Search Results for author: Ming Li

Found 139 papers, 33 papers with code

Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering

1 code implementation Findings (EMNLP) 2021 Minghan Li, Ming Li, Kun Xiong, Jimmy Lin

Our method reaches state-of-the-art performance on 5 benchmark QA datasets, with up to 10% improvement in top-100 accuracy compared to a joint-training multi-task DPR on SQuAD.

Open-Domain Question Answering

Unsupervised Chunking as Syntactic Structure Induction with a Knowledge-Transfer Approach

no code implementations Findings (EMNLP) 2021 Anup Anand Deshmukh, Qianqiu Zhang, Ming Li, Jimmy Lin, Lili Mou

In this paper, we address unsupervised chunking as a new task of syntactic structure induction, which is helpful for understanding the linguistic structures of human languages as well as processing low-resource languages.

Chunking Transfer Learning

When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning

1 code implementation27 Jun 2022 Haoyi Niu, Shubham Sharma, Yiwen Qiu, Ming Li, Guyue Zhou, Jianming Hu, Xianyuan Zhan

This brings up a new question: is it possible to combine learning from limited real data in offline RL and unrestricted exploration through imperfect simulators in online RL to address the drawbacks of both approaches?

Offline RL reinforcement-learning

Few-Shot Non-Parametric Learning with Deep Latent Variable Model

no code implementations23 Jun 2022 Zhiying Jiang, Yiqin Dai, Ji Xin, Ming Li, Jimmy Lin

Most real-world problems that machine learning algorithms are expected to solve face the situation with 1) unknown data distribution; 2) little domain-specific knowledge; and 3) datasets with limited annotation.

Classification Image Classification

Parallel Pre-trained Transformers (PPT) for Synthetic Data-based Instance Segmentation

no code implementations22 Jun 2022 Ming Li, Jie Wu, Jinhang Cai, Jie Qin, Yuxi Ren, Xuefeng Xiao, Min Zheng, Rui Wang, Xin Pan

Recently, Synthetic data-based Instance Segmentation has become an exceedingly favorable optimization paradigm since it leverages simulation rendering and physics to generate high-quality image-annotation pairs.

Instance Segmentation Semantic Segmentation

Integrated Sensing and Communication with Reconfigurable Intelligent Surfaces: Opportunities, Applications, and Future Directions

no code implementations17 Jun 2022 Rang Liu, Ming Li, Honghao Luo, Qian Liu, A. Lee Swindlehurst

Integrated sensing and communication (ISAC) is emerging as a key enabler to address the growing spectrum congestion problem and satisfy increasing demands for ubiquitous sensing and communication.

Simultaneous Speech Extraction for Multiple Target Speakers under the Meeting Scenarios(V1)

no code implementations17 Jun 2022 Bang Zeng, Weiqing Wang, Yuanyuan Bao, Ming Li

Recently, the target speech separation or extraction techniques under the meeting scenario have become a hot research trend.

Action Detection Activity Detection +2

Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus

no code implementations15 Jun 2022 Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R Hancock

To alleviate the challenges of building Knowledge Graphs (KG) from scratch, a more general task is to enrich a KG using triples from an open corpus, where the obtained triples contain noisy entities and relations.

Event Extraction Knowledge Graphs

Embedding Graphs on Grassmann Manifold

1 code implementation30 May 2022 Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao

Learning efficient graph representation is the key to favorably addressing downstream tasks on graphs, such as node or graph property prediction.

Graph Embedding Graph Property Prediction +1

MealRec: A Meal Recommendation Dataset

1 code implementation24 May 2022 Ming Li, Lin Li, Qing Xie, Jingling Yuan, Xiaohui Tao

A publicly available dataset specialising in meal recommendation research for the research community is in urgent demand.

Recommendation Systems

IRS-assisted Multi-cell Multi-band Systems: Practical Reflection Model and Joint Beamforming Design

no code implementations13 Apr 2022 Wenhao Cai, Rang Liu, Ming Li, Yang Liu, Qingqing Wu, Qian Liu

Intelligent reflecting surface (IRS) has been regarded as a promising and revolutionary technology for future wireless communication systems owing to its capability of tailoring signal propagation environment in an energy/spectrum/hardware-efficient manner.

Joint Beamforming and Reflection Design for RIS-assisted ISAC Systems

no code implementations1 Mar 2022 Rang Liu, Ming Li, A. Lee Swindlehurst

In this paper, we investigate the potential of employing reconfigurable intelligent surface (RIS) in integrated sensing and communication (ISAC) systems.

Fully-integrated multipurpose microwave frequency identification system on a single chip

no code implementations17 Feb 2022 Yuhan Yao, Yuhe Zhao, Yanxian Wei, Feng Zhou, Daigao Chen, Yuguang Zhang, Xi Xiao, Ming Li, Jianji Dong, Shaohua Yu, Xinliang Zhang

We demonstrate a fully-integrated multipurpose microwave frequency identification system on silicon-on-insulator platform.

Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels

no code implementations11 Feb 2022 Ming Li, Yingying Fang, Zeyu Tang, Chibudom Onuorah, Jun Xia, Javier Del Ser, Simon Walsh, Guang Yang

We demonstrate the effectiveness of our model with the combination of limited labelled data and sufficient unlabelled data or weakly-labelled data.

