Search Results for author: Jian Li

Found 118 papers, 30 papers with code

Natural Language Processing Meets Quantum Physics: A Survey and Categorization

no code implementations EMNLP 2021 Sixuan Wu, Jian Li, Peng Zhang, Yue Zhang

Recent research has investigated quantum NLP, designing algorithms that process natural language in quantum computers, and also quantum-inspired algorithms that improve NLP performance on classical computers.

Controlled Text Generation Using Dictionary Prior in Variational Autoencoders

no code implementations Findings (ACL) 2022 Xianghong Fang, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, Dit-yan Yeung

While variational autoencoders (VAEs) have been widely applied in text generation tasks, they are troubled by two challenges: insufficient representation capacity and poor controllability.

Contrastive Learning Language Modelling +2

MTRec: Multi-Task Learning over BERT for News Recommendation

no code implementations Findings (ACL) 2022 Qiwei Bi, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, Hanfang Yang

With the adoption of large pre-trained models like BERT in news recommendation, the above way to incorporate multi-field information may encounter challenges: the shallow feature encoding to compress the category and entity information is not compatible with the deep BERT encoding.

Multi-Task Learning News Recommendation

Ridgeless Regression with Random Features

1 code implementation1 May 2022 Jian Li, Yong liu, Yingying Zhang

Recent theoretical studies illustrated that kernel ridgeless regression can guarantee good generalization ability without an explicit regularization.

Sharper Utility Bounds for Differentially Private Models

no code implementations22 Apr 2022 Yilin Kang, Yong liu, Jian Li, Weiping Wang

In this paper, by introducing Generalized Bernstein condition, we propose the first $\mathcal{O}\big(\frac{\sqrt{p}}{n\epsilon}\big)$ high probability excess population risk bound for differentially private algorithms under the assumptions $G$-Lipschitz, $L$-smooth, and Polyak-{\L}ojasiewicz condition, based on gradient perturbation method.

Stability and Generalization of Differentially Private Minimax Problems

no code implementations11 Apr 2022 Yilin Kang, Yong liu, Jian Li, Weiping Wang

To the best of our knowledge, this is the first time to analyze the generalization performance of general minimax paradigm, taking differential privacy into account.

reinforcement-learning

Model-free Reinforcement Learning for Content Caching at the Wireless Edge via Restless Bandits

no code implementations26 Feb 2022 Guojun Xiong, Shufan Wang, Jian Li, Rahul Singh

In this paper, we consider the problem of content caching at the wireless edge with unreliable channels to minimize average content request latency.

Edge-computing reinforcement-learning

ASFD: Automatic and Scalable Face Detector

no code implementations26 Jan 2022 Jian Li, Bin Zhang, Yabiao Wang, Ying Tai, Zhenyu Zhang, Chengjie Wang, Jilin Li, Xiaoming Huang, Yili Xia

Along with current multi-scale based detectors, Feature Aggregation and Enhancement (FAE) modules have shown superior performance gains for cutting-edge object detection.

Face Detection Object Detection

Machine learning prediction for mean motion resonance behaviour -- The planar case

no code implementations18 Jan 2022 Xin Li, Jian Li, Zhihong Jeff Xia, Nikolaos Georgakarakos

Most recently, machine learning has been used to study the dynamics of integrable Hamiltonian systems and the chaotic 3-body problem.

Numerical Integration

SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-Resolution

no code implementations12 Jan 2022 Jiangning Zhang, Chao Xu, Jian Li, Yue Han, Yabiao Wang, Ying Tai, Yong liu

In the practical application of restoring low-resolution gray-scale images, we generally need to run three separate processes of image colorization, super-resolution, and dows-sampling operation for the target device.

Colorization Super-Resolution

DeepScalper: A Risk-Aware Deep Reinforcement Learning Framework for Intraday Trading with Micro-level Market Embedding

no code implementations15 Dec 2021 Shuo Sun, Rundong Wang, Xu He, Junlei Zhu, Jian Li, Bo An

However, it is hard to apply existing RL methods to intraday trading due to the following three limitations: 1) overlooking micro-level market information (e. g., limit order book); 2) only focusing on local price fluctuation and failing to capture the overall trend of the whole trading day; 3) neglecting the impact of market risk.

Algorithmic Trading reinforcement-learning

AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020

1 code implementation25 Nov 2021 Jin Xu, Mingjian Chen, Jianqiang Huang, Xingyuan Tang, Ke Hu, Jian Li, Jia Cheng, Jun Lei

Graph Neural Networks (GNNs) have become increasingly popular and achieved impressive results in many graph-based applications.

