Copyright notice: The papers are listed here to ensure timely dissemination of scholarly and technical work. Copyright and all other rights therein are retained by the copyright holders and the authors.

 

Edited Book

 

·       Hai Liu, Y.W. Leung, and X.-W. Chu, Ad Hoc and Sensor Wireless Networks: Architectures, Algorithms and Protocols, eISBN: 978-1-60805-018-5, Bentham Science, 2009.

 

Book Chapters

 

·       Y. Jiang, M. Shi, X. Shen, C. Lin, and X.-W. Chu, “A Broadcasting Authentication Protocol with DoS & Fault Tolerance for Wireless Ad Hoc Networks,” in Security in RFID and Sensor Networks. CRC Press, Taylor&Francis Group, Edited by Y. Zhang and P. Kitsos, April 2009.

·       X.-W. Chu, J. Liu, and Y. Sun, “Address Allocation Mechanisms for Mobile Ad Hoc Networks,” in Handbook of Wireless Ad Hoc and Sensor Networks, Edited by S. Misra, I. Woungang, S. C. Misra, Springer, 2008.

·       Weizhao Wang, Xiangyang Li, and X-W. Chu, “Nash Equilibria and Dominant Strategies in Routing,” in Encyclopedia of Algorithms, Springer, 2008, Edited by Ming-Yang Kao.

·       Z. Zhang, X.-W. Chu, B. Li, Y. Zhang, and N. Ghani, “Optical Virtual Private Network (OVPN): an Overview,” IEC Annual Review of Communications, Vol. 57, 2004.

·       X.-W. Chu, B. Li, and K. Sohraby, “Routing and Wavelength Assignment versus Wavelength Converter Placement in All-Optical Networks,” in Handbook on Optical Communication Networks, CRC press, April 2003.

 

Systems for Machine Learning / Deep Learning

 

·       S. Shi, Q. Wang, K. Zhao, Z. Tang, Y. Wang, X. Huang, and X.-W. Chu, “A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks,” arXiv:1901.04359.

·       S. Shi, X.-W. Chu, and B. Li, “MG-WFBP: Efficient Data Communication for Distributed Synchronous SGD Algorithms,” IEEE INFOCOM 2019, Paris, France, May 2019. [PrePrint]

·       X. Jia, S. Song, S. Shi, W. He, Y. Wang, H. Rong, F. Zhou, L. Xie, Z. Guo, Y. Yang, L. Yu, T. Chen, G. Hu, and X.-W. Chu, “Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes,” Workshop on Systems for ML and Open Source Software, collocated with NeurIPS 2018, Montreal, Canada, Dec 2018. [PDF]

·       S. Shi, Q. Wang, X.-W. Chu, and B. Li, “A DAG Model of Synchronous Stochastic Gradient Descent in Distributed Deep Learning,” IEEE International Conference on Parallel and Distributed Systems (ICPADS) 2018, Singapore, Dec 2018.

·       S. Shi, Q. Wang, and X.-W. Chu, “Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs,” IEEE DataCom 2018, Athens, Greece, August 2018. (Best Paper Award)

·       S. Shi, P. Xu, and X.-W. Chu, “Supervised Learning Based Algorithm Selection for Deep Neural Networks,” IEEE ICPADS 2017, Shenzhen, China, Dec 2017.

·       P. Xu, S. Shi, and X.-W. Chu, Performance Evaluation of Deep Learning Tools in Docker Containers, the 3rd International Conference on Big Data Computing and Communications, Chengdu, China, Aug 2017.

·       S. Shi, Q. Wang, P. Xu, and X.-W. Chu, Benchmarking State-of-the-Art Deep Learning Software Tools, the 7th International Conference on Cloud Computing and Big Data (CCBD 2016), Macau, China, Nov 2016.

 

GPU Computing

 

·       Q. Wang and X.-W. Chu, “GPGPU Performance Estimation with Core and Memory Frequency Scaling,” IEEE International Conference on Parallel and Distributed Systems (ICPADS) 2018, Singapore, Dec 2018. [A poster of this work has been presented at The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC18), Dallas, USA, Nov 2018.]

·       C. Liu, Q. Wang, X.-W. Chu, and Y.-W. Leung, “G-CRS: GPU Accelerated Cauchy Reed-Solomon Coding,” IEEE Transactions on Parallel and Distributed Systems, Vol. 29, No. 7, pages 1482-1498, July 2018.

