive Monitoring for Analytics Placement in Tactical Networks. MILCOM 2022: 926-931 - [c77]Jake B. Perazzone, Matthew Dwyer, Kevin S. Chan, Cleon Anderson, Scott E. Brown:
Enabling Machine Learning on Resource-constrained Tactical Networks. MILCOM 2022: 932-937 - [i29]Jake B. Perazzone, Shiqiang Wang, Mingyue Ji, Kevin Chan:
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization. CoRR abs/2201.07912 (2022) - [i28]Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijay Narayanan, Kevin S. Chan, Stephen Pasteris:
Joint Coreset Construction and Quantization for Distributed Machine Learning. CoRR abs/2204.06652 (2022) - [i27]Valentin Vie, Ryan Sheatsley, Sophia Beyda, Sushrut Shringarputale, Kevin S. Chan, Trent Jaeger, Patrick D. McDaniel:
Adversarial Plannning. CoRR abs/2205.00566 (2022) - [i26]Shiqiang Wang, Jake B. Perazzone, Mingyue Ji, Kevin S. Chan:
Federated Learning with Flexible Control. CoRR abs/2212.08496 (2022) - 2021
- [j38]Kevin Chan, Peter H. J. Chong, Frank T. Johnsen:
Series Editorial: Military Communications and Networks. IEEE Commun. Mag. 59(2): 35 (2021) - [j37]Kevin Chan, Peter H. J. Chong, Frank T. Johnsen:
Series Editorial: Military Communications and Networks. IEEE Commun. Mag. 59(8): 64 (2021) - [j36]Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad:
Nonbacktracking Eigenvalues under Node Removal: X-Centrality and Targeted Immunization. SIAM J. Math. Data Sci. 3(2): 656-675 (2021) - [j35]Pedro Cisneros-Velarde, Kevin S. Chan, Francesco Bullo:
Polarization and Fluctuations in Signed Social Networks. IEEE Trans. Autom. Control. 66(8): 3789-3793 (2021) - [j34]Zongqing Lu, Swati Rallapalli, Kevin Chan, Shiliang Pu, Thomas La Porta:
Augur: Modeling the Resource Requirements of ConvNets on Mobile Devices. IEEE Trans. Mob. Comput. 20(2): 352-365 (2021) - [j33]Noor Felemban, Fidan Mehmeti, Hana Khamfroush, Zongqing Lu, Swati Rallapalli, Kevin S. Chan, Thomas La Porta:
PicSys: Energy-Efficient Fast Image Search on Distributed Mobile Networks. IEEE Trans. Mob. Comput. 20(4): 1574-1589 (2021) - [j32]Vajiheh Farhadi, Fidan Mehmeti, Ting He, Thomas F. La Porta, Hana Khamfroush, Shiqiang Wang, Kevin S. Chan, Konstantinos Poularakis:
Service Placement and Request Scheduling for Data-Intensive Applications in Edge Clouds. IEEE/ACM Trans. Netw. 29(2): 779-792 (2021) - [c76]Shitong Zhu, Zhongjie Wang, Xun Chen, Shasha Li, Keyu Man, Umar Iqbal, Zhiyun Qian, Kevin S. Chan, Srikanth V. Krishnamurthy, Zubair Shafiq, Yu Hao, Guoren Li, Zheng Zhang, Xiaochen Zou:
Eluding ML-based Adblockers With Actionable Adversarial Examples. ACSAC 2021: 541-553 - [c75]Norman Jansen, Marco Manso, Andrew Toth, Kevin S. Chan, Trude Hafsøe Bloebaum, Frank T. Johnsen:
NATO Core Services profiling for Hybrid Tactical Networks - Results and Recommendations. ICMCIS 2021: 1-8 - [c74]Todd Huster, Jeremy E. J. Cohen, Zinan Lin, Kevin Chan, Charles A. Kamhoua, Nandi O. Leslie, Cho-Yu Jason Chiang, Vyas Sekar:
