b'Jin Li'

research

∙ 06/28/2023

Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners

Representation learning has been evolving from traditional supervised tr...

0 Bowen Shi, et al. ∙

research

∙ 06/25/2023

G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer

Sequential recommendation requires understanding the dynamic patterns of...

0 Yuchen Zhuang, et al. ∙

research

∙ 06/07/2023

ContriMix: Unsupervised disentanglement of content and attribute for domain generalization in microscopy image analysis

Domain generalization is critical for real-world applications of machine...

0 Tan H. Nguyen, et al. ∙

research

∙ 05/23/2023

Text Is All You Need: Learning Language Representations for Sequential Recommendation

Sequential recommendation aims to model dynamic user behavior from histo...

0 Jiacheng Li, et al. ∙

research

∙ 05/15/2023

Autoencoder-based Anomaly Detection in Streaming Data with Incremental Learning and Concept Drift Adaptation

In our digital universe nowadays, enormous amount of data are produced i...

0 Jin Li, et al. ∙

research

∙ 05/09/2023

Learning to Personalize Recommendation based on Customers' Shopping Intents

Understanding the customers' high level shopping intent, such as their d...

0 Xin Shen, et al. ∙

research

∙ 04/17/2023

Two-stage MR Image Segmentation Method for Brain Tumors based on Attention Mechanism

Multimodal magnetic resonance imaging (MRI) can reveal different pattern...

0 Li Zhu, et al. ∙

research

∙ 04/10/2023

Differentially Private Numerical Vector Analyses in the Local and Shuffle Model

Numerical vector aggregation plays a crucial role in privacy-sensitive a...

0 Shaowei Wang, et al. ∙

research

∙ 02/18/2023

Differential Aggregation against General Colluding Attackers

Local Differential Privacy (LDP) is now widely adopted in large-scale sy...

0 Rong Du, et al. ∙

research

∙ 12/23/2022

Detecting Exploit Primitives Automatically for Heap Vulnerabilities on Binary Programs

Automated Exploit Generation (AEG) is a well-known difficult task, espec...

0 Jie Liu, et al. ∙

research

∙ 11/14/2022

Self-training of Machine Learning Models for Liver Histopathology: Generalization under Clinical Shifts

Histopathology images are gigapixel-sized and include features and infor...

0 Jin Li, et al. ∙

research

∙ 07/27/2022

Fine-grained Private Knowledge Distillation

Knowledge distillation has emerged as a scalable and effective way for p...

0 Shaowei Wang, et al. ∙

research

∙ 07/04/2022

CaTT-KWS: A Multi-stage Customized Keyword Spotting Framework based on Cascaded Transducer-Transformer

Customized keyword spotting (KWS) has great potential to be deployed on ...

0 Zhanheng Yang, et al. ∙

research

∙ 06/30/2022

Multiple Targets Directed Greybox Fuzzing

Directed greybox fuzzing (DGF) can quickly discover or reproduce bugs in...

0 Hongliang Liang, et al. ∙

research

∙ 06/20/2022

Adaptive Domain Interest Network for Multi-domain Recommendation

Industrial recommender systems usually hold data from multiple business ...

0 Yuchen Jiang, et al. ∙

research

∙ 04/05/2022

An efficient real-time target tracking algorithm using adaptive feature fusion

Visual-based target tracking is easily influenced by multiple factors, s...

0 Yanyan Liu, et al. ∙

research

∙ 04/04/2022

Coarse-to-Fine Sparse Sequential Recommendation

Sequential recommendation aims to model dynamic user behavior from histo...

0 Jiacheng Li, et al. ∙

research

∙ 03/18/2022

Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback

This paper studies the item-to-item recommendation problem in recommende...

0 Trong Nghia Hoang, et al. ∙

research

∙ 03/14/2022

A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources

Electronic Health Records (EHRs) are a valuable asset to facilitate clin...

0 Ghadeer Ghosheh, et al. ∙

research

∙ 03/11/2022

AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications

A critical step in virtual dental treatment planning is to accurately de...

0 Jin Hao, et al. ∙

research

∙ 02/21/2022

PointSCNet: Point Cloud Structure and Correlation Learning Based on Space Filling Curve-Guided Sampling

Geometrical structures and the internal local region relationship, such ...

0 Xingye Chen, et al. ∙

research

∙ 02/05/2022

GraphEye: A Novel Solution for Detecting Vulnerable Functions Based on Graph Attention Network

With the continuous extension of the Industrial Internet, cyber incident...

0 Li Zhou, et al. ∙

research

∙ 01/29/2022

ApolloRL: a Reinforcement Learning Platform for Autonomous Driving

We introduce ApolloRL, an open platform for research in reinforcement le...

0 Fei Gao, et al. ∙

research

∙ 12/22/2021

Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications

The recent availability of electronic health records (EHRs) have provide...

0 Jin Li, et al. ∙

research

∙ 12/08/2021

Neural Points: Point Cloud Representation with Neural Fields

In this paper, we propose Neural Points, a novel point cloud representat...