Computed Tomography (CT) Decision Making

Invertible Voice Conversion

no code implementations26 Jan 2022 Zexin Cai, Ming Li

In this paper, we propose an invertible deep learning framework called INVVC for voice conversion.

Voice Conversion

pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network Testing

no code implementations23 Jan 2022 Jiasi Weng, Jian Weng, Gui Tang, Anjia Yang, Ming Li, Jia-Nan Liu

First, a CNN model to be tested is strategically partitioned into a private part kept locally by the model developer, and a public part outsourced to an outside server.

Privacy Preserving

CaFT: Clustering and Filter on Tokens of Transformer for Weakly Supervised Object Localization

no code implementations3 Jan 2022 Ming Li

Therefore, we propose Clustering and Filter of Tokens (CaFT) with Vision Transformer (ViT) backbone to solve this problem in another way.

Weakly-Supervised Object Localization

MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios

no code implementations27 Dec 2021 Xiaofeng Pan, Ming Li, Jing Zhang, Keren Yu, Luping Wang, Hong Wen, Chengjun Mao, Bo Cao

At last, we develop an Ensemble Prediction Network (EPN) which incorporates the output of FRN and DMN to make the final CVR prediction.


Joint Transmit Waveform and Passive Beamforming Design for RIS-Aided DFRC Systems

no code implementations16 Dec 2021 Rang Liu, Ming Li, Yang Liu, Qingqing Wu, Qian Liu

Reconfigurable intelligent surface (RIS) is a promising technology for 6G networks owing to its superior ability to enhance the capacity and coverage of wireless communications by smartly creating a favorable propagation environment.

Low-Latency Online Speaker Diarization with Graph-Based Label Generation

no code implementations27 Nov 2021 Yucong Zhang, Qinjian Lin, Weiqing Wang, Lin Yang, Xuyang Wang, Junjie Wang, Ming Li

To ensure the low latency in the online setting, we introduce a variant of AHC, namely chkpt-AHC, to cluster the speakers.

Speaker Diarization

Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming

no code implementations20 Nov 2021 Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li

To overcome the aforementioned problems, in light of the recent advancements in graph contrastive learning, we introduce a novel self-supervised graph representation learning algorithm via Graph Contrastive Adjusted Zooming, namely G-Zoom, to learn node representations by leveraging the proposed adjusted zooming scheme.

Contrastive Learning Graph Representation Learning +1

PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy

no code implementations22 Oct 2021 Xiaolan Gu, Ming Li, Li Xiong

In this paper, we develop a framework called PRECAD, which simultaneously achieves differential privacy (DP) and enhances robustness against model poisoning attacks with the help of cryptography.

Federated Learning Model Poisoning +1

The Sigma-Max System Induced from Randomness and Fuzziness

no code implementations12 Oct 2021 Wei Mei, Ming Li, Yuanzeng Cheng, Limin Liu

This paper managed to induce probability theory (sigma system) and possibility theory (max system) respectively from randomness and fuzziness, through which the premature theory of possibility is expected to be well founded.

Automatic annotation of visual deep neural networks

no code implementations8 Oct 2021 Ming Li, Chenhao Guo

Computer vision is widely used in the fields of driverless, face recognition and 3D reconstruction as a technology to help or replace human eye perception images or multidimensional data through computers.

3D Reconstruction Computer Vision +2

A Time-Varying Endogenous Random Coefficient Model with an Application to Production Functions

no code implementations3 Oct 2021 Ming Li

This paper proposes a random coefficient panel model where the regressors are correlated with the time-varying random coefficients in each period, a critical feature in many economic applications.

A Next Basket Recommendation Reality Check

no code implementations29 Sep 2021 Ming Li, Sami Jullien, Mozhdeh Ariannezhad, Maarten de Rijke

We propose a set of metrics that measure the repeat/explore ratio and performance of NBR models.

Next-basket recommendation

Two Birds, One Stone: Achieving both Differential Privacy and Certified Robustness for Pre-trained Classifiers via Input Perturbation

no code implementations29 Sep 2021 Pengfei Tang, Wenjie Wang, Xiaolan Gu, Jian Lou, Li Xiong, Ming Li

To solve this challenge, a reconstruction network is built before the public pre-trained classifiers to offer certified robustness and defend against adversarial examples through input perturbation.

Image Classification

The DKU-DukeECE System for the Self-Supervision Speaker Verification Task of the 2021 VoxCeleb Speaker Recognition Challenge

no code implementations7 Sep 2021 Danwei Cai, Ming Li

Taking advantage of DNN's ability to learn from data with label noise, we propose to cluster the speaker embedding obtained from the previous speaker network and use the subsequent class assignments as pseudo labels to train a new DNN.

Representation Learning Speaker Recognition +1

Dual-Functional Radar-Communication Waveform Design: A Symbol-Level Precoding Approach

no code implementations11 Aug 2021 Rang Liu, Ming Li, Qian Liu, A. Lee Swindlehurst

In this paper, we consider multi-input multi-output (MIMO) DFRC systems and focus on transmit beamforming designs to provide both radar sensing and multi-user communications.

