no code implementations • 23 Oct 2023 • Yuanxing Liu, Wei-Nan Zhang, Yifan Chen, Yuchi Zhang, Haopeng Bai, Fan Feng, Hengbin Cui, Yongbin Li, Wanxiang Che
This paper investigates the effectiveness of combining LLM and CRS in E-commerce pre-sales dialogues, proposing two collaboration methods: CRS assisting LLM and LLM assisting CRS.
no code implementations • 16 Oct 2023 • Yu Sun, Zihui Wu, Yifan Chen, Berthy T. Feng, Katherine L. Bouman
We also establish a theoretical analysis for characterizing the convergence of the PMC algorithms.
no code implementations • 5 Oct 2023 • Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Sebastian Reich, Andrew M Stuart
Our third contribution is to study, and develop efficient algorithms based on Gaussian approximations of the gradient flows; this leads to an alternative to particle methods.
1 code implementation • 16 Sep 2023 • Wenyu Zhang, Xin Deng, Baojun Jia, Xingtong Yu, Yifan Chen, Jin Ma, Qing Ding, Xinming Zhang
Additionally, we introduce the MLP-based Sequential Residual Block (MSRB) for robust feature extraction from text images, and a Local Contour Awareness loss ($\mathcal{L}_{lca}$) to enhance the model's perception of details.
1 code implementation • 18 Jul 2023 • Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He
Fine-tuning a pre-trained language model (PLM) emerges as the predominant strategy in many natural language processing applications.
1 code implementation • 15 Jun 2023 • Yifan Chen, Rentian Yao, Yun Yang, Jie Chen
The study includes a set of experiments to support the theory and method, including approximating the GW distance, preserving the graph spectrum, classifying graphs using spectral information, and performing regression using graph convolutional networks.
no code implementations • 8 May 2023 • Pau Batlle, Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M Stuart
We introduce a priori Sobolev-space error estimates for the solution of nonlinear, and possibly parametric, PDEs using Gaussian process and kernel based methods.
no code implementations • 5 May 2023 • Yuanxing Liu, Weinan Zhang, Baohua Dong, Yan Fan, Hang Wang, Fan Feng, Yifan Chen, Ziyu Zhuang, Hengbin Cui, Yongbin Li, Wanxiang Che
In this paper, we construct a user needs-centric E-commerce conversational recommendation dataset (U-NEED) from real-world E-commerce scenarios.
1 code implementation • 3 Apr 2023 • Yifan Chen, Houman Owhadi, Florian Schäfer
We present a sparse Cholesky factorization algorithm for such kernel matrices based on the near-sparsity of the Cholesky factor under a new ordering of Diracs and derivative measurements.
1 code implementation • 21 Feb 2023 • Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Sebastian Reich, Andrew M. Stuart
The flow in the Gaussian space may be understood as a Gaussian approximation of the flow.
no code implementations • 21 Feb 2023 • Meng Zhang, Wenxuan Guo, Bohao Fan, Yifan Chen, Jianjiang Feng, Jie zhou
The experimental results show that multi-view point clouds greatly improve 3D object detection and tracking accuracy regardless of complex and various outdoor environments.
1 code implementation • 6 Dec 2022 • Yifan Chen, Chunyin Lei, Chuanquan Li, Haiqiang Ma, Ningyuan Hu
Therefore, we propose a tuning-free method for automatically selecting the optimal robustification parameter with high efficiency.
1 code implementation • 26 Oct 2022 • Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur
Prefix-tuning, or more generally continuous prompt tuning, has become an essential paradigm of parameter-efficient transfer learning.
1 code implementation • 17 Aug 2022 • Gaofeng Cheng, Yifan Chen, Runyan Yang, Qingxuan Li, Zehui Yang, Lingxuan Ye, Pengyuan Zhang, Qingqing Zhang, Lei Xie, Yanmin Qian, Kong Aik Lee, Yonghong Yan
In the metric aspect, we design the new conversational DER (CDER) evaluation metric, which calculates the SD accuracy at the utterance level.
no code implementations • 15 Aug 2022 • Weipan Xu, Yu Gu, Yifan Chen, Yongtian Wang, Weihuan Deng, Xun Li
Housing quality is an essential proxy for regional wealth, security and health.
1 code implementation • 13 Jul 2022 • Yifan Chen, Ethan N. Epperly, Joel A. Tropp, Robert J. Webber
Randomly pivoted Cholesky (RPCholesky) is a natural algorithm for computing a rank-k approximation of an N x N positive semidefinite (psd) matrix.
no code implementations • 9 Jul 2022 • Wending Mai, Yifan Chen
We propose a system to visualize the chirality of the protein in brains, which would be helpful to diagnose early neurological degenerative diseases in vivo.
no code implementations • 28 Jun 2022 • Yifan Chen, Yifan Guo, Qingxuan Li, Gaofeng Cheng, Pengyuan Zhang, Yonghong Yan
For online speaker diarization, samples arrive incrementally, and the overall distribution of the samples is invisible.
1 code implementation • 1 Jun 2022 • Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu
This paper revisits the approach from a matrix approximation perspective, and identifies two issues in the existing layer-wise sampling methods: suboptimal sampling probabilities and estimation biases induced by sampling without replacement.
