1 code implementation • 8 May 2024 • Zhuohong Li, wei he, Jiepan Li, Hongyan zhang
In this study, we proposed a semi-supervised framework to identify every building's function in large-scale urban areas with multi-modality remote-sensing data.
1 code implementation • 1 Apr 2024 • wei he, Shichun Liu, Jun Zhao, Yiwen Ding, Yi Lu, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang
The generated demos strategically interpolate between existing demos and the given query, transforming the query from OOD to ID.
2 code implementations • 5 Mar 2024 • Zhuohong Li, wei he, Jiepan Li, Fangxiao Lu, Hongyan zhang
However, it is still a non-trivial task hindered by complex ground details, various landforms, and the scarcity of accurate training labels over a wide-span geographic area.
no code implementations • 29 Feb 2024 • Yu Zhang, long wen, Xiangtong Yao, Zhenshan Bing, Linghuan Kong, wei he, Alois Knoll
Subsequently, the hyperparameters of the Gaussian model are trained with a specially compound kernel, and the Gaussian model's online inferential capability and computational efficiency are strengthened by updating a solitary inducing point derived from new samples, in conjunction with the learned hyperparameters.
no code implementations • 26 Feb 2024 • Yu Zhang, Guangyao Tian, long wen, Xiangtong Yao, Liding Zhang, Zhenshan Bing, wei he, Alois Knoll
This paper proposes a LiDAR-based goal-seeking and exploration framework, addressing the efficiency of online obstacle avoidance in unstructured environments populated with static and moving obstacles.
1 code implementation • 26 Feb 2024 • wei he, Kai Han, Yehui Tang, Chengcheng Wang, Yujie Yang, Tianyu Guo, Yunhe Wang
Large language models (LLMs) face a daunting challenge due to the excessive computational and memory requirements of the commonly used Transformer architecture.
1 code implementation • 18 Feb 2024 • Jun Zhao, Can Zu, Hao Xu, Yi Lu, wei he, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang
Large language models (LLMs) have demonstrated impressive performance in understanding language and executing complex reasoning tasks.
1 code implementation • 16 Feb 2024 • Yi Lu, Xin Zhou, wei he, Jun Zhao, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang
Instead of allowing each head to attend to the full sentence, which struggles with generalizing to longer sequences due to out-of-distribution (OOD) issues, we allow each head to process in-distribution length by selecting and attending to important context chunks.
1 code implementation • 8 Feb 2024 • Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, wei he, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang
In this paper, we propose R$^3$: Learning Reasoning through Reverse Curriculum Reinforcement Learning (RL), a novel method that employs only outcome supervision to achieve the benefits of process supervision for large language models.
no code implementations • 11 Jan 2024 • Dongyi Li, Dong Chu, Xiaobin Guan, wei he, Huanfeng Shen
On the one hand, the stripe noise is separately modeled by the tensor decomposition, which can effectively encode the spatial-spectral correlation of the stripe noise.
no code implementations • 1 Dec 2023 • Ying Nie, wei he, Kai Han, Yehui Tang, Tianyu Guo, Fanyi Du, Yunhe Wang
Moreover, based on the observation that the accuracy of CLIP model does not increase correspondingly as the parameters of text encoder increase, an extra objective of masked language modeling (MLM) is leveraged for maximizing the potential of the shortened text encoder.
no code implementations • 28 Nov 2023 • Jiepan Li, Fangxiao Lu, Nan Xue, Zhuohong Li, Hongyan zhang, wei he
In this paper, we propose an overlapped window cross-level attention (OWinCA) to achieve the low-level feature enhancement guided by the highest-level features.
3 code implementations • NeurIPS 2023 • Chengcheng Wang, wei he, Ying Nie, Jianyuan Guo, Chuanjian Liu, Kai Han, Yunhe Wang
In the past years, YOLO-series models have emerged as the leading approaches in the area of real-time object detection.
no code implementations • 15 Sep 2023 • wei he, Jiachen Yan, Romeo Ortega, Daniele Zonetti, Wangping Zhou
In [1] a new adaptive phase-locked loop scheme for synchronization of a grid connected voltage source converter with guaranteed (almost) global stability properties was reported.