·       Q. Wang and X.-W. Chu, “GPGPU Power Estimation with Core and Memory Frequency Scaling,” GreenMetrics 2017, in conjunction with ACM Sigmetrics 2017, Urbana-Champaign, IL, USA June 2017. [PDF]

·       Q. Wang, P. Xu, Y. Zhang, and X.-W. Chu, “EPPMiner: An Extended Benchmark Suite for Energy, Power and Performance Characterization of Heterogeneous Architecture,” ACM e-Energy 2017, Hong Kong, May 2017. [PDF]

·       V. Chau, X.-W. Chu, H. Liu, and Y.-W. Leung, “Energy Efficient Job Scheduling with DVFS for CPU-GPU Heterogeneous Systems,” ACM e-Energy 2017, Hong Kong, May 2017. [PDF]

·       X. Mei, X.-W. Chu, H. Liu, Y.-W. Leung, and Z. Li, “Energy Efficient Real-time Task Scheduling on CPU-GPU Hybrid Clusters,” IEEE INFOCOM 2017, GA, USA, May 2017. (Acceptance rate = 20.93%) [PDF]

·       X. Mei and X.-W. Chu, “Dissecting GPU Memory Hierarchy through Microbenchmarking,” IEEE Transactions on Parallel and Distributed Systems, Vol. 28. No. 1, pages 72-86, Jan 2017. [Source Code][Preprint]

·       X. Mei, Q. Wang, and X.-W. Chu, “A Survey and Measurement Study of GPU DVFS on Energy Conservation,” Digital Communications and Networks, 2017 [Preprint]

·       X.-W. Chu, C. Liu, K. Ouyang, L. S. Yung, H. Liu, and Y.-W. Leung, “PErasure: a Parallel Cauchy Reed-Solomon Coding Library for GPUs,” IEEE ICC 2015, London, UK, June 2015. [PDF] [Demo Code]

·       X. Mei, K. Zhao, C. Liu, and X.-W. Chu, “Benchmarking the Memory Hierarchy of Modern GPUs,” the 11th IFIP International Conference on Network and Parallel Computing (NPC 2014), Taiwan, September 2014. [PDF]

·       K. Zhao and X.-W. Chu, “G-BLASTN: Accelerating Nucleotide Alignment by Graphics Processors,” Bioinformatics, 30(10):1384-91, May 2014. [Preprint] [To get the final version, please access through Bioinformatics] [Website of G-BLASTN]

·       Y. Li, H. Chi, L. Xia, and X.-W. Chu, “Accelerating the Scoring Module of Mass Spectrometry-Based Protein Identification Using GPUs,” BMC Bioinformatics, 15:121, April 2014. [Open Access]

·       Q. Li, C. Zhong, K. Li, G. Zhang, X. Lu, Q. Zhang, K. Zhao and X.-W. Chu, “A Parallel Lattice Boltzmann Method for Large Eddy Simulation on Multiple GPUs,” Springer Computing Journal, Vol. 96, No. 6, Page 479-501, 2014. [PDF]

·       X. Mei, L. Yung, K. Zhao, and X.-W. Chu, “A Measurement Study of GPU DVFS on Energy Conservation,” USENIX HotPower’13, co-located with the 24th ACM Symposium on Operating Systems Principles (SOSP), Pennsylvania, USA, November 2013. [PDF]

·       Y. Li, K. Zhao, X.-W. Chu, and Jiming Liu, “Speeding up K-Means Algorithm by GPUs,” Journal of Computer and System Science, Vol. 79, No. 2, pages 216-229, March 2013. [PDF]

·       Y. Li, L. Xia, H. Chi, and X.-W. Chu, “Accelerating Mass Spectrometry-Based Protein Identification Using GPUs,” Poster, RECOMB 2013, Beijing, China. [PDF]

·       K. Zhao and X.-W. Chu, “GPU-BLASTN: Accelerating Nucleotide Sequence Alignment by GPUs,” Poster, RECOMB 2013, Beijing, China. [PDF]

·       X.-W. Chu, K. Zhao, and Z. Li, “Tsunami: Massively Parallel Homomorphic Hashing on Many-core GPUs,” Concurrency and Computation: Practice & Experience, Vol. 24, No. 7, pages 2028-2039,  Dec 2012. (online). [PDF]