Graph Classification Node Classification

ML-EXray: Visibility into ML Deployment on the Edge

no code implementations8 Nov 2021 Hang Qiu, Ioanna Vavelidou, Jian Li, Evgenya Pergament, Pete Warden, Sandeep Chinchali, Zain Asgar, Sachin Katti

The key challenge is that there is not much visibility into ML inference execution on edge devices, and very little awareness of potential issues during the edge deployment process.

Quantization

Critical Learning Periods in Federated Learning

no code implementations12 Sep 2021 Gang Yan, Hao Wang, Jian Li

In this work, we show that the final test accuracy of FL is dramatically affected by the early phase of the training process, i. e., FL exhibits critical learning periods, in which small gradient errors can have irrecoverable impact on the final test accuracy.

Federated Learning

Unsupervised Open-Domain Question Answering

no code implementations31 Aug 2021 Pengfei Zhu, Xiaoguang Li, Jian Li, Hai Zhao

Open-domain Question Answering (ODQA) has achieved significant results in terms of supervised learning manner.

Machine Reading Comprehension Open-Domain Question Answering

Analyzing and Mitigating Interference in Neural Architecture Search

no code implementations29 Aug 2021 Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Jian Li

Weight sharing has become the \textit{de facto} approach to reduce the training cost of neural architecture search (NAS) by reusing the weights of shared operators from previously trained child models.

Neural Architecture Search

Accelerating Serverless Computing by Harvesting Idle Resources

no code implementations28 Aug 2021 Hanfei Yu, Hao Wang, Jian Li, Xu Yuan, Seung-Jong Park

Serverless computing automates fine-grained resource scaling and simplifies the development and deployment of online services with stateless functions.

Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Adaptive Refined Labeling

no code implementations26 Jul 2021 Liang Zeng, Lei Wang, Hui Niu, Jian Li, Ruchen Zhang, Zhonghao Dai, Dewei Zhu, Ling Wang

Price movement forecasting aims at predicting the future trends of financial assets based on the current market conditions and other relevant information.

Metric Learning Time Series +1

Discrete Auto-regressive Variational Attention Models for Text Modeling

1 code implementation16 Jun 2021 Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael Lyu, Irwin King

We further design discrete latent space for the variational attention and mathematically show that our model is free from posterior collapse.

Language Modelling

Simple Combinatorial Algorithms for Combinatorial Bandits: Corruptions and Approximations

no code implementations12 Jun 2021 Haike Xu, Jian Li

Our algorithm achieves an (approximation) regret bound of $\tilde{O}\left(d\sqrt{KT}\right)$.

Effective Graph Learning with Adaptive Knowledge Exchange

no code implementations10 Jun 2021 Liang Zeng, Jin Xu, Zijun Yao, Yanqiao Zhu, Jian Li

Extensive experiments on node classification, graph classification, and edge prediction demonstrate the effectiveness of AKE-GNN.

Classification Graph Classification +4

Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model

1 code implementation NeurIPS 2021 Jiangning Zhang, Chao Xu, Jian Li, Wenzhou Chen, Yabiao Wang, Ying Tai, Shuo Chen, Chengjie Wang, Feiyue Huang, Yong liu

Inspired by biological evolution, we explain the rationality of Vision Transformer by analogy with the proven practical Evolutionary Algorithm (EA) and derive that both of them have consistent mathematical representation.

Image Retrieval

Towards Sharper Utility Bounds for Differentially Private Pairwise Learning

no code implementations7 May 2021 Yilin Kang, Yong liu, Jian Li, Weiping Wang

Pairwise learning focuses on learning tasks with pairwise loss functions, depends on pairs of training instances, and naturally fits for modeling relationships between pairs of samples.

Weighted SPICE Algorithms for Range-Doppler Imaging Using One-Bit Automotive Radar

no code implementations31 Mar 2021 Xiaolei Shang, Jian Li, Petre Stoica

The recently proposed hyperparameter-free (and hence user friendly) weighted SPICE algorithms, including SPICE, LIKES, SLIM and IAA, achieve excellent parameter estimation performance for data sampled with high precision.

Sinusoidal Parameter Estimation from Signed Measurements via Majorization-Minimization Based RELAX

no code implementations21 Mar 2021 Jiaying Ren, Tianyi Zhang, Jian Li, Petre Stoica

In a previous paper, a relaxation-based algorithm, referred to as 1bRELAX, has been proposed to iteratively maximize the likelihood function.

