Search Results for author: Ming Chen

Found 44 papers, 8 papers with code

Unbiasing Enhanced Sampling on a High-dimensional Free Energy Surface with Deep Generative Model

no code implementations14 Dec 2023 YiKai Liu, Tushar K. Ghosh, Guang Lin, Ming Chen

Biased enhanced sampling methods utilizing collective variables (CVs) are powerful tools for sampling conformational ensembles.

Density Estimation

Cross Domain LifeLong Sequential Modeling for Online Click-Through Rate Prediction

no code implementations11 Dec 2023 Ruijie Hou, Zhaoyang Yang, Yu Ming, Hongyu Lu, Zhuobin Zheng, Yu Chen, Qinsong Zeng, Ming Chen

Deep neural networks (DNNs) that incorporated lifelong sequential modeling (LSM) have brought great success to recommendation systems in various social media platforms.

Click-Through Rate Prediction Recommendation Systems

Temporal-Aware Refinement for Video-based Human Pose and Shape Recovery

no code implementations16 Nov 2023 Ming Chen, Yan Zhou, Weihua Jian, Pengfei Wan, Zhongyuan Wang

Though significant progress in human pose and shape recovery from monocular RGB images has been made in recent years, obtaining 3D human motion with high accuracy and temporal consistency from videos remains challenging.


Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation

1 code implementation15 Nov 2023 Bowen Zheng, Yupeng Hou, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ming Chen, Ji-Rong Wen

To address this challenge, in this paper, we propose a new LLM-based recommendation model called LC-Rec, which can better integrate language and collaborative semantics for recommender systems.

Quantization Recommendation Systems

Backdiff: a diffusion model for generalized transferable protein backmapping

no code implementations3 Oct 2023 YiKai Liu, Ming Chen, Guang Lin

Despite recent progress in data-driven backmapping approaches, devising a backmapping method that can be universally applied across various CG models and proteins remains unresolved.

Drug Discovery Protein Design

Advancing Ad Auction Realism: Practical Insights & Modeling Implications

no code implementations21 Jul 2023 Ming Chen, Sareh Nabi, Marciano Siniscalchi

Contemporary real-world online ad auctions differ from canonical models [Edelman et al., 2007; Varian, 2009] in at least four ways: (1) values and click-through rates can depend upon users' search queries, but advertisers can only partially "tune" their bids to specific queries; (2) advertisers do not know the number, identity, and precise value distribution of competing bidders; (3) advertisers only receive partial, aggregated feedback, and (4) payment rules are only partially known to bidders.


Joint Batching and Scheduling for High-Throughput Multiuser Edge AI with Asynchronous Task Arrivals

no code implementations15 Jul 2023 Yihan Cang, Ming Chen, Kaibin Huang

In this paper, we study joint batching and (task) scheduling to maximise the throughput (i. e., the number of completed tasks) under the practical assumptions of heterogeneous task arrivals and deadlines.

Benchmarking Scheduling

Streaming CTR Prediction: Rethinking Recommendation Task for Real-World Streaming Data

no code implementations14 Jul 2023 Qi-Wei Wang, Hongyu Lu, Yu Chen, Da-Wei Zhou, De-Chuan Zhan, Ming Chen, Han-Jia Ye

The Click-Through Rate (CTR) prediction task is critical in industrial recommender systems, where models are usually deployed on dynamic streaming data in practical applications.

Click-Through Rate Prediction Recommendation Systems

The RoyalFlush System for the WMT 2022 Efficiency Task

no code implementations3 Dec 2022 Bo Qin, Aixin Jia, Qiang Wang, Jianning Lu, Shuqin Pan, Haibo Wang, Ming Chen

This paper describes the submission of the RoyalFlush neural machine translation system for the WMT 2022 translation efficiency task.

Knowledge Distillation Machine Translation +1

Channel Tracking for RIS-aided mmWave Communications Under High Mobility Scenarios

no code implementations7 Nov 2022 Yu Liu, Ming Chen, Cunhua Pan, Yijin Pan, Yinlu Wang, Yaoming Huang, Tianyang Cao, Jiangzhou Wang

The emerging reconfigurable intelligent surface (RIS) technology is promising for applications in the millimeter wave (mmWave) communication systems to effectively compensate for propagation loss or tackle the blockage issue.

