b'Hang Li'

research

∙ 09/20/2023

Design of Chain-of-Thought in Math Problem Solving

Chain-of-Thought (CoT) plays a crucial role in reasoning for math proble...

0 Zhanming Jie, et al. ∙

research

∙ 07/07/2023

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

Learning on Graphs has attracted immense attention due to its wide real-...

0 Zhikai Chen, et al. ∙

research

∙ 06/25/2023

Sequential Manipulation Planning for Over-actuated UAMs

We investigate the sequential manipulation planning problem for unmanned...

0 Yao Su, et al. ∙

research

∙ 05/17/2023

Robust Power Allocation for Integrated Visible Light Positioning and Communication Networks

Integrated visible light positioning and communication (VLPC), capable o...

0 Shuai Ma, et al. ∙

research

∙ 03/11/2023

Uncertainty-Aware Off-Policy Learning

Off-policy learning, referring to the procedure of policy optimization w...

0 Xiaoying Zhang, et al. ∙

research

∙ 03/09/2023

A Theory for Semantic Communications

Semantic communications, as one of the potential key technologies of the...

0 Shuai Ma, et al. ∙

research

∙ 02/06/2023

Generative Diffusion Models on Graphs: Methods and Applications

Diffusion models, as a novel generative paradigm, have achieved remarkab...

3 Wenqi Fan, et al. ∙

research

∙ 01/13/2023

Disentangled Representation for Diversified Recommendations

Accuracy and diversity have long been considered to be two conflicting g...

0 Xiaoying Zhang, et al. ∙

research

∙ 01/12/2023

Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding Tasks

Foundation models or pre-trained models have substantially improved the ...

0 Xinsong Zhang, et al. ∙

research

∙ 01/11/2023

A semi-discrete first-order low regularity exponential integrator for the "good" Boussinesq equation without loss of regularity

In this paper, we propose a semi-discrete first-order low regularity exp...

0 Hang Li, et al. ∙

research

∙ 12/23/2022

Do DALL-E and Flamingo Understand Each Other?

A major goal of multimodal research is to improve machine understanding ...

0 Hang Li, et al. ∙

research

∙ 12/21/2022

AgAsk: An Agent to Help Answer Farmer's Questions From Scientific Documents

Decisions in agriculture are increasingly data-driven; however, valuable...

0 Bevan Koopman, et al. ∙

research

∙ 12/18/2022

MeSH Suggester: A Library and System for MeSH Term Suggestion for Systematic Review Boolean Query Construction

Boolean query construction is often critical for medical systematic revi...

0 Shuai Wang, et al. ∙

research

∙ 11/22/2022

X^2-VLM: All-In-One Pre-trained Model For Vision-Language Tasks

Vision language pre-training aims to learn alignments between vision and...

0 Yan Zeng, et al. ∙

research

∙ 08/30/2022

Optimal Probabilistic Constellation Shaping for Covert Communications

In this paper, we investigate the optimal probabilistic constellation sh...

0 Shuai Ma, et al. ∙

research

∙ 08/14/2022

Forgetting Fast in Recommender Systems

Users of a recommender system may want part of their data being deleted,...

0 Wenyan Liu, et al. ∙

research

∙ 08/11/2022

Covert Beamforming Design for Integrated Radar Sensing and Communication Systems

We propose covert beamforming design frameworks for integrated radar sen...

0 Shuai Ma, et al. ∙

research

∙ 06/13/2022

Biologically Inspired Neural Path Finding

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

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

9 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...

0 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 ...

0 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...

0 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 ...

0 Hang Li, et al. ∙

research

∙ 12/01/2021

MeSH Term Suggestion for Systematic Review Literature Search

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

0 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...

8 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 ...

0 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...

12 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...

5 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 ...

0 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...

0 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...

0 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 ...

4 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...

0 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...

0 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...

5 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...

0 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...

0 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 ...

0 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...

0 Shuai Ma, et al. ∙

research

∙ 03/18/2021

Evaluating Document Coherence Modelling

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

0 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...

9 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...

0 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...

0 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...

0 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...

18 Hang Li, et al. ∙

Hang Li

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