no code implementations • 24 Dec 2024 • Rui Xiao, Jiong Wang, Lu Han, Na Zong, Han Wu
Applying large language models (LLMs) as teaching assists has attracted much attention as an integral part of intelligent education, particularly in computing courses.
no code implementations • 3 Dec 2024 • Chaoxiong Ma, Yan Liang, Xinyu Yang, Han Wu, Huixia Zhang
However, existing distributed evidence fusion methods lead to participants' preference leakage and fusion failures as they directly exchange raw evidence and do not assess evidence credibility like centralized credible evidence fusion (CCEF) does.
no code implementations • 26 Nov 2024 • Teng Wang, Wing-Yin Yu, Zhenqi He, Zehua Liu, Xiongwei Han, Hailei Gong, Han Wu, Wei Shi, Ruifeng She, Fangzhou Zhu, Tao Zhong
LLMs exhibit advanced reasoning capabilities, offering the potential to transform natural language questions into mathematical models.
no code implementations • 3 Oct 2024 • Yuxuan Yao, Han Wu, Mingyang Liu, Sichun Luo, Xiongwei Han, Jie Liu, Zhijiang Guo, Linqi Song
Large language models (LLMs) exhibit varying strengths and weaknesses across different tasks, prompting recent studies to explore the benefits of ensembling models to leverage their complementary advantages.
1 code implementation • 2 Oct 2024 • Lishan Zhang, Han Wu, Xiaoshan Huang, Tengfei Duan, Hanxiang Du
To evaluate the usefulness of large language models in automatic deductive coding, we employed three different classification methods driven by different artificial intelligence technologies, including the traditional text classification method with text feature engineering, BERT-like pretrained language model and GPT-like pretrained large language model (LLM).
no code implementations • 17 Sep 2024 • Jiahui Gao, Renjie Pi, Tianyang Han, Han Wu, Lanqing Hong, Lingpeng Kong, Xin Jiang, Zhenguo Li
The deployment of multimodal large language models (MLLMs) has demonstrated remarkable success in engaging in conversations involving visual inputs, thanks to the superior power of large language models (LLMs).
no code implementations • 26 Jun 2024 • Shaowei Wang, Changyu Dong, Xiangfu Song, Jin Li, Zhili Zhou, Di Wang, Han Wu
PIC enables personalized outputs while preserving privacy, and enjoys privacy amplification through shuffling.
no code implementations • 19 Jun 2024 • Shun Wang, Ge Zhang, Han Wu, Tyler Loakman, Wenhao Huang, Chenghua Lin
Machine Translation (MT) has developed rapidly since the release of Large Language Models and current MT evaluation is performed through comparison with reference human translations or by predicting quality scores from human-labeled data.
1 code implementation • 18 Jun 2024 • Han Wu, Chong Wang, Lanzhuju Mei, Tong Yang, Min Zhu, Dingggang Shen, Zhiming Cui
To our knowledge, this is the first effort toward developing a unified solution and dataset for cephalometric landmark detection across age groups.
1 code implementation • 3 Jun 2024 • Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen
Cross-modal transformers have demonstrated superiority in various vision tasks by effectively integrating different modalities.
Ranked #1 on
Semantic Segmentation
on SUN-RGBD
1 code implementation • 28 Mar 2024 • Yuxuan Yao, Han Wu, Zhijiang Guo, Biyan Zhou, Jiahui Gao, Sichun Luo, Hanxu Hou, Xiaojin Fu, Linqi Song
Large language models (LLMs) have demonstrated outstanding performance across various tasks, yet they still exhibit limitations such as hallucination, unfaithful reasoning, and toxic content.
1 code implementation • 8 Mar 2024 • Yahao Lu, Yupei Lin, Han Wu, Xiaoyu Xian, Yukai Shi, Liang Lin
The quality, quantity, and diversity of the infrared dataset are critical to the detection of small targets.