·       Q. Li, C. Zhong, K. Li, G. Zhang, X. Lu, Q. Zhang, K. Zhao and X.-W. Chu, “Implementation of a Lattice Boltzmann Method for Large Eddy Simulation on Multiple GPUs,” The third International Workshop on Frontier of GPU Computing, Liverpool, UK, June 2012. [PDF]

·       Q. Li, C. Zhong, K. Zhao, X. Mei and X.-W. Chu, “Implementation and Analysis of AES Encryption on GPU,” The third International Workshop on Frontier of GPU Computing, Liverpool, UK, June 2012. [PDF]

·       Y. Li and X.-W. Chu, “Speeding up Scoring Module of Mass Spectrometry Based Protein Identification by GPU,” The Fifth International Symposium on Advances of High Performance Computing and Networking, Liverpool, UK, June 2012. [PDF]

·       C.-M. Liu, T. Wong, E. Wu, R. Luo, S.-M. Yiu, Y. Li, B. Wang, C. Yu, X.-W. Chu, K. Zhao, R. Li, T.-W. Lam, “SOAP3: Ultra-fast GPU-based parallel alignment tool for short reads,” Applications Note, Bioinformatics, January 2012. [PDF] [SOAP3]

·       Y. Li, K. Zhao, X.-W. Chu, and Jiming Liu, “Speeding up K-Means Algorithm by GPUs,” IEEE CIT 2010, July 2010, Bradford, UK. (Best Paper Award. 2 out of 485 submissions.) [PDF]

·       K. Zhao and X.-W. Chu, “GPUMP: a Multiple-Precision Integer Library for GPUs,” The 1st International Workshop on Frontier of GPU Computing, Bradford, UK, June-July 2010. [PDF]

·       X.-W. Chu, K. Zhao, and M. Wang, “Accelerating Network Coding on Many-core GPUs and Multi-core CPUs,” Journal of Communications, Special Issue on Network Coding and Applications, Vol 4, No 11 (2009), pages 902-909, Dec 2009. [OPEN ACCESS]

·       K. Zhao, X.-W. Chu, M. Wang, and Y. Jiang, “Speeding Up Homomorphic Hashing Using GPUs,” IEEE ICC’09, Dresden, Germany, June 2009.

·       X.-W. Chu, K. Zhao, and M. Wang, “Practical Random Linear Network Coding on GPUs”, IFIP Networking’09, Archen, Germany, May 2009. (Acceptance rate = 21.5%) [PDF]

·       X.-W. Chu, K. Zhao, and M. Wang, “Massively Parallel Network Coding on GPUs,” IEEE IPCCC’08, Austin, Texas, USA, Dec 2008. [PDF]

 

Wireless Networks

 

·       H. Zhao, H. Liu, Y.-W. Leung, and X.-W. Chu, “Self-Adaptive Collective Motion of Swarm Robots,” IEEE Transactions on Automation Science and Engineering, Vol. 15, No. 4, pages 1533-1545, October 2018.

·       Z. Lin, H. Liu, L. Yu, Y.-W. Leung, and X.-W. Chu, “ZOS: A Fast Rendezvous Algorithm Based on Set of Available Channels for Cognitive Radios,” IEEE PIMRC 2018, Bologna, Italy, Sept. 2018.

·       O. Oshiga, X.-W. Chu, Y.-W. Leung, and J. Ng, “Anchor Selection for Localization in Large Indoor Venue,” IEEE/ACM 26th International Symposium on Quality of Service (IWQoS), Banff, Canada, June 2018.

·       L. Yu, H. Liu, Y.-W. Leung, X.-W. Chu, and Z. Lin, “Cooperative Rendezvous Protocol for Multiple User-Pairs in Cognitive Radio Networks,” IEEE Wireless Communications and Networking Conference, Barcelona, Spain, April 2018.

·       F. Zhang, H. Liu, Y.-W. Leung, X.-W. Chu, and B. Jin, “CBS: Community-based Bus System as Routing Backbone for Vehicular Ad Hoc Networks,” IEEE Transactions on Mobile Computing, Vol. 16, No. 8, pages 2132-2146, August 2017.