1 code implementation • 14 Sep 2023 • Zhiheng Xi, Wenxiang Chen, Xin Guo, wei he, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, Rui Zheng, Xiaoran Fan, Xiao Wang, Limao Xiong, Yuhao Zhou, Weiran Wang, Changhao Jiang, Yicheng Zou, Xiangyang Liu, Zhangyue Yin, Shihan Dou, Rongxiang Weng, Wensen Cheng, Qi Zhang, Wenjuan Qin, Yongyan Zheng, Xipeng Qiu, Xuanjing Huang, Tao Gui
Many efforts have been made to develop intelligent agents, but they mainly focus on advancement in algorithms or training strategies to enhance specific capabilities or performance on particular tasks.
1 code implementation • 23 Jul 2023 • wei he, Jiepan Li, Weinan Cao, Liangpei Zhang, Hongyan zhang
Building extraction aims to segment building pixels from remote sensing images and plays an essential role in many applications, such as city planning and urban dynamic monitoring.
Ranked #1 on Semantic Segmentation on INRIA Aerial Image Labeling
no code implementations • 9 Mar 2023 • Zhuohong Li, wei he, Hongyan zhang
With the rapid urbanization of China, there is an urgent need for creating a very-high-resolution (VHR) national-scale LC map for China.
no code implementations • 27 Dec 2022 • Zehua Sun, Yonghui Xu, Yong liu, wei he, Lanju Kong, Fangzhao Wu, Yali Jiang, Lizhen Cui
Federated learning has recently been applied to recommendation systems to protect user privacy.
1 code implementation • 27 Oct 2022 • Jiepan Li, wei he, Hongyan zhang
In Stage A, the first branch decoder of the difference-aware decoder is used to obtain a guide map.
no code implementations • 3 Sep 2022 • Huiyi Guo, wei he, Bin Liu
We study the revenue-maximizing mechanism when a buyer's value evolves endogenously because of learning-by-consuming.
no code implementations • 16 Jul 2022 • Zhongzhan Huang, Senwei Liang, Mingfu Liang, wei he, Haizhao Yang, Liang Lin
Recently many plug-and-play self-attention modules (SAMs) are proposed to enhance the model generalization by exploiting the internal information of deep convolutional neural networks (CNNs).
no code implementations • 30 May 2022 • Yixin Zhang, Yong liu, Yonghui Xu, Hao Xiong, Chenyi Lei, wei he, Lizhen Cui, Chunyan Miao
Specifically, GCL4SR employs a Weighted Item Transition Graph (WITG), built based on interaction sequences of all users, to provide global context information for each interaction and weaken the noise information in the sequence data.
1 code implementation • 6 Apr 2022 • Sanqing Qu, Guang Chen, Jing Zhang, Zhijun Li, wei he, DaCheng Tao
Source-free Domain Adaptation (SFDA) aims to adapt a pre-trained source model to the unlabeled target domain without accessing the well-labeled source data, which is a much more practical setting due to the data privacy, security, and transmission issues.
no code implementations • 1 Mar 2022 • Minghan Chen, Chunrui Xu, Ziang Xu, wei he, Haorui Zhang, Jing Su, Qianqian Song
Those genes involved in the TGF-\b{eta} pathway and their crosstalk with the ERBB pathway presented a strong survival prognosis in clinical lung cancer samples.
no code implementations • 18 Jul 2021 • Shutai Wang, Qiang Fu, Yinhao Hu, Chunhua Zhang, wei he
Small target detection is known to be a challenging problem.
no code implementations • 13 Jul 2021 • Zhongzhan Huang, Mingfu Liang, Senwei Liang, wei he
Deep neural networks suffer from catastrophic forgetting when learning multiple knowledge sequentially, and a growing number of approaches have been proposed to mitigate this problem.
no code implementations • 11 Jul 2021 • wei he, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang
One filter could be important according to a certain criterion, while it is unnecessary according to another one, which indicates that each criterion is only a partial view of the comprehensive "importance".
no code implementations • 16 Jun 2021 • wei he, Xiang Sun, Yeneng Sun, Yishu Zeng
This paper studies Bayesian games with general action spaces, correlated types and interdependent payoffs.
