b'Qi Zhang'

research

∙ 08/10/2022

Exploring Anchor-based Detection for Ego4D Natural Language Query

In this paper we provide the technique report of Ego4D natural language ...

Sipeng Zheng, et al. ∙

research

∙ 08/05/2022

A Semantic Alignment System for Multilingual Query-Product Retrieval

This paper mainly describes our winning solution (team name: www) to Ama...

Qi Zhang, et al. ∙

research

∙ 07/26/2022

Efficient High-Resolution Deep Learning: A Survey

Cameras in modern devices such as smartphones, satellites and medical eq...

Arian Bakhtiarnia, et al. ∙

research

∙ 07/22/2022

Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing

This paper studies inference acceleration using distributed convolutiona...

Nan Li, et al. ∙

research

∙ 07/22/2022

Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing

This paper studies inference acceleration using distributed convolutiona...

Nan Li, et al. ∙

research

∙ 07/18/2022

Unifying Event Detection and Captioning as Sequence Generation via Pre-Training

Dense video captioning aims to generate corresponding text descriptions ...

Qi Zhang, et al. ∙

research

∙ 07/17/2022

Neural Color Operators for Sequential Image Retouching

We propose a novel image retouching method by modeling the retouching pr...

Yili Wang, et al. ∙

research

∙ 07/01/2022

Neural Parameterization for Dynamic Human Head Editing

Implicit radiance functions emerged as a powerful scene representation f...

Li Ma, et al. ∙

research

∙ 06/29/2022

Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning

Case-based Reasoning (CBR) on high-dimensional and heterogeneous data is...

Qi Zhang, et al. ∙

research

∙ 06/15/2022

Convergence and Price of Anarchy Guarantees of the Softmax Policy Gradient in Markov Potential Games

We study the performance of policy gradient methods for the subclass of ...

Dingyang Chen, et al. ∙

research

∙ 06/12/2022

A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning

An in-depth understanding of uncertainty is the first step to making eff...

Zhen Guo, et al. ∙

research

∙ 06/07/2022

Searching for Optimal Subword Tokenization in Cross-domain NER

Input distribution shift is one of the vital problems in unsupervised do...

Ruotian Ma, et al. ∙

research

∙ 06/06/2022

A Neural Corpus Indexer for Document Retrieval

Current state-of-the-art document retrieval solutions mainly follow an i...

Yujing Wang, et al. ∙

research

∙ 05/31/2022

A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis

Structured sentiment analysis, which aims to extract the complex semanti...

Qi Zhang, et al. ∙

research

∙ 05/31/2022

Enhancing Event-Level Sentiment Analysis with Structured Arguments

Previous studies about event-level sentiment analysis (SA) usually model...

Qi Zhang, et al. ∙

research

∙ 05/23/2022

Dynamic Split Computing for Efficient Deep Edge Intelligence

Deploying deep neural networks (DNNs) on IoT and mobile devices is a cha...

Arian Bakhtiarnia, et al. ∙

research

∙ 05/22/2022

Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities

In recent years, sequential recommender systems (SRSs) and session-based...

Shoujin Wang, et al. ∙

research

∙ 05/03/2022

Cross-View Cross-Scene Multi-View Crowd Counting

Multi-view crowd counting has been previously proposed to utilize multi-...

Qi Zhang, et al. ∙

research

∙ 04/26/2022

Process Knowledge-infused Learning for Suicidality Assessment on Social Media

Improving the performance and natural language explanations of deep lear...

Kaushik Roy, et al. ∙

research

∙ 04/22/2022

Multi-view Information Bottleneck Without Variational Approximation

By "intelligently" fusing the complementary information across different...

Qi Zhang, et al. ∙

research

∙ 04/19/2022

A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets

In recent years, interest has arisen in using machine learning to improv...

Wei Chen, et al. ∙

research

∙ 04/09/2022

MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective

NER model has achieved promising performance on standard NER benchmarks....

Xiao Wang, et al. ∙

research

∙ 04/02/2022

PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation

Pixel synthesis is a promising research paradigm for image generation, w...

Jing He, et al. ∙

research

∙ 04/01/2022

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings

Vector quantization (VQ) based ANN indexes, such as Inverted File System...

Shitao Xiao, et al. ∙

research

∙ 04/01/2022

Stereo Unstructured Magnification: Multiple Homography Image for View Synthesis

This paper studies the problem of view synthesis with certain amount of ...

