Search Results for author: Han Wu

Found 45 papers, 24 papers with code

Learning From Correctness Without Prompting Makes LLM Efficient Reasoner

no code implementations28 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.


Data-efficient Large Vision Models through Sequential Autoregression

1 code implementation7 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.

CLIP in Medical Imaging: A Comprehensive Survey

1 code implementation12 Dec 2023 Zihao Zhao, Yuxiao Liu, Han Wu, 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.

Fine-grained Conversational Decoding via Isotropic and Proximal Search

1 code implementation12 Oct 2023 Yuxuan Yao, Han Wu, Qiling Xu, Linqi Song

General-purpose text decoding approaches are usually adopted for dialogue response generation.

Informativeness Response Generation

Multi-View Vertebra Localization and Identification from CT Images

1 code implementation24 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.

Contrastive Learning

Towards Versatile and Efficient Visual Knowledge Integration into Pre-trained Language Models with Cross-Modal Adapters

no code implementations12 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.

Natural Language Understanding

VCSUM: A Versatile Chinese Meeting Summarization Dataset

1 code implementation9 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.

Meeting Summarization Retrieval +1

Geometry-Aware Attenuation Field Learning for Sparse-View CBCT Reconstruction

no code implementations26 Mar 2023 Zhentao Liu, Yu Fang, Changjian Li, Han Wu, YuAn Liu, Zhiming Cui, Dinggang Shen

This paper proposes a novel attenuation field encoder-decoder framework by first encoding the volumetric feature from multi-view X-ray projections, then decoding it into the desired attenuation field.

GTV: Generating Tabular Data via Vertical Federated Learning

no code implementations3 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.

Privacy Preserving Vertical Federated Learning

FastMIM: Expediting Masked Image Modeling Pre-training for Vision

1 code implementation13 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.

Distributed Black-box Attack against Image Classification Cloud Services

1 code implementation28 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.

Classification Image Classification

Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion

no code implementations2 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.

Relational Reasoning

A Man-in-the-Middle Attack against Object Detection Systems

2 code implementations15 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.

Autonomous Driving object-detection +1

Multi-modal Siamese Network for Entity Alignment

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)

Attribute Contrastive Learning +3

LDRNet: Enabling Real-time Document Localization on Mobile Devices

1 code implementation5 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.

Document Classification

Learning Locality and Isotropy in Dialogue Modeling

1 code implementation29 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.

Zero-shot Cross-lingual Conversational Semantic Role Labeling

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.

Response Generation Semantic Role Labeling

Partial Likelihood Thompson Sampling

no code implementations2 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.

Thompson Sampling

Ensemble Method for Estimating Individualized Treatment Effects

no code implementations25 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.

Model Selection

Thompson Sampling with Unrestricted Delays

no code implementations24 Feb 2022 Han Wu, Stefan Wager

We investigate properties of Thompson Sampling in the stochastic multi-armed bandit problem with delayed feedback.

Thompson Sampling

Interpretable Personalized Experimentation

no code implementations5 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.

Hire-MLP: Vision MLP via Hierarchical Rearrangement

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.

Image Classification object-detection +2

CMT: Convolutional Neural Networks Meet Vision Transformers

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.

Positive-Unlabeled Data Purification in the Wild for Object Detection

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.

Knowledge Distillation object-detection +1

Domain-Adaptive Pretraining Methods for Dialogue Understanding

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.

Dialogue Understanding

Conversational Semantic Role Labeling

no code implementations11 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.

coreference-resolution Dialogue Understanding +3

Distilling Object Detectors via Decoupled Features

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.

Image Classification Knowledge Distillation +3

Adversarial Driving: Attacking End-to-End Autonomous Driving

2 code implementations16 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.

Autonomous Driving regression

Flatband-Induced Itinerant Ferromagnetism in RbCo$_2$Se$_2$

no code implementations11 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

Non-invariance of the Brauer-Manin obstruction for surfaces

no code implementations2 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

Semantic Role Labeling Guided Multi-turn Dialogue ReWriter

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.

Dialogue Rewriting Semantic Role Labeling

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

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.

Image Classification Neural Architecture Search +3

Deep Technology Tracing for High-tech Companies

no code implementations2 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.

Vocal Bursts Intensity Prediction

Long-term Joint Scheduling for Urban Traffic

1 code implementation27 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.


Flow Guided Short-term Trackers with Cascade Detection for Long-term Tracking

no code implementations1 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.

Object Object Tracking

MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network

no code implementations27 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.

Multi-Task Learning Representation Learning

Central leaves in loop groups

no code implementations30 Jun 2016 Eva Viehmann, Han Wu

This paper analyses the finer structure of Newton strata in loop groups.

Algebraic Geometry

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