1 code implementation • 28 Feb 2024 • Cidan Shi, Lihuang Fang, Han Wu, Xiaoyu Xian, Yukai Shi, Liang Lin
Specifically, we introduce cooperative learning between visible and infrared images captured by different sensors.
1 code implementation • 7 Feb 2024 • Jianyuan Guo, Zhiwei Hao, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu
Training general-purpose vision models on purely sequential visual data, eschewing linguistic inputs, has heralded a new frontier in visual understanding.
1 code implementation • CVPR 2024 • Han Wu, Guanyan Ou, Weibin Wu, Zibin Zheng
WS obtains an approximate ensemble of numerous pruned models to perform model augmentation which can be conveniently synergized with SASD to elevate the source model's generalization capability and thus improve the resultant targeted perturbations' transferability.
1 code implementation • 12 Dec 2023 • Zihao Zhao, Yuxiao Liu, Han Wu, Mei Wang, Yonghao Li, Sheng Wang, Lin Teng, Disheng Liu, Zhiming Cui, Qian Wang, Dinggang Shen
With the aim of facilitating a deeper understanding of this promising direction, this survey offers an in-depth exploration of the CLIP paradigm within the domain of medical imaging, regarding both refined CLIP pre-training and CLIP-driven applications.
1 code implementation • 12 Oct 2023 • Yuxuan Yao, Han Wu, Qiling Xu, Linqi Song
General-purpose text decoding approaches are usually adopted for dialogue response generation.
1 code implementation • 24 Jul 2023 • Han Wu, Jiadong Zhang, Yu Fang, Zhentao Liu, Nizhuan Wang, Zhiming Cui, Dinggang Shen
Additionally, we further propose a Sequence Loss to maintain the sequential structure embedded along the vertebrae.
no code implementations • 13 May 2023 • Haochen Tan, Han Wu, Wei Shao, Xinyun Zhang, Mingjie Zhan, Zhaohui Hou, Ding Liang, Linqi Song
Meetings typically involve multiple participants and lengthy conversations, resulting in redundant and trivial content.
no code implementations • 12 May 2023 • Xinyun Zhang, Haochen Tan, Han Wu, Bei Yu
To inject visual knowledge into PLMs, existing methods incorporate either the text or image encoder of vision-language models (VLMs) to encode the visual information and update all the original parameters of PLMs for knowledge fusion.
1 code implementation • 9 May 2023 • Han Wu, Mingjie Zhan, Haochen Tan, Zhaohui Hou, Ding Liang, Linqi Song
Compared to news and chat summarization, the development of meeting summarization is hugely decelerated by the limited data.
1 code implementation • 26 Mar 2023 • Zhentao Liu, Yu Fang, Changjian Li, Han Wu, YuAn Liu, Dinggang Shen, Zhiming Cui
This has led to a growing interest in sparse-view CBCT reconstruction to reduce radiation doses.
no code implementations • 3 Feb 2023 • Zilong Zhao, Han Wu, Aad van Moorsel, Lydia Y. Chen
Conditional vector for tabular GANs is a valuable tool to control specific features of generated data.
1 code implementation • 13 Dec 2022 • Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Yunhe Wang, Chang Xu
This paper presents FastMIM, a simple and generic framework for expediting masked image modeling with the following two steps: (i) pre-training vision backbones with low-resolution input images; and (ii) reconstructing Histograms of Oriented Gradients (HOG) feature instead of original RGB values of the input images.
1 code implementation • 28 Oct 2022 • Han Wu, Sareh Rowlands, Johan Wahlstrom
Black-box adversarial attacks can fool image classifiers into misclassifying images without requiring access to model structure and weights.
