b'Dongsheng Li'

research

∙ 08/19/2023

RAH! RecSys-Assistant-Human: A Human-Central Recommendation Framework with Large Language Models

The recommendation ecosystem involves interactions between recommender s...

0 Yubo Shu, et al. ∙

research

∙ 08/18/2023

Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent

Stochastic gradient descent (SGD) performed in an asynchronous manner pl...

0 Xiaoge Deng, et al. ∙

research

∙ 08/14/2023

AutoSeqRec: Autoencoder for Efficient Sequential Recommendation

Sequential recommendation demonstrates the capability to recommend items...

0 Sijia Liu, et al. ∙

research

∙ 08/04/2023

Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification

Text classification is a fundamental task for natural language processin...

0 Menglong Lu, et al. ∙

research

∙ 07/29/2023

Recommendation Unlearning via Matrix Correction

Recommender systems are important for providing personalized services to...

0 Jiahao Liu, et al. ∙

research

∙ 07/27/2023

Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals

Seeing is believing, however, the underlying mechanism of how human visu...

0 Yu-Ting Lan, et al. ∙

research

∙ 07/02/2023

Is Risk-Sensitive Reinforcement Learning Properly Resolved?

Due to the nature of risk management in learning applicable policies, ri...

0 Ruiwen Zhou, et al. ∙

research

∙ 06/14/2023

Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization

Large Language Models (LLMs) are gaining increasing attention due to the...

0 Zhigang Kan, et al. ∙

research

∙ 06/05/2023

End-to-End Word-Level Pronunciation Assessment with MASK Pre-training

Pronunciation assessment is a major challenge in the computer-aided pron...

0 Yukang Liang, et al. ∙

research

∙ 05/26/2023

XGrad: Boosting Gradient-Based Optimizers With Weight Prediction

In this paper, we propose a general deep learning training framework XGr...

0 Lei Guan, et al. ∙

research

∙ 05/25/2023

Automated Tensor Model Parallelism with Overlapped Communication for Efficient Foundation Model Training

Deep learning is experiencing a rise in foundation models that are expec...

0 Shengwei Li, et al. ∙

research

∙ 05/23/2023

Simulating News Recommendation Ecosystem for Fun and Profit

Understanding the evolution of online news communities is essential for ...

0 Guangping Zhang, et al. ∙

research

∙ 05/22/2023

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks

Text classification tasks often encounter few shot scenarios with limite...

0 Haoqi Zheng, et al. ∙

research

∙ 05/22/2023

DiffusionNER: Boundary Diffusion for Named Entity Recognition

In this paper, we propose DiffusionNER, which formulates the named entit...

0 Yongliang Shen, et al. ∙

research

∙ 04/23/2023

Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation

In dynamic interaction graphs, user-item interactions usually follow het...

7 Jiahao Liu, et al. ∙

research

∙ 04/11/2023

Habits and goals in synergy: a variational Bayesian framework for behavior

How to behave efficiently and flexibly is a central problem for understa...

0 Dongqi Han, et al. ∙

research

∙ 04/11/2023

Biological Factor Regulatory Neural Network

Genes are fundamental for analyzing biological systems and many recent w...

1 Xinnan Dai, et al. ∙

research

∙ 03/30/2023

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace

Solving complicated AI tasks with different domains and modalities is a ...

0 Yongliang Shen, et al. ∙

research

∙ 03/14/2023

Rotation-Invariant Transformer for Point Cloud Matching

The intrinsic rotation invariance lies at the core of matching point clo...

0 Hao Yu, et al. ∙

research

∙ 03/14/2023

A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition

As a common way of emotion signaling via non-linguistic vocalizations, v...

0 Jinchao Li, et al. ∙

research

∙ 03/14/2023

Leveraging Pretrained Representations with Task-related Keywords for Alzheimer's Disease Detection

With the global population aging rapidly, Alzheimer's disease (AD) is pa...

0 Jinchao Li, et al. ∙

research

∙ 03/14/2023

Adaptive Policy Learning for Offline-to-Online Reinforcement Learning

Conventional reinforcement learning (RL) needs an environment to collect...

0 Han Zheng, et al. ∙

research

∙ 02/27/2023

Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism

Monitoring and analyzing stereotypical behaviours is important for early...

0 Jiaqi Gao, et al. ∙

research

∙ 02/04/2023

Personalized Graph Signal Processing for Collaborative Filtering

The collaborative filtering (CF) problem with only user-item interaction...

0 Jiahao Liu, et al. ∙

research

∙ 01/29/2023

Towards Inference Efficient Deep Ensemble Learning

Ensemble methods can deliver surprising performance gains but also bring...

