Search Results for author: Xinyu Zhang

Found 31 papers, 15 papers with code

Bag-of-Words Baselines for Semantic Code Search

no code implementations ACL (NLP4Prog) 2021 Xinyu Zhang, Ji Xin, Andrew Yates, Jimmy Lin

The task of semantic code search is to retrieve code snippets from a source code corpus based on an information need expressed in natural language.

Code Search Information Retrieval

A Little Bit Is Worse Than None: Ranking with Limited Training Data

no code implementations EMNLP (sustainlp) 2020 Xinyu Zhang, Andrew Yates, Jimmy Lin

Researchers have proposed simple yet effective techniques for the retrieval problem based on using BERT as a relevance classifier to rerank initial candidates from keyword search.

Passage Retrieval

Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking

1 code implementation19 May 2022 Minghan Li, Xinyu Zhang, Ji Xin, Hongyang Zhang, Jimmy Lin

For example, on MS MARCO Passage v1, our method yields an average candidate set size of 27 out of 1, 000 which increases the reranking speed by about 37 times, while the MRR@10 is greater than a pre-specified value of 0. 38 with about 90% empirical coverage and the empirical baselines fail to provide such guarantee.

Information Retrieval

Implicit Sample Extension for Unsupervised Person Re-Identification

1 code implementation14 Apr 2022 Xinyu Zhang, Dongdong Li, Zhigang Wang, Jian Wang, Errui Ding, Javen Qinfeng Shi, Zhaoxiang Zhang, Jingdong Wang

Specifically, we generate support samples from actual samples and their neighbouring clusters in the embedding space through a progressive linear interpolation (PLI) strategy.

Unsupervised Person Re-Identification

Towards Best Practices for Training Multilingual Dense Retrieval Models

no code implementations5 Apr 2022 Xinyu Zhang, Kelechi Ogueji, Xueguang Ma, Jimmy Lin

Dense retrieval models using a transformer-based bi-encoder design have emerged as an active area of research.

Cross-Lingual Transfer

Generative Pre-Trained Transformers for Biologically Inspired Design

no code implementations31 Mar 2022 Qihao Zhu, Xinyu Zhang, Jianxi Luo

Biological systems in nature have evolved for millions of years to adapt and survive the environment.

Language Modelling

Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering

1 code implementation ACL 2022 Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Lan Luo, Ke Zhan, Enrui Hu, Xinyu Zhang, Hao Jiang, Zhao Cao, Fan Yu, Xin Jiang, Qun Liu, Lei Chen

To alleviate the data scarcity problem in training question answering systems, recent works propose additional intermediate pre-training for dense passage retrieval (DPR).

Open-Domain Question Answering Passage Retrieval

Multi-channel deep convolutional neural networks for multi-classifying thyroid disease

no code implementations6 Mar 2022 Xinyu Zhang, Vincent CS. Lee, Jia Rong, James C. Lee, Jiangning Song, Feng Liu

Therefore, this study proposed a novel multi-channel convolutional neural network (CNN) architecture to address the multi-class classification task of thyroid disease.

Multi-class Classification

KMIR: A Benchmark for Evaluating Knowledge Memorization, Identification and Reasoning Abilities of Language Models

no code implementations28 Feb 2022 Daniel Gao, Yantao Jia, Lei LI, Chengzhen Fu, Zhicheng Dou, Hao Jiang, Xinyu Zhang, Lei Chen, Zhao Cao

However, to figure out whether PLMs can be reliable knowledge sources and used as alternative knowledge bases (KBs), we need to further explore some critical features of PLMs.

Model Compression

Training Deep Neural Networks with Joint Quantization and Pruning of Weights and Activations

2 code implementations15 Oct 2021 Xinyu Zhang, Ian Colbert, Ken Kreutz-Delgado, Srinjoy Das

State-of-the-art quantization techniques are currently applied to both the weights and activations; however, pruning is most often applied to only the weights of the network.

Network Pruning Quantization

Towards More Effective and Economic Sparsely-Activated Model

no code implementations14 Oct 2021 Hao Jiang, Ke Zhan, Jianwei Qu, Yongkang Wu, Zhaoye Fei, Xinyu Zhang, Lei Chen, Zhicheng Dou, Xipeng Qiu, Zikai Guo, Ruofei Lai, Jiawen Wu, Enrui Hu, Yinxia Zhang, Yantao Jia, Fan Yu, Zhao Cao

To increase the number of activated experts without an increase in computational cost, we propose SAM (Switch and Mixture) routing, an efficient hierarchical routing mechanism that activates multiple experts in a same device (GPU).

Towards Efficient NLP: A Standard Evaluation and A Strong Baseline

1 code implementation13 Oct 2021 Xiangyang Liu, Tianxiang Sun, Junliang He, Jiawen Wu, Lingling Wu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu

ELUE is dedicated to depict the Pareto Frontier for various language understanding tasks, such that it can tell whether and how much a method achieves Pareto improvement.

Tuning Confidence Bound for Stochastic Bandits with Bandit Distance

no code implementations6 Oct 2021 Xinyu Zhang, Srinjoy Das, Ken Kreutz-Delgado

We propose a novel modification of the standard upper confidence bound (UCB) method for the stochastic multi-armed bandit (MAB) problem which tunes the confidence bound of a given bandit based on its distance to others.

YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker

no code implementations14 Sep 2021 Ruizhi Pu, Xinyu Zhang, Ruofei Lai, Zikai Guo, Yinxia Zhang, Hao Jiang, Yongkang Wu, Yantao Jia, Zhicheng Dou, Zhao Cao

Finally, supervisory signal in rear compressor is computed based on condition probability and thus can control sample dynamic and further enhance the model performance.

