Logical Process Size in Parallel Simulations. - Fang Hao; Karen Wilson; Richard Fujimoto; Ellen W. Zegura (WSC, 1996)

Efficient simulation of ATM networks with accurate end-to-end delay statistics. - Fang Hao; Ioanis Nikolaidis; Ellen W. Zegura (ICC, 1998)

On Scalable QoS Routing: Performance Evaluation of Topology Aggregation. - Fang Hao; Ellen W. Zegura (INFOCOM, 2000)

Supporting Server Selection in Differentiated Service Networks. - Fang Hao; Ellen W. Zegura; Mostafa H. Ammar (INFOCOM, 2001)

A probe-based server selection protocol for differentiated service networks. - Meng Guo 005; Mostafa H. Ammar; Ellen W. Zegura; Fang Hao (ICC, 2002)

QoS routing for anycast communications: motivation and an architecture for DiffServ networks. - Fang Hao; Ellen W. Zegura; Mostafa H. Ammar (IEEE Commun. Mag., 2002)

An Internet scale simulation setup for BGP. - Fang Hao; Pramod V. Koppol (Comput. Commun. Rev., 2003)

Real-Time Detection of Hidden Traffic Patterns. - Fang Hao; Murali S. Kodialam; T. V. Lakshman (ICNP, 2004)

ACCEL-RATE: a faster mechanism for memory efficient per-flow traffic estimation. - Fang Hao; Murali S. Kodialam; T. V. Lakshman (SIGMETRICS, 2004)

Modulation of Attention by Faces Expressing Emotion: Evidence from Visual Marking. - Fang Hao; Hang Zhang; Xiaolan Fu (ACII, 2005)

Fast payload-based flow estimation for traffic monitoring and network security. - Fang Hao; Murali S. Kodialam; T. V. Lakshman; Hui Zhang 002 (ANCS, 2005)

Fast, memory-efficient traffic estimation by coincidence counting. - Fang Hao; Murali S. Kodialam; T. V. Lakshman; Hui Zhang 002 (INFOCOM, 2005)

iOptimize: A software capability for analyzing and optimizing connection-oriented data networks in real time. - Naeem Asghar; Randeep Bhatia; Rakesh Chandwani; Colin Corcoran; Fang Hao; Joseph Karwisch; Pramod V. Koppol; T. V. Lakshman; Michael P. Siesta; Stephen M. Zlatos (Bell Labs Tech. J., 2005)

Content Based Rate Estimation Using Lazy Membership Testing. - Fang Hao; Murali S. Kodialam; T. V. Lakshman; Vivek Vishnumurthy; Hui Zhang 002 (INFOCOM, 2006)

Building high accuracy bloom filters using partitioned hashing. - Fang Hao; Murali S. Kodialam; T. V. Lakshman (SIGMETRICS, 2007)

Fast, memory efficient flow rate estimation using runs. - Fang Hao; Murali S. Kodialam; T. V. Lakshman; Shantidev Mohanty (IEEE/ACM Trans. Netw., 2007)

Distributive Justice and Cooperation in a Public Good Dilemma. - Chang-Jiang Liu; Fang Hao (CSSE (5), 2008)

Incremental Bloom Filters. - Fang Hao; Murali S. Kodialam; T. V. Lakshman (INFOCOM, 2008)

On-line Detection of Real Time Multimedia Traffic. - Fang Hao; Murali S. Kodialam; T. V. Lakshman (ICNP, 2009)

Scalable IP Lookups using Shape Graphs. - Haoyu Song 001; Murali S. Kodialam; Fang Hao; T. V. Lakshman (ICNP, 2009)

Fast Multiset Membership Testing Using Combinatorial Bloom Filters. - Fang Hao; Murali S. Kodialam; T. V. Lakshman; Haoyu Song 001 (INFOCOM, 2009)

IPv6 Lookups using Distributed and Load Balanced Bloom Filters for 100Gbps Core Router Line Cards. - Haoyu Song 001; Fang Hao; Murali S. Kodialam; T. V. Lakshman (INFOCOM, 2009)

Sliding angle reconstruction and robust lateral control of autonomous vehicles in presence of lateral disturbance. - Fang Hao; LiHua Dou; Jie Chen 003 (IROS, 2009)

Secure Cloud Computing with a Virtualized Network Infrastructure. - Fang Hao; T. V. Lakshman; Sarit Mukherjee; Haoyu Song 001 (HotCloud, 2010)