Reflection and Relay Dual-Functional RIS Assisted MU-MISO Systems

no code implementations24 Jul 2021 Yanan Ma, Rang Liu, Yang Liu, Ming Li, Qian Liu

Reconfigurable intelligent surfaces (RISs) have been deemed as one of potential components of future wireless communication systems because they can adaptively manipulate the wireless propagation environment with low-cost passive devices.

A Data-Driven Method for Recognizing Automated Negotiation Strategies

no code implementations3 Jul 2021 Ming Li, Pradeep K. Murukannaiah, Catholijn M. Jonker

Our approach includes a data generation method for an agent to generate domain-independent sequences by negotiating with a variety of opponents across domains, a feature engineering method for representing negotiation data as time series with time-step features and overall features, and a hybrid (recurrent neural network-based) deep learning method for recognizing an opponent's strategy from the time series of bids.

Feature Engineering Time Series

BS-RIS-User Association and Beamforming Designs for RIS-aided Cellular Networks

no code implementations27 Jun 2021 Sifan Liu, Pengfei Ni, Rang Liu, Yang Liu, Ming Li, Qian Liu

During the dynamical access process, an iterative algorithm is proposed to alternatively obtain the active and passive beamforming.

A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification

no code implementations11 May 2021 Wenkai Liang, Yan Wu, Ming Li, Peng Zhang, Yice Cao, Xin Hu

To address this problem, a novel end-to-end supervised classification method is proposed for HR SAR images by considering both spatial context and statistical features.

Image Classification

Building Bilingual and Code-Switched Voice Conversion with Limited Training Data Using Embedding Consistency Loss

1 code implementation22 Apr 2021 Yaogen Yang, Haozhe Zhang, Xiaoyi Qin, Shanshan Liang, Huahua Cui, Mingyang Xu, Ming Li

We achieve cross-lingual VC between Mandarin speech with multiple speakers and English speech with multiple speakers by applying bilingual bottleneck features.

Voice Conversion

End-to-End Mandarin Tone Classification with Short Term Context Information

no code implementations12 Apr 2021 Jiyang Tang, Ming Li

In this paper, we propose an end-to-end Mandarin tone classification method from continuous speech utterances utilizing both the spectrogram and the short-term context information as the input.

General Classification

Binary Neural Network for Speaker Verification

no code implementations6 Apr 2021 Tinglong Zhu, Xiaoyi Qin, Ming Li

Although deep neural networks are successful for many tasks in the speech domain, the high computational and memory costs of deep neural networks make it difficult to directly deploy highperformance Neural Network systems on low-resource embedded devices.

Binarization Quantization +1

Grassmann Graph Embedding

no code implementations ICLR Workshop GTRL 2021 Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao

Geometric deep learning that employs the geometric and topological features of data has attracted increasing attention in deep neural networks.

Dimensionality Reduction Graph Embedding

How Framelets Enhance Graph Neural Networks

1 code implementation13 Feb 2021 Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yu Guang Wang, Pietro Lio, Ming Li, Guido Montufar

The graph neural networks with the proposed framelet convolution and pooling achieve state-of-the-art performance in many node and graph prediction tasks.


First Saturation Correction in High Energy Proton-Nucleus Collisions: I. Time evolution of classical Yang-Mills fields beyond leading order

no code implementations2 Feb 2021 Ming Li, Vladimir V. Skokov

This paper is the first in a series of papers towards analytically completing the first saturation correction to physical observables in high energy proton-nucleus collisions.

High Energy Physics - Phenomenology Nuclear Theory

Intelligent reflecting surface assisted multi-cell multi-band wireless networks

no code implementations5 Jan 2021 Wenhao Cai, Rang Liu, Yang Liu, Ming Li, Qian Liu

Therefore, the practical phase shift model, which can describe the difference of IRS phase shift responses for the signals with different frequencies, should be utilized in the IRS optimization for wideband and multi-band systems.

Self-Supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond

no code implementations ICCV 2021 Ming Li, Xinming Huang, Ziming Zhang

To learn distinguishable patterns, most of recent works in vehicle re-identification (ReID) struggled to redevelop official benchmarks to provide various supervisions, which requires prohibitive human labors.

Representation Learning Self-Supervised Learning +1

Channel Estimation for Practical IRS-Assisted OFDM Systems

no code implementations25 Dec 2020 Wanning Yang, Hongyu Li, Ming Li, Yang Liu, Qian Liu

Different from the prior works which assume that IRS has an ideal reflection model, we perform channel estimation by considering amplitude-phase shift-frequency relationship for the response of practical IRS.

A Unified Deep Speaker Embedding Framework for Mixed-Bandwidth Speech Data

no code implementations1 Dec 2020 Weicheng Cai, Ming Li

This paper proposes a unified deep speaker embedding framework for modeling speech data with different sampling rates.

Bandwidth Extension Image Classification

Intelligent Reflecting Surface Aided MISO Uplink Communication Network: Feasibility and Power Minimization for Perfect and Imperfect CSI

no code implementations22 Nov 2020 Yang Liu, Jun Zhao, Ming Li, Qingqing Wu

In this paper, we consider the weighted sum-power minimization under quality-of-service (QoS) constraints in the multi-user multi-input-single-output (MISO) uplink wireless network assisted by intelligent reflecting surface (IRS).

