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This page highlights a few research topics I have been working on. For a more complete picuture of my research, please see the full list of publications in my Google Scholar profile .

• Chengpeng Xia, Yawen Chen, Haibo Zhang, and Jigang Wu,
  STADIA: Photonic Stochastic Gradient Descent for Neural Network Acclerators,
  ACM Transactions on Embedded Computing Systems (TECS), 2023 (accepted).
• Wen Yang, Yawen Chen, Zhiyi Huang, and Haibo Zhang,
  Routing and Wavelength Assignment for Multiple Multicasts in Optical Network-on-Chip (ONoC),
  IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2023.
• Fei Dai, Yawen Chen, Zhiyi Huang, and Haibo Zhang, WRHT: Efficient All-reduce for Distributed DNN Training in Optical Interconnect Systems, IEEE International Conference on Parallel Processing (ICPP), 2023.
• Hao Zhang, Yawen Chen, Zhiyi Huang, Haibo Zhang, and Fei Dai, SEECHIP: A Scalable and Energy-Efficient Chiplet-based GPU Architecture Using Photonic Links, IEEE International Conference on Parallel Processing (ICPP), 2023.
• Fei Dai, Yawen Chen, Zhiyi Huang, and Haibo Zhang,
  OpTree: An Efficient Algorithm for All-gather Operation in Optical Interconnect Systems,
  IEEE International Conference on Communications (ICC), 2023.
• Fei Dai, Yawen Chen, Zhiyi Huang, Haibo Zhang, Hao Zhang, and Chengping Xia
  Comparing the performance of multi-layer perceptron training on electrical and optical network-on-chips,
  The Journal of Supercomputing, 2022.
• Chengpeng Xia, Yawen Chen, Haibo Zhang, Hao Zhang, Fei Dai, and Jigang Wu
  Efficient neural network accelerators with optical computing and communication,
  Elsevier Journal of Computer Science and Information Systems, 2022.
• Wen Yang, Yawen Chen, Zhiyi Huang, Haibo Zhang, and Fangfang Zhang
  Cluster-based routing and wavelength assignment for multiple multicasts in 3D optical network-on-chip,
  Optics Express, 2021.
• Fei Dai, Yawen Chen, Zhiyi Huang, Haibo Zhang, and Fangfang Zhang
  Efficient All-reduce for Distributed DNN Training in Optical Interconnect Systems,
  The 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP), 2023.
• Chengpeng Xia, Yawen Chen, Haibo Zhang, Hao Zhang, Fei Dai, Jigang Wu
  Efficient Neural Network Accelerators with Optical Computing and communication,
  Computer Science and Information Systems (ComSIS), 2022.
• Wen Yang, Yawen Chen, Zhiyi Huang, and Haibo Zhang,
  Path-based Routing and Wavelength Assignment for Multiple Multicasts in Optical Network-on-Chip,
  IEEE 21st International Conference on High Performance Computing and Communications (HPCC), 2019.
• Luying Bai, Huaxi Gu, Yawen Chen, Haibo Zhang, Xinyao Xu, and Yintang Yang
  System-level modelling and performance evaluation of multistage optical network on chips (MONoCs),
  Photonic Network Communications, 2017.
• Feiyang Liu, Haibo Zhang, Yawen Chen, Zhiyi Huang and Huaxi Gu,
  Wavelength-Reused Hierarchical Optical Network on Chip Architecture for Manycore Processors,
  IEEE Transactions on Sustainable Computing, 99, pp.1-14, 2017.
• Feiyang Liu, Haibo Zhang, Yawen Chen, Zhiyi Huang and Huaxi Gu,
  WRH-ONoC: A Wavelength-Reused Hierarchical Architecture for Optical Network on Chips,
  The 34th Annual IEEE International Conference on Computer Communications (INFOCOM), 2015.
  [acceptance rate: 316/1640=19%]

• Liu Cheng, Shengqiong Luo, Xinge Yu, Hemant Ghayvat, Haibo Zhang, Yuan Zhang,
  EEG-CLNet: collaborative learning for simultaneous measurement of sleep stages and OSA events based on single EEG signal,
  IEEE Transactions on Instrumentation and Measurement, 2023.
  