Joint RFI Mitigation and Radar Echo Recovery for One-Bit UWB Radar

no code implementations19 Mar 2021 Tianyi Zhang, Jiaying Ren, Jian Li, Lam H. Nguyen, Petre Stoica

Radio frequency interference (RFI) mitigation and radar echo recovery are critically important for the proper functioning of ultra-wideband (UWB) radar systems using one-bit sampling techniques.

Both qubits of the singlet state can be steered simultaneously by multiple independent observers via sequential measurement

no code implementations24 Feb 2021 Kun Liu, Tongjun Liu, Wei Fang, Jian Li, Qin Wang

Quantum correlation is a fundamental property which distinguishes quantum systems from classical ones, and it is also a fragile resource under projective measurement.

Quantum Physics

Return-Based Contrastive Representation Learning for Reinforcement Learning

no code implementations ICLR 2021 Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu

Recently, various auxiliary tasks have been proposed to accelerate representation learning and improve sample efficiency in deep reinforcement learning (RL).

Atari Games reinforcement-learning +1

RFI Mitigation for One-bit UWB Radar Systems

no code implementations17 Feb 2021 Tianyi Zhang, Jiaying Ren, Jian Li, Lam H. Nguyen, Petre Stoica

A one-bit UWB system obtains its signed measurements via a low-cost and high rate sampling scheme, referred to as the Continuous Time Binary Value (CTBV) technology.

Quantization

Straggler-Resilient Distributed Machine Learning with Dynamic Backup Workers

no code implementations11 Feb 2021 Guojun Xiong, Gang Yan, Rahul Singh, Jian Li

In this paradigm, each worker maintains a local estimate of the optimal parameter vector, and iteratively updates it by waiting and averaging all estimates obtained from its neighbors, and then corrects it on the basis of its local dataset.

Distributed Optimization

Investigating the nature of MGRO J1908+06 with multiwavelength observations

no code implementations10 Feb 2021 Jian Li, Ruo-Yu Liu, Emma de Ona Wilhelmi, Diego F. Torres, Qian-Cheng Liu, Matthew Kerr, Rolf Buehler, Yang Su, Hao-Ning He, Meng-Yuan Xiao

The unidentified TeV source MGRO J1908+06, with emission extending from hundreds of GeV to beyond 100TeV, is one of the most intriguing sources in the Galactic plane.

High Energy Astrophysical Phenomena

Observation of ultra-slow shock waves in a tunable magnetic lattice

no code implementations28 Jan 2021 Jian Li, Chockalingam Senthilnathan, Tal Cohen

The combination of fast propagation speeds and highly localized nature has hindered the direct observation of the evolution of shock waves at the molecular scale.

Soft Condensed Matter

On the quantization of recurrent neural networks

no code implementations14 Jan 2021 Jian Li, Raziel Alvarez

Integer quantization of neural networks can be defined as the approximation of the high precision computation of the canonical neural network formulation, using reduced integer precision.

Quantization

Learning Augmented Index Policy for Optimal Service Placement at the Network Edge

no code implementations10 Jan 2021 Guojun Xiong, Rahul Singh, Jian Li

We pose the problem as a Markov decision process (MDP) in which the system state is given by describing, for each service, the number of customers that are currently waiting at the edge to obtain the service.

Q-Learning

Theory of polymer diffusion in polymer-nanoparticle mixtures: effect of nanoparticle concentration and polymer length

no code implementations22 Nov 2020 Bokai Zhang, Jian Li, Juan-mei Hu, Lei Liu

The dynamics of polymer-nanoparticle (NP) mixtures, which involves multiple scales and system-specific variables, has posed a long-standing challenge on its theoretical description.

Soft Condensed Matter

Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems

no code implementations10 Nov 2020 Zhiguo Wang, Jiawei Zhang, Tsung-Hui Chang, Jian Li, Zhi-Quan Luo

While many distributed optimization algorithms have been proposed for solving smooth or convex problems over the networks, few of them can handle non-convex and non-smooth problems.

Distributed Optimization

TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems

1 code implementation17 Oct 2020 Robert David, Jared Duke, Advait Jain, Vijay Janapa Reddi, Nat Jeffries, Jian Li, Nick Kreeger, Ian Nappier, Meghna Natraj, Shlomi Regev, Rocky Rhodes, Tiezhen Wang, Pete Warden

We introduce TensorFlow Lite Micro (TF Micro), an open-source ML inference framework for running deep-learning models on embedded systems.

DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis

1 code implementation3 Oct 2020 Chuheng Zhang, Yuanqi Li, Xi Chen, Yifei Jin, Pingzhong Tang, Jian Li

Modern machine learning models (such as deep neural networks and boosting decision tree models) have become increasingly popular in financial market prediction, due to their superior capacity to extract complex non-linear patterns.

Kalman Filtering Attention for User Behavior Modeling in CTR Prediction

no code implementations NeurIPS 2020 Hu Liu, Jing Lu, Xiwei Zhao, Sulong Xu, Hao Peng, Yutong Liu, Zehua Zhang, Jian Li, Junsheng Jin, Yongjun Bao, Weipeng Yan

First, conventional attentions mostly limit the attention field only to a single user's behaviors, which is not suitable in e-commerce where users often hunt for new demands that are irrelevant to any historical behaviors.

Click-Through Rate Prediction

Loosely Coupled Federated Learning Over Generative Models

no code implementations28 Sep 2020 Shaoming Song, Yunfeng Shao, Jian Li

This paper proposes Loosely Coupled Federated Learning (LC-FL), a framework using generative models as transmission media to achieve low communication cost and heterogeneous federated learning.

Federated Learning

Secure Transmission by Leveraging Multiple Intelligent Reflecting Surfaces in MISO Systems

no code implementations9 Aug 2020 Jian Li, Lan Zhang, Kaiping Xue, Yuguang Fang

Specifically, to guarantee the worst-case achievable secrecy rate among multiple legitimate users, we formulate a max-min problem that can be solved by an alternative optimization method to decouple it into multiple sub-problems.

LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition

no code implementations9 Aug 2020 Jin Xu, Xu Tan, Yi Ren, Tao Qin, Jian Li, Sheng Zhao, Tie-Yan Liu

However, there are more than 6, 000 languages in the world and most languages are lack of speech training data, which poses significant challenges when building TTS and ASR systems for extremely low-resource languages.

Automatic Speech Recognition Knowledge Distillation +1

ACFD: Asymmetric Cartoon Face Detector

no code implementations2 Jul 2020 Bin Zhang, Jian Li, Yabiao Wang, Zhipeng Cui, Yili Xia, Chengjie Wang, Jilin Li, Feiyue Huang

Cartoon face detection is a more challenging task than human face detection due to many difficult scenarios is involved.

Face Detection

Neural Architecture Optimization with Graph VAE

no code implementations18 Jun 2020 Jian Li, Yong liu, Jiankun Liu, Weiping Wang

The encoder and the decoder belong to a graph VAE, mapping architectures between continuous representations and network architectures.

Neural Architecture Search

Improved Algorithms for Convex-Concave Minimax Optimization

no code implementations NeurIPS 2020 Yuanhao Wang, Jian Li

This paper studies minimax optimization problems $\min_x \max_y f(x, y)$, where $f(x, y)$ is $m_x$-strongly convex with respect to $x$, $m_y$-strongly concave with respect to $y$ and $(L_x, L_{xy}, L_y)$-smooth.

Exploration by Maximizing Rényi Entropy for Reward-Free RL Framework

no code implementations11 Jun 2020 Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li

In the planning phase, the agent computes a good policy for any reward function based on the dataset without further interacting with the environment.

Q-Learning

ASFD: Automatic and Scalable Face Detector

no code implementations25 Mar 2020 Bin Zhang, Jian Li, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yili Xia, Wenjiang Pei, Rongrong Ji

In this paper, we propose a novel Automatic and Scalable Face Detector (ASFD), which is based on a combination of neural architecture search techniques as well as a new loss design.

Neural Architecture Search

Meta-Embeddings Based On Self-Attention

no code implementations3 Mar 2020 Qichen Li, Yuanqing Lin, Luofeng Zhou, Jian Li

Creating meta-embeddings for better performance in language modelling has received attention lately, and methods based on concatenation or merely calculating the arithmetic mean of more than one separately trained embeddings to perform meta-embeddings have shown to be beneficial.

Language Modelling Machine Translation +2

Convolutional Spectral Kernel Learning

no code implementations28 Feb 2020 Jian Li, Yong liu, Weiping Wang

Recently, non-stationary spectral kernels have drawn much attention, owing to its powerful feature representation ability in revealing long-range correlations and input-dependent characteristics.

