Kun Qian

Adabot: Fault-Tolerant Java Decompiler

2019 · arXiv (Cornell University)

Reverse Engineering(RE) has been a fundamental task in software engineering. However, most of the traditional Java reverse engineering tools are strictly rule defined, thus are not fault-tolerant, which pose serious problem when noise and interference …

Enhancing Item-level Bundle Representation for Bundle Recommendation

2023 · arXiv (Cornell University)

Bundle recommendation approaches offer users a set of related items on a particular topic. The current state-of-the-art (SOTA) method utilizes contrastive learning to learn representations at both the bundle and item levels. However, due to …

Exploring Large Vision-Language Models for Robust and Efficient Industrial Anomaly Detection

2024 · arXiv (Cornell University)

Industrial anomaly detection (IAD) plays a crucial role in the maintenance and quality control of manufacturing processes. In this paper, we propose a novel approach, Vision-Language Anomaly Detection via Contrastive Cross-Modal Training (CLAD), which leverages …

Information Diffusion Prediction With Augmented Diffusion Dependency and Multigranularity Temporal Influence

2025 · IEEE Transactions on Computational Social Systems

Information diffusion prediction plays a pivotal role in the analysis of information propagation across social networks. Many existing methods rely on learning social homophily solely from users’ social connections as a single diffusion dependency to …

Domain Adaptive Dialog Generation via Meta Learning

2019

Domain adaptation is an essential task in dialog system building because there are so many new dialog tasks created for different needs every day. Collecting and annotating training data for these new tasks is costly …