1 code implementation • Findings (NAACL) 2022 • Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur
The massive amount of trainable parameters in the pre-trained language models (PLMs) makes them hard to be deployed to multiple downstream tasks.
no code implementations • 31 Mar 2022 • Zehui Yang, Yifan Chen, Lei Luo, Runyan Yang, Lingxuan Ye, Gaofeng Cheng, Ji Xu, Yaohui Jin, Qingqing Zhang, Pengyuan Zhang, Lei Xie, Yonghong Yan
As a Mandarin speech dataset designed for dialog scenarios with high quality and rich annotations, MagicData-RAMC enriches the data diversity in the Mandarin speech community and allows extensive research on a series of speech-related tasks, including automatic speech recognition, speaker diarization, topic detection, keyword search, text-to-speech, etc.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
no code implementations • 7 Mar 2022 • Yifan Chen, Yang Zhao, Xuelong Li
In this paper, we try to enhance the discrimination of spatio-temporal gait features from two aspects: effective extraction of spatio-temporal gait features and reasonable refinement of extracted features.
1 code implementation • NAACL 2022 • Yifan Chen, Qi Zeng, Dilek Hakkani-Tur, Di Jin, Heng Ji, Yun Yang
Transformer-based models are not efficient in processing long sequences due to the quadratic space and time complexity of the self-attention modules.
1 code implementation • NeurIPS 2021 • Yifan Chen, Qi Zeng, Heng Ji, Yun Yang
Transformers are expensive to train due to the quadratic time and space complexity in the self-attention mechanism.
no code implementations • 29 Sep 2021 • Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu
To accelerate the training of graph convolutional networks (GCN), many sampling-based methods have been developed for approximating the embedding aggregation.
no code implementations • 4 Aug 2021 • Yifan Chen, E. A. Huerta, Javier Duarte, Philip Harris, Daniel S. Katz, Mark S. Neubauer, Daniel Diaz, Farouk Mokhtar, Raghav Kansal, Sang Eon Park, Volodymyr V. Kindratenko, Zhizhen Zhao, Roger Rusack
To enable the reusability of massive scientific datasets by humans and machines, researchers aim to adhere to the principles of findability, accessibility, interoperability, and reusability (FAIR) for data and artificial intelligence (AI) models.
1 code implementation • NeurIPS 2021 • Yifan Chen, Qi Zeng, Heng Ji, Yun Yang
Transformers are expensive to train due to the quadratic time and space complexity in the self-attention mechanism.
no code implementations • 7 May 2021 • Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, SungJun Yoon, Byungyeon Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, ZiRui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, Jose Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021.
3 code implementations • 23 Apr 2021 • Shuwei Shi, Qingyan Bai, Mingdeng Cao, Weihao Xia, Jiahao Wang, Yifan Chen, Yujiu Yang
Image quality assessment (IQA) aims to assess the perceptual quality of images.
2 code implementations • 24 Mar 2021 • Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M Stuart
The main idea of our method is to approximate the solution of a given PDE as the maximum a posteriori (MAP) estimator of a Gaussian process conditioned on solving the PDE at a finite number of collocation points.
no code implementations • 9 Mar 2021 • Yifan Chen, Yun Yang
Nystr\"om approximation is a fast randomized method that rapidly solves kernel ridge regression (KRR) problems through sub-sampling the n-by-n empirical kernel matrix appearing in the objective function.
no code implementations • 6 Mar 2021 • Yifan Chen, Yun Yang
Building a sketch of an n-by-n empirical kernel matrix is a common approach to accelerate the computation of many kernel methods.
1 code implementation • CONLL 2020 • Yifan Chen, Tamara Polajnar, Colin Batchelor, Simone Teufel
We present a new summarisation task, taking scientific articles and producing journal table-of-contents entries in the chemistry domain.
no code implementations • 7 Jul 2020 • Yang Fang, Xiang Zhao, Yifan Chen, Weidong Xiao, Maarten de Rijke
We propose a self-supervised pre-training and fine-tuning framework, PF-HIN, to capture the features of a heterogeneous information network.
no code implementations • 22 May 2020 • Yifan Chen, Houman Owhadi, Andrew M. Stuart
The purpose of this paper is to study two paradigms of learning hierarchical parameters: one is from the probabilistic Bayesian perspective, in particular, the empirical Bayes approach that has been largely used in Bayesian statistics; the other is from the deterministic and approximation theoretic view, and in particular the kernel flow algorithm that was proposed recently in the machine learning literature.
2 code implementations • 1 Mar 2020 • Yifan Chen, Han Wang, Xiaolu Sun, Bin Fan, Chu Tang
Visual attention has proven to be effective in improving the performance of person re-identification.
Ranked #8 on
Person Re-Identification
on Market-1501
no code implementations • 9 Sep 2019 • Zengming Shen, Yifan Chen, S. Kevin Zhou, Bogdan Georgescu, Xuqi Liu, Thomas S. Huang
A self-inverse network shares several distinct advantages: only one network instead of two, better generalization and more restricted parameter space.
no code implementations • 5 Dec 2018 • Yifan Chen, Yevgeniy Vorobeychik
Despite the considerable success of convolutional neural networks in a broad array of domains, recent research has shown these to be vulnerable to small adversarial perturbations, commonly known as adversarial examples.
no code implementations • 22 Nov 2017 • Yifan Chen, Yuejiao Sun, Wotao Yin
If no sufficient decrease is found, the current point is called an approximate $R$-local minimizer.
1 code implementation • 6 Feb 2017 • Yifan Chen, Xiang Zhao
Top-$N$ recommender systems typically utilize side information to address the problem of data sparsity.
Information Retrieval
no code implementations • 27 Jun 2016 • Yifan Chen, Xiang Zhao, Junjiao Gan, Junkai Ren, Yang Fang
In this paper, we propose a content-based top-$N$ recommender system by learning the global term weights in profiles.