Search Results for author: Jin Li

Found 30 papers, 10 papers with code

Neural Points: Point Cloud Representation with Neural Fields

no code implementations8 Dec 2021 Wanquan Feng, Jin Li, Hongrui Cai, Xiaonan Luo, Juyong Zhang

Unlike traditional point cloud representation where each point only represents a position or a local plane in the 3D space, each point in Neural Points represents a local continuous geometric shape via neural fields.

Enhanced Memory Network: The novel network structure for Symbolic Music Generation

1 code implementation7 Oct 2021 Jin Li, Haibin Liu, Nan Yan, Lan Wang

Symbolic melodies generation is one of the essential tasks for automatic music generation.

Music Generation

Understanding Self-supervised Learning via Information Bottleneck Principle

no code implementations29 Sep 2021 Jin Li, Yaoming Wang, Dongsheng Jiang, Xiaopeng Zhang, Wenrui Dai, Hongkai Xiong

To address this issue, we introduce the information bottleneck principle and propose the Self-supervised Variational Information Bottleneck (SVIB) learning framework.

Contrastive Learning Self-Supervised Learning

Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision

1 code implementation3 Sep 2021 Zhong Ji, Jin Li, Qiang Wang, Zhongfei Zhang

Furthermore, we explore a collaborative self-supervision idea to leverage pretext tasks and supervised contrastive learning for addressing the feature deviation problem by learning complete and discriminative features for all classes.

Continual Learning Contrastive Learning +1

Self-fulfilling Bandits: Dynamic Selection in Algorithmic Decision-making

no code implementations28 Aug 2021 Jin Li, Ye Luo, Xiaowei Zhang

This paper identifies and addresses dynamic selection problems that arise in online learning algorithms with endogenous data.

Decision Making

Unsupervised Cross-Lingual Speech Emotion Recognition Using Pseudo Multilabel

1 code implementation19 Aug 2021 Jin Li, Nan Yan, Lan Wang

However, cross-lingual SER remains a challenge in real-world applications due to a great difference between the source and target domain distributions.

Speech Emotion Recognition

FDN: Finite Difference Network with Hierarchical Convolutional Features for Text-independent Speaker Verification

1 code implementation18 Aug 2021 Jin Li, Nan Yan, Lan Wang

For example, RawNet and RawNet2 extracted speaker's feature embeddings from waveforms automatically for recognizing their voice, which can vastly reduce the front-end computation and obtain state-of-the-art performance.

Text-Independent Speaker Verification

Two Streams and Two Resolution Spectrograms Model for End-to-end Automatic Speech Recognition

1 code implementation18 Aug 2021 Jin Li, Xurong Xie, Nan Yan, Lan Wang

To the best of our knowledge, this is the first investigation of incorporating deep features to the backbone and use both low and high resolutions spectrogram to focus on global and local information.

Speech Recognition

Wavelet Transform-assisted Adaptive Generative Modeling for Colorization

3 code implementations9 Jul 2021 Jin Li, Wanyun Li, Zichen Xu, Yuhao Wang, Qiegen Liu

Unsupervised deep learning has recently demonstrated the promise to produce high-quality samples.

Colorization Denoising

Improving Cost Learning for JPEG Steganography by Exploiting JPEG Domain Knowledge

no code implementations9 May 2021 Weixuan Tang, Bin Li, Mauro Barni, Jin Li, Jiwu Huang

To address the issue, in this paper we extend an existing automatic cost learning scheme to JPEG, where the proposed scheme called JEC-RL (JPEG Embedding Cost with Reinforcement Learning) is explicitly designed to tailor the JPEG DCT structure.

Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-Overs

1 code implementation21 Apr 2021 Tingtian Li, Zixun Sun, Haoruo Zhang, Jin Li, Ziming Wu, Hui Zhan, Yipeng Yu, Hengcan Shi

In this paper, we also investigate the widely added voice-overs in short videos and propose a novel framework to retrieve BGM for fine-grained short videos.

Causal Reinforcement Learning: An Instrumental Variable Approach

no code implementations6 Mar 2021 Jin Li, Ye Luo, Xiaowei Zhang

In the standard data analysis framework, data is first collected (once for all), and then data analysis is carried out.

Truncation-Free Matching System for Display Advertising at Alibaba

no code implementations18 Feb 2021 Jin Li, Jie Liu, Shangzhou Li, Yao Xu, Ran Cao, Qi Li, Biye Jiang, Guan Wang, Han Zhu, Kun Gai, Xiaoqiang Zhu

When receiving a user request, matching system (i) finds the crowds that the user belongs to; (ii) retrieves all ads that have targeted those crowds.

TAG

Simulation on the Transparency of Electrons and Ion Back Flow for a Time Projection Chamber based on Staggered Multiple THGEMs

no code implementations16 Feb 2021 Mengzhi Wu, Qian Liu, Ping Li, Shi Chen, Binlong Wang, Wenhan Shen, Shiping Chen, Yangheng Zheng, Yigang Xie, Jin Li

The IBF and the transparent rate of electrons are two essential indicators of TPC, which affect the energy resolution and counting rate respectively.

