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==List of Papers == | ==List of Papers == | ||
1. | 1. ZGaming: Zero-Latency 3D Cloud Gaming by Image Prediction [https://dl.acm.org/doi/10.1145/3603269.3604819] | ||
2. AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving [https://dl.acm.org/doi/10.1145/3570361.3592517] | 2. AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving [https://dl.acm.org/doi/10.1145/3570361.3592517] | ||
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6. Practically Adopting Human Activity Recognition [https://dl.acm.org/doi/10.1145/3570361.3613299] | 6. Practically Adopting Human Activity Recognition [https://dl.acm.org/doi/10.1145/3570361.3613299] | ||
7. | 7. AGO: Boosting Mobile AI Inference Performance by Removing Constraints on Graph Optimization. [https://ieeexplore.ieee.org/document/10228858] | ||
8. | 8. Energy-Efficient 360-Degree Video Streaming on Multicore-Based Mobile Devices [https://ieeexplore.ieee.org/document/10228863] | ||
9. | 9. Hawkeye: A Dynamic and Stateless Multicast Mechanism with Deep Reinforcement Learning [https://ieeexplore.ieee.org/document/10228869] | ||
10. | 10. WiseCam: Wisely Tuning Wireless Pan-Tilt Cameras for Cost-Effective Moving Object Tracking [https://ieeexplore.ieee.org/document/10228926] | ||
11. | 11. Two-level Graph Caching for Expediting Distributed GNN Training [https://ieeexplore.ieee.org/document/10228911] | ||
12. | 12. From Ember to Blaze: Swift Interactive Video Adaptation via Meta-Reinforcement Learning [https://ieeexplore.ieee.org/document/10228909] | ||
13. | 13. HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN [https://ieeexplore.ieee.org/document/10229047] | ||
14. | 14. AccDecoder: Accelerated Decoding for Neural-enhanced Video Analytics [https://ieeexplore.ieee.org/document/10228933] | ||
15. | 15. DTrust: Toward Dynamic Trust Levels Assessment in Time-Varying Online Social Networks [https://ieeexplore.ieee.org/document/10228962] | ||
16. | 16. Federated Few-Shot Learning for Mobile NLP [https://dl.acm.org/doi/10.1145/3570361.3613277] | ||
17. | 17. A Joint Analysis of Input Resolution and Quantization Precision in Deep Learning [https://dl.acm.org/doi/10.1145/3570361.3615753] | ||
18. | 18. Automated Spray Control using Deep Learning and Image Processing [https://dl.acm.org/doi/10.1145/3570361.3615757] | ||
19. | 19. Cross-Modal Perception for Customer Service [https://dl.acm.org/doi/10.1145/3570361.3615751] | ||
20. | 20. Cross-modal meta-learning for WiFi-based human activity recognition [https://dl.acm.org/doi/10.1145/3570361.3615754] | ||
==Schedule== | ==Schedule== |
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