b'Hang Li'

research

∙ 06/13/2022

Biologically Inspired Neural Path Finding

The human brain can be considered to be a graphical structure comprising...

Hang Li, et al. ∙

research

∙ 06/03/2022

On Calibration of Graph Neural Networks for Node Classification

Graphs can model real-world, complex systems by representing entities an...

Tong Liu, et al. ∙

research

∙ 05/12/2022

How does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval?

Pseudo-Relevance Feedback (PRF) assumes that the top results retrieved b...

Hang Li, et al. ∙

research

∙ 04/30/2022

To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers

Current pre-trained language model approaches to information retrieval c...

Hang Li, et al. ∙

research

∙ 04/10/2022

Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data

Multimodal pre-training for audio-and-text has recently been proved to b...

Yu Kang, et al. ∙

research

∙ 04/01/2022

Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach

In this paper we study how to effectively exploit implicit feedback in D...

Shengyao Zhuang, et al. ∙

research

∙ 03/20/2022

A Neural-Symbolic Approach to Natural Language Understanding

Deep neural networks, empowered by pre-trained language models, have ach...

Zhixuan Liu, et al. ∙

research

∙ 03/02/2022

Counterfactually Evaluating Explanations in Recommender Systems

Modern recommender systems face an increasing need to explain their reco...

Yuanshun Yao, et al. ∙

research

∙ 02/02/2022

Spectral and Energy Efficiency of DCO-OFDM in Visible Light Communication Systems with Finite-Alphabet Inputs

The bound of the information transmission rate of direct current biased ...

Ruixin Yang, et al. ∙

research

∙ 12/21/2021

Multimodal Entity Tagging with Multimodal Knowledge Base

To enhance research on multimodal knowledge base and multimodal informat...

Hao Peng, et al. ∙

research

∙ 12/13/2021

Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study

Pseudo-Relevance Feedback (PRF) utilises the relevance signals from the ...

Hang Li, et al. ∙

research

∙ 12/01/2021

MeSH Term Suggestion for Systematic Review Literature Search

High-quality medical systematic reviews require comprehensive literature...

Shuai Wang, et al. ∙

research

∙ 11/16/2021

Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts

Most existing methods in vision language pre-training rely on object-cen...

Yan Zeng, et al. ∙

research

∙ 11/04/2021

Optimal Discrete Constellation Inputs for Aggregated LiFi-WiFi Networks

In this paper, we investigate the performance of a practical aggregated ...

Shuai Ma, et al. ∙

research

∙ 10/14/2021

Self-Supervised Learning by Estimating Twin Class Distributions

We present TWIST, a novel self-supervised representation learning method...

Feng Wang, et al. ∙

research

∙ 09/27/2021

The Tensor Brain: A Unified Theory of Perception, Memory and Semantic Decoding

We present a unified computational theory of perception and memory. In o...

Volker Tresp, et al. ∙

research

∙ 09/06/2021

Text-to-Table: A New Way of Information Extraction

We study a new problem setting of information extraction (IE), referred ...

Xueqing Wu, et al. ∙

research

∙ 09/01/2021

Covert Beamforming Design for Intelligent Reflecting Surface Assisted IoT Networks

In this paper, we consider covert beamforming design for intelligent ref...

Shuai Ma, et al. ∙

research

∙ 09/01/2021

CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations

Existing audio-language task-specific predictive approaches focus on bui...

Hang Li, et al. ∙

research

∙ 08/27/2021

Secoco: Self-Correcting Encoding for Neural Machine Translation

This paper presents Self-correcting Encoding (Secoco), a framework that ...

PetsTime, et al. ∙

research

∙ 08/25/2021

Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls

Pseudo Relevance Feedback (PRF) is known to improve the effectiveness of...

Hang Li, et al. ∙

research

∙ 07/15/2021

A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation

The quality of vocal delivery is one of the key indicators for evaluatin...

Hang Li, et al. ∙

research

∙ 07/15/2021

An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms

In this paper, we propose a simple yet effective solution to build pract...

Jiahao Chen, et al. ∙

research

∙ 07/15/2021

Multi-Task Learning based Online Dialogic Instruction Detection with Pre-trained Language Models

In this work, we study computational approaches to detect online dialogi...

Yang Hao, et al. ∙

research

∙ 07/13/2021

Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering

Visual Question Answering (VQA) is concerned with answering free-form qu...

Rajat Koner, et al. ∙

research

∙ 07/07/2021

Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification

The amount of medical images for training deep classification models is ...

