Xianxun Zhu

Xianxun Zhu

Postdoctoral Researcher

Xianxun Zhu — Multimodal AI • Wireless Sensing • Robotics

Email: xianxun@sentic.net/xianxun.zhu@mq.edu.au

Profiles: Google Scholar ⋄ ResearchGate

I am a postdoctoral researcher at Nanyang Technological University(Co-supervisor: Erik Cambria, IEEE Fellow)/Shanghai University(Co-supervisor: Rui Wang)/ working at the intersection of multimodal emotion analysis, wireless/6G sensing, robotics SLAM, and remote sensing. My broader interests include AI algorithms, blockchain business analysis, and microelectronic chip development. I collaborate closely with industry and academia to translate methods into deployable systems.

I am a member of the SenticNet team at Nanyang Technological University, which specializes in affective computing. Our team is one of the leading groups globally in this field, led by Prof. Erik Cambria. If you’re interested in our work, feel free to explore our website for more information.

Research Interests

  • Multimodal learning (emotion/sentiment, robustness, alignment, diffusion & transformers)
  • Wireless/RF & 6G sensing; WiFi-vision fusion; human activity and behavior understanding
  • Robotics SLAM; LiDAR–vision navigation; multi-sensor fusion
  • Remote sensing & medical imaging; trustworthy and efficient ML
  • Applied AI: blockchain analytics, microelectronics, and embedded intelligence

Education

Ph.D., Multimodal Processing — Macquarie University / Shanghai University, Sydney & Shanghai
Research areas: multimodal data processing, 6G sensing, robotics SLAM, blockchain business analysis, microelectronic chip development, AI algorithms.

Professional Experience

Postdoctoral Researcher, Nanyang Technological University, Singapore/Shanghai University, Shanghai (04/2025 – Present)
Multimodal emotion analysis, robotics SLAM, and remote sensing.

Founder, Yinchuan Jiexun Technology Co., Ltd, Yinchuan (04/2023 – Present)
Lead strategy, business development, and technology innovation. Registered on Apr 17, 2023. Focus: marketing planning, market research, IT consulting, software development, system integration, technical services.

Algorithm Engineer, Bell Lab (China), Shanghai (07/2018 – 12/2021)
Wireless sensing projects; contributed to 5.5G integrated sensing–communication standardization; MWC 2021 demo participation.

Technical Engineer, Yizhuo Information Technology Co., Ltd, Shanghai (11/2020 – 09/2021)
Robot navigation with vision + 3D LiDAR; optimized multi-LiDAR (2D/3D) fusion and navigation systems.

Selected Projects

  • High-Dynamic Multi-Vector Data Stream Fusion (2023–2024) — 800,000 RMB (~112,000 USD)
  • Abnormal Emotion & Behavior Recognition in Human-Human Interactions (2022–2023) — 2,000,000 RMB (~280,000 USD)
  • Abnormal Emotion & Behavior Recognition in Extreme Environments (2020–2021) — 2,000,000 RMB (~280,000 USD)