Vocal Bursts Intensity Prediction

Hybrid-Regressive Neural Machine Translation

no code implementations19 Oct 2022 Qiang Wang, Xinhui Hu, Ming Chen

HRT achieves the state-of-the-art BLEU score of 28. 49 on the WMT En-De task and is at least 1. 5x faster than AT, regardless of batch size and device.

Machine Translation Translation

Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation

no code implementations COLING 2022 Qiang Wang, Rongxiang Weng, Ming Chen

Generally, kNN-MT borrows the off-the-shelf context representation in the translation task, e. g., the output of the last decoder layer, as the query vector of the retrieval task.

Contrastive Learning Machine Translation +2

Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction

no code implementations17 Aug 2022 Tesi Xiao, Xia Xiao, Ming Chen, Youlong Chen

However, most existing NAS-based works suffer from expensive computational costs, the curse of dimensionality of the search space, and the discrepancy between continuous search space and discrete candidate space.

Click-Through Rate Prediction Neural Architecture Search

Reweighted Manifold Learning of Collective Variables from Enhanced Sampling Simulations

no code implementations29 Jul 2022 Jakub Rydzewski, Ming Chen, Tushar K. Ghosh, Omar Valsson

Despite routinely circumventing this issue using manifold learning to estimate CVs directly from standard simulations, such methods cannot provide mappings to a low-dimensional manifold from enhanced sampling simulations as the geometry and density of the learned manifold are biased.

A Novel 3D Non-Stationary Channel Model for 6G Indoor Visible Light Communication Systems

no code implementations6 Apr 2022 Xiuming Zhu, Cheng-Xiang Wang, Jie Huang, Ming Chen, Harald Haas

The visible light communication (VLC) technology has attracted much attention in the research of the sixth generation (6G) communication systems.

Colonoscopy polyp detection with massive endoscopic images

no code implementations17 Feb 2022 Jialin Yu, Huogen Wang, Ming Chen

We improved an existing end-to-end polyp detection model with better average precision validated by different data sets with trivial cost on detection speed.

object-detection Small Object Detection

Online Time Series Anomaly Detection with State Space Gaussian Processes

no code implementations18 Jan 2022 Christian Bock, François-Xavier Aubet, Jan Gasthaus, Andrey Kan, Ming Chen, Laurent Callot

We propose r-ssGPFA, an unsupervised online anomaly detection model for uni- and multivariate time series building on the efficient state space formulation of Gaussian processes.

Anomaly Detection Gaussian Processes +2

Enhanced Exploration in Neural Feature Selection for Deep Click-Through Rate Prediction Models via Ensemble of Gating Layers

no code implementations7 Dec 2021 Lin Guan, Xia Xiao, Ming Chen, Youlong Cheng

Inspired by gradient-based neural architecture search (NAS) and network pruning methods, people have tackled the NFS problem with Gating approach that inserts a set of differentiable binary gates to drop less informative features.

Click-Through Rate Prediction Ensemble Learning +3

Optimization of RIS Configurations for Multiple-RIS-Aided mmWave Positioning Systems based on CRLB Analysis

no code implementations28 Nov 2021 Yu Liu, Sheng Hong, Cunhua Pan, Yinlu Wang, Yijin Pan, Ming Chen

Reconfigurable intelligent surface (RIS) is a promising technology for future millimeter-wave (mmWave) communication systems.

Infant Cry Classification with Graph Convolutional Networks

no code implementations31 Jan 2021 Chunyan Ji, Ming Chen, Bin Li, Yi Pan

We propose an approach of graph convolutional networks for robust infant cry classification.

Classification General Classification +1

Optimal Resource Allocation for Multi-UAV Assisted Visible Light Communication

no code implementations24 Dec 2020 Yihan Cang, Ming Chen, Zhaohui Yang, Mingzhe Chen, Chongwen Huang

To meet the traffic and illumination demands of the ground users while minimizing the energy consumption of the UAVs, one must optimize UAV deployment, phase shift of RISs, user association and RIS association.

Information Theory Information Theory

Reconfigurable Intelligent Surfaces for 6G Systems: Principles, Applications, and Research Directions

no code implementations9 Nov 2020 Cunhua Pan, Hong Ren, Kezhi Wang, Jonas Florentin Kolb, Maged Elkashlan, Ming Chen, Marco Di Renzo, Yang Hao, Jiangzhou Wang, A. Lee Swindlehurst, Xiaohu You, Lajos Hanzo

Reconfigurable intelligent surfaces (RISs) or intelligent reflecting surfaces (IRSs), are regarded as one of the most promising and revolutionizing techniques for enhancing the spectrum and/or energy efficiency of wireless systems.

