Online Open-set Semi-supervised Object Detection via Semi-supervised Outlier Filtering. - Zerun Wang; Ling Xiao 001; Liuyu Xiang; Zhaotian Weng; Toshihiko Yamasaki (CoRR, 2023)

Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective. - Zhaotian Weng; Zijun Gao; Jerone Theodore Alexander Andrews; Jieyu Zhao 001 (EMNLP, 2024)

Representation learning with CGAN for casual inference. - Zhaotian Weng; Jianbo Hong; Lan Wang (CoRR, 2024)

Towards More Accurate US Presidential Election via Multi-step Reasoning with Large Language Models. - Chenxiao Yu; Zhaotian Weng; Yuangang Li 002; Zheng Li; Xiyang Hu; Yue Zhao 016 (CoRR, 2024)

A Large-scale Empirical Study on Large Language Models for Election Prediction. - Chenxiao Yu; Zhaotian Weng; Yuangang Li 002; Zheng Li; Xiyang Hu; Yue Zhao 016 (CoRR, 2024)

BIASINSPECTOR: Detecting Bias in Structured Data through LLM Agents. - Haoxuan Li; Mingyu Derek Ma; Jen-tse Huang 001; Zhaotian Weng; Wei Wang 010; Jieyu Zhao 001 (CoRR, 2025)

What's Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning. - Zhaotian Weng; Haoxuan Li; Kuan-Hao Huang; Jieyu Zhao 001 (CoRR, 2025)