b'Bin Liu'

research

∙ 09/21/2023

Emotion-Aware Prosodic Phrasing for Expressive Text-to-Speech

Prosodic phrasing is crucial to the naturalness and intelligibility of e...

0 Rui Liu, et al. ∙

research

∙ 09/05/2023

An Efficient Approach to Unsupervised Out-of-Distribution Detection with Variational Autoencoders

This paper is concerned with deep generative models (DGMs) for unsupervi...

0 Zezhen Zeng, et al. ∙

research

∙ 08/24/2023

Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records

Survival analysis plays a crucial role in many healthcare decisions, whe...

0 Mohsen Nayebi Kerdabadi, et al. ∙

research

∙ 08/14/2023

Data Generation-based Operator Learning for Solving Partial Differential Equations on Unbounded Domains

Wave propagation problems are typically formulated as partial differenti...

0 Jihong Wang, et al. ∙

research

∙ 08/13/2023

Video Captioning with Aggregated Features Based on Dual Graphs and Gated Fusion

The application of video captioning models aims at translating the conte...

0 Yutao Jin, et al. ∙

research

∙ 07/29/2023

Debiased Pairwise Learning from Positive-Unlabeled Implicit Feedback

Learning contrastive representations from pairwise comparisons has achie...

0 Bin Liu, et al. ∙

research

∙ 07/21/2023

ClickINC: In-network Computing as a Service in Heterogeneous Programmable Data-center Networks

In-Network Computing (INC) has found many applications for performance b...

0 Wenquan Xu, et al. ∙

research

∙ 07/07/2023

Unveiling the Potential of Knowledge-Prompted ChatGPT for Enhancing Drug Trafficking Detection on Social Media

Social media platforms such as Instagram and Twitter have emerged as cri...

0 Chuanbo Hu, et al. ∙

research

∙ 07/05/2023

MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition

Dynamic facial expression recognition (DFER) is essential to the develop...

0 Licai Sun, et al. ∙

research

∙ 06/27/2023

Explainable Multimodal Emotion Reasoning

Multimodal emotion recognition is an active research topic in artificial...

0 Zheng Lian, et al. ∙

research

∙ 06/19/2023

MotionGPT: Finetuned LLMs are General-Purpose Motion Generators

Generating realistic human motion from given action descriptions has exp...

0 Yaqi Zhang, et al. ∙

research

∙ 06/16/2023

EVOPOSE: A Recursive Transformer For 3D Human Pose Estimation With Kinematic Structure Priors

Transformer is popular in recent 3D human pose estimation, which utilize...

0 Yaqi Zhang, et al. ∙

research

∙ 06/11/2023

Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework

With rich visual data, such as images, becoming readily associated with ...

0 Minglei Yin, et al. ∙

research

∙ 06/09/2023

A Boosted Model Ensembling Approach to Ball Action Spotting in Videos: The Runner-Up Solution to CVPR'23 SoccerNet Challenge

This technical report presents our solution to Ball Action Spotting in v...

0 Luping Wang, et al. ∙

research

∙ 06/06/2023

Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach

Large language models (LLMs) encode a vast amount of world knowledge acq...

0 Bin Hu, et al. ∙

research

∙ 06/02/2023

Reducing Popularity Bias in Recommender Systems through AUC-Optimal Negative Sampling

Popularity bias is a persistent issue associated with recommendation sys...

0 Bin Liu, et al. ∙

research

∙ 05/18/2023

Multi-spectral Class Center Network for Face Manipulation Detection and Localization

As Deepfake contents continue to proliferate on the internet, advancing ...

0 Changtao Miao, et al. ∙

research

∙ 05/10/2023

Clothes-Invariant Feature Learning by Causal Intervention for Clothes-Changing Person Re-identification

Clothes-invariant feature extraction is critical to the clothes-changing...

0 Xulin Li, et al. ∙

research

∙ 05/09/2023

Restormer-Plus for Real World Image Deraining: One State-of-the-Art Solution to the GT-RAIN Challenge (CVPR 2023 UG^2+ Track 3)

This technical report presents our Restormer-Plus approach, which was su...

0 Chaochao Zheng, et al. ∙

research

∙ 04/18/2023

MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning

Over the past few decades, multimodal emotion recognition has made remar...

0 Zheng Lian, et al. ∙

research

∙ 04/10/2023

Use the Detection Transformer as a Data Augmenter

Detection Transformer (DETR) is a Transformer architecture based object ...

0 Luping Wang, et al. ∙

research

∙ 04/01/2023

On Context Distribution Shift in Task Representation Learning for Offline Meta RL

Offline meta reinforcement learning (OMRL) aims to learn transferrable k...

0 Chenyang Zhao, et al. ∙

research

∙ 03/29/2023

Futures Quantitative Investment with Heterogeneous Continual Graph Neural Network

It is a challenging problem to predict trends of futures prices with tra...

0 Zhizhong Tan, et al. ∙

research

∙ 03/16/2023

Commonsense Knowledge Assisted Deep Learning for Resource-constrained and Fine-grained Object Detection

In this paper, we consider fine-grained image object detection in resour...

0 Pu Zhang, et al. ∙

research

∙ 03/07/2023

Toward NeuroDM: Where Computational Neuroscience Meets Data Mining

At the intersection of computational neuroscience (CN) and data mining (...