PA-Cache: Evolving Learning-Based Popularity-Aware Content Caching in Edge Networks

no code implementations20 Feb 2020 Qilin Fan, Xiuhua Li, Jian Li, Qiang He, Kai Wang, Junhao Wen

Compared to the conventional content delivery networks, caches in edge networks with smaller sizes usually have to accommodate more bursty requests.

Decision Making

Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice

1 code implementation NeurIPS 2020 Shufan Wang, Jian Li, Shiqiang Wang

We obtain both deterministic and randomized online algorithms with provably improved performance when either a single or multiple ML predictions are used to make decisions.

Decision Making

Schema2QA: High-Quality and Low-Cost Q&A Agents for the Structured Web

3 code implementations16 Jan 2020 Silei Xu, Giovanni Campagna, Jian Li, Monica S. Lam

The key concept is to cover the space of possible compound queries on the database with a large number of in-domain questions synthesized with the help of a corpus of generic query templates.

Question Answering Semantic Parsing +1

Neuron Interaction Based Representation Composition for Neural Machine Translation

no code implementations22 Nov 2019 Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu

Starting from this intuition, we propose a novel approach to compose representations learned by different components in neural machine translation (e. g., multi-layer networks or multi-head attention), based on modeling strong interactions among neurons in the representation vectors.

Machine Translation Translation

Fast Learning of Temporal Action Proposal via Dense Boundary Generator

3 code implementations11 Nov 2019 Chuming Lin, Jian Li, Yabiao Wang, Ying Tai, Donghao Luo, Zhipeng Cui, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji

In this paper, we propose an efficient and unified framework to generate temporal action proposals named Dense Boundary Generator (DBG), which draws inspiration from boundary-sensitive methods and implements boundary classification and action completeness regression for densely distributed proposals.

General Classification Optical Flow Estimation

Metric Classification Network in Actual Face Recognition Scene

no code implementations25 Oct 2019 Jian Li, Yan Wang, Xiubao Zhang, Weihong Deng, Haifeng Shen

In this paper, we train a validation classifier to normalize the decision threshold, which means that the result can be obtained directly without replacing the threshold.

Classification Face Recognition +2

Optimizing Speech Recognition For The Edge

no code implementations26 Sep 2019 Yuan Shangguan, Jian Li, Qiao Liang, Raziel Alvarez, Ian McGraw

While most deployed speech recognition systems today still run on servers, we are in the midst of a transition towards deployments on edge devices.

Quantization Speech Recognition

Automated Spectral Kernel Learning

1 code implementation11 Sep 2019 Jian Li, Yong liu, Weiping Wang

The generalization performance of kernel methods is largely determined by the kernel, but common kernels are stationary thus input-independent and output-independent, that limits their applications on complicated tasks.

Semi-supervised Vector-valued Learning: From Theory to Algorithm

1 code implementation11 Sep 2019 Jian Li, Yong liu, Weiping Wang

Vector-valued learning, where the output space admits a vector-valued structure, is an important problem that covers a broad family of important domains, e. g. multi-label learning and multi-class classification.

Multi-class Classification Multi-Label Learning

Learning Guided Convolutional Network for Depth Completion

1 code implementation3 Aug 2019 Jie Tang, Fei-Peng Tian, Wei Feng, Jian Li, Ping Tan

It is thus necessary to complete the sparse LiDAR data, where a synchronized guidance RGB image is often used to facilitate this completion.

Autonomous Driving Depth Completion +1

NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

1 code implementation26 Jun 2019 Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang

Previous research shows that 1) popular network embedding benchmarks, such as DeepWalk, are in essence implicitly factorizing a matrix with a closed form, and 2)the explicit factorization of such matrix generates more powerful embeddings than existing methods.

Network Embedding

AddGraph_ Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN

no code implementations (IJCAI 2019 Li Zheng, Zhenpeng Li, Jian Li, Zhao Li, and Jun Gao

Anomaly detection in dynamic graphs becomes very critical in many different application scenarios, e. g., recommender systems, while it also raises huge challenges due to the high flexible nature of anomaly and lack of sufficient labelled data.

Anomaly Detection Edge Detection +1

Gradient Descent Maximizes the Margin of Homogeneous Neural Networks

1 code implementation ICLR 2020 Kaifeng Lyu, Jian Li

In this paper, we study the implicit regularization of the gradient descent algorithm in homogeneous neural networks, including fully-connected and convolutional neural networks with ReLU or LeakyReLU activations.

Optimal Rates for Distributed Learning with Random Features

1 code implementation7 Jun 2019 Jian Li, Yong liu

In this paper, using refined proof techniques, we first extend the optimal rates for distributed learning with random features to the non-attainable case.

Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision

1 code implementation NAACL 2019 Jianhao Yan, Lin He, Ruqin Huang, Jian Li, Ying Liu

This paper formulates the problem of relation extraction with temporal reasoning and proposes a solution to predict whether two given entities participate in a relation at a given time spot.

Relation Extraction

Policy Search by Target Distribution Learning for Continuous Control

no code implementations27 May 2019 Chuheng Zhang, Yuanqi Li, Jian Li

We observe that several existing policy gradient methods (such as vanilla policy gradient, PPO, A2C) may suffer from overly large gradients when the current policy is close to deterministic (even in some very simple environments), leading to an unstable training process.

Continuous Control Policy Gradient Methods +1

Robust Variational Autoencoder

no code implementations23 May 2019 Haleh Akrami, Anand A. Joshi, Jian Li, Sergul Aydore, Richard M. Leahy

Machine learning methods often need a large amount of labeled training data.

Outlier Detection

Anti-Confusing: Region-Aware Network for Human Pose Estimation

no code implementations3 May 2019 Xuan Cao, Yanhao Ge, Ying Tai, Wei zhang, Jian Li, Chengjie Wang, Jilin Li, Feiyue Huang

In this work, we propose a novel framework named Region-Aware Network (RANet), which learns the ability of anti-confusing in case of heavy occlusion, nearby person and symmetric appearance, for human pose estimation.

Data Augmentation Pose Estimation

Automatic Target Recognition Using Discrimination Based on Optimal Transport

no code implementations6 Apr 2019 Ali Sadeghian, Deoksu Lim, Johan Karlsson, Jian Li

The use of distances based on optimal transportation has recently shown promise for discrimination of power spectra.

Information Aggregation for Multi-Head Attention with Routing-by-Agreement

no code implementations NAACL 2019 Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu

Multi-head attention is appealing for its ability to jointly extract different types of information from multiple representation subspaces.

Machine Translation Translation

Context-Aware Self-Attention Networks

no code implementations15 Feb 2019 Baosong Yang, Jian Li, Derek Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu

Self-attention model have shown its flexibility in parallel computation and the effectiveness on modeling both long- and short-term dependencies.

Translation

Efficient Cross-Validation for Semi-Supervised Learning

no code implementations13 Feb 2019 Yong Liu, Jian Li, Guangjun Wu, Lizhong Ding, Weiping Wang

In this paper, we provide a method to approximate the CV for manifold regularization based on a notion of robust statistics, called Bouligand influence function (BIF).

Model Selection

Max-Diversity Distributed Learning: Theory and Algorithms

no code implementations19 Dec 2018 Yong Liu, Jian Li, Weiping Wang

We study the risk performance of distributed learning for the regularization empirical risk minimization with fast convergence rate, substantially improving the error analysis of the existing divide-and-conquer based distributed learning.

Learning Theory

Learning Features of Network Structures Using Graphlets

no code implementations13 Dec 2018 Kun Tu, Jian Li, Don Towsley, Dave Braines, Liam Turner

In this paper, we explore the role of \emph{graphlets} in network classification for both static and temporal networks.

General Classification Learning Network Representations +1

Multi-Class Learning: From Theory to Algorithm

no code implementations NeurIPS 2018 Jian Li, Yong liu, Rong Yin, Hua Zhang, Lizhong Ding, Weiping Wang

In this paper, we study the generalization performance of multi-class classification and obtain a shaper data-dependent generalization error bound with fast convergence rate, substantially improving the state-of-art bounds in the existing data-dependent generalization analysis.

Classification General Classification +1

DSFD: Dual Shot Face Detector

3 code implementations CVPR 2019 Jian Li, Yabiao Wang, Changan Wang, Ying Tai, Jianjun Qian, Jian Yang, Chengjie Wang, Jilin Li, Feiyue Huang

In this paper, we propose a novel face detection network with three novel contributions that address three key aspects of face detection, including better feature learning, progressive loss design and anchor assign based data augmentation, respectively.

Data Augmentation Face Detection

Multi-Head Attention with Disagreement Regularization

no code implementations EMNLP 2018 Jian Li, Zhaopeng Tu, Baosong Yang, Michael R. Lyu, Tong Zhang

Multi-head attention is appealing for the ability to jointly attend to information from different representation subspaces at different positions.