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions. ICML 2021: 4523-4532 - [c73]Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin Chan:
Robust Solutions to Constrained Optimization Problems by LSTM Networks. MILCOM 2021: 503-508 - [i25]Todd Huster, Jeremy E. J. Cohen, Zinan Lin, Kevin Chan, Charles A. Kamhoua, Nandi Leslie, Cho-Yu Jason Chiang, Vyas Sekar:
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions. CoRR abs/2101.09113 (2021) - [i24]Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris:
Communication-efficient k-Means for Edge-based Machine Learning. CoRR abs/2102.04282 (2021) - 2020
- [j31]Kevin S. Chan, Frank T. Johnsen:
Military Communications and Networks. IEEE Commun. Mag. 58(2): 60 (2020) - [j30]Kevin S. Chan, Frank T. Johnsen:
Military Communications and Networks. IEEE Commun. Mag. 58(8): 13 (2020) - [j29]Leo Torres, Kevin S. Chan, Tina Eliassi-Rad:
GLEE: Geometric Laplacian Eigenmap Embedding. J. Complex Networks 8(2) (2020) - [j28]Dimitrios Pylorof, Efstathios Bakolas, Kevin S. Chan:
Design of Robust Lyapunov-Based Observers for Nonlinear Systems With Sum-of-Squares Programming. IEEE Control. Syst. Lett. 4(2): 283-288 (2020) - [j27]Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijaykrishnan Narayanan, Kevin S. Chan:
Robust Coreset Construction for Distributed Machine Learning. IEEE J. Sel. Areas Commun. 38(10): 2400-2417 (2020) - [j26]Nitish K. Panigrahy, Prithwish Basu, Philippe Nain, Don Towsley, Ananthram Swami, Kevin S. Chan, Kin K. Leung:
Resource Allocation in One-dimensional Distributed Service Networks with Applications. Perform. Evaluation 142: 102110 (2020) - [j25]Zongqing Lu, Kevin Chan, Rahul Urgaonkar, Shiliang Pu, Thomas La Porta:
NetVision: On-Demand Video Processing in Wireless Networks. IEEE/ACM Trans. Netw. 28(1): 196-209 (2020) - [j24]Yilei Lin, Ting He, Shiqiang Wang, Kevin Chan, Stephen Pasteris:
Looking Glass of NFV: Inferring the Structure and State of NFV Network From External Observations. IEEE/ACM Trans. Netw. 28(4): 1477-1490 (2020) - [c72]Shitong Zhu, Shasha Li, Zhongjie Wang, Xun Chen, Zhiyun Qian, Srikanth V. Krishnamurthy, Kevin S. Chan, Ananthram Swami:
You do (not) belong here: detecting DPI evasion attacks with context learning. CoNEXT 2020: 183-197 - [c71]Shasha Li, Shitong Zhu, Sudipta Paul, Amit K. Roy-Chowdhury, Chengyu Song, Srikanth V. Krishnamurthy, Ananthram Swami, Kevin S. Chan:
Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency. ECCV (23) 2020: 396-413 - [c70]Zheyuan Ryan Shi, Ariel D. Procaccia, Kevin S. Chan, Sridhar Venkatesan, Noam Ben-Asher, Nandi O. Leslie, Charles A. Kamhoua, Fei Fang:
Learning and Planning in the Feature Deception Problem. GameSec 2020: 23-44 - [c69]Stephanie Milani, Weiran Shen, Kevin S. Chan, Sridhar Venkatesan, Nandi O. Leslie, Charles A. Kamhoua, Fei Fang:
Harnessing the Power of Deception in Attack Graph-Based Security Games. GameSec 2020: 147-167 - [c68]Yilei Lin, Ting He, Shiqiang Wang, Kevin S. Chan:
