b'Liang Chen'

research

∙ 09/14/2023

MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning

Starting from the resurgence of deep learning, vision-language models (V...

0 Haozhe Zhao, et al. ∙

research

∙ 09/05/2023

Making Large Language Models Better Reasoners with Alignment

Reasoning is a cognitive process of using evidence to reach a sound conc...

0 Peiyi Wang, et al. ∙

research

∙ 08/22/2023

Domain Generalization via Rationale Invariance

This paper offers a new perspective to ease the challenge of domain gene...

0 Liang Chen, et al. ∙

research

∙ 08/13/2023

SAILOR: Structural Augmentation Based Tail Node Representation Learning

Graph Neural Networks (GNNs) have achieved state-of-the-art performance ...

0 Jie Liao, et al. ∙

research

∙ 08/10/2023

Deep Richardson-Lucy Deconvolution for Low-Light Image Deblurring

Images taken under the low-light condition often contain blur and satura...

0 Liang Chen, et al. ∙

research

∙ 06/07/2023

M^3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Instruction tuning has significantly advanced large language models (LLM...

0 Lei Li, et al. ∙

research

∙ 06/03/2023

Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning

Oversmoothing is a common phenomenon in graph neural networks (GNNs), in...

0 Jintang Li, et al. ∙

research

∙ 05/30/2023

A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks

While contrastive self-supervised learning has become the de-facto learn...

0 Jintang Li, et al. ∙

research

∙ 05/29/2023

Large Language Models are not Fair Evaluators

We uncover a systematic bias in the evaluation paradigm of adopting larg...

0 Peiyi Wang, et al. ∙

research

∙ 05/26/2023

Attention Paper: How Generative AI Reshapes Digital Shadow Industry?

The rapid development of digital economy has led to the emergence of var...

0 Qichao Wang, et al. ∙

research

∙ 05/25/2023

TransWorldNG: Traffic Simulation via Foundation Model

Traffic simulation is a crucial tool for transportation decision-making ...

0 Ding Wang, et al. ∙

research

∙ 05/24/2023

Building Transportation Foundation Model via Generative Graph Transformer

Efficient traffic management is crucial for maintaining urban mobility, ...

0 Xuhong Wang, et al. ∙

research

∙ 05/23/2023

On the robust learning mixtures of linear regressions

In this note, we consider the problem of robust learning mixtures of lin...

0 Ying Huang, et al. ∙

research

∙ 05/23/2023

SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs

Anomaly detection aims to distinguish abnormal instances that deviate si...

0 Sheng Tian, et al. ∙

research

∙ 05/22/2023

Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization

Generating persona consistent dialogue response is important for develop...

0 Liang Chen, et al. ∙

research

∙ 05/18/2023

On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation

While multilingual neural machine translation has achieved great success...

0 Liang Chen, et al. ∙

research

∙ 05/18/2023

Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs

The prevalence of large-scale graphs poses great challenges in time and ...

0 Jintang Li, et al. ∙

research

∙ 04/25/2023

Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing

Multi-task learning for various real-world applications usually involves...

0 Yunpeng Weng, et al. ∙

research

∙ 04/24/2023

Efficient Halftoning via Deep Reinforcement Learning

Halftoning aims to reproduce a continuous-tone image with pixels whose i...

0 Haitian Jiang, et al. ∙

research

∙ 04/13/2023

Cross-View Hierarchy Network for Stereo Image Super-Resolution

Stereo image super-resolution aims to improve the quality of high-resolu...

0 Wenbin Zou, et al. ∙

research

∙ 04/12/2023

Stochastic Domain Decomposition Based on Variable-Separation Method

Uncertainty propagation across different domains is of fundamental impor...

0 Liang Chen, et al. ∙

research

∙ 04/10/2023

Improved Test-Time Adaptation for Domain Generalization

The main challenge in domain generalization (DG) is to handle the distri...

0 Liang Chen, et al. ∙

research

∙ 04/06/2023

On the Pareto Front of Multilingual Neural Machine Translation

In this work, we study how the generalization performance of a given dir...

0 Liang Chen, et al. ∙

research

∙ 04/06/2023

Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures

Federated Recommender Systems (FedRecs) are considered privacy-preservin...

0 Wei Yuan, et al. ∙

research

∙ 02/07/2023

Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation

Research on debiased recommendation has shown promising results. However...

0 Dugang Liu, et al. ∙

research

∙ 01/26/2023

Optimizing Feature Set for Click-Through Rate Prediction

Click-through prediction (CTR) models transform features into latent vec...