·       F. Zhang, B. Jin, H. Liu, Y.-W. Leung, and X.-W. Chu, “Minimum-Cost Recruitment of Mobile Crowdsensing in Cellular Networks,” IEEE Globecom 2016, Washington, USA, 4-8 December, 2016.

·       L. Zhang, C. Zhang, J. Liu, X.-W. Chu, K. Xu, and H. Wang, “Power-Aware Wireless Transmission for Computation Offloading in Mobile Cloud,” IEEE ICCCN 2016, Hawaii, USA, 1-4 August, 2016.

·       Y. Lu, H. Liu, Y.-W. Leung, X.-W. Chu, and Z. Lin, “Adjustable Rendezvous in Multi-Radio Cognitive Radio Networks,” IEEE Globecom 2015, San Diego, CA, USA, 6-10 December, 2015.

·       Z. Lin, H. Liu, X.-W. Chu, Y.-W. Leung, and I. Stojmenovic, “Constructing Connected-Dominating-Set with Maximum Lifetime in Cognitive Radio Networks,” IEEE Transactions on Computers, to appear. [PDF]

·       L. Yu, H. Liu, Y.-W. Leung, X.-W. Chu, and Z. Lin, “Multiple Radios for Fast Rendezvous in Cognitive Radio Networks,IEEE Transactions on Mobile Computing, Vol. 14, No. 9, pages 1917-1931, September 2015. [PDF]

·       F. Zhang, H. Liu, Y.-W. Leung, X.-W. Chu, and B. Jin, “Community-based Bus System as Routing Backbone for Vehicular Ad Hoc Networks,” IEEE ICDCS 2015, Hilton Downtown, Columbus, Ohio, USA, 29 Jun.-2 Jul., 2015. [PDF] (Acceptance rate = 12.9%)

·       L. Yu, H. Liu, Y.-W. Leung, X.-W. Chu, and Z. Lin, “Channel-Hopping Based on Available Channel Set for Rendezvous of Cognitive Radios,” IEEE ICC 2014, Sydney, Australia, 10-14 June, 2014. [PDF]

·       H. Liu, X.-W. Chu, Y.-W. Leung, and R. Du, “Minimum-Cost Sensor Placement for Required Lifetime in Wireless Sensor-Target Surveillance Networks,” IEEE Transactions on Parallel and Distributed Systems, Vol. 24, No. 9, pp.1783-1796, September 2013.

·       Z. Lin, H. Liu, X.-W. Chu, and Y.-W. Leung, “Enhanced Jump-Stay Rendezvous Algorithm for Cognitive Radio Networks,” IEEE Communications Letters, Vol. 17, No. 9, Page 1742-1745, September 2013.

·       Gary K.W. Wong, H. Liu, X.-W. Chu, Y.-W. Leung, and C. Xie, “Efficient Broadcasting in Multi-hop Wireless Networks with A Realistic Physical Layer,” Ad Hoc Networks, Vol. 11, No. 4, pages 1305-1318, June 2013.

·       L. Yu, H. Liu, Y.-W. Leung, X.-W. Chu, and Z. Lin, “Multiple Radios for Effective Rendezvous in Cognitive Radio Networks,” IEEE ICC 2013, Budapest, Hungary, 9-13 June, 2013. [PDF]

·       H. Liu, Z. Lin, X.-W. Chu, and Y.-W. Leung, “Jump-Stay Rendezvous Algorithm for Cognitive Radio Networks,” IEEE Transactions on Parallel and Distributed Systems, Vol. 23, No. 10, pages 1867-1881, Oct 2012. (Spotlight Paper of the issue)

·       Z. Lin, H. Liu, X.-W. Chu, and Y.-W. Leung, “Ring-Walk Rendezvous Algorithms for Cognitive Radio Networks,” Ad Hoc & Sensor Wireless Networks, Vol. 16, No. 4, pages 243-271, 2012.

·       H. Liu, Y. Zhou, X.-W. Chu, Y.-W. Leung, and Z. Hao, “Generalized-Bi-Connectivity for Fault Tolerant Cognitive Radio Networks,” IEEE ICCCN 2012, Munich, Germany, July-August 2012.

·       Z. Lin, H. Liu, X.-W. Chu, Y.-W. Leung, and I. Stojmenovic, “Maximizing Lifetime of Connected-Dominating-Set in Cognitive Radio Networks,” IFIP Networking 2012, Prague, Czech Republic, 21-25 May. 2012.

