Search Results for author: Ao Liu

Found 29 papers, 7 papers with code

GraphPub: Generation of Differential Privacy Graph with High Availability

no code implementations28 Feb 2024 Wanghan Xu, Bin Shi, Ao Liu, Jiqiang Zhang, Bo Dong

In recent years, with the rapid development of graph neural networks (GNN), more and more graph datasets have been published for GNN tasks.

Analog Beamforming for In-Band Full-Duplex Phased Arrays with Quantized Phase Shifters under a Per-Antenna Received Power Constraint

no code implementations25 Jan 2024 Ao Liu, Ian P. Roberts, Taneli Riihonen, Weixing Sheng

This letter develops a novel transmit beamforming (BF) design for canceling self-interference (SI) in analog in-band full-duplex phased arrays.

Towards Inductive Robustness: Distilling and Fostering Wave-induced Resonance in Transductive GCNs Against Graph Adversarial Attacks

no code implementations14 Dec 2023 Ao Liu, Wenshan Li, Tao Li, Beibei Li, Hanyuan Huang, Pan Zhou

We then prove that merely three MP iterations within GCNs can induce signal resonance between nodes and edges, manifesting as a coupling between nodes and their distillable surrounding local subgraph.

A Survey on Multimodal Large Language Models for Autonomous Driving

1 code implementation21 Nov 2023 Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Yang Zhou, Kaizhao Liang, Jintai Chen, Juanwu Lu, Zichong Yang, Kuei-Da Liao, Tianren Gao, Erlong Li, Kun Tang, Zhipeng Cao, Tong Zhou, Ao Liu, Xinrui Yan, Shuqi Mei, Jianguo Cao, Ziran Wang, Chao Zheng

We first introduce the background of Multimodal Large Language Models (MLLMs), the multimodal models development using LLMs, and the history of autonomous driving.

Autonomous Driving

Elastic Information Bottleneck

no code implementations Mathematics 2022 Yuyan Ni, Yanyan Lan, Ao Liu, ZhiMing Ma

Comparing IB and DIB on these terms, we prove that DIB's SG bound is tighter than IB's while DIB's RD is larger than IB's.

Domain Adaptation Representation Learning +2

FedCliP: Federated Learning with Client Pruning

no code implementations17 Jan 2023 Beibei Li, Zerui Shao, Ao Liu, Peiran Wang

The prevalent communication efficient federated learning (FL) frameworks usually take advantages of model gradient compression or model distillation.

Federated Learning

THMA: Tencent HD Map AI System for Creating HD Map Annotations

no code implementations14 Dec 2022 Kun Tang, Xu Cao, Zhipeng Cao, Tong Zhou, Erlong Li, Ao Liu, Shengtao Zou, Chang Liu, Shuqi Mei, Elena Sizikova, Chao Zheng

THMA has been deployed by the Tencent Map team to provide services to downstream companies and users, serving over 1, 000 labeling workers and producing more than 30, 000 kilometers of HD map data per day at most.

Active Learning Weakly-supervised Learning

Differentially Private Condorcet Voting

no code implementations27 Jun 2022 Zhechen Li, Ao Liu, Lirong Xia, Yongzhi Cao, Hanpin Wang

Designing private voting rules is an important and pressing problem for trustworthy democracy.

A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks

1 code implementation28 May 2022 Yu Pan, Zeyong Su, Ao Liu, Jingquan Wang, Nannan Li, Zenglin Xu

To address this problem, we propose a universal weight initialization paradigm, which generalizes Xavier and Kaiming methods and can be widely applicable to arbitrary TCNNs.

Tensor Decomposition

PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation

1 code implementation25 May 2022 Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang

However, directly learning the logical inference knowledge from table-text pairs is very difficult for neural models because of the ambiguity of natural language and the scarcity of parallel data.

Table-to-Text Generation

Semi-Supervised Formality Style Transfer with Consistency Training

1 code implementation ACL 2022 Ao Liu, An Wang, Naoaki Okazaki

In this work, we propose a simple yet effective semi-supervised framework to better utilize source-side unlabeled sentences based on consistency training.

 Ranked #1 on Formality Style Transfer on GYAFC (using extra training data)

Formality Style Transfer Sentence

Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks

no code implementations24 Jan 2022 Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang

Since a vast number of tables can be easily collected from web pages, spreadsheets, PDFs, and various other document types, a flurry of table pre-training frameworks have been proposed following the success of text and images, and they have achieved new state-of-the-arts on various tasks such as table question answering, table type recognition, column relation classification, table search, formula prediction, etc.

