1 code implementation • 13 Sep 2023 • Ruihai Wu, Chenrui Tie, Yushi Du, Yan Zhao, Hao Dong
Shape assembly aims to reassemble parts (or fragments) into a complete object, which is a common task in our daily life.
1 code implementation • 9 Aug 2023 • Xubo Liu, Qiuqiang Kong, Yan Zhao, Haohe Liu, Yi Yuan, Yuzhuo Liu, Rui Xia, Yuxuan Wang, Mark D. Plumbley, Wenwu Wang
In this work, we introduce AudioSep, a foundation model for open-domain audio source separation with natural language queries.
no code implementations • 25 Jul 2023 • Chen Zheng, huan zhang, Yan Zhao, Yuxuan Lai
To address these concerns, we propose a coherence scoring model consisting of a regression model with two feature extractors: a local coherence discriminative model and a punctuation correction model.
no code implementations • 25 Jun 2023 • Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang
The detection of the underlying shopping intentions of users based on their historical interactions is a crucial aspect for e-commerce platforms, such as Amazon, to enhance the convenience and efficiency of their customers' shopping experiences.
no code implementations • 9 May 2023 • Xin Shen, Yan Zhao, Sujan Perera, Yujia Liu, Jinyun Yan, Mitchell Goodman
We propose a deep learning based bandit algorithm that incorporates historical shopping behavior, customer latent shopping goals, and the correlation between customers and content categories.
1 code implementation • 23 Feb 2023 • Zhichen Lai, Dalin Zhang, Huan Li, Christian S. Jensen, Hua Lu, Yan Zhao
Many deep learning models have been proposed to improve the accuracy of CTS forecasting.
Ranked #1 on
Traffic Prediction
on PeMS08
(FLOPs(M) metric)
Correlated Time Series Forecasting
Multivariate Time Series Forecasting
+3
no code implementations • 17 Feb 2023 • Yan Zhao, Jincen Wang, Yuan Zong, Wenming Zheng, Hailun Lian, Li Zhao
In this paper, we propose a novel deep transfer learning method called deep implicit distribution alignment networks (DIDAN) to deal with cross-corpus speech emotion recognition (SER) problem, in which the labeled training (source) and unlabeled testing (target) speech signals come from different corpora.
no code implementations • 2 Feb 2023 • Lingli He, Jiahui Sun, Yiwei Gao, Bin Li, Yuhang Wang, Yanli Dong, Weidong An, Hang Li, Bei Yang, Yuhan Ge, Xuejun Cai Zhang, Yun Stone Shi, Yan Zhao
Glutamate-gated kainate receptors (KARs) are ubiquitous in the central nervous system of vertebrates, mediate synaptic transmission on post-synapse, and modulate transmitter release on pre-synapse.
no code implementations • 22 Oct 2022 • Cheng Lu, Wenming Zheng, Hailun Lian, Yuan Zong, Chuangao Tang, Sunan Li, Yan Zhao
The F-Encoder and T-Encoder model the correlations within frequency bands and time frames, respectively, and they are embedded into a time-frequency joint learning strategy to obtain the time-frequency patterns for speech emotions.
no code implementations • 10 Sep 2022 • Yan Zhao, Liwei Deng, Xuanhao Chen, Chenjuan Guo, Bin Yang, Tung Kieu, Feiteng Huang, Torben Bach Pedersen, Kai Zheng, Christian S. Jensen
The continued digitization of societal processes translates into a proliferation of time series data that cover applications such as fraud detection, intrusion detection, and energy management, where anomaly detection is often essential to enable reliability and safety.
no code implementations • 22 Aug 2022 • Dalin Zhang, KaiXuan Chen, Yan Zhao, Bin Yang, Lina Yao, Christian S. Jensen
A key challenge is that while the application of deep models often incurs substantial memory and computational costs, edge devices typically offer only very limited storage and computational capabilities that may vary substantially across devices.
no code implementations • 11 Aug 2022 • Weizhu Qian, Dalin Zhang, Yan Zhao, Kai Zheng, James J. Q. Yu
To achieve this, we develop Deep Spatio-Temporal Uncertainty Quantification (DeepSTUQ), which can estimate both aleatoric and epistemic uncertainty.
no code implementations • 5 Jul 2022 • Yan Zhao, Ruihai Wu, Zhehuan Chen, Yourong Zhang, Qingnan Fan, Kaichun Mo, Hao Dong
It is essential yet challenging for future home-assistant robots to understand and manipulate diverse 3D objects in daily human environments.
no code implementations • 13 Jun 2022 • Yan Huang, Jizheng Xu, Li Zhang, Yan Zhao, Li Song
Inspired by rate control algorithms, we propose a scheme to precisely control the intra encoding complexity of VVC.