no code implementations • 24 Mar 2021 • Rui Li, Yunjiang Jiang, WenYun Yang, Guoyu Tang, Songlin Wang, Chaoyi Ma, wei he, Xi Xiong, Yun Xiao, Eric Yihong Zhao
We introduce deep learning models to the two most important stages in product search at JD. com, one of the largest e-commerce platforms in the world.
no code implementations • 2 Mar 2021 • Danfeng Hong, wei he, Naoto Yokoya, Jing Yao, Lianru Gao, Liangpei Zhang, Jocelyn Chanussot, Xiao Xiang Zhu
Hyperspectral imaging, also known as image spectrometry, is a landmark technique in geoscience and remote sensing (RS).
1 code implementation • 6 Jan 2021 • wei he, Meiqing Wu, Mingfu Liang, Siew-Kei Lam
In this paper, we advocate the importance of contextual information during channel pruning for semantic segmentation networks by presenting a novel Context-aware Pruning framework.
1 code implementation • 6 Jan 2021 • wei he, Meiqing Wu, Mingfu Liang, Siew-Kei Lam
In this paper, we advocate the importance of contextual information during channel pruning for semantic segmentation networks by presenting a novel Context-aware Pruning framework.
no code implementations • 1 Jan 2021 • Bingbing Song, wei he, Renyang Liu, Shui Yu, Ruxin Wang, Mingming Gong, Tongliang Liu, Wei Zhou
Several state-of-the-arts start from improving the inter-class separability of training samples by modifying loss functions, where we argue that the adversarial samples are ignored and thus limited robustness to adversarial attacks is resulted.
no code implementations • 30 Dec 2020 • wei he, Naoto Yokoya, Xin Yuan
Specifically, the RGB measurement is utilized to estimate the coefficients, meanwhile the CASSI measurement is adopted to provide the orthogonal spectral basis.
no code implementations • 14 Dec 2020 • Rebecca W. Smaha, Idris Boukahil, Charles J. Titus, Jack Mingde Jiang, John P. Sheckelton, wei he, Jiajia Wen, John Vinson, Suyin Grass Wang, Yu-Sheng Chen, Simon J. Teat, Thomas P. Devereaux, C. Das Pemmaraju, Young S. Lee
Realizing a quantum spin liquid (QSL) ground state in a real material is a leading issue in condensed matter physics research.
Strongly Correlated Electrons Materials Science
1 code implementation • 28 Nov 2020 • Zhongzhan Huang, Senwei Liang, Mingfu Liang, wei he, Haizhao Yang
Recently, many plug-and-play self-attention modules are proposed to enhance the model generalization by exploiting the internal information of deep convolutional neural networks (CNNs).
1 code implementation • 19 Nov 2020 • Linxi Huan, Nan Xue, Xianwei Zheng, wei he, Jianya Gong, Gui-Song Xia
This paper presents a context-aware tracing strategy (CATS) for crisp edge detection with deep edge detectors, based on an observation that the localization ambiguity of deep edge detectors is mainly caused by the mixing phenomenon of convolutional neural networks: feature mixing in edge classification and side mixing during fusing side predictions.
Ranked #2 on Edge Detection on MDBD
no code implementations • 15 Nov 2020 • Peng Zhang, Yongchun Fang, Xiao Liang, He Lin, wei he
Due to the limitation of the drone's load capacity, various specific tasks need to be accomplished by multiple drones in collaboration.
Dynamical Systems Systems and Control Systems and Control
1 code implementation • 24 Oct 2020 • wei he, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao, Hongyan zhang, Liangpei Zhang
Non-local low-rank tensor approximation has been developed as a state-of-the-art method for hyperspectral image (HSI) restoration, which includes the tasks of denoising, compressed HSI reconstruction and inpainting.
no code implementations • 10 Sep 2020 • Jingwen Zhang, Defu Yang, wei he, Guorong Wu, Minghan Chen
Currently, many studies of Alzheimer's disease (AD) are investigating the neurobiological factors behind the acquisition of beta-amyloid (A), pathologic tau (T), and neurodegeneration ([N]) biomarkers from neuroimages.
