1 code implementation • COLING 2022 • Rui Liu, Zheng Lin, Huishan Ji, Jiangnan Li, Peng Fu, Weiping Wang
Despite the significant progress on this task, it is extremely time-consuming and budget-unfriendly to collect sufficient high-quality labeled data for every new target under fully-supervised learning, whereas unlabeled data can be collected easier.
no code implementations • NAACL 2022 • Jiahao Cao, Rui Liu, Huailiang Peng, Lei Jiang, Xu Bai
Then we propose a differential sentiment loss instead of the cross-entropy loss to better classify the sentiments by distinguishing the different distances between sentiments.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +3
no code implementations • 21 Mar 2024 • Rui Liu, Wenguan Wang, Yi Yang
To achieve a comprehensive 3D representation with fine-grained details, we introduce a Volumetric Environment Representation (VER), which voxelizes the physical world into structured 3D cells.
no code implementations • 19 Mar 2024 • Rui Liu, Amisha Bhaskar, Pratap Tokekar
Notably, our model, trained solely on data from a transparent glass bowl containing granular cereals, showcases generalization ability when tested zero-shot on other bowl configurations with different types of food.
no code implementations • 13 Mar 2024 • Rui Liu, Erfaun Noorani, Pratap Tokekar, John S. Baras
In this study, we conduct a thorough iteration complexity analysis for the risk-sensitive policy gradient method, focusing on the REINFORCE algorithm and employing the exponential utility function.
1 code implementation • 5 Feb 2024 • Sheng Luo, Wei Chen, Wanxin Tian, Rui Liu, Luanxuan Hou, Xiubao Zhang, Haifeng Shen, Ruiqi Wu, Shuyi Geng, Yi Zhou, Ling Shao, Yi Yang, Bojun Gao, Qun Li, Guobin Wu
Foundation models have indeed made a profound impact on various fields, emerging as pivotal components that significantly shape the capabilities of intelligent systems.
no code implementations • 17 Jan 2024 • Yao Lu, Song Bian, Lequn Chen, Yongjun He, Yulong Hui, Matthew Lentz, Beibin Li, Fei Liu, Jialin Li, Qi Liu, Rui Liu, Xiaoxuan Liu, Lin Ma, Kexin Rong, Jianguo Wang, Yingjun Wu, Yongji Wu, Huanchen Zhang, Minjia Zhang, Qizhen Zhang, Tianyi Zhou, Danyang Zhuo
In this paper, we investigate the intersection of large generative AI models and cloud-native computing architectures.
no code implementations • 10 Jan 2024 • Kailong Tan, Yuxiang Zhou, Qianchen Xia, Rui Liu, Yong Chen
Keyframe extraction aims to sum up a video's semantics with the minimum number of its frames.
1 code implementation • 19 Dec 2023 • Rui Liu, Yifan Hu, Yi Ren, Xiang Yin, Haizhou Li
Conversational Speech Synthesis (CSS) aims to accurately express an utterance with the appropriate prosody and emotional inflection within a conversational setting.
1 code implementation • 18 Dec 2023 • Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu
Aspect Sentiment Triplet Extraction (ASTE) is an emerging task to extract a given sentence's triplets, which consist of aspects, opinions, and sentiments.
1 code implementation • 21 Sep 2023 • Rui Liu, Bin Liu, Haizhou Li
Prosodic phrasing is crucial to the naturalness and intelligibility of end-to-end Text-to-Speech (TTS).
1 code implementation • 21 Sep 2023 • Rui Liu, Jiatian Xi, Ziyue Jiang, Haizhou Li
Text-based speech editing (TSE) techniques are designed to enable users to edit the output audio by modifying the input text transcript instead of the audio itself.
