b'Fei Wu'

research

∙ 09/21/2023

A Chinese Prompt Attack Dataset for LLMs with Evil Content

Large Language Models (LLMs) present significant priority in text unders...

0 Chengyuan Liu, et al. ∙

research

∙ 08/21/2023

Instruction Tuning for Large Language Models: A Survey

This paper surveys research works in the quickly advancing field of inst...

0 Shengyu Zhang, et al. ∙

research

∙ 08/16/2023

Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series

Learning directed acyclic graphs (DAGs) to identify causal relations und...

0 Anpeng Wu, et al. ∙

research

∙ 07/19/2023

DisCover: Disentangled Music Representation Learning for Cover Song Identification

In the field of music information retrieval (MIR), cover song identifica...

0 Jiahao Xun, et al. ∙

research

∙ 07/16/2023

Boosting 3-DoF Ground-to-Satellite Camera Localization Accuracy via Geometry-Guided Cross-View Transformer

Image retrieval-based cross-view localization methods often lead to very...

0 Yujiao Shi, et al. ∙

research

∙ 06/16/2023

Pushing the Limits of ChatGPT on NLP Tasks

Despite the success of ChatGPT, its performances on most NLP tasks are s...

0 Xiaofei Sun, et al. ∙

research

∙ 05/25/2023

Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization

Domain generalization (DG) is a prevalent problem in real-world applicat...

0 Yunze Tong, et al. ∙

research

∙ 05/15/2023

Text Classification via Large Language Models

Despite the remarkable success of large-scale Language Models (LLMs) suc...

0 Xiaofei Sun, et al. ∙

research

∙ 05/04/2023

ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos

Building benchmarks to systemically analyze different capabilities of vi...

0 Zhou Yu, et al. ∙

research

∙ 04/28/2023

RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction

Universal Information Extraction (UIE) is an area of interest due to the...

0 Chengyuan Liu, et al. ∙

research

∙ 04/20/2023

GPT-NER: Named Entity Recognition via Large Language Models

Despite the fact that large-scale Language Models (LLM) have achieved SO...

0 Shuhe Wang, et al. ∙

research

∙ 04/13/2023

Set-Based Face Recognition Beyond Disentanglement: Burstiness Suppression With Variance Vocabulary

Set-based face recognition (SFR) aims to recognize the face sets in the ...

0 Jiong Wang, et al. ∙

research

∙ 02/14/2023

IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System

Recommendation systems have shown great potential to solve the informati...

0 Zheqi Lv, et al. ∙

research

∙ 02/13/2023

DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation

In recommendation scenarios, there are two long-standing challenges, i.e...

0 Feng Zhu, et al. ∙

research

∙ 01/22/2023

Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding

Temporal grounding is the task of locating a specific segment from an un...

0 Juncheng Li, et al. ∙

research

∙ 12/22/2022

Depth Estimation maps of lidar and stereo images

This paper as technology report is focusing on evaluation and performanc...

0 Fei Wu, et al. ∙

research

∙ 12/22/2022

Group Sparse Coding for Image Denoising

Group sparse representation has shown promising results in image debulrr...

0 Luoyu Chen, et al. ∙

research

∙ 12/21/2022

CNN waste classification project report

This report is about waste management project. We used CNN as classifier...

0 Fei Wu, et al. ∙

research

∙ 12/20/2022

ParallelNet: Multi-mode Trajectory Prediction by Multi-mode Trajectory Fusion

Level 5 Autonomous Driving, a technology that a fully automated vehicle ...

0 Fei Wu, et al. ∙

research

∙ 12/12/2022

Instrumental Variables in Causal Inference and Machine Learning: A Survey

Causal inference is the process of using assumptions, study designs, and...

0 Anpeng Wu, et al. ∙

research

∙ 12/04/2022

ConfounderGAN: Protecting Image Data Privacy with Causal Confounder

The success of deep learning is partly attributed to the availability of...

0 Qi Tian, et al. ∙

research

∙ 11/18/2022

Confounder Balancing for Instrumental Variable Regression with Latent Variable

This paper studies the confounding effects from the unmeasured confounde...

0 Anpeng Wu, et al. ∙

research

∙ 11/15/2022

Exploiting Contrastive Learning and Numerical Evidence for Improving Confusing Legal Judgment Prediction

Given the fact description text of a legal case, legal judgment predicti...

0 Leilei Gan, et al. ∙

research

∙ 10/25/2022

Learning Individual Treatment Effects under Heterogeneous Interference in Networks

Estimates of individual treatment effects from networked observational d...