Qi Zhang, et al. ∙

research

∙ 03/30/2022

CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis

In large-scale online services, crucial metrics, a.k.a., key performance...

Shifu Yan, et al. ∙

research

∙ 03/27/2022

UV Volumes for Real-time Rendering of Editable Free-view Human Performance

Neural volume rendering has been proven to be a promising method for eff...

Yue Chen, et al. ∙

research

∙ 03/25/2022

Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap

Recently, contrastive learning has risen to be a promising approach for ...

Yifei Wang, et al. ∙

research

∙ 03/23/2022

PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation

The goal of recommender systems is to provide ordered item lists to user...

Yi Li, et al. ∙

research

∙ 03/06/2022

Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents

Text semantic matching is a fundamental task that has been widely used i...

Yicheng Zou, et al. ∙

research

∙ 03/02/2022

An Effective Way for Cross-Market Recommendation with Hybrid Pre-Ranking and Ranking Models

The Cross-Market Recommendation task of WSDM CUP 2022 is about finding s...

Qi Zhang, et al. ∙

research

∙ 02/18/2022

Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games

Recent success in cooperative multi-agent reinforcement learning (MARL) ...

Dingyang Chen, et al. ∙

research

∙ 02/16/2022

Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective

Natural language understanding (NLU) models tend to rely on spurious cor...

Shihan Dou, et al. ∙

research

∙ 02/16/2022

HousE: Knowledge Graph Embedding with Householder Parameterization

The effectiveness of knowledge graph embedding (KGE) largely depends on ...

Rui Li, et al. ∙

research

∙ 02/15/2022

Post-Training Quantization for Cross-Platform Learned Image Compression

It has been witnessed that learned image compression has outperformed co...

Dailan He, et al. ∙

research

∙ 02/13/2022

Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search

Embedding based retrieval (EBR) is a fundamental building block in many ...

Jianjin Zhang, et al. ∙

research

∙ 01/14/2022

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval

Ad-hoc search calls for the selection of appropriate answers from a mass...

Shitao Xiao, et al. ∙

research

∙ 01/12/2022

PromptBERT: Improving BERT Sentence Embeddings with Prompts

The poor performance of the original BERT for sentence semantic similari...

Ting Jiang, et al. ∙

research

∙ 01/09/2022

A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning

Federated learning (FL) is a training technique that enables client devi...

Sai Qian Zhang, et al. ∙

research

∙ 12/12/2021

An Advanced Parallel PageRank Algorithm

Initially used to rank web pages, PageRank has now been applied in many ...

Qi Zhang, et al. ∙

research

∙ 12/03/2021

A Parallel PageRank Algorithm For Undirected Graph

PageRank is a fundamental property of graph and there have been plenty o...

Qi Zhang, et al. ∙

research

∙ 11/30/2021

FENeRF: Face Editing in Neural Radiance Fields

Previous portrait image generation methods roughly fall into two categor...

Jingxiang Sun, et al. ∙

research

∙ 11/30/2021

Hallucinated Neural Radiance Fields in the Wild

Neural Radiance Fields (NeRF) has recently gained popularity for its imp...

Xingyu Chen, et al. ∙

research

∙ 11/29/2021

HDR-NeRF: High Dynamic Range Neural Radiance Fields

We present High Dynamic Range Neural Radiance Fields (HDR-NeRF) to recov...

Xin Huang, et al. ∙

research

∙ 11/29/2021

Deblur-NeRF: Neural Radiance Fields from Blurry Images

Neural Radiance Field (NeRF) has gained considerable attention recently ...

Li Ma, et al. ∙

research

∙ 11/05/2021

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark

Model quantization has emerged as an indispensable technique to accelera...

Yuhang Li, et al. ∙

research

∙ 11/03/2021

Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training

Aspect-based sentiment analysis aims to identify the sentiment polarity ...

Zhengyan Li, et al. ∙

research

∙ 10/21/2021

Improving Non-autoregressive Generation with Mixup Training

While pre-trained language models have achieved great success on various...

Ting Jiang, et al. ∙

research

∙ 10/14/2021

Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models

Plug-and-play functionality allows deep learning models to adapt well to...

Xin Zhou, et al. ∙

research

∙ 10/03/2021

Disarranged Zone Learning (DZL): An unsupervised and dynamic automatic stenosis recognition methodology based on coronary angiography

We proposed a novel unsupervised methodology named Disarranged Zone Lear...

Yanan Dai, et al. ∙

Qi Zhang

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