Tianqi Chen

Tianqi Chen's AcademicInfluence.com Rankings

Tianqi Chen

Computer Science

#8870

World Rank

#9324

Historical Rank

Data Mining

#208

World Rank

#209

Historical Rank

Machine Learning

#3748

World Rank

#3794

Historical Rank

Database

#5863

World Rank

#6081

Historical Rank

computer-science Degrees

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Computer Science

Tianqi Chen's Degrees

PhD Computer Science University of Washington
Bachelors Computer Science Shanghai Jiao Tong University

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Tianqi Chen's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

XGBoost: A Scalable Tree Boosting System (2016) (19552)
Empirical Evaluation of Rectified Activations in Convolutional Network (2015) (2277)
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems (2015) (2073)
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning (2018) (987)
Stochastic Gradient Hamiltonian Monte Carlo (2014) (743)
Training Deep Nets with Sublinear Memory Cost (2016) (615)
Net2Net: Accelerating Learning via Knowledge Transfer (2015) (548)
A Complete Recipe for Stochastic Gradient MCMC (2015) (400)
Collaborative personalized tweet recommendation (2012) (286)
Learning to Optimize Tensor Programs (2018) (258)
SVDFeature: a toolkit for feature-based collaborative filtering (2012) (241)
Optimizing top-n collaborative filtering via dynamic negative item sampling (2013) (162)
TVM: End-to-End Optimization Stack for Deep Learning (2018) (159)
XGBoost : Reliable Large-scale Tree Boosting System (2015) (105)
A Hardware–Software Blueprint for Flexible Deep Learning Specialization (2018) (78)
Relay: a new IR for machine learning frameworks (2018) (75)
Extreme Gradient Boosting [R package xgboost version 1.2.0.1] (2020) (55)
Serendipitous Personalized Ranking for Top-N Recommendation (2012) (53)
General Functional Matrix Factorization Using Gradient Boosting (2013) (52)
VTA: An Open Hardware-Software Stack for Deep Learning (2018) (51)
Feature-Based Matrix Factorization (2011) (50)
Local implicit feedback mining for music recommendation (2012) (48)
Relation of a New Interpretation of Stochastic Differential Equations to Ito Process (2011) (47)
Combining Factorization Model and Additive Forest for Collaborative Followee Recommendation (2012) (47)
Dynamic Tensor Rematerialization (2020) (42)
Automatic generation of high-performance quantized machine learning kernels (2020) (29)
Efficient Deep Learning Inference on Edge Devices (2018) (27)
Irreversible samplers from jump and continuous Markov processes (2016) (26)
Biological Sources of Intrinsic and Extrinsic Noise in cI Expression of Lysogenic Phage Lambda (2015) (24)
Dynamical Decomposition of Markov Processes without Detailed Balance (2013) (21)
Efficient Second-Order Gradient Boosting for Conditional Random Fields (2015) (21)
Relay: A High-Level Compiler for Deep Learning (2019) (20)
A Unifying Framework for Devising Efficient and Irreversible MCMC Samplers (2016) (16)
Cortex: A Compiler for Recursive Deep Learning Models (2020) (16)
TVM : End-to-End Compilation Stack for Deep Learning (2018) (15)
Relay: A High-Level IR for Deep Learning (2019) (14)
Leveraging the VTA-TVM Hardware-Software Stack for FPGA Acceleration of 8-bit ResNet-18 Inference (2018) (14)
Informative Ensemble of Multi-Resolution Dynamic Factorization Models (2011) (14)
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding (2021) (13)
TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers (2021) (12)
Automating Generation of Low Precision Deep Learning Operators (2018) (12)
Rating Prediction with Informative Ensemble of Multi-Resolution Dynamic Models (2012) (11)
Optimizing Deep Learning Workloads on ARM GPU with TVM (2018) (10)
A Parallel and Efficient Algorithm for Learning to Match (2014) (9)
Collaborative filtering with short term preferences mining (2012) (8)
Transfer learning for behavioral targeting (2010) (8)
Informative household recommendation with feature-based matrix factorization (2011) (6)
RABIT : A Reliable Allreduce and Broadcast Interface (2015) (6)
Semi-Supervised Technical Term Tagging With Minimal User Feedback (2012) (5)
Discriminative Factor Alignment across Heterogeneous Feature Space (2012) (4)
PANEL: Open panel and discussion on tackling complexity, reproducibility and tech transfer challenges in a rapidly evolving AI/ML/systems research (2018) (3)
An end to end IR stack for deep learning systems (2017) (3)
Understand the noise of CI expression in phage λ lysogen (2012) (3)
ADARES: Adaptive Resource Management for Virtual Machines (2018) (3)
Collage: Automated Integration of Deep Learning Backends (2021) (2)
Relation of Biologically Motivated New Interpretation of (2011) (2)
Collage: Seamless Integration of Deep Learning Backends with Automatic Placement (2021) (1)
USING AUTOTVM TO AUTOMATICALLY GENERATE DEEP LEARNING LIBRARIES FOR MOBILE DEVICES (2019) (1)
Automated Backend-Aware Post-Training Quantization (2021) (1)
Gradient Boosting for Conditional Random Fields (2014) (0)
Flow Decomposition Reveals Dynamical Structure of Markov Process (2012) (0)
THE CORA TENSOR COMPILER: COMPILATION (2021) (0)
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines (2023) (0)
Feature Based Informative Model for Discriminating Favorite Items from Unrated Ones (2012) (0)
Efficient Methods for Model Performance Inference (2022) (0)

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Tianqi Chen's Academic­Influence.com Rankings

Tianqi Chen's Degrees

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Why Is Tianqi Chen Influential?

Tianqi Chen's Published Works

Published Works

Tianqi Chen's AcademicInfluence.com Rankings