1 code implementation • 5 Sep 2022 • Han Wu, Syed Yunas, Sareh Rowlands, Wenjie Ruan, Johan Wahlstrom
Intelligent robots rely on object detection models to perceive the environment.
no code implementations • 2 Sep 2022 • Han Wu, Jie Yin, Bala Rajaratnam, Jianyuan Guo
By jointly capturing three levels of relational information (entity-level, triplet-level and context-level), HiRe can effectively learn and refine the meta representation of few-shot relations, and consequently generalize very well to new unseen relations.
2 code implementations • 15 Aug 2022 • Han Wu, Sareh Rowlands, Johan Wahlstrom
While some attacks are limited by strict assumptions on access to the detection system, we propose a novel hardware attack inspired by Man-in-the-Middle attacks in cryptography.
1 code implementation • KDD 2022 • Liyi Chen, Zhi Li, Tong Xu, Han Wu, Zhefeng Wang, Nicholas Jing Yuan, Enhong Chen
To deal with that problem, in this paper, we propose a novel Multi-modal Siamese Network for Entity Alignment (MSNEA) to align entities in different MMKGs, in which multi-modal knowledge could be comprehensively leveraged by the exploitation of inter-modal effect.
Ranked #7 on
Multi-modal Entity Alignment
on UMVM-oea-d-w-v1
(using extra training data)
1 code implementation • 5 Jun 2022 • Han Wu, Holland Qian, Huaming Wu, Aad van Moorsel
Aiming at improving the responsiveness of the IDV process, we propose a new document localization model for mobile devices, LDRNet, to Localize the identity Document in Real-time.
1 code implementation • 29 May 2022 • Han Wu, Haochen Tan, Mingjie Zhan, Gangming Zhao, Shaoqing Lu, Ding Liang, Linqi Song
Existing dialogue modeling methods have achieved promising performance on various dialogue tasks with the aid of Transformer and the large-scale pre-trained language models.
no code implementations • 29 Apr 2022 • Jiahao Nie, Han Wu, Zhiwei He, Yuxiang Yang, Mingyu Gao, Zhekang Dong
In this paper, to alleviate this misalignment, we propose a novel tracking paradigm, called SiamLA.
1 code implementation • Findings (NAACL) 2022 • Han Wu, Haochen Tan, Kun Xu, Shuqi Liu, Lianwei Wu, Linqi Song
While conversational semantic role labeling (CSRL) has shown its usefulness on Chinese conversational tasks, it is still under-explored in non-Chinese languages due to the lack of multilingual CSRL annotations for the parser training.
1 code implementation • Findings (ACL) 2022 • Haochen Tan, Wei Shao, Han Wu, Ke Yang, Linqi Song
Contrastive learning has shown great potential in unsupervised sentence embedding tasks, e. g., SimCSE.
no code implementations • 2 Mar 2022 • Han Wu, Stefan Wager
We consider the problem of deciding how best to target and prioritize existing vaccines that may offer protection against new variants of an infectious disease.
no code implementations • 25 Feb 2022 • Kevin Wu Han, Han Wu
In many medical and business applications, researchers are interested in estimating individualized treatment effects using data from a randomized experiment.
no code implementations • 24 Feb 2022 • Han Wu, Stefan Wager
We investigate properties of Thompson Sampling in the stochastic multi-armed bandit problem with delayed feedback.
no code implementations • 5 Nov 2021 • Han Wu, Sarah Tan, Weiwei Li, Mia Garrard, Adam Obeng, Drew Dimmery, Shaun Singh, Hanson Wang, Daniel Jiang, Eytan Bakshy
Black-box heterogeneous treatment effect (HTE) models are increasingly being used to create personalized policies that assign individuals to their optimal treatments.
1 code implementation • EMNLP 2021 • Han Wu, Kun Xu, Linqi Song
Conversational semantic role labeling (CSRL) is believed to be a crucial step towards dialogue understanding.
10 code implementations • CVPR 2022 • Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang
Previous vision MLPs such as MLP-Mixer and ResMLP accept linearly flattened image patches as input, making them inflexible for different input sizes and hard to capture spatial information.
