no code implementations • 28 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.
no code implementations • 25 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.
no code implementations • 14 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.
1 code implementation • 21 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.
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.
1 code implementation • starsem 2023 • An Wang, Junfeng Jiang, Youmi Ma, Ao Liu, Naoaki Okazaki
Aspect sentiment quad prediction (ASQP) analyzes the aspect terms, opinion terms, sentiment polarity, and aspect categories in a text.
Ranked #3 on Aspect-Based Sentiment Analysis (ABSA) on ASQP
no code implementations • 12 Jun 2023 • Ao Liu, Wenshan Li, Tao Li, Beibei Li, Hanyuan Huang, Guangquan Xu, Pan Zhou
In this paper, we propose the Graph Agent Network (GAgN) to address the aforementioned vulnerabilities of GNNs.
no code implementations • 17 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.
no code implementations • 14 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.
1 code implementation • COLING 2022 • Yidong Wang, Hao Wu, Ao Liu, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki, Manabu Okumura, Yue Zhang
Limited labeled data increase the risk of distribution shift between test data and training data.
no code implementations • 27 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.
1 code implementation • 28 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.
1 code implementation • 25 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.
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)
no code implementations • 15 Feb 2022 • An Wang, Ao Liu, Hieu Hanh Le, Haruo Yokota
Entity-relation extraction aims to jointly solve named entity recognition (NER) and relation extraction (RE).
no code implementations • 24 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.
no code implementations • 17 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.
no code implementations • 12 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.
no code implementations • 11 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.
no code implementations • 4 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.
no code implementations • 4 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.
no code implementations • 4 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.
1 code implementation • 6 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.
no code implementations • 6 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.
no code implementations • 6 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.
no code implementations • 12 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.
no code implementations • 15 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.
no code implementations • 9 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.
no code implementations • 18 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.