no code implementations • 23 May 2024 • Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin
Worldwide geolocalization aims to locate the precise location at the coordinate level of photos taken anywhere on the Earth.
2 code implementations • 5 Apr 2024 • Zifu Wan, Yuhao Wang, Silong Yong, Pingping Zhang, Simon Stepputtis, Katia Sycara, Yaqi Xie
In this work, we introduce Sigma, a Siamese Mamba network for multi-modal semantic segmentation, utilizing the Selective Structured State Space Model, Mamba.
no code implementations • 31 Mar 2024 • Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
Recommender systems aim to predict user interest based on historical behavioral data.
1 code implementation • 15 Mar 2024 • Pingping Zhang, Yuhao Wang, Yang Liu, Zhengzheng Tu, Huchuan Lu
To address above issues, we propose a novel learning framework named \textbf{EDITOR} to select diverse tokens from vision Transformers for multi-modal object ReID.
2 code implementations • 13 Mar 2024 • Yusheng Liao, Yutong Meng, Yuhao Wang, Hongcheng Liu, Yanfeng Wang, Yu Wang
Large Language Models (LLMs) have demonstrated remarkable proficiency in human interactions, yet their application within the medical field remains insufficiently explored.
no code implementations • 1 Mar 2024 • Yifan Lin, Yuhao Wang, Enlu Zhou
The efficient utilization of historical trajectories obtained from previous policies is essential for expediting policy optimization.
1 code implementation • 27 Feb 2024 • Yuhao Wang, Ruiyang Ren, Junyi Li, Wayne Xin Zhao, Jing Liu, Ji-Rong Wen
By combining the improvements in both architecture and training, our proposed REAR can better utilize external knowledge by effectively perceiving the relevance of retrieved documents.
1 code implementation • 26 Feb 2024 • Yuhao Wang, Lingjuan Miao, Zhiqiang Zhou, Lei Zhang, Yajun Qiao
A language-driven fusion model is then constructed in the embedding space, by establishing the relationship among the embedded vectors to represent the fusion objective and input image modalities.
no code implementations • 20 Feb 2024 • Yang Li, Yuan Shangguan, Yuhao Wang, Liangzhen Lai, Ernie Chang, Changsheng Zhao, Yangyang Shi, Vikas Chandra
This study delves into how weight parameters in speech recognition models influence the overall power consumption of these models.
1 code implementation • 9 Feb 2024 • Yuhao Wang, Ming Gao, Wai Ming Tai, Bryon Aragam, Arnab Bhattacharyya
We develop optimal algorithms for learning undirected Gaussian trees and directed Gaussian polytrees from data.
1 code implementation • 26 Jan 2024 • Qiang Zhang, Keyang Ding, Tianwen Lyv, Xinda Wang, Qingyu Yin, Yiwen Zhang, Jing Yu, Yuhao Wang, Xiaotong Li, Zhuoyi Xiang, Xiang Zhuang, Zeyuan Wang, Ming Qin, Mengyao Zhang, Jinlu Zhang, Jiyu Cui, Renjun Xu, Hongyang Chen, Xiaohui Fan, Huabin Xing, Huajun Chen
Large Language Models (LLMs) have emerged as a transformative power in enhancing natural language comprehension, representing a significant stride toward artificial general intelligence.
1 code implementation • 15 Jan 2024 • Yuhao Wang, Yusheng Liao, Heyang Liu, Hongcheng Liu, Yu Wang, Yanfeng Wang
We believe that these hallucinations are partially due to the models' struggle with understanding what they can and cannot perceive from images, a capability we refer to as self-awareness in perception.
1 code implementation • 15 Dec 2023 • Yuhao Wang, Xuehu Liu, Pingping Zhang, Hu Lu, Zhengzheng Tu, Huchuan Lu
In addition, most of current Transformer-based ReID methods only utilize the global feature of class tokens to achieve the holistic retrieval, ignoring the local discriminative ones.
no code implementations • 5 Sep 2023 • Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang
To address these limitations, we propose a Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendations (HierRec), which perceives implicit patterns adaptively and conducts explicit and implicit scenario modeling jointly.