Training Wake Word Detection with Synthesized Speech Data on Confusion Words

no code implementations3 Nov 2020 Yan Jia, Zexin Cai, Murong Ma, Zeqing Zhao, Xuyang Wang, Junjie Wang, Ming Li

Confusing-words are commonly encountered in real-life keyword spotting applications, which causes severe degradation of performance due to complex spoken terms and various kinds of words that sound similar to the predefined keywords.

Data Augmentation Keyword Spotting +1

Discovering Discriminative Geometric Features with Self-Supervised Attention for Vehicle Re-Identification and Beyond

no code implementations19 Oct 2020 Ming Li, Xinming Huang, Ziming Zhang

Specifically, we implement an end-to-end trainable deep network architecture consisting of three branches: (1) a global branch as backbone for image feature extraction, (2) an attentional branch for producing attention masks, and (3) a self-supervised branch for regularizing the attention learning with rotated images to locate geometric features.

Representation Learning Self-Supervised Learning +2

PointIso: Point Cloud Based Deep Learning Model for Detecting Arbitrary-Precision Peptide Features in LC-MS Map through Attention Based Segmentation

1 code implementation15 Sep 2020 Fatema Tuz Zohora, M Ziaur Rahman, Ngoc Hieu Tran, Lei Xin, Baozhen Shan, Ming Li

A promising technique of discovering disease biomarkers is to measure the relative protein abundance in multiple biofluid samples through liquid chromatography with tandem mass spectrometry (LC-MS/MS) based quantitative proteomics.

Temporal optical neurons for serial deep learning

no code implementations4 Sep 2020 Zhixing Lin, Shuqian Sun, Jose Azana, Wei Li, Ninghua Zhu, Ming Li

This concept represents a novel one-dimensional realization of artificial neural networks, enabling an efficient application of optical deep learning methods to the analysis and processing of serial data signals, while offering a new overall perspective for the temporal signal processing.

LodoNet: A Deep Neural Network with 2D Keypoint Matchingfor 3D LiDAR Odometry Estimation

no code implementations1 Sep 2020 Ce Zheng, Yecheng Lyu, Ming Li, Ziming Zhang

Deep learning based LiDAR odometry (LO) estimation attracts increasing research interests in the field of autonomous driving and robotics.

Autonomous Driving

Don't Change Me! User-Controllable Selective Paraphrase Generation

no code implementations EACL 2021 Mohan Zhang, Luchen Tan, Zhengkai Tu, Zihang Fu, Kun Xiong, Ming Li, Jimmy Lin

The contribution of this work is a novel data generation technique using distant supervision that allows us to start with a pretrained sequence-to-sequence model and fine-tune a paraphrase generator that exhibits this behavior, allowing user-controllable paraphrase generation.

Paraphrase Generation

On the Approximation Lower Bound for Neural Nets with Random Weights

no code implementations19 Aug 2020 Sho Sonoda, Ming Li, Feilong Cao, Changqin Huang, Yu Guang Wang

A random net is a shallow neural network where the hidden layer is frozen with random assignment and the output layer is trained by convex optimization.

Learning Theory

Synergy between Machine/Deep Learning and Software Engineering: How Far Are We?

no code implementations12 Aug 2020 Simin Wang, LiGuo Huang, Jidong Ge, Tengfei Zhang, Haitao Feng, Ming Li, He Zhang, Vincent Ng

To improve the applicability and generalizability of research results, we analyzed what ingredients in a study would facilitate an understanding of why a ML/DL technique was selected for a specific SE problem.

Mask Detection and Breath Monitoring from Speech: on Data Augmentation, Feature Representation and Modeling

no code implementations12 Aug 2020 Haiwei Wu, Lin Zhang, Lin Yang, Xuyang Wang, Jun-Jie Wang, Dong Zhang, Ming Li

This paper introduces our approaches for the Mask and Breathing Sub-Challenge in the Interspeech COMPARE Challenge 2020.

Data Augmentation

Intelligent Reflecting Surface based Passive Information Transmission: A Symbol-Level Precoding Approach

no code implementations29 Jul 2020 Rang Liu, Ming Li, Qian Liu, A. Lee Swindlehurst, Qingqing Wu

Intelligent reflecting surfaces (IRS) have been proposed as a revolutionary technology owing to its capability of adaptively reconfiguring the propagation environment in a cost-effective and hardware-efficient fashion.

Intelligent reflecting surface enhanced wideband MIMO-OFDM communications: From practical model to reflection optimization

no code implementations26 Jul 2020 Hongyu Li, Wenhao Cai, Yang Liu, Ming Li, Qian Liu, Qingqing Wu

Simulation results demonstrate that the proposed algorithm can offer significant average sum-rate enhancement compared to that achieved using the ideal IRS reflection model, which confirms the importance of the use of the practical model for the design of wideband systems.

MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph Representation and Learning

no code implementations22 Jul 2020 Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao

In this paper, we propose a framework for graph neural networks with multiresolution Haar-like wavelets, or MathNet, with interrelated convolution and pooling strategies.

Graph Classification

Demo: iJam with Channel Randomization

no code implementations7 Jul 2020 Jordan L. Melcher, Yao Zheng, Dylan Anthony, Matthew Troglia, Yanjun Pan, Ming Li, Thomas Yang, Alvin Yang, Samson Aggelopoulos

Their secrecy rate (bit generation rate) depends heavily on the randomness of the channel, which may reduce significantly in a stable environment.

