Zhi Yang

Orcid: 0000-0002-8219-4499

Affiliations:
  • Peking University, Beijing, China (PhD 2010)


According to our database1, Zhi Yang authored at least 87 papers between 2006 and 2023.

Collaborative distances:

Timeline

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Bibliography

2023
SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training.
Proc. VLDB Endow., 2023

GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning.
Proc. ACM Manag. Data, 2023

Scapin: Scalable Graph Structure Perturbation by Augmented Influence Maximization.
Proc. ACM Manag. Data, 2023

Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning.
Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

Welder: Scheduling Deep Learning Memory Access via Tile-graph.
Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters.
Proceedings of the Eighteenth European Conference on Computer Systems, 2023

Graph-Enforced Neural Network for Attributed Graph Clustering.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022
CuWide: Towards Efficient Flow-Based Training for Sparse Wide Models on GPUs.
IEEE Trans. Knowl. Data Eng., 2022

DFG-NAS: Deep and Flexible Graph Neural Architecture Search.
CoRR, 2022

Instance-wise Prompt Tuning for Pretrained Language Models.
CoRR, 2022

PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Graph Attention Multi-Layer Perceptron.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Model Degradation Hinders Deep Graph Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning.
Proceedings of the International Conference on Machine Learning, 2022

Deep and Flexible Graph Neural Architecture Search.
Proceedings of the International Conference on Machine Learning, 2022

Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels.
Proceedings of the Tenth International Conference on Learning Representations, 2022

AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

TSPLIT: Fine-grained GPU Memory Management for Efficient DNN Training via Tensor Splitting.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization.
Proc. VLDB Endow., 2021

HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework.
Proc. VLDB Endow., 2021

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition.
Proc. VLDB Endow., 2021

Dense-to-Sparse Gate for Mixture-of-Experts.
CoRR, 2021

Graph Attention Multi-Layer Perceptron.
CoRR, 2021

Evaluating Deep Graph Neural Networks.
CoRR, 2021

GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing.
CoRR, 2021

ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Heterogeneity-Aware Distributed Machine Learning Training via Partial Reduce.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Node Dependent Local Smoothing for Scalable Graph Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

RIM: Reliable Influence-based Active Learning on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ROD: Reception-aware Online Distillation for Sparse Graphs.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

OpenBox: A Generalized Black-box Optimization Service.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

CuWide: Towards Efficient Flow-based Training for Sparse Wide Models on GPUs (Extended Abstract).
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

SMAD: Scalable Multi-view Ad Retrieval System for E-Commerce Sponsored Search.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees.
Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks.
Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

PCGCN: Partition-Centric Processing for Accelerating Graph Convolutional Network.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

A Topology-Aware Performance Prediction Model for Distributed Deep Learning on GPU Clusters.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

TrustGCN: Enabling Graph Convolutional Network for Robust Sybil Detection in OSNs.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019
MSD: Multi-Self-Distillation Learning via Multi-classifiers within Deep Neural Networks.
CoRR, 2019

NeuGraph: Parallel Deep Neural Network Computation on Large Graphs.
Proceedings of the 2019 USENIX Annual Technical Conference, 2019

SCHED²: Scheduling Deep Learning Training via Deep Reinforcement Learning.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Autor3: <i>Au</i>tomated <i>R</i>eal-time <i>R</i>anking with <i>R</i>einforcement Learning in E-commerce Sponsored Search Advertising.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
A Game Theoretic Model for the Formation of Navigable Small-World Networks - The Tradeoff between Distance and Reciprocity.
ACM Trans. Internet Techn., 2018

Towards Efficient Large-Scale Graph Neural Network Computing.
CoRR, 2018

Proactive Video Push for Optimizing Bandwidth Consumption in Hybrid CDN-P2P VoD Systems.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Building efficient and available distributed transaction with Paxos-based coding consensus.
Proceedings of the IEEE INFOCOM 2018, 2018

DeepCredit: Exploiting User Cickstream for Loan Risk Prediction in P2P Lending.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

ATDPS: An Adaptive Time-Dependent Push Strategy in Hybrid CDN-P2P VoD System.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Defending against Social Network Sybils with Interaction Graph Embedding.
Proceedings of the 2018 IEEE Conference on Communications and Network Security, 2018

SDPaxos: Building Efficient Semi-Decentralized Geo-replicated State Machines.
Proceedings of the ACM Symposium on Cloud Computing, 2018