1 code implementation • ECCV 2020 • Tatsumi Uezato, Danfeng Hong, Naoto Yokoya, wei he
The proposed network is composed of an encoder-decoder network that exploits multi-scale features of a guidance image and a deep decoder network that generates an output image.
no code implementations • 23 Jul 2020 • Tatsumi Uezato, Naoto Yokoya, wei he
Although many spectral unmixing models have been developed to address spectral variability caused by variable incident illuminations, the mechanism of the spectral variability is still unclear.
1 code implementation • 9 Jun 2020 • Naoto Yokoya, Kazuki Yamanoi, wei he, Gerald Baier, Bruno Adriano, Hiroyuki Miura, Satoru Oishi
We propose a framework that estimates inundation depth (maximum water level) and debris-flow-induced topographic deformation from remote sensing imagery by integrating deep learning and numerical simulation.
no code implementations • 6 Jan 2020 • Wei He, Yong Chen, Naoto Yokoya, Chao Li, Qibin Zhao
In this paper, we propose a new model, named coupled tensor ring factorization (CTRF), for HSR.
2 code implementations • CVPR 2019 • Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao
This is done by first learning a low-dimensional projection and the related reduced image from the noisy HSI.
Ranked #10 on Hyperspectral Image Denoising on ICVL-HSI-Gaussian50
no code implementations • EMNLP 2018 • Xingwu Sun, Jing Liu, Yajuan Lyu, wei he, Yanjun Ma, Shi Wang
(2) The model copies the context words that are far from and irrelevant to the answer, instead of the words that are close and relevant to the answer.
no code implementations • 30 Jul 2018 • Xianyan Jia, Shutao Song, wei he, Yangzihao Wang, Haidong Rong, Feihu Zhou, Liqiang Xie, Zhenyu Guo, Yuanzhou Yang, Liwei Yu, Tiegang Chen, Guangxiao Hu, Shaohuai Shi, Xiaowen Chu
(3) We propose highly optimized all-reduce algorithms that achieve up to 3x and 11x speedup on AlexNet and ResNet-50 respectively than NCCL-based training on a cluster with 1024 Tesla P40 GPUs.
no code implementations • 26 Jul 2018 • Wei He, Naoto Yokoya
In this paper, we present the optical image simulation from a synthetic aperture radar (SAR) data using deep learning based methods.
no code implementations • ACL 2018 • Yizhong Wang, Kai Liu, Jing Liu, wei he, Yajuan Lyu, Hua Wu, Sujian Li, Haifeng Wang
Machine reading comprehension (MRC) on real web data usually requires the machine to answer a question by analyzing multiple passages retrieved by search engine.
Ranked #3 on Question Answering on MS MARCO
1 code implementation • ICLR 2018 • chao qiao, Bo Huang, guocheng niu, daren li, daxiang dong, wei he, dianhai yu, Hua Wu
In this paper, we propose a new method of learning and utilizing task-specific distributed representations of n-grams, referred to as “region embeddings”.
3 code implementations • WS 2018 • Wei He, Kai Liu, Jing Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yu-An Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang
Experiments show that human performance is well above current state-of-the-art baseline systems, leaving plenty of room for the community to make improvements.
1 code implementation • COLING 2016 • Zhe Wang, wei he, Hua Wu, Haiyang Wu, Wei Li, Haifeng Wang, Enhong Chen
Chinese poetry generation is a very challenging task in natural language processing.
no code implementations • ACL 2016 • Yong Cheng, Wei Xu, Zhongjun He, wei he, Hua Wu, Maosong Sun, Yang Liu
While end-to-end neural machine translation (NMT) has made remarkable progress recently, NMT systems only rely on parallel corpora for parameter estimation.
1 code implementation • 15 Dec 2015 • Yong Cheng, Shiqi Shen, Zhongjun He, wei he, Hua Wu, Maosong Sun, Yang Liu
The attentional mechanism has proven to be effective in improving end-to-end neural machine translation.
1 code implementation • ACL 2016 • Shiqi Shen, Yong Cheng, Zhongjun He, wei he, Hua Wu, Maosong Sun, Yang Liu
We propose minimum risk training for end-to-end neural machine translation.