Translation

Guided Exploration in Deep Reinforcement Learning

no code implementations27 Sep 2018 Sahisnu Mazumder, Bing Liu, Shuai Wang, Yingxuan Zhu, Xiaotian Yin, Lifeng Liu, Jian Li, Yongbing Huang

This paper proposes a new method to drastically speed up deep reinforcement learning (deep RL) training for problems that have the property of \textit{state-action permissibility} (SAP).

reinforcement-learning

Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers

1 code implementation CVPR 2019 Zhen He, Jian Li, Daxue Liu, Hangen He, David Barber

To achieve both label-free and end-to-end learning of MOT, we propose a Tracking-by-Animation framework, where a differentiable neural model first tracks objects from input frames and then animates these objects into reconstructed frames.

Multi-Object Tracking Online Multi-Object Tracking

A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization

no code implementations7 Sep 2018 Zhize Li, Jian Li

Besides, if the hyperparameters (e. g., the Lipschitz smooth parameter $L$) are not available, we propose a guessing algorithm for guessing them dynamically and also prove a similar convergence rate.

Network Classification in Temporal Networks Using Motifs

no code implementations10 Jul 2018 Kun Tu, Jian Li, Don Towsley, Dave Braines, Liam D. Turner

Network classification has a variety of applications, such as detecting communities within networks and finding similarities between those representing different aspects of the real world.

Classification General Classification

Stochastic Gradient Hamiltonian Monte Carlo with Variance Reduction for Bayesian Inference

no code implementations29 Mar 2018 Zhize Li, Tianyi Zhang, Shuyu Cheng, Jun Zhu, Jian Li

In this paper, we apply the variance reduction tricks on Hamiltonian Monte Carlo and achieve better theoretical convergence results compared with the variance-reduced Langevin dynamics.

Bayesian Inference

Gradient Boosting With Piece-Wise Linear Regression Trees

1 code implementation15 Feb 2018 Yu Shi, Jian Li, Zhize Li

We show that PL Trees can accelerate convergence of GBDT and improve the accuracy.

Ensemble Learning

A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization

no code implementations NeurIPS 2018 Zhize Li, Jian Li

In particular, ProxSVRG+ generalizes the best results given by the SCSG algorithm, recently proposed by [Lei et al., 2017] for the smooth nonconvex case.

Code Completion with Neural Attention and Pointer Networks

1 code implementation27 Nov 2017 Jian Li, Yue Wang, Michael R. Lyu, Irwin King

Intelligent code completion has become an essential research task to accelerate modern software development.

Code Completion

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

4 code implementations9 Oct 2017 Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang

This work lays the theoretical foundation for skip-gram based network embedding methods, leading to a better understanding of latent network representation learning.

Network Embedding

Generative Adversarial Mapping Networks

no code implementations28 Sep 2017 Jianbo Guo, Guangxiang Zhu, Jian Li

They fit generative models by minimizing certain distance measure between the real image distribution and the generated data distribution.

Nearly Optimal Sampling Algorithms for Combinatorial Pure Exploration

no code implementations4 Jun 2017 Lijie Chen, Anupam Gupta, Jian Li, Mingda Qiao, Ruosong Wang

We provide a novel instance-wise lower bound for the sample complexity of the problem, as well as a nontrivial sampling algorithm, matching the lower bound up to a factor of $\ln|\mathcal{F}|$.

Multi-Armed Bandits

SVM via Saddle Point Optimization: New Bounds and Distributed Algorithms

no code implementations20 May 2017 Yifei Jin, Lingxiao Huang, Jian Li

Our algorithms achieve $(1-\epsilon)$-approximations with running time $\tilde{O}(nd+n\sqrt{d / \epsilon})$ for both variants, where $n$ is the number of points and $d$ is the dimensionality.

Practical Algorithms for Best-K Identification in Multi-Armed Bandits

no code implementations19 May 2017 Haotian Jiang, Jian Li, Mingda Qiao

In the Best-$K$ identification problem (Best-$K$-Arm), we are given $N$ stochastic bandit arms with unknown reward distributions.

Multi-Armed Bandits

Single-Pass PCA of Large High-Dimensional Data

1 code implementation25 Apr 2017 Wenjian Yu, Yu Gu, Jian Li, Shenghua Liu, Yaohang Li

Principal component analysis (PCA) is a fundamental dimension reduction tool in statistics and machine learning.

Dimensionality Reduction

Learning Gradient Descent: Better Generalization and Longer Horizons

2 code implementations ICML 2017 Kaifeng Lv, Shunhua Jiang, Jian Li

Training deep neural networks is a highly nontrivial task, involving carefully selecting appropriate training algorithms, scheduling step sizes and tuning other hyperparameters.