·       H. Liu, Z. Lin, X.-W. Chu, and Y.-W. Leung, “Taxonomy and Challenges of Rendezvous Algorithms in Cognitive Radio Networks,” The International Conference on Computing, Networking and Communications (ICNC 2012), Maui, Hawaii, USA, 30 Jan.-2 Feb. 2012. (Invited Position Paper)

·       H. Liu, X.-W. Chu, Y.-W. Leung, X. Jia, and P.-J. Wan, “General Maximal Lifetime Sensor-Target Surveillance Problem and Its Solution,” IEEE Transactions on Parallel and Distributed Systems, Vol. 22, No. 10, pages 1757-1765, Oct. 2011.

·       Z. Lin, H. Liu, X.-W. Chu, and Y-W. Leung, “Jump-Stay Based Channel-Hopping Algorithm with Guaranteed Rendezvous for Cognitive Radio Networks,” IEEE INFOCOM 2011, Shanghai, China, 10-15 Apr. 2011. (Acceptance rate = 15.9%)

·       H. Liu, Z. Lin, X.-W. Chu, and Y-W. Leung, “Ring-Walk Based Channel-Hopping Algorithms with Guaranteed Rendezvous for Cognitive Radio Networks,” The 2nd IEEE International Workshop on Wireless Sensor, Actuator and Robot Networks (WiSARN2010-FALL), in conjunction with IEEE/ACM CPSCom, Hangzhou, China, 18-20 Dec. 2010. (Invited Paper)

·       H. Liu, X.-W. Chu, Y.-W. Leung, and R. Du, “Simple Movement Control Algorithm for Bi-Connectivity in Robotic Sensor Networks,” IEEE Journal on Selected Areas in Communications, Vol. 28, No. 7, pages. 994-1005, Sept 2010.

·       H. Liu, X.-W. Chu, Y. W. Leung, X. Jia, and P. J. Wan, “Maximizing Lifetime of Sensor-Target Surveillance in Wireless Sensor Networks,” IEEE Globecom 2009, Dec. 2009.

·       X.-Y. Li, Y. Wu, H. Chen, X.-W. Chu, Y. Wu, and Y. Qi, “Reliable and Energy Efficient Routing for Static Wireless Ad Hoc Networks with Unreliable Links, IEEE Transactions on Parallel and Distributed Systems, Vol. 20, no. 10, pp. 1408-1421, Oct. 2009.

·       X.-Y. Li, A. Nusairat, Y. Wu, Y. Qi, J. Zhao, X.-W. Chu, and Y. Liu, “Joint Throughput Optimization for Next Generation Wireless Mesh Networks,” IEEE Transactions on Mobile Computing, Vol. 8, No. 7, pages 895-909, July 2009.

·       X.-W. Chu, Y. Sun, K. Xu, Z. Sakendar, and J. Liu, “Quadratic Residue Based Address Allocation for Mobile Ad Hoc Networks,” IEEE ICC’08, Beijing, China, May 2008. [PDF]

·       Y. Yan and X.-W. Chu, “An Analytical Model for IEEE 802.11 Point-to-Point Link,” IEEE ICC’08, Beijing, China, May 2008. [PDF]

·       X.-W. Chu, “Provisioning of Parameterized Quality of Service in 802.11e Based Wireless Mesh Networks,” ACM/Springer MONET, Vol. 13, No.1-2, pages 6-18, April 2008. [PDF]

·       Y. Jiang, C. Lin, M. Shi, X. Shen, and X.-W. Chu , “A DoS and Fault Tolerant Authentication Protocol for Group Communications in Ad Hoc Networks,” Computer Communications, Vol. 30, Nos. 11/12, pp. 2428-2441, September 2007.

·       X.-Y. Li, Y. Shu, H. Chen, X.-W. Chu, and Y. Wu, Energy Efficient Routing with Unreliable Links in Wireless Networks, The Third IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2006), 2006.

 

Cloud Computing/Distributed Systems/Smart Grid

 

·       L. Ma, H. Liu, Y.-W. Leung, and X.-W. Chu, “Joint VM-Switch Consolidation for Energy Efficiency in Data Centers,” IEEE Globecom 2016, Washington, USA, 4-8 December, 2016.