1 code implementation • EMNLP 2020 • Xiaobao Wu, Chunping Li, Yan Zhu, Yishu Miao
Topic models have been prevailing for many years on discovering latent semantics while modeling long documents.
no code implementations • 28 Apr 2024 • Fan Yao, Yiming Liao, Mingzhe Wu, Chuanhao Li, Yan Zhu, James Yang, Qifan Wang, Haifeng Xu, Hongning Wang
Driven by the new economic opportunities created by the creator economy, an increasing number of content creators rely on and compete for revenue generated from online content recommendation platforms.
1 code implementation • 1 Mar 2024 • Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, QinGhua Hu, Bingzhe Wu
Vision-language foundation models have exhibited remarkable success across a multitude of downstream tasks due to their scalability on extensive image-text paired datasets.
no code implementations • 24 Feb 2024 • Haotian Xia, Zhengbang Yang, Yuqing Wang, Rhys Tracy, Yun Zhao, Dongdong Huang, Zezhi Chen, Yan Zhu, Yuan-Fang Wang, Weining Shen
A deep understanding of sports, a field rich in strategic and dynamic content, is crucial for advancing Natural Language Processing (NLP).
no code implementations • 15 Jan 2024 • Mi Yan, Jiazhao Zhang, Yan Zhu, He Wang
Through iterative clustering of masks showing high view consensus, we generate a series of clusters, each representing a distinct 3D instance.
3D Instance Segmentation 3D Open-Vocabulary Instance Segmentation +6
1 code implementation • 3 Nov 2023 • Manwen Liao, Yan Zhu, Giulio Chiribella, Yuxiang Yang
Neural networks have shown their effectiveness in various tasks in the realm of quantum computing.
no code implementations • 18 Oct 2023 • Ya-Dong Wu, Yan Zhu, Yuexuan Wang, Giulio Chiribella
Through numerical experiments, we show that multi-task learning can be applied to sufficiently regular states to predict global properties, like string order parameters, from the observation of short-range correlations, and to distinguish between quantum phases that cannot be distinguished by single-task networks.
1 code implementation • 17 Oct 2023 • Shuo Wang, Yan Zhu, Xiaoyuan Luo, Zhiwei Yang, Yizhe Zhang, Peiyao Fu, Manning Wang, Zhijian Song, QuanLin Li, Pinghong Zhou, Yike Guo
EndoKED automates the transformation of raw colonoscopy records into image datasets with pixel-level annotation.
1 code implementation • 14 Aug 2023 • Yan Zhu, Junbao Zhuo, Bin Ma, Jiajia Geng, Xiaoming Wei, Xiaolin Wei, Shuhui Wang
We propose a model called OTI for ZSVR by employing orthogonal temporal interpolation and the matching loss based on VLMs.
Ranked #1 on Zero-Shot Action Recognition on UCF101
1 code implementation • 2 Aug 2023 • Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang
Acknowledging the recent advancements in explainable recommender systems that enhance users' understanding of recommendation mechanisms, we propose leveraging these advancements to improve user controllability.
no code implementations • 23 Dec 2022 • Haoran Wang, Yan Zhu, Wenzheng Qin, Yizhe Zhang, Pinghong Zhou, QuanLin Li, Shuo Wang, Zhijian Song
In addition, the released dataset can be used to perform 'stress' tests on established detection systems and encourages further research toward robust and reliable computer-aided endoscopic image analysis.
no code implementations • 3 Nov 2022 • Li Zhang, Yan Zhu, Yifeng Gao, Jessica Lin
Inspired by a recent work that tracks how the nearest neighbor of a time series subsequence changes over time, we introduce a new TSC definition which is much more robust to noise in the data, in the sense that they can better locate the evolving patterns while excluding the non-evolving ones.
no code implementations • 3 Nov 2022 • Ya-Dong Wu, Yan Zhu, Ge Bai, Yuexuan Wang, Giulio Chiribella
The task of testing whether two uncharacterized quantum devices behave in the same way is crucial for benchmarking near-term quantum computers and quantum simulators, but has so far remained open for continuous-variable quantum systems.
1 code implementation • 12 Oct 2022 • Qiyu Dai, Yan Zhu, Yiran Geng, Ciyu Ruan, Jiazhao Zhang, He Wang
In this work, we tackle 6-DoF grasp detection for transparent and specular objects, which is an important yet challenging problem in vision-based robotic systems, due to the failure of depth cameras in sensing their geometry.
no code implementations • 24 Apr 2022 • Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang
In this paper, we study the problem of explainable fairness, which helps to gain insights about why a system is fair or unfair, and guides the design of fair recommender systems with a more informed and unified methodology.
no code implementations • 28 Feb 2022 • Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong
Graph Convolutional Network (GCN) plays pivotal roles in many real-world applications.
no code implementations • 14 Feb 2022 • Yan Zhu, Ya-Dong Wu, Ge Bai, Dong-Sheng Wang, Yuexuan Wang, Giulio Chiribella
Existing networks are typically trained with experimental data gathered from the specific quantum state that needs to be characterized.
no code implementations • 1 Jan 2021 • Xinshi Chen, Yan Zhu, Haowen Xu, Muhan Zhang, Liang Xiong, Le Song
We propose a surprisingly simple but effective two-time-scale (2TS) model for learning user representations for recommendation.
1 code implementation • 27 Aug 2020 • Tigran Ishkhanov, Maxim Naumov, Xianjie Chen, Yan Zhu, Yuan Zhong, Alisson Gusatti Azzolini, Chonglin Sun, Frank Jiang, Andrey Malevich, Liang Xiong
In this paper we develop a novel recommendation model that explicitly incorporates time information.
no code implementations • 5 Nov 2018 • Chin-Chia Michael Yeh, Yan Zhu, Evangelos E. Papalexakis, Abdullah Mueen, Eamonn Keogh
Since its introduction, unsupervised representation learning has attracted a lot of attention from the research community, as it is demonstrated to be highly effective and easy-to-apply in tasks such as dimension reduction, clustering, visualization, information retrieval, and semi-supervised learning.
2 code implementations • 17 Oct 2018 • Hoang Anh Dau, Anthony Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, Eamonn Keogh
This paper introduces and will focus on the new data expansion from 85 to 128 data sets.
no code implementations • 15 Feb 2018 • Yan Zhu, Abdullah Mueen, Eamonn Keogh
Although there has been more than a decade of extensive research, there is still no technique to allow the discovery of time series motifs in the presence of missing data, despite the well-documented ubiquity of missing data in scientific, industrial, and medical datasets.
no code implementations • ICLR 2018 • Chin-Chia Michael Yeh, Yan Zhu, Evangelos E. Papalexakis, Abdullah Mueen, Eamonn Keogh
By reformulating the representation learning problem as a neighbor reconstruction problem, domain knowledge can be easily incorporated with appropriate definition of similarity or distance between objects.
no code implementations • 2 Dec 2017 • Yan Zhu, Shaoting Zhang, Dimitris Metaxas
In this paper, we introduce an interactive training method to improve the natural language conversation system for a visual grounding task.
3 code implementations • 19 Nov 2015 • Yuandong Tian, Yan Zhu
Against human players, the newest versions, darkfores2, achieve a stable 3d level on KGS Go Server as a ranked bot, a substantial improvement upon the estimated 4k-5k ranks for DCNN reported in Clark & Storkey (2015) based on games against other machine players.
2 code implementations • CVPR 2017 • Yan Zhu, Yuandong Tian, Dimitris Mexatas, Piotr Dollár
Specifically, we create an amodal segmentation of each image: the full extent of each region is marked, not just the visible pixels.