Intelligent Reflecting Surface Aided MISO Uplink Communication Network: Feasibility and Power Minimization for Perfect and Imperfect CSI

no code implementations3 Jul 2020 Yang Liu, Jun Zhao, Ming Li, Qingqing Wu

In this paper, we consider the weighted sum-power minimization under quality-of-service (QoS) constraints in the multi-user multi-input-single-output (MISO) uplink wireless network assisted by intelligent reflecting surface (IRS).

Path Integral Based Convolution and Pooling for Graph Neural Networks

1 code implementation NeurIPS 2020 Zheng Ma, Junyu Xuan, Yu Guang Wang, Ming Li, Pietro Lio

Borrowing ideas from physics, we propose a path integral based graph neural networks (PAN) for classification and regression tasks on graphs.

Graph Classification Graph Regression

Learning to Utilize Correlated Auxiliary Noise: A Possible Quantum Advantage

no code implementations8 Jun 2020 Aida Ahmadzadegan, Petar Simidzija, Ming Li, Achim Kempf

In effect, the network learns to use the correlated auxiliary noise as an approximate key to decipher its noisy input data.

Image Classification

Practical Modeling and Beamforming for Intelligent Reflecting Surface Aided Wideband Systems

no code implementations2 Jun 2020 Wenhao Cai, Hongyu Li, Ming Li, Qian Liu

In this letter, we aim to investigate the phase-amplitude-frequency relationship of the reflected signals and propose a practical model of reflection coefficient for an IRS-aided wideband system.

Acoustic Word Embedding System for Code-Switching Query-by-example Spoken Term Detection

no code implementations24 May 2020 Murong Ma, Haiwei Wu, Xuyang Wang, Lin Yang, Jun-Jie Wang, Ming Li

In this paper, we propose a deep convolutional neural network-based acoustic word embedding system on code-switching query by example spoken term detection.

Word Embeddings

Cross-lingual Multispeaker Text-to-Speech under Limited-Data Scenario

no code implementations21 May 2020 Zexin Cai, Yaogen Yang, Ming Li

In addition, we investigate the model's performance on the cross-lingual synthesis, with and without a bilingual dataset during training.

Speech Synthesis

From Speaker Verification to Multispeaker Speech Synthesis, Deep Transfer with Feedback Constraint

1 code implementation10 May 2020 Zexin Cai, Chuxiong Zhang, Ming Li

The constraint is taken by an added loss related to the speaker identity, which is centralized to improve the speaker similarity between the synthesized speech and its natural reference audio.

Speaker Verification Speech Synthesis +1

MV-RAN: Multiview recurrent aggregation network for echocardiographic sequences segmentation and full cardiac cycle analysis

no code implementations1 May 2020 Ming Li, Chengjia Wang, Heye Zhang, Guang Yang

In addition, for a better interpretation of pathophysiological processes, clinical decision-making and prognosis, such cardiac anatomy segmentation and quantitative analysis of various clinical indices should ideally be performed for the data covering the full cardiac cycle.

Decision Making

Segatron: Segment-Aware Transformer for Language Modeling and Understanding

1 code implementation30 Apr 2020 He Bai, Peng Shi, Jimmy Lin, Yuqing Xie, Luchen Tan, Kun Xiong, Wen Gao, Ming Li

To verify this, we propose a segment-aware Transformer (Segatron), by replacing the original token position encoding with a combined position encoding of paragraph, sentence, and token.

Language Modelling Masked Language Modeling +1

Resource-Optimized Fermionic Local-Hamiltonian Simulation on Quantum Computer for Quantum Chemistry

no code implementations8 Apr 2020 Qingfeng Wang, Ming Li, Christopher Monroe, Yunseong Nam

This framework, based on perturbation theory, is capable of improving the energy estimate at each cycle of the VQE progression, by about a factor of three closer to the known ground-state energy compared to the standard VQE approach in the test-bed, classically-accessible system of the water molecule.

Quantum Physics Emerging Technologies

DIHARD II is Still Hard: Experimental Results and Discussions from the DKU-LENOVO Team

no code implementations23 Feb 2020 Qingjian Lin, Weicheng Cai, Lin Yang, Jun-Jie Wang, Jun Zhang, Ming Li

Our diarization system includes multiple modules, namely voice activity detection (VAD), segmentation, speaker embedding extraction, similarity scoring, clustering, resegmentation and overlap detection.

Action Detection Activity Detection

Wireless Federated Learning with Local Differential Privacy

no code implementations12 Feb 2020 Mohamed Seif, Ravi Tandon, Ming Li

In this paper, we study the problem of federated learning (FL) over a wireless channel, modeled by a Gaussian multiple access channel (MAC), subject to local differential privacy (LDP) constraints.

Cryptography and Security Information Theory Information Theory

Diversity-Achieving Slow-DropBlock Network for Person Re-Identification

no code implementations9 Feb 2020 Xiaofu Wu, Ben Xie, Shiliang Zhao, Suofei Zhang, Yong Xiao, Ming Li

In particular, we show that the feature diversity can be well achieved with the use of multiple dropping branches by setting individual dropping ratio for each branch.