1 code implementation • 21 Sep 2023 • Qi Fan, Haolin Zuo, Rui Liu, Zheng Lian, Guanglai Gao
Multimodal emotion recognition (MER) in practical scenarios presents a significant challenge due to the presence of incomplete data, such as missing or noisy data.
no code implementations • 17 Aug 2023 • Saleh Valizadeh Sotubadi, Rui Liu, Vinh Neguyen
After the training process, the Shapley criterion was used to explain the predictions of the trained ML classifier.
no code implementations • 14 Aug 2023 • Rui Liu, YuanYuan Chen, Anran Li, Yi Ding, Han Yu, Cuntai Guan
Though numerous research groups and institutes collect a multitude of EEG datasets for the same BCI task, sharing EEG data from multiple sites is still challenging due to the heterogeneity of devices.
no code implementations • ICCV 2023 • Rui Liu, Xiaohan Wang, Wenguan Wang, Yi Yang
Vision-language navigation (VLN), which entails an agent to navigate 3D environments following human instructions, has shown great advances.
no code implementations • 15 Jun 2023 • Qin Yang, Rui Liu
As a unifying concept in economics, game theory, and operations research, even in the Robotics and AI field, the utility is used to evaluate the level of individual needs, preferences, and interests.
no code implementations • 27 May 2023 • Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu
To cope with this problem, we propose a Dynamic heterogeneous Graph and Node Importance network (DGNI) learning framework, which fully leverages the dynamic heterogeneous graph and node importance information to predict future citation trends of newly published papers.
no code implementations • 25 May 2023 • Rui Liu, Alex Olshevsky
We provide a new non-asymptotic analysis of distributed temporal difference learning with linear function approximation.
1 code implementation • 25 May 2023 • Rui Liu, Jinhua Zhang, Guanglai Gao, Haizhou Li
In this paper, we propose a novel ADD model, termed as M2S-ADD, that attempts to discover audio authenticity cues during the mono-to-stereo conversion process.
no code implementations • 17 Apr 2023 • Rui Liu, Bin Yin, Ziyi Cao, Qianchen Xia, Yong Chen, Dell Zhang
Personalized news recommender systems help users quickly find content of their interests from the sea of information.
no code implementations • 10 Mar 2023 • Ziqian Wu, Xingzhe He, Yijun Li, Cheng Yang, Rui Liu, Shiying Xiong, Bo Zhu
We present a lightweighted neural PDE representation to discover the hidden structure and predict the solution of different nonlinear PDEs.
no code implementations • 27 Feb 2023 • Anran Li, Rui Liu, Ming Hu, Luu Anh Tuan, Han Yu
Federated learning (FL) enables multiple data owners to build machine learning models collaboratively without exposing their private local data.
no code implementations • 27 Dec 2022 • Wang Qi, Rui Liu, Yuan Zuo, Yong Chen, Dell Zhang
Creating an essay based on a few given topics is a challenging NLP task.
1 code implementation • 11 Dec 2022 • Kailin Liang, Bin Liu, Yifan Hu, Rui Liu, Feilong Bao, Guanglai Gao
Text-to-Speech (TTS) synthesis for low-resource languages is an attractive research issue in academia and industry nowadays.
1 code implementation • 13 Nov 2022 • Pengyu Liu, Tinghao Feng, Rui Liu
We introduce a graph polynomial that distinguishes tree structures to represent dependency grammar and a measure based on the polynomial representation to quantify syntax similarity.
1 code implementation • 28 Oct 2022 • Haizhong Zheng, Rui Liu, Fan Lai, Atul Prakash
We then propose a novel one-shot coreset selection method, Coverage-centric Coreset Selection (CCS), that jointly considers overall data coverage upon a distribution as well as the importance of each example.
1 code implementation • 27 Oct 2022 • Haolin Zuo, Rui Liu, Jinming Zhao, Guanglai Gao, Haizhou Li
Multimodal emotion recognition leverages complementary information across modalities to gain performance.
