b'Zheng Li'

research

∙ 07/29/2022

Towards Reproducible Evaluations for Flying Drone Controllers in Virtual Environments

Research attention on natural user interfaces (NUIs) for drone flights a...

Zheng Li, et al. ∙

research

∙ 06/15/2022

Condensing Graphs via One-Step Gradient Matching

As training deep learning models on large dataset takes a lot of time an...

Wei Jin, et al. ∙

research

∙ 05/31/2022

Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images

Computer-aided diagnosis (CAD) can help pathologists improve diagnostic ...

Jun Shi, et al. ∙

research

∙ 05/21/2022

Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training

Keyphrase generation is the task of automatically predicting keyphrases ...

Yifan Gao, et al. ∙

research

∙ 04/07/2022

Accelerating Attention through Gradient-Based Learned Runtime Pruning

Self-attention is a key enabler of state-of-art accuracy for various tra...

Zheng Li, et al. ∙

research

∙ 03/28/2022

Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment

Predicting missing facts in a knowledge graph (KG) is crucial as modern ...

Zijie Huang, et al. ∙

research

∙ 03/21/2022

DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization

Large-scale pre-trained sequence-to-sequence models like BART and T5 ach...

Zheng Li, et al. ∙

research

∙ 03/18/2022

Multi-Modal Causal Inference with Deep Structural Equation Models

Accounting for the effects of confounders is one of the central challeng...

Shachi Deshpande, et al. ∙

research

∙ 02/12/2022

RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph

With the increasing demands on e-commerce platforms, numerous user actio...

Ruijie Wang, et al. ∙

research

∙ 01/24/2022

Just Enough, Just in Time, Just for "Me": Fundamental Principles for Engineering IoT-native Software Systems

By seamlessly integrating everyday objects and by changing the way we in...

Zheng Li, et al. ∙

research

∙ 01/10/2022

Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Development and Control

Driven by the key challenges of cell therapy manufacturing, including hi...

Hua Zheng, et al. ∙

research

∙ 11/27/2021

FQ-ViT: Fully Quantized Vision Transformer without Retraining

Network quantization significantly reduces model inference complexity an...

Yang Lin, et al. ∙

research

∙ 10/10/2021

3D Object Detection Combining Semantic and Geometric Features from Point Clouds

In this paper, we investigate the combination of voxel-based methods and...

Hao Peng, et al. ∙

research

∙ 08/19/2021

QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction

We study the problem of query attribute value extraction, which aims to ...

Danqing Zhang, et al. ∙

research

∙ 08/04/2021

Online Knowledge Distillation for Efficient Pose Estimation

Existing state-of-the-art human pose estimation methods require heavy co...

Zheng Li, et al. ∙

research

∙ 07/23/2021

OLR 2021 Challenge: Datasets, Rules and Baselines

This paper introduces the sixth Oriental Language Recognition (OLR) 2021...

Binling Wang, et al. ∙

research

∙ 07/17/2021

Throughput Maximization of UAV Networks

In this paper we study the deployment of multiple unmanned aerial vehicl...

Wenzheng Xu, et al. ∙

research

∙ 07/05/2021

Oriental Language Recognition (OLR) 2020: Summary and Analysis

The fifth Oriental Language Recognition (OLR) Challenge focuses on langu...

Jing Li, et al. ∙

research

∙ 06/29/2021

Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images

The thick-slice magnetic resonance (MR) images are often structurally bl...

Zhiyang Lu, et al. ∙

research

∙ 06/25/2021

Phoneme-aware and Channel-wise Attentive Learning for Text DependentSpeaker Verification

This paper proposes a multi-task learning network with phoneme-aware and...

Yan Liu, et al. ∙

research

∙ 06/24/2021

Additive Phoneme-aware Margin Softmax Loss for Language Recognition

This paper proposes an additive phoneme-aware margin softmax (APM-Softma...

Zheng Li, et al. ∙

research

∙ 03/03/2021

Long Live The Image: Container-Native Data Persistence in Production

Containerization plays a crucial role in the de facto technology stack f...

Zheng Li, et al. ∙

research

∙ 03/02/2021

On a Factorial Knowledge Architecture for Data Science-powered Software Engineering

Given the data-intensive and collaborative trend in science, the softwar...

Zheng Li, et al. ∙

research

∙ 03/02/2021

Stop Building Castles on a Swamp! The Crisis of Reproducing Automatic Search in Evidence-based Software Engineering

The evidence-based approach has increasingly been employed to synthesize...

Zheng Li, et al. ∙

research

∙ 02/25/2021

Design and Control of a Highly Redundant Rigid-Flexible Coupling Robot to Assist the COVID-19 Oropharyngeal-Swab Sampling

The outbreak of novel coronavirus pneumonia (COVID-19) has caused mortal...

Yingbai Hu, et al. ∙

research

∙ 01/07/2021

Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English

In this paper, we describe our system for the AAAI 2021 shared task of C...

