Tianqi Chen - RankMe

90 papers A* 13A 3B 1C 1Journal 47Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AVO: Agentic Variation Operators for Autonomous Evolutionary Search. CoRR Terry Chen, Zhifan Ye, Bing Xu, Zihao Ye, Timmy Liu, Ali Hassani, Tianqi Chen, Andrew Kerr, Haicheng Wu, Yang Xu, Yu-Jung Chen, Hanfeng Chen, Aditya Kane, Ronny Krashinsky, Ming-Yu Liu, Vinod Grover, Luis Ceze, Roger A. Bringmann, John Tran, Wei Liu, Fung Xie, Michael Lightstone, Humphrey Shi
2026	J	`jnl`	Axe: A Simple Unified Layout Abstraction for Machine Learning Compilers. CoRR Bohan Hou, Hongyi Jin, Guanjie Wang, Jinqi Chen, Yaxing Cai, Lijie Yang, Zihao Ye, Yaoyao Ding, Ruihang Lai, Tianqi Chen
2026	J	`jnl`	FlashInfer-Bench: Building the Virtuous Cycle for AI-driven LLM Systems. CoRR Shanli Xing, Yiyan Zhai, Alexander Jiang, Yixin Dong, Yong Wu, Zihao Ye, Charlie Ruan, Yingyi Huang, Yineng Zhang, Liangsheng Yin, Aksara Bayyapu, Luis Ceze, Tianqi Chen
2026	J	`jnl`	SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits. CoRR Edward Lin, Sahil Modi, Siva Kumar Sastry Hari, Qijing Huang, Zhifan Ye, Nestor Qin, Fengzhe Zhou, Yuan Zhang, Jingquan Wang, Sana Damani, Dheeraj Peri, Ouye Xie, Aditya Kane, Moshe Maor, Michael Behar, Triston Cao, Rishabh Mehta, Vartika Singh, Vikram Sharma Mailthody, Terry Chen, Zihao Ye, Hanfeng Chen, Tianqi Chen, Vinod Grover, Wei Chen, Wei Liu, Eric Chung, Luis Ceze, Roger A. Bringmann, Cyril Zeller, Michael Lightstone, Christos Kozyrakis, Humphrey Shi
2026	—	`conf`	Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation. ASPLOS (1) Yaoyao Ding, Bohan Hou, Xiao Zhang, Allan Lin, Tianqi Chen, Cody Hao Yu, Yida Wang, Gennady Pekhimenko
2026	J	`jnl`	Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems. ACM Comput. Surv. Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Xinhao Cheng, Hongyi Jin, Tianqi Chen, Zhihao Jia
2026	J	`jnl`	VibeTensor: System Software for Deep Learning, Fully Generated by AI Agents. CoRR Bing Xu, Terry Chen, Fengzhe Zhou, Tianqi Chen, Yangqing Jia, Vinod Grover, Haicheng Wu, Wei Liu, Craig Wittenbrink, Wen-Mei Hwu, Roger A. Bringmann, Ming-Yu Liu, Luis Ceze, Michael Lightstone, Humphrey Shi
2026	J	`jnl`	XGrammar 2: Dynamic and Efficient Structured Generation Engine for Agentic LLMs. CoRR Linzhang Li, Yixin Dong, Guanjie Wang, Ziyi Xu, Alexander Jiang, Tianqi Chen
2025	A*	`conf`	APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding. ICLR Xinyu Yang, Tianqi Chen, Beidi Chen
2025	J	`jnl`	APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding. CoRR Xinyu Yang, Tianqi Chen, Beidi Chen
2025	—	`conf`	FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving. MLSys Zihao Ye, Lequn Chen, Ruihang Lai, Wuwei Lin, Yineng Zhang, Stephanie Wang, Tianqi Chen, Baris Kasikci, Vinod Grover, Arvind Krishnamurthy, Luis Ceze
2025	J	`jnl`	FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving. CoRR Zihao Ye, Lequn Chen, Ruihang Lai, Wuwei Lin, Yineng Zhang, Stephanie Wang, Tianqi Chen, Baris Kasikci, Vinod Grover, Arvind Krishnamurthy, Luis Ceze
2025	—	`conf`	GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism. ASPLOS (1) Byungsoo Jeon, Mengdi Wu, Shiyi Cao, Sunghyun Kim, Sunghyun Park, Neeraj Aggarwal, Colin Unger, Daiyaan Arfeen, Peiyuan Liao, Xupeng Miao, Mohammad Alizadeh, Gregory R. Ganger, Tianqi Chen, Zhihao Jia
2025	A*	`conf`	MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding. ICLR Ranajoy Sadhukhan, Jian Chen, Zhuoming Chen, Vashisth Tiwari, Ruihang Lai, Jinyuan Shi, Ian En-Hsu Yen, Avner May, Tianqi Chen, Beidi Chen