Instrumentation and Detectors High Energy Physics - Experiment

Joint Intensity-Gradient Guided Generative Modeling for Colorization

3 code implementations28 Dec 2020 Kai Hong, Jin Li, Wanyun Li, Cailian Yang, Minghui Zhang, Yuhao Wang, Qiegen Liu

Furthermore, the joint intensity-gradient constraint in data-fidelity term is proposed to limit the degree of freedom within generative model at the iterative colorization stage, and it is conducive to edge-preserving.

Colorization

A Reversed and Shift Sparse Array Scheme based on the Difference and Sum Co-array

no code implementations26 Nov 2020 Yan Zhou, Jin Li, Nieke Wei

The reversed and shift (RAS) sparse array scheme, which is based on the difference and sum co-array (DSCA) and remarkably enhances the capability of identifying sources, is proposed.

A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction

no code implementations20 Aug 2020 Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, Kun Gai

For e-commerce platforms such as Taobao and Amazon, advertisers play an important role in the entire digital ecosystem: their behaviors explicitly influence users' browsing and shopping experience; more importantly, advertiser's expenditure on advertising constitutes a primary source of platform revenue.

Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising

no code implementations9 May 2020 Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai

Bipartite b-matching is fundamental in algorithm design, and has been widely applied into economic markets, labor markets, etc.

Fast Reinforcement Learning for Anti-jamming Communications

no code implementations13 Feb 2020 Pei-Gen Ye, Yuan-Gen Wang, Jin Li, Liang Xiao

This letter presents a fast reinforcement learning algorithm for anti-jamming communications which chooses previous action with probability $\tau$ and applies $\epsilon$-greedy with probability $(1-\tau)$.

Controllable List-wise Ranking for Universal No-reference Image Quality Assessment

1 code implementation24 Nov 2019 Fu-Zhao Ou, Yuan-Gen Wang, Jin Li, Guopu Zhu, Sam Kwong

First, to extend the authentically distorted image dataset, we present an imaging-heuristic approach, in which the over-underexposure is formulated as an inverse of Weber-Fechner law, and fusion strategy and probabilistic compression are adopted, to generate the degraded real-world images.

No-Reference Image Quality Assessment

DASGrad: Double Adaptive Stochastic Gradient

no code implementations25 Sep 2019 Kin Gutierrez, Cristian Challu, Jin Li, Artur Dubrawski

Adaptive moment methods have been remarkably successful for optimization under the presence of high dimensional or sparse gradients, in parallel to this, adaptive sampling probabilities for SGD have allowed optimizers to improve convergence rates by prioritizing examples to learn efficiently.

Transfer Learning

Universal Transforming Geometric Network

1 code implementation2 Aug 2019 Jin Li

The recurrent geometric network (RGN), the first end-to-end differentiable neural architecture for protein structure prediction, is a competitive alternative to existing models.

Protein Structure Prediction

Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification

no code implementations CVPR 2019 Jin Li, Xuguang Lan, Yang Liu, Le Wang, Nanning Zheng

Based on this intuition, a Product Quantization Zero-Shot Learning (PQZSL) method is proposed to learn embeddings as well as quantizers to compress visual features into compact codes for Approximate NN (ANN) search.

General Classification Generalized Zero-Shot Learning +1

Double Adaptive Stochastic Gradient Optimization

no code implementations6 Nov 2018 Kin Gutierrez, Jin Li, Cristian Challu, Artur Dubrawski

We observe that the benefits of~\textsc{DASGrad} increase with the model complexity and variability of the gradients, and we explore the resulting utility in extensions of distribution-matching multitask learning.

Security Matters: A Survey on Adversarial Machine Learning

no code implementations16 Oct 2018 Guofu Li, Pengjia Zhu, Jin Li, Zhemin Yang, Ning Cao, Zhiyi Chen

Adversarial machine learning is a fast growing research area, which considers the scenarios when machine learning systems may face potential adversarial attackers, who intentionally synthesize input data to make a well-trained model to make mistake.

A Real-time Robotic Grasp Approach with Oriented Anchor Box

no code implementations8 Sep 2018 Hanbo Zhang, Xinwen Zhou, Xuguang Lan, Jin Li, Zhiqiang Tian, Nanning Zheng

The main component of our approach is a grasp detection network with oriented anchor boxes as detection priors.

Robotics

Zero-Shot Learning by Generating Pseudo Feature Representations

no code implementations19 Mar 2017 Jiang Lu, Jin Li, Ziang Yan, Chang-Shui Zhang

Given the dataset of seen classes and side information of unseen classes (e. g. attributes), we synthesize feature-level pseudo representations for novel concepts, which allows us access to the formulation of unseen class predictor.

Zero-Shot Learning

Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm

no code implementations28 Feb 2017 Ziang Yan, Jian Liang, Weishen Pan, Jin Li, Chang-Shui Zhang

Object detection when provided image-level labels instead of instance-level labels (i. e., bounding boxes) during training is an important problem in computer vision, since large scale image datasets with instance-level labels are extremely costly to obtain.

Object Detection Semi-Supervised Object Detection

Compound Poisson Processes, Latent Shrinkage Priors and Bayesian Nonconvex Penalization

no code implementations28 Aug 2013 Zhihua Zhang, Jin Li

In this paper we discuss Bayesian nonconvex penalization for sparse learning problems.

Sparse Learning

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