0 Ziyue Li, et al. ∙

research

∙ 01/24/2023

Progressive Meta-Pooling Learning for Lightweight Image Classification Model

Practical networks for edge devices adopt shallow depth and small convol...

0 Peijie Dong, et al. ∙

research

∙ 01/24/2023

RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking Distillation from Zero-cost Proxies

Neural architecture search (NAS) has made tremendous progress in the aut...

0 Peijie Dong, et al. ∙

research

∙ 01/11/2023

TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks

TAPS is a Topology-Aware intra-operator Parallelism strategy Searching a...

0 Peng Liang, et al. ∙

research

∙ 12/28/2022

OVO: One-shot Vision Transformer Search with Online distillation

Pure transformers have shown great potential for vision tasks recently. ...

0 Zimian Wei, et al. ∙

research

∙ 12/08/2022

Learning Domain Invariant Prompt for Vision-Language Models

Prompt learning is one of the most effective and trending ways to adapt ...

0 Cairong Zhao, et al. ∙

research

∙ 12/07/2022

SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems

Novel artificial intelligence (AI) technology has expedited various scie...

0 Jiangsu Du, et al. ∙

research

∙ 12/01/2022

CL4CTR: A Contrastive Learning Framework for CTR Prediction

Many Click-Through Rate (CTR) prediction works focused on designing adva...

0 Fangye Wang, et al. ∙

research

∙ 11/29/2022

Similarity Distribution based Membership Inference Attack on Person Re-identification

While person Re-identification (Re-ID) has progressed rapidly due to its...

0 Junyao Gao, et al. ∙

research

∙ 11/20/2022

Invisible Backdoor Attack with Dynamic Triggers against Person Re-identification

In recent years, person Re-identification (ReID) has rapidly progressed ...

0 Wenli Sun, et al. ∙

research

∙ 11/14/2022

Towards Understanding Omission in Dialogue Summarization

Dialogue summarization aims to condense the lengthy dialogue into a conc...

0 Yicheng Zou, et al. ∙

research

∙ 10/15/2022

Parameter-free Dynamic Graph Embedding for Link Prediction

Dynamic interaction graphs have been widely adopted to model the evoluti...

0 Jiahao Liu, et al. ∙

research

∙ 10/12/2022

Reinforcement Learning with Automated Auxiliary Loss Search

A good state representation is crucial to solving complicated reinforcem...

0 Tairan He, et al. ∙

research

∙ 09/23/2022

A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks

Prompt learning is an effective paradigm that bridges gaps between the p...

0 Zhigang Kan, et al. ∙

research

∙ 09/16/2022

ConvFormer: Closing the Gap Between CNN and Vision Transformers

Vision transformers have shown excellent performance in computer vision ...

0 Zimian Wei, et al. ∙

research

∙ 07/15/2022

Towards Privacy-Preserving Person Re-identification via Person Identify Shift

Recently privacy concerns of person re-identification (ReID) raise more ...

0 Shuguang Dou, et al. ∙

research

∙ 06/26/2022

Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One

Autoregressive generative models are commonly used, especially for those...

56 Yezhen Wang, et al. ∙

research

∙ 06/21/2022

RendNet: Unified 2D/3D Recognizer With Latent Space Rendering

Vector graphics (VG) have been ubiquitous in our daily life with vast ap...

0 Ruoxi Shi, et al. ∙

research

∙ 06/17/2022

Bootstrapped Transformer for Offline Reinforcement Learning

Offline reinforcement learning (RL) aims at learning policies from previ...

0 Kerong Wang, et al. ∙

research

∙ 06/10/2022

Merak: An Efficient Distributed DNN Training Framework with Automated 3D Parallelism for Giant Foundation Models

Foundation models are becoming the dominant deep learning technologies. ...

0 Zhiquan Lai, et al. ∙

research

∙ 05/25/2022

Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling

Sentence scoring aims at measuring the likelihood score of a sentence an...

0 Kaitao Song, et al. ∙

research

∙ 04/19/2022

Enhancing CTR Prediction with Context-Aware Feature Representation Learning

CTR prediction has been widely used in the real world. Many methods mode...

0 Fangye Wang, et al. ∙

research

∙ 04/14/2022

Learning Convolutional Neural Networks in the Frequency Domain

Convolutional neural network (CNN) has achieved impressive success in co...

0 Hengyue Pan, et al. ∙

research

∙ 04/02/2022

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation

Capturing the dynamics in user preference is crucial to better predict u...

5 Chao Chen, et al. ∙

research

∙ 03/30/2022

CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis

In large-scale online services, crucial metrics, a.k.a., key performance...

0 Shifu Yan, et al. ∙

research

∙ 03/30/2022

DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation

The further development of deep neural networks is hampered by the limit...

0 Yu Tang, et al. ∙

Dongsheng Li

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