1 code implementation • 7 Jun 2023 • Xiangjue Dong, Yun He, Ziwei Zhu, James Caverlee
A key component of modern conversational systems is the Dialogue State Tracker (or DST), which models a user's goals and needs.
1 code implementation • CVPR 2023 • Yun He, Danhang Tang, yinda zhang, xiangyang xue, Yanwei Fu
Most existing point cloud upsampling methods have roughly three steps: feature extraction, feature expansion and 3D coordinate prediction.
1 code implementation • 7 Jul 2022 • Ziwei Zhu, Yun He, Xing Zhao, James Caverlee
and how to debias in this long-term dynamic process?
no code implementations • CVPR 2022 • Yun He, Xinlin Ren, Danhang Tang, yinda zhang, xiangyang xue, Yanwei Fu
To address this, we propose a novel deep point cloud compression method that preserves local density information.
1 code implementation • 14 Mar 2022 • Yun He, Xue Feng, Cheng Cheng, Geng Ji, Yunsong Guo, James Caverlee
Specifically, in each training iteration and adaptively for each part of the network, the gradient of an auxiliary loss is carefully reduced or enlarged to have a closer magnitude to the gradient of the target loss, preventing auxiliary tasks from being so strong that dominate the target task or too weak to help the target task.
no code implementations • 1 Mar 2022 • Yun He, Huaixiu Steven Zheng, Yi Tay, Jai Gupta, Yu Du, Vamsi Aribandi, Zhe Zhao, Yaguang Li, Zhao Chen, Donald Metzler, Heng-Tze Cheng, Ed H. Chi
Prompt-Tuning is a new paradigm for finetuning pre-trained language models in a parameter-efficient way.
no code implementations • WSDM 2021 • Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee
This paper connects equal opportunity to popularity bias in implicit recommenders to introduce the problem of popularity-opportunity bias.
1 code implementation • EMNLP 2020 • Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee
Knowledge of a disease includes information of various aspects of the disease, such as signs and symptoms, diagnosis and treatment.
1 code implementation • EMNLP 2020 • Yun He, Zhuoer Wang, Yin Zhang, Ruihong Huang, James Caverlee
We present a new benchmark dataset called PARADE for paraphrase identification that requires specialized domain knowledge.
1 code implementation • 30 Dec 2019 • Yun He, Yin Zhang, Weiwen Liu, James Caverlee
Complementary to methods that exploit specific content patterns (e. g., as in song-based playlists that rely on audio features), the proposed approach models the consistency of item lists based on human curation patterns, and so can be deployed across a wide range of varying item types (e. g., videos, images, books).
1 code implementation • 30 Dec 2019 • Yun He, Jianling Wang, Wei Niu, James Caverlee
User-generated item lists are a popular feature of many different platforms.
2 code implementations • 20 Jul 2017 • Hirokatsu Kataoka, Soma Shirakabe, Yun He, Shunya Ueta, Teppei Suzuki, Kaori Abe, Asako Kanezaki, Shin'ichiro Morita, Toshiyuki Yabe, Yoshihiro Kanehara, Hiroya Yatsuyanagi, Shinya Maruyama, Ryosuke Takasawa, Masataka Fuchida, Yudai Miyashita, Kazushige Okayasu, Yuta Matsuzaki
The paper gives futuristic challenges disscussed in the cvpaper. challenge.
no code implementations • 30 Aug 2016 • Hirokatsu Kataoka, Yun He, Soma Shirakabe, Yutaka Satoh
Information of time differentiation is extremely important cue for a motion representation.
no code implementations • 29 Aug 2016 • Yun He, Soma Shirakabe, Yutaka Satoh, Hirokatsu Kataoka
The objective of this paper is to evaluate "human action recognition without human".