1 code implementation • 27 Oct 2022 • Yifan Hu, Rui Liu, Guanglai Gao, Haizhou Li
Therefore, we propose a novel expressive conversational TTS model, termed as FCTalker, that learn the fine and coarse grained context dependency at the same time during speech generation.
no code implementations • 27 Oct 2022 • Rui Liu, Haolin Zuo, De Hu, Guanglai Gao, Haizhou Li
Accented text-to-speech (TTS) synthesis seeks to generate speech with an accent (L2) as a variant of the standard version (L1).
no code implementations • 24 Sep 2022 • Muhan Na, Rui Liu, Feilong, Guanglai Gao
To answer this question, this paper investigates the utility of these two powerful techniques for CTMBC task combined with agglutinative characteristics of Mongolian language.
no code implementations • 22 Sep 2022 • Rui Liu, Berrak Sisman, Guanglai Gao, Haizhou Li
Accented TTS synthesis is challenging as L2 is different from L1 in both in terms of phonetic rendering and prosody pattern.
no code implementations • 22 Sep 2022 • Wuque Cai, Hongze Sun, Rui Liu, Yan Cui, Jun Wang, Yang Xia, Dezhong Yao, Daqing Guo
Spiking neural networks (SNNs) mimic brain computational strategies, and exhibit substantial capabilities in spatiotemporal information processing.
1 code implementation • 22 Sep 2022 • Yifan Hu, Pengkai Yin, Rui Liu, Feilong Bao, Guanglai Gao
This paper introduces a high-quality open-source text-to-speech (TTS) synthesis dataset for Mongolian, a low-resource language spoken by over 10 million people worldwide.
1 code implementation • Proceedings of the 39th International Conference on Machine Learning 2022 • Rui Liu, Barzan Mozafari
In this paper, we propose new gradient compression methods for large batch optimization, JointSpar and its variant JointSpar-LARS with layerwise adaptive learning rates, that jointly reduce both the computation and the communication cost.
2 code implementations • 16 Jul 2022 • Mingjie Li, Rui Liu, Guangsi Shi, Mingfei Han, Changling Li, Lina Yao, Xiaojun Chang, Ling Chen
To further enhance forecasting accuracy, we introduce a memory-driven decoder.
1 code implementation • 15 Jun 2022 • Rui Liu, Berrak Sisman, Björn Schuller, Guanglai Gao, Haizhou Li
In this paper, we propose a data-driven deep learning model, i. e. StrengthNet, to improve the generalization of emotion strength assessment for seen and unseen speech.
no code implementations • 28 May 2022 • Rui Liu, Young Jin Kim, Alexandre Muzio, Hany Hassan Awadalla
Sparsely activated transformers, such as Mixture of Experts (MoE), have received great interest due to their outrageous scaling capability which enables dramatical increases in model size without significant increases in computational cost.
no code implementations • 25 May 2022 • Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Aleš Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Fangya Li, Ruipeng Gang, Chenghua Li, Jinjing Li, Sai Ma, Chenming Liu, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park
The challenge is composed of two tracks with an emphasis on fidelity and complexity constraints: In Track 1, participants are asked to optimize objective fidelity scores while imposing a low-complexity constraint (i. e. solutions can not exceed a given number of operations).
no code implementations • 19 May 2022 • Rui Liu, Barzan Mozafari
Transformers achieve state-of-the-art performance for natural language processing tasks by pre-training on large-scale text corpora.
2 code implementations • 9 May 2022 • Wei Dai, Rui Liu, Tianyi Wu, Min Wang, Jianqin Yin, Jun Liu
Visual features of skin lesions vary significantly because the images are collected from patients with different lesion colours and morphologies by using dissimilar imaging equipment.
1 code implementation • 2 May 2022 • Jiangnan Li, Fandong Meng, Zheng Lin, Rui Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie zhou
Conversational Causal Emotion Entailment aims to detect causal utterances for a non-neutral targeted utterance from a conversation.
