Lu Wei — accepted AI-conference papers

2026

EMMA: Concept Erasure Benchmark with Comprehensive Semantic Metrics and Diverse Categories

CVPR 2026

The widespread adoption of text-to-image (T2I) generation has raised concerns about privacy, bias, and copyright violations. Concept erasure techniques offer a promising solution by selectively removing undesired concepts from pre-trained models without requiring full retraining. However, these meth

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2024

Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism

Ronast Subedi, Lu Wei, Wenhan Gao, Shayok Chakraborty, Yi Liu

NeurIPS 2024poster

Molecular learning is pivotal in many real-world applications, such as drug discovery. Supervised learning requires heavy human annotation, which is particularly challenging for molecular data, e.g., the commonly used density functional theory (DFT) is highly computationally expensive. Active learni…

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