Xiangyang Li, et al. ∙

research

∙ 10/26/2020

Multimodal Topic Learning for Video Recommendation

Facilitated by deep neural networks, video recommendation systems have m...

Shi Pu, et al. ∙

research

∙ 10/23/2020

Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond

Cross-lingual adaptation with multilingual pre-trained language models (...

Xin Li, et al. ∙

research

∙ 10/12/2020

Reconstruction of Quantitative Susceptibility Maps from Phase of Susceptibility Weighted Imaging with Cross-Connected Ψ-Net

Quantitative Susceptibility Mapping (QSM) is a new phase-based technique...

Zhiyang Lu, et al. ∙

research

∙ 10/02/2020

Online Knowledge Distillation via Multi-branch Diversity Enhancement

Knowledge distillation is an effective method to transfer the knowledge ...

Zheng Li, et al. ∙

research

∙ 07/30/2020

Label-Leaks: Membership Inference Attack with Label

Machine learning (ML) has made tremendous progress during the past decad...

Zheng Li, et al. ∙

research

∙ 07/08/2020

Research on multi-dimensional end-to-end phrase recognition algorithm based on background knowledge

At present, the deep end-to-end method based on supervised learning is u...

Zheng Li, et al. ∙

research

∙ 07/07/2020

Research on Annotation Rules and Recognition Algorithm Based on Phrase Window

At present, most Natural Language Processing technology is based on the ...

Guang Liu, et al. ∙

research

∙ 06/16/2020

Exploiting Visual Semantic Reasoning for Video-Text Retrieval

Video retrieval is a challenging research topic bridging the vision and ...

Zerun Feng, et al. ∙

research

∙ 06/04/2020

AP20-OLR Challenge: Three Tasks and Their Baselines

This paper introduces the fifth oriental language recognition (OLR) chal...

Zheng Li, et al. ∙

research

∙ 05/07/2020

Indexing Metric Spaces for Exact Similarity Search

With the continued digitalization of societal processes, we are seeing a...

Lu Chen, et al. ∙

research

∙ 02/17/2020

Rate Splitting for Multi-Antenna Downlink: Precoder Design and Practical Implementation

Rate splitting (RS) is a potentially powerful and flexible technique for...

Zheng Li, et al. ∙

research

∙ 12/18/2019

Multi-Agent Deep Reinforcement Learning based Spectrum Allocation for D2D Underlay Communications

Device-to-device (D2D) communication underlay cellular networks is a pro...

Zheng Li, et al. ∙

research

∙ 11/04/2019

AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results

This paper reviews the AIM 2019 challenge on constrained example-based s...

Kai Zhang, et al. ∙

research

∙ 10/31/2019

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning

Joint extraction of aspects and sentiments can be effectively formulated...

Zheng Li, et al. ∙

research

∙ 09/30/2019

Non-uniform Berry-Esseen Bound by Unbounded Exchangeable Pair Approach

Since Stein presented his ideas in the seminal paper s1, there have been...

Dali Liu, et al. ∙

research

∙ 08/18/2019

Hybrid LBM-FVM and LBM-MCM Methods for Fluid Flow and Heat Transfer Simulation

The fluid flow and heat transfer problems encountered in industry applic...

Zheng Li, et al. ∙

research

∙ 07/09/2019

SVGD: A Virtual Gradients Descent Method for Stochastic Optimization

Inspired by dynamic programming, we propose Stochastic Virtual Gradient ...

Zheng Li, et al. ∙

research

∙ 05/28/2019

Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches

Machine learning algorithms have made significant advances in many appli...

Xiaocong Du, et al. ∙

research

∙ 05/27/2019

CGaP: Continuous Growth and Pruning for Efficient Deep Learning

Today a canonical approach to reduce the computation cost of Deep Neural...

Xiaocong Du, et al. ∙

research

∙ 05/27/2019

Efficient Network Construction through Structural Plasticity

Deep Neural Networks (DNNs) on hardware is facing excessive computation ...

Xiaocong Du, et al. ∙

research

∙ 04/16/2019

SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula

Synthetic population generation is the process of combining multiple soc...

Colin Wan, et al. ∙

research

∙ 04/14/2019

A Multi-Agent Deep Reinforcement Learning based Spectrum Allocation Framework for D2D Communications

Device-to-device (D2D) communication has been recognized as a promising ...

Zheng Li, et al. ∙

research

∙ 04/14/2019

A Multi-Agent Deep Reinforcement Learning based Spectrum Allocation Framework for D2D Underlay Communications

Device-to-device (D2D) underlay communication improves spectrum efficien...

Zheng Li, et al. ∙

research

∙ 04/04/2019

Lightweight Image Super-Resolution with Adaptive Weighted Learning Network

Deep learning has been successfully applied to the single-image super-re...

Chaofeng Wang, et al. ∙

Zheng Li

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