Ranked #1 on Causal Emotion Entailment on RECCON
no code implementations • 11 Mar 2022 • YaoWei Wang, Zhouxin Yang, Rui Liu, Deng Li, Yuandu Lai, Leyuan Fang, Yahong Han
Considering the diversity and complexity of scenes in intelligent city governance, we build a large-scale object detection benchmark for the smart city.
2 code implementations • 28 Feb 2022 • Dayang Wang, Fenglei Fan, Zhan Wu, Rui Liu, Fei Wang, Hengyong Yu
Furthermore, an overlapped inference mechanism is introduced to effectively eliminate the boundary artifacts that are common for encoder-decoder-based denoising models.
no code implementations • 15 Feb 2022 • Rui Liu, Pengwei Xing, Zichao Deng, Anran Li, Cuntai Guan, Han Yu
This has led to the rapid development of the emerging research field of federated graph neural networks (FedGNNs).
no code implementations • 16 Dec 2021 • Rui Liu, Yahong Han, YaoWei Wang, Qi Tian
In the second stage, augmented source and target data with pseudo labels are adopted to perform the self-training for prediction consistency.
1 code implementation • 6 Dec 2021 • Lielin Jiang, Na Wang, Qingqing Dang, Rui Liu, Baohua Lai
Different from the Single Image Super-Resolution(SISR) task, the key for Video Super-Resolution(VSR) task is to make full use of complementary information across frames to reconstruct the high-resolution sequence.
no code implementations • 1 Nov 2021 • Dazhou Guo, Jia Ge, Xianghua Ye, Senxiang Yan, Yi Xin, Yuchen Song, Bing-shen Huang, Tsung-Min Hung, Zhuotun Zhu, Ling Peng, Yanping Ren, Rui Liu, Gong Zhang, Mengyuan Mao, Xiaohua Chen, Zhongjie Lu, Wenxiang Li, Yuzhen Chen, Lingyun Huang, Jing Xiao, Adam P. Harrison, Le Lu, Chien-Yu Lin, Dakai Jin, Tsung-Ying Ho
Accurate organ at risk (OAR) segmentation is critical to reduce the radiotherapy post-treatment complications.
1 code implementation • NeurIPS 2021 • Koki Kawabata, Siddharth Bhatia, Rui Liu, Mohit Wadhwa, Bryan Hooi
In general, given a data stream of events with seasonal patterns that innovate over time, how can we effectively and efficiently forecast future events?
no code implementations • 7 Oct 2021 • Junchen Lu, Berrak Sisman, Rui Liu, Mingyang Zhang, Haizhou Li
The proposed VisualTTS adopts two novel mechanisms that are 1) textual-visual attention, and 2) visual fusion strategy during acoustic decoding, which both contribute to forming accurate alignment between the input text content and lip motion in input lip sequence.
1 code implementation • 7 Oct 2021 • Rui Liu, Berrak Sisman, Haizhou Li
The emotion strength of synthesized speech can be controlled flexibly using a strength descriptor, which is obtained by an emotion attribute ranking function.
1 code implementation • 4 Oct 2021 • Zhaojie Luo, Shoufeng Lin, Rui Liu, Jun Baba, Yuichiro Yoshikawa, Ishiguro Hiroshi
We note that the decoupling of emotional features from other speech information (such as speaker, content, etc.)
1 code implementation • ICCV 2021 • Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, Hongsheng Li
On the contrary, the soft composition operates by stitching different patches into a whole feature map where pixels in overlapping regions are summed up.
Ranked #3 on Video Inpainting on DAVIS
1 code implementation • Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2) 2021 • Mingjie Li, Wenjia Cai, Rui Liu, Yuetian Weng, Xiaoyun Zhao, Cong Wang, Xin Chen, Zhong Liu, Caineng Pan, Mengke Li, Yizhi Liu, Flora D Salim, Karin Verspoor, Xiaodan Liang, Xiaojun Chang
Researchers have explored advanced methods from computer vision and natural language processing to incorporate medical domain knowledge for the generation of readable medical reports.
