b'Jian Liu'

research

∙ 10/17/2022

Private Data Valuation and Fair Payment in Data Marketplaces

Data valuation is an essential task in a data marketplace. It aims at fa...

Zhihua Tian, et al. ∙

research

∙ 10/16/2022

OST: Efficient One-stream Network for 3D Single Object Tracking in Point Clouds

Although recent Siamese network-based trackers have achieved impressive ...

Xiantong Zhao, et al. ∙

research

∙ 10/12/2022

Improved Data Augmentation for Translation Suggestion

Translation suggestion (TS) models are used to automatically provide alt...

Hongxiao Zhang, et al. ∙

research

∙ 07/27/2022

Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection

In this paper, we present the Multi-Forgery Detection Challenge held con...

Jianshu Li, et al. ∙

research

∙ 07/19/2022

Multi-parametric Analysis for Mixed Integer Linear Programming: An Application to Transmission Planning and Congestion Control

Enhancing existing transmission lines is a useful tool to combat transmi...

Jian Liu, et al. ∙

research

∙ 07/17/2022

Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal

As a common security tool, visible watermarking has been widely applied ...

Xinwei Liu, et al. ∙

research

∙ 05/21/2022

DProQ: A Gated-Graph Transformer for Protein Complex Structure Assessment

Proteins interact to form complexes to carry out essential biological fu...

Xiao Chen, et al. ∙

research

∙ 05/20/2022

EGR: Equivariant Graph Refinement and Assessment of 3D Protein Complex Structures

Protein complexes are macromolecules essential to the functioning and we...

Alex Morehead, et al. ∙

research

∙ 05/18/2022

Visual Attention-based Self-supervised Absolute Depth Estimation using Geometric Priors in Autonomous Driving

Although existing monocular depth estimation methods have made great pro...

Jie Xiang, et al. ∙

research

∙ 04/29/2022

VPNets: Volume-preserving neural networks for learning source-free dynamics

We propose volume-preserving networks (VPNets) for learning unknown sour...

Aiqing Zhu, et al. ∙

research

∙ 03/29/2022

Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage

Federated Learning (FL) framework brings privacy benefits to distributed...

Zhuohang Li, et al. ∙

research

∙ 03/06/2022

Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation

Token-level adaptive training approaches can alleviate the token imbalan...

Songming Zhang, et al. ∙

research

∙ 01/10/2022

Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification

Hierarchical multi-granularity classification (HMC) assigns hierarchical...

Jingzhou Chen, et al. ∙

research

∙ 01/10/2022

Spatiotemporal 2-D Channel Coding for Very Low Latency Reliable MIMO Transmission

To fully support vertical industries, 5G and its corresponding channel c...

Xiaohu You, et al. ∙

research

∙ 10/14/2021

Solving Aspect Category Sentiment Analysis as a Text Generation Task

Aspect category sentiment analysis has attracted increasing research att...

Jian Liu, et al. ∙

research

∙ 07/03/2021

Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates

Federated Learning (FL) enables multiple distributed clients (e.g., mobi...

Zhuohang Li, et al. ∙

research

∙ 05/25/2021

OFEI: A Semi-black-box Android Adversarial Sample Attack Framework Against DLaaS

With the growing popularity of Android devices, Android malware is serio...

Guangquan Xu, et al. ∙

research

∙ 02/25/2021

CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results

As facial interaction systems are prevalently deployed, security and rel...

Yuanhan Zhang, et al. ∙

research

∙ 12/20/2020

A hybrid deep-learning approach for complex biochemical named entity recognition

Named entity recognition (NER) of chemicals and drugs is a critical doma...

Jian Liu, et al. ∙

research

∙ 11/10/2020

Natural Language Inference in Context – Investigating Contextual Reasoning over Long Texts

Natural language inference (NLI) is a fundamental NLP task, investigatin...

Hanmeng Liu, et al. ∙

research

∙ 07/16/2020

LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

Machine reading is a fundamental task for testing the capability of natu...

