b'Tao Yang'

research

∙ 05/31/2023

Distributed Online Convex Optimization with Adversarial Constraints: Reduced Cumulative Constraint Violation Bounds under Slater's Condition

This paper considers distributed online convex optimization with adversa...

0 Xinlei Yi, et al. ∙

research

∙ 05/30/2023

Multi-source adversarial transfer learning for ultrasound image segmentation with limited similarity

Lesion segmentation of ultrasound medical images based on deep learning ...

0 Yifu Zhang, et al. ∙

research

∙ 05/29/2023

Vector-based Representation is the Key: A Study on Disentanglement and Compositional Generalization

Recognizing elementary underlying concepts from observations (disentangl...

0 Tao Yang, et al. ∙

research

∙ 05/26/2023

FARA: Future-aware Ranking Algorithm for Fairness Optimization

Ranking systems are the key components of modern Information Retrieval (...

0 Tao Yang, et al. ∙

research

∙ 05/26/2023

Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach

Ranking is at the core of many artificial intelligence (AI) applications...

0 Tao Yang, et al. ∙

research

∙ 05/02/2023

Optimizing Guided Traversal for Fast Learned Sparse Retrieval

Recent studies show that BM25-driven dynamic index skipping can greatly ...

0 Yifan Qiao, et al. ∙

research

∙ 04/20/2023

A geometry-aware deep network for depth estimation in monocular endoscopy

Monocular depth estimation is critical for endoscopists to perform spati...

0 Yongming Yang, et al. ∙

research

∙ 03/23/2023

Continuous Indeterminate Probability Neural Network

This paper introduces a general model called CIPNN - Continuous Indeterm...

0 Tao Yang, et al. ∙

research

∙ 03/21/2023

Indeterminate Probability Neural Network

We propose a new general model called IPNN - Indeterminate Probability N...

1 Tao Yang, et al. ∙

research

∙ 03/14/2023

Koos Classification of Vestibular Schwannoma via Image Translation-Based Unsupervised Cross-Modality Domain Adaptation

The Koos grading scale is a classification system for vestibular schwann...

0 Tao Yang, et al. ∙

research

∙ 02/16/2023

Research on road object detection algorithm based on improved YOLOX

Road object detection is an important branch of automatic driving techno...

0 Tao Yang, et al. ∙

research

∙ 01/31/2023

DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models

In this paper, targeting to understand the underlying explainable factor...

0 Tao Yang, et al. ∙

research

∙ 12/22/2022

DDColor: Towards Photo-Realistic and Semantic-Aware Image Colorization via Dual Decoders

Automatic image colorization is a particularly challenging problem. Due ...

0 Xiaoyang Kang, et al. ∙

research

∙ 12/18/2022

Marginal-Certainty-aware Fair Ranking Algorithm

Ranking systems are ubiquitous in modern Internet services, including on...

0 Tao Yang, et al. ∙

research

∙ 12/03/2022

Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection

Predicting personality traits based on online posts has emerged as an im...

0 Tao Yang, et al. ∙

research

∙ 11/03/2022

Extracting Spatial Interaction Patterns between Urban Road Networks and Mixed Functions

In the field of urban planning, road network system planning is often th...

0 Huidan Xiao, et al. ∙

research

∙ 10/27/2022

RePAST: A ReRAM-based PIM Accelerator for Second-order Training of DNN

The second-order training methods can converge much faster than first-or...

0 Yilong Zhao, et al. ∙

research

∙ 10/12/2022

AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning

Fine-tuning large pre-trained language models on downstream tasks is apt...

0 Tao Yang, et al. ∙

research

∙ 10/08/2022

Fast-ParC: Position Aware Global Kernel for ConvNets and ViTs

Transformer models have made tremendous progress in various fields in re...

0 Tao Yang, et al. ∙

research

∙ 10/04/2022

Doubly-Irregular Repeat-Accumulate Codes over Integer Rings for Multi-user Communications

Structured codes based on lattices were shown to provide enlarged capaci...

0 Fangtao Yu, et al. ∙

research

∙ 08/16/2022

Reinforcement Learning to Rank with Coarse-grained Labels

Ranking lies at the core of many Information Retrieval (IR) tasks. While...

0 Zhichao Xu, et al. ∙

research

∙ 06/17/2022

A Flexible Diffusion Model

Diffusion (score-based) generative models have been widely used for mode...

13 Weitao Du, et al. ∙

research

∙ 06/10/2022

Learning to Rank Rationales for Explainable Recommendation

State-of-the-art recommender system (RS) mostly rely on complex deep neu...

0 Zhichao Xu, et al. ∙

research

∙ 05/20/2022

Test-time Batch Normalization

Deep neural networks often suffer the data distribution shift between tr...

6 Tao Yang, et al. ∙

research

∙ 05/20/2022

Visual Concepts Tokenization

Obtaining the human-like perception ability of abstracting visual concep...

