| 2025 | ICCV | DiffTell: A High-Quality Dataset for Describing Image Manipulation Changes. | Zonglin Di, Jing Shi, Yifei Fan, Hao Tan, Alexander Black, John P. Collomosse, Yang Liu |
| 2025 | ICLR | Adversarial Machine Unlearning. | Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik, Yang Liu |
| 2025 | NeSy | JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents. | Kaizhi Zheng, Kaiwen Zhou, Jing Gu, Yue Fan, Jialu Wang, Zonglin Di, Xuehai He, Xin Eric Wang |
| 2024 | ECCV | Federated Learning with Local Openset Noisy Labels. | Zonglin Di, Zhaowei Zhu, Xiaoxiao Li, Yang Liu |
| 2024 | NAACL | Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning. | Yunchao Zhang, Zonglin Di, Kaiwen Zhou, Cihang Xie, Xin Wang |
| 2023 | ACL | T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation. | Jialu Wang, Xinyue Liu, Zonglin Di, Yang Liu, Xin Eric Wang |
| 2019 | CVPR | Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery. | Tao Sun, Zonglin Di, Pengyu Che, Chun Liu, Yin Wang |
| 2019 | SMC | Density Peak-based Pre-clustering Support Vector Machine for Multi-class Imbalanced Classification. | Zonglin Di, Qi Kang, Daogang Peng, Mengchu Zhou |
| 2018 | SMC | An Adaptive Pre-clustering Support Vector Machine for Binary Imbalanced Classification. | Zonglin Di, SiYa Yao, Qi Kang, Mengchu Zhou |