2025	J	`jnl`	Mirage Persistent Kernel: A Compiler and Runtime for Mega-Kernelizing Tensor Programs. CoRR Xinhao Cheng, Zhihao Zhang, Yu Zhou, Jianan Ji, Jinchen Jiang, Zepeng Zhao, Ziruo Xiao, Zihao Ye, Yingyi Huang, Ruihang Lai, Hongyi Jin, Bohan Hou, Mengdi Wu, Yixin Dong, Anthony Yip, Songting Wang, Wenqin Yang, Xupeng Miao, Tianqi Chen, Zhihao Jia
2025	J	`jnl`	Multiverse: Your Language Models Secretly Decide How to Parallelize and Merge Generation. CoRR Xinyu Yang, Yuwei An, Hongyi Liu, Tianqi Chen, Beidi Chen
2025	J	`jnl`	Productively Deploying Emerging Models on Emerging Platforms: A Top-Down Approach for Testing and Debugging. Proc. ACM Softw. Eng. Siyuan Feng, Jiawei Liu, Ruihang Lai, Charlie Ruan, Yong Yu, Lingming Zhang, Tianqi Chen
2025	—	`conf`	Relax: Composable Abstractions for End-to-End Dynamic Machine Learning. ASPLOS (2) Ruihang Lai, Junru Shao, Siyuan Feng, Steven Lyubomirsky, Bohan Hou, Wuwei Lin, Zihao Ye, Hongyi Jin, Yuchen Jin, Jiawei Liu, Lesheng Jin, Yaxing Cai, Ziheng Jiang, Yong Wu, Sunghyun Park, Prakalp Srivastava, Jared Roesch, Todd C. Mowry, Tianqi Chen
2025	J	`jnl`	Tilus: A Virtual Machine for Arbitrary Low-Precision GPGPU Computation in LLM Serving. CoRR Yaoyao Ding, Bohan Hou, Xiao Zhang, Allan Lin, Tianqi Chen, Cody Yu Hao, Yida Wang, Gennady Pekhimenko
2025	—	`conf`	XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models. MLSys Yixin Dong, Charlie F. Ruan, Yaxing Cai, Ziyi Xu, Yilong Zhao, Ruihang Lai, Tianqi Chen
2024	J	`jnl`	A System for Microserving of LLMs. CoRR Hongyi Jin, Ruihang Lai, Charlie F. Ruan, Yingcheng Wang, Todd C. Mowry, Xupeng Miao, Zhihao Jia, Tianqi Chen
2024	—	`conf`	ACROBAT: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time. MLSys Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry
2024	—	`conf`	Atom: Low-Bit Quantization for Efficient and Accurate LLM Serving. MLSys Yilong Zhao, Chien-Yu Lin, Kan Zhu, Zihao Ye, Lequn Chen, Size Zheng, Luis Ceze, Arvind Krishnamurthy, Tianqi Chen, Baris Kasikci
2024	J	`jnl`	Emerging Platforms Meet Emerging LLMs: A Year-Long Journey of Top-Down Development. CoRR Siyuan Feng, Jiawei Liu, Ruihang Lai, Charlie F. Ruan, Yong Yu, Lingming Zhang, Tianqi Chen
2024	J	`jnl`	GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism. CoRR Byungsoo Jeon, Mengdi Wu, Shiyi Cao, Sunghyun Kim, Sunghyun Park, Neeraj Aggarwal, Colin Unger, Daiyaan Arfeen, Peiyuan Liao, Xupeng Miao, Mohammad Alizadeh, Gregory R. Ganger, Tianqi Chen, Zhihao Jia
2024	J	`jnl`	Local deployment of large-scale music AI models on commodity hardware. CoRR Xun Zhou, Charlie Ruan, Zihe Zhao, Tianqi Chen, Chris Donahue
2024	J	`jnl`	WebLLM: A High-Performance In-Browser LLM Inference Engine. CoRR Charlie F. Ruan, Yucheng Qin, Xun Zhou, Ruihang Lai, Hongyi Jin, Yixin Dong, Bohan Hou, Meng-Shiun Yu, Yiyan Zhai, Sudeep Agarwal, Hangrui Cao, Siyuan Feng, Tianqi Chen
2024	J	`jnl`	XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models. CoRR Yixin Dong, Charlie F. Ruan, Yaxing Cai, Ruihang Lai, Ziyi Xu, Yilong Zhao, Tianqi Chen
2023	J	`jnl`	ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time. CoRR Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry
2023	J	`jnl`	Atom: Low-bit Quantization for Efficient and Accurate LLM Serving. CoRR Yilong Zhao, Chien-Yu Lin, Kan Zhu, Zihao Ye, Lequn Chen, Size Zheng, Luis Ceze, Arvind Krishnamurthy, Tianqi Chen, Baris Kasikci
