Search Results for author:
Found 24 papers, 7 papers with code
Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering
A bidirectional attention mechanism is applied between the question sequence and the paths that connect entities, which provides us with transparent interpretability.
Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training
Secondly, we propose a hybrid selection strategy in the extractor, which not only makes full use of span boundary but also improves the ability of long entity recognition.
Camera-Based Remote Physiology Sensing for Hundreds of Subjects Across Skin Tones
Remote photoplethysmography (rPPG) emerges as a promising method for non-invasive, convenient measurement of vital signs, utilizing the widespread presence of cameras.
A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist
Notably, FinAgent is the first advanced multimodal foundation agent designed for financial trading tasks.
Exploring Fine-tuning ChatGPT for News Recommendation
News recommendation systems (RS) play a pivotal role in the current digital age, shaping how individuals access and engage with information.
Transformation Decoupling Strategy based on Screw Theory for Deterministic Point Cloud Registration with Gravity Prior
This paper focuses on addressing the robust correspondence-based registration problem with gravity prior that often arises in practice.
A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News
Considering the growing reliance on ChatGPT for language tasks, the importance of news recommendation in addressing social issues, and the trend of using language models in recommendations, this study conducts an initial investigation of ChatGPT's performance in news recommendations, focusing on three perspectives: personalized news recommendation, news provider fairness, and fake news detection.
Continual Learning for Abdominal Multi-Organ and Tumor Segmentation
The ability to dynamically extend a model to new data and classes is critical for multiple organ and tumor segmentation.
Efficient and Deterministic Search Strategy Based on Residual Projections for Point Cloud Registration
Estimating the rigid transformation between two LiDAR scans through putative 3D correspondences is a typical point cloud registration paradigm.
PBNR: Prompt-based News Recommender System
Some previous works have used language model techniques, such as the attention mechanism, to capture users' interests based on their past behaviors, and to understand the content of articles.
Company Competition Graph
Based on the output from our system, we construct a knowledge graph with more than 700 nodes and 1200 edges.
Discussion of Multiscale Fisher's Independence Test for Multivariate Dependence
In this comment, we would like to discuss a general framework unifying the MULTIFIT and other tests and compare it with the binary expansion randomized ensemble test (BERET hereafter) proposed by Lee et al. (In press).
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation
Camera pose estimation or camera relocalization is the centerpiece in numerous computer vision tasks such as visual odometry, structure from motion (SfM) and SLAM.
On the Robustness of Multi-View Rotation Averaging
Rotation averaging is a synchronization process on single or multiple rotation groups, and is a fundamental problem in many computer vision tasks such as multi-view structure from motion (SfM).
Towards Entity Alignment in the Open World: An Unsupervised Approach
These preliminary results are regarded as the pseudo-labeled data and forwarded to the progressive learning framework to generate structural representations, which are integrated with the side information to provide a more comprehensive view for alignment.
Abstractive Opinion Tagging
In this paper, we propose the abstractive opinion tagging task, where systems have to automatically generate a ranked list of opinion tags that are based on, but need not occur in, a given set of user-generated reviews.
PoGO-Net: Pose Graph Optimization With Graph Neural Networks
Accurate camera pose estimation or global camera re-localization is a core component in Structure-from-Motion (SfM) and SLAM systems.
Pushing the Envelope of Rotation Averaging for Visual SLAM
As an essential part of structure from motion (SfM) and Simultaneous Localization and Mapping (SLAM) systems, motion averaging has been extensively studied in the past years and continues to attract surging research attention.
Characterizing Reading Time on Enterprise Emails
Our approach starts with a reading time analysis based on the reading events from a major email platform, followed by a user study to provide explanations for some discoveries.
DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News
In this paper, we propose a novel deep neural network DP-LSTM for stock price prediction, which incorporates the news articles as hidden information and integrates difference news sources through the differential privacy mechanism.
Improving Human Annotation in Single Object Tracking
We then use different techniques to smooth the trajectories at certain degree.
Hybrid Camera Pose Estimation with Online Partitioning for SLAM
This paper presents a hybrid real-time camera pose estimation framework with a novel partitioning scheme and introduces motion averaging to monocular Simultaneous Localization and Mapping (SLAM) systems.
Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction
In this paper, we propose a novel deep neural network Mid-LSTM for midterm stock prediction, which incorporates the market trend as hidden states.
Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation
Portfolio allocation is crucial for investment companies.
Statistical Finance