1 code implementation • 20 Jul 2023 • Ruiyang Ren, Yuhao Wang, Yingqi Qu, Wayne Xin Zhao, Jing Liu, Hao Tian, Hua Wu, Ji-Rong Wen, Haifeng Wang
In this study, we present an initial analysis of the factual knowledge boundaries of LLMs and how retrieval augmentation affects LLMs on open-domain QA.
no code implementations • 12 Jul 2023 • Yuhao Wang
In this paper, we propose a unified Image-Text-Label contrastive learning framework based on continuous prompts, with three main contributions.
no code implementations • 12 Jul 2023 • Yuhao Wang
By referencing the disease-oriented similar report and the visual features, the factual consistency model can generate a more accurate radiology report.
no code implementations • 5 Jun 2023 • Shuyang Jiang, Yuhao Wang, Yu Wang
However, while various methods have been proposed to augment LLMs with retrieved knowledge and enhance the quality of code generation, the performance of these retrieval-based methods is limited by the strength of the retrievers used.
1 code implementation • 7 Feb 2023 • Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Kun Gai, Peng Jiang, Xiangyu Zhao, Yongfeng Zhang
To overcome this challenge, we propose a hyper-actor and critic learning framework where the policy decomposes the item list generation process into a hyper-action inference step and an effect-action selection step.
no code implementations • 7 Feb 2023 • Yuhao Wang, Ha Tsz Lam, Yi Wong, Ziru Liu, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
Multi-task learning (MTL) aims at learning related tasks in a unified model to achieve mutual improvement among tasks considering their shared knowledge.
1 code implementation • 26 Dec 2022 • Tianyi Tang, Junyi Li, Zhipeng Chen, Yiwen Hu, Zhuohao Yu, Wenxun Dai, Zican Dong, Xiaoxue Cheng, Yuhao Wang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen
To facilitate research on text generation, this paper presents a comprehensive and unified library, TextBox 2. 0, focusing on the use of pre-trained language models (PLMs).
Ranked #1 on Abstractive Text Summarization on CNN/Daily Mail
1 code implementation • 25 Nov 2022 • Zihao Li, CHUNHUA WU, Shenglin Wu, Wenbo Wan, Yuhao Wang, Qiegen Liu
To better apply the score-based generative model to learn the internal statistical distribution within patches, the large-scale Hankel matrices are finally folded into the higher dimensional tensors for prior learning.
1 code implementation • 25 Nov 2022 • Bing Guan, Cailian Yang, Liu Zhang, Shanzhou Niu, Minghui Zhang, Yuhao Wang, Weiwen Wu, Qiegen Liu
When the number of projection view changes, the DL network should be retrained with updated sparse-view/full-view CT image pairs.
no code implementations • 21 Nov 2022 • Yuhao Wang, Kai Wang, Xiaohong Liu, Tianrun Gao, Jingyue Zhang, Guangyu Wang
Automated radiology report generation aims at automatically generating a detailed description of medical images, which can greatly alleviate the workload of radiologists and provide better medical services to remote areas.
no code implementations • 2 Nov 2022 • Duc Le, Frank Seide, Yuhao Wang, Yang Li, Kjell Schubert, Ozlem Kalinli, Michael L. Seltzer
We show how factoring the RNN-T's output distribution can significantly reduce the computation cost and power consumption for on-device ASR inference with no loss in accuracy.
no code implementations • 24 Jun 2022 • Yifan Lin, Yuhao Wang, Enlu Zhou
In particular, we consider mean-variance as the risk criterion, and the best arm is the one with the largest mean-variance reward.
no code implementations • 15 Feb 2022 • Guido Imbens, Nathan Kallus, Xiaojie Mao, Yuhao Wang
In this paper, we uniquely tackle the challenge of persistent unmeasured confounders, i. e., some unmeasured confounders that can simultaneously affect the treatment, short-term outcomes and the long-term outcome, noting that they invalidate identification strategies in previous literature.
1 code implementation • 19 Jan 2022 • Xianghao Liao, Shanshan Wang, Lanlan Tu, Yuhao Wang, Dong Liang, Qiegen Liu
Additionally, its performance is not susceptible to different number of virtual coils.
no code implementations • 19 Jan 2022 • Cailian Yang, Xianghao Liao, Yuhao Wang, Minghui Zhang, Qiegen Liu
Two main components are incorporated into the network design, namely variable augmentation technology and sum of squares (SOS) objective function.
1 code implementation • 7 Sep 2021 • Yu Guan, Zongjiang Tu, Shanshan Wang, Qiegen Liu, Yuhao Wang, Dong Liang
In contrast to other generative models for reconstruction, the proposed method utilizes deep energy-based information as the image prior in reconstruction to improve the quality of image.
