Search Results for author: Yifan Chen

Found 71 papers, 38 papers with code

ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration

1 code implementation10 Mar 2025 Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He

Mixture-of-Experts (MoE) Transformer, the backbone architecture of multiple phenomenal language models, leverages sparsity by activating only a fraction of model parameters for each input token.

Large model enhanced computational ghost imaging

1 code implementation10 Mar 2025 Yifan Chen, Hongjun An, Zhe Sun, Tong Tian, Mingliang Chen, Christian Spielmann, Xuelong Li

Ghost imaging (GI) achieves 2D image reconstruction through high-order correlation of 1D bucket signals and 2D light field information, particularly demonstrating enhanced detection sensitivity and high-quality image reconstruction via efficient photon collection in scattering media.

Image Reconstruction model +1

CaseGen: A Benchmark for Multi-Stage Legal Case Documents Generation

1 code implementation25 Feb 2025 Haitao Li, Jiaying Ye, Yiran Hu, Jia Chen, Qingyao Ai, Yueyue Wu, Junjie Chen, Yifan Chen, Cheng Luo, Quan Zhou, Yiqun Liu

To the best of our knowledge, CaseGen is the first benchmark designed to evaluate LLMs in the context of legal case document generation.

Legal Reasoning

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

no code implementations20 Feb 2025 M-A-P Team, Xinrun Du, Yifan Yao, Kaijing Ma, Bingli Wang, Tianyu Zheng, King Zhu, Minghao Liu, Yiming Liang, Xiaolong Jin, Zhenlin Wei, Chujie Zheng, Kaixin Deng, Shawn Gavin, Shian Jia, Sichao Jiang, Yiyan Liao, Rui Li, Qinrui Li, Sirun Li, Yizhi Li, Yunwen Li, David Ma, Yuansheng Ni, Haoran Que, Qiyao Wang, Zhoufutu Wen, Siwei Wu, Tyshawn Hsing, Ming Xu, Zhenzhu Yang, Zekun Moore Wang, Junting Zhou, Yuelin Bai, Xingyuan Bu, Chenglin Cai, Liang Chen, Yifan Chen, Chengtuo Cheng, Tianhao Cheng, Keyi Ding, Siming Huang, Yun Huang, Yaoru Li, Yizhe Li, Zhaoqun Li, Tianhao Liang, Chengdong Lin, Hongquan Lin, Yinghao Ma, Tianyang Pang, Zhongyuan Peng, Zifan Peng, Qige Qi, Shi Qiu, Xingwei Qu, Shanghaoran Quan, Yizhou Tan, Zili Wang, Chenqing Wang, Hao Wang, Yiya Wang, YuBo Wang, Jiajun Xu, Kexin Yang, Ruibin Yuan, Yuanhao Yue, Tianyang Zhan, Chun Zhang, Jinyang Zhang, Xiyue Zhang, Xingjian Zhang, Yue Zhang, Yongchi Zhao, Xiangyu Zheng, Chenghua Zhong, Yang Gao, Zhoujun Li, Dayiheng Liu, Qian Liu, Tianyu Liu, Shiwen Ni, Junran Peng, Yujia Qin, Wenbo Su, Guoyin Wang, Shi Wang, Jian Yang, Min Yang, Meng Cao, Xiang Yue, Zhaoxiang Zhang, Wangchunshu Zhou, Jiaheng Liu, Qunshu Lin, Wenhao Huang, Ge Zhang

To address this gap, we present SuperGPQA, a comprehensive benchmark that evaluates graduate-level knowledge and reasoning capabilities across 285 disciplines.

Collaborative Filtering

Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems

1 code implementation8 Jan 2025 Baojun Che, Yifan Chen, Zhenghao Huan, Daniel Zhengyu Huang, Weijie Wang

This paper is concerned with the approximation of probability distributions known up to normalization constants, with a focus on Bayesian inference for large-scale inverse problems in scientific computing.

Bayesian Inference Variational Inference

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

2 code implementations5 Jan 2025 Jiaping Wang, Simiao Zhang, Qiao-Chu He, Yifan Chen

The machine learning and data science community has made significant while dispersive progress in accelerating transformer-based large language models (LLMs), and one promising approach is to replace the original causal attention in a generative pre-trained transformer (GPT) with \emph{exponentially decaying causal linear attention}.

Remodeling Peptide-MHC-TCR Triad Binding as Sequence Fusion for Immunogenicity Prediction

no code implementations3 Jan 2025 Jiahao Ma, Hongzong Li, Jian-Dong Huang, Ye-Fan Hu, Yifan Chen

The complex nature of tripartite peptide-MHC-TCR interactions is a critical yet underexplored area in immunogenicity prediction.

