b'Han Li'

research

∙ 09/18/2023

Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation

Audio visual segmentation (AVS) aims to segment the sounding objects for...

0 Shaofei Huang, et al. ∙

research

∙ 08/10/2023

Cross-Domain Product Representation Learning for Rich-Content E-Commerce

The proliferation of short video and live-streaming platforms has revolu...

0 Xuehan Bai, et al. ∙

research

∙ 08/09/2023

Cross-view Semantic Alignment for Livestreaming Product Recognition

Live commerce is the act of selling products online through live streami...

0 Wenjie Yang, et al. ∙

research

∙ 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...

0 Hangcheng Liu, et al. ∙

research

∙ 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...

0 Hongwei Zheng, et al. ∙

research

∙ 07/14/2023

LEST: Large-scale LiDAR Semantic Segmentation with Transformer

Large-scale LiDAR-based point cloud semantic segmentation is a critical ...

0 Chuanyu Luo, et al. ∙

research

∙ 05/31/2023

Multi-Epoch Learning for Deep Click-Through Rate Prediction Models

The one-epoch overfitting phenomenon has been widely observed in industr...

0 Zhaocheng Liu, et al. ∙

research

∙ 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...

0 Jinyuan Li, et al. ∙

research

∙ 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...

0 Sheng Liu, et al. ∙

research

∙ 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...

0 Zhen Huang, et al. ∙

research

∙ 02/23/2023

Smaller Is Bigger: Rethinking the Embedding Rate of Deep Hiding

Deep hiding, concealing secret information using Deep Neural Networks (D...

0 Han Li, et al. ∙

research

∙ 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...

0 Han Li, et al. ∙

research

∙ 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...

1 Chinedu Innocent Nwoye, et al. ∙

research

∙ 02/09/2023

Mixed-order self-paced curriculum learning for universal lesion detection

Self-paced curriculum learning (SCL) has demonstrated its great potentia...

0 Han Li, et al. ∙

research

∙ 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...

33 Zikang Xu, et al. ∙

research

∙ 07/15/2022

Multi-node Acceleration for Large-scale GCNs

Limited by the memory capacity and compute power, singe-node graph convo...

0 Gongjian Sun, et al. ∙

research

∙ 07/09/2022

Accurate estimation of dynamical quantities for nonequilibrium nanoscale system

Fluctuations of dynamical quantities are fundamental and inevitable. For...

0 Zhi Xu, et al. ∙

research

∙ 06/02/2022

KPGT: Knowledge-Guided Pre-training of Graph Transformer for Molecular Property Prediction

Designing accurate deep learning models for molecular property predictio...

0 Han Li, et al. ∙

research

∙ 03/13/2022

SATr: Slice Attention with Transformer for Universal Lesion Detection

Universal Lesion Detection (ULD) in computed tomography plays an essenti...

0 Han Li, et al. ∙

research

∙ 03/11/2022

DNN Training Acceleration via Exploring GPGPU Friendly Sparsity

The training phases of Deep neural network (DNN) consumes enormous proce...

0 Zhuoran Song, et al. ∙

research

∙ 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...

0 Chuanyu Luo, et al. ∙

research

∙ 12/08/2021

Pareto Domain Adaptation

Domain adaptation (DA) attempts to transfer the knowledge from a labeled...

6 Fangrui Lv, et al. ∙

research

∙ 12/06/2021

Incentive Compatible Pareto Alignment for Multi-Source Large Graphs

In this paper, we focus on learning effective entity matching models ove...

9 Jian Liang, et al. ∙

research

∙ 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...

4 Han Li, et al. ∙

research

∙ 09/22/2021

Context-aware Tree-based Deep Model for Recommender Systems

How to predict precise user preference and how to make efficient retriev...

0 Daqing Chang, et al. ∙

research

∙ 06/04/2021

Learning Slice-Aware Representations with Mixture of Attentions

Real-world machine learning systems are achieving remarkable performance...

0 Cheng Wang, et al. ∙

research

∙ 03/23/2021

Conditional Training with Bounding Map for Universal Lesion Detection

Universal Lesion Detection (ULD) in computed tomography plays an essenti...

0 Han Li, et al. ∙

research

∙ 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...

0 Han Li, et al. ∙

research

∙ 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 ...

0 Sunghyun Park, 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

∙ 07/18/2020

Bounding Maps for Universal Lesion Detection

Universal Lesion Detection (ULD) in computed tomography plays an essenti...

0 Han Li, et al. ∙

research

∙ 06/29/2020

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising

In E-commerce, advertising is essential for merchants to reach their tar...

8 Xiaotian Hao, et al. ∙

research

∙ 06/27/2020

Learning Optimal Tree Models Under Beam Search

Retrieving relevant targets from an extremely large target set under com...

0 Jingwei Zhuo, et al. ∙

research

∙ 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...

0 Xiaotian Hao, et al. ∙

research

∙ 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-...

0 Han Li, et al. ∙

research

∙ 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...

0 Dagui Chen, et al. ∙

research

∙ 07/21/2019

Spectral-based Graph Convolutional Network for Directed Graphs

Graph convolutional networks(GCNs) have become the most popular approach...

0 Yi Ma, et al. ∙

research

∙ 05/02/2019

Continuous Learning for Large-scale Personalized Domain Classification

Domain classification is the task of mapping spoken language utterances ...

0 Han Li, et al. ∙

research

∙ 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...

0 Han Zhu, et al. ∙

research

∙ 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...

0 Weixun Wang, et al. ∙

research

∙ 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 ...

0 Junqi Jin, et al. ∙

research

∙ 01/08/2018

Learning Tree-based Deep Model for Recommender Systems

We propose a novel recommendation method based on tree. With user behavi...

0 Han Zhu, et al. ∙

research

∙ 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...

0 Chaojie Wang, et al. ∙

research

∙ 09/29/2017

Toward a System Building Agenda for Data Integration

In this paper we argue that the data management community should devote ...

0 AnHai Doan, et al. ∙

research

∙ 06/21/2017

Deep Interest Network for Click-Through Rate Prediction

To better extract users' interest by exploiting the rich historical beha...

0 Guorui Zhou, et al. ∙

research

∙ 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...

0 Kun Gai, et al. ∙

research

∙ 02/27/2017

Optimized Cost per Click in Taobao Display Advertising

Taobao, as the largest online retail platform in the world, provides bil...

0 Han Zhu, et al. ∙

research

∙ 11/19/2012

Efficient Superimposition Recovering Algorithm

In this article, we address the issue of recovering latent transparent l...

0 Han Li, et al. ∙

Han Li

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