b'Chao Zhang'

research

∙ 07/04/2022

Learning Disentangled Representations for Controllable Human Motion Prediction

Generative model-based motion prediction techniques have recently realiz...

Chunzhi Gu, et al. ∙

research

∙ 07/02/2022

Tree-constrained Pointer Generator with Graph Neural Network Encodings for Contextual Speech Recognition

Incorporating biasing words obtained as contextual knowledge is critical...

Guangzhi Sun, et al. ∙

research

∙ 06/28/2022

Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction

On e-commerce platforms, predicting if two products are compatible with ...

Rongzhi Zhang, et al. ∙

research

∙ 06/22/2022

Robust mixed finite element methods for a quad-curl singular perturbation problem

Robust mixed finite element methods are developed for a quad-curl singul...

Xuehai Huang, et al. ∙

research

∙ 06/20/2022

Self-Supervised Consistent Quantization for Fully Unsupervised Image Retrieval

Unsupervised image retrieval aims to learn an efficient retrieval system...

Guile Wu, et al. ∙

research

∙ 05/27/2022

Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition

Weakly supervised named entity recognition methods train label models to...

Yinghao Li, et al. ∙

research

∙ 05/25/2022

jTrans: Jump-Aware Transformer for Binary Code Similarity

Binary code similarity detection (BCSD) has important applications in va...

Hao Wang, et al. ∙

research

∙ 05/18/2022

Minimising Biasing Word Errors for Contextual ASR with the Tree-Constrained Pointer Generator

Contextual knowledge is essential for reducing speech recognition errors...

Guangzhi Sun, et al. ∙

research

∙ 05/18/2022

Revisiting PINNs: Generative Adversarial Physics-informed Neural Networks and Point-weighting Method

Physics-informed neural networks (PINNs) provide a deep learning framewo...

Wensheng Li, et al. ∙

research

∙ 04/08/2022

CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data

User sessions empower many search and recommendation tasks on a daily ba...

Rui Feng, et al. ∙

research

∙ 03/30/2022

FlowFormer: A Transformer Architecture for Optical Flow

We introduce Optical Flow TransFormer (FlowFormer), a transformer-based ...

Zhaoyang Huang, et al. ∙

research

∙ 03/29/2022

Learning a Structured Latent Space for Unsupervised Point Cloud Completion

Unsupervised point cloud completion aims at estimating the corresponding...

Yingjie Cai, et al. ∙

research

∙ 03/18/2022

FORCE: A Framework of Rule-Based Conversational Recommender System

The conversational recommender systems (CRSs) have received extensive at...

Jun Quan, et al. ∙

research

∙ 03/18/2022

PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning

Weakly-supervised learning (WSL) has shown promising results in addressi...

Rongzhi Zhang, et al. ∙

research

∙ 03/16/2022

A Reachability Index for Recursive Label-Concatenated Graph Queries

Reachability queries checking the existence of a path from a source node...

Chao Zhang, et al. ∙

research

∙ 03/08/2022

Estimating the Uncertainty in Emotion Class Labels with Utterance-Specific Dirichlet Priors

Emotion recognition is a key attribute for artificial intelligence syste...

Wen Wu, et al. ∙

research

∙ 03/08/2022

Learning to Erase the Bayer-Filter to See in the Dark

Low-light image enhancement - a pervasive but challenging problem, plays...

Xingbo Dong, et al. ∙

research

∙ 02/14/2022

UA-FedRec: Untargeted Attack on Federated News Recommendation

News recommendation is critical for personalized news distribution. Fede...

Jingwei Yi, et al. ∙

research

∙ 02/11/2022

A Survey on Programmatic Weak Supervision

Labeling training data has become one of the major roadblocks to using m...

Jieyu Zhang, et al. ∙

research

∙ 02/06/2022

SIGMA: A Structural Inconsistency Reducing Graph Matching Algorithm

Graph matching finds the correspondence of nodes across two correlated g...

Weijie Liu, et al. ∙

research

∙ 01/27/2022

Hierarchical Visual Interface for Lecture Video Retrieval and Summarization

With the emergence of large-scale open online courses and online academi...

Jiaohao Weng, et al. ∙

research

∙ 01/25/2022

Improving the fusion of acoustic and text representations in RNN-T

The recurrent neural network transducer (RNN-T) has recently become the ...

Chao Zhang, et al. ∙

research

∙ 12/17/2021

Supervised Multivariate Learning with Simultaneous Feature Auto-grouping and Dimension Reduction

Modern high-dimensional methods often adopt the "bet on sparsity" princi...

Yiyuan She, et al. ∙

research

∙ 12/16/2021

ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification

Despite the great success of pre-trained language models (LMs) in many n...

Yue Yu, et al. ∙

research

∙ 12/04/2021

A refined consumer behavior model for energy systems: Application to the pricing and energy-efficiency problems

The sum-utility maximization problem is known to be important in the ene...

Chao Zhang, et al. ∙

research

∙ 12/02/2021

DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework

The recently developed Particle-based Variational Inference (ParVI) meth...