2017
Processing Concurrent Graph Analytics with Decoupled Computation Model.
IEEE Trans. Computers, 2017

Modeling geo-homopholy in online social networks for population distribution projection.
Int. J. Crowd Sci., 2017

Garaph: Efficient GPU-accelerated Graph Processing on a Single Machine with Balanced Replication.
Proceedings of the 2017 USENIX Annual Technical Conference, 2017

DeltaCFS: Boosting Delta Sync for Cloud Storage Services by Learning from NFS.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Population Distribution Projection by Modeling Geo Homophily in Online Social Networks.
Proceedings of the 2nd International Conference on Crowd Science and Engineering, 2017

Understanding the Gift-Sending Interaction on Live-Streaming Video Websites.
Proceedings of the Social Computing and Social Media. Human Behavior, 2017

2016
VoteTrust: Leveraging Friend Invitation Graph to Defend against Social Network Sybils.
IEEE Trans. Dependable Secur. Comput., 2016

Efficient Distributed Machine Learning with Trigger Driven Parallel Training.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015
CHARM: A Cost-Efficient Multi-Cloud Data Hosting Scheme with High Availability.
IEEE Trans. Cloud Comput., 2015

Understanding the performance of offline download in real p2p networks.
Peer-to-Peer Netw. Appl., 2015

A Game Theoretic Model for the Formation of Navigable Small-World Networks.
Proceedings of the 24th International Conference on World Wide Web, 2015

Uncovering User Interaction Dynamics in Online Social Networks.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Understanding and Surpassing Dropbox: Efficient Incremental Synchronization in Cloud Storage Services.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

Process-driven Analysis of Dynamics in Online Social Interactions.
Proceedings of the 2015 ACM on Conference on Online Social Networks, 2015

When computing meets heterogeneous cluster: Workload assignment in graph computation.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Uncovering social network Sybils in the wild.
ACM Trans. Knowl. Discov. Data, 2014

Seraph: an efficient, low-cost system for concurrent graph processing.
Proceedings of the 23rd International Symposium on High-Performance Parallel and Distributed Computing, 2014

2013
Beehive: low-cost content subscription service using cloudlets.
Sci. China Inf. Sci., 2013

Unfolding dynamics in a social network: co-evolution oflink formation and user interaction.
Proceedings of the 22nd International World Wide Web Conference, 2013

PROB: A lightweight approach for fast content propagation in P2P networks.
Proceedings of the 13th IEEE International Conference on Peer-to-Peer Computing, 2013

VoteTrust: Leveraging friend invitation graph to defend against social network Sybils.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

2011
Protector: A Probabilistic Failure Detector for Cost-Effective Peer-to-Peer Storage.
IEEE Trans. Parallel Distributed Syst., 2011

Autoproc: An automatic proactive replication scheme for P2P storage.
Sci. China Inf. Sci., 2011

User-experience-based availability analysis model and its application in P2P storage systems.
Sci. China Inf. Sci., 2011

Exploring peer heterogeneity: Towards understanding and application.
Proceedings of the 2011 IEEE International Conference on Peer-to-Peer Computing, 2011

On the QoS of Offline Download in Retrieving Peer-Side File Resource.
Proceedings of the International Conference on Parallel Processing, 2011

2010
Towards a more accurate availability evaluation in peer-to-peer storage systems.
Int. J. High Perform. Comput. Netw., 2010

AmazingStore: available, low-cost online storage service using cloudlets.
Proceedings of the 9th international conference on Peer-to-peer systems, 2010

2009
The Neutralizer: a self-configurable failure detector for minimizing distributed storage maintenance cost.
Concurr. Comput. Pract. Exp., 2009

Exploring the Cost-Availability Tradeoff in P2P Storage Systems.
Proceedings of the ICPP 2009, 2009

2008
Probabilistic Failure Detection for Efficient Distributed Storage Maintenance.
Proceedings of the 27th IEEE Symposium on Reliable Distributed Systems (SRDS 2008), 2008

2007
A Data Placement Scheme with Time-Related Model for P2P Storages.
Proceedings of the Seventh IEEE International Conference on Peer-to-Peer Computing (P2P 2007), 2007

2006
Towards a More Accurate Availability Evaluation.
Proceedings of the 2006 International Workshop on Networking, 2006


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