1 code implementation • 2 Sep 2021 • Yuhao Wang, Ruirui Liu, Zihao Li, Cailian Yang, Qiegen Liu
As an effective way to integrate the information contained in multiple medical images under different modalities, medical image synthesis and fusion have emerged in various clinical applications such as disease diagnosis and treatment planning.
1 code implementation • 14 Aug 2021 • Kai Hong, CHUNHUA WU, Cailian Yang, Minghui Zhang, Yancheng Lu, Yuhao Wang, Qiegen Liu
This work presents an unsupervised deep learning scheme that exploiting high-dimensional assisted score-based generative model for color image restoration tasks.
1 code implementation • 22 Jul 2021 • Arnab Bhattacharyya, Davin Choo, Rishikesh Gajjala, Sutanu Gayen, Yuhao Wang
We also study a couple of new algorithms for the problem: - BatchAvgLeastSquares takes the average of several batches of least squares solutions at each node, so that one can interpolate between the batch size and the number of batches.
4 code implementations • 9 Jul 2021 • Jin Li, Wanyun Li, Zichen Xu, Yuhao Wang, Qiegen Liu
Unsupervised deep learning has recently demonstrated the promise of producing high-quality samples.
1 code implementation • 17 Jun 2021 • Yuhao Wang, Arnab Bhattacharyya
AMP models are described by DAGs on chain components which themselves are undirected graphs.
1 code implementation • 19 Apr 2021 • Tianjin Huang, Vlado Menkovski, Yulong Pei, Yuhao Wang, Mykola Pechenizkiy
Deep neural networks are vulnerable to adversarial examples that are crafted by imposing imperceptible changes to the inputs.
no code implementations • 3 Apr 2021 • Lisu Yu, Zilong Liu, Miaowen Wen, Donghong Cai, Shuping Dang, Yuhao Wang, Pei Xiao
As 5G networks rolling out in many different countries nowadays, the time has come to investigate how to upgrade and expand them towards 6G, where the latter is expected to realize the interconnection of everything as well as the development of a ubiquitous intelligent mobile world for intelligent life.
6 code implementations • 28 Dec 2020 • Kai Hong, Jin Li, Wanyun Li, Cailian Yang, Minghui Zhang, Yuhao Wang, Qiegen Liu
Furthermore, the joint intensity-gradient constraint in data-fidelity term is proposed to limit the degree of freedom within generative model at the iterative colorization stage, and it is conducive to edge-preserving.
1 code implementation • 3 Nov 2020 • Haotian Zhang, Yuhao Wang, Jianyong Sun, Zongben Xu
Efficient exploration is one of the most important issues in deep reinforcement learning.
no code implementations • 16 Oct 2020 • Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra
Inferring graph structure from observations on the nodes is an important and popular network science task.
4 code implementations • CVPR 2020 • Kai Xu, Minghai Qin, Fei Sun, Yuhao Wang, Yen-Kuang Chen, Fengbo Ren
Experiment results show that learning in the frequency domain with static channel selection can achieve higher accuracy than the conventional spatial downsampling approach and meanwhile further reduce the input data size.
no code implementations • 15 Jan 2020 • Yuhao Wang, Vlado Menkovski, Hao Wang, Xin Du, Mykola Pechenizkiy
As systems are getting more autonomous with the development of artificial intelligence, it is important to discover the causal knowledge from observational sensory inputs.
no code implementations • 19 Nov 2019 • Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-Kuang Chen, Yuan Xie, Yanzhi Wang
As a further optimization, we propose a density-adaptive regular-block (DARB) pruning that outperforms prior structured pruning work with high pruning ratio and decoding efficiency.
1 code implementation • 23 Oct 2019 • Zhuonan He, Jinjie Zhou, Dong Liang, Yuhao Wang, Qiegen Liu
Ill-posed inverse problems in imaging remain an active research topic in several decades, with new approaches constantly emerging.
1 code implementation • NeurIPS 2018 • Yuhao Wang, Chandler Squires, Anastasiya Belyaeva, Caroline Uhler
We consider the problem of estimating the differences between two causal directed acyclic graph (DAG) models given i. i. d.~samples from each model.
Methodology
no code implementations • NeurIPS 2017 • Yuhao Wang, Liam Solus, Karren Yang, Caroline Uhler
Learning directed acyclic graphs using both observational and interventional data is now a fundamentally important problem due to recent technological developments in genomics that generate such single-cell gene expression data at a very large scale.