b'Jiawei Chen'

research

∙ 09/21/2023

How Robust is Google's Bard to Adversarial Image Attacks?

Multimodal Large Language Models (MLLMs) that integrate text and other m...

0 Yinpeng Dong, et al. ∙

research

∙ 09/04/2023

Benchmarking Large Language Models in Retrieval-Augmented Generation

Retrieval-Augmented Generation (RAG) is a promising approach for mitigat...

0 Jiawei Chen, et al. ∙

research

∙ 08/13/2023

CDR: Conservative Doubly Robust Learning for Debiased Recommendation

In recommendation systems (RS), user behavior data is observational rath...

0 Zijie Song, et al. ∙

research

∙ 08/10/2023

Homophily-enhanced Structure Learning for Graph Clustering

Graph clustering is a fundamental task in graph analysis, and recent adv...

0 Ming Gu, et al. ∙

research

∙ 08/04/2023

AdvFAS: A robust face anti-spoofing framework against adversarial examples

Ensuring the reliability of face recognition systems against presentatio...

0 Jiawei Chen, et al. ∙

research

∙ 07/25/2023

Text-oriented Modality Reinforcement Network for Multimodal Sentiment Analysis from Unaligned Multimodal Sequences

Multimodal Sentiment Analysis (MSA) aims to mine sentiment information f...

0 Yuxuan Lei, et al. ∙

research

∙ 07/19/2023

Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community

The research field of Information Retrieval (IR) has evolved significant...

0 Qingyao Ai, et al. ∙

research

∙ 06/17/2023

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning

Graph Neural Networks (GNNs) have emerged as the de facto standard for r...

0 Zhiyao Zhou, et al. ∙

research

∙ 05/24/2023

How Graph Convolutions Amplify Popularity Bias for Recommendation?

Graph convolutional networks (GCNs) have become prevalent in recommender...

0 Jiajia Chen, et al. ∙

research

∙ 05/18/2023

Learning In-context Learning for Named Entity Recognition

Named entity recognition in real-world applications suffers from the div...

0 Jiawei Chen, et al. ∙

research

∙ 05/16/2023

Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models

Memory is one of the most essential cognitive functions serving as a rep...

0 Boxi Cao, et al. ∙

research

∙ 05/08/2023

Retriever and Ranker Framework with Probabilistic Hard Negative Sampling for Code Search

Pretrained Language Models (PLMs) have emerged as the state-of-the-art p...

0 Hande Dong, et al. ∙

research

∙ 04/11/2023

Life Regression based Patch Slimming for Vision Transformers

Vision transformers have achieved remarkable success in computer vision ...

0 Jiawei Chen, et al. ∙

research

∙ 02/09/2023

Adap-τ: Adaptively Modulating Embedding Magnitude for Recommendation

Recent years have witnessed the great successes of embedding-based metho...

0 Jiawei Chen, et al. ∙

research

∙ 02/07/2023

FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion

Learning hyperbolic embeddings for knowledge graph (KG) has gained incre...

0 Wentao Shi, et al. ∙

research

∙ 02/07/2023

On the Theories Behind Hard Negative Sampling for Recommendation

Negative sampling has been heavily used to train recommender models on l...

0 Wentao Shi, et al. ∙

research

∙ 12/28/2022

Robust Sequence Networked Submodular Maximization

In this paper, we study the Robust optimization for sequence Networked s...

0 Qihao Shi, et al. ∙

research

∙ 12/15/2022

Hierarchical Codebook Design for Near-Field MmWave MIMO Communications Systems

Communications system with analog or hybrid analog/digital architectures...

0 Jiawei Chen, et al. ∙

research

∙ 11/27/2022

Unbiased Knowledge Distillation for Recommendation

As a promising solution for model compression, knowledge distillation (K...

0 Gang Chen, et al. ∙

research

∙ 06/15/2022

A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions

Clustering is a fundamental machine learning task which has been widely ...

0 Sheng Zhou, et al. ∙

research

∙ 06/08/2022

Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation

Federated learning (FL), an attractive and promising distributed machine...

0 Qian Chen, et al. ∙

research

∙ 05/30/2022

BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis

Binaural audio plays a significant role in constructing immersive augmen...

1 Yichong Leng, et al. ∙

research

∙ 05/09/2022

NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality

Text to speech (TTS) has made rapid progress in both academia and indust...

18 Xu Tan, et al. ∙

research

∙ 05/07/2022

Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance

Domain adaptation on time-series data is often encountered in the indust...

0 Zijian Li, et al. ∙

research

∙ 04/08/2022

Communication-Efficient Cluster Federated Learning in Large-scale Peer-to-Peer Networks

A traditional federated learning (FL) allows clients to collaboratively ...

