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Fang Hao

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2024
[j31]
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Jianan Zhang, Fang Hao, Xueyu Liu, Shupei Yao, Yongfei Wu, Ming Li, Wen Zheng:
Multi-scale multi-instance contrastive learning for whole slide image classification. Eng. Appl. Artif. Intell. 138: 109300 (2024)
[j30]
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Jianan Zhang, Yongfei Wu, Fang Hao, Xueyu Liu, Ming Li, Daoxiang Zhou, Wen Zheng:
Double similarities weighted multi-instance learning kernel and its application. Expert Syst. Appl. 238(Part B): 121900 (2024)
[j29]
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Yilin Chen, Xueyu Liu, Fang Hao, Wen Zheng, Xiaoshuang Zhou, Ming Li, Yongfei Wu, Chen Wang:
Classification and quantification of glomerular spike-like projections via deep residual multiple instance learning with multi-scale annotation. Multim. Tools Appl. 83(31): 76529-76549 (2024)
2023
[j28]
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Xueyu Liu, Yongfei Wu, Yilin Chen, Dongna Hui, Jianan Zhang, Fang Hao, Yuanyue Lu, Hangbei Cheng, Yue Zeng, Weixia Han, Chen Wang, Ming Li, Xiaoshuang Zhou, Wen Zheng:
Diagnosis of diabetic kidney disease in whole slide images via AI-driven quantification of pathological indicators. Comput. Biol. Medicine 166: 107470 (2023)
[j27]
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Hyunseok Chang, Fang Hao, Murali S. Kodialam, T. V. Lakshman, Sarit Mukherjee, Matteo Varvello:
Towards network-assisted publish-subscribe over wide area networks. Comput. Networks 231: 109702 (2023)
[j26]
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Ruili Wang, Xueyu Liu, Fang Hao, Xing Chen, Xinyu Li, Chen Wang, Dan Niu, Ming Li, Yongfei Wu:
Ada-CCFNet: Classification of multimodal direct immunofluorescence images for membranous nephropathy via adaptive weighted confidence calibration fusion network. Eng. Appl. Artif. Intell. 117(Part): 105637 (2023)
[j25]
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Fang Hao, Wei Wang, Run Li:
Robust Wideband Adaptive Beamforming With Adjustable Nulls in High Dynamic Scene. IEEE Commun. Lett. 27(11): 3053-3057 (2023)
[j24]
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Fang Hao, Qiuping Yang, Anjali Sharma, Vipin Balyan:
Mechanical equipment fault diagnosis based on wireless sensor network data fusion technology. Paladyn J. Behav. Robotics 14(1) (2023)
[j23]
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Qiuping Yang, Fang Hao:
Deep auto-encoder network for mechanical fault diagnosis of high-voltage circuit breaker operating mechanism. Paladyn J. Behav. Robotics 14(1) (2023)
2022
[j22]
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Liang Zhang, Ming Li, Yongfei Wu, Fang Hao, Chen Wang, Weixia Han, Dan Niu, Wen Zheng:
Classification of renal biopsy direct immunofluorescence image using multiple attention convolutional neural network. Comput. Methods Programs Biomed. 214: 106532 (2022)
[j21]
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Huanle Zhang, Mostafa Uddin, Fang Hao, Sarit Mukherjee, Prasant Mohapatra:
MAIDE: Augmented Reality (AR)-facilitated Mobile System for Onboarding of Internet of Things (IoT) Devices at Ease. ACM Trans. Internet Things 3(2): 16:1-16:21 (2022)
[j20]
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Hyunseok Chang, Matteo Varvello, Fang Hao, Sarit Mukherjee:
A Tale of Three Videoconferencing Applications: Zoom, Webex, and Meet. IEEE/ACM Trans. Netw. 30(5): 2343-2358 (2022)
2021
[j19]
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Xueyu Liu, Ming Li, Yongfei Wu, Yilin Chen, Fang Hao, Daoxiang Zhou, Chen Wang, Chuanfeng Ma, Guangze Shi, Xiaoshuang Zhou:
An efficient glomerular object locator for renal whole slide images using proposal-free network and dynamic scale evaluation method. AI Commun. 34(4): 245-258 (2021)