1 code implementation • ICCV 2021 • Aming Wu, Rui Liu, Yahong Han, Linchao Zhu, Yi Yang
Secondly, domain-specific representations are introduced as the differences between the input and domain-invariant representations.
1 code implementation • CCL 2021 • Quanye Jia, Rui Liu, Jianying Lin
It not only makes use of the relationships among the sentences, but also the relationships between the given query and the sentences.
1 code implementation • 3 Jul 2021 • Hao Peng, Pei Chen, Rui Liu, Luonan Chen
Making predictions in a robust way is a difficult task only based on the observed data of a nonlinear system.
1 code implementation • 31 May 2021 • Kun Zhou, Berrak Sisman, Rui Liu, Haizhou Li
In this paper, we first provide a review of the state-of-the-art emotional voice conversion research, and the existing emotional speech databases.
no code implementations • 16 Apr 2021 • Rui Liu, Alex Olshevsky
In the global state model, we show that the convergence rate of our distributed one-shot averaging method matches the known convergence rate of TD(0).
1 code implementation • 14 Apr 2021 • Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, Hongsheng Li
Seamless combination of these two novel designs forms a better spatial-temporal attention scheme and our proposed model achieves better performance than state-of-the-art video inpainting approaches with significant boosted efficiency.
2 code implementations • 4 Apr 2021 • Rui Liu, Siddharth Bhatia, Bryan Hooi
Isconna does not actively explore or maintain pattern snippets; it instead measures the consecutive presence and absence of edge records.
no code implementations • 3 Apr 2021 • Rui Liu, Berrak Sisman, Haizhou Li
To our best knowledge, this is the first study of reinforcement learning in emotional text-to-speech synthesis.
1 code implementation • CVPR 2021 • Rui Liu, Yixiao Ge, Ching Lam Choi, Xiaogang Wang, Hongsheng Li
Conditional generative adversarial networks (cGANs) target at synthesizing diverse images given the input conditions and latent codes, but unfortunately, they usually suffer from the issue of mode collapse.
no code implementations • 29 Jan 2021 • Quanhao Zhang, Rui Liu, Yuming Wang, Zhenjun Zhou, Bin Zhuang, Xiaolei Li
But it is unclear how flux feeding influences coronal flux ropes that are wrapped by hyperbolic flux tubes (HFT), and whether it is able to cause the flux-rope eruption.
Solar and Stellar Astrophysics
no code implementations • 13 Jan 2021 • Rui Liu, Sen Liu, Xiaoli Zhang
To address the first problem, a physics-informed, data-driven model (PIM), which instead of directly using machine setting parameters to predict porosity levels of printed parts, it first interprets machine settings into physical effects, such as laser energy density and laser radiation pressure.
BIG-bench Machine Learning Physics-informed machine learning
no code implementations • 6 Jan 2021 • Bernhard Kliem, Jeongwoo Lee, Rui Liu, Stephen M. White, Chang Liu, Satoshi Masuda
We present evidence that a magnetic flux rope was formed before a coronal mass ejection (CME) and its associated long-duration flare during a pair of preceding confined eruptions and associated impulsive flares in a compound event in NOAA Active Region 12371.
Solar and Stellar Astrophysics
2 code implementations • 28 Oct 2020 • Kun Zhou, Berrak Sisman, Rui Liu, Haizhou Li
Emotional voice conversion aims to transform emotional prosody in speech while preserving the linguistic content and speaker identity.