2023	A*	`conf`	ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines. ICML Siyuan Chen, Pratik Pramod Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry
2023	J	`jnl`	ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines. CoRR Siyuan Chen, Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry
2023	—	`ed.`	Proceedings of the Sixth Conference on Machine Learning and Systems, MLSys 2023, Miami, FL, USA, June 4-8, 2023 MLSys Dawn Song, Michael Carbin, Tianqi Chen
2023	J	`jnl`	Relax: Composable Abstractions for End-to-End Dynamic Machine Learning. CoRR Ruihang Lai, Junru Shao, Siyuan Feng, Steven S. Lyubomirsky, Bohan Hou, Wuwei Lin, Zihao Ye, Hongyi Jin, Yuchen Jin, Jiawei Liu, Lesheng Jin, Yaxing Cai, Ziheng Jiang, Yong Wu, Sunghyun Park, Prakalp Srivastava, Jared G. Roesch, Todd C. Mowry, Tianqi Chen
2023	—	`conf`	SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning. ASPLOS (3) Zihao Ye, Ruihang Lai, Junru Shao, Tianqi Chen, Luis Ceze
2023	—	`conf`	TensorIR: An Abstraction for Automatic Tensorized Program Optimization. ASPLOS (2) Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen
2023	J	`jnl`	Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems. CoRR Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Xinhao Cheng, Hongyi Jin, Tianqi Chen, Zhihao Jia
2022	B	`conf`	Collage: Seamless Integration of Deep Learning Backends with Automatic Placement. PACT Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia
2022	—	`conf`	DietCode: Automatic Optimization for Dynamic Tensor Programs. MLSys Bojian Zheng, Ziheng Jiang, Cody Hao Yu, Haichen Shen, Joshua Fromm, Yizhi Liu, Yida Wang, Luis Ceze, Tianqi Chen, Gennady Pekhimenko
2022	J	`jnl`	SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning. CoRR Zihao Ye, Ruihang Lai, Junru Shao, Tianqi Chen, Luis Ceze
2022	A*	`conf`	Tensor Program Optimization with Probabilistic Programs. NeurIPS Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, Tianqi Chen
2022	J	`jnl`	Tensor Program Optimization with Probabilistic Programs. CoRR Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, Tianqi Chen
2022	J	`jnl`	TensorIR: An Abstraction for Automatic Tensorized Program Optimization. CoRR Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen
2022	—	`conf`	The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding. MLSys Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry
2021	J	`jnl`	Automated Backend-Aware Post-Training Quantization. CoRR Ziheng Jiang, Animesh Jain, Andrew Liu, Josh Fromm, Chengqian Ma, Tianqi Chen, Luis Ceze
2021	J	`jnl`	Collage: Automated Integration of Deep Learning Backends. CoRR Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia
2021	—	`conf`	Cortex: A Compiler for Recursive Deep Learning Models. MLSys Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry
2021	A*	`conf`	Dynamic Tensor Rematerialization. ICLR Marisa Kirisame, Steven Lyubomirsky, Altan Haan, Jennifer Brennan, Mike He, Jared Roesch, Tianqi Chen, Zachary Tatlock
2021	—	`conf`	TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers. NeurIPS Datasets and Benchmarks Lianmin Zheng, Ruochen Liu, Junru Shao, Tianqi Chen, Joseph Gonzalez, Ion Stoica, Ameer Haj-Ali
2021	J	`jnl`	The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding. CoRR Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry
2020	A	`conf`	Automatic generation of high-performance quantized machine learning kernels. CGO Meghan Cowan, Thierry Moreau, Tianqi Chen, James Bornholt, Luis Ceze