[j18]
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Xinyu Li, Ming Li, Yongfei Wu, Daoxiang Zhou, Tianyu Liu, Fang Hao, Junhong Yue, Qiyue Ma:
Accurate screw detection method based on faster R-CNN and rotation edge similarity for automatic screw disassembly. Int. J. Comput. Integr. Manuf. 34(11): 1177-1195 (2021)
2020
[j17]
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Fang Hao, Xingli Gan, Baoguo Yu:
Unambiguous Tracking Technique Based on Shape Code for BOC Signals. IEEE Access 8: 33954-33965 (2020)
[j16]
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  - journals/sensors/HaoYGJZHW20
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Fang Hao, Baoguo Yu, Xingli Gan, Ruicai Jia, Heng Zhang, Lu Huang, Boyuan Wang:
Unambiguous Acquisition/Tracking Technique Based on Sub-Correlation Functions for GNSS Sine-BOC Signals. Sensors 20(2): 485 (2020)
2019
[j15]
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Mingliang Xu, Fang Hao, Pei Lv, Lisha Cui, Shuo Zhang, Bing Zhou:
D-STC: Deep learning with spatio-temporal constraints for train drivers detection from videos. Pattern Recognit. Lett. 119: 222-228 (2019)
2018
[j14]
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Yong Chen, Fang Hao, Huanlin Liu:
No-Reference Image Quality Assessment and Application Based on Spatial Domain Coding. IEEE Access 6: 60456-60466 (2018)
2017
[j13]
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Fang Hao, Murali S. Kodialam, T. V. Lakshman, Sarit Mukherjee:
Online Allocation of Virtual Machines in a Distributed Cloud. IEEE/ACM Trans. Netw. 25(1): 238-249 (2017)
2016
[j12]
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Yaqin Li, Fang Hao:
Almost periodic dynamics of a delayed three-level food-chain model. Int. J. Control 89(10): 2040-2054 (2016)
[j11]
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Mingliang Xu, Pei Lv, Mingyuan Li, Fang Hao, Hongling Zhao, Bing Zhou, Yusong Lin, Li-Wei Zhou:
Medical image denoising by parallel non-local means. Neurocomputing 195: 117-122 (2016)
2015
[j10]
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Vijay Kumar Adhikari, Yang Guo, Fang Hao, Volker Hilt, Zhi-Li Zhang, Matteo Varvello, Moritz Steiner:
Measurement Study of Netflix, Hulu, and a Tale of Three CDNs. IEEE/ACM Trans. Netw. 23(6): 1984-1997 (2015)
2014
[j9]
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Zhao Li, Fang Hao:
Multi-scale and Multi-feature Segmentation of High Resolution Remote Sensing Image. J. Multim. 9(7): 948-954 (2014)
2013
[j8]
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Advait Abhay Dixit, Fang Hao, Sarit Mukherjee, T. V. Lakshman, Ramana Rao Kompella:
Towards an elastic distributed SDN controller. Comput. Commun. Rev. 43(4): 7-12 (2013)
2012
[j7]
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Fang Hao, Murali S. Kodialam, T. V. Lakshman, Haoyu Song:
Fast Dynamic Multiple-Set Membership Testing Using Combinatorial Bloom Filters. IEEE/ACM Trans. Netw. 20(1): 295-304 (2012)
[j6]
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Haoyu Song, Murali S. Kodialam, Fang Hao, T. V. Lakshman:
Efficient Trie Braiding in Scalable Virtual Routers. IEEE/ACM Trans. Netw. 20(5): 1489-1500 (2012)
2010
[j5]
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Fang Hao, T. V. Lakshman, Sarit Mukherjee, Haoyu Song:
Enhancing dynamic cloud-based services using network virtualization. Comput. Commun. Rev. 40(1): 67-74 (2010)
2007
[j4]
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Fang Hao, Murali S. Kodialam, T. V. Lakshman, Shantidev Mohanty:
Fast, memory efficient flow rate estimation using runs. IEEE/ACM Trans. Netw. 15(6): 1467-1477 (2007)
2005
[j3]
