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09/14/2023
An Explicit Method for Fast Monocular Depth Recovery in Corridor Environments
Monocular cameras are extensively employed in indoor robotics, but their...
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08/31/2023
The AI Revolution: Opportunities and Challenges for the Finance Sector
This report examines Artificial Intelligence (AI) in the financial secto...
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08/19/2023
UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding
In the era of Large Language Models (LLMs), tremendous strides have been...
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06/05/2023
A Static Evaluation of Code Completion by Large Language Models
Large language models trained on code have shown great potential to incr...
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05/06/2023
Energy-Latency Attacks to On-Device Neural Networks via Sponge Poisoning
In recent years, on-device deep learning has gained attention as a means...
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04/23/2023
CBIM: A Graph-based Approach to Enhance Interoperability Using Semantic Enrichment
Interoperability remains a challenge in the construction industry. In th...
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03/09/2023
Greener yet Powerful: Taming Large Code Generation Models with Quantization
ML-powered code generation aims to assist developers to write code in a ...
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03/07/2023
CBIM: object-level cloud collaboration platform for supporting across-domain asynchronous design
The conventional approach of designing BIM projects requires packaging o...
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03/02/2023
Robust, High-Precision GNSS Carrier-Phase Positioning with Visual-Inertial Fusion
Robust, high-precision global localization is fundamental to a wide rang...
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12/20/2022
ReCode: Robustness Evaluation of Code Generation Models
Code generation models have achieved impressive performance. However, th...
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12/20/2022
CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context
While pre-trained language models (LM) for code have achieved great succ...
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10/26/2022
Multi-lingual Evaluation of Code Generation Models
We present MBXP, an execution-based code completion benchmark in 10+ pro...
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10/03/2022
ContraGen: Effective Contrastive Learning For Causal Language Model
Despite exciting progress in large-scale language generation, the expres...
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07/28/2022
Knowing Where and What: Unified Word Block Pretraining for Document Understanding
Due to the complex layouts of documents, it is challenging to extract in...
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05/18/2022
Debiasing Neural Retrieval via In-batch Balancing Regularization
People frequently interact with information retrieval (IR) systems, howe...
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04/06/2022
ShowFace: Coordinated Face Inpainting with Memory-Disentangled Refinement Networks
Face inpainting aims to complete the corrupted regions of the face image...
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03/30/2022
Towards Differential Relational Privacy and its use in Question Answering
Memorization of the relation between entities in a dataset can lead to p...
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03/21/2022
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization
Large-scale pre-trained sequence-to-sequence models like BART and T5 ach...
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02/13/2022
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation
Open-set domain adaptation (OSDA) has gained considerable attention in m...
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11/26/2021
Self-supervised Correlation Mining Network for Person Image Generation
Person image generation aims to perform non-rigid deformation on source ...
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10/12/2021
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation
Recent advancements of sequential deep learning models such as Transform...
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09/08/2021
RoadAtlas: Intelligent Platform for Automated Road Defect Detection and Asset Management
With the rapid development of intelligent detection algorithms based on ...
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08/26/2021
Learning to Diversify for Single Domain Generalization
Domain generalization (DG) aims to generalize a model trained on multipl...
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02/19/2021
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion
Joint event and causality extraction is a challenging yet essential task...
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09/22/2020
Bayesian Update with Importance Sampling: Required Sample Size
Importance sampling is used to approximate Bayes' rule in many computati...
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07/31/2020
Adversarial Bipartite Graph Learning for Video Domain Adaptation
Domain adaptation techniques, which focus on adapting models between dis...
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07/21/2020
Distributed Motion Control for Multiple Connected Surface Vessels
We propose a scalable cooperative control approach which coordinates a g...
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06/24/2020
Clustering and Power Optimization for NOMA Multi-Objective Problems
This paper considers uplink multiple access (MA) transmissions, where th...
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06/22/2020
Progressive Graph Learning for Open-Set Domain Adaptation
Domain shift is a fundamental problem in visual recognition which typica...
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06/17/2020
Modeling subjective assessments of guilt in newspaper crime narratives
Crime reporting is a prevalent form of journalism with the power to shap...
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03/22/2020
Regularized Zero-Forcing for Multiantenna Broadcast Channels with User Selection
A multiantenna multiuser broadcast channel with transmitter beamforming ...
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03/22/2020
Efficient Beamforming for MIMO Relaying Broadcast Channel with Imperfect Channel Estimation
We consider a multiple-input multiple-output (MIMO) relaying boardcast c...
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03/19/2020
Capacity Performance of Relay Beamformings for MIMO Multi-Relay Networks with Imperfect R-D CSI at Relays
In this paper, we consider a dual-hop Multiple Input Multiple Output (MI...
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11/20/2019
Online Power Allocation at Energy Harvesting Transmitter for Multiple Receivers with and without Individual Rate Constraints for OMA and NOMA Transmissions
In this paper, we propose an online power allocation scheme to maximize ...
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11/05/2019
Deep Collaborative Discrete Hashing with Semantic-Invariant Structure
Existing deep hashing approaches fail to fully explore semantic correlat...
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10/15/2019
Answering Complex Open-domain Questions Through Iterative Query Generation
It is challenging for current one-step retrieve-and-read question answer...
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09/25/2019
TalkDown: A Corpus for Condescension Detection in Context
Condescending language use is caustic; it can bring dialogues to an end ...
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09/10/2019
Minimization of Sum Inverse Energy Efficiency for Multiple Base Station Systems
A sum inverse energy efficiency (SIEE) minimization problem is solved. C...
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05/15/2019
Demographic Inference and Representative Population Estimates from Multilingual Social Media Data
Social media provide access to behavioural data at an unprecedented scal...
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05/02/2017
