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09/17/2023
Double Normalizing Flows: Flexible Bayesian Gaussian Process ODEs Learning
Recently, Gaussian processes have been utilized to model the vector fiel...
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09/13/2023
Stepwise Model Reconstruction of Robotic Manipulator Based on Data-Driven Method
Research on dynamics of robotic manipulators provides promising support ...
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08/21/2023
CHORD: Category-level Hand-held Object Reconstruction via Shape Deformation
In daily life, humans utilize hands to manipulate objects. Modeling the ...
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06/29/2023
Multi-Scenario Ranking with Adaptive Feature Learning
Recently, Multi-Scenario Learning (MSL) is widely used in recommendation...
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06/20/2023
Personalized Federated Learning with Feature Alignment and Classifier Collaboration
Data heterogeneity is one of the most challenging issues in federated le...
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06/06/2023
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao
Click-Through Rate (CTR) prediction serves as a fundamental component in...
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06/06/2023
COPR: Consistency-Oriented Pre-Ranking for Online Advertising
Cascading architecture has been widely adopted in large-scale advertisin...
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05/22/2023
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach
Conversion rate (CVR) prediction is one of the core components in online...
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04/08/2023
POEM: Reconstructing Hand in a Point Embedded Multi-view Stereo
Enable neural networks to capture 3D geometrical-aware features is essen...
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03/21/2023
Dynamic models for Planar Peristaltic Locomotion of a Metameric Earthworm-like Robot
The development of versatile robots capable of traversing challenging an...
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03/11/2023
Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout
The label distribution skew induced data heterogeniety has been shown to...
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03/02/2023
Building Dynamic Ontological Models for Place using Social Media Data from Twitter and Sina Weibo
Place holds human thoughts and experiences. Space is defined with geomet...
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01/30/2023
Designing Ad Auctions with Private Constraints for Automated Bidding
In online advertising, automated bidding (auto-bidding) has become a wid...
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10/13/2022
Sustainable Online Reinforcement Learning for Auto-bidding
Recently, auto-bidding technique has become an essential tool to increas...
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09/19/2022
Learning Optimal Deterministic Auctions with Correlated Valuation Distributions
In mechanism design, it is challenging to design the optimal auction wit...
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08/12/2022
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model
Despite the development of ranking optimization techniques, the pointwis...
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06/02/2022
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization
Learning individual-level treatment effect is a fundamental problem in c...
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05/13/2022
An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication
In this paper, we study the information transmission problem under the d...
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05/09/2022
Visual Encoding and Debiasing for CTR Prediction
Extracting expressive visual features is crucial for accurate Click-Thro...
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04/04/2022
Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image
Recently, RGBD-based category-level 6D object pose estimation has achiev...
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03/19/2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed
Continuous normalizing flows (CNFs) construct invertible mappings betwee...
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03/16/2022
Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface
Objective: The next generation prosthetic hand that moves and feels like...
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03/11/2022
Impression Allocation and Policy Search in Display Advertising
In online display advertising, guaranteed contracts and real-time biddin...
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03/07/2022
Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval
Passage retrieval is a fundamental task in information retrieval (IR) re...
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02/14/2022
Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction
Alleviating the delayed feedback problem is of crucial importance for th...
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01/18/2022
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling
Advertisers play an essential role in many e-commerce platforms like Tao...
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11/20/2021
ACR-Pose: Adversarial Canonical Representation Reconstruction Network for Category Level 6D Object Pose Estimation
Recently, category-level 6D object pose estimation has achieved signific...
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11/01/2021
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching
Digital advertising is a critical part of many e-commerce platforms such...
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10/25/2021
Learning Continuous Face Representation with Explicit Functions
How to represent a face pattern? While it is presented in a continuous w...
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09/13/2021
SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering
Gradient-based training in federated learning is known to be vulnerable ...
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08/24/2021
Binary Code based Hash Embedding for Web-scale Applications
Nowadays, deep learning models are widely adopted in web-scale applicati...
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08/24/2021
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer
Embedding learning for categorical features is crucial for the deep lear...
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08/12/2021
An Earthworm-Inspired Multi-Mode Underwater Locomotion Robot: Design, Modeling, and Experiments
Faced with strong demand for robots working in underwater pipeline envir...
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06/15/2021
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Artificial Intelligence (AI), along with the recent progress in biomedic...
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06/11/2021
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising
In online advertising, auto-bidding has become an essential tool for adv...
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06/08/2021
Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search
Bid optimization for online advertising from single advertiser's perspec...
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06/07/2021
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising
In e-commerce advertising, it is crucial to jointly consider various per...
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05/17/2021
Accelerating 3D MULTIPLEX MRI Reconstruction with Deep Learning
Multi-contrast MRI images provide complementary contrast information abo...
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05/17/2021
Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction
Retrospectively gated cine (retro-cine) MRI is the clinical standard for...
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05/17/2021
Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach
In real-world search, recommendation, and advertising systems, the multi...
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03/24/2021
A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control
Objective: Deep learning-based neural decoders have emerged as the promi...
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03/03/2021
Computation Resource Allocation Solution in Recommender Systems
Recommender systems rely heavily on increasing computation resources to ...
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12/05/2020
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising
In e-commerce advertising, the ad platform usually relies on auction mec...
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11/25/2020
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning
Modern online advertising systems inevitably rely on personalization met...
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11/11/2020
CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction
Inspired by the success of deep learning, recent industrial Click-Throug...
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09/26/2020
Can pandemics transform scientific novelty? Evidence from COVID-19
Scientific novelty is important during the pandemic due to its critical ...
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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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08/12/2020
Real-Time Cardiac Cine MRI with Residual Convolutional Recurrent Neural Network
Real-time cardiac cine MRI does not require ECG gating in the data acqui...
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08/03/2020