Chao Zhang, et al. ∙

research

∙ 11/24/2021

PMSSC: Parallelizable Multi-Subset based Self-Expressive Model for Subspace Clustering

Subspace clustering methods embrace a self-expressive model that represe...

Katsuya Hotta, et al. ∙

research

∙ 11/12/2021

Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned

The growing availability of the data collected from smart manufacturing ...

Xiaoye Qian, et al. ∙

research

∙ 11/12/2021

Soft-Sensing ConFormer: A Curriculum Learning-based Convolutional Transformer

Over the last few decades, modern industrial processes have investigated...

Jaswanth Yella, et al. ∙

research

∙ 11/12/2021

GraSSNet: Graph Soft Sensing Neural Networks

In the era of big data, data-driven based classification has become an e...

Yu Huang, et al. ∙

research

∙ 11/12/2021

Diversity-Promoting Human Motion Interpolation via Conditional Variational Auto-Encoder

In this paper, we present a deep generative model based method to genera...

Chunzhi Gu, et al. ∙

research

∙ 11/12/2021

Approximating Optimal Transport via Low-rank and Sparse Factorization

Optimal transport (OT) naturally arises in a wide range of machine learn...

Weijie Liu, et al. ∙

research

∙ 11/10/2021

Soft Sensing Transformer: Hundreds of Sensors are Worth a Single Word

With the rapid development of AI technology in recent years, there have ...

Chao Zhang, et al. ∙

research

∙ 11/02/2021

iCallee: Recovering Call Graphs for Binaries

Recovering programs' call graphs is crucial for inter-procedural analysi...

Wenyu Zhu, et al. ∙

research

∙ 10/28/2021

Lightweight Mobile Automated Assistant-to-physician for Global Lower-resource Areas

Importance: Lower-resource areas in Africa and Asia face a unique set of...

Chao Zhang, et al. ∙

research

∙ 10/11/2021

Two-stage Fourth-order Gas Kinetic Solver-based Compact Subcell Finite Volume Method for Compressible Flows over Triangular Meshes

To meet the demand for complex geometries and high resolutions of small-...

Chao Zhang, et al. ∙

research

∙ 10/08/2021

Input Length Matters: An Empirical Study Of RNN-T And MWER Training For Long-form Telephony Speech Recognition

End-to-end models have achieved state-of-the-art results on several auto...

Zhiyun Lu, et al. ∙

research

∙ 09/15/2021

Self-Training with Differentiable Teacher

Self-training achieves enormous success in various semi-supervised and w...

Simiao Zuo, et al. ∙

research

∙ 09/13/2021

Learning to Predict Diverse Human Motions from a Single Image via Mixture Density Networks

Human motion prediction, which plays a key role in computer vision, gene...

Chunzhi Gu, et al. ∙

research

∙ 09/11/2021

Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework

In this work, we study the problem of named entity recognition (NER) in ...

Yaqing Wang, et al. ∙

research

∙ 09/08/2021

Training Algorithm Matters for the Performance of Neural Network Potential

One hidden yet important issue for developing neural network potentials ...

Yunqi Shao, et al. ∙

research

∙ 09/07/2021

IEEE BigData 2021 Cup: Soft Sensing at Scale

IEEE BigData 2021 Cup: Soft Sensing at Scale is a data mining competitio...

Sergei Petrov, et al. ∙

research

∙ 09/01/2021

Tree-constrained Pointer Generator for End-to-end Contextual Speech Recognition

Contextual knowledge is important for real-world automatic speech recogn...

Guangzhi Sun, et al. ∙

research

∙ 09/01/2021

Demystifying Scam Tokens on Uniswap Decentralized Exchange

The prosperity of the cryptocurrency ecosystem drives the needs for digi...

Pengcheng Xia, et al. ∙

research

∙ 08/18/2021

A reduced model for compressible viscous heat-conducting multicomponent flows

In the present paper we propose a reduced temperature non-equilibrium mo...

Chao Zhang, et al. ∙

research

∙ 08/04/2021

Auto-encoder based Model for High-dimensional Imbalanced Industrial Data

With the proliferation of IoT devices, the distributed control systems a...

Chao Zhang, et al. ∙

research

∙ 08/02/2021

Towards Making Deep Learning-based Vulnerability Detectors Robust

Automatically detecting software vulnerabilities in source code is an im...

Zhen Li, et al. ∙

research

∙ 07/29/2021

Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition

Language models (LMs) pre-trained on massive amounts of text, in particu...

Xianrui Zheng, et al. ∙

research

∙ 07/03/2021

Efficient Vision Transformers via Fine-Grained Manifold Distillation

This paper studies the model compression problem of vision transformers....

Ding Jia, et al. ∙

research

∙ 06/24/2021

GAN-MDF: A Method for Multi-fidelity Data Fusion in Digital Twins

The Internet of Things (IoT) collects real-time data of physical systems...

Lixue Liu, et al. ∙

Chao Zhang

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