0 Xin Li, et al. ∙

research

∙ 02/24/2023

Pose-Controllable 3D Facial Animation Synthesis using Hierarchical Audio-Vertex Attention

Most of the existing audio-driven 3D facial animation methods suffered f...

0 Bin Liu, et al. ∙

research

∙ 02/11/2023

3D Colored Shape Reconstruction from a Single RGB Image through Diffusion

We propose a novel 3d colored shape reconstruction method from a single ...

0 Bo Li, et al. ∙

research

∙ 02/03/2023

A Reduction-based Framework for Sequential Decision Making with Delayed Feedback

We study stochastic delayed feedback in general multi-agent sequential d...

0 Yunchang Yang, et al. ∙

research

∙ 01/28/2023

DALI: Dynamically Adjusted Label Importance for Noisy Partial Label Learning

Noisy partial label learning (noisy PLL) is an important branch of weakl...

0 Mingyu Xu, et al. ∙

research

∙ 01/27/2023

Bayesian Self-Supervised Contrastive Learning

Recent years have witnessed many successful applications of contrastive ...

0 Bin Liu, et al. ∙

research

∙ 12/11/2022

Personalized local heating neutralizing individual, spatial and temporal thermo-physiological variances in extreme cold environments

In this paper, we investigate the feasibility, robustness and optimizati...

0 Yi Ju, et al. ∙

research

∙ 12/01/2022

Fine-Grained Selective Similarity Integration for Drug-Target Interaction Prediction

The discovery of drug-target interactions (DTIs) is a pivotal process in...

0 Bin Liu, et al. ∙

research

∙ 11/09/2022

ARNet: Automatic Refinement Network for Noisy Partial Label Learning

Partial label learning (PLL) is a typical weakly supervised learning, wh...

0 Zheng Lian, et al. ∙

research

∙ 10/09/2022

SML:Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction

In light of the smoothness property brought by skip connections in ResNe...

0 Wenlong Deng, et al. ∙

research

∙ 08/24/2022

Q-Net: Query-Informed Few-Shot Medical Image Segmentation

Deep learning has achieved tremendous success in computer vision, while ...

0 Qianqian Shen, et al. ∙

research

∙ 08/16/2022

Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis

With the proliferation of user-generated online videos, Multimodal Senti...

0 Licai Sun, et al. ∙

research

∙ 08/01/2022

Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification

Graph-based models have achieved great success in person re-identificati...

0 Xulin Li, et al. ∙

research

∙ 07/31/2022

Intelligent decision-making method of TBM operating parameters based on multiple constraints and objective optimization

The decision-making of TBM operating parameters has an important guiding...

7 Bin Liu, et al. ∙

research

∙ 07/23/2022

Change Point Detection for High-dimensional Linear Models: A General Tail-adaptive Approach

We study the change point detection problem for high-dimensional linear ...

0 Bin Liu, et al. ∙

research

∙ 07/23/2022

Two-Aspect Information Fusion Model For ABAW4 Multi-task Challenge

In this paper, we propose the solution to the Multi-Task Learning (MTL) ...

0 Haiyang Sun, et al. ∙

research

∙ 07/14/2022

A DNS Tunnel Sliding Window Differential Detection Method Based on Normal Distribution Reasonable Range Filtering

A covert attack method often used by APT organizations is the DNS tunnel...

0 Xin Ma, et al. ∙

research

∙ 07/08/2022

Towards Intrinsic Common Discriminative Features Learning for Face Forgery Detection using Adversarial Learning

Existing face forgery detection methods usually treat face forgery detec...

0 Wanyi Zhuang, et al. ∙

research

∙ 06/29/2022

Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member Models

Training an ensemble of different sub-models has empirically proven to b...

0 Lele Wang, et al. ∙

research

∙ 05/30/2022

Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning

To break the bottlenecks of mainstream cloud-based machine learning (ML)...

0 Chengfei Lv, et al. ∙

research

∙ 05/20/2022

Emergence of Double-slit Interference by Representing Visual Space in Artificial Neural Networks

Artificial neural networks have realized incredible successes at image r...

0 Xiuxiu Bai, et al. ∙

research

∙ 05/16/2022

VQBB: Image-to-image Translation with Vector Quantized Brownian Bridge

Image-to-image translation is an important and challenging problem in co...

0 Bo Li, et al. ∙

research

∙ 04/05/2022

Real-time Online Multi-Object Tracking in Compressed Domain

Recent online Multi-Object Tracking (MOT) methods have achieved desirabl...

0 Qiankun Liu, et al. ∙

research

∙ 04/02/2022

Negative Sampling for Recommendation

How to effectively sample high-quality negative instances is important f...

0 Bin Liu, et al. ∙

research

∙ 04/01/2022

i-Razor: A Neural Input Razor for Feature Selection and Dimension Search in Large-Scale Recommender Systems

Input features play a crucial role in the predictive performance of DNN-...

0 Yao Yao, et al. ∙

research

∙ 03/25/2022

EmotionNAS: Two-stream Architecture Search for Speech Emotion Recognition

Speech emotion recognition (SER) is a crucial research topic in human-co...

3 Haiyang Sun, et al. ∙

Bin Liu

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