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Shing Chi Cheung

Professor

The Hong Kong University of Science and Technology

Hong Kong

Research Interests

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Professors in Artificial Intelligence

Articles (20)

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2026

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2026

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2025

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2025

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2025

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2025

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2025

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2025

Collaborators (10)

Lili Wei

Assistant Professor

McGill University

CANADA

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Yongqiang Tian

Assistant Professor

Monash University Malaysia.

AUSTRALIA

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Yepang Liu

Assistant Professor

Southern University of Science and Technology (SUSTech)

CHINA

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Michael Lyu

Professor

The Chinese University of Hong Kong (CUHK)

HONG KONG

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Zhenlan Ji

Assitant Professor

Nara Institute of Science and Technology（NAIST）

JAPAN

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Junwei Zhang

Research Fellow (a.k.a Assistant Research Professor)

Zhejiang University

CHINA

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Haoye TIAN

Assistant Professor

Aalto University

FINLAND

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Valerio Terragni

Senior Lecturer

University of Auckland

NEW ZEALAND

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Chengnian Sun

Associate Professor

University of Waterloo

CANADA

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Shuai Wang

Assistant Professor

The Hong Kong University of Science and Technology

HONG KONG

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Shing Chi Cheung

Research Interests

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Articles (20)

CAM: A Causality-Based Analysis Framework for Multi-agent Code Generation Systems

GraphDroid: Asynchronous LLM-Based Mobile App GUI Testing via History-Aware Exploration and Hybrid Intent Fulfillment

Look Before You Leap: Context-Sensitive GUI Grounding for Boosting Automated Extended Reality (XR) Testing

Automated Unit Test Generation via Chain-of-Thought Prompt and Reinforcement Learning from Coverage Feedback

Can Emulating Semantic Translation Help LLMs with Code Translation? A Study Based on Pseudocode

Less Is More: Failing Test Generation with Large Language Models

FAiLGen: Calibrating LLM for Failing Test Generation with Monte Carlo Tree Search

What Makes In-Context Examples Effective for Code Generation?

MR-Coupler: Automated Metamorphic Test Generation via Functional Coupling Analysis

When Retrieval Augmentation Meets API Documentation: Can LLMs Code with Less-Common Libraries?

Bounded Exhaustive Random Program Generation for Testing Solidity Compilers

EmbedAgent: Benchmarking Large Language Models in Embedded System Development

Optimization-Aware Test Generation for Deep Learning Compilers

ModelWisdom: An Integrated Toolkit for TLA$$^{+}$$ Model Visualization, Digest and Repair (Short Tool Paper)

An Empirical Study of Bugs in Data Visualization Libraries

Enhancing Differential Testing With LLMs For Testing Deep Learning Libraries

Understanding and Characterizing Mock Assertions in Unit Tests

Question Selection for Multimodal Code Search Synthesis Using Probabilistic Version Spaces

CodeCleaner: Mitigating Data Contamination for LLM Benchmarking

SemBIC: Semantic-Aware Identification of Bug-Inducing Commits

Collaborators (10)

Lili Wei

Yongqiang Tian

Yepang Liu

Michael Lyu

Zhenlan Ji

Junwei Zhang

Haoye TIAN

Valerio Terragni

Chengnian Sun

Shuai Wang

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