2 code implementations • 23 Dec 2024 • Daoyuan Chen, Yilun Huang, Xuchen Pan, Nana Jiang, Haibin Wang, Ce Ge, Yushuo Chen, WenHao Zhang, Zhijian Ma, Yilei Zhang, Jun Huang, Wei Lin, Yaliang Li, Bolin Ding, Jingren Zhou
The burgeoning field of foundation models necessitates advanced data processing mechanisms capable of harnessing vast valuable data with varied types utilized by these models.
1 code implementation • 13 Nov 2024 • WenHao Zhang, Matias Quintana, Clayton Miller
The indoor environment significantly impacts human health and well-being; enhancing health and reducing energy consumption in these settings is a central research focus.
no code implementations • 13 Sep 2024 • Shao Zhang, Xihuai Wang, WenHao Zhang, Yongshan Chen, Landi Gao, Dakuo Wang, Weinan Zhang, Xinbing Wang, Ying Wen
Theory of Mind (ToM) significantly impacts human collaboration and communication as a crucial capability to understand others.
1 code implementation • 11 Jul 2024 • Zhen Qin, Daoyuan Chen, WenHao Zhang, Liuyi Yao, Yilun Huang, Bolin Ding, Yaliang Li, Shuiguang Deng
As LLMs and MLLMs rely on vast amounts of model parameters and data to achieve emergent capabilities, the importance of data is receiving increasingly widespread attention and recognition.
1 code implementation • 6 Jul 2024 • Yunzhong Si, Huiying Xu, Xinzhong Zhu, WenHao Zhang, Yao Dong, Yuxing Chen, Hongbo Li
Our SCSA consists of two parts: the Shareable Multi-Semantic Spatial Attention (SMSA) and the Progressive Channel-wise Self-Attention (PCSA).
no code implementations • 27 May 2024 • WenHao Zhang, Bin Huang, Shuyue Chen, Xiaoling Xu, Weiwen Wu, Qiegen Liu
During the prior learning stage, the projection data is first transformed into multiple partitioned Hankel matrices.
1 code implementation • 26 Apr 2024 • WenHao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren
However, in information retrieval community, there is little research on exclusionary retrieval, where users express what they do not want in their queries.
1 code implementation • 18 Apr 2024 • WenHao Zhang, Jun Wang, Yong Luo, Lei Yu, Wei Yu, Zheng He, Jialie Shen
Then we design a spatio-temporal fusion module based on temporal granularity alignment, where the global spatial features extracted from event frames, together with the local relative spatial and temporal features contained in voxel graph list are effectively aligned and integrated.
1 code implementation • 21 Feb 2024 • Dawei Gao, Zitao Li, Xuchen Pan, Weirui Kuang, Zhijian Ma, Bingchen Qian, Fei Wei, WenHao Zhang, Yuexiang Xie, Daoyuan Chen, Liuyi Yao, Hongyi Peng, Zeyu Zhang, Lin Zhu, Chen Cheng, Hongzhu Shi, Yaliang Li, Bolin Ding, Jingren Zhou
With the rapid advancement of Large Language Models (LLMs), significant progress has been made in multi-agent applications.
no code implementations • 19 Feb 2024 • Yang Li, WenHao Zhang, Jianhong Wang, Shao Zhang, Yali Du, Ying Wen, Wei Pan
Among the research topics in multi-agent learning, mixed-motive cooperation is one of the most prominent challenges, primarily due to the mismatch between individual and collective goals.
