Xing Li

Lightweight semantic service modelling for IoT: an environment-based approach

2016 · International Journal of Embedded Systems

Combining service-oriented architecture (SOA) with internet of things (IoT) has been paid more and more attentions for encapsulating the functionalities of heterogeneous devices as IoT services and enabling things to interact and communicate with each …

Parameter Convex Neural Networks

2022 · arXiv (Cornell University)

Deep learning utilizing deep neural networks (DNNs) has achieved a lot of success recently in many important areas such as computer vision, natural language processing, and recommendation systems. The lack of convexity for DNNs has …

Logic Synthesis with Generative Deep Neural Networks

2024 · arXiv (Cornell University)

While deep learning has achieved significant success in various domains, its application to logic circuit design has been limited due to complex constraints and strict feasibility requirement. However, a recent generative deep neural model, "Circuit …

FedFLD: Heterogeneous Federated Learning via Forget-Less Distillation

2025

Federated learning, as a distributed machine learning paradigm, enhances privacy protection but faces the challenge of heterogeneity. Data-free knowledge distillation (DFKD) methods attempt to overcome this challenge by using a generator to synthesize samples for …