Ang Li

1-Bit Massive MIMO Transmission: Embracing Interference with Symbol-Level Precoding

The deployment of large-scale antenna arrays for cellular base stations ...
07/28/2020 ∙ by Ang Li, et al. ∙ 0 ∙ share

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Accelerating Binarized Neural Networks via Bit-Tensor-Cores in Turing GPUs

Despite foreseeing tremendous speedups over conventional deep neural net...
06/30/2020 ∙ by Ang Li, et al. ∙ 0 ∙ share

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Symbol-Level Precoding Made Practical for Multi-Level Modulations via Block-Level Rescaling

In this letter, we propose an interference exploitation symbol-level pre...
06/27/2020 ∙ by Ang Li, et al. ∙ 0 ∙ share

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SOLA: Continual Learning with Second-Order Loss Approximation

Neural networks have achieved remarkable success in many cognitive tasks...
06/19/2020 ∙ by Dong Yin, et al. ∙ 17 ∙ share

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Learning to Incentivize Other Learning Agents

The challenge of developing powerful and general Reinforcement Learning ...
06/10/2020 ∙ by Jiachen Yang, et al. ∙ 0 ∙ share

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Visual Localization Using Semantic Segmentation and Depth Prediction

In this paper, we propose a monocular visual localization pipeline lever...
05/25/2020 ∙ by Huanhuan Fan, et al. ∙ 36 ∙ share

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PoliteCamera: Respecting Strangers' Privacy in Mobile Photographing

Camera is a standard on-board sensor of modern mobile phones. It makes p...
05/24/2020 ∙ by Ang Li, et al. ∙ 2 ∙ share

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MVStylizer: An Efficient Edge-Assisted Video Photorealistic Style Transfer System for Mobile Phones

Recent research has made great progress in realizing neural style transf...
05/24/2020 ∙ by Ang Li, et al. ∙ 3 ∙ share

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TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations

The success of deep learning partially benefits from the availability of...
05/23/2020 ∙ by Ang Li, et al. ∙ 3 ∙ share

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CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks

Recurrent neural networks (RNNs) have been widely adopted in temporal se...
05/11/2020 ∙ by Runbin Shi, et al. ∙ 0 ∙ share

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The AVA-Kinetics Localized Human Actions Video Dataset

This paper describes the AVA-Kinetics localized human actions video data...
05/01/2020 ∙ by Ang Li, et al. ∙ 6 ∙ share

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Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification

Modern deep neural networks (DNNs) often require high memory consumption...
04/20/2020 ∙ by Huanrui Yang, et al. ∙ 10 ∙ share

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Hybrid Models for Open Set Recognition

Open set recognition requires a classifier to detect samples not belongi...
03/27/2020 ∙ by Hongjie Zhang, et al. ∙ 3 ∙ share

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Near-Optimal Interference Exploitation 1-Bit Massive MIMO Precoding via Partial Branch-and-Bound

In this paper, we focus on 1-bit precoding for large-scale antenna syste...
02/13/2020 ∙ by Ang Li, et al. ∙ 0 ∙ share

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Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing

Deep Reinforcement Learning (RL) is proven powerful for decision making ...
02/12/2020 ∙ by Ge Liu, et al. ∙ 11 ∙ share

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A Parallel Sparse Tensor Benchmark Suite on CPUs and GPUs

Tensor computations present significant performance challenges that impa...
01/02/2020 ∙ by Jiajia Li, et al. ∙ 0 ∙ share

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Hybrid Precoding Design for Reconfigurable Intelligent Surface aided mmWave Communication Systems

In this letter, we focus on the hybrid precoding (HP) design for the rec...
11/29/2019 ∙ by Chandan Pradhan, et al. ∙ 0 ∙ share

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Orthogonal Gradient Descent for Continual Learning

Neural networks are achieving state of the art and sometimes super-human...
10/15/2019 ∙ by Mehrdad Farajtabar, et al. ∙ 13 ∙ share

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Computation Offloading for IoT in C-RAN: Optimization and Deep Learning

We consider computation offloading for Internet-of-things (IoT) applicat...
09/24/2019 ∙ by Chandan Pradhan, et al. ∙ 0 ∙ share

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Secure Interference Exploitation Precoding in MISO Wiretap Channel: Destructive Region Redefinition with Efficient Solutions

In this paper, we focus on the physical layer security for a K-user mult...
09/20/2019 ∙ by Ye Fan, et al. ∙ 0 ∙ share

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DeepObfuscator: Adversarial Training Framework for Privacy-Preserving Image Classification

Deep learning has been widely utilized in many computer vision applicati...
09/09/2019 ∙ by Ang Li, et al. ∙ 21 ∙ share

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Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control

Many real-world sequential decision-making problems can be formulated as...
09/04/2019 ∙ by Nir Levine, et al. ∙ 25 ∙ share

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UWB-GCN: Hardware Acceleration of Graph-Convolution-Network through Runtime Workload Rebalancing

The recent development of deep learning has mostly been focusing on Eucl...
08/23/2019 ∙ by Tong Geng, et al. ∙ 0 ∙ share

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R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object

Rotation detection is a challenging task due to the difficulties of loca...
08/15/2019 ∙ by Xue Yang, et al. ∙ 2 ∙ share

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Boosted GAN with Semantically Interpretable Information for Image Inpainting

Image inpainting aims at restoring missing region of corrupted images, w...
08/13/2019 ∙ by Ang Li, et al. ∙ 5 ∙ share