Building Scalable Virtual Routers with Trie Braiding. - Haoyu Song 001; Murali S. Kodialam; Fang Hao; T. V. Lakshman (INFOCOM, 2010)

Enhancing dynamic cloud-based services using network virtualization. - Fang Hao; T. V. Lakshman; Sarit Mukherjee; Haoyu Song 001 (Comput. Commun. Rev., 2010)

A tale of three CDNs: An active measurement study of Hulu and its CDNs. - Vijay Kumar Adhikari; Yang Guo; Fang Hao; Volker Hilt; Zhi-Li Zhang (INFOCOM Workshops, 2012)

Unreeling netflix: Understanding and improving multi-CDN movie delivery. - Vijay Kumar Adhikari; Yang Guo 001; Fang Hao; Matteo Varvello; Volker Hilt; Moritz Steiner; Zhi-Li Zhang (INFOCOM, 2012)

Fast Dynamic Multiple-Set Membership Testing Using Combinatorial Bloom Filters. - Fang Hao; Murali S. Kodialam; T. V. Lakshman; Haoyu Song 001 (IEEE/ACM Trans. Netw., 2012)

Efficient Trie Braiding in Scalable Virtual Routers. - Haoyu Song 001; Murali S. Kodialam; Fang Hao; T. V. Lakshman (IEEE/ACM Trans. Netw., 2012)

Protecting cloud data using dynamic inline fingerprint checks. - Fang Hao; Murali S. Kodialam; T. V. Lakshman; Krishna P. N. Puttaswamy (INFOCOM, 2013)

CobWeb: In-network cobbling of web traffic. - Hitesh Khandelwal; Fang Hao; Sarit Mukherjee; Ramana Rao Kompella; T. V. Lakshman (Networking, 2013)

Towards an elastic distributed SDN controller. - Advait Abhay Dixit; Fang Hao; Sarit Mukherjee; T. V. Lakshman; Ramana Rao Kompella (Comput. Commun. Rev., 2013)

ElastiCon: an elastic distributed sdn controller. - Advait Abhay Dixit; Fang Hao; Sarit Mukherjee; T. V. Lakshman; Ramana Rao Kompella (ANCS, 2014)

Scotch: Elastically Scaling up SDN Control-Plane using vSwitch based Overlay. - An Wang 002; Yang Guo 001; Fang Hao; T. V. Lakshman; Songqing Chen (CoNEXT, 2014)

Application-aware data plane processing in SDN. - Hesham Mekky; Fang Hao; Sarit Mukherjee; Zhi-Li Zhang; T. V. Lakshman (HotSDN, 2014)

Multi-scale and Multi-feature Segmentation of High Resolution Remote Sensing Image. - Zhao Li; Fang Hao (J. Multim., 2014)

UMON: flexible and fine grained traffic monitoring in open vSwitch. - An Wang 002; Yang Guo 001; Fang Hao; T. V. Lakshman; Songqing Chen (CoNEXT, 2015)

Optimized network traffic engineering using segment routing. - Randeep Bhatia; Fang Hao; Murali S. Kodialam; T. V. Lakshman (INFOCOM, 2015)

Measurement Study of Netflix, Hulu, and a Tale of Three CDNs. - Vijay Kumar Adhikari; Yang Guo 001; Fang Hao; Volker Hilt; Zhi-Li Zhang; Matteo Varvello; Moritz Steiner (IEEE/ACM Trans. Netw., 2015)

A novel public security cases knowledge navigation system based topic maps. - Jianxia Chen; Qin Fang; Yu Cheng; Pulin Gong; Fang Hao; Ji Ma; Jinyang You; Baoshuai Liu (ICNC-FSKD, 2016)

Optimizing restoration with segment routing. - Fang Hao; Murali S. Kodialam; T. V. Lakshman (INFOCOM, 2016)

SAMPO: Online subflow association for multipath TCP with partial flow records. - Yang Zhang 006; Hesham Mekky; Zhi-Li Zhang; Fang Hao; Sarit Mukherjee; T. V. Lakshman (INFOCOM, 2016)

Almost periodic dynamics of a delayed three-level food-chain model. - Yaqin Li; Fang Hao (Int. J. Control, 2016)