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Naeem Asghar, Randeep Bhatia, Rakesh Chandwani, Colin Corcoran, Fang Hao, Joseph Karwisch, Pramod V. Koppol, T. V. Lakshman, Michael P. Siesta, Stephen M. Zlatos:
iOptimize: A software capability for analyzing and optimizing connection-oriented data networks in real time. Bell Labs Tech. J. 9(4): 67-81 (2005)
2003
[j2]
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Fang Hao, Pramod V. Koppol:
An Internet scale simulation setup for BGP. Comput. Commun. Rev. 33(3): 43-57 (2003)
2002
[j1]
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Fang Hao, Ellen W. Zegura, Mostafa H. Ammar:
QoS routing for anycast communications: motivation and an architecture for DiffServ networks. IEEE Commun. Mag. 40(6): 48-56 (2002)

Conference and Workshop Papers

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2023
[c46]
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Hyunseok Chang, Fang Hao, Murali S. Kodialam, T. V. Lakshman, Sarit Mukherjee, Matteo Varvello:
Optimized SRv6 Multicasting for Network-Assisted Publish-Subscribe Systems. HPSR 2023: 1-6
[c45]
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Matteo Varvello, Fang Hao, David Holland, James M. Hughes, Sarit Mukherjee:
BIER-Like Multicast for Mobile Ad Hoc Networks. MILCOM 2023: 1-6
2022
[c44]
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Fang Hao, Murali S. Kodialam, Sarit Mukherjee, T. V. Lakshman:
A Data Analytics Based Approach to Cloud Resource Auto-Scaling. HPSR 2022: 224-231
[c43]
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Hyunseok Chang, Fang Hao, Murali S. Kodialam, T. V. Lakshman, Sarit Mukherjee, Matteo Varvello:
SNAPS: Seamless Network-Assisted Publish-Subscribe. IFIP Networking 2022: 1-9
2021
[c42]
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Hyunseok Chang, Matteo Varvello, Fang Hao, Sarit Mukherjee:
Can you see me now?: a measurement study of Zoom, Webex, and Meet. Internet Measurement Conference 2021: 216-228
2020
[c41]
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Hyunseok Chang, Fang Hao, T. V. Lakshman, Sarit Mukherjee, Limin Wang:
Cache-Friendly IP Reassembly Network Function. SOSR 2020: 69-75
2019
[c40]
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Mostafa Uddin, Murali S. Kodialam, Fang Hao, Sarit Mukherjee:
CLAP: Compact Labeling Scheme for Attribute-Based IoT Policy control. DCOSS 2019: 74-81
[c39]
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Huanle Zhang, Mostafa Uddin, Fang Hao, Sarit Mukherjee, Prasant Mohapatra:
AIDE: Augmented Onboarding of IoT Devices at Ease. HotMobile 2019: 123-128
2017
[c38]
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An Wang, Yang Guo, Songqing Chen, Fang Hao, T. V. Lakshman, Doug Montgomery, Kotikalapudi Sriram:
vPROM: VSwitch enhanced programmable measurement in SDN. ICNP 2017: 1-10
[c37]
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Hesham Mekky, Fang Hao, Sarit Mukherjee, T. V. Lakshman, Zhi-Li Zhang:
Network function virtualization enablement within SDN data plane. INFOCOM 2017: 1-9
2016
[c36]
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Jianxia Chen, Qin Fang, Yu Cheng, Pulin Gong, Fang Hao, Ji Ma, Jinyang You, Baoshuai Liu:
A novel public security cases knowledge navigation system based topic maps. ICNC-FSKD 2016: 2178-2183
[c35]
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Fang Hao, Murali S. Kodialam, T. V. Lakshman:
Optimizing restoration with segment routing. INFOCOM 2016: 1-9
[c34]
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Yang Zhang, Hesham Mekky, Zhi-Li Zhang, Fang Hao, Sarit Mukherjee, T. V. Lakshman:
SAMPO: Online subflow association for multipath TCP with partial flow records. INFOCOM 2016: 1-9
2015
[c33]
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An Wang, Yang Guo, Fang Hao, T. V. Lakshman, Songqing Chen:
UMON: flexible and fine grained traffic monitoring in open vSwitch. CoNEXT 2015: 15:1-15:7
