no code implementations • 14 Sep 2023 • Shiqiao Meng, Zonglin Di, Siwei Yang, Yin Wang
Our extensive experimental results show that the prediction accuracy increases with the amount of the weakly labeled data, as well as the road density in the areas chosen for training.
no code implementations • 1 Jun 2023 • Jialu Wang, Xinyue Gabby Liu, Zonglin Di, Yang Liu, Xin Eric Wang
In this work, we seek to measure more complex human biases exist in the task of text-to-image generations.
no code implementations • 27 Nov 2022 • Yunchao Zhang, Zonglin Di, Kaiwen Zhou, Cihang Xie, Xin Eric Wang
However, since the local data is inaccessible to the server under federated learning, attackers may easily poison the training data of the local client to build a backdoor in the agent without notice.
no code implementations • 28 Aug 2022 • Kaizhi Zheng, Kaiwen Zhou, Jing Gu, Yue Fan, Jialu Wang, Zonglin Di, Xuehai He, Xin Eric Wang
Building a conversational embodied agent to execute real-life tasks has been a long-standing yet quite challenging research goal, as it requires effective human-agent communication, multi-modal understanding, long-range sequential decision making, etc.
no code implementations • NeurIPS 2021 • Yizhuo Li, Miao Hao, Zonglin Di, Nitesh B. Gundavarapu, Xiaolong Wang
During test time, we personalize and adapt our model by fine-tuning with the self-supervised objective.
no code implementations • CVPR 2019 • Tao Sun, Zonglin Di, Pengyu Che, Chun Liu, Yin Wang
Deep learning is revolutionizing the mapping industry.