Person Re-Identification

GhostImage: Remote Perception Attacks against Camera-based Image Classification Systems

1 code implementation21 Jan 2020 Yanmao Man, Ming Li, Ryan Gerdes

In vision-based object classification systems imaging sensors perceive the environment and machine learning is then used to detect and classify objects for decision-making purposes; e. g., to maneuver an automated vehicle around an obstacle or to raise an alarm to indicate the presence of an intruder in surveillance settings.

Autonomous Driving Decision Making +2

Logical Differencing in Dyadic Network Formation Models with Nontransferable Utilities

no code implementations3 Jan 2020 Wayne Yuan Gao, Ming Li, Sheng Xu

This paper considers a semiparametric model of dyadic network formation under nontransferable utilities (NTU).

RWF-2000: An Open Large Scale Video Database for Violence Detection

1 code implementation14 Nov 2019 Ming Cheng, Kunjing Cai, Ming Li

In recent years, surveillance cameras are widely deployed in public places, and the general crime rate has been reduced significantly due to these ubiquitous devices.

Action Classification Action Recognition

Variational Quantum Algorithms for Dimensionality Reduction and Classification

no code implementations27 Oct 2019 Jin-Min Liang, Shu-Qian Shen, Ming Li, Lei LI

In this work, we present a quantum neighborhood preserving embedding and a quantum local discriminant embedding for dimensionality reduction and classification.

Classification Dimensionality Reduction +1

Parameter-Transferred Wasserstein Generative Adversarial Network (PT-WGAN) for Low-Dose PET Image Denoising

1 code implementation13 Oct 2019 Yu Gong, Hongming Shan, Yueyang Teng, Ning Tu, Ming Li, Guodong Liang, Ge Wang, Shan-Shan Wang

The contributions of this paper are twofold: i) a PT-WGAN framework is designed to denoise low-dose PET images without compromising structural details, and ii) a task-specific initialization based on transfer learning is developed to train PT-WGAN using trainable parameters transferred from a pretrained model, which significantly improves the training efficiency of PT-WGAN.

Image Denoising Transfer Learning

HaarPooling: Graph Pooling with Compressive Haar Basis

no code implementations25 Sep 2019 Yu Guang Wang, Ming Li, Zheng Ma, Guido Montufar, Xiaosheng Zhuang, Yanan Fan

The input of each pooling layer is transformed by the compressive Haar basis of the corresponding clustering.

Graph Classification

Haar Graph Pooling

1 code implementation ICML 2020 Yu Guang Wang, Ming Li, Zheng Ma, Guido Montufar, Xiaosheng Zhuang, Yanan Fan

Deep Graph Neural Networks (GNNs) are useful models for graph classification and graph-based regression tasks.

General Classification Graph Classification

Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data

1 code implementation ACL 2020 Hamidreza Shahidi, Ming Li, Jimmy Lin

We consider neural table-to-text generation and neural question generation (NQG) tasks for text generation from structured and unstructured data, respectively.

Question Generation Table-to-Text Generation

Sams-Net: A Sliced Attention-based Neural Network for Music Source Separation

1 code implementation12 Sep 2019 Tingle Li, Jia-Wei Chen, Haowen Hou, Ming Li

Convolutional Neural Network (CNN) or Long short-term memory (LSTM) based models with the input of spectrogram or waveforms are commonly used for deep learning based audio source separation.

Audio Source Separation Music Source Separation

Symbol-Level Precoding Design for Intelligent Reflecting Surface Assisted Multi-user MIMO Systems

no code implementations3 Sep 2019 Rang Liu, Hongyu Li, Ming Li, Qian Liu

In this paper we investigate the problem of precoder design for a low-resolution IRS-based transmitter to implement multi-user MISO/MIMO wireless communications.


End-to-End Neural Context Reconstruction in Chinese Dialogue

no code implementations WS 2019 Wei Yang, Rui Qiao, Haocheng Qin, Amy Sun, Luchen Tan, Kun Xiong, Ming Li

We tackle the problem of context reconstruction in Chinese dialogue, where the task is to replace pronouns, zero pronouns, and other referring expressions with their referent nouns so that sentences can be processed in isolation without context.

Coreference Resolution POS +1

FaVeST: Fast Vector Spherical Harmonic Transforms

2 code implementations31 Jul 2019 Quoc T. Le Gia, Ming Li, Yu Guang Wang

The forward FaVeST evaluates the Fourier coefficients and has a computational cost proportional to $N\log \sqrt{N}$ for $N$ number of evaluation points.

Numerical Analysis Computational Complexity Numerical Analysis 65T50, 37C10, 33C55, 65D30 F.2.1; G.4; G.1.4; G.1.2

LSTM based Similarity Measurement with Spectral Clustering for Speaker Diarization

1 code implementation23 Jul 2019 Qingjian Lin, Ruiqing Yin, Ming Li, Hervé Bredin, Claude Barras

More and more neural network approaches have achieved considerable improvement upon submodules of speaker diarization system, including speaker change detection and segment-wise speaker embedding extraction.

Change Detection Speaker Diarization

Fast Haar Transforms for Graph Neural Networks

no code implementations10 Jul 2019 Ming Li, Zheng Ma, Yu Guang Wang, Xiaosheng Zhuang

Graph Neural Networks (GNNs) have become a topic of intense research recently due to their powerful capability in high-dimensional classification and regression tasks for graph-structured data.

