| 2026 | ACL | Trustworthy and Explainable Causal Representation Learning in Transformers. | Yang Liu, Yinghao Zhang, Lin Liu, Jiuyong Li, Debo Cheng, Zaiwen Feng |
| 2025 | CIKM | Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment. | Bo Zhao, Yinghao Zhang, Ziqi Xu, Yongli Ren, Xiuzhen Zhang, Renqiang Luo, Zaiwen Feng, Feng Xia |
| 2025 | CogSci | A Brain-Inspired Multimodal Sentiment Analysis Framework via Rationale-Guided Representation. | Gaifang Luo, Hao Zhang, Haomin Tan, Zhijing Wu, Yinghao Zhang, Dan Xu |
| 2025 | DSN | Detecting Code Vulnerabilities using LLMs. | Larry Huynh, Yinghao Zhang, Djimon Jayasundera, Woojin Jeon, Hyoungshick Kim, Tingting Bi, Jin B. Hong |
| 2025 | ICDM | POSFed: Tackling Non-IID Challenges in One-Shot Federated Learning via Personalization. | Yinghao Zhang, Xuanzhe Xiao, Jianxiong Guo, Zhiqing Tang, Qiufen Ni, Weili Wu |
| 2023 | ICDM | Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference. | Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng |
| 2023 | ICIP | Deep Unrolling Shrinkage Network for Dynamic MR Imaging. | Yinghao Zhang, Xiaodi Li, Weihang Li, Yue Hu |
| 2023 | MICCAI | A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images. | Yinghao Zhang, Donghuan Lu, Munan Ning, Liansheng Wang, Dong Wei, Yefeng Zheng |
| 2023 | PRDC | Entropy-based Selective Homomorphic Encryption for Smart Metering Systems. | Weiyan Xu, Yinghao Zhang, Rachel Cardell-Oliver, Ajmal Mian, Jin B. Hong |
| 2023 | WISE | A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation. | Tingting Xu, Yinghao Zhang, Jiuyong Li, Lin Liu, Ziqi Xu, Debo Cheng, Zaiwen Feng |
| 2022 | HPCC | Matching Using Sufficient Dimension Reduction for Heterogeneity Causal Effect Estimation. | Haoran Zhao, Yinghao Zhang, Debo Cheng, Chen Li, Zaiwen Feng |