Program Schedule

Day 1 (December 9, 2025)
15:00 – 19:00 Registration
Day 2 (December 10, 2025)
9:00 – 9:10 Welcome Remarks (Wong Thein Lai) Chair: Natalie Tan Jie Yin
9:10 – 9:20 Remarks by Program Chair (Bingsheng He)
9:20 – 9:30 Remarks by Steering Committee Chair (Hai Jin)
9:30 – 9:40 Group Photo
9:40 – 10:40 Keynote 1: Flora Salim
Keynote 2: CHAN Mun Choon
Chair: Bingsheng He
10:40 – 11:00 Break
11:00 – 12:00 Panel 1: Sustainable AI Systems (Panelists: Bingsheng He, Hai Jin, Flora Salim, CHAN Mun Choon, Jianliang Xu) Chair: Bingsheng He
12:00 – 13:30 Lunch
13:30 – 14:30 Session 1: Distributed & Federated Learning Chair: Defu Lian
14:45 – 15:45 Session 2: Security, Privacy & Robustness Chair: Jingyi Ning
16:00 – 17:00 Session 3: Network & Communication Systems Chair: Chen Yu
18:00 – 20:00 Banquet
Day 3 (December 11, 2025)
9:00 – 10:00 Keynote 3: Takuya Maekawa
Keynote 4: Jianliang Xu
Chair: Xing Xie
10:00 – 10:30 Break
10:30 – 11:30 Panel 2: Belt and Road AI (Panelists: Takuya Maekawa, Defu Lian, Xuan Liu, Jingyi Ning) Chair: Longbiao Chen
12:00 – 13:00 Lunch
13:30 – 14:30 Session 4: Mobile Computing, Sensing & UAV Chair: Longbiao Chen
14:45 – 15:45 Session 5: Human-centered AI, Multimodal & Perception Chair: Fangwan Huang
16:00 – 16:40 Session 6: Intelligent Modeling & Robust Systems Chair: Xuan Liu
Day 4 (December 12, 2025)
9:00 – 10:30 Tutorial 1 (TA210) (Speaker: Longbiao Chen)
10:30 – 12:00 Tutorial 2 (TA211) (Speaker: Jingyi Ning)
13:00 – 17:00 TAR UMT Facility visit

Detailed Session Schedule

Session 1: Distributed & Federated Learning

December 10, 2025 | 13:30 – 14:30

  • 13:30 – 13:40: UWCS: A Unified Online Capability Assessment Framework for Hybrid Workers in Mobile Crowdsensing
  • 13:40 – 13:50: DCML: An Efficient Cluster-Based Meta-Learning Algorithm with Knowledge Selective Reuse
  • 13:50 – 14:00: Accelerating Graph Similarity Search with Maximum Common Subgraphs
  • 14:00 – 14:10: FedMIS: Federated Medical Image Segmentation with Knowledge Distillation
  • 14:10 – 14:20: Energy-Efficient Federated Fine-Tuning of Large Language Models for Green Computing
  • 14:20 – 14:30: NSP-MCS: Reinforcement Learning-Based Navigation-Aware Task Scheduling for Mobile Crowdsourcing

Session 2: Security, Privacy & Robustness

December 10, 2025 | 14:45 – 15:45

  • 14:45 – 14:55: CrossDID: A Secure and Accountable Cross-Chain Decentralized Identity System
  • 14:55 – 15:05: A Game Theory Guided Attack-Defense Framework for Character-Level Modality Perturbations
  • 15:05 – 15:15: Cross-Network Malicious Traffic Detection Via Graph Neural Networks and Dual Distribution Alignment
  • 15:15 – 15:25: BadFF: Inspect the weakness and robustness of forward-forward neural networks
  • 15:25 – 15:35: A Poisoning Attack System Targeting Critical Layers of Backdoors in Federated Learning Models
  • 15:35 – 15:45: Lamina: An Efficient Asynchronous BFT through Lightweight Broadcast and Optimistic Paths

Session 3: Network & Communication Systems

December 10, 2025 | 16:00 – 17:00

  • 16:00 – 16:10: LoRaSim: A LoRa Network simulator via Hybrid Physics-Data Synergy
  • 16:10 – 16:20: CICC: Combating Inter-Channel Collision in the LoRa Network
  • 16:20 – 16:30: Research on a Message Transmission Strategy in VANETs Based on Implicit Acknowledgment with Adaptive Beacon Intervals
  • 16:30 – 16:40: Reliable and efficient data sharing framework based on blockchain in VANETs
  • 16:40 – 16:50: Asymmetric IoT communication and sensing technology based on RF-Computing
  • 16:50 – 17:00: Understanding Streaming Data Effects on Model Training in AIoT Systems

Session 4: Mobile Computing, Sensing & UAV

December 11, 2025 | 13:30 – 14:30

  • 13:30 – 13:40: P-VBF: A vertical projection vector-based forward routing protocol in muti-UUV cooperative perception
  • 13:40 – 13:50: Low-Latency Onboard Compression Task Scheduling and Routing Co-Optimization Algorithm for LEO Satellites
  • 13:50 – 14:00: ParaDepth: Distributed Multi-View 3D Reconstruction for Fire Scene
  • 14:00 – 14:10: Joint Semantic-Fidelity and Energy Optimization for AUV Collaborative Sensing via Multi-Agent Reinforcement Learning
  • 14:10 – 14:20: Optimizing Exploration-Coverage Trade-offs for Multi-UAV Systems Under Energy-Constrained Path Planning
  • 14:20 – 14:30: Multi-Agent Deep Reinforcement Learning for Cloud-UAV-RSU Collaborative Vehicular Computation Offloading

Session 5: Human-centered AI, Multimodal & Perception

December 11, 2025 | 14:45 – 15:45

  • 14:45 – 14:55: MultiMo-Concen: Multimodal Learning Concentration Recognition Based on Vision and Millimeter Wave
  • 14:55 – 15:05: MoiréTemp: A Moiré Pattern-Based Approach for High-Precision Temperature Measurement
  • 15:05 – 15:15: A Lightweight Traffic Flow Prediction Model Based on Multi-Scale Spatiotemporal Characteristics
  • 15:15 – 15:25: CogPlanner: A Cognitive Navigation Method for Embodied Intelligence Guided by Indoor Floor Plans
  • 15:25 – 15:35: Lightweight Gated Spiking Neural Network Based on Temporal Residual Connection
  • 15:35 – 15:45: Programmable Context-Aware Orchestration of Collaborative Inference Using Software-Defined AIoT in Personal Healthcare Wearables

Session 6: Intelligent Modeling & Robust Systems

December 11, 2025 | 16:00 – 16:40

  • 16:00 – 16:10: Scalable Data-Driven Modeling of Postoperative Pain Risk Factors Using Distributed Machine Learning Algorithms
  • 16:10 – 16:20: Inductive adaptive spatio-temporal Kriging for urban air quality inference
  • 16:20 – 16:30: ACCG: A Collaborative-Adversarial Framework for Robust Code Generation
  • 16:30 – 16:40: Collaborative Optimization of Heterogeneous Multi-Agent Integrated Sensing and Computing Based on QMIX Algorithm