General Classification Node Classification

Efficient Spatial Anti-Aliasing Rendering for Line Joins on Vector Maps

no code implementations27 Jun 2019 Chaoyang He, Ming Li

The spatial anti-aliasing technique for line joins (intersections of the road segments) on vector maps is exclusively crucial to visual experience and system performance.

Graphics Computational Geometry

Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features

no code implementations NAACL 2019 Wei Yang, Luchen Tan, Chunwei Lu, Anqi Cui, Han Li, Xi Chen, Kun Xiong, Muzi Wang, Ming Li, Jian Pei, Jimmy Lin

Consumers dissatisfied with the normal dispute resolution process provided by an e-commerce company{'}s customer service agents have the option of escalating their complaints by filing grievances with a government authority.

High-Resolution Network for Photorealistic Style Transfer

4 code implementations25 Apr 2019 Ming Li, Chunyang Ye, Wei Li

Photorealistic style transfer aims to transfer the style of one image to another, but preserves the original structure and detail outline of the content image, which makes the content image still look like a real shot after the style transfer.

Image Generation

PAN: Path Integral Based Convolution for Deep Graph Neural Networks

no code implementations24 Apr 2019 Zheng Ma, Ming Li, Yuguang Wang

In this paper, we propose PAN, a new graph convolution framework that involves every path linking the message sender and receiver with learnable weights depending on the path length, which corresponds to the maximal entropy random walk.

Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness

no code implementations22 Apr 2019 Lan-Zhe Guo, Yu-Feng Li, Ming Li, Jin-Feng Yi, Bo-Wen Zhou, Zhi-Hua Zhou

We guide the optimization of label quality through a small amount of validation data, and to ensure the safeness of performance while maximizing performance gain.

DeepNovoV2: Better de novo peptide sequencing with deep learning

1 code implementation17 Apr 2019 Rui Qiao, Ngoc Hieu Tran, Lei Xin, Baozhen Shan, Ming Li, Ali Ghodsi

Personalized cancer vaccines are envisioned as the next generation rational cancer immunotherapy.

Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering

no code implementations14 Apr 2019 Wei Yang, Yuqing Xie, Luchen Tan, Kun Xiong, Ming Li, Jimmy Lin

Recently, a simple combination of passage retrieval using off-the-shelf IR techniques and a BERT reader was found to be very effective for question answering directly on Wikipedia, yielding a large improvement over the previous state of the art on a standard benchmark dataset.

Data Augmentation Open-Domain Question Answering +1

Utterance-level end-to-end language identification using attention-based CNN-BLSTM

no code implementations20 Feb 2019 Weicheng Cai, Danwei Cai, Shen Huang, Ming Li

In this paper, we present an end-to-end language identification framework, the attention-based Convolutional Neural Network-Bidirectional Long-short Term Memory (CNN-BLSTM).

Language Identification

End-to-end Language Identification using NetFV and NetVLAD

1 code implementation9 Sep 2018 Jinkun Chen, Weicheng Cai, Danwei Cai, Zexin Cai, Haibin Zhong, Ming Li

In this paper, we apply the NetFV and NetVLAD layers for the end-to-end language identification task.

Language Identification

Two Dimensional Stochastic Configuration Networks for Image Data Analytics

no code implementations6 Sep 2018 Ming Li, Dianhui Wang

Stochastic configuration networks (SCNs) as a class of randomized learner model have been successfully employed in data analytics due to its universal approximation capability and fast modelling property.

Face Recognition

Text classification based on ensemble extreme learning machine

no code implementations10 May 2018 Ming Li, Peilun Xiao, Ju Zhang

In this paper, we propose a novel approach based on cost-sensitive ensemble weighted extreme learning machine; we call this approach AE1-WELM.

Classification General Classification +1

Hybrid Adaptive Fuzzy Extreme Learning Machine for text classification

no code implementations10 May 2018 Ming Li, Peilun Xiao, Ju Zhang

In traditional ELM and its improved versions suffer from the problems of outliers or noises due to overfitting and imbalance due to distribution.

Classification General Classification +1

Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System

1 code implementation14 Apr 2018 Weicheng Cai, Jinkun Chen, Ming Li

In the end-to-end system, the encoding layer plays a role in aggregating the variable-length input sequence into an utterance level representation.

Speaker Verification

Context-aware Data Aggregation with Localized Information Privacy

no code implementations6 Apr 2018 Bo Jiang, Ming Li, Ravi Tandon

The notion of context-awareness is incorporated in LIP by the introduction of priors, which enables the design of privacy-preserving data aggregation with knowledge of priors.

Privacy Preserving

A Novel Learnable Dictionary Encoding Layer for End-to-End Language Identification

no code implementations2 Apr 2018 Weicheng Cai, Zexin Cai, Xiang Zhang, Xiaoqi Wang, Ming Li

A novel learnable dictionary encoding layer is proposed in this paper for end-to-end language identification.

Language Identification

Insights into End-to-End Learning Scheme for Language Identification

no code implementations2 Apr 2018 Weicheng Cai, Zexin Cai, Wenbo Liu, Xiaoqi Wang, Ming Li

After comparing with the state-of-the-art GMM i-vector methods, we give insights into CNN, and reveal its role and effect in the whole pipeline.