0 Yilin Zhou, et al. ∙

research

∙ 03/23/2022

Few-shot Named Entity Recognition with Self-describing Networks

Few-shot NER needs to effectively capture information from limited insta...

0 Jiawei Chen, et al. ∙

research

∙ 02/22/2022

KuaiRec: A Fully-observed Dataset for Recommender Systems

Recommender systems are usually developed and evaluated on the historica...

0 Chongming Gao, et al. ∙

research

∙ 02/10/2022

IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search

A good personalized product search (PPS) system should not only focus on...

0 Dian Cheng, et al. ∙

research

∙ 01/07/2022

On the Effectiveness of Sampled Softmax Loss for Item Recommendation

Learning objectives of recommender models remain largely unexplored. Mos...

0 Jiancan Wu, et al. ∙

research

∙ 09/16/2021

Popularity Bias Is Not Always Evil: Disentangling Benign and Harmful Bias for Recommendation

Recommender system usually suffers from severe popularity bias – the col...

0 Zihao Zhao, et al. ∙

research

∙ 09/16/2021

PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription

Automatic lyrics transcription (ALT), which can be regarded as automatic...

0 Chen Zhang, et al. ∙

research

∙ 09/13/2021

Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention

Event detection has long been troubled by the trigger curse: overfitting...

0 Jiawei Chen, et al. ∙

research

∙ 08/22/2021

DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network

Knowledge graph completion (KGC) has become a focus of attention across ...

0 Junkang Wu, et al. ∙

research

∙ 08/20/2021

MM-ViT: Multi-Modal Video Transformer for Compressed Video Action Recognition

This paper presents a pure transformer-based approach, dubbed the Multi-...

1 Jiawei Chen, et al. ∙

research

∙ 08/12/2021

Distilling Holistic Knowledge with Graph Neural Networks

Knowledge Distillation (KD) aims at transferring knowledge from a larger...

0 Sheng Zhou, et al. ∙

research

∙ 08/05/2021

Time-aware Path Reasoning on Knowledge Graph for Recommendation

Reasoning on knowledge graph (KG) has been studied for explainable recom...

0 Yuyue Zhao, et al. ∙

research

∙ 06/30/2021

Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint

Convolutional neural network (CNN) have proven its success for semantic ...

5 Jiawei Chen, et al. ∙

research

∙ 05/28/2021

CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation

To improve user experience and profits of corporations, modern industria...

0 Xu Xie, et al. ∙

research

∙ 05/10/2021

AutoDebias: Learning to Debias for Recommendation

Recommender systems rely on user behavior data like ratings and clicks t...

0 Jiawei Chen, et al. ∙

research

∙ 03/23/2021

A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics

Learning and analyzing rap lyrics is a significant basis for many web ap...

4 Hongru Liang, et al. ∙

research

∙ 02/02/2021

GCF-Net: Gated Clip Fusion Network for Video Action Recognition

In recent years, most of the accuracy gains for video action recognition...

0 Jenhao Hsiao, et al. ∙

research

∙ 12/22/2020

Time Series Domain Adaptation via Sparse Associative Structure Alignment

Domain adaptation on time series data is an important but challenging ta...

0 Ruichu Cai, et al. ∙

research

∙ 11/16/2020

CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation

Sampling strategies have been widely applied in many recommendation syst...

0 Jiawei Chen, et al. ∙

research

∙ 11/16/2020

SamWalker++: recommendation with informative sampling strategy

Recommendation from implicit feedback is a highly challenging task due t...

0 Can Wang, et al. ∙

research

∙ 10/29/2020

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System

The general aim of the recommender system is to provide personalized sug...

0 Tianxin Wei, et al. ∙

research

∙ 10/23/2020

On the Equivalence of Decoupled Graph Convolution Network and Label Propagation

The original design of Graph Convolution Network (GCN) couples feature t...

0 Hande Dong, et al. ∙

research

∙ 10/07/2020

Bias and Debias in Recommender System: A Survey and Future Directions

While recent years have witnessed a rapid growth of research papers on r...

0 Jiawei Chen, et al. ∙

research

∙ 09/03/2020

HiFiSinger: Towards High-Fidelity Neural Singing Voice Synthesis

High-fidelity singing voices usually require higher sampling rate (e.g.,...

0 Jiawei Chen, et al. ∙

research

∙ 08/03/2020

Residual Frames with Efficient Pseudo-3D CNN for Human Action Recognition

Human action recognition is regarded as a key cornerstone in domains suc...

0 Jiawei Chen, et al. ∙

research

∙ 07/22/2020

Instance-aware Self-supervised Learning for Nuclei Segmentation

Due to the wide existence and large morphological variances of nuclei, a...

0 Xinpeng Xie, et al. ∙

Jiawei Chen

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