b'Jian Xu'

research

∙ 09/17/2023

Double Normalizing Flows: Flexible Bayesian Gaussian Process ODEs Learning

Recently, Gaussian processes have been utilized to model the vector fiel...

0 Jian Xu, et al. ∙

research

∙ 09/13/2023

Stepwise Model Reconstruction of Robotic Manipulator Based on Data-Driven Method

Research on dynamics of robotic manipulators provides promising support ...

0 Dingxu Guo, et al. ∙

research

∙ 08/21/2023

CHORD: Category-level Hand-held Object Reconstruction via Shape Deformation

In daily life, humans utilize hands to manipulate objects. Modeling the ...

0 Kailin Li, et al. ∙

research

∙ 06/29/2023

Multi-Scenario Ranking with Adaptive Feature Learning

Recently, Multi-Scenario Learning (MSL) is widely used in recommendation...

0 Yu Tian, et al. ∙

research

∙ 06/20/2023

Personalized Federated Learning with Feature Alignment and Classifier Collaboration

Data heterogeneity is one of the most challenging issues in federated le...

0 Jian Xu, et al. ∙

research

∙ 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...

0 Jingyue Gao, et al. ∙

research

∙ 06/06/2023

COPR: Consistency-Oriented Pre-Ranking for Online Advertising

Cascading architecture has been widely adopted in large-scale advertisin...

0 Zhishan Zhao, et al. ∙

research

∙ 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...

0 Zhangming Chan, et al. ∙

research

∙ 04/08/2023

POEM: Reconstructing Hand in a Point Embedded Multi-view Stereo

Enable neural networks to capture 3D geometrical-aware features is essen...

0 Lixin Yang, et al. ∙

research

∙ 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...

0 Qinyan Zhou, et al. ∙

research

∙ 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...

0 Jian Xu, et al. ∙

research

∙ 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...

0 Ming-Hsiang Tsou, et al. ∙

research

∙ 01/30/2023

Designing Ad Auctions with Private Constraints for Automated Bidding

In online advertising, automated bidding (auto-bidding) has become a wid...

0 Yidan Xing, et al. ∙

research

∙ 10/13/2022

Sustainable Online Reinforcement Learning for Auto-bidding

Recently, auto-bidding technique has become an essential tool to increas...

0 Zhiyu Mou, et al. ∙

research

∙ 09/19/2022

Learning Optimal Deterministic Auctions with Correlated Valuation Distributions

In mechanism design, it is challenging to design the optimal auction wit...

0 Da Huo, et al. ∙

research

∙ 08/12/2022

Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model

Despite the development of ranking optimization techniques, the pointwis...

0 Xiang-Rong Sheng, et al. ∙

research

∙ 06/02/2022

Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization

Learning individual-level treatment effect is a fundamental problem in c...

0 Mingyuan Cheng, et al. ∙

research

∙ 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...

0 Xinyi Tong, et al. ∙

research

∙ 05/09/2022

Visual Encoding and Debiasing for CTR Prediction

Extracting expressive visual features is crucial for accurate Click-Thro...

0 Si Chen, et al. ∙

research

∙ 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...

0 Zhaoxin Fan, et al. ∙

research

∙ 03/19/2022

TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed

Continuous normalizing flows (CNFs) construct invertible mappings betwee...

0 Shian Du, et al. ∙

research

∙ 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...

0 Diu Khue Luu, et al. ∙

research

∙ 03/11/2022

Impression Allocation and Policy Search in Display Advertising

In online display advertising, guaranteed contracts and real-time biddin...

0 Di Wu, et al. ∙

research

∙ 03/07/2022

Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval

Passage retrieval is a fundamental task in information retrieval (IR) re...

0 Dingkun Long, et al. ∙

research

∙ 02/14/2022

Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction

Alleviating the delayed feedback problem is of crucial importance for th...

5 Yu Chen, et al. ∙

research

∙ 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...

0 Qianqian Zhang, et al. ∙

research

∙ 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...

5 Zhaoxin Fan, et al. ∙

research

∙ 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...

0 Zongtao Liu, et al. ∙

research

∙ 10/25/2021

Learning Continuous Face Representation with Explicit Functions

How to represent a face pattern? While it is presented in a continuous w...

14 Liping Zhang, et al. ∙

research

∙ 09/13/2021

SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering

Gradient-based training in federated learning is known to be vulnerable ...

0 Jian Xu, et al. ∙

research

∙ 08/24/2021

Binary Code based Hash Embedding for Web-scale Applications

Nowadays, deep learning models are widely adopted in web-scale applicati...

0 Bencheng Yan, et al. ∙

research

∙ 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...

0 Bencheng Yan, et al. ∙

research

∙ 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...

0 Hongbin Fang, et al. ∙

research

∙ 06/15/2021

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

Artificial Intelligence (AI), along with the recent progress in biomedic...

0 Ningyu Zhang, et al. ∙

research

∙ 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...

0 Chao Wen, et al. ∙

research

∙ 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...

0 Ziyu Guan, et al. ∙

research

∙ 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...

0 Xiangyu Liu, et al. ∙

research

∙ 05/17/2021

Accelerating 3D MULTIPLEX MRI Reconstruction with Deep Learning

Multi-contrast MRI images provide complementary contrast information abo...

0 Eric Z. Chen, et al. ∙

research

∙ 05/17/2021

Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction

Retrospectively gated cine (retro-cine) MRI is the clinical standard for...

15 Eric Z. Chen, et al. ∙

research

∙ 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...

0 Xu Ma, et al. ∙

research

∙ 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...

23 Anh Tuan Nguyen, et al. ∙

research

∙ 03/03/2021

Computation Resource Allocation Solution in Recommender Systems

Recommender systems rely heavily on increasing computation resources to ...

0 Xun Yang, et al. ∙

research

∙ 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...

0 Zhilin Zhang, et al. ∙

research

∙ 11/25/2020

Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning

Modern online advertising systems inevitably rely on personalization met...

0 Chao Du, et al. ∙

research

∙ 11/11/2020

CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction

Inspired by the success of deep learning, recent industrial Click-Throug...

0 Guorui Zhou, et al. ∙

research

∙ 09/26/2020

Can pandemics transform scientific novelty? Evidence from COVID-19

Scientific novelty is important during the pandemic due to its critical ...

0 Meijun Liu, et al. ∙

research

∙ 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...

8 Zhaoqing Peng, et al. ∙

research

∙ 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 ...

9 Liyi Guo, et al. ∙

research

∙ 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...

0 Eric Z. Chen, et al. ∙

research

∙ 08/03/2020

GmFace: A Mathematical Model for Face Image Representation Using Multi-Gaussian

Establishing mathematical models is a ubiquitous and effective method to...

13 Liping Zhang, et al. ∙

Jian Xu

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