Publications (5)
Inference with Hybrid Bio-hardware Neural Networks
Yuan Zeng, Zubayer Ibne Ferdous, Weixiang Zhang +6
To understand the learning process in brains, biologically plausible algorithms have been explored by modeling the detailed neuron properties and dynamics. On the other hand, simpl…
Towards a Data Flywheel for Embodied Intelligence in Logistics
Anlan Yu, Zaishu Chen, Zhiqing Hong +1
Embodied intelligence is moving from laboratory demonstrations toward industrial deployment, with the logistics industry serving as a key application scenario. Learning-based polic…
FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data
Shusen Jing, Anlan Yu, Shuai Zhang +1
Recent efforts have been made to integrate self-supervised learning (SSL) with the framework of federated learning (FL). One unique challenge of federated self-supervised learning…
BenchHAR: Benchmarking Self-Supervised Learning for Generalizable Sensor-based Activity Recognition
Yize Cai, Rui Feng, Anlan Yu +2
Human Activity Recognition (HAR) from wearable sensors supports broad healthcare and behavior science applications. However, data heterogeneity and the scarcity of labeled data lim…
WM-DAgger: Enabling Efficient Data Aggregation for Imitation Learning with World Models
Anlan Yu, Zaishu Chen, Peili Song +6
Imitation learning is a powerful paradigm for training robotic policies, yet its performance is limited by compounding errors: minor policy inaccuracies could drive robots into uns…