Di Niu

According to our database, Di Niu authored at least 136 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Cross-domain correlation representation for new fault categories discovery in rolling bearings.

Chenglong Wang, Jie Nie, Weizhi Nie, Peizhe Yin, Di Niu, Xinyue Liang, Shusong Yu

Inf. Process. Manag., March, 2024

CascadedGaze: Efficiency in Global Context Extraction for Image Restoration.

Amirhosein Ghasemabadi, Muhammad Kamran Janjua, Mohammad Salameh, Chunhua Zhou, Fengyu Sun, Di Niu

Trans. Mach. Learn. Res., 2024

Learning Truncated Causal History Model for Video Restoration.

Amirhosein Ghasemabadi, Muhammad Kamran Janjua, Mohammad Salameh, Di Niu

CoRR, 2024

TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution.

Jiuding Yang, Shengyao Lu, Weidong Guo, Xiangyang Li, Kaitong Yang, Yu Xu, Di Niu

CoRR, 2024

FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting.

Liyao Jiang, Negar Hassanpour, Mohammad Salameh, Mohan Sai Singamsetti, Fengyu Sun, Wei Lu, Di Niu

CoRR, 2024

Achieving Complex Image Edits via Function Aggregation with Diffusion Models.

Mohammadreza Samadi, Fred X. Han, Mohammad Salameh, Hao Wu, Fengyu Sun, Chunhua Zhou, Di Niu

CoRR, 2024

Optimizing and Testing Instruction-Following: Analyzing the Impact of Fine-Grained Instruction Variants on instruction-tuned LLMs.

Jiuding Yang, Weidong Guo, Kaitong Yang, Xiangyang Li, Zhuwei Rao, Yu Xu, Di Niu

CoRR, 2024

CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network.

Chenglin Li, Yuanzhen Xie, Chenyun Yu, Lei Cheng, Bo Hu, Zang Li, Di Niu

CoRR, 2024

SIFiD: Reassess Summary Factual Inconsistency Detection with LLM.

Jiuding Yang, Hui Liu, Weidong Guo, Zhuwei Rao, Yu Xu, Di Niu

CoRR, 2024

DimReg: Embedding Dimension Search via Regularization for Recommender Systems.

Mingjun Zhao, Liyao Jiang, Yakun Yu, Xinmin Wang, Yi Yuan, Zheng Wei, Di Niu

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

HyperFLoRA: Federated Learning with Instantaneous Personalization.

Qikai Lu, Di Niu, Mohammadamin Samadi Khoshkho, Baochun Li

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Tuner: A New Approach For 3D Semantic Segmentation Using Federated Architecture.

Jerry Chen, Ruiqing Tian, Di Niu

Proceedings of the IEEE International Conference on Metaverse Computing, 2024

EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time.

Shengyao Lu, Bang Liu, Keith G. Mills, Jiao He, Di Niu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

GOAt: Explaining Graph Neural Networks via Graph Output Attribution.

Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models.

Sijia Chen, Baochun Li, Di Niu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PepRec: Progressive Enhancement of Prompting for Recommendation.

Yakun Yu, Shiang Qi, Baochun Li, Di Niu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Building Optimal Neural Architectures Using Interpretable Knowledge.

Keith G. Mills, Fred X. Han, Mohammad Salameh, Shengyao Lu, Chunhua Zhou, Jiao He, Fengyu Sun, Di Niu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Instruction Fusion: Advancing Prompt Evolution through Hybridization.

Weidong Guo, Jiuding Yang, Kaitong Yang, Xiangyang Li, Zhuwei Rao, Yu Xu, Di Niu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently.

Jian Ma, Mingjun Zhao, Chen Chen, Ruichen Wang, Di Niu, Haonan Lu, Xiaodong Lin

CoRR, 2023

Reparameterization through Spatial Gradient Scaling.

Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin Zhang, Wei Lui, Shangling Jui, Di Niu

CoRR, 2023

CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering.

Mingjun Zhao, Mengzhen Wang, Yinglong Ma, Di Niu, Haijiang Wu

Proceedings of the ACM Web Conference 2023, 2023

One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation.

Chenglin Li, Yuanzhen Xie, Chenyun Yu, Bo Hu, Zang Li, Guoqiang Shu, Xiaohu Qie, Di Niu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

BDA: Bandit-based Transferable AutoAugment.

Shan Lu, Mingjun Zhao, Songling Yuan, Xiaoli Wang, Lei Yang, Di Niu

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

A General-Purpose Transferable Predictor for Neural Architecture Search.

Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Optimal Smooth Approximation for Quantile Matrix Factorization.

Peng Liu, Yi Liu, Rui Zhu, Linglong Kong, Bei Jiang, Di Niu

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Online Volume Optimization for Notifications via Long Short-Term Value Modeling.

Yuchen Zhang, Mingjun Zhao, Chenglin Li, Weiyu Tou, Haolan Chen, Di Niu, Cunxiang Yin, Yancheng He, Fei Guo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

TCR: Short Video Title Generation and Cover Selection with Attention Refinement.

Yakun Yu, Jiuding Yang, Weidong Guo, Hui Liu, Yu Xu, Di Niu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

AutoGO: Automated Computation Graph Optimization for Neural Network Evolution.

Mohammad Salameh, Keith G. Mills, Negar Hassanpour, Fred X. Han, Shuting Zhang, Wei Lu, Shangling Jui, Chunhua Zhou, Fengyu Sun, Di Niu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

UNICO: Unified Hardware Software Co-Optimization for Robust Neural Network Acceleration.

Bahador Rashidi, Chao Gao, Shan Lu, Zhisheng Wang, Chunhua Zhou, Di Niu, Fengyu Sun

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness.

Liyao Jiang, Chenglin Li, Haolan Chen, Xiaodong Gao, Xinwang Zhong, Yang Qiu, Shani Ye, Di Niu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Reparameterization through Spatial Gradient Scaling.

Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin Zhang, Robin Luwei, Shangling Jui, Di Niu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unknown Fault Detection of Rolling Bearing Based on Similarity Mining of Stationary and Non-stationary Features.

Ruoxi Li, Jie Nie, Chenglong Wang, Di Niu, Shusong Yu, Weizhi Nie, Xiangqian Ding

Proceedings of the 4th International Workshop on Human-centric Multimedia Analysis, 2023

VPR-Gym: A Platform for Exploring AI Techniques in FPGA Placement Optimization.

Ruichen Chen, Shengyao Lu, Mohamed A. Elgammal, Peter Chun, Vaughn Betz, Di Niu

Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

Search-Map-Search: A Frame Selection Paradigm for Action Recognition.

Mingjun Zhao, Yakun Yu, Xiaoli Wang, Lei Yang, Di Niu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models.

Yakun Yu, Shiang Qi, Jiuding Yang, Liyao Jiang, Di Niu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Mulco: Recognizing Chinese Nested Named Entities through Multiple Scopes.

Jiuding Yang, Jinwen Luo, Weidong Guo, Jerry Chen, Di Niu, Yu Xu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis.

Yakun Yu, Mingjun Zhao, Shiang Qi, Feiran Sun, Baoxun Wang, Weidong Guo, Xiaoli Wang, Lei Yang, Di Niu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

ConFEDE: Contrastive Feature Decomposition for Multimodal Sentiment Analysis.

Jiuding Yang, Yakun Yu, Di Niu, Weidong Guo, Yu Xu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Exploiting Hierarchically Structured Categories in Fine-grained Chinese Named Entity Recognition.

Jiuding Yang, Jinwen Luo, Weidong Guo, Di Niu, Yu Xu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

AIO-P: Expanding Neural Performance Predictors beyond Image Classification.

Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

GENNAPE: Towards Generalized Neural Architecture Performance Estimators.

Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Factorizing Historical User Actions for Next-Day Purchase Prediction.

Bang Liu, Hanlin Zhang, Linglong Kong, Di Niu

ACM Trans. Web, 2022

Self-Attentive Models for Real-Time Malware Classification.

Qikai Lu, Hongwen Zhang, Husam Kinawi, Di Niu

IEEE Access, 2022

RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation.

Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

TAG: Toward Accurate Social Media Content Tagging with a Concept Graph.

Jiuding Yang, Weidong Guo, Bang Liu, Yakun Yu, Chaoyue Wang, Jinwen Luo, Linglong Kong, Di Niu, Zhen Wen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning.

Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu

Proceedings of the Tenth International Conference on Learning Representations, 2022

MatRank: Text Re-ranking by Latent Preference Matrix.

Jinwen Luo, Jiuding Yang, Weidong Guo, Chenglin Li, Di Niu, Yu Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

LA3: Efficient Label-Aware AutoAugment.

Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Similarity Embedding Networks for Robust Human Activity Recognition.

Chenglin Li, Carrie Lu Tong, Di Niu, Bei Jiang, Xiao Zuo, Lei Cheng, Jian Xiong, Jianming Yang

ACM Trans. Knowl. Discov. Data, 2021

Advanced algorithms for penalized quantile and composite quantile regression.

Matthew Pietrosanu, Jueyu Gao, Linglong Kong, Bei Jiang, Di Niu

Comput. Stat., 2021

QBSUM: A large-scale query-based document summarization dataset from real-world applications.

Mingjun Zhao, Shengli Yan, Bang Liu, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long, Weidong Guo

Comput. Speech Lang., 2021

L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning.

Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu

CoRR, 2021

Verdi: Quality Estimation and Error Detection for Bilingual.

Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang

CoRR, 2021

Exploring Neural Architecture Search Space via Deep Deterministic Sampling.

Keith G. Mills, Mohammad Salameh, Di Niu, Fred X. Han, Seyed Saeed Changiz Rezaei, Hengshuai Yao, Wei Lu, Shuo Lian, Shangling Jui

IEEE Access, 2021

Verdi: Quality Estimation and Error Detection for Bilingual Corpora.

Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Meta-HAR: Federated Representation Learning for Human Activity Recognition.

Chenglin Li, Di Niu, Bei Jiang, Xiao Zuo, Jianming Yang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Generative Adversarial Neural Architecture Search.

Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Dual Learning for Query Generation and Query Selection in Query Feeds Recommendation.

Kunxun Qi, Ruoxu Wang, Qikai Lu, Xuejiao Wang, Ning Jing, Di Niu, Haolan Chen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search.

Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning.

Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization.

Weidong Guo, Mingjun Zhao, Lusheng Zhang, Di Niu, Jinwen Luo, Zhenhua Liu, Zhenyang Li, Jianbo Tang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Turbo: Dynamic and Decentralized Global Analytics via Machine Learning.

Hao Wang, Di Niu, Baochun Li

IEEE Trans. Parallel Distributed Syst., 2020

Story Forest: Extracting Events and Telling Stories from Breaking News.

Bang Liu, Fred X. Han, Di Niu, Linglong Kong, Kunfeng Lai, Yu Xu

ACM Trans. Knowl. Discov. Data, 2020

Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus.

Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

GIANT: Scalable Creation of a Web-scale Ontology.

Bang Liu, Weidong Guo, Di Niu, Jinwen Luo, Chaoyue Wang, Zhen Wen, Yu Xu

Proceedings of the 2020 International Conference on Management of Data, 2020

Meta-Learning for Query Conceptualization at Web Scale.

Fred X. Han, Di Niu, Haolan Chen, Weidong Guo, Shengli Yan, Bowei Long

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Neural Architecture Search for Keyword Spotting.

Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Optimizing Federated Learning on Non-IID Data with Reinforcement Learning.

Hao Wang, Zakhary Kaplan, Di Niu, Baochun Li

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models.

Mingjun Zhao, Haijiang Wu, Di Niu, Xiaoli Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Wide-Area Spark Streaming: Automated Routing and Batch Sizing.

Wenxin Li, Di Niu, Yinan Liu, Shuhao Liu, Baochun Li

IEEE Trans. Parallel Distributed Syst., 2019

Learning Privately over Distributed Features: An ADMM Sharing Approach.

Yaochen Hu, Peng Liu, Linglong Kong, Di Niu

CoRR, 2019

Learning to Generate Questions by Learning What not to Generate.

Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu

CoRR, 2019

Android Malware Detection Based on Factorization Machine.

Chenglin Li, Keith G. Mills, Di Niu, Rui Zhu, Hongwen Zhang, Husam Kinawi

IEEE Access, 2019

Learning to Generate Questions by LearningWhat not to Generate.

Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu

Proceedings of the World Wide Web Conference, 2019

Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network.

Fred X. Han, Di Niu, Kunfeng Lai, Weidong Guo, Yancheng He, Yu Xu

Proceedings of the World Wide Web Conference, 2019

A User-Centered Concept Mining System for Query and Document Understanding at Tencent.

Bang Liu, Weidong Guo, Di Niu, Chaoyue Wang, Shunnan Xu, Jinghong Lin, Kunfeng Lai, Yu Xu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

FDML: A Collaborative Machine Learning Framework for Distributed Features.

Yaochen Hu, Di Niu, Jianming Yang, Shengping Zhou

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Deep Generative Approach to Search Extrapolation and Recommendation.

Fred X. Han, Di Niu, Haolan Chen, Kunfeng Lai, Yancheng He, Yu Xu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Distributed Machine Learning with a Serverless Architecture.

Hao Wang, Di Niu, Baochun Li

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Matching Article Pairs with Graphical Decomposition and Convolutions.

Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning Diffusions without Timestamps.

Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Stochastic Distributed Optimization for Machine Learning from Decentralized Features.

Yaochen Hu, Di Niu, Jianming Yang

CoRR, 2018

A Model Parallel Proximal Stochastic Gradient Algorithm for Partially Asynchronous Systems.

Rui Zhu, Di Niu

CoRR, 2018

A Block-wise, Asynchronous and Distributed ADMM Algorithm for General Form Consensus Optimization.

Rui Zhu, Di Niu, Zongpeng Li

CoRR, 2018

Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization.

Rui Zhu, Di Niu, Zongpeng Li

CoRR, 2018

Matching Long Text Documents via Graph Convolutional Networks.

Bang Liu, Ting Zhang, Di Niu, Jinghong Lin, Kunfeng Lai, Yu Xu

CoRR, 2018

Matching Natural Language Sentences with Hierarchical Sentence Factorization.

Bang Liu, Ting Zhang, Fred X. Han, Di Niu, Kunfeng Lai, Yu Xu

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

MIX: Multi-Channel Information Crossing for Text Matching.

Haolan Chen, Fred X. Han, Di Niu, Dong Liu, Kunfeng Lai, Chenglin Wu, Yu Xu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Dynamic and Decentralized Global Analytics via Machine Learning.

Hao Wang, Di Niu, Baochun Li

Proceedings of the ACM Symposium on Cloud Computing, 2018

Multiresolution Graph Attention Networks for Relevance Matching.

Ting Zhang, Bang Liu, Di Niu, Kunfeng Lai, Yu Xu

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A Fast Linear Computational Framework for User Action Prediction in Tencent MyApp.

Yaochen Hu, Di Niu, Jianming Yang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Cooper: Expedite Batch Data Dissemination in Computer Clusters with Coded Gossips.

