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08/23/2023
MARC: Multipolicy and Risk-aware Contingency Planning for Autonomous Driving
Generating safe and non-conservative behaviors in dense, dynamic environ...
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07/08/2023
Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
Image denoising is a fundamental problem in computational photography, w...
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06/14/2023
Carbon emissions and sustainability of launching 5G mobile networks in China
Since 2021, China has deployed more than 2.1 million 5G base stations to...
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05/31/2023
A Sequence-to-Sequence Set Model for Text-to-Table Generation
Recently, the text-to-table generation task has attracted increasing att...
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04/24/2023
Improving Knowledge Distillation Via Transferring Learning Ability
Existing knowledge distillation methods generally use a teacher-student ...
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03/10/2023
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection
Social bot detection is of paramount importance to the resilience and se...
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12/06/2022
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression
Geometry problem solving is a well-recognized testbed for evaluating the...
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10/12/2022
Point Cloud Scene Completion with Joint Color and Semantic Estimation from Single RGB-D Image
We present a deep reinforcement learning method of progressive view inpa...
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08/28/2022
Differential Flatness-Based Trajectory Planning for Autonomous Vehicles
As a core part of autonomous driving systems, motion planning has receiv...
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08/14/2022
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction
Spatiotemporal activity prediction, aiming to predict user activities at...
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07/27/2022
Mid-level Representation Enhancement and Graph Embedded Uncertainty Suppressing for Facial Expression Recognition
Facial expression is an essential factor in conveying human emotional st...
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07/19/2022
Enhancing Collaborative Filtering Recommender with Prompt-Based Sentiment Analysis
Collaborative Filtering(CF) recommender is a crucial application in the ...
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05/24/2022
Medical Scientific Table-to-Text Generation with Human-in-the-Loop under the Data Sparsity Constraint
Structured (tabular) data in the preclinical and clinical domains contai...
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05/18/2022
A Scalable Workflow to Build Machine Learning Classifiers with Clinician-in-the-Loop to Identify Patients in Specific Diseases
Clinicians may rely on medical coding systems such as International Clas...
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12/15/2021
Algorithms for Adaptive Experiments that Trade-off Statistical Analysis with Reward: Combining Uniform Random Assignment and Reward Maximization
Multi-armed bandit algorithms like Thompson Sampling can be used to cond...
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09/04/2021
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case
Contextualised word embeddings is a powerful tool to detect contextual s...
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08/09/2021
Bayesian Analysis of Sparse Multivariate Matched Proportions
Multivariate matched proportions (MMP) data appears in a variety of cont...
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05/07/2021
Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images
The early diagnosis and screening of glaucoma are important for patients...
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02/26/2021
Building Blocks of Sharding Blockchain Systems: Concepts, Approaches, and Open Problems
Sharding is the prevalent approach to breaking the trilemma of simultane...
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12/11/2020
Document-aligned Japanese-English Conversation Parallel Corpus
Sentence-level (SL) machine translation (MT) has reached acceptable qual...
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11/24/2020
C-Learning: Horizon-Aware Cumulative Accessibility Estimation
Multi-goal reaching is an important problem in reinforcement learning ne...
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08/28/2020
Bluetooth-based COVID-19 Proximity Tracing Proposals: An Overview
Large-scale COVID-19 infections have occurred worldwide, which has cause...
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08/05/2020
Designing the Business Conversation Corpus
While the progress of machine translation of written text has come far i...
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08/01/2020
Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records
Recently, E-commerce platforms have extensive impacts on our human life....
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04/25/2020
Urban Anomaly Analytics: Description, Detection, and Prediction
Urban anomalies may result in loss of life or property if not handled pr...
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03/26/2020
A Survey on Edge Intelligence
Edge intelligence refers to a set of connected systems and devices for d...
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09/19/2019
Posterior Contraction Rate of Sparse Latent Feature Models with Application to Proteomics
The Indian buffet process (IBP) and phylogenetic Indian buffet process (...
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09/07/2019
On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives
Nonparametric tests via kernel embedding of distributions have witnessed...
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03/15/2019
Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation
Human-object interactions (HOI) recognition and pose estimation are two ...
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09/03/2018
Barriers in Seamless QoS for Mobile Applications
For seamless QoS, it is important that all the stakeholders, such as the...
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07/07/2018
Cellular Controlled Delay TCP (C2TCP)
Cellular networks have special characteristics including highly variable...
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09/24/2017
On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests
The reproducing kernel Hilbert space (RKHS) embedding of distributions o...
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01/23/2013