Nearly Instance Optimal Sample Complexity Bounds for Top-k Arm Selection

no code implementations13 Feb 2017 Lijie Chen, Jian Li, Mingda Qiao

In the Best-$k$-Arm problem, we are given $n$ stochastic bandit arms, each associated with an unknown reward distribution.

Generalized Haar Filter based Deep Networks for Real-Time Object Detection in Traffic Scene

no code implementations30 Oct 2016 Keyu Lu, Jian Li, Xiangjing An, Hangen He

This paper presents a generalized Haar filter based deep network which is suitable for the object detection tasks in traffic scene.

Real-Time Object Detection

Optimal In-Place Suffix Sorting

2 code implementations26 Oct 2016 Zhize Li, Jian Li, Hongwei Huo

The open problem asked to design in-place algorithms in $o(n\log n)$ time and ultimately, in $O(n)$ time for (read-only) integer alphabets with $|\Sigma| \leq n$.

Data Structures and Algorithms

Combinatorial Multi-Armed Bandit with General Reward Functions

no code implementations NeurIPS 2016 Wei Chen, Wei Hu, Fu Li, Jian Li, Yu Liu, Pinyan Lu

Our framework enables a much larger class of reward functions such as the $\max()$ function and nonlinear utility functions.

Towards Instance Optimal Bounds for Best Arm Identification

no code implementations22 Aug 2016 Lijie Chen, Jian Li, Mingda Qiao

$H(I)=\sum_{i=2}^n\Delta_{[i]}^{-2}$ is the complexity of the instance.

Characterizing Driving Styles with Deep Learning

1 code implementation13 Jul 2016 Weishan Dong, Jian Li, Renjie Yao, Changsheng Li, Ting Yuan, Lanjun Wang

Characterizing driving styles of human drivers using vehicle sensor data, e. g., GPS, is an interesting research problem and an important real-world requirement from automotive industries.

Autonomous Driving

Store Location Selection via Mining Search Query Logs of Baidu Maps

no code implementations12 Jun 2016 Mengwen Xu, Tianyi Wang, Zhengwei Wu, Jingbo Zhou, Jian Li, Haishan Wu

In this paper, we propose a Demand Distribution Driven Store Placement (D3SP) framework for business store placement by mining search query data from Baidu Maps.

Open Problem: Best Arm Identification: Almost Instance-Wise Optimality and the Gap Entropy Conjecture

no code implementations27 May 2016 Lijie Chen, Jian Li

The best arm identification problem (BEST-1-ARM) is the most basic pure exploration problem in stochastic multi-armed bandits.

Multi-Armed Bandits

Pure Exploration of Multi-armed Bandit Under Matroid Constraints

no code implementations23 May 2016 Lijie Chen, Anupam Gupta, Jian Li

In a Best-Basis instance, we are given $n$ stochastic arms with unknown reward distributions, as well as a matroid $\mathcal{M}$ over the arms.

On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs

no code implementations NeurIPS 2015 Wei Cao, Jian Li, Yufei Tao, Zhize Li

This paper discusses how to efficiently choose from $n$ unknowndistributions the $k$ ones whose means are the greatest by a certainmetric, up to a small relative error.

Multi-Armed Bandits

On the Optimal Sample Complexity for Best Arm Identification

no code implementations12 Nov 2015 Lijie Chen, Jian Li

The $i$th arm has a reward distribution $D_i$ with an unknown mean $\mu_{i}$.

Learning Arbitrary Statistical Mixtures of Discrete Distributions

no code implementations10 Apr 2015 Jian Li, Yuval Rabani, Leonard J. Schulman, Chaitanya Swamy

We study the problem of learning from unlabeled samples very general statistical mixture models on large finite sets.

Collaborative Filtering Topic Models

Matroid and Knapsack Center Problems

1 code implementation4 Jan 2013 Danny Z. Chen, Jian Li, Hongyu Liang, Haitao Wang

We also consider the outlier version of the problem where a given number of vertices can be excluded as the outliers from the solution.

Data Structures and Algorithms Discrete Mathematics

Parallelizing Support Vector Machines on Distributed Computers

no code implementations NeurIPS 2007 Kaihua Zhu, Hao Wang, Hongjie Bai, Jian Li, Zhihuan Qiu, Hang Cui, Edward Y. Chang

Support Vector Machines (SVMs) suffer from a widely recognized scalability problem in both memory use and computational time.

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