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09/18/2023
Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation
Audio visual segmentation (AVS) aims to segment the sounding objects for...
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08/10/2023
Cross-Domain Product Representation Learning for Rich-Content E-Commerce
The proliferation of short video and live-streaming platforms has revolu...
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08/09/2023
Cross-view Semantic Alignment for Livestreaming Product Recognition
Live commerce is the act of selling products online through live streami...
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08/03/2023
Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding
Deep hiding, embedding images with others using deep neural networks, ha...
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07/18/2023
ActionPrompt: Action-Guided 3D Human Pose Estimation With Text and Pose Prompting
Recent 2D-to-3D human pose estimation (HPE) utilizes temporal consistenc...
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07/14/2023
LEST: Large-scale LiDAR Semantic Segmentation with Transformer
Large-scale LiDAR-based point cloud semantic segmentation is a critical ...
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05/31/2023
Multi-Epoch Learning for Deep Click-Through Rate Prediction Models
The one-epoch overfitting phenomenon has been widely observed in industr...
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05/20/2023
Prompt ChatGPT In MNER: Improved multimodal named entity recognition method based on auxiliary refining knowledge from ChatGPT
Multimodal Named Entity Recognition (MNER) on social media aims to enhan...
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05/16/2023
Security Enhancement of Quantum Noise Stream Cipher Based on Probabilistic Constellation Shaping
We propose a QNSC pre-coding scheme based on probabilistic shaping of th...
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05/07/2023
PELE scores: Pelvic X-ray Landmark Detection by Pelvis Extraction and Enhancement
The pelvis, the lower part of the trunk, supports and balances the trunk...
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02/23/2023
Smaller Is Bigger: Rethinking the Embedding Rate of Deep Hiding
Deep hiding, concealing secret information using Deep Neural Networks (D...
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02/15/2023
Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation
There has been a recent surge of interest in introducing transformers to...
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02/13/2023
CholecTriplet2022: Show me a tool and tell me the triplet – an endoscopic vision challenge for surgical action triplet detection
Formalizing surgical activities as triplets of the used instruments, act...
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02/09/2023
Mixed-order self-paced curriculum learning for universal lesion detection
Self-paced curriculum learning (SCL) has demonstrated its great potentia...
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09/27/2022
A Survey of Fairness in Medical Image Analysis: Concepts, Algorithms, Evaluations, and Challenges
Fairness, a criterion focuses on evaluating algorithm performance on dif...
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07/15/2022
Multi-node Acceleration for Large-scale GCNs
Limited by the memory capacity and compute power, singe-node graph convo...
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07/09/2022
Accurate estimation of dynamical quantities for nonequilibrium nanoscale system
Fluctuations of dynamical quantities are fundamental and inevitable. For...
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06/02/2022
KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property Prediction
Designing accurate deep learning models for molecular property predictio...
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03/13/2022
SATr: Slice Attention with Transformer for Universal Lesion Detection
Universal Lesion Detection (ULD) in computed tomography plays an essenti...
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03/11/2022
DNN Training Acceleration via Exploring GPGPU Friendly Sparsity
The training phases of Deep neural network (DNN) consumes enormous proce...
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01/30/2022
MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds
Semantic segmentation of 3D point cloud is an essential task for autonom...
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12/08/2021
Pareto Domain Adaptation
Domain adaptation (DA) attempts to transfer the knowledge from a labeled...
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12/06/2021
Incentive Compatible Pareto Alignment for Multi-Source Large Graphs
In this paper, we focus on learning effective entity matching models ove...
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11/23/2021
Hierarchical Graph Networks for 3D Human Pose Estimation
Recent 2D-to-3D human pose estimation works tend to utilize the graph st...
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09/22/2021
Context-aware Tree-based Deep Model for Recommender Systems
How to predict precise user preference and how to make efficient retriev...
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06/04/2021
Learning Slice-Aware Representations with Mixture of Attentions
Real-world machine learning systems are achieving remarkable performance...
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03/23/2021
Conditional Training with Bounding Map for Universal Lesion Detection
Universal Lesion Detection (ULD) in computed tomography plays an essenti...
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03/04/2021
Neural model robustness for skill routing in large-scale conversational AI systems: A design choice exploration
Current state-of-the-art large-scale conversational AI or intelligent di...
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10/23/2020
A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems
Natural Language Understanding (NLU) is an established component within ...
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09/03/2020
Learning to Infer User Hidden States for Online Sequential Advertising
To drive purchase in online advertising, it is of the advertiser's great...
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08/20/2020
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction
For e-commerce platforms such as Taobao and Amazon, advertisers play an ...
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07/18/2020
Bounding Maps for Universal Lesion Detection
Universal Lesion Detection (ULD) in computed tomography plays an essenti...
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06/29/2020
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
In E-commerce, advertising is essential for merchants to reach their tar...
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06/27/2020
Learning Optimal Tree Models Under Beam Search
Retrieving relevant targets from an extremely large target set under com...
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05/09/2020
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising
Bipartite b-matching is fundamental in algorithm design, and has been wi...
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12/15/2019
A Statistical Explanation of the Timing Attack on QC-MDPC Code Crypto-system
The McEliece cryptosystem based on quasi-cyclic moderate-density parity-...
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08/19/2019
Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds
Most e-commerce product feeds provide blended results of advertised prod...
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07/21/2019
Spectral-based Graph Convolutional Network for Directed Graphs
Graph convolutional networks(GCNs) have become the most popular approach...
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05/02/2019
Continuous Learning for Large-scale Personalized Domain Classification
Domain classification is the task of mapping spoken language utterances ...
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02/19/2019
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
Large-scale industrial recommender systems are usually confronted with c...
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09/10/2018
Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning
For online advertising in e-commerce, the traditional problem is to assi...
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02/27/2018
Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising
Real-time advertising allows advertisers to bid for each impression for ...
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01/08/2018
Learning Tree-based Deep Model for Recommender Systems
We propose a novel recommendation method based on tree. With user behavi...
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12/02/2017
Efficient Bayesian Nonparametric Inference for Categorical Data with General High Missingness
Missingness in categorical data is a common problem in various real appl...
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09/29/2017
Toward a System Building Agenda for Data Integration
In this paper we argue that the data management community should devote ...
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06/21/2017
Deep Interest Network for Click-Through Rate Prediction
To better extract users' interest by exploiting the rich historical beha...
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04/18/2017
Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction
CTR prediction in real-world business is a difficult machine learning pr...
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02/27/2017
Optimized Cost per Click in Taobao Display Advertising
Taobao, as the largest online retail platform in the world, provides bil...
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11/19/2012