1 citations · 1 across the 7 of their papers we have counts for
7 papers
Towards the Readability of LLM-Generated Codes through Multitask Representation Engineering
Huifan Gao, Liuhua He, Yinghui Pan +4
Correctness and readability are key measures of code quality, respectively ensuring functional fidelity and ease of comprehension. While most existing research focuses on improving…
WeatherSeg: Weather-Robust Image Segmentation using Teacher-Student Dual Learning and Classifier-Updating Attention
Zhang Zhang, Yifeng Zeng, Houshi Jiang +1
WeatherSeg, an advanced semi-supervised segmentation framework, addresses autonomous driving's environmental perception challenges in adverse weather while reducing annotation cost…
Active Legibility in Multiagent Reinforcement Learning
Yanyu Liu, Yinghui Pan, Yifeng Zeng +2
A multiagent sequential decision problem has been seen in many critical applications including urban transportation, autonomous driving cars, military operations, etc. Its widely k…
Variational Auto-encoder Based Solutions to Interactive Dynamic Influence Diagrams
Yinghui Pan, Biyang Ma, Hanyi Zhang +1
Addressing multiagent decision problems in AI, especially those involving collaborative or competitive agents acting concurrently in a partially observable and stochastic environme…
Inducing Individual Students' Learning Strategies through Homomorphic POMDPs
Huifan Gao, Yifeng Zeng, Yinghui Pan
Optimizing students' learning strategies is a crucial component in intelligent tutoring systems. Previous research has demonstrated the effectiveness of devising personalized learn…
Diversifying Agent's Behaviors in Interactive Decision Models
Yinghui Pan, Hanyi Zhang, Yifeng Zeng +3
Modelling other agents' behaviors plays an important role in decision models for interactions among multiple agents. To optimise its own decisions, a subject agent needs to model w…
Intention Recognition for Multiple Agents
Zhang Zhang, Yifeng Zeng, Yinghui Pan
Intention recognition is an important step to facilitate collaboration among multiple agents. Existing work mainly focuses on intention recognition in a single-agent setting and us…