• Ying Pang, Haibo Zhang, Jeremiah Deng, Lizhi Peng, and Fei Teng,
  Rule-Based Collaborative Learning with Heterogeneous Local Learning Models,
  The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022.
  [acceptance rate: 19.3%]
• Yamei Li, Shengqiong Luo, Haibo Zhang, Yinkai Zhang, Yuan Zhang, Benny Lo,
  MtCLSS: Multi-Task Contrastive Learning for Semi-Supervised Pediatric Sleep Staging,
  IEEE Journal of Biomedical and Health Informatics, 2022.
  
• Yuxi Xie, Min Qiu, Haibo Zhang, Lizhi Peng, Zhenxiang Chen,
  Gaussian Distribution based Oversampling for Imbalanced Data Classification,
  IEEE Transactions on Knowledge and Data Engineering, 34(2): 667 - 679, 2020.
• Anli Yan, Zhenxiang Chen, Haibo Zhang, Lizhi Peng, Qiben Yan, Muhammad Umair Hassan, Chuan Zhao, Bo Yang,
  Effective Detection of Mobile Malware Behavior based on Explainable Deep Neural Network,
  Neurocomputing, 453(C): 482-492, 2020.
• Abbas Arghavani, Haibo Zhang, Zhiyi Huang and Yawen Chen,
  Chimp: a Learning-based Power-aware Communication Protocol for Wireless Body Area Networks,
  ACM Transactions on Embedded Computing Systems, 2019.
• Hanbo Deng, Lizhi Peng, Haibo Zhang, and BoYang,
  Ranking-based Biased Learning Swarm Optimizer for Large-Scale Optimization,
  Information Sciences, 493:120-137, 2019.

• Lin Zhang, Furong Fang, Guixun Huang, Yawen Chen, Haibo Zhang, Yuan Jiang, Weibin Ma,
  Energy-efficient Non-Orthogonal Multiple Access for Downlink Communication in Mobile Edge Computing Systems,
  IEEE Transactions on Mobile Computing, 2022.
• Abbas Arghavani, Haibo Zhang, Zhiyi Huang, Yawen Chen, and Zhenxiang Chen,
  Tuatara: Location-driven Power-adaptive Communication for Wireless Body Area Networks,
  IEEE Transactions on Mobile Computing, 2021.
• Abbas Arghavani, Haibo Zhang, Zhiyi Huang and Yawen Chen,
  Chimp: a Learning-based Power-aware Communication Protocol for Wireless Body Area Networks,
  ACM Transactions on Embedded Computing Systems, 2019.
• Haibo Zhang, Luming Wan, Laurence T. Yang and Lizhi Peng,
  Adaptive Message Routing and Replication in Mobile Opportunistic Networks for Connected Communities,
  ACM Transactions on Internet Technology (TOIT) - Special Issue on Connected Communities, 2017.
• Yan Li, Haibo Zhang, Zhiyi Huang and Michael Albert,
  Optimal Link Scheduling for Delay-constrained Periodic Traffic over Unreliable Wireless Links,
  The 33th Annual IEEE International Conference on Computer Communications (INFOCOM), 1465-1473, 2014.
  [acceptance rate: 320/1645=19.4%]
• Haibo Zhang, Fredrik Osterlind, Pablo Soldati, Thiemo Voigt, and Mikael Johansson,
  Time-Optimal Convergecast with Separated Packet Copying: Scheduling Policies and Performance,
  IEEE Transactions on Vehicular Technology, 2014.
• Haibo Zhang, Pablo Soldati and Mikael Johansson,
  Performance Bounds and Latency-Optimal Scheduling for Convergecast in WirelessHART Networks,
  IEEE Transactions on Wireless Communications, 12(6), 2688-2696, 2013.
• Zhenhua Zou, Pablo Soldati, Haibo Zhang, and Mikael Johansson,
  Energy-Efficient Deadline-Constrained Maximum Reliability Forwarding in Lossy Networks,
  IEEE Transactions on Wireless Communications, 11(10): 3474-3483, 2012.
• Jothi V N Vijayakumar, Haibo Zhang, Zhiyi Huang, and Adeel Javed,
  A particle filter based train localization scheme using wireless sensor networks,
  IEEE International Conference on Embedded Computing (EmbeddedCom), 269-274, 2013 .
  [Best Paper Award]
• Haibo Zhang, Michael Albert, and Andreas Willig,
  Combining TDMA with Slotted Aloha for Delay Constrained Traffic over Lossy Links,
  IEEE International Conference on Control, Automation, Robotics and Vision (ICARCV), 701-706, 2012.
• Haibo Zhang and Hong Shen,
  Energy-Efficient Beaconless Geographic Routing in Wireless Sensor Networks,
  IEEE Transactions on Parallel and Distributed Systems, 21(6): 881-896, 2010.
• Haibo Zhang and Hong Shen,
  Balancing Energy Consumption to Maximize Network Lifetime in Data-Gathering Sensor Networks,
  IEEE Transactions on Parallel and Distributed Systems, 20(10): 1526-1539, 2009.