Prediction Representation Learning

Catch Causal Signals from Edges for Label Imbalance in Graph Classification

1 code implementation3 Jan 2025 Fengrui Zhang, Yujia Yin, Hongzong Li, Yifan Chen, Tianyi Qu

Despite significant advancements in causal research on graphs and its application to cracking label imbalance, the role of edge features in detecting the causal effects within graphs has been largely overlooked, leaving existing methods with untapped potential for further performance gains.

Graph Classification

Optimized Gradient Clipping for Noisy Label Learning

1 code implementation12 Dec 2024 Xichen Ye, Yifan Wu, Weizhong Zhang, Xiaoqiang Li, Yifan Chen, Cheng Jin

Previous research has shown that constraining the gradient of loss function with respect to model-predicted probabilities can enhance the model robustness against noisy labels.

Revisiting Energy-Based Model for Out-of-Distribution Detection

1 code implementation4 Dec 2024 Yifan Wu, Xichen Ye, Songmin Dai, Dengye Pan, Xiaoqiang Li, Weizhong Zhang, Yifan Chen

We recognize the "energy barrier" in OOD detection, which characterizes the energy difference between in-distribution (ID) and OOD samples and eases detection.

Out-of-Distribution Detection Out of Distribution (OOD) Detection

Active Negative Loss: A Robust Framework for Learning with Noisy Labels

1 code implementation3 Dec 2024 Xichen Ye, Yifan Wu, Yiwen Xu, Xiaoqiang Li, Weizhong Zhang, Yifan Chen

By replacing MAE in APL with our proposed NNLFs, we enhance APL and present a new framework called Active Negative Loss (ANL).

Image Segmentation Learning with noisy labels +1

When Spatial meets Temporal in Action Recognition

no code implementations22 Nov 2024 Huilin Chen, Lei Wang, Yifan Chen, Tom Gedeon, Piotr Koniusz

Capturing the rich temporal evolution of video frames, while preserving their spatial details, is crucial for improving accuracy.

Action Recognition Temporal Action Localization

A Survey of Foundation Models for Music Understanding

no code implementations15 Sep 2024 Wenjun Li, Ying Cai, Ziyang Wu, Wenyi Zhang, Yifan Chen, Rundong Qi, Mengqi Dong, Peigen Chen, Xiao Dong, Fenghao Shi, Lei Guo, Junwei Han, Bao Ge, Tianming Liu, Lin Gan, Tuo Zhang

Music is essential in daily life, fulfilling emotional and entertainment needs, and connecting us personally, socially, and culturally.

Survey

LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch

1 code implementation4 Sep 2024 Xiaoyuan Zhang, Liang Zhao, Yingying Yu, Xi Lin, Yifan Chen, Han Zhao, Qingfu Zhang

Multiobjective optimization problems (MOPs) are prevalent in machine learning, with applications in multi-task learning, learning under fairness or robustness constraints, etc.

Evolutionary Algorithms Fairness +2

Convergence of Unadjusted Langevin in High Dimensions: Delocalization of Bias

no code implementations20 Aug 2024 Yifan Chen, Xiaoou Cheng, Jonathan Niles-Weed, Jonathan Weare

The unadjusted Langevin algorithm is commonly used to sample probability distributions in extremely high-dimensional settings.

ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive Language-Image Pre-traning Model

no code implementations8 Aug 2024 Yifan Chen, Xiaozhen Qiao, Zhe Sun, Xuelong Li

In this paper, we propose a novel approach, ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive Language-Image Pre-traning Model, which aims to comprehensively distill the knowledge from a large teacher CLIP model into a smaller student model, ensuring comparable performance with significantly reduced parameters.

Contrastive Learning Knowledge Distillation

SentenceVAE: Enable Next-sentence Prediction for Large Language Models with Faster Speed, Higher Accuracy and Longer Context

1 code implementation1 Aug 2024 Hongjun An, Yifan Chen, Zhe Sun, Xuelong Li

Current large language models (LLMs) primarily utilize next-token prediction method for inference, which significantly impedes their processing speed.

Decoder Sentence

LayoutDiT: Exploring Content-Graphic Balance in Layout Generation with Diffusion Transformer

no code implementations21 Jul 2024 Yu Li, Yifan Chen, Gongye Liu, Fei Yin, Qingyan Bai, Jie Wu, Hongfa Wang, Ruihang Chu, Yujiu Yang

To address these challenges, we introduce LayoutDiT, an effective framework that balances content and graphic features to generate high-quality, visually appealing layouts.