1 code implementation • 12 Apr 2022 • Haohe Liu, Xubo Liu, Qiuqiang Kong, Qiao Tian, Yan Zhao, DeLiang Wang, Chuanzeng Huang, Yuxuan Wang
Speech restoration aims to remove distortions in speech signals.
no code implementations • 7 Apr 2022 • Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng
This is an extended version of "Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection", to appear in IEEE ICDE 2022.
no code implementations • 18 Jan 2022 • Yan Zhao, Lingjun Zhao, Zhong Liu, Dewen Hu, Gangyao Kuang, Li Liu
Aircraft detection in Synthetic Aperture Radar (SAR) imagery is a challenging task in SAR Automatic Target Recognition (SAR ATR) areas due to aircraft's extremely discrete appearance, obvious intraclass variation, small size and serious background's interference.
no code implementations • 13 Sep 2021 • Chunzhi Gu, Yan Zhao, Chao Zhang
Human motion prediction, which plays a key role in computer vision, generally requires a past motion sequence as input.
no code implementations • 14 Aug 2021 • Boning Liu, Yan Zhao, Xiaomeng Jiang, Shigang Wang, Jian Wei
A 4-D Epanechnikov mixture regression (4-D EMR) was proposed based on this 4-D EK, and a 4-D adaptive model selection (4-D AMLS) algorithm was designed to realize the optimal modeling for a pseudo video sequence (PVS) of the extracted key-EIA.
no code implementations • ICLR 2022 • Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas Guibas, Hao Dong
In this paper, we propose object-centric actionable visual priors as a novel perception-interaction handshaking point that the perception system outputs more actionable guidance than kinematic structure estimation, by predicting dense geometry-aware, interaction-aware, and task-aware visual action affordance and trajectory proposals.
no code implementations • 24 Jun 2021 • Zhenhua Deng, Yan Zhao
The multi-cluster games are addressed in this paper, where all players team up with the players in the cluster that they belong to, and compete against the players in other clusters to minimize the cost function of their own cluster.
no code implementations • 11 Jun 2021 • Liwei Deng, Xuanhao Chen, Yan Zhao, Kai Zheng
Monitoring complex systems results in massive multivariate time series data, and anomaly detection of these data is very important to maintain the normal operation of the systems.
no code implementations • 3 Jun 2021 • Boning Liu, Yan Zhao, Xiaomeng Jiang, Shigang Wang
We propose a three-dimensional (3-D) Epanechnikov Mixture Regression (EMR) based on our Epanechnikov Kernel (EK) and realize a complete framework for image coding.
no code implementations • 6 May 2021 • Xintao Yan, Yan Zhao, Henry X. Liu
Moreover, for the low coverage problem, which cannot be handled by most existing methods, the proposed model can also achieve high accuracy.
no code implementations • 13 Apr 2021 • Yan Zhao, Weicong Chen, Xu Tan, Kai Huang, Jihong Zhu
The adaptive adjusting term is composed of two complementary factors: 1) quantity factor, which pays more attention to tail classes, and 2) difficulty factor, which adaptively pays more attention to hard instances in the training process.
no code implementations • 25 Feb 2021 • Yan Zhao, Weihao Zhang, Enyi Tang, Haipeng Cai, Xi Guo, Na Meng
This paper presents LIT -- our lightweight approach to generalize playtesting tactics from manual testing, and to adopt the generalized tactics to automate game testing.
Software Engineering
no code implementations • 15 Sep 2020 • Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu
To address these problems, we propose a Stratified and Time-aware Sampling based Adaptive Ensemble Learning framework, called STS-AEL, to improve the accuracy of streaming recommendations.
no code implementations • 14 Sep 2020 • Yan Zhao, Shoujin Wang, Yan Wang, Hongwei Liu, Weizhe Zhang
In VRS-DWMoE, we first devise variational and reservoir-enhanced sampling to wisely complement new data with historical data, and thus address the user preference drift issue while capturing long-term user preferences.
no code implementations • 11 Jan 2019 • Yan Zhao, Lu Liu, Chunhua Liu, Ruoyao Yang, Dong Yu
We introduce a new task named Story Ending Generation (SEG), whic-h aims at generating a coherent story ending from a sequence of story plot.
no code implementations • 8 Jan 2019 • Chunhua Liu, Yan Zhao, Qingyi Si, Haiou Zhang, Bohan Li, Dong Yu
From the experimental results, we can conclude that the difference fusion is comparable with union fusion, and the similarity fusion needs to be activated by the union fusion.
no code implementations • 3 Oct 2018 • Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Liu Hanwen, Pablo Navarrete Michelini, Zhu Dan, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Nimisha Thekke Madam, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung
This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones.
no code implementations • SEMEVAL 2018 • Meiqian Zhao, Chunhua Liu, Lu Liu, Yan Zhao, Dong Yu
To comprehend an argument and fill the gap between claims and reasons, it is vital to find the implicit supporting warrants behind.
no code implementations • 12 Sep 2017 • Yan Zhao, Xiao Fang, David Simchi-Levi
The problem of constructing such models from randomized experiments data is known as Uplift Modeling in the literature.
2 code implementations • 23 May 2017 • Yan Zhao, Xiao Fang, David Simchi-Levi
It is impossible to know whether the chosen treatment is optimal for an individual subject because response under alternative treatments is unobserved.