Yan Liu, Di Niu, Majid Khabbazian

IEEE Trans. Parallel Distributed Syst., 2017

Network Latency Estimation for Personal Devices: A Matrix Completion Approach.

Rui Zhu, Bang Liu, Di Niu, Zongpeng Li, Hong Vicky Zhao

IEEE/ACM Trans. Netw., 2017

Cocoa: Dynamic Container-Based Group Buying Strategies for Cloud Computing.

Xiaomeng Yi, Fangming Liu, Di Niu, Hai Jin, John C. S. Lui

ACM Trans. Model. Perform. Evaluation Comput. Syst., 2017

Resource Auto-Scaling and Sparse Content Replication for Video Storage Systems.

Di Niu, Hong Xu, Baochun Li

ACM Trans. Model. Perform. Evaluation Comput. Syst., 2017

Optic Disc Detection via Deep Learning in Fundus Images.

Peiyuan Xu, Cheng Wan, Jun Cheng, Di Niu, Jiang Liu

Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

Optimal multicast in virtualized datacenter networks with software switches.

Rui Zhu, Di Niu, Baochun Li, Zongpeng Li

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Robust web service recommendation via quantile matrix factorization.

Rui Zhu, Di Niu, Zongpeng Li

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Recover Fine-Grained Spatial Data from Coarse Aggregation.

Bang Liu, Borislav Mavrin, Linglong Kong, Di Niu

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Latency reduction and load balancing in coded storage systems.

Yaochen Hu, Yushi Wang, Bang Liu, Di Niu, Cheng Huang

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

Growing Story Forest Online from Massive Breaking News.

Bang Liu, Di Niu, Kunfeng Lai, Linglong Kong, Yu Xu

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Expectile Matrix Factorization for Skewed Data Analysis.

Rui Zhu, Di Niu, Linglong Kong, Zongpeng Li

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Achieving Optimal Block Pipelining in Organized Network Coded Gossip.

Majid Khabbazian, Di Niu

IEEE Trans. Parallel Distributed Syst., 2016

An Asynchronous Fixed-Point Algorithm for Resource Sharing With Coupled Objectives.

Di Niu, Baochun Li

IEEE/ACM Trans. Netw., 2016

Delay-Optimized Video Traffic Routing in Software-Defined Interdatacenter Networks.

Yinan Liu, Di Niu, Baochun Li

IEEE Trans. Multim., 2016

A Geometric Approach to Server Selection for Interactive Video Streaming.

Yaochen Hu, Di Niu, Zongpeng Li

IEEE Trans. Multim., 2016

Mitigating Routing Inefficiencies to Cloud-Storage Providers: A Case Study.

Soham Sinha, Di Niu, Zhi Wang, Paul Lu

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Reducing access latency in erasure coded cloud storage with local block migration.

Yaochen Hu, Di Niu

Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis.

Bang Liu, Borislav Mavrin, Di Niu, Linglong Kong

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Separating-Plane Factorization Models: Scalable Recommendation from One-Class Implicit Feedback.

Haolan Chen, Di Niu, Kunfeng Lai, Yu Xu, Masoud Ardakani

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Dynamic Cloud Instance Acquisition via IaaS Cloud Brokerage.

Wei Wang, Di Niu, Ben Liang, Baochun Li

IEEE Trans. Parallel Distributed Syst., 2015

Heat Transfer and Friction Characteristics of the Microfluidic Heat Sink with Variously-Shaped Ribs for Chip Cooling.

Gui-Lian Wang, Da-Wei Yang, Yan Wang, Di Niu, Xiao-Lin Zhao, Guifu Ding

Sensors, 2015

Network latency prediction for personal devices: Distance-feature decomposition from 3D sampling.

Bang Liu, Di Niu, Zongpeng Li, H. Vicky Zhao

Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

2014

Server Selection and Topology Control for Multi-Party Video Conferences.