[c32]
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Randeep Bhatia, Fang Hao, Murali S. Kodialam, T. V. Lakshman:
Optimized network traffic engineering using segment routing. INFOCOM 2015: 657-665
2014
[c31]
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Advait Abhay Dixit, Fang Hao, Sarit Mukherjee, T. V. Lakshman, Ramana Rao Kompella:
ElastiCon: an elastic distributed sdn controller. ANCS 2014: 17-28
[c30]
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An Wang, Yang Guo, Fang Hao, T. V. Lakshman, Songqing Chen:
Scotch: Elastically Scaling up SDN Control-Plane using vSwitch based Overlay. CoNEXT 2014: 403-414
[c29]
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Fang Hao, Murali S. Kodialam, T. V. Lakshman, Sarit Mukherjee:
Online allocation of virtual machines in a distributed cloud. INFOCOM 2014: 10-18
[c28]
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Hesham Mekky, Fang Hao, Sarit Mukherjee, Zhi-Li Zhang, T. V. Lakshman:
Application-aware data plane processing in SDN. HotSDN 2014: 13-18
2013
[c27]
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Fang Hao, Murali S. Kodialam, T. V. Lakshman, Krishna P. N. Puttaswamy:
Protecting cloud data using dynamic inline fingerprint checks. INFOCOM 2013: 2877-2885
[c26]
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Hitesh Khandelwal, Fang Hao, Sarit Mukherjee, Ramana Rao Kompella, T. V. Lakshman:
CobWeb: In-network cobbling of web traffic. Networking 2013: 1-9
[c25]
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Advait Abhay Dixit, Fang Hao, Sarit Mukherjee, T. V. Lakshman, Ramana Rao Kompella:
Towards an elastic distributed SDN controller. HotSDN 2013: 7-12
2012
[c24]
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Vijay Kumar Adhikari, Yang Guo, Fang Hao, Volker Hilt, Zhi-Li Zhang:
A tale of three CDNs: An active measurement study of Hulu and its CDNs. INFOCOM Workshops 2012: 7-12
[c23]
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Vijay Kumar Adhikari, Yang Guo, Fang Hao, Matteo Varvello, Volker Hilt, Moritz Steiner, Zhi-Li Zhang:
Unreeling netflix: Understanding and improving multi-CDN movie delivery. INFOCOM 2012: 1620-1628
2010
[c22]
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Fang Hao, T. V. Lakshman, Sarit Mukherjee, Haoyu Song:
Secure Cloud Computing with a Virtualized Network Infrastructure. HotCloud 2010
[c21]
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Haoyu Song, Murali S. Kodialam, Fang Hao, T. V. Lakshman:
Building Scalable Virtual Routers with Trie Braiding. INFOCOM 2010: 1442-1450
2009
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Haoyu Song, Murali S. Kodialam, Fang Hao, T. V. Lakshman:
Scalable IP Lookups using Shape Graphs. ICNP 2009: 73-82
[c19]
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Fang Hao, Murali S. Kodialam, T. V. Lakshman:
On-line Detection of Real Time Multimedia Traffic. ICNP 2009: 223-232
[c18]
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Fang Hao, Murali S. Kodialam, T. V. Lakshman, Haoyu Song:
Fast Multiset Membership Testing Using Combinatorial Bloom Filters. INFOCOM 2009: 513-521
[c17]
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Haoyu Song, Fang Hao, Murali S. Kodialam, T. V. Lakshman:
IPv6 Lookups using Distributed and Load Balanced Bloom Filters for 100Gbps Core Router Line Cards. INFOCOM 2009: 2518-2526
[c16]
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Fang Hao, LiHua Dou, Jie Chen:
Sliding angle reconstruction and robust lateral control of autonomous vehicles in presence of lateral disturbance. IROS 2009: 1891-1896
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Fang Hao, T. V. Lakshman, Sarit Mukherjee, Haoyu Song:
Enhancing dynamic cloud-based services using network virtualization. VISA 2009: 37-44
2008
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Chang-Jiang Liu, Fang Hao:
