Combining Satellite Imagery and GPS Data for Road Extraction. - Tao Sun; Zonglin Di; Yin Wang (GeoAI@SIGSPATIAL, 2018)

An Adaptive Pre-clustering Support Vector Machine for Binary Imbalanced Classification. - Zonglin Di; SiYa Yao; Qi Kang; Mengchu Zhou (SMC, 2018)

Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery. - Tao Sun 019; Zonglin Di; Pengyu Che; Chun Liu; Yin Wang (CVPR, 2019)

Density Peak-based Pre-clustering Support Vector Machine for Multi-class Imbalanced Classification. - Zonglin Di; Qi Kang; Daogang Peng; Mengchu Zhou (SMC, 2019)

Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery. - Tao Sun; Zonglin Di; Pengyu Che; Chun Liu; Yin Wang (CoRR, 2019)

Test-Time Personalization with a Transformer for Human Pose Estimation. - Yizhuo Li 001; Miao Hao; Zonglin Di; Nitesh B. Gundavarapu; Xiaolong Wang 004 (NeurIPS, 2021)

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 (CoRR, 2022)

Navigation as the Attacker Wishes? Towards Building Byzantine-Robust Embodied Agents under Federated Learning. - Yunchao Zhang; Zonglin Di; Kaiwen Zhou; Cihang Xie; Xin Wang (CoRR, 2022)

T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation. - Jialu Wang; Xinyue Liu; Zonglin Di; Yang Liu 018; Xin Eric Wang (ACL (Findings), 2023)

T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation. - Jialu Wang; Xinyue Gabby Liu; Zonglin Di; Yang Liu 018; Xin Eric Wang (CoRR, 2023)

Large-scale Weakly Supervised Learning for Road Extraction from Satellite Imagery. - Shiqiao Meng; Zonglin Di; Siwei Yang; Yin Wang (CoRR, 2023)

Federated Learning with Local Openset Noisy Labels. - Zonglin Di; Zhaowei Zhu; Xiaoxiao Li; Yang Liu 018 (ECCV (34), 2024)

A Simple and Provable Approach for Learning on Noisy Labeled Medical Images. - Nan Wang 027; Zonglin Di; Houlin He; Qingchao Jiang; Xiaoxiao Li (ACM Multimedia, 2024)

Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning. - Yunchao Zhang; Zonglin Di; Kaiwen Zhou; Cihang Xie; Xin Wang (NAACL-HLT, 2024)

Label Smoothing Improves Machine Unlearning. - Zonglin Di; Zhaowei Zhu; Jinghan Jia; Jiancheng Liu; Zafar Takhirov; Bo Jiang; Yuanshun Yao; Sijia Liu 001; Yang Liu 018 (CoRR, 2024)

Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond. - Minghao Liu 009; Zonglin Di; Jiaheng Wei; Zhongruo Wang; Hengxiang Zhang; Ruixuan Xiao; Haoyu Wang 001; Jinlong Pang; Hao Chen 102; Ankit Shah 001; Hongxin Wei; Xinlei He 001; et al. (CoRR, 2024)

Adversarial Machine Unlearning. - Zonglin Di; Sixie Yu; Yevgeniy Vorobeychik; Yang Liu 018 (ICLR, 2025)