Medical image denoising by parallel non-local means. - Mingliang Xu 001; Pei Lv; Mingyuan Li; Fang Hao; Hongling Zhao; Bing Zhou 003; Yusong Lin; Li-Wei Zhou (Neurocomputing, 2016)

vPROM: VSwitch enhanced programmable measurement in SDN. - An Wang 002; Yang Guo 001; Songqing Chen; Fang Hao; T. V. Lakshman; Doug Montgomery; Kotikalapudi Sriram (ICNP, 2017)

Network function virtualization enablement within SDN data plane. - Hesham Mekky; Fang Hao; Sarit Mukherjee; T. V. Lakshman; Zhi-Li Zhang (INFOCOM, 2017)

Online Allocation of Virtual Machines in a Distributed Cloud. - Fang Hao; Murali S. Kodialam; T. V. Lakshman; Sarit Mukherjee (IEEE/ACM Trans. Netw., 2017)

No-Reference Image Quality Assessment and Application Based on Spatial Domain Coding. - Yong Chen 007; Fang Hao; Huanlin Liu (IEEE Access, 2018)

CLAP: Compact Labeling Scheme for Attribute-Based IoT Policy control. - Mostafa Uddin; Murali S. Kodialam; Fang Hao; Sarit Mukherjee (DCOSS, 2019)

AIDE: Augmented Onboarding of IoT Devices at Ease. - Huanle Zhang; Mostafa Uddin; Fang Hao; Sarit Mukherjee; Prasant Mohapatra (HotMobile, 2019)

D-STC: Deep learning with spatio-temporal constraints for train drivers detection from videos. - Mingliang Xu 001; Fang Hao; Pei Lv; Lisha Cui; Shuo Zhang 014; Bing Zhou 003 (Pattern Recognit. Lett., 2019)

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

Cache-Friendly IP Reassembly Network Function. - Hyunseok Chang; Fang Hao; T. V. Lakshman; Sarit Mukherjee; Limin Wang 010 (SOSR, 2020)

Unambiguous Tracking Technique Based on Shape Code for BOC Signals. - Fang Hao; Xingli Gan; Baoguo Yu (IEEE Access, 2020)

MSA-MIL: A deep residual multiple instance learning model based on multi-scale annotation for classification and visualization of glomerular spikes. - Yilin Chen; Ming Li; Yongfei Wu; Xueyu Liu; Fang Hao; Daoxiang Zhou; Xiaoshuang Zhou; Chen Wang (CoRR, 2020)

Unambiguous Acquisition/Tracking Technique Based on Sub-Correlation Functions for GNSS Sine-BOC Signals. - Fang Hao; Baoguo Yu; Xingli Gan; Ruicai Jia; Heng Zhang; Lu Huang 001; Boyuan Wang (Sensors, 2020)

Can you see me now?: a measurement study of Zoom, Webex, and Meet. - Hyunseok Chang; Matteo Varvello; Fang Hao; Sarit Mukherjee (Internet Measurement Conference, 2021)

An efficient glomerular object locator for renal whole slide images using proposal-free network and dynamic scale evaluation method. - Xueyu Liu; Ming Li; Yongfei Wu; Yilin Chen; Fang Hao; Daoxiang Zhou; Chen Wang; Chuanfeng Ma; Guangze Shi; Xiaoshuang Zhou (AI Commun., 2021)

Accurate screw detection method based on faster R-CNN and rotation edge similarity for automatic screw disassembly. - Xinyu Li; Ming Li; Yongfei Wu; Daoxiang Zhou; Tianyu Liu; Fang Hao; Junhong Yue; Qiyue Ma (Int. J. Comput. Integr. Manuf., 2021)

A Data Analytics Based Approach to Cloud Resource Auto-Scaling. - Fang Hao; Murali S. Kodialam; Sarit Mukherjee; T. V. Lakshman (HPSR, 2022)

SNAPS: Seamless Network-Assisted Publish-Subscribe. - Hyunseok Chang; Fang Hao; Murali S. Kodialam; T. V. Lakshman; Sarit Mukherjee; Matteo Varvello (IFIP Networking, 2022)

Classification of renal biopsy direct immunofluorescence image using multiple attention convolutional neural network. - Liang Zhang; Ming Li; Yongfei Wu; Fang Hao; Chen Wang; Weixia Han; Dan Niu; Wen Zheng (Comput. Methods Programs Biomed., 2022)

MAIDE: Augmented Reality (AR)-facilitated Mobile System for Onboarding of Internet of Things (IoT) Devices at Ease. - Huanle Zhang; Mostafa Uddin; Fang Hao; Sarit Mukherjee; Prasant Mohapatra (ACM Trans. Internet Things, 2022)