Distributive Justice and Cooperation in a Public Good Dilemma. CSSE (5) 2008: 87-90
[c13]
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Fang Hao, Murali S. Kodialam, T. V. Lakshman:
Incremental Bloom Filters. INFOCOM 2008: 1067-1075
2007
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Fang Hao, Murali S. Kodialam, T. V. Lakshman:
Building high accuracy bloom filters using partitioned hashing. SIGMETRICS 2007: 277-288
2006
[c11]
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Fang Hao, Murali S. Kodialam, T. V. Lakshman, Vivek Vishnumurthy, Hui Zhang:
Content Based Rate Estimation Using Lazy Membership Testing. INFOCOM 2006
2005
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Fang Hao, Hang Zhang, Xiaolan Fu:
Modulation of Attention by Faces Expressing Emotion: Evidence from Visual Marking. ACII 2005: 127-134
[c9]
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Fang Hao, Murali S. Kodialam, T. V. Lakshman, Hui Zhang:
Fast payload-based flow estimation for traffic monitoring and network security. ANCS 2005: 211-220
[c8]
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Fang Hao, Murali S. Kodialam, T. V. Lakshman, Hui Zhang:
Fast, memory-efficient traffic estimation by coincidence counting. INFOCOM 2005: 2080-2090
2004
[c7]
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Fang Hao, Murali S. Kodialam, T. V. Lakshman:
Real-Time Detection of Hidden Traffic Patterns. ICNP 2004: 340-349
[c6]
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Fang Hao, Murali S. Kodialam, T. V. Lakshman:
ACCEL-RATE: a faster mechanism for memory efficient per-flow traffic estimation. SIGMETRICS 2004: 155-166
2002
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Meng Guo, Mostafa H. Ammar, Ellen W. Zegura, Fang Hao:
A probe-based server selection protocol for differentiated service networks. ICC 2002: 2353-2357
2001
[c4]
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Fang Hao, Ellen W. Zegura, Mostafa H. Ammar:
Supporting Server Selection in Differentiated Service Networks. INFOCOM 2001: 659-668
2000
[c3]
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Fang Hao, Ellen W. Zegura:
On Scalable QoS Routing: Performance Evaluation of Topology Aggregation. INFOCOM 2000: 147-156
1998
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Fang Hao, Ioanis Nikolaidis, Ellen W. Zegura:
Efficient simulation of ATM networks with accurate end-to-end delay statistics. ICC 1998: 1799-1804
1996
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Fang Hao, Karen Wilson, Richard Fujimoto, Ellen W. Zegura:
Logical Process Size in Parallel Simulations. WSC 1996: 645-652

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2019
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Xiyan Sun, Fang Hao, Yuanfa Ji, Suqing Yan, Qinwen Miao, Qiang Fu:
A No-Ambiguity Acquisition Algorithm Based on Correlation Shift for BOC (N, N). Cognitive Internet of Things 2019: 401-412

Informal and Other Publications

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2021
[i2]
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  - journals/corr/abs-2109-13113
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Hyunseok Chang, Matteo Varvello, Fang Hao, Sarit Mukherjee:
Can You See Me Now? A Measurement Study of Zoom, Webex, and Meet. CoRR abs/2109.13113 (2021)
2020
[i1]
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  - journals/corr/abs-2007-00858
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Yilin Chen, Ming Li, Yongfei Wu, Xueyu Liu, Fang Hao, Daoxiang Zhou, Xiaoshuang Zhou, Chen Wang:
MSA-MIL: A deep residual multiple instance learning model based on multi-scale annotation for classification and visualization of glomerular spikes. CoRR abs/2007.00858 (2020)

Coauthor Index

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