I am a third-year Ph.D. student in the School of Computer Science and Engineering at University of Electronic Science and Technology of China, advised by Prof. Kai Zheng and Han Su. In 2021, I obtained my B.S. degree from Chongqing University of Posts and Telecommunications. Google Scholar.

Research Interests

• LLM Agent & Agent Memory
  I focus on leveraging Reinforcement Learning (RL) and Agent Memory to enhance the capabilities of large language model (LLM)-based agents in vertical domains. Previously, I contributed to an intelligent database operations and maintenance project, developing an autonomous agent that emulates experts’ iterative “Think–Act–Observe” cognitive workflow. This agent integrates dynamic tool-use mechanisms, a structured agent memory system, and an RL-driven reasoning engine to achieve fully autonomous database operation and maintenance, representing a significant step toward self-driving database administration.

• Autonomous Driving & Embodied Intelligence
  I have published six papers as the first author on efficient perception and intelligent decision-making for autonomous driving, with research focusing on reinforcement learning–based decision-making, Bayesian optimization for adaptive perception configuration tuning, and attention-based multi-modal fusion algorithms. My work aims to build computationally efficient perception systems and holistic decision frameworks for autonomous driving.

• Database Operations and Maintenance & Query Optimization
  I completed a nearly two-year internship at Huawei Cloud’s Innovation Lab and Enterprise Intelligence (EI) Architecture and Design Team, where I worked on two key projects: the Intelligent Plan Caching project, which used deep learning to predict and cache optimal query execution plans, and the Intelligent Database Operations and Maintenance project, which leveraged LLMs to build an autonomous agent for slow query diagnosis and database optimization.

Internship

• 2025.3-now, Intelligent Database Operations and Maintenance, Huawei Cloud’s Enterprise Intelligence (EI) Architecture and Design Team.

• 2024.1-2024.10, Intelligent Plan Caching, Huawei Cloud’s Innovation Lab

Selected Publications

Autonomous Driving

Impact-aware Maneuver Decision with Driving Style Tuning for Autonomous Vehicle.
Yuyang Xia, Shuncheng Liu, Yan Zhao, Han Su, Xiaofang Zhou, Kai Zheng.
TKDE, 2026.

Energy-Efficient Velocity Control with State Augmentation for Autonomous Vehicles. Yuyang Xia, Shuncheng Liu, Xu Chen, Yan Zhao, Han Su, Xiaofang Zhou, Kai Zheng.
TKDE, 2026.

Energy-Efficient Autonomous Driving with Adaptive Perception and Robust Decision.
Yuyang Xia, Zibo Liang, Liwei Deng, Yan Zhao, Han Su, Kai Zheng.
ICDE, 2026.

Parameterized decision-making with multi-modal perception for autonomous driving.
Yuyang Xia, Shuncheng Liu, Quanlin Yu, Liwei Deng, You Zhang, Han Su, Kai Zheng.
ICDE, 2024.

Rise: A velocity control framework with minimal impacts based on reinforcement learning.
Yuyang Xia, Shuncheng Liu, Xu Chen, Zhi Xu, Kai Zheng, Han Su.
CIKM, 2022.

Smart: A decision-making framework with multi-modality fusion for autonomous driving based on reinforcement learning.
Yuyang Xia, Shuncheng Liu, Rui Hu, Quanlin Yu, Xiushi Feng, Kai Zheng, Han Su. DASFAA, 2023.

Database

DACE: A Database-Agnostic Cost Estimator.
Zibo Liang, Xu Chen, Yuyang Xia, Runfan Ye, Haitian Chen, Jiandong Xie, Kai Zheng.
ICDE, 2024.