no code implementations • 25 Mar 2024 • Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan
This paper presents a general approach for text-to-image diffusion models to address the mutual interference between different subjects and their attachments in complex scenes, pursuing better text-image consistency.
1 code implementation • 7 Feb 2024 • Jinwei Zeng, Yu Liu, Jingtao Ding, Jian Yuan, Yong Li
To relieve this issue by utilizing the strong pattern recognition of artificial intelligence, we incorporate two sources of open data representative of the transportation demand and capacity factors, the origin-destination (OD) flow data and the road network data, to build a hierarchical heterogeneous graph learning method for on-road carbon emission estimation (HENCE).
no code implementations • 13 Nov 2023 • Ziwei He, Jian Yuan, Le Zhou, Jingwen Leng, Bo Jiang
The quadratic complexity of self-attention in Transformers has hindered the processing of long text.
no code implementations • 25 Jun 2023 • Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan
Typical diffusion models and modern large-scale conditional generative models like text-to-image generative models are vulnerable to overfitting when fine-tuned on extremely limited data.
no code implementations • 19 May 2023 • Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan
Our approach only needs the silhouettes of few-shot target samples as training data to learn target geometry distributions and achieve generated shapes with diverse topology and textures.
no code implementations • 18 May 2023 • Yichen Zhu, Jian Yuan, Bo Jiang, Tao Lin, Haiming Jin, Xinbing Wang, Chenghu Zhou
We focus on the case where the underlying joint distribution of complete features and label is invariant, but the missing pattern, i. e., mask distribution may shift agnostically between training and testing.
1 code implementation • 6 Mar 2023 • Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan
We present MotionVideoGAN, a novel video generator synthesizing videos based on the motion space learned by pre-trained image pair generators.
no code implementations • 7 Nov 2022 • Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan
Then we fine-tune DDPMs pre-trained on large source domains to solve the overfitting problem when training data is limited.
no code implementations • 27 Oct 2022 • Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan
It strengthens global image discrimination and guides adapted GANs to preserve more information learned from source domains for higher image quality.
no code implementations • 23 May 2022 • Yue Jin, Shuangqing Wei, Jian Yuan, Xudong Zhang
In this paper, we explore the spatiotemporal structure of agents' decisions and consider the hierarchy of coordination from the perspective of multilevel emergence dynamics, based on which a novel approach, Learning to Advise and Learning from Advice (LALA), is proposed to improve MARL.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 29 Sep 2021 • Yue Jin, Shuangqing Wei, Jian Yuan, Xudong Zhang
In multi-agent deep reinforcement learning, extracting sufficient and compact information of other agents is critical to attain efficient convergence and scalability of an algorithm.
Multi-agent Reinforcement Learning reinforcement-learning +2
1 code implementation • 3 Jul 2021 • Yue Jin, Yue Zhang, Tao Qin, Xudong Zhang, Jian Yuan, Houqiang Li, Tie-Yan Liu
Inspired by the two observations, in this work, we study a new problem, supervised off-policy ranking (SOPR), which aims to rank a set of target policies based on supervised learning by leveraging off-policy data and policies with known performance.