1 code implementation • 2 Apr 2024 • Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia
Predicting click-through rates (CTR) is a fundamental task for Web applications, where a key issue is to devise effective models for feature interactions.
no code implementations • 28 Aug 2023 • Jun Yuan, Kaustav Bhattacharjee, Akm Zahirul Islam, Aritra Dasgupta
In this paper, we aim to enable transparency in ranking interpretation by using algorithmic rankers that learn from available data and by enabling human reasoning about the learned ranking differences using explainable AI (XAI) methods.
1 code implementation • 22 Aug 2023 • Jinpeng Wang, Ziyun Zeng, Yunxiao Wang, Yuting Wang, Xingyu Lu, Tianxiang Li, Jun Yuan, Rui Zhang, Hai-Tao Zheng, Shu-Tao Xia
We propose MISSRec, a multi-modal pre-training and transfer learning framework for SR. On the user side, we design a Transformer-based encoder-decoder model, where the contextual encoder learns to capture the sequence-level multi-modal user interests while a novel interest-aware decoder is developed to grasp item-modality-interest relations for better sequence representation.
1 code implementation • 27 Jul 2023 • Yangning Li, Tingwei Lu, Yinghui Li, Tianyu Yu, Shulin Huang, Hai-Tao Zheng, Rui Zhang, Jun Yuan
The Entity Set Expansion (ESE) task aims to expand a handful of seed entities with new entities belonging to the same semantic class.
no code implementations • 15 Jun 2023 • Jun Yuan, Rui Zhang
To solve the issue, we in-depth investigate the equity problem for MTL and find that regularizing relative contribution of different tasks (i. e. value of task-specific loss divides its raw gradient norm) in updating shared parameter can improve generalization performance of MTL.
no code implementations • 2 Jun 2023 • Haojie Wei, Jun Yuan, Rui Zhang, Yueguo Chen, Gang Wang
In this paper, we propose a highly accurate method for joint estimation of pitch, onset and offset, named JEPOO.
no code implementations • 20 Aug 2022 • Jun Yuan, Mengchen Liu, Fengyuan Tian, Shixia Liu
To ease this process, we develop ArchExplorer, a visual analysis method for understanding a neural architecture space and summarizing design principles.
1 code implementation • 10 May 2022 • Jay Cao, Jacky Chen, Soroush Farghadani, John Hull, Zissis Poulos, Zeyu Wang, Jun Yuan
We show how D4PG can be used in conjunction with quantile regression to develop a hedging strategy for a trader responsible for derivatives that arrive stochastically and depend on a single underlying asset.
1 code implementation • 8 Mar 2022 • Jun Yuan, Jesse Vig, Nazneen Rajani
Error analysis in NLP models is essential to successful model development and deployment.
1 code implementation • 19 Jan 2022 • Jun Yuan, Brian Barr, Kyle Overton, Enrico Bertini
We also contribute SuRE, a visual analytics (VA) system that integrates HSR and interactive surrogate rule visualizations.
no code implementations • 19 Sep 2021 • Jun Yuan, Oded Nov, Enrico Bertini
Rule sets are typically presented as a text-based list of logical statements (rules).
1 code implementation • 12 Sep 2021 • Oscar Gomez, Steffen Holter, Jun Yuan, Enrico Bertini
Rapid improvements in the performance of machine learning models have pushed them to the forefront of data-driven decision-making.
no code implementations • 1 Mar 2021 • Jun Yuan, Oded Nov, Enrico Bertini
Rule sets are typically presented as a text-based list of logical statements (rules).
no code implementations • 17 Dec 2020 • Vassilis. E. Lembessis, Koray Koksal, Jun Yuan, Mohamed Babiker
The beam is characterized by the existence of a longitudinal electric field component which is responsible for the appearance of a chiral term in the optical dipole potential energy.
Optics Atomic Physics
1 code implementation • ICLR 2021 • Bilal Alsallakh, Narine Kokhlikyan, Vivek Miglani, Jun Yuan, Orion Reblitz-Richardson
We show how feature maps in convolutional networks are susceptible to spatial bias.
1 code implementation • 5 Mar 2020 • Oscar Gomez, Steffen Holter, Jun Yuan, Enrico Bertini
The continued improvements in the predictive accuracy of machine learning models have allowed for their widespread practical application.
no code implementations • 8 Feb 2020 • Changjian Chen, Jun Yuan, Yafeng Lu, Yang Liu, Hang Su, Songtao Yuan, Shixia Liu
To better analyze and understand the OoD samples in context, we have developed a novel kNN-based grid layout algorithm motivated by Hall's theorem.
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 • CVPR 2016 • Jun Yuan, Bingbing Ni, Xiaokang Yang, Ashraf A. Kassim
We investigate the feature design and classification architectures in temporal action localization.
no code implementations • 2 Sep 2015 • Changzhi Luo, Bingbing Ni, Jun Yuan, Jian-Feng Wang, Shuicheng Yan, Meng Wang
This scheme leverages motion cues such as motion boundary and motion magnitude (in contrast, camera motion is usually considered as "noise" for most previous methods) to generate a more compact and discriminative set of object proposals, which are more closely related to the objects which are being manipulated.
no code implementations • 22 Dec 2014 • Jun Yuan, Bingbing Ni, Ashraf A. Kassim
This is a generic regression framework that fits many applications.