Denoising Question Answering +2

Personalized Lane Change Decision Algorithm Using Deep Reinforcement Learning Approach

no code implementations17 Dec 2021 Daofei Li, Ao Liu

To develop driving automation technologies for human, a human-centered methodology should be adopted for ensured safety and satisfactory user experience.

reinforcement-learning Reinforcement Learning (RL)

Improving Logical-Level Natural Language Generation with Topic-Conditioned Data Augmentation and Logical Form Generation

no code implementations12 Dec 2021 Ao Liu, Congjian Luo, Naoaki Okazaki

We further introduce logical form generation (LG), a dual task of Logic2text that requires generating a valid logical form based on a text description of a table.

Data Augmentation Text Generation +1

Personalized Highway Pilot Assist Considering Leading Vehicle's Lateral Behaviours

no code implementations11 Dec 2021 Daofei Li, Ao Liu

Drivers are clustered into two driving style groups referring to their driving Behaviours affected by the leading vehicle, and then the personalization parameters for every specific subject driver are optimized.

Safe, efficient and socially-compatible decision of automated vehicles: a case study of unsignalized intersection driving

no code implementations4 Nov 2021 Daofei Li, Ao Liu, Hao Pan, Wentao Chen

By investigating the causes of 4, 300 video clips of traffic accidents, we find that the limited dynamic visual field of drivers is one leading factor in inter-vehicle interaction accidents, especially in those involving trucks.

Decision Making

Smoothed Differential Privacy

no code implementations4 Jul 2021 Ao Liu, Yu-Xiang Wang, Lirong Xia

Differential privacy (DP) is a widely-accepted and widely-applied notion of privacy based on worst-case analysis.

Certifiably Robust Interpretation via Renyi Differential Privacy

no code implementations4 Jul 2021 Ao Liu, Xiaoyu Chen, Sijia Liu, Lirong Xia, Chuang Gan

The advantages of our Renyi-Robust-Smooth (RDP-based interpretation method) are three-folds.

Computational Efficiency

Categorizing Online Shopping Behavior from Cosmetics to Electronics: An Analytical Framework

1 code implementation6 Oct 2020 Sohini Roychowdhury, Wenxi Li, Ebrahim Alareqi, Akhilesh Pandita, Ao Liu, Joakim Soderberg

A success factor for modern companies in the age of Digital Marketing is to understand how customers think and behave based on their online shopping patterns.

Descriptive Marketing

Learning Mixtures of Random Utility Models with Features from Incomplete Preferences

no code implementations6 Jun 2020 Zhibing Zhao, Ao Liu, Lirong Xia

We extend mixtures of RUMs with features to models that generate incomplete preferences and characterize their identifiability.

Computational Efficiency

AN-GCN: An Anonymous Graph Convolutional Network Defense Against Edge-Perturbing Attack

no code implementations6 May 2020 Ao Liu, Beibei Li, Tao Li, Pan Zhou, Rui Wang

In this paper, we first generalize the formulation of edge-perturbing attacks and strictly prove the vulnerability of GCNs to such attacks in node classification tasks.

Adversarial Attack Classification +4

SFE-GACN: A Novel Unknown Attack Detection Method Using Intra Categories Generation in Embedding Space

no code implementations12 Apr 2020 Ao Liu, Yunpeng Wang, Tao Li

In this paper, we propose a novel unknown attack detection method based on Intra Categories Generation in Embedding Space, namely SFE-GACN, which might be the solution of few-shot problem.

Data Augmentation Generative Adversarial Network +1

Differential Privacy for Eye-Tracking Data

no code implementations15 Apr 2019 Ao Liu, Lirong Xia, Andrew Duchowski, Reynold Bailey, Kenneth Holmqvist, Eakta Jain

As large eye-tracking datasets are created, data privacy is a pressing concern for the eye-tracking community.

Towards Non-Parametric Learning to Rank

no code implementations9 Jul 2018 Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia

Next, we fix the problem by introducing a new algorithm with features constructed from "global information" of the data matrix.

Feature Engineering Learning-To-Rank

Automatically Extracting Action Graphs from Materials Science Synthesis Procedures

no code implementations18 Nov 2017 Sheshera Mysore, Edward Kim, Emma Strubell, Ao Liu, Haw-Shiuan Chang, Srikrishna Kompella, Kevin Huang, Andrew McCallum, Elsa Olivetti

In this work, we present a system for automatically extracting structured representations of synthesis procedures from the texts of materials science journal articles that describe explicit, experimental syntheses of inorganic compounds.

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