Blocking Layout Generation

Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flows

1 code implementation25 Jun 2024 Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Sebastian Reich, Andrew M. Stuart

The proposed methodology results in an efficient derivative-free sampler flexible enough to handle multi-modal distributions: Gaussian Mixture Kalman Inversion (GMKI).

Bayesian Inference

Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models

1 code implementation31 May 2024 Mingda Li, Xinyu Li, Yifan Chen, Wenfeng Xuan, Weinan Zhang

Although Retrieval-Augmented Large Language Models (RALMs) demonstrate their superiority in terms of factuality, they do not consistently outperform the original retrieval-free Language Models (LMs).

Open-Domain Question Answering Retrieval

Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors

1 code implementation29 May 2024 Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine L. Bouman

Diffusion models (DMs) have recently shown outstanding capabilities in modeling complex image distributions, making them expressive image priors for solving Bayesian inverse problems.

Image Deblurring Image Super-Resolution

Gaussian Measures Conditioned on Nonlinear Observations: Consistency, MAP Estimators, and Simulation

no code implementations21 May 2024 Yifan Chen, Bamdad Hosseini, Houman Owhadi, Andrew M Stuart

The article presents a systematic study of the problem of conditioning a Gaussian random variable $\xi$ on nonlinear observations of the form $F \circ \phi(\xi)$ where $\phi: \mathcal{X} \to \mathbb{R}^N$ is a bounded linear operator and $F$ is nonlinear.

Bayesian Inference Uncertainty Quantification

LetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian Primitives

no code implementations15 Apr 2024 Jiadi Cui, Junming Cao, Fuqiang Zhao, Zhipeng He, Yifan Chen, Yuhui Zhong, Lan Xu, Yujiao Shi, Yingliang Zhang, Jingyi Yu

Large garages are ubiquitous yet intricate scenes that present unique challenges due to their monotonous colors, repetitive patterns, reflective surfaces, and transparent vehicle glass.

3D Reconstruction Camera Pose Estimation +1

Sequential-in-time training of nonlinear parametrizations for solving time-dependent partial differential equations

no code implementations1 Apr 2024 huan zhang, Yifan Chen, Eric Vanden-Eijnden, Benjamin Peherstorfer

Sequential-in-time methods solve a sequence of training problems to fit nonlinear parametrizations such as neural networks to approximate solution trajectories of partial differential equations over time.

UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition

no code implementations14 Feb 2024 Xiaoyuan Zhang, Xi Lin, Yichi Zhang, Yifan Chen, Qingfu Zhang

Multiobjective optimization (MOO) is prevalent in numerous applications, in which a Pareto front (PF) is constructed to display optima under various preferences.

Diversity Multiobjective Optimization

LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-frame 3D Human Pose Estimation

no code implementations11 Dec 2023 Zhiyu Pan, Zhicheng Zhong, Wenxuan Guo, Yifan Chen, Jianjiang Feng, Jie zhou

Several methods have been proposed to estimate 3D human pose from multi-view images, achieving satisfactory performance on public datasets collected under relatively simple conditions.

3D Human Pose Estimation Unsupervised Domain Adaptation

HumanReg: Self-supervised Non-rigid Registration of Human Point Cloud

1 code implementation9 Dec 2023 Yifan Chen, Zhiyu Pan, Zhicheng Zhong, Wenxuan Guo, Jianjiang Feng, Jie zhou

In this paper, we present a novel registration framework, HumanReg, that learns a non-rigid transformation between two human point clouds end-to-end.

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

1 code implementation23 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 Modeling Language Modelling +2

Provable Probabilistic Imaging using Score-Based Generative Priors

1 code implementation16 Oct 2023 Yu Sun, Zihui Wu, Yifan Chen, Berthy T. Feng, Katherine L. Bouman

PMC is able to incorporate expressive score-based generative priors for high-quality image reconstruction while also performing uncertainty quantification via posterior sampling.

Denoising Image Reconstruction +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

MLP Fusion: Towards Efficient Fine-tuning of Dense and Mixture-of-Experts Language Models

1 code implementation18 Jul 2023 Mengting Ai, Tianxin Wei, Yifan Chen, Zeming Guo, 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

The primary goal of this paper is to provide a near-linear complexity algorithm for working with such kernel matrices.

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 +1

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 Modeling Language Modelling +2

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

The randomly pivoted partial Cholesky algorithm (RPCholesky) computes a factorized 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) +5

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

2 code implementations 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.

Fairness

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.

regression

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.

Computational Efficiency regression

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.

Sentence

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 parameter estimation

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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