Shuopeng Zhang, Di Niu, Yaochen Hu, Fangming Liu

Proceedings of the 24th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2014

Min-cost live webcast under joint pricing of data, congestion and virtualized servers.

Rui Zhu, Di Niu, Baochun Li

Proceedings of the 7th International Conference on NETwork Games, COntrol and OPtimization, 2014

Congestion-aware internet pricing for media streaming.

Di Niu, Baochun Li

Proceedings of the 2014 Proceedings IEEE INFOCOM Workshops, Toronto, ON, Canada, April 27, 2014

Achieving Absolutely Optimal Block Pipelining in Organized Network Coded Gossip.

Majid Khabbazian, Di Niu

Proceedings of the IEEE 34th International Conference on Distributed Computing Systems, 2014

2013

Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications.

Fangming Liu, Peng Shu, Hai Jin, Linjie Ding, Jie Yu, Di Niu, Bo Li

IEEE Wirel. Commun., 2013

An efficient distributed algorithm for resource allocation in large-scale coupled systems.

Di Niu, Baochun Li

Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

Dynamic Cloud Resource Reservation via Cloud Brokerage.

Wei Wang, Di Niu, Baochun Li, Ben Liang

Proceedings of the IEEE 33rd International Conference on Distributed Computing Systems, 2013

2012

Pricing cloud bandwidth reservations under demand uncertainty.

Di Niu, Chen Feng, Baochun Li

Proceedings of the ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2012

Quality-assured cloud bandwidth auto-scaling for video-on-demand applications.

Di Niu, Hong Xu, Baochun Li, Shuqiao Zhao

Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

A theory of cloud bandwidth pricing for video-on-demand providers.

Di Niu, Chen Feng, Baochun Li

Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

2011

Analyzing the Resilience-Complexity Tradeoff of Network Coding in Dynamic P2P Networks.

Di Niu, Baochun Li

IEEE Trans. Parallel Distributed Syst., 2011

Random Network Coding in Peer-to-Peer Networks: From Theory to Practice.

Baochun Li, Di Niu

Proc. IEEE, 2011

Understanding demand volatility in large VoD systems.

Di Niu, Baochun Li, Shuqiao Zhao

Proceedings of the Network and Operating System Support for Digital Audio and Video, 2011

Risk management for video-on-demand servers leveraging demand forecast.

Di Niu, Hong Xu, Baochun Li, Shuqiao Zhao

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Demand forecast and performance prediction in peer-assisted on-demand streaming systems.

Di Niu, Zimu Liu, Baochun Li, Shuqiao Zhao

Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Asymptotic optimality of randomized peer-to-peer broadcast with network coding.

Di Niu, Baochun Li

Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

2010

Self-diagnostic peer-assisted video streaming through a learning framework.

Di Niu, Baochun Li, Shuqiao Zhao

Proceedings of the 18th International Conference on Multimedia 2010, 2010

Topological Properties Affect the Power of Network Coding in Decentralized Broadcast.

Di Niu, Baochun Li

Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

2009

How P2P streaming systems scale over time under a flash crowd?

Fangming Liu, Bo Li, Lili Zhong, Baochun Li, Di Niu

Proceedings of the 8th international conference on Peer-to-peer systems, 2009

Asymptotic rate limits for randomized broadcasting with network coding.

Di Niu, Baochun Li

Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008

Circumventing Server Bottlenecks: Indirect Large-Scale P2P Data Collection.

Di Niu, Baochun Li

Proceedings of the 28th IEEE International Conference on Distributed Computing Systems (ICDCS 2008), 2008

2007

On the Resilience-Complexity Tradeoff of Network Coding in Dynamic P2P Networks.

Di Niu, Baochun Li

Proceedings of the Fifteenth IEEE International Workshop on Quality of Service, 2007

2006

Iterative Carrier Frequency Offset Estimation for OFDMA Uplink based on Null Subcarriers.

Di Niu, Xianhua Dai

Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006