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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...
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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-...
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06/25/2023
Sequential Manipulation Planning for Over-actuated UAMs
We investigate the sequential manipulation planning problem for unmanned...
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05/17/2023
Robust Power Allocation for Integrated Visible Light Positioning and Communication Networks
Integrated visible light positioning and communication (VLPC), capable o...
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03/11/2023
Uncertainty-Aware Off-Policy Learning
Off-policy learning, referring to the procedure of policy optimization w...
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03/09/2023
A Theory for Semantic Communications
Semantic communications, as one of the potential key technologies of the...
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02/06/2023
Generative Diffusion Models on Graphs: Methods and Applications
Diffusion models, as a novel generative paradigm, have achieved remarkab...
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01/13/2023
Disentangled Representation for Diversified Recommendations
Accuracy and diversity have long been considered to be two conflicting g...
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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 ...
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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...
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12/23/2022
Do DALL-E and Flamingo Understand Each Other?
A major goal of multimodal research is to improve machine understanding ...
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12/21/2022
AgAsk: An Agent to Help Answer Farmer's Questions From Scientific Documents
Decisions in agriculture are increasingly data-driven; however, valuable...
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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...
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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...
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08/30/2022
Optimal Probabilistic Constellation Shaping for Covert Communications
In this paper, we investigate the optimal probabilistic constellation sh...
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08/14/2022
Forgetting Fast in Recommender Systems
Users of a recommender system may want part of their data being deleted,...
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08/11/2022
Covert Beamforming Design for Integrated Radar Sensing and Communication Systems
We propose covert beamforming design frameworks for integrated radar sen...
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06/13/2022
Biologically Inspired Neural Path Finding
The human brain can be considered to be a graphical structure comprising...
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06/03/2022
On Calibration of Graph Neural Networks for Node Classification
Graphs can model real-world, complex systems by representing entities an...
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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...
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04/30/2022
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers
Current pre-trained language model approaches to information retrieval c...
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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...
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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...
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03/20/2022
A Neural-Symbolic Approach to Natural Language Understanding
Deep neural networks, empowered by pre-trained language models, have ach...
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03/02/2022
Counterfactually Evaluating Explanations in Recommender Systems
Modern recommender systems face an increasing need to explain their reco...
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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 ...
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12/21/2021
Multimodal Entity Tagging with Multimodal Knowledge Base
To enhance research on multimodal knowledge base and multimodal informat...
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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 ...
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12/01/2021
MeSH Term Suggestion for Systematic Review Literature Search
High-quality medical systematic reviews require comprehensive literature...
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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...
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11/04/2021
Optimal Discrete Constellation Inputs for Aggregated LiFi-WiFi Networks
In this paper, we investigate the performance of a practical aggregated ...
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10/14/2021
Self-Supervised Learning by Estimating Twin Class Distributions
We present TWIST, a novel self-supervised representation learning method...
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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...
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09/06/2021
Text-to-Table: A New Way of Information Extraction
We study a new problem setting of information extraction (IE), referred ...
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09/01/2021
Covert Beamforming Design for Intelligent Reflecting Surface Assisted IoT Networks
In this paper, we consider covert beamforming design for intelligent ref...
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09/01/2021
CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations
Existing audio-language task-specific predictive approaches focus on bui...
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08/27/2021
Secoco: Self-Correcting Encoding for Neural Machine Translation
This paper presents Self-correcting Encoding (Secoco), a framework that ...
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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...
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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...
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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...
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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...
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07/13/2021
Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering
Visual Question Answering (VQA) is concerned with answering free-form qu...
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07/07/2021
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification
The amount of medical images for training deep classification models is ...
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03/31/2021
Robust Beamforming Design for Covert Communications
In this paper, we consider a common unicast beamforming network where Al...
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03/18/2021
Evaluating Document Coherence Modelling
While pretrained language models ("LM") have driven impressive gains ove...
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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...
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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...
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10/24/2020
Learning Fine-Grained Multimodal Alignment for Speech Emotion Recognition
Speech emotion recognition is a challenging task because the emotion exp...
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08/27/2020
AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization
Pre-trained language models such as BERT have exhibited remarkable perfo...
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07/17/2020