0 Ziyu Zhao, et al. ∙

research

∙ 10/16/2022

Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples

The aim of Logic2Text is to generate controllable and faithful texts con...

0 Chengyuan Liu, et al. ∙

research

∙ 09/12/2022

DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization

Device Model Generalization (DMG) is a practical yet under-investigated ...

12 Zheqi Lv, et al. ∙

research

∙ 08/23/2022

Treatment Effect Estimation with Unmeasured Confounders in Data Fusion

In the presence of unmeasured confounders, we address the problem of tre...

0 Anpeng Wu, et al. ∙

research

∙ 08/19/2022

Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling

In an era of information explosion, recommendation systems play an impor...

0 Zheqi Lv, et al. ∙

research

∙ 08/17/2022

CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation

Micro-video recommender systems suffer from the ubiquitous noises in use...

0 Shengyu Zhang, et al. ∙

research

∙ 08/17/2022

Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation

Effectively representing users lie at the core of modern recommender sys...

0 Shengyu Zhang, et al. ∙

research

∙ 08/11/2022

HERO: HiErarchical spatio-tempoRal reasOning with Contrastive Action Correspondence for End-to-End Video Object Grounding

Video Object Grounding (VOG) is the problem of associating spatial objec...

0 Mengze Li, et al. ∙

research

∙ 08/07/2022

Label-Efficient Domain Generalization via Collaborative Exploration and Generalization

Considerable progress has been made in domain generalization (DG) which ...

0 Junkun Yuan, et al. ∙

research

∙ 07/14/2022

E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network

Expandable networks have demonstrated their advantages in dealing with c...

0 Guimei Cao, et al. ∙

research

∙ 06/29/2022

Knowledge Distillation of Transformer-based Language Models Revisited

In the past few years, transformer-based pre-trained language models hav...

0 Chengqiang Lu, et al. ∙

research

∙ 06/23/2022

Intelligent Request Strategy Design in Recommender System

Waterfall Recommender System (RS), a popular form of RS in mobile applic...

0 Xufeng Qian, et al. ∙

research

∙ 06/07/2022

Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning

While annotating decent amounts of data to satisfy sophisticated learnin...

0 Jiannan Guo, et al. ∙

research

∙ 06/02/2022

DE-Net: Dynamic Text-guided Image Editing Adversarial Networks

Text-guided image editing models have shown remarkable results. However,...

0 Ming Tao, et al. ∙

research

∙ 06/02/2022

A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications

To understand human behaviors, action recognition based on videos is a c...

17 Fei Wu, 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

∙ 04/29/2022

RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning

Graph contrastive learning has gained significant progress recently. How...

0 Yun Zhu, et al. ∙

research

∙ 04/25/2022

SyntaSpeech: Syntax-Aware Generative Adversarial Text-to-Speech

The recent progress in non-autoregressive text-to-speech (NAR-TTS) has m...

0 Zhenhui Ye, et al. ∙

research

∙ 03/29/2022

OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction

Learning how humans manipulate objects requires machines to acquire know...

0 Lixin Yang, et al. ∙

research

∙ 03/24/2022

Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning

Temporal grounding in videos aims to localize one target video segment t...

6 Juncheng Li, et al. ∙

research

∙ 03/15/2022

End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding

Natural language spatial video grounding aims to detect the relevant obj...

0 Mengze Li, et al. ∙

research

∙ 02/21/2022

A Novel Architecture Slimming Method for Network Pruning and Knowledge Distillation

Network pruning and knowledge distillation are two widely-known model co...

0 Dongqi Wang, et al. ∙

research

∙ 01/01/2022

Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images

Training deep models for RGB-D salient object detection (SOD) often requ...

5 Xiaoqiang Wang, et al. ∙

research

∙ 12/20/2021

Multi-agent Communication with Graph Information Bottleneck under Limited Bandwidth

Recent studies have shown that introducing communication between agents ...

0 Qi Tian, et al. ∙

research

∙ 12/16/2021

Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution

Convolutional neural networks based single-image super-resolution (SISR)...

14 Guangwei Gao, et al. ∙

research

∙ 11/29/2021

A General Framework for Defending Against Backdoor Attacks via Influence Graph

In this work, we propose a new and general framework to defend against b...

0 Xiaofei Sun, et al. ∙

research

∙ 11/15/2021

Triggerless Backdoor Attack for NLP Tasks with Clean Labels

Backdoor attacks pose a new threat to NLP models. A standard strategy to...

0 Leilei Gan, et al. ∙

Fei Wu

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