no code implementations • 8 Feb 2024 • Kelly Payette, Céline Steger, Roxane Licandro, Priscille de Dumast, Hongwei Bran Li, Matthew Barkovich, Liu Li, Maik Dannecker, Chen Chen, Cheng Ouyang, Niccolò McConnell, Alina Miron, Yongmin Li, Alena Uus, Irina Grigorescu, Paula Ramirez Gilliland, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Haoyu Wang, Ziyan Huang, Jin Ye, Mireia Alenyà, Valentin Comte, Oscar Camara, Jean-Baptiste Masson, Astrid Nilsson, Charlotte Godard, Moona Mazher, Abdul Qayyum, Yibo Gao, Hangqi Zhou, Shangqi Gao, Jia Fu, Guiming Dong, Guotai Wang, ZunHyan Rieu, HyeonSik Yang, Minwoo Lee, Szymon Płotka, Michal K. Grzeszczyk, Arkadiusz Sitek, Luisa Vargas Daza, Santiago Usma, Pablo Arbelaez, Wenying Lu, WenHao Zhang, Jing Liang, Romain Valabregue, Anand A. Joshi, Krishna N. Nayak, Richard M. Leahy, Luca Wilhelmi, Aline Dändliker, Hui Ji, Antonio G. Gennari, Anton Jakovčić, Melita Klaić, Ana Adžić, Pavel Marković, Gracia Grabarić, Gregor Kasprian, Gregor Dovjak, Milan Rados, Lana Vasung, Meritxell Bach Cuadra, Andras Jakab
The FeTA Challenge 2022 was able to successfully evaluate and advance generalizability of multi-class fetal brain tissue segmentation algorithms for MRI and it continues to benchmark new algorithms.
no code implementations • 12 Dec 2023 • Yuwei Guo, WenHao Zhang, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu
Visible-infrared person re-identification (VI-ReID) aims to search the same pedestrian of interest across visible and infrared modalities.
2 code implementations • 8 Oct 2023 • Xihuai Wang, Shao Zhang, WenHao Zhang, Wentao Dong, Jingxiao Chen, Ying Wen, Weinan Zhang
ZSC-Eval consists of: 1) Generation of evaluation partner candidates through behavior-preferring rewards to approximate deployment-time partners' distribution; 2) Selection of evaluation partners by Best-Response Diversity (BR-Div); 3) Measurement of generalization performance with various evaluation partners via the Best-Response Proximity (BR-Prox) metric.
1 code implementation • 5 Jun 2023 • Yang Li, Shao Zhang, Jichen Sun, WenHao Zhang, Yali Du, Ying Wen, Xinbing Wang, Wei Pan
In order to solve cooperative incompatibility in learning and effectively address the problem in the context of ZSC, we introduce the Cooperative Open-ended LEarning (COLE) framework, which formulates open-ended objectives in cooperative games with two players using perspectives of graph theory to evaluate and pinpoint the cooperative capacity of each strategy.
no code implementations • 1 Jul 2022 • Minh Cao, Brett Bailey, WenHao Zhang, Solana Fernandez, Aaron Han, Smiti Narayanan, Shrineel Patel, Steven Saletta, Alexandra Stavrakis, Stephen Speicher, Stephanie Seidlits, Arash Naeim, Ramin Ramezani
It is to reduce hospital stay duration and overall medical cost after Total Knee Arthroplasty (TKA) procedures.
no code implementations • 28 Jun 2022 • Minh Cao, Tianqi Zhao, Yanxun Li, WenHao Zhang, Peyman Benharash, Ramin Ramezani
In this paper, we propose a deep transfer learning framework that is aimed to perform classification on a small size training dataset.
no code implementations • 10 May 2021 • WenHao Zhang, Ramin Ramezani, Arash Naeim
We will discuss causal inference and ways to discover the cause-effect from observational studies in healthcare domain.
no code implementations • 8 May 2021 • Ziheng Lin, Yanxiong Li, Zhangjin Huang, WenHao Zhang, Yufeng Tan, YiChun Chen, Qianhua He
Domestic activities clustering from audio recordings aims at merging audio clips which belong to the same class of domestic activity into a single cluster.
1 code implementation • NeurIPS 2019 • Wenhao Zhang, Si Wu, Brent Doiron, Tai Sing Lee
This study provides a normative theory for how Bayesian causal inference can be implemented in neural circuits.
no code implementations • 17 Oct 2019 • Wenhao Zhang, Ramin Ramezani, Arash Naeim
In this paper, we propose a novel method that combines a Weighted Oversampling Technique and ensemble Boosting method (WOTBoost) to improve the classification accuracy of minority data without sacrificing the accuracy of the majority class.
no code implementations • 16 Oct 2019 • Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, Ramin Ramezani
In addition, our methods are based on the multi-task learning framework and mitigate the data sparsity issue.
no code implementations • 7 Mar 2017 • Wenhao Zhang, Liangcai Gao, Runtao Liu
The models are built on the source images are using the Caffe [4] framework.