b'Qi Liu'

research

∙ 09/21/2023

Leveraging In-the-Wild Data for Effective Self-Supervised Pretraining in Speaker Recognition

Current speaker recognition systems primarily rely on supervised approac...

0 Shuai Wang, et al. ∙

research

∙ 09/19/2023

Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling

Recommender systems are essential for online applications, and sequentia...

0 Junzhe Jiang, et al. ∙

research

∙ 09/15/2023

FedJudge: Federated Legal Large Language Model

Large Language Models (LLMs) have gained prominence in the field of Lega...

0 Linan Yue, et al. ∙

research

∙ 09/08/2023

Beyond Static Datasets: A Deep Interaction Approach to LLM Evaluation

Large Language Models (LLMs) have made progress in various real-world ta...

0 Jiatong Li, et al. ∙

research

∙ 09/05/2023

Decomposed Guided Dynamic Filters for Efficient RGB-Guided Depth Completion

RGB-guided depth completion aims at predicting dense depth maps from spa...

0 Yufei Wang, et al. ∙

research

∙ 09/01/2023

Asymmetric double-winged multi-view clustering network for exploring Diverse and Consistent Information

In unsupervised scenarios, deep contrastive multi-view clustering (DCMVC...

0 Qun Zheng, et al. ∙

research

∙ 09/01/2023

Identifiable Cognitive Diagnosis with Encoder-decoder for Modelling Students' Performance

Cognitive diagnosis aims to diagnose students' knowledge proficiencies b...

0 Jiatong Li, et al. ∙

research

∙ 08/20/2023

Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures

Crohn's disease (CD) is a chronic and relapsing inflammatory condition t...

0 Shunxing Bao, et al. ∙

research

∙ 08/11/2023

Deep Context Interest Network for Click-Through Rate Prediction

Click-Through Rate (CTR) prediction, estimating the probability of a use...

0 Xuyang Hou, et al. ∙

research

∙ 08/11/2023

Deep Task-specific Bottom Representation Network for Multi-Task Recommendation

Neural-based multi-task learning (MTL) has gained significant improvemen...

0 Qi Liu, et al. ∙

research

∙ 08/07/2023

The Compatibility between the Pangu Weather Forecasting Model and Meteorological Operational Data

Recently, multiple data-driven models based on machine learning for weat...

0 Wencong Cheng, et al. ∙

research

∙ 07/31/2023

When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities

The advent of large language models marks a revolutionary breakthrough i...

0 Jin Chen, et al. ∙

research

∙ 07/22/2023

FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Models

Financial risk prediction plays a crucial role in the financial sector. ...

0 Yuwei Yin, et al. ∙

research

∙ 07/18/2023

UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data

Recent advancements in Natural Language Processing (NLP) have witnessed ...

0 Yazheng Yang, et al. ∙

research

∙ 07/14/2023

Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms

Machine learning algorithms have become ubiquitous in a number of applic...

0 Qi Liu, et al. ∙

research

∙ 07/13/2023

NS4AR: A new, focused on sampling areas sampling method in graphical recommendation Systems

The effectiveness of graphical recommender system depends on the quantit...

0 Xiangqi Wang, et al. ∙

research

∙ 07/03/2023

Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images

Many anomaly detection approaches, especially deep learning methods, hav...

0 Can Cui, et al. ∙

research

∙ 06/21/2023

Mean square exponential stability of numerical methods for stochastic differential delay equations

Mean square exponential stability of θ-EM and modified truncated Euler-M...

0 Guangqiang Lan, et al. ∙

research

∙ 06/20/2023

A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design

Structure-based drug design (SBDD), which utilizes the three-dimensional...

0 Zaixi Zhang, et al. ∙

research

∙ 06/18/2023

Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective

Large language models (LLMs), like ChatGPT, have shown some human-like c...

0 Yan Zhuang, et al. ∙

research

∙ 06/14/2023

Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation

Zero-Shot Learning (ZSL), which aims at automatically recognizing unseen...

0 Likang Wu, et al. ∙

research

∙ 06/12/2023

MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer

Unsupervised text style transfer task aims to rewrite a text into target...

0 Yazheng Yang, et al. ∙

research

∙ 06/08/2023

Multi-task Bioassay Pre-training for Protein-ligand Binding Affinity Prediction

Protein-ligand binding affinity (PLBA) prediction is the fundamental tas...

0 Jiaxian Yan, 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

∙ 05/31/2023

A Survey on Large Language Models for Recommendation

Large Language Models (LLMs) have emerged as powerful tools in the field...

