b'Qi Liu'

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. ∙

research

∙ 10/26/2022

CU-Net: LiDAR Depth-Only Completion With Coupled U-Net

LiDAR depth-only completion is a challenging task to estimate dense dept...

0 Yufei Wang, et al. ∙

research

∙ 10/26/2022

Searching Dense Point Correspondences via Permutation Matrix Learning

Although 3D point cloud data has received widespread attentions as a gen...

0 Zhiyuan Zhang, et al. ∙

research

∙ 10/21/2022

Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play

The task of context-dependent text-to-SQL aims to convert multi-turn use...

0 Qi Liu, et al. ∙

research

∙ 10/08/2022

Hierarchical Graph Transformer with Adaptive Node Sampling

The Transformer architecture has achieved remarkable success in a number...

0 Zaixi Zhang, et al. ∙

research

∙ 09/16/2022

Model Inversion Attacks against Graph Neural Networks

Many data mining tasks rely on graphs to model relational structures amo...

8 Zaixi Zhang, et al. ∙

research

∙ 08/15/2022

Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images

Multi-instance learning (MIL) is widely used in the computer-aided inter...

14 Ruining Deng, et al. ∙

research

∙ 05/25/2022

Context-Aware Video Reconstruction for Rolling Shutter Cameras

With the ubiquity of rolling shutter (RS) cameras, it is becoming increa...

0 Bin Fan, et al. ∙

research

∙ 05/18/2022

Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification

Cross-domain sentiment classification (CDSC) aims to use the transferabl...

1 Kai Zhang, et al. ∙

research

∙ 03/30/2022

Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) predicts sentiment polarity towar...

3 Kai Zhang, et al. ∙

research

∙ 02/22/2022

A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles

The deep reinforcement learning-based energy management strategies (EMS)...

13 Jingyi Xu, et al. ∙

research

∙ 02/22/2022

An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios

Precisely modeling interactions and accurately predicting trajectories o...

0 Zirui Li, et al. ∙

research

∙ 02/21/2022

Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation

Robust and efficient interpretation of QSAR methods is quite useful to v...

22 Jinjiang Guo, et al. ∙

research

∙ 01/30/2022

Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments

An efficient and reliable multi-agent decision-making system is highly d...

9 Qi Liu, et al. ∙

research

∙ 01/24/2022

Relational Memory Augmented Language Models

We present a memory-augmented approach to condition an autoregressive la...

1 Qi Liu, et al. ∙

research

∙ 01/15/2022

Deep Unified Representation for Heterogeneous Recommendation

Recommendation system has been a widely studied task both in academia an...

5 Chengqiang Lu, et al. ∙

research

∙ 12/30/2021

Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction

Predicting human motion from historical pose sequence is crucial for a m...

5 Zhenguang Liu, et al. ∙

research

∙ 12/02/2021

Contrastive Cross-domain Recommendation in Matching

Cross-domain recommendation (CDR) aims to provide better recommendation ...

0 Ruobing Xie, et al. ∙

research

∙ 12/02/2021

Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation

Personalized news recommendation has been widely adopted to improve user...

0 Yang Yu, et al. ∙

research

∙ 12/02/2021

ProtGNN: Towards Self-Explaining Graph Neural Networks

Despite the recent progress in Graph Neural Networks (GNNs), it remains ...

122 Zaixi Zhang, et al. ∙

research

∙ 11/25/2021

A novel time delay estimation algorithm of acoustic pyrometry for furnace

Acoustic pyrometry is a non-contact measurement technology for monitorin...

0 Qi Liu, et al. ∙

research

∙ 11/12/2021

Nonlinear Tensor Ring Network

The state-of-the-art deep neural networks (DNNs) have been widely applie...

9 Xiao Peng Li, et al. ∙

research

∙ 10/08/2021

An infinite family of antiprimitive cyclic codes supporting Steiner systems S(3,8, 7^m+1)

Coding theory and combinatorial t-designs have close connections and int...

0 Can Xiang, et al. ∙

research

∙ 10/03/2021

Motif-based Graph Self-Supervised Learning forMolecular Property Prediction

Predicting molecular properties with data-driven methods has drawn much ...

2 Zaixi Zhang, et al. ∙

research

∙ 09/19/2021

On Infinite Families of Narrow-Sense Antiprimitive BCH Codes Admitting 3-Transitive Automorphism Groups and their Consequences

The Bose-Chaudhuri-Hocquenghem (BCH) codes are a well-studied subclass o...

0 Qi Liu, et al. ∙

research

∙ 08/27/2021

DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis

Text-to-image synthesis refers to generating an image from a given text ...

4 Shulan Ruan, et al. ∙

Qi Liu

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