Publications (8)
AnciNet: An Efficient Deep Learning Approach for Feedback Compression of Estimated CSI in Massive MIMO Systems
Yuyao Sun, Wei Xu, Lisheng Fan +2
Accurate channel state information (CSI) feedback plays a vital role in improving the performance gain of massive multiple-input multiple-output (m-MIMO) systems, where the dilemma…
Active Admittance Control with Iterative Learning for General-Purpose Contact-Rich Manipulation
Bo Zhou, Yuyao Sun, Wenbo Liu +3
Force interaction is inevitable when robots face multiple operation scenarios. How to make the robot competent in force control for generalized operations such as multi-tasks still…
Towards Aligned Data Removal via Twin Machine Unlearning
Haoxuan Ji, Zheng Lin, Yuyao Sun +4
Modern privacy regulations have spurred the evolution of machine unlearning, a technique that enables the removal of data from an already trained ML model without requiring retrain…
Towards Aligned Data Forgetting via Twin Machine Unlearning
Zhenxing Niu, Haoxuan Ji, Yuyao Sun +4
Modern privacy regulations have spurred the evolution of machine unlearning, a technique enabling a trained model to efficiently forget specific training data. In prior unlearning…
InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression
Dongchen Lu, Yuyao Sun, Zilu Zhang +4
Most multimodal large language models (MLLMs) treat visual tokens as "a sequence of text", integrating them with text tokens into a large language model (LLM). However, a great qua…
A Lightweight Deep Network for Efficient CSI Feedback in Massive MIMO Systems
Yuyao Sun, Wei Xu, Le Liang +3
To fully exploit the advantages of massive multiple-input multiple-output (m-MIMO), accurate channel state information (CSI) is required at the transmitter. However, excessive CSI…