Waypoint-based Topology Inference. ICC 2020: 1-6 - [c67]Pradipta Ghosh, Jonathan Bunton, Dimitrios Pylorof, Marcos Augusto M. Vieira, Kevin Chan, Ramesh Govindan, Gaurav S. Sukhatme, Paulo Tabuada, Gunjan Verma:
Rapid Top-Down Synthesis of Large-Scale IoT Networks. ICCCN 2020: 1-9 - [c66]Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris:
Communication-efficient k-Means for Edge-based Machine Learning. ICDCS 2020: 595-605 - [c65]Claudia Szabo, Vanja Radenovic, Gregory Judd, Dustin Craggs, Kin Leong Lee, Xiaoshan Chen, Kevin Chan:
Optimizing Communication Strategies in Contested and Dynamic Environments. ICECCS 2020: 197-205 - [c64]Prithwish Basu, Theodoros Salonidis, Brent Kraczek, Sayed M. Saghaian N. E., Ali Sydney, Bongjun Ko, Tom La Porta, Kevin S. Chan:
Decentralized placement of data and analytics in wireless networks for energy-efficient execution. INFOCOM 2020: 486-495 - [c63]Zhongjie Wang, Shitong Zhu, Yue Cao, Zhiyun Qian, Chengyu Song, Srikanth V. Krishnamurthy, Kevin S. Chan, Tracy D. Braun:
SymTCP: Eluding Stateful Deep Packet Inspection with Automated Discrepancy Discovery. NDSS 2020 - [c62]Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris:
Joint Coreset Construction and Quantization for Distributed Machine Learning. Networking 2020: 172-180 - [c61]Kristina Sorensen Wheatman, Fidan Mehmeti, Mark Mahon, Hang Qiu, Kevin S. Chan, Thomas F. La Porta:
Optimal Resource Allocation for Crowdsourced Image Processing. SECON 2020: 1-9 - [i23]Shitong Zhu, Zhongjie Wang, Xun Chen, Shasha Li, Umar Iqbal, Zhiyun Qian, Kevin S. Chan, Srikanth V. Krishnamurthy, Zubair Shafiq:
A4 : Evading Learning-based Adblockers. CoRR abs/2001.10999 (2020) - [i22]Pradipta Ghosh, Jonathan Bunton, Dimitrios Pylorof, Marcos Augusto M. Vieira, Kevin S. Chan, Ramesh Govindan, Gaurav S. Sukhatme, Paulo Tabuada, Gunjan Verma:
Rapid Top-Down Synthesis of Large-Scale IoT Networks. CoRR abs/2002.04244 (2020) - [i21]Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad:
Node Immunization with Non-backtracking Eigenvalues. CoRR abs/2002.12309 (2020) - [i20]Benjamin A. Miller, Mustafa Çamurcu, Alexander J. Gomez, Kevin S. Chan, Tina Eliassi-Rad:
Topological Effects on Attacks Against Vertex Classification. CoRR abs/2003.05822 (2020) - [i19]Hanlin Lu, Changchang Liu, Ting He, Shiqiang Wang, Kevin S. Chan:
Sharing Models or Coresets: A Study based on Membership Inference Attack. CoRR abs/2007.02977 (2020) - [i18]Shasha Li, Shitong Zhu, Sudipta Paul, Amit K. Roy-Chowdhury, Chengyu Song, Srikanth V. Krishnamurthy, Ananthram Swami, Kevin S. Chan:
Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency. CoRR abs/2007.09763 (2020) - [i17]Shitong Zhu, Shasha Li, Zhongjie Wang, Xun Chen, Zhiyun Qian, Srikanth V. Krishnamurthy, Kevin S. Chan, Ananthram Swami:
You Do (Not) Belong Here: Detecting DPI Evasion Attacks with Context Learning. CoRR abs/2011.01514 (2020) - [i16]Nitish K. Panigrahy, Prithwish Basu, Philippe Nain, Don Towsley, Ananthram Swami, Kevin S. Chan, Kin K. Leung:
