no code implementations • 16 Jun 2025 • Peng Xie, Zhen Zhang, Amr Alanwar
Reachability analysis for hybrid nonaffine systems remains computationally challenging, as existing set representations--including constrained, polynomial, and hybrid zonotopes--either lose tightness under high-order nonaffine maps or suffer exponential blow-up after discrete jumps.
2 code implementations • 6 Apr 2025 • Peng Xie, Johannes Betz, Davide M. Raimondo, Amr Alanwar
Hybrid systems play a crucial role in modeling real-world applications where discrete and continuous dynamics interact, including autonomous vehicles, power systems, and traffic networks.
no code implementations • CVPR 2025 • Peng Xie, Yequan Bie, Jianda Mao, Yangqiu Song, Yang Wang, Hao Chen, Kani Chen
Pre-trained vision-language models (VLMs) have showcased remarkable performance in image and natural language understanding, such as image captioning and response generation.
no code implementations • 9 Oct 2024 • Kerui Huang, Wenbo Xu, Haoliang Hu, XiaoLong Jiang, Lei Sun, Wenyan Zhao, Binbin Long, Shaogang Fan, Zhibo Zhou, Ping Mo, Xiaocheng Jiang, Jianhong Tian, Aihua Deng, Peng Xie, Yun Wang
In this study, we sequenced and analyzed the mitochondrial genome of Cathaya argyrophylla, an endangered and endemic Pinaceae species, uncovering a genome size of 18. 99 Mb, meaning the largest mitochondrial genome reported to date.
no code implementations • 8 Sep 2024 • Peng Xie, Minbo Ma, Bin Wang, Junbo Zhang, Tianrui Li
Accurate prediction of metro Origin-Destination (OD) flow is essential for the development of intelligent transportation systems and effective urban traffic management.
no code implementations • 28 Dec 2023 • Yan Ding, Hao Cheng, Ziliang Ye, Ruyi Feng, Wei Tian, Peng Xie, Juan Zhang, Zhongze Gu
We fine-tuned our proposed pre-trained model on six molecular property prediction tasks (MoleculeNet datasets) and two generative tasks (ZINC250K datasets), achieving state-of-the-art (SOTA) results on five out of eight tasks.
1 code implementation • 27 Oct 2023 • Peng Xie, Kani Chen
The traditional metrics overlook important factors such as latency in real-world applications and code-switching scenarios.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
no code implementations • 7 Aug 2023 • Kerui Huang, Jianhong Tian, Lei Sun, Li Zeng, Peng Xie, Aihua Deng, Ping Mo, Zhibo Zhou, Ming Jiang, Yun Wang, Xiaocheng Jiang
Gene mining is an important topic in the field of life sciences, but traditional machine learning methods cannot consider the regulatory relationships between genes.
no code implementations • 6 Apr 2022 • Peng Xie, Minbo Ma, Tianrui Li, Shenggong Ji, Shengdong Du, Zeng Yu, Junbo Zhang
Second, we employ a dynamic graph relationship learning module to learn dynamic spatial relationships between metro stations without a predefined graph adjacency matrix.
no code implementations • 22 Jan 2022 • Minbo Ma, Peng Xie, Fei Teng, Tianrui Li, Bin Wang, Shenggong Ji, Junbo Zhang
In this paper, we propose a novel Hierarchical Spatio-Temporal Graph Neural Network (HiSTGNN) to model cross-regional spatio-temporal correlations among meteorological variables in multiple stations.
no code implementations • 24 Apr 2021 • Peng Xie, Wenyuan Tao, Jie Li, Wentao Huang, Siming Chen
The core of the approach is a subset embedding network (SEN) that represents a group of subsets as uniformly-formatted embeddings.
no code implementations • 19 Mar 2020 • Donghuan Lu, Sujun Zhao, Peng Xie, Kai Ma, Li-Juan Liu, Yefeng Zheng
To ensure the quality of reconstructed neurons and provide guidance for annotators to improve their efficiency, we propose a deep learning based quality control method for neuron reconstruction in this paper.
no code implementations • 26 Aug 2019 • Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang
Urban spatial-temporal flows prediction is of great importance to traffic management, land use, public safety, etc.