5 citations · 10 across the 8 of their papers we have counts for
8 papers
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
Yihao Wang, Pengxiang Ding, Lingxiao Li +13
Vision-Language-Action (VLA) models typically bridge the gap between perceptual and action spaces by pre-training a large-scale Vision-Language Model (VLM) on robotic data. While t…
Quantum Knowledge Distillation for Large Language Models
Lingxiao Li, Yihao Wang, Jiacheng Fan +4
As foundational tools in natural language processing, Large Language Models (LLMs) have immense parameter scales, which makes deployment and inference increasingly prohibitive, esp…
Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems
Yihao Wang, Lingxiao Li, Yifan Tang +2
Intelligent transportation systems (ITS) use advanced technologies such as artificial intelligence to significantly improve traffic flow management efficiency, and promote the inte…
U-GIFT: Uncertainty-Guided Firewall for Toxic Speech in Few-Shot Scenario
Jiaxin Song, Xinyu Wang, Yihao Wang +4
With the widespread use of social media, user-generated content has surged on online platforms. When such content includes hateful, abusive, offensive, or cyberbullying behavior, i…
State-of-the-art Advances of Deep-learning Linguistic Steganalysis Research
Yihao Wang, Ru Zhang, Yifan Tang +1
With the evolution of generative linguistic steganography techniques, conventional steganalysis falls short in robustly quantifying the alterations induced by steganography, thereb…
Linguistic Steganalysis via LLMs: Two Modes for Efficient Detection of Strongly Concealed Stego
Yifan Tang, Yihao Wang, Ru Zhang +1
To detect stego (steganographic text) in complex scenarios, linguistic steganalysis (LS) with various motivations has been proposed and achieved excellent performance. However, wit…
Dynamically Allocated Interval-Based Generative Linguistic Steganography with Roulette Wheel
Yihao Wang, Ruiqi Song, Lingxiao Li +2
Existing linguistic steganography schemes often overlook the conditional probability (CP) of tokens in the candidate pool, allocating the one coding to all tokens, which results in…
UP4LS: User Profile Constructed by Multiple Attributes for Enhancing Linguistic Steganalysis
Yihao Wang, Ruiqi Song, Lingxiao Li +3
Linguistic steganalysis (LS) tasks aim to detect whether a text contains secret information. Existing LS methods focus on the deep-learning model design and they achieve excellent…