Publications

* indicates equal contributions

[arXiv] Achieving Sparse Activation in Small Language Models
Jifeng Song, Kai Huang, Xiangyu Yin, Boyuan Yang, Wei Gao
arXiv preprint arXiv:2406.06562
[paper] [code]

[arXiv] FreezeAsGuard: Mitigating Illegal Adaptation of Diffusion Models via Selective Tensor Freezing
Kai Huang, Wei Gao
arXiv preprint arXiv:2405.17472
[paper] [code] [dataset]

[arXiv] Modality Plug-and-Play: Elastic Modality Adaptation in Multimodal LLMs for Embodied AI
Kai Huang, Boyuan Yang, Wei Gao
arXiv preprint arXiv:2312.07886
[paper] [code]

[ICLR’24] Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation
Kai Huang, Hanyun Yin, Heng Huang, Wei Gao
The Twelfth International Conference on Learning Representations
Acceptance Ratio: 2250/7304=30.8%
[paper] [talk] [code]

[MobiSys’23] PTEase: Objective Airway Examination for Pulmonary Telemedicine using Commodity Smartphones
Xiangyu Yin, Kai Huang, Erick Forno, Wei Chen, Heng Huang, Wei Gao
Proceedings of the 21st International Conference on Mobile Systems, Applications, and Services
Acceptance Ratio: 41/198=20.7%
[paper] [teaser] [code]

[MobiSys’23] ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection
Kai Huang, Boyuan Yang, Wei Gao
Proceedings of the 21st International Conference on Mobile Systems, Applications, and Services
Acceptance Ratio: 41/198=20.7%
🎉 Received ACM Artifact Available, Functional, Reusable, Results Replicated Badges (4/17)
[paper] [slides] [teaser] [code]

[SenSys’22] AiFi: AI-Enabled WiFi Interference Cancellation with Commodity PHY-Layer Information
Ruirong Chen, Kai Huang, Wei Gao
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems
Acceptance Ratio: 52/209=24.8%
[paper] [slides] [code]

[CML-IOT’22] Out-Clinic Pulmonary Disease Evaluation via Acoustic Sensing and Multi-Task Learning on Commodity Smartphones
Xiangyu Yin, Kai Huang, Erick Forno, Wei Chen, Heng Huang, Wei Gao
The Fourth Workshop on Continual and Multimodal Learning for Internet of Things
🎉 Best Paper Award
[paper]

[MobiCom’22] Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI
Kai Huang, Wei Gao
The 28th Annual International Conference On Mobile Computing And Networking
Acceptance Ratio: 56/314=17.8%
[paper] [slides] [talk] [code]

[IoTDI’22] RAScatter: Achieving Energy-Efficient Backscatter Readers via AI-Assisted Power Adaptation
Kai Huang, Ruirong Chen, Wei Gao
The 7th ACM/IEEE Conference on Internet of Things Design and Implementation
Acceptance Ratio: 12/36=33.3%
[paper] [slides] [code]

[IPSN’22] FaceListener: Recognizing Human Facial Expressions via Acoustic Sensing on Commodity Headphones
Xingzhe Song, Kai Huang, Wei Gao
21st ACM/IEEE International Conference on Information Processing in Sensor Networks
Acceptance Ratio: 38/126=30.2%
[paper]

[ASPLOS’22] Eavesdropping user credentials via GPU side channels on smartphones
Boyuan Yang, Ruirong Chen, Kai Huang, Jun Yang, Wei Gao
Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems
Acceptance Ratio: 80/397=20.2%
[paper] [talk] [code]

[MobiSys’20] MagHacker: eavesdropping on stylus pen writing via magnetic sensing from commodity mobile devices
Yihao Liu*, Kai Huang*, Xingzhe Song, Boyuan Yang, Wei Gao
* indicates equal contributions
Proceedings of the 18th International Conference on Mobile Systems, Applications, and Services
Acceptance Ratio: 34/175=19.4%
[paper]