General Information
As the integration of signal processing and machine
learning deepens, this interdisciplinary field is
experiencing rapid advancements. The emergence of
deep learning has significantly enhanced the
automation and intelligence of signal analysis,
achieving remarkable breakthroughs in domains such
as audio processing, image recognition, and medical
diagnostics. Simultaneously, multimodal data fusion
and AI-driven signal analysis have emerged as
critical trends. However, challenges such as limited
model interpretability, robustness against noise and
distributional shifts, and adaptability in
resource-constrained environments remain pressing
issues, necessitating further research and practical
exploration.
To address these challenges and foster progress in
the field, 2025 IEEE the 8th International
Conference on Signal Processing and Machine Learning (SPML 2025)
will be held in Hohhot, China during 15-17 July,
2025. It is co-organized by Inner Mongolia
University, China and China University of Mining and
Technology, China. SPML 2025 aims to provide a
premier platform for global researchers, industry
experts, and practitioners to exchange cutting-edge
insights and explore future directions. The
conference will focus on key topics such as audio
and image processing, multimodal data fusion, and
AI-driven signal analysis, while addressing critical
bottlenecks and innovative solutions. Through
high-level workshops, panel discussions, and keynote
speeches, SPML 2025 will promote interdisciplinary
collaboration and technological innovation,
injecting fresh momentum into the field’s
development and advancing the application of signal
processing and machine learning across various
industries.
随着信号处理与机器学习的深度融合，该领域正迎来蓬勃发展。深度学习技术的崛起显著提升了信号分析的自动化和智能化水平，在音频、图像、医疗等领域取得了突破性进展。同时，多模态数据融合和人工智能驱动的信号分析成为重要趋势。然而，当前仍面临模型解释性不足、对噪声和数据分布变化的鲁棒性较弱，以及资源受限场景中的应用适配性等挑战，亟需进一步研究与实践。
为推动该领域的发展，IEEE第八届信号处理与机器学习国际会议（SPML
2025）将于2025年7月15日至17日在中国呼和浩特的内蒙古大学举行，由内蒙古大学和中国矿业大学联合主办。SPML
2025致力于为全球研究人员、行业专家和从业者提供一个交流前沿成果和探讨未来方向的平台。会议将聚焦音频与图像处理、多模态数据融合、人工智能驱动的信号分析等热点议题，并深入探讨技术瓶颈和创新解决方案。通过高水平的研讨会、小组讨论和专家讲座，SPML
2025将推动跨学科合作与技术创新，为信号处理与机器学习领域的持续发展注入新动力，促进技术成果在各行业的实际应用与转化。
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Call for
Tracks and Special Sessions
Interested participants in organizing a Track should
submit the proposal to Ms. willow Wong
(spml.contact@gmail.com) on or before June 5, 2025.
Track 1: Randomization-based Algorithms and
Reservoir Computing
Track 2: Interpretable deep learning and
neural networks
Track 3: Data Processing and Machine Learning
in Intelligent Transportation Systems
Track 4: Advanced Visual Recognition and
Analysis
Track 5: Intelligent media computing and new
computing
Track 6: Intelligent Information Processing