0 Likang Wu, 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

∙ 05/24/2023

InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition

The local and global features are both essential for automatic speech re...

0 Zhi-Hao Lai, et al. ∙

research

∙ 05/23/2023

Can Language Models Understand Physical Concepts?

Language models (LMs) gradually become general-purpose interfaces in the...

0 Lei Li, et al. ∙

research

∙ 05/23/2023

Rethinking Speech Recognition with A Multimodal Perspective via Acoustic and Semantic Cooperative Decoding

Attention-based encoder-decoder (AED) models have shown impressive perfo...

0 Tian-Hao Zhang, et al. ∙

research

∙ 05/22/2023

Interactive Natural Language Processing

Interactive Natural Language Processing (iNLP) has emerged as a novel pa...

3 Zekun Wang, et al. ∙

research

∙ 05/22/2023

Learning Subpocket Prototypes for Generalizable Structure-based Drug Design

Generating molecules with high binding affinities to target proteins (a....

0 Zaixi Zhang, et al. ∙

research

∙ 05/15/2023

NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation

With the progress of 3D human pose and shape estimation, state-of-the-ar...

2 Jiefeng Li, et al. ∙

research

∙ 05/07/2023

A generalized network level disruption strategy selection model for urban public transport systems

A fast recovery from disruptions is of vital importance for the reliabil...

0 Qi Liu, et al. ∙

research

∙ 04/18/2023

TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models

Data augmentation has been established as an efficacious approach to sup...

3 Yuwei Yin, et al. ∙

research

∙ 04/05/2023

Quiz-based Knowledge Tracing

Knowledge tracing (KT) aims to assess individuals' evolving knowledge st...

2 Shuanghong Shen, et al. ∙

research

∙ 04/01/2023

Cross-scale Multi-instance Learning for Pathological Image Diagnosis

Analyzing high resolution whole slide images (WSIs) with regard to infor...

8 Ruining Deng, et al. ∙

research

∙ 03/25/2023

Two Heads are Better than One: A Bio-inspired Method for Improving Classification on EEG-ET Data

Classifying EEG data is integral to the performance of Brain Computer In...

0 Eric Modesitt, et al. ∙

research

∙ 03/13/2023

Backdoor Defense via Deconfounded Representation Learning

Deep neural networks (DNNs) are recently shown to be vulnerable to backd...

0 Zaixi Zhang, et al. ∙

research

∙ 02/24/2023

Retrieved Sequence Augmentation for Protein Representation Learning

Protein language models have excelled in a variety of tasks, ranging fro...

0 Chang Ma, et al. ∙

research

∙ 02/20/2023

Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements and Challenges

Radars are widely used to obtain echo information for effective predicti...

0 Qi Liu, et al. ∙

research

∙ 02/20/2023

FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification

Deep learning-based algorithms, e.g., convolutional networks, have signi...

0 Mingyue Cheng, et al. ∙

research

∙ 02/16/2023

Search-Engine-augmented Dialogue Response Generation with Cheaply Supervised Query Production

Knowledge-aided dialogue response generation aims at augmenting chatbots...

0 Ante Wang, et al. ∙

research

∙ 02/11/2023

Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning

Mathematical reasoning is one of the crucial abilities of general artifi...

0 Jiayu Liu, et al. ∙

research

∙ 02/10/2023

ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification

Physiological signals are high-dimensional time series of great practica...

0 Wenqiang He, et al. ∙

research

∙ 02/09/2023

A Novel Approach for Auto-Formulation of Optimization Problems

In the Natural Language for Optimization (NL4Opt) NeurIPS 2022 competiti...

0 Yuting Ning, et al. ∙

research

∙ 12/11/2022

Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense

Federated recommendation (FedRec) can train personalized recommenders wi...

0 Yang Yu, et al. ∙

research

∙ 11/30/2022

Progressive Knowledge Transfer Based on Human Visual Perception Mechanism for Perceptual Quality Assessment of Point Clouds

With the wide applications of colored point cloud in many fields, point ...

0 Qi Liu, et al. ∙

research

∙ 11/09/2022

Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF

Recognizing useful named entities plays a vital role in medical informat...

0 Junzhe Jiang, et al. ∙

research

∙ 11/06/2022

Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges

Proper functioning of connected and automated vehicles (CAVs) is crucial...

0 Qi Liu, et al. ∙

research

∙ 11/05/2022

One Person, One Model–Learning Compound Router for Sequential Recommendation

Deep learning has brought significant breakthroughs in sequential recomm...

0 Zhiding Liu, et al. ∙

Qi Liu

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