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07/10/2023
RLTF: Reinforcement Learning from Unit Test Feedback
The goal of program synthesis, or code generation, is to generate execut...
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06/05/2023
HeadSculpt: Crafting 3D Head Avatars with Text
Recently, text-guided 3D generative methods have made remarkable advance...
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03/04/2023
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks
In the fashion domain, there exists a variety of vision-and-language (V+...
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03/04/2023
Achieving Counterfactual Fairness for Anomaly Detection
Ensuring fairness in anomaly detection models has received much attentio...
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02/24/2023
Slate-Aware Ranking for Recommendation
We see widespread adoption of slate recommender systems, where an ordere...
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02/11/2023
Cross-center Early Sepsis Recognition by Medical Knowledge Guided Collaborative Learning for Data-scarce Hospitals
There are significant regional inequities in health resources around the...
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02/11/2023
Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks
Collaboration between healthcare institutions can significantly lessen t...
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12/10/2022
A Unified Knowledge Graph Service for Developing Domain Language Models in AI Software
Natural Language Processing (NLP) is one of the core techniques in AI so...
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12/08/2022
On Interpretable Anomaly Detection Using Causal Algorithmic Recourse
As many deep anomaly detection models have been deployed in the real-wor...
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12/04/2022
RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning
Whole-slide images (WSI) in computational pathology have high resolution...
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11/29/2022
Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise
Federated learning seeks to address the issue of isolated data islands b...
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11/22/2022
LiCamGait: Gait Recognition in the Wild by Using LiDAR and Camera Multi-modal Visual Sensors
LiDAR can capture accurate depth information in large-scale scenarios wi...
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10/18/2022
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction
Bilingual lexicon induction induces the word translations by aligning in...
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08/01/2022
Large-Scale Product Retrieval with Weakly Supervised Representation Learning
Large-scale weakly supervised product retrieval is a practically useful ...
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07/17/2022
FashionViL: Fashion-Focused Vision-and-Language Representation Learning
Large-scale Vision-and-Language (V+L) pre-training for representation le...
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05/28/2022
Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks
Network embedding represents network nodes by a low-dimensional informat...
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04/06/2022
UIGR: Unified Interactive Garment Retrieval
Interactive garment retrieval (IGR) aims to retrieve a target garment im...
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01/10/2022
Spiked eigenvalues of high-dimensional sample autocovariance matrices: CLT and applications
High-dimensional autocovariance matrices play an important role in dimen...
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12/15/2021
HyObscure: Hybrid Obscuring for Privacy-Preserving Data Publishing
Minimizing privacy leakage while ensuring data utility is a critical pro...
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12/15/2021
Data Valuation for Vertical Federated Learning: An Information-Theoretic Approach
Federated learning (FL) is a promising machine learning paradigm that en...
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12/04/2021
Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers
Hierarchical classification aims to sort the object into a hierarchy of ...
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11/23/2021
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning
Labels are costly and sometimes unreliable. Noisy label learning, semi-s...
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10/20/2021
Text-Based Person Search with Limited Data
Text-based person search (TBPS) aims at retrieving a target person from ...
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04/06/2021
Misbehavior Detection in Wi-Fi/LTE Coexistence over Unlicensed Bands
We consider the problem of fair coexistence between LTE and Wi-Fi system...
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12/09/2020
Label Confusion Learning to Enhance Text Classification Models
Representing a true label as a one-hot vector is a common practice in tr...
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11/06/2020
Federated Crowdsensing: Framework and Challenges
Crowdsensing is a promising sensing paradigm for smart city applications...
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09/15/2020
Microscope Based HER2 Scoring System
The overexpression of human epidermal growth factor receptor 2 (HER2) ha...
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07/14/2020
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset
We present Covidex, a search engine that exploits the latest neural rank...
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12/25/2019
Universal Rank Inference via Residual Subsampling with Application to Large Networks
Determining the precise rank is an important problem in many large-scale...
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12/19/2019
Semi-Supervised Deep Learning Using Improved Unsupervised Discriminant Projection
Deep learning demands a huge amount of well-labeled data to train the ne...
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12/08/2019
High-Freedom Inverse Design with Deep Neural Network for Metasurface Filter in the Visible
In order to obtain a metasurface structure capable of filtering the ligh...
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10/19/2019
CreditPrint: Credit Investigation via Geographic Footprints by Deep Learning
Credit investigation is critical for financial services. Whereas, tradit...
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10/16/2019
Joint Transmit and Reflective Beamforming Design for IRS-Assisted Multiuser MISO SWIPT Systems
This paper studies an intelligent reflecting surface (IRS)-assisted mult...
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10/03/2019
SIMPLE: Statistical Inference on Membership Profiles in Large Networks
Network data is prevalent in many contemporary big data applications in ...
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02/19/2019
Asymptotic Theory of Eigenvectors for Large Random Matrices
Characterizing the exact asymptotic distributions of high-dimensional ei...
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01/13/2019
The Liver Tumor Segmentation Benchmark (LiTS)
In this work, we report the set-up and results of the Liver Tumor Segmen...
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03/21/2018
IEEE 802.11ay based mmWave WLANs: Design Challenges and Solutions
Millimeter-wave (mmWave) with large spectrum available is considered as ...
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11/01/2017
Limiting Laws for Divergent Spiked Eigenvalues and Largest Non-spiked Eigenvalue of Sample Covariance Matrices
We study the asymptotic distributions of the spiked eigenvalues and the ...
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10/28/2017