0 Fuyuan Lyu, et al. ∙

research

∙ 01/11/2023

CARD: Semantic Segmentation with Efficient Class-Aware Regularized Decoder

Semantic segmentation has recently achieved notable advances by exploiti...

0 Ye Huang, et al. ∙

research

∙ 12/23/2022

A Cut-and-solve Algorithm for Virtual Machine Consolidation Problem

The virtual machine consolidation problem (VMCP) attempts to determine w...

0 Jiang-Yao Luo, et al. ∙

research

∙ 11/20/2022

Spectral Adversarial Training for Robust Graph Neural Network

Recent studies demonstrate that Graph Neural Networks (GNNs) are vulnera...

0 Jintang Li, et al. ∙

research

∙ 11/09/2022

Are All Edges Necessary? A Unified Framework for Graph Purification

Graph Neural Networks (GNNs) as deep learning models working on graph-st...

0 Zishan Gu, et al. ∙

research

∙ 10/20/2022

Large-batch Optimization for Dense Visual Predictions

Training a large-scale deep neural network in a large-scale dataset is c...

0 Zeyue Xue, et al. ∙

research

∙ 10/06/2022

A Coupled Hybridizable Discontinuous Galerkin and Boundary Integral Method for Analyzing Electromagnetic Scattering

A coupled hybridizable discontinuous Galerkin (HDG) and boundary integra...

0 Ran Zhao, et al. ∙

research

∙ 09/29/2022

A Two-Stage Method for Chinese AMR Parsing

In this paper, we provide a detailed description of our system at CAMRP-...

0 Liang Chen, et al. ∙

research

∙ 08/15/2022

Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

Recent years have seen a surge in research on dynamic graph representati...

0 Jintang Li, et al. ∙

research

∙ 05/20/2022

MaskGAE: Masked Graph Modeling Meets Graph Autoencoders

We present masked graph autoencoder (MaskGAE), a self-supervised learnin...

0 Jintang Li, et al. ∙

research

∙ 05/20/2022

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection

Deep graph learning has achieved remarkable progresses in both business ...

0 Bingzhe Wu, et al. ∙

research

∙ 05/05/2022

Spiking Graph Convolutional Networks

Graph Convolutional Networks (GCNs) achieve an impressive performance du...

0 Zulun Zhu, et al. ∙

research

∙ 05/03/2022

A Survey of Deep Learning Models for Structural Code Understanding

In recent years, the rise of deep learning and automation requirements i...

0 Ruoting Wu, et al. ∙

research

∙ 05/02/2022

FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation

Graph contrastive learning (GCL), as a popular approach to graph self-su...

0 Yuansheng Wang, et al. ∙

research

∙ 04/20/2022

GUARD: Graph Universal Adversarial Defense

Recently, graph convolutional networks (GCNs) have shown to be vulnerabl...

0 Jintang Li, et al. ∙

research

∙ 04/19/2022

Self-Calibrated Efficient Transformer for Lightweight Super-Resolution

Recently, deep learning has been successfully applied to the single-imag...

0 Wenbin Zou, et al. ∙

research

∙ 04/19/2022

ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs

As Abstract Meaning Representation (AMR) implicitly involves compound se...

0 Liang Chen, et al. ∙

research

∙ 03/23/2022

Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection

Recent studies in deepfake detection have yielded promising results when...

0 Liang Chen, et al. ∙

research

∙ 03/14/2022

CAR: Class-aware Regularizations for Semantic Segmentation

Recent segmentation methods, such as OCR and CPNet, utilizing "class lev...

18 Ye Huang, et al. ∙

research

∙ 03/06/2022

Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation

Label smoothing and vocabulary sharing are two widely used techniques in...

0 Liang Chen, et al. ∙

research

∙ 02/25/2022

Faithful learning with sure data for lung nodule diagnosis

Recent evolution in deep learning has proven its value for CT-based lung...

9 Hanxiao Zhang, et al. ∙

research

∙ 02/17/2022

Enhanced DeepONet for Modeling Partial Differential Operators Considering Multiple Input Functions

Machine learning, especially deep learning is gaining much attention due...

5 Lesley Tan, et al. ∙

research

∙ 02/15/2022

Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift

Deep graph learning (DGL) has achieved remarkable progress in both busin...

0 Bingzhe Wu, et al. ∙

research

∙ 11/18/2021

Perceiving and Modeling Density is All You Need for Image Dehazing

In the real world, the degradation of images taken under haze can be qui...

7 Tian Ye, et al. ∙

research

∙ 10/15/2021

Hierarchical Curriculum Learning for AMR Parsing

Abstract Meaning Representation (AMR) parsing translates sentences to th...

0 Peiyi Wang, et al. ∙

Liang Chen

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