• Waqas Ahmad, Haibo Zhang, Yawen Chen, Naveed Iqbal,
  Low RF-complexity Digital Transmit Beamforming for Large-scale Millimeter Wave MIMO Systems,
  IEEE Transactions on Wireless Communications, 2022.
• Shuangyao Huang, Haibo Zhang, and Zhiyi Huang,
  E2Coop: Energy Efficient and Cooperative Obstacle Detection and Avoidance for UAV Swarms,
  The 30th International Conference on Automated Planning and Scheduling (ICAPS), 2021.
• Waqas Ahmad, Haibo Zhang, Yawen Chen, Naveed Iqbal,
  Full Digital Transmit Beamforming with Low RF Complexity for Large-scale mmWave MIMO system,
  IEEE International Conference on Communications (ICC), 2020.
• Aleksei Fedorov, Haibo Zhang, Galina Sidorenko, Bo Yang,
  Full downlink channel reconstruction using incomplete uplink channel measurements in massive MIMO networks,
  IFIP Networking Conference (IFIP Networking), 2019.
• Aleksei Fedorov, Haibo Zhang and Yawen Chen,
  User Localization using Random Access Channel Signals in LTE Networks with Massive MIMO,
  The 27th International Conference on Computer Communications and Networks (ICCCN 2018), 2018.
• Aleksei Fedorov, Haibo Zhang and Yawen Chen,
  Geometry-based Modeling and Simulation of 3D Multipath Propagation Channel with Realistic Spatial Characteristics,
  The IEEE International Conference on Communications (ICC), pp. 1-6, 2017.

• Aleksei Fedorov, Haibo Zhang and Yawen Chen,
  User Localization using Random Access Channel Signals in LTE Networks with Massive MIMO,
  The 27th International Conference on Computer Communications and Networks (ICCCN 2018), 2018.
• Paul Crane, Zhiyi Huang, and Haibo Zhang,
  CRAFT: Reducing the Effort for Indoor Localisation,
  The IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2017.
• Paul Crane, Zhiyi Huang, and Haibo Zhang,
  Emender: Signal filter for Trilateration Based Indoor Localisation,
  The IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2016.
• Paul Crane, Zhiyi Huang, and Haibo Zhang,
  SIB: Noise Reduction in Fingerprint-based Indoor Localisation using Multiple Transmission Powers,
  The 13th International Conference on Mobile and Ubiquitous Multimedia (MUM), 2014.
• Adeel Javed, Haibo Zhang, Zhiyi Huang and Jeremiah Deng,
  BWS: Beacon-driven Wake-up Scheme for Train Localization using Wireless Sensor Networks,
  The IEEE International Conference on Communications (ICC), 2014.

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