Generative Adversarial Network Speech Emotion Recognition +2
no code implementations • 27 Oct 2020 • Rui Liu, Alex Olshevsky
Temporal difference learning with linear function approximation is a popular method to obtain a low-dimensional approximation of the value function of a policy in a Markov Decision Process.
no code implementations • NeurIPS 2020 • Rui Liu, Tianyi Wu, Barzan Mozafari
In this paper, we propose a generalization of Adam, called Adambs, that allows us to also adapt to different training examples based on their importance in the model's convergence.
no code implementations • 23 Oct 2020 • Rui Liu, Berrak Sisman, Haizhou Li
Attention-based end-to-end text-to-speech synthesis (TTS) is superior to conventional statistical methods in many ways.
3 code implementations • 17 Sep 2020 • Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos
Given a stream of graph edges from a dynamic graph, how can we assign anomaly scores to edges in an online manner, for the purpose of detecting unusual behavior, using constant time and memory?
no code implementations • 11 Aug 2020 • Rui Liu, Alex Olshevsky
We study alternating minimization for matrix completion in the simplest possible setting: completing a rank-one matrix from a revealed subset of the entries.
no code implementations • 11 Aug 2020 • Rui Liu, Berrak Sisman, Feilong Bao, Guanglai Gao, Haizhou Li
We propose a multi-task learning scheme for Tacotron training, that optimizes the system to predict both Mel spectrum and phrase breaks.
1 code implementation • 16 May 2020 • Hao Peng, Pei Chen, Rui Liu
Making accurate multi-step-ahead prediction for a complex system is a challenge for many practical applications, especially when only short-term time-series data are available.
no code implementations • CVPR 2020 • Rui Liu, Chengxi Yang, Wenxiu Sun, Xiaogang Wang, Hongsheng Li
Large-scale synthetic datasets are beneficial to stereo matching but usually introduce known domain bias.
no code implementations • 22 Apr 2020 • Rui Liu, Zheng Lin, Weiping Wang
Considering the different characteristics of extractive and generative methods, we propose to divide the keyphrase prediction into two subtasks, i. e., present keyphrase extraction (PKE) and absent keyphrase generation (AKG), to fully exploit their respective advantages.
no code implementations • 11 Feb 2020 • Boyi Song, Yuntao Peng, Ruijiao Luo, Rui Liu
With the attention transfer, a robot understands \textit{what} and \textit{where} human concerns are to identify and correct abnormal manipulations.
no code implementations • 10 Feb 2020 • Qifei Yu, Zhexin Shen, Yijiang Pang, Rui Liu
Due to heterogeneous robots inside a team and the resilient capabilities of robots, it is challenging to perform a task with an optimal balance between reasonable task allocations and maximum utilization of robot capability.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 7 Feb 2020 • Rui Liu, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin
As neural networks are increasingly employed in machine learning practice, how to efficiently share limited training resources among a diverse set of model training tasks becomes a crucial issue.
no code implementations • 2 Feb 2020 • Rui Liu, Berrak Sisman, Feilong Bao, Guanglai Gao, Haizhou Li
To address this problem, we propose a new training scheme for Tacotron-based TTS, referred to as WaveTTS, that has 2 loss functions: 1) time-domain loss, denoted as the waveform loss, that measures the distortion between the natural and generated waveform; and 2) frequency-domain loss, that measures the Mel-scale acoustic feature loss between the natural and generated acoustic features.
no code implementations • 7 Nov 2019 • Rui Liu, Berrak Sisman, Jingdong Li, Feilong Bao, Guanglai Gao, Haizhou Li
We first train a Tacotron2-based TTS model by always providing natural speech frames to the decoder, that serves as a teacher model.
no code implementations • 1 Nov 2019 • Yifei Wang, Rui Liu, Yong Chen, Hui Zhangs, Zhiwen Ye
Spectral Clustering is a popular technique to split data points into groups, especially for complex datasets.
no code implementations • IJCNLP 2019 • Yanfu Xu, Zheng Lin, Yuanxin Liu, Rui Liu, Weiping Wang, Dan Meng
Open-domain question answering (OpenQA) aims to answer questions based on a number of unlabeled paragraphs.
no code implementations • 7 Jul 2019 • Jianying Lin, Rui Liu, Quanye Jia
The JTMMR model can improve the effect of the manifold ranking method by using the better semantic feature.
no code implementations • CVPR 2019 • Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li
Flow-based generative models show great potential in image synthesis due to its reversible pipeline and exact log-likelihood target, yet it suffers from weak ability for conditional image synthesis, especially for multi-label or unaware conditions.