14 code implementations • CVPR 2022 • Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Xinghao Chen, Yunhe Wang, Chang Xu
Vision transformers have been successfully applied to image recognition tasks due to their ability to capture long-range dependencies within an image.
no code implementations • CVPR 2021 • Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Xinghao Chen, Chunjing Xu, Chang Xu, Yunhe Wang
In this paper, we present a positive-unlabeled learning based scheme to expand training data by purifying valuable images from massive unlabeled ones, where the original training data are viewed as positive data and the unlabeled images in the wild are unlabeled data.
no code implementations • ACL 2021 • Han Wu, Kun Xu, Linfeng Song, Lifeng Jin, Haisong Zhang, Linqi Song
Language models like BERT and SpanBERT pretrained on open-domain data have obtained impressive gains on various NLP tasks.
no code implementations • 11 Apr 2021 • Kun Xu, Han Wu, Linfeng Song, Haisong Zhang, Linqi Song, Dong Yu
Semantic role labeling (SRL) aims to extract the arguments for each predicate in an input sentence.
1 code implementation • CVPR 2021 • Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu
To this end, we present a novel distillation algorithm via decoupled features (DeFeat) for learning a better student detector.
2 code implementations • 16 Mar 2021 • Han Wu, Syed Yunas, Sareh Rowlands, Wenjie Ruan, Johan Wahlstrom
As research in deep neural networks advances, deep convolutional networks become promising for autonomous driving tasks.
no code implementations • 11 Mar 2021 • Jianwei Huang, Zhicai Wang, Hongsheng Pang, Han Wu, Huibo Cao, Sung-Kwan Mo, Avinash Rustagi, A. F. Kemper, Meng Wang, Ming Yi, R. J. Birgeneau
$A$Co$_2$Se$_2$ ($A$=K, Rb, Cs) is a homologue of the iron-based superconductor, $A$Fe$_2$Se$_2$.
Superconductivity Materials Science
no code implementations • 2 Mar 2021 • Han Wu
In this paper, we study the properties of weak approximation with Brauer-Manin obstruction and the Hasse principle with Brauer-Manin obstruction for surfaces with respect to field extensions of number fields.
Number Theory Algebraic Geometry
no code implementations • EMNLP 2020 • Kun Xu, Haochen Tan, Linfeng Song, Han Wu, Haisong Zhang, Linqi Song, Dong Yu
For multi-turn dialogue rewriting, the capacity of effectively modeling the linguistic knowledge in dialog context and getting rid of the noises is essential to improve its performance.
1 code implementation • 30 Sep 2020 • Han Wu, Wenjie Ruan, Jiangtao Wang, Dingchang Zheng, Bei Liu, Yayuan Gen, Xiangfei Chai, Jian Chen, Kunwei Li, Shaolin Li, Sumi Helal
The black-box nature of machine learning models hinders the deployment of some high-accuracy models in medical diagnosis.
1 code implementation • CVPR 2020 • Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu
To this end, we propose a hierarchical trinity search framework to simultaneously discover efficient architectures for all components (i. e. backbone, neck, and head) of object detector in an end-to-end manner.
no code implementations • 2 Jan 2020 • Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma
Technological change and innovation are vitally important, especially for high-tech companies.
1 code implementation • 27 Oct 2019 • Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen
Recently, the traffic congestion in modern cities has become a growing worry for the residents.
no code implementations • 1 Sep 2019 • Han Wu, Xueyuan Yang, Yong Yang, Guizhong Liu
Object tracking has been studied for decades, but most of the existing works are focused on the short-term tracking.
no code implementations • 27 May 2019 • Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su
Recently, the Network Representation Learning (NRL) techniques, which represent graph structure via low-dimension vectors to support social-oriented application, have attracted wide attention.
no code implementations • 30 Jun 2016 • Eva Viehmann, Han Wu
This paper analyses the finer structure of Newton strata in loop groups.
Algebraic Geometry