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Yi Gong

7 accepted papers

2026

ALTER: Asymmetric LoRA for Token-Entropy-Guided Unlearning of LLMs

AAAI 2026technical

Large language models (LLMs) have advanced to encompass extensive knowledge across diverse domains. Yet controlling what a LLMs should not know is important for ensuring alignment and thus safe use. However, effective unlearning in LLMs is difficult due to the fuzzy boundary between knowledge retent

Cited by 0SourcePDFScholar
2024

Learning a Low-Rank Feature Representation: Achieving Better Trade-Off Between Stability and Plasticity in Continual Learning

ICASSP 2024accepted

In continual learning, networks confront a trade-off between stability and plasticity when trained on a sequence of tasks. To bolster plasticity without sacrificing stability, we propose a novel training algorithm called LRFR. This approach optimizes network parameters in the null space of the past…

Cited by 0SourceScholar
2022

Task Autonomous Medical Robot for Both Incision Stapling and Staples Removal

RA-L 2022

Surgical incision is a pervasive procedure in medical environments. Stapling is an incision closure method that is comparable to stitching. While incision closure is performed immediately after a surgery, staples are removed several weeks after the closure. The workload of surgeons and the probabili

Cited by 20SourceScholar
2020

Spectrum Allocation in Wireless Networks for Crowd Labelling

ICASSP 2020accepted

The massive sensing data generated by Internet-of-Things will provide fuel for ubiquitous artificial intelligence (AI), while tremendous labels are required for AI model training via supervised learning. To tackle this challenge, a novel framework of wireless crowd labelling is proposed that downloa…

Cited by 0SourceScholar
2019

Toeplitz Matrix Completion for Direction Finding Using a Modified Nested Linear Array

ICASSP 2019accepted

A modified nested linear array (MNLA) has been reported recently for a greater potential in increasing the degree-of-freedom. However, there exist some "holes" in the difference co-array, which results in missing "lags" and limited performance of direction-of-arrival (DOA) estimation. In order to ta…

Cited by 0SourceScholar
2015

Detection of pilot spoofing attack in multi-antenna systems via energy-ratio comparison

ICASSP 2015accepted

We study a spoofing attack happened in the physical layer of a multiple-antenna system, where an adversary tries to spoof the transmitter by sending the identical pilot (training) signal as that of a legitimate receiver in the uplink channel estimation phase. This attack, named as pilot spoofing att…

Cited by 0SourceScholar