Portrait photo of Dongsheng Hou

Dongsheng Hou

Shenzhen, China

About Me

I am Dongsheng Hou, currently an undergraduate student in the Department of Computer Science and Engineering at Southern University of Science and Technology (SUSTech). I am a member of the Software Quality Lab, Research Institute of Trustworthy Autonomous Systems (RITAS), under the supervision of Professor Yepang Liu.

Research Interests

Reinforcement LearningGame TheoryWorld ModelSoftware EngineeringMulti-Agent RLAutomated Testing

Background

Education & Lab

Southern University of Science and Technology (SUSTech)

Undergraduate • Class of 2028

Shenzhen Middle School

High School • Class of 2024

SUSTech Software Quality Lab

Current Researcher

Interests

Beyond Code.

BasketballFootballGuitarBassCelloPop MusicRapR&BFitnessTravel

Current Research

SHAPLEYCONTEXTPRUNING: A Cooperative Game Perspective for Context Reranking and Pruning

Submitted: NeurIPS 2026

Framing context reranking and pruning as a cooperative game to surface high-value evidence with Shapley-style contributions.

Role: First Author
Collaborators: Yanqiao Chen, Yuhan Rui

From Spatial to Spectral: An Efficient, Frequency-Guided Feature Representation Learner for Small Object Detection

Submitted: NeurIPS 2026

TL;DR: From Spatial to Spectral, we introduce a plug-and-play Decompose–Enhance–Reconstruct (DER) operator instantiated in the backbone/neck/head to preserve high-frequency cues for efficient small-object detection across diverse detectors.

Role: Second Author

BCPPO: Bachelier-Inspired Constrained Proximal Policy Optimization for Tail-Risk-Aware Safe Reinforcement Learning

Under Review: AAAI 2027

BCPPO combines constrained PPO with bootstrapped cost-critic disagreement and a Bachelier-inspired expected-excess penalty, encouraging caution around uncertain cost predictions while preserving standard critic learning and policy-only deployment.

Role: Co-First Author

WebCover: Marginal Coverage Gain-Guided Submodular RL for Efficient Web Testing

Under Review: ICSE 2027

WebCover frames automated web GUI testing as submodular reinforcement learning, rewarding marginal coverage gains and prioritizing untried actions to reduce redundant interactions and improve coverage within fixed testing budgets.

Role: Co-First Author

Research Interests

Reinforcement Learning

Game Theory

World Model

Software Engineering

Multi-Agent RL

Automated Testing

Connect with me.