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Interference Exploitation 1-Bit Massive MIMO Precoding: A Partial Branch-and-Bound Solution with Near-Optimal Performance

In this paper, we focus on 1-bit precoding approaches for downlink massi...
08/10/2019 ∙ by Ang Li, et al. ∙ 0 ∙ share

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Generative Image Inpainting with Submanifold Alignment

Image inpainting aims at restoring missing regions of corrupted images, ...
08/01/2019 ∙ by Ang Li, et al. ∙ 2 ∙ share

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Rethinking Classification and Localization for Cascade R-CNN

We extend the state-of-the-art Cascade R-CNN with a simple feature shari...
07/27/2019 ∙ by Ang Li, et al. ∙ 5 ∙ share

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Interference Exploitation via Symbol-Level Precoding: Overview, State-of-the-Art and Future Directions

Interference is traditionally viewed as a performance limiting factor in...
07/12/2019 ∙ by Ang Li, et al. ∙ 0 ∙ share

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Beam Allocation for Millimeter-Wave MIMO Tracking Systems

In this paper, we propose a new beam allocation strategy aiming to maxim...
07/01/2019 ∙ by Deyou Zhang, et al. ∙ 0 ∙ share

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Cross-View Policy Learning for Street Navigation

The ability to navigate from visual observations in unfamiliar environme...
06/13/2019 ∙ by Ang Li, et al. ∙ 5 ∙ share

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Hybrid Precoder and Combiner for Imperfect Beam Alignment in mmWave MIMO Systems

In this letter, we aim to design a robust hybrid precoder and combiner a...
03/22/2019 ∙ by Chandan Pradhan, et al. ∙ 0 ∙ share

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Robust Hybrid Precoding for Beam Misalignment in Millimeter-Wave Communications

In this paper, we focus on the phenomenon of beam misalignment in Millim...
03/22/2019 ∙ by Chandan Pradhan, et al. ∙ 0 ∙ share

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Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect

High performance multi-GPU computing becomes an inevitable trend due to ...
03/11/2019 ∙ by Ang Li, et al. ∙ 0 ∙ share

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Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher

Despite the fact that deep neural networks are powerful models and achie...
02/09/2019 ∙ by Seyed-Iman Mirzadeh, et al. ∙ 22 ∙ share

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PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite

Tensor methods have gained increasingly attention from various applicati...
02/08/2019 ∙ by Jiajia Li, et al. ∙ 0 ∙ share

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A Generalized Framework for Population Based Training

Population Based Training (PBT) is a recent approach that jointly optimi...
02/05/2019 ∙ by Ang Li, et al. ∙ 32 ∙ share

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A Scalable Framework for Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters with Weight and Workload Balancing

Deep Neural Networks (DNNs) have revolutionized numerous applications, b...
01/04/2019 ∙ by Tong Geng, et al. ∙ 10 ∙ share

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Interference Exploitation Precoding for Multi-Level Modulations: Closed-Form Solutions

In this paper, we study closed-form interference-exploitation precoding ...
11/08/2018 ∙ by Ang Li, et al. ∙ 0 ∙ share

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Hybrid Analog-Digital Precoding for Interference Exploitation

We study the multi-user massive multiple-input-single-output (MISO) and ...
10/29/2018 ∙ by Ang Li, et al. ∙ 0 ∙ share

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1-Bit Massive MIMO Downlink Based on Constructive Interference

In this paper, we focus on the multiuser massive multiple-input single-o...
10/29/2018 ∙ by Ang Li, et al. ∙ 0 ∙ share

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Consistency-aware Shading Orders Selective Fusion for Intrinsic Image Decomposition

We address the problem of decomposing a single image into reflectance an...
10/23/2018 ∙ by Yuanliu Liu, et al. ∙ 2 ∙ share

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Privacy-Preserving Multiparty Learning For Logistic Regression

In recent years, machine learning techniques are widely used in numerous...
10/04/2018 ∙ by Wei Du, et al. ∙ 0 ∙ share

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Privacy-Preserving Outsourcing of Large-Scale Nonlinear Programming to the Cloud

The increasing massive data generated by various sources has given birth...
10/02/2018 ∙ by Ang Li, et al. ∙ 0 ∙ share

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PhotoSafer: Content-Based and Context-Aware Private Photo Protection for Smartphones

Nowadays many people store photos in smartphones. Many of the photos con...
10/02/2018 ∙ by Ang Li, et al. ∙ 0 ∙ share

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SymmNet: A Symmetric Convolutional Neural Network for Occlusion Detection

Detecting the occlusion from stereo images or video frames is important ...
07/03/2018 ∙ by Ang Li, et al. ∙ 0 ∙ share

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Representing Videos based on Scene Layouts for Recognizing Agent-in-Place Actions

We address the recognition of agent-in-place actions, which are associat...
04/04/2018 ∙ by Ruichi Yu, et al. ∙ 2 ∙ share

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SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks

Going deeper and wider in neural architectures improves the accuracy, wh...
01/13/2018 ∙ by Linnan Wang, et al. ∙ 0 ∙ share

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Interference Exploitation Precoding Made Practical: Closed-Form Solutions with Optimal Performance

In this paper, we propose closed-form precoding schemes with optimal per...
12/21/2017 ∙ by Ang Li, et al. ∙ 0 ∙ share

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NISP: Pruning Networks using Neuron Importance Score Propagation

To reduce the significant redundancy in deep Convolutional Neural Networ...
11/16/2017 ∙ by Ruichi Yu, et al. ∙ 0 ∙ share

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Ang Li

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