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2020 – today
- 2024
[c9]Zonglin Di, Zhaowei Zhu, Xiaoxiao Li, Yang Liu:
Federated Learning with Local Openset Noisy Labels. ECCV (34) 2024: 38-56- [c8]Nan Wang
, Zonglin Di, Houlin He, Qingchao Jiang, Xiaoxiao Li:
A Simple and Provable Approach for Learning on Noisy Labeled Medical Images. ACM Multimedia 2024: 4397-4405 - [c7]Yunchao Zhang, Zonglin Di, Kaiwen Zhou, Cihang Xie, Xin Wang:
Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning. NAACL-HLT 2024: 1002-1016 - [i9]Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik, Yang Liu:
Adversarial Machine Unlearning. CoRR abs/2406.07687 (2024) - [i8]Zonglin Di, Zhaowei Zhu, Jinghan Jia, Jiancheng Liu, Zafar Takhirov, Bo Jiang, Yuanshun Yao, Sijia Liu, Yang Liu:
Label Smoothing Improves Machine Unlearning. CoRR abs/2406.07698 (2024) - [i7]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:
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond. CoRR abs/2408.11338 (2024) - 2023
- [c6]Jialu Wang, Xinyue Liu, Zonglin Di, Yang Liu, Xin Eric Wang:
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation. ACL (Findings) 2023: 2560-2574 - [i6]Jialu Wang, Xinyue Gabby Liu, Zonglin Di, Yang Liu, Xin Eric Wang:
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation. CoRR abs/2306.00905 (2023) - [i5]Shiqiao Meng, Zonglin Di, Siwei Yang, Yin Wang:
Large-scale Weakly Supervised Learning for Road Extraction from Satellite Imagery. CoRR abs/2309.07823 (2023) - 2022
- [i4]Kaizhi Zheng, Kaiwen Zhou, Jing Gu, Yue Fan, Jialu Wang, Zonglin Di, Xuehai He, Xin Eric Wang:
JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents. CoRR abs/2208.13266 (2022) - [i3]Yunchao Zhang, Zonglin Di, Kaiwen Zhou, Cihang Xie, Xin Wang:
Navigation as the Attacker Wishes? Towards Building Byzantine-Robust Embodied Agents under Federated Learning. CoRR abs/2211.14769 (2022) - 2021
- [c5]Yizhuo Li, Miao Hao, Zonglin Di, Nitesh B. Gundavarapu, Xiaolong Wang:
Test-Time Personalization with a Transformer for Human Pose Estimation. NeurIPS 2021: 2583-2597 - [i2]Miao Hao, Yizhuo Li, Zonglin Di, Nitesh B. Gundavarapu, Xiaolong Wang:
Test-Time Personalization with a Transformer for Human Pose Estimation. CoRR abs/2107.02133 (2021)
2010 – 2019
- 2019
- [c4]Tao Sun, Zonglin Di, Pengyu Che, Chun Liu, Yin Wang:
Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery. CVPR 2019: 7509-7518 - [c3]Zonglin Di, Qi Kang, Daogang Peng, Mengchu Zhou:
Density Peak-based Pre-clustering Support Vector Machine for Multi-class Imbalanced Classification. SMC 2019: 27-32 - [i1]Tao Sun, Zonglin Di, Pengyu Che, Chun Liu, Yin Wang:
Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery. CoRR abs/1905.01447 (2019) - 2018
- [c2]Tao Sun, Zonglin Di, Yin Wang:
Combining Satellite Imagery and GPS Data for Road Extraction. GeoAI@SIGSPATIAL 2018: 29-32 - [c1]Zonglin Di, SiYa Yao, Qi Kang, Mengchu Zhou:
An Adaptive Pre-clustering Support Vector Machine for Binary Imbalanced Classification. SMC 2018: 681-686
Coauthor Index
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