2 Tao Yang, et al. ∙

research

∙ 04/23/2022

Dual Skipping Guidance for Document Retrieval with Learned Sparse Representations

This paper proposes a dual skipping guidance scheme with hybrid scoring ...

0 Yifan Qiao, et al. ∙

research

∙ 04/21/2022

Hybrid Cloud-Edge Collaborative Data Anomaly Detection in Industrial Sensor Networks

Industrial control systems (ICSs) are facing increasing cyber-physical a...

2 Tao Yang, et al. ∙

research

∙ 04/06/2022

Effective Exposure Amortizing for Fair Top-k Recommendation

Result ranking often affects customer satisfaction as well as the amount...

0 Tao Yang, et al. ∙

research

∙ 03/29/2022

Compact Token Representations with Contextual Quantization for Efficient Document Re-ranking

Transformer based re-ranking models can achieve high search relevance th...

0 Yingrui Yang, et al. ∙

research

∙ 03/18/2022

Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image Transition

Video frame interpolation (VFI) aims to improve the temporal resolution ...

19 Tao Yang, et al. ∙

research

∙ 03/05/2022

DroidRL: Reinforcement Learning Driven Feature Selection for Android Malware Detection

Due to the completely open-source nature of Android, the exploitable vul...

0 Yinwei Wu, et al. ∙

research

∙ 02/26/2022

Blind Image Super Resolution with Semantic-Aware Quantized Texture Prior

A key challenge of blind image super resolution is to recover realistic ...

6 Chaofeng Chen, et al. ∙

research

∙ 02/22/2022

3D ToF LiDAR in Mobile Robotics: A Review

In the past ten years, the use of 3D Time-of-Flight (ToF) LiDARs in mobi...

0 Tao Yang, et al. ∙

research

∙ 10/27/2021

Anomaly-Injected Deep Support Vector Data Description for Text Outlier Detection

Anomaly detection or outlier detection is a common task in various domai...

20 Zeyu You, et al. ∙

research

∙ 08/29/2021

Multiplex Graph Neural Network for Extractive Text Summarization

Extractive text summarization aims at extracting the most representative...

21 Baoyu Jing, et al. ∙

research

∙ 08/11/2021

ULTRA: An Unbiased Learning To Rank Algorithm Toolbox

Learning to rank systems has become an important aspect of our daily lif...

14 Anh Tran, et al. ∙

research

∙ 06/09/2021

Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints

This paper considers online convex optimization with long term constrain...

0 Xinlei Yi, et al. ∙

research

∙ 06/09/2021

Psycholinguistic Tripartite Graph Network for Personality Detection

Most of the recent work on personality detection from online posts adopt...

0 Tao Yang, et al. ∙

research

∙ 05/13/2021

GAN Prior Embedded Network for Blind Face Restoration in the Wild

Blind face restoration (BFR) from severely degraded face images in the w...

45 Tao Yang, et al. ∙

research

∙ 05/01/2021

Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization

This paper considers the distributed online convex optimization problem ...

7 Xinlei Yi, et al. ∙

research

∙ 04/20/2021

Efficient Online Transfer Learning for 3D Object Classification in Autonomous Driving

Autonomous driving has achieved rapid development over the last few deca...

0 Rui Yang, et al. ∙

research

∙ 03/11/2021

Composite Re-Ranking for Efficient Document Search with BERT

Although considerable efforts have been devoted to transformer-based ran...

0 Yingrui Yang, et al. ∙

research

∙ 03/02/2021

SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network

Resistive Random-Access-Memory (ReRAM) crossbar is a promising technique...

1 Fangxin Liu, et al. ∙

research

∙ 02/21/2021

Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement

Content and style (C-S) disentanglement intends to decompose the underly...

16 Xuanchi Ren, et al. ∙

research

∙ 02/21/2021

Do Generative Models Know Disentanglement? Contrastive Learning is All You Need

Disentangled generative models are typically trained with an extra regul...

6 Xuanchi Ren, et al. ∙

research

∙ 02/20/2021

GroupifyVAE: from Group-based Definition to VAE-based Unsupervised Representation Disentanglement

The key idea of the state-of-the-art VAE-based unsupervised representati...

6 Tao Yang, et al. ∙

research

∙ 02/18/2021

Maximizing Marginal Fairness for Dynamic Learning to Rank

Rankings, especially those in search and recommendation systems, often d...

0 Tao Yang, et al. ∙

research

∙ 02/17/2021

Performance Analysis for Correlated AoI and Energy Efficiency in Heterogeneous CR-IoT System

We consider a cognitive radio based Internet of Things (CR-IoT) system w...

0 Xiaoyu Hao, et al. ∙

research

∙ 01/15/2021

A Risk-Sensitive Task Offloading Strategy for Edge Computing in Industrial Internet of Things

Edge computing has become one of the key enablers for ultra-reliable and...

0 Xiaoyu Hao, et al. ∙

research

∙ 12/31/2020

TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis

This technique report introduces TexSmart, a text understanding system t...

10 Haisong Zhang, et al. ∙

Tao Yang

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