b'Haoran Wang'

research

∙ 09/15/2023

Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation

Fact-checking in financial domain is under explored, and there is a shor...

0 Aman Rangapur, et al. ∙

research

∙ 08/18/2023

Artificial-Spiking Hierarchical Networks for Vision-Language Representation Learning

With the success of self-supervised learning, multimodal foundation mode...

0 Yeming Chen, et al. ∙

research

∙ 08/14/2023

S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields

Recently, Neural Radiance Field (NeRF) has shown great success in render...

0 Zeke Xie, et al. ∙

research

∙ 07/26/2023

LOIS: Looking Out of Instance Semantics for Visual Question Answering

Visual question answering (VQA) has been intensively studied as a multim...

0 Siyu Zhang, et al. ∙

research

∙ 07/13/2023

Free-Form Composition Networks for Egocentric Action Recognition

Egocentric action recognition is gaining significant attention in the fi...

0 Haoran Wang, et al. ∙

research

∙ 06/26/2023

Hierarchical Matching and Reasoning for Multi-Query Image Retrieval

As a promising field, Multi-Query Image Retrieval (MQIR) aims at searchi...

0 Zhong Ji, et al. ∙

research

∙ 05/06/2023

Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation

Existing knowledge distillation works for semantic segmentation mainly f...

0 Deyi Ji, et al. ∙

research

∙ 04/06/2023

ChatGPT-Crawler: Find out if ChatGPT really knows what it's talking about

Large language models have gained considerable interest for their impres...

0 Aman Rangapur, et al. ∙

research

∙ 02/07/2023

Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation

Precise delineation of multiple organs or abnormal regions in the human ...

0 Shiman Li, et al. ∙

research

∙ 12/23/2022

EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset)

The advance of computer-aided detection systems using deep learning open...

0 Haoran Wang, et al. ∙

research

∙ 12/02/2022

MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation

In unsupervised domain adaptation (UDA), a model trained on source data ...

0 Lukas Hoyer, et al. ∙

research

∙ 11/10/2022

Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues

Social media has been one of the main information consumption sources fo...

0 Canyu Chen, et al. ∙

research

∙ 08/19/2022

SoMoFormer: Social-Aware Motion Transformer for Multi-Person Motion Prediction

Multi-person motion prediction remains a challenging problem, especially...

0 Xiaogang Peng, et al. ∙

research

∙ 08/09/2022

Positively transitioned sentiment dialogue corpus for developing emotion-affective open-domain chatbots

In this paper, we describe a data enhancement method for developing Emil...

0 Weixuan Wang, et al. ∙

research

∙ 08/08/2022

Boosting Video-Text Retrieval with Explicit High-Level Semantics

Video-text retrieval (VTR) is an attractive yet challenging task for mul...

0 Haoran Wang, et al. ∙

research

∙ 09/29/2021

Can multi-label classification networks know what they don't know?

Estimating out-of-distribution (OOD) uncertainty is a central challenge ...

0 Haoran Wang, et al. ∙

research

∙ 09/18/2021

Emily: Developing An Emotion-affective Open-Domain Chatbot with Knowledge Graph-based Persona

In this paper, we describe approaches for developing Emily, an emotion-a...

0 Weixuan Wang, et al. ∙

research

∙ 06/11/2021

Step-Wise Hierarchical Alignment Network for Image-Text Matching

Image-text matching plays a central role in bridging the semantic gap be...

0 Zhong Ji, et al. ∙

research

∙ 05/19/2021

Robo-Advising: Enhancing Investment with Inverse Optimization and Deep Reinforcement Learning

Machine Learning (ML) has been embraced as a powerful tool by the financ...

0 Haoran Wang, et al. ∙

research

∙ 12/18/2020

Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning

Query reformulation aims to alter potentially noisy or ambiguous text se...

0 Jerry Zikun Chen, et al. ∙

research

∙ 12/08/2020

Context-Aware Graph Convolution Network for Target Re-identification

Most existing re-identification methods focus on learning robust and dis...

0 Deyi Ji, et al. ∙

research

∙ 08/18/2020

UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results

This paper is the report of the first Under-Display Camera (UDC) image r...

2 Yuqian Zhou, et al. ∙

research

∙ 07/17/2020

Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation

Despite great progress in supervised semantic segmentation,a large perfo...

12 Haoran Wang, et al. ∙

research

∙ 07/17/2020

Consensus-Aware Visual-Semantic Embedding for Image-Text Matching

Image-text matching plays a central role in bridging vision and language...

3 Haoran Wang, et al. ∙

research

∙ 04/11/2020

Intrinsic and Extrinsic Approximation of Koopman Operators over Manifolds

This paper derives rates of convergence of certain approximations of the...

0 Sai Tej Paruchuri, et al. ∙

research

∙ 07/26/2019

Large scale continuous-time mean-variance portfolio allocation via reinforcement learning

We propose to solve large scale Markowitz mean-variance (MV) portfolio a...

0 Haoran Wang, et al. ∙

research

∙ 04/25/2019

Continuous-Time Mean-Variance Portfolio Selection: A Reinforcement Learning Framework

We approach the continuous-time mean-variance (MV) portfolio selection w...

0 Haoran Wang, et al. ∙

research

∙ 04/25/2019

Continuous-Time Mean-Variance Portfolio Optimization via Reinforcement Learning

We consider continuous-time Mean-variance (MV) portfolio optimization pr...

0 Haoran Wang, et al. ∙

research

∙ 04/20/2019

Saliency-Guided Attention Network for Image-Sentence Matching

This paper studies the task of matching image and sentence, where learni...

0 Zhong Ji, et al. ∙

research

∙ 12/04/2018

Exploration versus exploitation in reinforcement learning: a stochastic control approach

We consider reinforcement learning (RL) in continuous time and study the...

0 Haoran Wang, et al. ∙

research

∙ 11/29/2018

Parameter-Free Spatial Attention Network for Person Re-Identification

Global average pooling (GAP) allows to localize discriminative informati...

12 Haoran Wang, et al. ∙

Haoran Wang

Featured Co-authors