Resource Allocation in One-dimensional Distributed Service Networks with Applications. CoRR abs/2011.04893 (2020)
2010 – 2019
- 2019
- [j23]Frank T. Johnsen, Kevin S. Chan:
Military Communications and Networks. IEEE Commun. Mag. 57(8): 40 (2019) - [j22]Shiqiang Wang, Tiffany Tuor, Theodoros Salonidis, Kin K. Leung, Christian Makaya, Ting He, Kevin Chan:
Adaptive Federated Learning in Resource Constrained Edge Computing Systems. IEEE J. Sel. Areas Commun. 37(6): 1205-1221 (2019) - [j21]Zongqing Lu, Kevin S. Chan, Shiliang Pu, Thomas La Porta:
CrowdVision: A Computing Platform for Video Crowdprocessing Using Deep Learning. IEEE Trans. Mob. Comput. 18(7): 1513-1526 (2019) - [j20]Shiqiang Wang, Rahul Urgaonkar, Murtaza Zafer, Ting He, Kevin Chan, Kin K. Leung:
Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process. IEEE/ACM Trans. Netw. 27(3): 1272-1288 (2019) - [c60]Stephen Pasteris, Fabio Vitale, Kevin S. Chan, Shiqiang Wang, Mark Herbster:
MaxHedge: Maximizing a Maximum Online. AISTATS 2019: 1851-1859 - [c59]Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijaykrishnan Narayanan, Kevin S. Chan:
Robust Coreset Construction for Distributed Machine Learning. GLOBECOM 2019: 1-6 - [c58]Yilei Lin, Ting He, Shiqiang Wang, Kevin S. Chan, Stephen Pasteris:
Multicast-Based Weight Inference in General Network Topologies. ICC 2019: 1-6 - [c57]Anup K. Kalia, Nirav Ajmeri, Kevin S. Chan, Jin-Hee Cho, Sibel Adali, Munindar P. Singh:
The Interplay of Emotions and Norms in Multiagent Systems. IJCAI 2019: 371-377 - [c56]Vajiheh Farhadi, Fidan Mehmeti, Ting He, Tom La Porta, Hana Khamfroush, Shiqiang Wang, Kevin S. Chan:
Service Placement and Request Scheduling for Data-intensive Applications in Edge Clouds. INFOCOM 2019: 1279-1287 - [c55]Yilei Lin, Ting He, Shiqiang Wang, Kevin S. Chan, Stephen Pasteris:
Looking Glass of NFV: Inferring the Structure and State of NFV Network from External Observations. INFOCOM 2019: 1774-1782 - [c54]Nitish K. Panigrahy, Prithwish Basu, Philippe Nain, Don Towsley, Ananthram Swami, Kevin S. Chan, Kin K. Leung:
Resource Allocation in One-Dimensional Distributed Service Networks. MASCOTS 2019: 14-26 - [c53]Jongdeog Lee, Suk Min Hwang, Tarek F. Abdelzaher, Kelvin Marcus, Kevin Chan:
Pub/Sub-Sum: A Content Summarization Pub/Sub Protocol for Information-Centric Networks. MILCOM 2019: 847-852 - [c52]Xiaochen Liu, Pradipta Ghosh, Oytun Ulutan, B. S. Manjunath, Kevin S. Chan, Ramesh Govindan:
Caesar: cross-camera complex activity recognition. SenSys 2019: 232-244 - [c51]Konstantinos Poularakis, Qiaofeng Qin, Kelvin M. Marcus, Kevin S. Chan, Kin K. Leung, Leandros Tassiulas:
Hybrid SDN Control in Mobile Ad Hoc Networks. SMARTCOMP 2019: 110-114 - [i15]Nitish K. Panigrahy, Prithwish Basu, Don Towsley, Ananthram Swami, Kevin S. Chan, Kin K. Leung:
A queueing-theoretic model for resource allocation in one-dimensional distributed service network. CoRR abs/1901.02414 (2019) - [i14]Pedro Cisneros-Velarde, Kevin S. Chan, Francesco Bullo:
