Search Results for author: Yifan Chen

Found 41 papers, 19 papers with code

Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue

no code implementations23 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.

Language Modelling Large Language Model +1

Sampling via Gradient Flows in the Space of Probability Measures

no code implementations5 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.

Variational Inference

Pixel Adapter: A Graph-Based Post-Processing Approach for Scene Text Image Super-Resolution

1 code implementation16 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.

Graph Attention Image Super-Resolution

NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning

1 code implementation18 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.

Language Modelling Natural Language Understanding +1

A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening

1 code implementation15 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.

Graph Classification regression

Error Analysis of Kernel/GP Methods for Nonlinear and Parametric PDEs

no code implementations8 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.

Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes

1 code implementation3 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.

Gaussian Processes

A Flexible Multi-view Multi-modal Imaging System for Outdoor Scenes

no code implementations21 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.

3D Object Detection object-detection

Robust convex biclustering with a tuning-free method

1 code implementation6 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.

Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning

1 code implementation26 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.

Language Modelling Natural Language Understanding +1

Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations

1 code implementation13 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.

Microwave Chirality Imaging for the Early Diagnosis of Neurological Degenerative Diseases

no code implementations9 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.

Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks

1 code implementation1 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.

Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Dataset

no code implementations31 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

Spatio-temporal Gait Feature with Global Distance Alignment

no code implementations7 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.

Gait Recognition

Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences

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.

Skyformer: Remodel Self-Attention with Gaussian Kernel and Nyström Method

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.

Revisiting Layer-wise Sampling in Fast Training for Graph Convolutional Networks

no code implementations29 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.

A FAIR and AI-ready Higgs boson decay dataset

no code implementations4 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.


Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method

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.

Solving and Learning Nonlinear PDEs with Gaussian Processes

2 code implementations24 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.

Gaussian Processes

Fast Statistical Leverage Score Approximation in Kernel Ridge Regression

no code implementations9 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.


Accumulations of Projections--A Unified Framework for Random Sketches in Kernel Ridge Regression

no code implementations6 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.


A Corpus of Very Short Scientific Summaries

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.

Pre-Trained Models for Heterogeneous Information Networks

no code implementations7 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.

Clustering Link Prediction +3

Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation

no code implementations22 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.

BIG-bench Machine Learning

Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation

no code implementations9 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.

Image-to-Image Translation Translation

Regularized Ensembles and Transferability in Adversarial Learning

no code implementations5 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.

Run-and-Inspect Method for Nonconvex Optimization and Global Optimality Bounds for R-Local Minimizers

no code implementations22 Nov 2017 Yifan Chen, Yuejiao Sun, Wotao Yin

If no sufficient decrease is found, the current point is called an approximate $R$-local minimizer.

Leveraging High-Dimensional Side Information for Top-N Recommendation

1 code implementation6 Feb 2017 Yifan Chen, Xiang Zhao

Top-$N$ recommender systems typically utilize side information to address the problem of data sparsity.

Information Retrieval

Content-Based Top-N Recommendation using Heterogeneous Relations

no code implementations27 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.

Recommendation Systems

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