b'Lei Chen'

research

∙ 07/01/2022

Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution

Dynamic graphs refer to graphs whose structure dynamically changes over ...

Yu Yang, et al. ∙

research

∙ 06/24/2022

PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction

Proteins are essential component of human life and their structures are ...

Sirui Liu, et al. ∙

research

∙ 06/08/2022

On Gradient Descent Convergence beyond the Edge of Stability

Gradient Descent (GD) is a powerful workhorse of modern machine learning...

Lei Chen, et al. ∙

research

∙ 05/26/2022

SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation

Data-driven approaches for medium-range weather forecasting are recently...

Yuan Hu, et al. ∙

research

∙ 05/22/2022

Recent Advances in Rate Control: From Optimization to Implementation and Beyond

Video coding is a video compression technique that compresses the origin...

Xuekai Wei, et al. ∙

research

∙ 05/17/2022

MATrIX – Modality-Aware Transformer for Information eXtraction

We present MATrIX - a Modality-Aware Transformer for Information eXtract...

Thomas Delteil, et al. ∙

research

∙ 04/29/2022

SideRT: A Real-time Pure Transformer Architecture for Single Image Depth Estimation

Since context modeling is critical for estimating depth from a single im...

Chang Shu, et al. ∙

research

∙ 04/26/2022

Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering

Recent years have witnessed the great accuracy performance of graph-base...

Minghao Zhao, et al. ∙

research

∙ 04/24/2022

Impact of Change Granularity in Refactoring Detection

Detecting refactorings in commit history is essential to improve the com...

Lei Chen, et al. ∙

research

∙ 03/30/2022

An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs

Random walk is widely used in many graph analysis tasks, especially the ...

Hongzheng Li, et al. ∙

research

∙ 03/26/2022

Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos

Action recognition models have shown a promising capability to classify ...

Muheng Li, et al. ∙

research

∙ 03/25/2022

Efficient k-clique Listing with Set Intersection Speedup [Technical Report]

Listing all k-cliques is a fundamental problem in graph mining, with app...

Zhirong Yuan, et al. ∙

research

∙ 02/28/2022

KMIR: A Benchmark for Evaluating Knowledge Memorization, Identification and Reasoning Abilities of Language Models

Previous works show the great potential of pre-trained language models (...

Daniel Gao, et al. ∙

research

∙ 02/25/2022

A Data-Driven Column Generation Algorithm For Bin Packing Problem in Manufacturing Industry

The bin packing problem exists widely in real logistic scenarios (e.g., ...

Jiahui Duan, et al. ∙

research

∙ 01/20/2022

Cost-Effective Algorithms for Average-Case Interactive Graph Search

Interactive graph search (IGS) uses human intelligence to locate the tar...

Qianhao Cong, et al. ∙

research

∙ 01/10/2022

GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models [Technical Report]

With the development of traffic prediction technology, spatiotemporal pr...

Jiabao Jin, et al. ∙

research

∙ 12/14/2021

An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering

Graph neural networks (GNNs) have been widely applied in the recommendat...

Yiqi Wang, et al. ∙

research

∙ 12/02/2021

AutoGEL: An Automated Graph Neural Network with Explicit Link Information

Recently, Graph Neural Networks (GNNs) have gained popularity in a varie...

Zhili Wang, et al. ∙

research

∙ 10/27/2021

MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data

Time series forecasting is widely used in business intelligence, e.g., f...

Zhibo Zhu, et al. ∙

research

∙ 10/14/2021

Towards More Effective and Economic Sparsely-Activated Model

The sparsely-activated models have achieved great success in natural lan...

Hao Jiang, et al. ∙

research

∙ 10/12/2021

Memory-Efficient CNN Accelerator Based on Interlayer Feature Map Compression

Existing deep convolutional neural networks (CNNs) generate massive inte...

Zhuang Shao, et al. ∙

research

∙ 10/08/2021

Effect of Visual Cues on Pointing Tasks in Co-located Augmented Reality Collaboration

Visual cues are essential in computer-mediated communication. It is espe...

Lei Chen, et al. ∙

research

∙ 08/24/2021

Outdoor Position Recovery from HeterogeneousTelco Cellular Data

Recent years have witnessed unprecedented amounts of data generated by t...

Yige Zhang, et al. ∙

research

∙ 08/20/2021

Privacy-Preserving Batch-based Task Assignment in Spatial Crowdsourcing with Untrusted Server

In this paper, we study the privacy-preserving task assignment in spatia...

Maocheng Li, et al. ∙

research

∙ 08/19/2021

Fine-Grained Element Identification in Complaint Text of Internet Fraud

Existing system dealing with online complaint provides a final decision ...