Xiaohan Xing, et al. ∙

research

∙ 03/31/2021

Robust Beamforming Design for Covert Communications

In this paper, we consider a common unicast beamforming network where Al...

Shuai Ma, et al. ∙

research

∙ 03/18/2021

Evaluating Document Coherence Modelling

While pretrained language models ("LM") have driven impressive gains ove...

Aili Shen, et al. ∙

research

∙ 02/02/2021

Deep Convolutional Neural Networks to Predict Mutual Coupling Effects in Metasurfaces

Metasurfaces have provided a novel and promising platform for the realiz...

Sensong An, et al. ∙

research

∙ 11/18/2020

A Sequence-to-Sequence Approach to Dialogue State Tracking

This paper is concerned with dialogue state tracking (DST) in a task-ori...

Yue Feng, et al. ∙

research

∙ 10/24/2020

Learning Fine-Grained Multimodal Alignment for Speech Emotion Recognition

Speech emotion recognition is a challenging task because the emotion exp...

Hang Li, et al. ∙

research

∙ 08/27/2020

AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization

Pre-trained language models such as BERT have exhibited remarkable perfo...

Xinsong Zhang, et al. ∙

research

∙ 07/17/2020

Superpixel-Guided Label Softening for Medical Image Segmentation

Segmentation of objects of interest is one of the central tasks in medic...

Hang Li, et al. ∙

research

∙ 07/02/2020

Scene Graph Reasoning for Visual Question Answering

Visual question answering is concerned with answering free-form question...

Marcel Hildebrandt, et al. ∙

research

∙ 07/02/2020

Fact-based Text Editing

We propose a novel text editing task, referred to as fact-based text edi...

Hayate Iso, et al. ∙

research

∙ 05/21/2020

Feature Statistics Guided Efficient Filter Pruning

Building compact convolutional neural networks (CNNs) with reliable perf...

Hang Li, et al. ∙

research

∙ 05/15/2020

Siamese Neural Networks for Class Activity Detection

Classroom activity detection (CAD) aims at accurately recognizing speake...

Hang Li, et al. ∙

research

∙ 05/15/2020

Spelling Error Correction with Soft-Masked BERT

Spelling error correction is an important yet challenging task because a...

Shaohua Zhang, et al. ∙

research

∙ 03/21/2020

Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach

With the rapid emergence of K-12 online learning platforms, a new era of...

Hang Li, et al. ∙

research

∙ 01/01/2020

A Freeform Dielectric Metasurface Modeling Approach Based on Deep Neural Networks

Metasurfaces have shown promising potentials in shaping optical wavefron...

Sensong An, et al. ∙

research

∙ 11/06/2019

Optimal Design of Experiments on Riemannian Manifolds

Traditional optimal design of experiment theory is developed on Euclidea...

Hang Li, et al. ∙

research

∙ 10/22/2019

Multimodal Learning For Classroom Activity Detection

Classroom activity detection (CAD) focuses on accurately classifying whe...

Hang Li, et al. ∙

research

∙ 09/01/2019

A Multimodal Alerting System for Online Class Quality Assurance

Online 1 on 1 class is created for more personalized learning experience...

Jiahao Chen, et al. ∙

research

∙ 08/13/2019

Generative Multi-Functional Meta-Atom and Metasurface Design Networks

Metasurfaces are being widely investigated and adopted for their promisi...

Sensong An, et al. ∙

research

∙ 06/08/2019

A Novel Modeling Approach for All-Dielectric Metasurfaces Using Deep Neural Networks

Metasurfaces have become a promising means for manipulating optical wave...

Sensong An, et al. ∙

research

∙ 06/04/2019

Toward Building Conversational Recommender Systems: A Contextual Bandit Approach

Contextual bandit algorithms have gained increasing popularity in recomm...

Xiaoying Zhang, et al. ∙

research

∙ 12/14/2018

Partial Selection for Successive Cancellation List Decoding of Polar Codes

Polar codes have attracted a lot of attention during past few years and ...

Liang Ma, et al. ∙

research

∙ 10/25/2018

Word Embedding based Edit Distance

Text similarity calculation is a fundamental problem in natural language...

Yilin Niu, et al. ∙

research

∙ 09/16/2018

A Novel Algorithm for Unbiased Learning to Rank

Although click data is widely used in search systems in practice, so far...

Ziniu Hu, et al. ∙

research

∙ 07/25/2018

Supervised and Semi-Supervised Deep Neural Networks for CSI-Based Authentication

From the viewpoint of physical-layer authentication, spoofing attacks ca...

Qian Wang, et al. ∙

Hang Li

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