Jingwen Guo — accepted AI-conference papers

2026

DSCodeBench: A Realistic Benchmark for Data Science Code Generation

Shuyin Ouyang, Dong HUANG, Jingwen Guo, Zeyu Sun, Qihao Zhu, Jie M. Zhang

AAAI 2026technical

We introduce DSCodeBench, a new benchmark designed to evaluate large language models (LLMs) on complicated and realistic data science code generation tasks. DSCodeBench consists of 1,000 carefully constructed problems sourced from realistic problems from GitHub across ten widely used Python data sci

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2023

FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation

Jingwen Guo, Hong Liu, Shitong Sun, Tianyu Guo, Min Zhang, Chenyang Si

ICCV 2023poster

Existing skeleton-based action recognition methods typically follow a centralized learning paradigm, which can pose privacy concerns when exposing human-related videos. Federated Learning (FL) has attracted much attention due to its outstanding advantages in privacy-preserving. However, directly app…

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