Jian Liu, et al. ∙

research

∙ 06/10/2020

Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis

Multi-source unsupervised domain adaptation (MS-UDA) for sentiment analy...

Yong Dai, et al. ∙

research

∙ 04/26/2020

Enabling Fast and Universal Audio Adversarial Attack Using Generative Model

Recently, the vulnerability of DNN-based audio systems to adversarial at...

Yi Xie, et al. ∙

research

∙ 03/04/2020

Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems

As the popularity of voice user interface (VUI) exploded in recent years...

Yi Xie, et al. ∙

research

∙ 11/28/2019

Free-riders in Federated Learning: Attacks and Defenses

Federated learning is a recently proposed paradigm that enables multiple...

Jierui Lin, et al. ∙

research

∙ 09/14/2019

Adversarial Attack on Skeleton-based Human Action Recognition

Deep learning models achieve impressive performance for skeleton-based h...

Jian Liu, et al. ∙

research

∙ 07/12/2019

Spearphone: A Speech Privacy Exploit via Accelerometer-Sensed Reverberations from Smartphone Loudspeakers

In this paper, we build a speech privacy attack that exploits speech rev...

S Abhishek Anand, et al. ∙

research

∙ 06/01/2019

Temporally Coherent Full 3D Mesh Human Pose Recovery from Monocular Video

Advances in Deep Learning have recently made it possible to recover full...

Jian Liu, et al. ∙

research

∙ 05/29/2019

Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation

When purchasing appearance-first products, e.g., clothes, product appear...

Jian Liu, et al. ∙

research

∙ 05/24/2019

Making Speculative BFT Resilient with Trusted Monotonic Counters

Consensus mechanisms used by popular distributed ledgers are highly scal...

Lachlan J. Gunn, et al. ∙

research

∙ 05/13/2019

Impossibility of Full Decentralization in Permissionless Blockchains

Bitcoin uses blockchain technology and proof-of-work (PoW) mechanism whe...

Yujin Kwon, et al. ∙

research

∙ 02/12/2019

Effects of empathy on the evolution of fairness in group-structured populations

The ultimatum game has been a prominent paradigm in studying the evoluti...

Yanling Zhang, et al. ∙

research

∙ 12/17/2018

Latent Dirichlet Allocation in Generative Adversarial Networks

Mode collapse is one of the key challenges in the training of Generative...

Lili Pan, et al. ∙

research

∙ 11/19/2018

iQIYI-VID: A Large Dataset for Multi-modal Person Identification

Person identification in the wild is very challenging due to great varia...

Yuanliu Liu, et al. ∙

research

∙ 07/31/2018

Caging Loops in Shape Embedding Space: Theory and Computation

We propose to synthesize feasible caging grasps for a target object thro...

Jian Liu, et al. ∙

research

∙ 06/02/2018

Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction

Time series prediction has been studied in a variety of domains. However...

Yunzhe Tao, et al. ∙

research

∙ 01/05/2018

Understanding Android Obfuscation Techniques: A Large-Scale Investigation in the Wild

In this paper, we seek to better understand Android obfuscation and depi...

Shuaike Dong, et al. ∙

research

∙ 11/16/2017

Skepxels: Spatio-temporal Image Representation of Human Skeleton Joints for Action Recognition

Human skeleton joints are popular for action analysis since they can be ...

Jian Liu, et al. ∙

research

∙ 11/16/2017

Defense against Universal Adversarial Perturbations

Recent advances in Deep Learning show the existence of image-agnostic qu...

Naveed Akhtar, et al. ∙

research

∙ 09/15/2017

Viewpoint Invariant Action Recognition using RGB-D Videos

In video-based action recognition, viewpoint variations often pose major...

Jian Liu, et al. ∙

research

∙ 07/04/2017

Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition

We propose Human Pose Models that represent RGB and depth images of huma...

Jian Liu, et al. ∙

Jian Liu

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