Scalable Graph Neural Networks via Bidirectional Propagation

1 code implementation NeurIPS 2020 Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen

Most notably, GBP can deliver superior performance on a graph with over 60 million nodes and 1. 8 billion edges in less than half an hour on a single machine.

Graph Sampling

SBAT: Video Captioning with Sparse Boundary-Aware Transformer

no code implementations23 Jul 2020 Tao Jin, Siyu Huang, Ming Chen, Yingming Li, Zhongfei Zhang

However, video captioning is a multimodal learning problem, and the video features have much redundancy between different time steps.

Machine Translation Text Generation +2

Simple and Deep Graph Convolutional Networks

4 code implementations ICML 2020 Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li

We propose the GCNII, an extension of the vanilla GCN model with two simple yet effective techniques: {\em Initial residual} and {\em Identity mapping}.

Graph Classification Graph Regression +3

Cooperative Rate-Splitting for Secrecy Sum-Rate Enhancement in Multi-antenna Broadcast Channels

no code implementations3 Jun 2020 Ping Li, Ming Chen, Yijie Mao, Zhaohui Yang, Bruno Clerckx, Mohammad Shikh-Bahaei

In this paper, we employ Cooperative Rate-Splitting (CRS) technique to enhance the Secrecy Sum Rate (SSR) for the Multiple Input Single Output (MISO) Broadcast Channel (BC), consisting of two legitimate users and one eavesdropper, with perfect Channel State Information (CSI) available at all nodes.

Reflections in the Sky: Joint Trajectory and Passive Beamforming Design for Secure UAV Networks with Reconfigurable Intelligent Surface

no code implementations21 May 2020 Hui Long, Ming Chen, Zhaohui Yang, Bao Wang, Zhiyang Li, Xu Yun, Mohammad Shikh-Bahaei

This paper investigates the problem of secure energy efficiency maximization for a reconfigurable intelligent surface (RIS) assisted uplink wireless communication system, where an unmanned aerial vehicle (UAV) equipped with an RIS works as a mobile relay between the base station (BS) and a group of users.

AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations

no code implementations26 Feb 2020 Xiangyu Zhao, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Jiliang Tang

Deep learning based recommender systems (DLRSs) often have embedding layers, which are utilized to lessen the dimensionality of categorical variables (e. g. user/item identifiers) and meaningfully transform them in the low-dimensional space.

AutoML Recommendation Systems

Fine-tune BERT with Sparse Self-Attention Mechanism

no code implementations IJCNLP 2019 Baiyun Cui, Yingming Li, Ming Chen, Zhongfei Zhang

In this paper, we develop a novel Sparse Self-Attention Fine-tuning model (referred as SSAF) which integrates sparsity into self-attention mechanism to enhance the fine-tuning performance of BERT.

Natural Language Inference Question Answering +1

FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images

no code implementations28 Jul 2019 Yunhe Gao, Rui Huang, Ming Chen, Zhe Wang, Jincheng Deng, YuanYuan Chen, Yiwei Yang, Jie Zhang, Chanjuan Tao, Hongsheng Li

In this paper, we propose an end-to-end deep neural network for solving the problem of imbalanced large and small organ segmentation in head and neck (HaN) CT images.

Organ Segmentation Segmentation

Deep Attentive Sentence Ordering Network

no code implementations EMNLP 2018 Baiyun Cui, Yingming Li, Ming Chen, Zhongfei Zhang

In this paper, we propose a novel deep attentive sentence ordering network (referred as ATTOrderNet) which integrates self-attention mechanism with LSTMs in the encoding of input sentences.

Concept-To-Text Generation Document Summarization +5

Unfolding Hidden Barriers by Active Enhanced Sampling

no code implementations21 May 2017 Jing Zhang, Ming Chen

We introduce an active learning scheme that consists of a parametric CV learner based on deep neural network and a CV-based enhanced sampler.

Active Learning

On Consideration of Content Preference and Sharing Willingness in D2D Assisted Offloading

1 code implementation1 Feb 2017 Yijin Pan, Cunhua Pan, Huiling Zhu, Qasim Zeeshan Ahmed, Ming Chen, Jiangzhou Wang

Furthermore, an alternative group optimization (AGO) algorithm is proposed to solve the general case of the optimization problem.

Networking and Internet Architecture

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