Tong Liu, et al. ∙

research

∙ 07/27/2021

Resisting Out-of-Distribution Data Problem in Perturbation of XAI

With the rapid development of eXplainable Artificial Intelligence (XAI),...

Luyu Qiu, et al. ∙

research

∙ 07/19/2021

A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing [technical report]

With the rapid development of smart mobile devices, the car-hailing plat...

Peng Cheng, et al. ∙

research

∙ 07/15/2021

Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search

Sequential recommender systems (SRS) have become a research hotspot due ...

Lei Chen, et al. ∙

research

∙ 07/10/2021

Variational Information Bottleneck for Effective Low-resource Audio Classification

Large-scale deep neural networks (DNNs) such as convolutional neural net...

Shijing Si, et al. ∙

research

∙ 06/15/2021

User-specific Adaptive Fine-tuning for Cross-domain Recommendations

Making accurate recommendations for cold-start users has been a longstan...

Lei Chen, et al. ∙

research

∙ 06/14/2021

Learning-Aided Heuristics Design for Storage System

Computer systems such as storage systems normally require transparent wh...

Yingtian Tang, et al. ∙

research

∙ 05/16/2021

MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions

Spatio-temporal action detection is an important and challenging problem...

Yixuan Li, et al. ∙

research

∙ 05/16/2021

Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation

As users often express their preferences with binary behavior data (impl...

Lei Chen, et al. ∙

research

∙ 04/24/2021

Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation

Humans accumulate knowledge in a lifelong fashion. Modern deep neural ne...

Mengyao Zhai, et al. ∙

research

∙ 04/24/2021

Adaptive Appearance Rendering

We propose an approach to generate images of people given a desired appe...

Mengyao Zhai, et al. ∙

research

∙ 04/22/2021

Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding

The scoring function, which measures the plausibility of triplets in kno...

Shimin Di, et al. ∙

research

∙ 04/21/2021

Searching to Sparsify Tensor Decomposition for N-ary Relational Data

Tensor, an extension of the vector and matrix to the multi-dimensional c...

Shimin Di, et al. ∙

research

∙ 03/08/2021

ZYELL-NCTU NetTraffic-1.0: A Large-Scale Dataset for Real-World Network Anomaly Detection

Network security has been an active research topic for long. One critica...

Lei Chen, et al. ∙

research

∙ 02/18/2021

Learning Fair Representations for Bipartite Graph based Recommendation

As a key application of artificial intelligence, recommender systems are...

Le Wu, et al. ∙

research

∙ 12/31/2020

Quantitative Evaluations on Saliency Methods: An Experimental Study

It has been long debated that eXplainable AI (XAI) is an important topic...

Xiao-Hui Li, et al. ∙

research

∙ 12/19/2020

yNet: a multi-input convolutional network for ultra-fast simulation of field evolvement

The capability of multi-input field-to-field regression, i.e. mapping th...

Zhuo Wang, et al. ∙

research

∙ 10/29/2020

Scalable Federated Learning over Passive Optical Networks

Two-step aggregation is introduced to facilitate scalable federated lear...

Jun Li, et al. ∙

research

∙ 10/28/2020

On Graph Neural Networks versus Graph-Augmented MLPs

From the perspective of expressive power, this work compares multi-layer...

Lei Chen, et al. ∙

research

∙ 10/24/2020

Efficient, Simple and Automated Negative Sampling for Knowledge Graph Embedding

Negative sampling, which samples negative triplets from non-observed one...

Yongqi Zhang, et al. ∙

research

∙ 10/10/2020

UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling

Network representation learning (NRL) technique has been successfully ad...

Xingyu Yao, et al. ∙

research

∙ 10/07/2020

Improving Sequential Latent Variable Models with Autoregressive Flows

We propose an approach for improving sequence modeling based on autoregr...

Joseph Marino, et al. ∙

research

∙ 09/10/2020

Semi-Anchored Detector for One-Stage Object Detection

A standard one-stage detector is comprised of two tasks: classification ...

Lei Chen, et al. ∙

research

∙ 08/16/2020

SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning

Although significant progress achieved, multi-label classification is st...

Junbing Li, et al. ∙

research

∙ 05/24/2020

Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation

With the increasing availability of videos, how to edit them and present...

Le Wu, et al. ∙

research

∙ 05/18/2020

Niose-Sampling Cross Entropy Loss: Improving Disparity Regression Via Cost Volume Aware Regularizer

Recent end-to-end deep neural networks for disparity regression have ach...

Yang Chen, et al. ∙

Lei Chen

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