1 code implementation • 24 Jan 2019 • Rui Liu, Jun Yuan
With the wide application of time series databases (TSDB) in big data fields like cluster monitoring and industrial IoT, there have been developed a number of TSDBs for time series data management.
Databases
no code implementations • 15 Dec 2018 • Rui Liu, Tianyi Wu, Barzan Mozafari
There has been substantial research on sub-linear time approximate algorithms for Maximum Inner Product Search (MIPS).
no code implementations • COLING 2018 • Rui Liu, Feilong Bao, Guanglai Gao, HUI ZHANG, Yonghe Wang
In this paper, we first utilize the word embedding that focuses on sub-word units to the Mongolian Phrase Break (PB) prediction task by using Long-Short-Term-Memory (LSTM) model.
1 code implementation • 6 May 2018 • Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang
In this paper, we develop a generic feature-based recommendation model, called Discrete Factorization Machine (DFM), for fast and accurate recommendation.
no code implementations • ICLR 2018 • Rui Liu, Wei Wei, Weiguang Mao, Maria Chikina
Attention models have been intensively studied to improve NLP tasks such as machine comprehension via both question-aware passage attention model and self-matching attention model.
Ranked #31 on Question Answering on SQuAD1.1 dev
1 code implementation • 17 Aug 2017 • Tien Tuan Anh Dinh, Rui Liu, Meihui Zhang, Gang Chen, Beng Chin Ooi, Ji Wang
Blockchain technologies are gaining massive momentum in the last few years.
Databases Cryptography and Security
2 code implementations • 12 Mar 2017 • Tien Tuan Anh Dinh, Ji Wang, Gang Chen, Rui Liu, Beng Chin Ooi, Kian-Lee Tan
However, there is a clear lack of a systematic framework with which different systems can be analyzed and compared against each other.
Databases Cryptography and Security Distributed, Parallel, and Cluster Computing
no code implementations • EMNLP 2017 • Rui Liu, Junjie Hu, Wei Wei, Zi Yang, Eric Nyberg
Deep neural networks for machine comprehension typically utilizes only word or character embeddings without explicitly taking advantage of structured linguistic information such as constituency trees and dependency trees.
Ranked #40 on Question Answering on SQuAD1.1 dev
no code implementations • 30 Jan 2017 • Rui Liu, Xiaoli Zhang
However, a thorough review, that can reveal latest methodologies to use NL to facilitate human-robot cooperation, is missing.
no code implementations • 28 Jan 2017 • Rui Liu, Xiaoli Zhang
Natural-language-facilitated human-robot cooperation (NLC), in which natural language (NL) is used to share knowledge between a human and a robot for conducting intuitive human-robot cooperation (HRC), is continuously developing in the recent decade.
no code implementations • 20 Nov 2016 • Rui Liu, Xiaoli Zhang
To address this NL-based human-machine communication problem and enable the machines to appropriately execute tasks by following the end-user's NL instructions, we developed a Machine-Executable-Plan-Generation (exePlan) method.
no code implementations • 26 Sep 2016 • Rui Liu, Hossein Nejati, Seyed Hamid Safavi, Ngai-Man Cheung
We propose an algorithm to uncover the intrinsic low-rank component of a high-dimensional, graph-smooth and grossly-corrupted dataset, under the situations that the underlying graph is unknown.
no code implementations • 3 May 2013 • Deqing Wang, HUI ZHANG, Rui Liu, Weifeng Lv
Much work has been done on feature selection.