0 Wanquan Feng, et al. ∙

research

∙ 10/21/2021

Efficient Robotic Manipulation Through Offline-to-Online Reinforcement Learning and Goal-Aware State Information

End-to-end learning robotic manipulation with high data efficiency is on...

0 Jin Li, et al. ∙

research

∙ 09/03/2021

Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision

General Continual Learning (GCL) aims at learning from non independent a...

0 Zhong Ji, et al. ∙

research

∙ 08/31/2021

GeodesicEmbedding (GE): A High-Dimensional Embedding Approach for Fast Geodesic Distance Queries

In this paper, we develop a novel method for fast geodesic distance quer...

0 Qianwei Xia, et al. ∙

research

∙ 08/28/2021

Self-fulfilling Bandits: Endogeneity Spillover and Dynamic Selection in Algorithmic Decision-making

In this paper, we study endogeneity problems in algorithmic decision-mak...

0 Jin Li, et al. ∙

research

∙ 07/09/2021

Wavelet Transform-assisted Adaptive Generative Modeling for Colorization

Unsupervised deep learning has recently demonstrated the promise to prod...

12 Jin Li, et al. ∙

research

∙ 05/09/2021

Improving Cost Learning for JPEG Steganography by Exploiting JPEG Domain Knowledge

Although significant progress in automatic learning of steganographic co...

11 Weixuan Tang, et al. ∙

research

∙ 05/01/2021

Targeting the Weakest Link: Social Engineering Attacks in Ethereum Smart Contracts

Ethereum holds multiple billions of U.S. dollars in the form of Ether cr...

0 Nikolay Ivanov, et al. ∙

research

∙ 04/21/2021

Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-Overs

Recently, the witness of the rapidly growing popularity of short videos ...

0 Tingtian Li, et al. ∙

research

∙ 03/06/2021

Causal Reinforcement Learning: An Instrumental Variable Approach

In the standard data analysis framework, data is first collected (once f...

0 Jin Li, et al. ∙

research

∙ 02/18/2021

Truncation-Free Matching System for Display Advertising at Alibaba

Matching module plays a critical role in display advertising systems. Wi...

0 Jin Li, et al. ∙

research

∙ 12/28/2020

Joint Intensity-Gradient Guided Generative Modeling for Colorization

This paper proposes an iterative generative model for solving the automa...

5 Kai Hong, et al. ∙

research

∙ 11/10/2020

Role of Digital Twin in Optical Communication: Fault Management, Hardware Configuration, and Transmission Simulation

Optical communication is developing rapidly in the directions of hardwar...

0 Danshi Wang, 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

∙ 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

∙ 02/13/2020

Fast Reinforcement Learning for Anti-jamming Communications

This letter presents a fast reinforcement learning algorithm for anti-ja...

0 Pei-Gen Ye, et al. ∙

research

∙ 12/27/2019

URSA: Precise Capacity Planning and Contention-aware Scheduling for Public Clouds

Database platform-as-a-service (dbPaaS) is developing rapidly and a larg...

0 Ningxin Zheng, et al. ∙

research

∙ 11/24/2019

Controllable List-wise Ranking for Universal No-reference Image Quality Assessment

No-reference image quality assessment (NR-IQA) has received increasing a...

15 Fu-Zhao Ou, et al. ∙

research

∙ 08/02/2019

Universal Transforming Geometric Network

The recurrent geometric network (RGN), the first end-to-end differentiab...

0 Jin Li, et al. ∙

research

∙ 02/25/2019

Channel adversarial training for cross-channel text-independent speaker recognition

The conventional speaker recognition frameworks (e.g., the i-vector and ...

0 Xin Fang, et al. ∙

research

∙ 11/06/2018

Double Adaptive Stochastic Gradient Optimization

Adaptive moment methods have been remarkably successful in deep learning...

0 Kin Gutierrez, et al. ∙

research

∙ 10/16/2018

Security Matters: A Survey on Adversarial Machine Learning

Adversarial machine learning is a fast growing research area, which cons...

0 Guofu Li, et al. ∙

research

∙ 09/08/2018

A Real-time Robotic Grasp Approach with Oriented Anchor Box

Grasp is an essential skill for robots to interact with humans and the e...

0 Hanbo Zhang, et al. ∙

research

∙ 06/25/2018

An SOA Based Design of JUNO DAQ Online Software

The Online Software, manager of the JUNO data acquisition (DAQ) system, ...

0 Jin Li, et al. ∙

research

∙ 06/12/2018

Reversible Codes and Its Application to Reversible DNA Codes over F_4^k

Coterm polynomials are introduced by Oztas et al. [a novel approach for ...

0 Lei Chen, et al. ∙

research

∙ 03/19/2017

Zero-Shot Learning by Generating Pseudo Feature Representations

Zero-shot learning (ZSL) is a challenging task aiming at recognizing nov...

0 Jiang Lu, et al. ∙

Jin Li

Featured Co-authors