Polarization and Fluctuations in Signed Social Networks. CoRR abs/1902.00658 (2019) - [i13]Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijay Narayanan, Kevin S. Chan:
Robust Coreset Construction for Distributed Machine Learning. CoRR abs/1904.05961 (2019) - [i12]Zheyuan Ryan Shi, Ariel D. Procaccia, Kevin S. Chan, Sridhar Venkatesan, Noam Ben-Asher, Nandi O. Leslie, Charles A. Kamhoua, Fei Fang:
Learning and Planning in Feature Deception Games. CoRR abs/1905.04833 (2019) - [i11]Leo Torres, Kevin S. Chan, Tina Eliassi-Rad:
Geometric Laplacian Eigenmap Embedding. CoRR abs/1905.09763 (2019) - 2018
- [j19]Frank Trethan Johnsen, Kevin S. Chan:
Military Communications. IEEE Commun. Mag. 56(10): 142 (2018) - [j18]Tao Zhao, I-Hong Hou, Shiqiang Wang, Kevin Chan:
Red/LeD: An Asymptotically Optimal and Scalable Online Algorithm for Service Caching at the Edge. IEEE J. Sel. Areas Commun. 36(8): 1857-1870 (2018) - [j17]Nitish K. Panigrahy, Prithwish Basu, Don Towsley, Ananthram Swami, Kevin S. Chan, Kin K. Leung:
A queueing-theoretic model for resource allocation in one-dimensional distributed analytics network? SIGMETRICS Perform. Evaluation Rev. 46(2): 27-29 (2018) - [c50]Ashwin Bahulkar, Boleslaw K. Szymanski, Kevin S. Chan, Omar Lizardo:
Impact of Attributes on Group Formation. ASONAM 2018: 1250-1257 - [c49]Tiffany Tuor, Shiqiang Wang, Kin K. Leung, Kevin Chan:
Distributed Machine Learning in Coalition Environments: Overview of Techniques. FUSION 2018: 814-821 - [c48]Ertugrul N. Ciftcioglu, Rommie L. Hardy, Kevin S. Chan, Lisa Scott, Diego F. M. Oliveira, Gunjan Verma:
Chaff Allocation and Performance for Network Traffic Obfuscation. ICDCS 2018: 1565-1568 - [c47]Marco Manso, Frank T. Johnsen, Ketil Lund, Kevin S. Chan:
Using MQTT to support mobile tactical force situational awareness. ICMCIS 2018: 1-6 - [c46]Shiqiang Wang, Tiffany Tuor, Theodoros Salonidis, Kin K. Leung, Christian Makaya, Ting He, Kevin Chan:
When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning. INFOCOM 2018: 63-71 - [c45]Zongqing Lu, Kevin S. Chan, Thomas La Porta:
A Computing Platform for Video Crowdprocessing Using Deep Learning. INFOCOM 2018: 1430-1438 - [c44]Hang Qiu, Xiaochen Liu, Swati Rallapalli, Archith J. Bency, Kevin Chan, Rahul Urgaonkar, B. S. Manjunath, Ramesh Govindan:
Kestrel: Video Analytics for Augmented Multi-Camera Vehicle Tracking. IoTDI 2018: 48-59 - [c43]Gérôme Bovet, Kevin S. Chan:
Reinforcement Learning for Quality of Experience Optimization in Tactical Networks. MILCOM 2018: 1-6 - [c42]Kelvin Marcus, Kevin S. Chan, Rommie L. Hardy, Paul L. Yu:
An Environment for Tactical SDN Experimentation. MILCOM 2018: 1-9 - [c41]Gunjan Verma, Ertugrul N. Ciftcioglu, Ryan Sheatsley, Kevin S. Chan, Lisa Scott:
Network Traffic Obfuscation: An Adversarial Machine Learning Approach. MILCOM 2018: 1-6 - [i10]Spyridon Mastorakis, Kevin Chan, Bongjun Ko, Alexander Afanasyev, Lixia Zhang:
Experimentation With Fuzzy Interest Forwarding in Named Data Networking. CoRR abs/1802.03072 (2018) - [i9]Shiqiang Wang,