Selected Publications

  • Y. Ye, N. Liu, Y. Zhao, X. Zhu, J. Wang, Y. Liu, “Advancing federated domain generalization in ophthalmology: Vision enhancement and consistency assurance for multicenter fundus image segmentation,” Pattern Recognition, 169, 111993, 2026.
  • R. Khan, N. Alzaben, Y.I. Daradkeh, X. Zhu, I. Ullah, “Pyramidal attention with progressive multi-stage iterative feature refinement for salient object segmentation,” Image and Vision Computing, 105670, 2025.
  • W. Song, S. Guo, M. Gao, Q. Li, X. Zhu, I. Rida, “Deepfake detection via Feature Refinement and Enhancement Network,” *Image and Vision Computing, 105663, 2025.
  • Y. Zhang, H. Chen, R. Imad, X. Zhu, “A Generative Random Modality Dropout Framework for Robust Multimodal Emotion Recognition,” *IEEE Intelligent Systems, vol. 40, 2025.
  • R. Wang, D. Xu, L. Cascone, Y. Wang, H. Chen, J. Zheng, X. Zhu, “RAFT: Robust Adversarial Fusion Transformer for multimodal sentiment analysis,” *Array, 100445, 2025.
  • R. Wang, C. Guo, M. Shabaz, I. Rida, E. Cambria, X. Zhu, “CIME: Contextual Interaction-based Multimodal Emotion Analysis with Enhanced Semantic Information,” *IEEE Transactions on Computational Social Systems, 2025. (Citations: 3)
  • X. Zhu, Y. Wang, E. Cambria, I. Rida, J.S. López, L. Cui, R. Wang, “RMER-DT: Robust multimodal emotion recognition in conversational contexts based on diffusion and transformers,” Information Fusion, 103268, 2025. (Citations: 4)
  • F. Wang, M. Ju, X. Zhu, Q. Zhu, H. Wang, C. Qian, R. Wang, “A Geometric algebra-enhanced network for skin lesion detection with diagnostic prior,” The Journal of Supercomputing, 81(1):1-24, 2025. (Citations: 4)
  • X. Zhu, Z. Liu, E. Cambria, X. Yu, X. Fan, H. Chen, R. Wang, “A client-server based recognition system: Non-contact single/multiple emotional and behavioral state assessment methods,” Computer Methods and Programs in Biomedicine, 108564, 2024. (Citations: 10)
  • R. Wang, J. Zhu, S. Wang, T. Wang, J. Huang, X. Zhu, “Multi-modal emotion recognition using tensor decomposition fusion and self-supervised multi-tasking,” *IJMIR, 13(4):39, 2024. (Citations: 32)
  • X. Zhu, C. Guo, H. Feng, Y. Huang, Y. Feng, X. Wang, R. Wang, “A review of key technologies for emotion analysis using multimodal information,” Cognitive Computation, 16(4):1504-1530, 2024. (Citations: 51)
  • X. Zhu, Y. Huang, X. Wang, R. Wang, “Emotion recognition based on brain-like multimodal hierarchical perception,” Springer US, 83(18):56039-56057, 2023. (Citations: 37)
  • X. Zhu, H. Xu, Z. Zhao, X. Wang, X. Wei, Y. Zhang, J. Zuo, “An environmental intrusion detection technology based on WiFi,” Springer US, 119(2):1425-1436, 2022. (Citations: 35)
  • J. Zuo, X. Zhu, Y. Peng, Z. Zhao, X. Wei, X. Wang, “A new method of posture recognition based on WiFi signal,” IEEE Communications Letters, 25(8):2564-2568, 2021. (Citations: 33)
  • J. Zuo, Y. Zhang, H. Xu, X. Zhu, Z. Zhao, X. Wei, X. Wang, “Pipeline leak detection technology based on distributed optical fiber acoustic sensing system,” IEEE, pp. 30789-30796, 2020. (Citations: 140)

Publications & Patents (overview). 60+ publications in SCI/CCF/EI venues; 15 patents filed; 600+ citations; h-index 14.
Sample works: Brain-like multimodal hierarchical perception for emotion recognition; WiFi-based intrusion detection; WiFi posture recognition; RF sensing-based environmental monitoring.

Representative patents.

  • WiFi-based intrusion detection (202010558116.2)
  • WiFi-based posture recognition (202011071897.9)
  • Pipeline leakage detection via fiber optics (201910715214X)
  • Time-domain pipeline leak detection (2019107151838)

Academic Service

  • Authored 100+ peer-reviewed papers in venues including AAAI, Computer Methods and Programs in Biomedicine, IEEE Communications Letters, IEEE Transactions on Mobile Computing, International Journal of Computer Vision, Pattern Recognition, The Journal of Supercomputing, and Neural Computing and Applications.
  • Chaired special sessions at IEEE conferences, including the IEEE BESC series.

Awards & Certifications

  • IELTS 7.5
  • National Computer Level-2 Certificate
  • National Level-3 Sports Instructor Certificate
  • Third place, Anhui Provincial Games (2017, 2018) & Sportsmanship Award (2017)
  • Postgraduate Scholarship: Third Prize (2018), First Prize (2020)

    News！！！

    We are recruiting remote interns (undergraduate, master’s, and PhD) in collaboration with Shanghai University and Nanyang Technological University (NTU); if you’re interested in multimodal data processing, feel free to email us. （xianxun@sentic.net）