Language Identification

$ρ$-hot Lexicon Embedding-based Two-level LSTM for Sentiment Analysis

1 code implementation21 Mar 2018 Ou Wu, Tao Yang, Mengyang Li, Ming Li

Lexical cues are useful for sentiment analysis, and they have been utilized in conventional studies.

Sentiment Analysis

DeepIso: A Deep Learning Model for Peptide Feature Detection

no code implementations9 Dec 2017 Fatema Tuz Zohora, Ngoc Hieu Tran, Xianglilan Zhang, Lei Xin, Baozhen Shan, Ming Li

In this paper we propose a novel deep learning based model, DeepIso, that uses Convolutional Neural Networks (CNNs) to scan an LC-MS map to detect peptide features and estimate their abundance.

Drug Discovery

Protein identification with deep learning: from abc to xyz

1 code implementation8 Oct 2017 Ngoc Hieu Tran, Zachariah Levine, Lei Xin, Baozhen Shan, Ming Li

We combine two modules de novo sequencing and database search into a single deep learning framework for peptide identification, and integrate de Bruijn graph assembly technique to offer a complete solution to reconstruct protein sequences from tandem mass spectrometry data.

Code Attention: Translating Code to Comments by Exploiting Domain Features

2 code implementations22 Sep 2017 Wenhao Zheng, Hong-Yu Zhou, Ming Li, Jianxin Wu

Appropriate comments of code snippets provide insight for code functionality, which are helpful for program comprehension.

A WL-SPPIM Semantic Model for Document Classification

no code implementations26 May 2017 Ming Li, Peilun Xiao, Ju Zhang

In this paper, we explore SPPIM-based text classification method, and the experiment reveals that the SPPIM method is equal to or even superior than SGNS method in text classification task on three international and standard text datasets, namely 20newsgroups, Reuters52 and WebKB.

Classification Document Classification +1

SphereFace: Deep Hypersphere Embedding for Face Recognition

15 code implementations CVPR 2017 Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song

This paper addresses deep face recognition (FR) problem under open-set protocol, where ideal face features are expected to have smaller maximal intra-class distance than minimal inter-class distance under a suitably chosen metric space.

Face Identification Face Recognition +1

Deep Stochastic Configuration Networks with Universal Approximation Property

no code implementations18 Feb 2017 Dianhui Wang, Ming Li

This paper develops a randomized approach for incrementally building deep neural networks, where a supervisory mechanism is proposed to constrain the random assignment of the weights and biases, and all the hidden layers have direct links to the output layer.

Robust Stochastic Configuration Networks with Kernel Density Estimation

no code implementations15 Feb 2017 Dianhui Wang, Ming Li

The kernel density estimation (KDE) method is employed to set the penalty weights for each training samples, so that some negative impacts, caused by noisy data or outliers, on the resulting learner model can be reduced.

Density Estimation

Stochastic Configuration Networks: Fundamentals and Algorithms

no code implementations10 Feb 2017 Dianhui Wang, Ming Li

This paper contributes to a development of randomized methods for neural networks.

Neural Contextual Conversation Learning with Labeled Question-Answering Pairs

no code implementations20 Jul 2016 Kun Xiong, Anqi Cui, Zefeng Zhang, Ming Li

The novel contextual model generates diverse and robust responses, and is able to carry out conversations on a wide range of topics appropriately.

Question Answering

Simple2Complex: Global Optimization by Gradient Descent

no code implementations2 May 2016 Ming Li

A method named simple2complex for modeling and training deep neural networks is proposed.

Measuring and Discovering Correlations in Large Data Sets

no code implementations7 Jan 2016 Lijue Liu, Ming Li, Sha Wen

In this paper, a class of statistics named ART (the alternant recursive topology statistics) is proposed to measure the properties of correlation between two variables.

The SYSU System for the Interspeech 2015 Automatic Speaker Verification Spoofing and Countermeasures Challenge

no code implementations24 Jul 2015 Shitao Weng, Shushan Chen, Lei Yu, Xuewei Wu, Weicheng Cai, Zhi Liu, Ming Li

In order to detect these spoofed speech signals as a countermeasure, we propose a score level fusion approach with several different i-vector subsystems.

Speaker Verification Speech Synthesis +1

Intelligent Health Recommendation System for Computer Users

no code implementations29 Apr 2015 Qi Guo, Zixuan Wang, Ming Li, Hamid Aghajan

The time people spend in front of computers has been increasing steadily due to the role computers play in modern society.

Normalized Information Distance

1 code implementation15 Sep 2008 Paul M. B. Vitanyi, Frank J. Balbach, Rudi L. Cilibrasi, Ming Li

These practical realizations of the normalized information distance can then be applied to machine learning tasks, expecially clustering, to perform feature-free and parameter-free data mining.

Machine Translation Translation

Semi-Supervised Regression with Co-Training

2 code implementations1 Jun 2005 Zhi-Hua Zhou, Ming Li

In many practical machine learning and data min-ing applications, unlabeled training examples arereadily available but labeled ones are fairly expen-sive to obtain.

The similarity metric

no code implementations20 Nov 2001 Ming Li, Xin Chen, Xin Li, Bin Ma, Paul Vitanyi

A new class of distances appropriate for measuring similarity relations between sequences, say one type of similarity per distance, is studied.

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