b'Ang Li'

Causes of Effects: Learning individual responses from population data

The problem of individualization is recognized as crucial in almost ever...
04/28/2021 ∙ by Scott Mueller, et al. ∙ 10 ∙ share

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Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting

Crowd counting has drawn much attention due to its importance in safety-...
04/22/2021 ∙ by Qiming Wu, et al. ∙ 0 ∙ share

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BCNN: Binary Complex Neural Network

Binarized neural networks, or BNNs, show great promise in edge-side appl...
03/28/2021 ∙ by Yanfei Li, et al. ∙ 0 ∙ share

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PredCoin: Defense against Query-based Hard-label Attack

Many adversarial attacks and defenses have recently been proposed for De...
02/04/2021 ∙ by Junfeng Guo, et al. ∙ 0 ∙ share

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On Provable Backdoor Defense in Collaborative Learning

As collaborative learning allows joint training of a model using multipl...
01/19/2021 ∙ by Ximing Qiao, et al. ∙ 0 ∙ share

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Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning

As power systems are undergoing a significant transformation with more u...
01/13/2021 ∙ by Renke Huang, et al. ∙ 0 ∙ share

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Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G

With the incoming 5G network, the ubiquitous Internet of Things (IoT) de...
01/08/2021 ∙ by Zhihui Gao, et al. ∙ 0 ∙ share

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Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures

Designing efficient and scalable sparse linear algebra kernels on modern...
12/13/2020 ∙ by Chenhao Xie, et al. ∙ 0 ∙ share

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Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective

Federated learning (FL) is a popular distributed learning framework that...
12/08/2020 ∙ by Jingwei Sun, et al. ∙ 0 ∙ share

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GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs

Graph-based semi-supervised node classification (GraphSSC) has wide appl...
12/08/2020 ∙ by Binghui Wang, et al. ∙ 0 ∙ share

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ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing

The next generation HPC and data centers are likely to be reconfigurable...
11/10/2020 ∙ by Cheng Tan, et al. ∙ 0 ∙ share

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Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination

Despite the superb performance of State-Of-The-Art (SOTA) DNNs, the incr...
11/08/2020 ∙ by Fuxun Yu, et al. ∙ 0 ∙ share

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A Bayesian Approach for Characterizing and Mitigating Gate and Measurement Errors

Various noise models have been developed in quantum computing study to d...
10/19/2020 ∙ by Muqing Zheng, et al. ∙ 0 ∙ share

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The Effectiveness of Memory Replay in Large Scale Continual Learning

We study continual learning in the large scale setting where tasks in th...
10/06/2020 ∙ by Yogesh Balaji, et al. ∙ 0 ∙ share

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Evasion Attacks to Graph Neural Networks via Influence Function

Graph neural networks (GNNs) have achieved state-of-the-art performance ...
09/01/2020 ∙ by Binghui Wang, et al. ∙ 0 ∙ share

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Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs

Link prediction in dynamic graphs (LPDG) is an important research proble...
09/01/2020 ∙ by Houxiang Fan, et al. ∙ 4 ∙ share

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LotteryFL: Personalized and Communication-Efficient Federated Learning with Lottery Ticket Hypothesis on Non-IID Datasets

Federated learning is a popular distributed machine learning paradigm wi...
08/07/2020 ∙ by Ang Li, et al. ∙ 12 ∙ share

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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. ∙ 1 ∙ 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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Ang Li

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