Document Ranking Information Retrieval

Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking

1 code implementation24 Aug 2021 Yutao Zhu, Jian-Yun Nie, Zhicheng Dou, Zhengyi Ma, Xinyu Zhang, Pan Du, Xiaochen Zuo, Hao Jiang

To learn a more robust representation of the user behavior sequence, we propose a method based on contrastive learning, which takes into account the possible variations in user's behavior sequences.

Contrastive Learning Data Augmentation +1

Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need

1 code implementation20 Aug 2021 Zhengyi Ma, Zhicheng Dou, Wei Xu, Xinyu Zhang, Hao Jiang, Zhao Cao, Ji-Rong Wen

In this paper, we propose to leverage the large-scale hyperlinks and anchor texts to pre-train the language model for ad-hoc retrieval.

Language Modelling

Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval

1 code implementation EMNLP (MRL) 2021 Xinyu Zhang, Xueguang Ma, Peng Shi, Jimmy Lin

We present Mr. TyDi, a multi-lingual benchmark dataset for mono-lingual retrieval in eleven typologically diverse languages, designed to evaluate ranking with learned dense representations.

Representation Learning

Answer Complex Questions: Path Ranker Is All You Need

1 code implementation Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval 2021 Xinyu Zhang, Ke Zhan, Enrui Hu, Chengzhen Fu, Lan Luo, Hao Jiang, Yantao Jia, Fan Yu, Zhicheng Dou, Zhao Cao, Lei Chen

Currently, the most popular method for open-domain Question Answering (QA) adopts "Retriever and Reader" pipeline, where the retriever extracts a list of candidate documents from a large set of documents followed by a ranker to rank the most relevant documents and the reader extracts answer from the candidates.

Open-Domain Question Answering

Robust Multimodal Vehicle Detection in Foggy Weather Using Complementary Lidar and Radar Signals

1 code implementation CVPR 2021 Kun Qian, Shilin Zhu, Xinyu Zhang, Li Erran Li

Vehicle detection with visual sensors like lidar and camera is one of the critical functions enabling autonomous driving.

Autonomous Driving

IPS300+: a Challenging Multimodal Dataset for Intersection Perception System

no code implementations5 Jun 2021 Huanan Wang, Xinyu Zhang, Jun Li, Zhiwei Li, Lei Yang, Shuyue Pan, Yongqiang Deng

Through an IPS (Intersection Perception System) installed at the diagonal of the intersection, this paper proposes a high-quality multimodal dataset for the intersection perception task.

Frame

Early Exiting with Ensemble Internal Classifiers

no code implementations28 May 2021 Tianxiang Sun, Yunhua Zhou, Xiangyang Liu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu

In this paper, we show that a novel objective function for the training of the ensemble internal classifiers can be naturally induced from the perspective of ensemble learning and information theory.

Ensemble Learning

Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator

no code implementations18 May 2021 Hao Jiang, Yutao Zhu, Xinyu Zhang, Zhicheng Dou, Pan Du, Te Pi, Yantao Jia

Then we propose a dual encoder-decoder structure to model the generation of responses in both positive and negative side based on the changes of the user's emotion status in the conversation.

GCN-MIF: Graph Convolutional Network with Multi-Information Fusion for Low-dose CT Denoising

2 code implementations15 May 2021 Kecheng Chen, Jiayu Sun, Jiang Shen, Jixiang Luo, Xinyu Zhang, Xuelin Pan, Dongsheng Wu, Yue Zhao, Miguel Bento, Yazhou Ren, Xiaorong Pu

To address this issue, we propose a novel graph convolutional network-based LDCT denoising model, namely GCN-MIF, to explicitly perform multi-information fusion for denoising purpose.

Denoising

Lite-FPN for Keypoint-based Monocular 3D Object Detection

1 code implementation1 May 2021 Lei Yang, Xinyu Zhang, Li Wang, Minghan Zhu, Jun Li

3D object detection with a single image is an essential and challenging task for autonomous driving.

Autonomous Driving Frame +1

A novel multimodal fusion network based on a joint coding model for lane line segmentation

no code implementations20 Mar 2021 Zhenhong Zou, Xinyu Zhang, Huaping Liu, Zhiwei Li, Amir Hussain, Jun Li

There has recently been growing interest in utilizing multimodal sensors to achieve robust lane line segmentation.

S-AT GCN: Spatial-Attention Graph Convolution Network based Feature Enhancement for 3D Object Detection

1 code implementation15 Mar 2021 Li Wang, Chenfei Wang, Xinyu Zhang, Tianwei Lan, Jun Li

3D object detection plays a crucial role in environmental perception for autonomous vehicles, which is the prerequisite of decision and control.

3D Object Detection Autonomous Vehicles

Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation

1 code implementation CVPR 2021 Bin Yan, Xinyu Zhang, Dong Wang, Huchuan Lu, Xiaoyun Yang

Many recent trackers adopt the multiple-stage tracking strategy to improve the quality of bounding box estimation.

Visual Object Tracking

Peer-to-Peer Localization for Single-Antenna Devices

no code implementations10 Dec 2020 Xianan Zhang, Wei Wang, Xuedou Xiao, Hang Yang, Xinyu Zhang, Tao Jiang

In this paper, we present P2PLocate, a peer-to-peer localization system that enables a single-antenna device co-located with a batteryless backscatter tag to localize another single-antenna device with decimeter-level accuracy.

Indoor Localization TAG

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