A Tale of Three Videoconferencing Applications: Zoom, Webex, and Meet. - Hyunseok Chang; Matteo Varvello; Fang Hao; Sarit Mukherjee (IEEE/ACM Trans. Netw., 2022)

Optimized SRv6 Multicasting for Network-Assisted Publish-Subscribe Systems. - Hyunseok Chang; Fang Hao; Murali S. Kodialam; T. V. Lakshman; Sarit Mukherjee; Matteo Varvello (HPSR, 2023)

BIER-Like Multicast for Mobile Ad Hoc Networks. - Matteo Varvello; Fang Hao; David Holland; James M. Hughes; Sarit Mukherjee (MILCOM, 2023)

Ada-CCFNet: Classification of multimodal direct immunofluorescence images for membranous nephropathy via adaptive weighted confidence calibration fusion network. - Ruili Wang; Xueyu Liu; Fang Hao; Xing Chen; Xinyu Li; Chen Wang; Dan Niu; Ming Li; Yongfei Wu (Eng. Appl. Artif. Intell., 2023)

Mechanical equipment fault diagnosis based on wireless sensor network data fusion technology. - Fang Hao; Qiuping Yang; Anjali Sharma; Vipin Balyan (Paladyn J. Behav. Robotics, 2023)

Deep auto-encoder network for mechanical fault diagnosis of high-voltage circuit breaker operating mechanism. - Qiuping Yang; Fang Hao (Paladyn J. Behav. Robotics, 2023)

Towards network-assisted publish-subscribe over wide area networks. - Hyunseok Chang; Fang Hao; Murali S. Kodialam; T. V. Lakshman; Sarit Mukherjee; Matteo Varvello (Comput. Networks, 2023)

Diagnosis of diabetic kidney disease in whole slide images via AI-driven quantification of pathological indicators. - Xueyu Liu; Yongfei Wu; Yilin Chen; Dongna Hui; Jianan Zhang; Fang Hao; Yuanyue Lu; Hangbei Cheng; Yue Zeng; Weixia Han; Chen Wang; Ming Li; et al. (Comput. Biol. Medicine, 2023)

Robust Wideband Adaptive Beamforming With Adjustable Nulls in High Dynamic Scene. - Fang Hao; Wei Wang 076; Run Li (IEEE Commun. Lett., 2023)

Multi-scale multi-instance contrastive learning for whole slide image classification. - Jianan Zhang; Fang Hao; Xueyu Liu; Shupei Yao; Yongfei Wu; Ming Li; Wen Zheng (Eng. Appl. Artif. Intell., 2024)

MLW-BFECF: A Multi-Weighted Dynamic Cascade Forest Based on Bilinear Feature Extraction for Predicting the Stage of Kidney Renal Clear Cell Carcinoma on Multi-Modal Gene Data. - Liye Jia; Liancheng Jiang; Junhong Yue; Fang Hao; Yongfei Wu; Xilin Liu (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Double similarities weighted multi-instance learning kernel and its application. - Jianan Zhang; Yongfei Wu; Fang Hao; Xueyu Liu; Ming Li; Daoxiang Zhou; Wen Zheng (Expert Syst. Appl., 2024)

Classification and quantification of glomerular spike-like projections via deep residual multiple instance learning with multi-scale annotation. - Yilin Chen; Xueyu Liu; Fang Hao; Wen Zheng; Xiaoshuang Zhou; Ming Li; Yongfei Wu; Chen Wang (Multim. Tools Appl., 2024)

Plug-and-Play PPO: An Adaptive Point Prompt Optimizer Making SAM Greater. - Xueyu Liu; Rui Wang; Yexin Lai; Guangze Shi; Feixue Shao; Fang Hao; Jianan Zhang; Jia Shen; Yongfei Wu; Wen Zheng (CVPR, 2025)

Tree Embedding Based Mapping System for Low-Latency Mobile Applications in Multi-Access Networks. - Yu Mi; Randeep Bhatia; Fang Hao; An Wang; Steven A. Benno; T. V. Lakshman (INFOCOM, 2025)

A unified optimization method for non-uniform core configuration of corrugated sandwich panel. - Weilin Lai; Hui Li; Fang Hao; Hu Wang 002 (Adv. Eng. Softw., 2025)

Impact of electric vehicle charging demand on clean energy regional power grid control. - Fang Hao (Energy Inform., 2025)