Zonglin Di

According to our database, Zonglin Di authored at least 21 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ClawsBench: Evaluating Capability and Safety of LLM Productivity Agents in Simulated Workspaces.

Xiangyi Li, Kyoung Whan Choe, Yimin Liu, Xiaokun Chen, Chujun Tao, Bingran You, Wenbo Chen, Zonglin Di, Jiankai Sun, Shenghan Zheng, Jiajun Bao, Yuanli Wang, Weixiang Yan, Yiyuan Li, Han-chung Lee

CoRR, April, 2026

CapNav: Benchmarking Vision Language Models on Capability-conditioned Indoor Navigation.

Xia Su, Ruiqi Chen, Benlin Liu, Jingwei Ma, Zonglin Di, Ranjay Krishna, Jon Froehlich

CoRR, February, 2026

SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks.

Xiangyi Li, Wenbo Chen, Yimin Liu, Shenghan Zheng, Xiaokun Chen, Yifeng He, Yubo Li, Bingran You, Haotian Shen, Jiankai Sun, Shuyi Wang, Qunhong Zeng, Di Wang, Xuandong Zhao, Yuanli Wang, Roey Ben Chaim, Zonglin Di, Yipeng Gao, Junwei He, Yizhuo He, Liqiang Jing, Luyang Kong, Xin Lan, Jiachen Li, Songlin Li, Yijiang Li, Yueqian Lin, Xinyi Liu, Xuanqing Liu, Haoran Lyu, Ze Ma, Bowei Wang, Runhui Wang, Tianfu Wang, Wengao Ye, Yue Zhang, Hanwen Xing, Yiqi Xue, Steven Dillmann, Han-Chung Lee

CoRR, February, 2026

2025

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

Proceedings of The 19th International Conference on Neurosymbolic Learning and Reasoning (NeSy 2025), 2025

Adversarial Machine Unlearning.

Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik, Yang Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond.

Minghao Liu, Zonglin Di, Jiaheng Wei, Zhongruo Wang, Hengxiang Zhang, Ruixuan Xiao, Haoyu Wang, Jinlong Pang, Hao Chen, Ankit Shah, Hongxin Wei, Xinlei He, Zhaowei Zhao, Haobo Wang, Lei Feng, Jindong Wang, James Davis, Yang Liu

CoRR, 2024

Label Smoothing Improves Machine Unlearning.

Zonglin Di, Zhaowei Zhu, Jinghan Jia, Jiancheng Liu, Zafar Takhirov, Bo Jiang, Yuanshun Yao, Sijia Liu, Yang Liu

CoRR, 2024

Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning.

Yunchao Zhang, Zonglin Di, Kaiwen Zhou, Cihang Xie, Xin Wang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

A Simple and Provable Approach for Learning on Noisy Labeled Medical Images.

Nan Wang, Zonglin Di, Houlin He, Qingchao Jiang, Xiaoxiao Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Federated Learning with Local Openset Noisy Labels.

Zonglin Di, Zhaowei Zhu, Xiaoxiao Li, Yang Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Large-scale Weakly Supervised Learning for Road Extraction from Satellite Imagery.

Shiqiao Meng, Zonglin Di, Siwei Yang, Yin Wang

CoRR, 2023

T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation.

Jialu Wang, Xinyue Gabby Liu, Zonglin Di, Yang Liu, Xin Eric Wang

CoRR, 2023

T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation.

Jialu Wang, Xinyue Liu, Zonglin Di, Yang Liu, Xin Eric Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

2021

Test-Time Personalization with a Transformer for Human Pose Estimation.

Yizhuo Li, Miao Hao, Zonglin Di, Nitesh B. Gundavarapu, Xiaolong Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery.

Tao Sun, Zonglin Di, Pengyu Che, Chun Liu, Yin Wang

CoRR, 2019

Density Peak-based Pre-clustering Support Vector Machine for Multi-class Imbalanced Classification.

Zonglin Di, Qi Kang, Daogang Peng, Mengchu Zhou

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery.

Tao Sun, Zonglin Di, Pengyu Che, Chun Liu, Yin Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

An Adaptive Pre-clustering Support Vector Machine for Binary Imbalanced Classification.

Zonglin Di, SiYa Yao, Qi Kang, Mengchu Zhou

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Combining Satellite Imagery and GPS Data for Road Extraction.

Tao Sun, Zonglin Di, Yin Wang

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2018