2020	J	`jnl`	Cortex: A Compiler for Recursive Deep Learning Models. CoRR Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry
2020	J	`jnl`	Dynamic Tensor Rematerialization. CoRR Marisa Kirisame, Steven Lyubomirsky, Altan Haan, Jennifer Brennan, Mike He, Jared Roesch, Tianqi Chen, Zachary Tatlock
2019	J	`jnl`	A Hardware-Software Blueprint for Flexible Deep Learning Specialization. IEEE Micro Thierry Moreau, Tianqi Chen, Luis Vega, Jared Roesch, Eddie Q. Yan, Lianmin Zheng, Josh Fromm, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
2019	J	`jnl`	Irreversible samplers from jump and continuous Markov processes. Stat. Comput. Yi-An Ma, Emily B. Fox, Tianqi Chen, Lei Wu
2019	J	`jnl`	Relay: A High-Level IR for Deep Learning. CoRR Jared Roesch, Steven Lyubomirsky, Marisa Kirisame, Josh Pollock, Logan Weber, Ziheng Jiang, Tianqi Chen, Thierry Moreau, Zachary Tatlock
2019	—	`—`	Scalable and Intelligent Learning Systems. Tianqi Chen
2018	J	`jnl`	ADARES: Adaptive Resource Management for Virtual Machines. CoRR Ignacio Cano, Lequn Chen, Pedro Fonseca, Tianqi Chen, Chern Cheah, Karan Gupta, Ramesh Chandra, Arvind Krishnamurthy
2018	J	`jnl`	Automating Generation of Low Precision Deep Learning Operators. CoRR Meghan Cowan, Thierry Moreau, Tianqi Chen, Luis Ceze
2018	A*	`conf`	Learning to Optimize Tensor Programs. NeurIPS Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
2018	J	`jnl`	Learning to Optimize Tensor Programs. CoRR Tianqi Chen, Lianmin Zheng, Eddie Q. Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
2018	—	`conf`	Leveraging the VTA-TVM Hardware-Software Stack for FPGA Acceleration of 8-bit ResNet-18 Inference. ReQuEST@ASPLOS Thierry Moreau, Tianqi Chen, Luis Ceze
2018	—	`conf`	Optimizing Deep Learning Workloads on ARM GPU with TVM. ReQuEST@ASPLOS Lanmin Zheng, Tianqi Chen
2018	—	`conf`	PANEL: Open panel and discussion on tackling complexity, reproducibility and tech transfer challenges in a rapidly evolving AI/ML/systems research. ReQuEST@ASPLOS Grigori Fursin, Thierry Moreau, Hillery C. Hunter, Yiran Chen, Charles Qi, Tianqi Chen
2018	J	`jnl`	Relay: A New IR for Machine Learning Frameworks. CoRR Jared Roesch, Steven Lyubomirsky, Logan Weber, Josh Pollock, Marisa Kirisame, Tianqi Chen, Zachary Tatlock
2018	—	`conf`	Relay: a new IR for machine learning frameworks. MAPL@PLDI Jared Roesch, Steven Lyubomirsky, Logan Weber, Josh Pollock, Marisa Kirisame, Tianqi Chen, Zachary Tatlock
2018	A*	`conf`	TVM: An Automated End-to-End Optimizing Compiler for Deep Learning. OSDI Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Q. Yan, Haichen Shen, Meghan Cowan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
2018	J	`jnl`	TVM: End-to-End Optimization Stack for Deep Learning. CoRR Tianqi Chen, Thierry Moreau, Ziheng Jiang, Haichen Shen, Eddie Q. Yan, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
2018	J	`jnl`	VTA: An Open Hardware-Software Stack for Deep Learning. CoRR Thierry Moreau, Tianqi Chen, Ziheng Jiang, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
2017	—	`conf`	An end to end IR stack for deep learning systems. TIML@ISCA Tianqi Chen
2016	J	`jnl`	Training Deep Nets with Sublinear Memory Cost. CoRR Tianqi Chen, Bing Xu, Chiyuan Zhang, Carlos Guestrin
2016	A*	`conf`	XGBoost: A Scalable Tree Boosting System. KDD Tianqi Chen, Carlos Guestrin
2016	J	`jnl`	XGBoost: A Scalable Tree Boosting System. CoRR Tianqi Chen, Carlos Guestrin
2015	—	`conf`	A Complete Recipe for Stochastic Gradient MCMC. NIPS Yi-An Ma, Tianqi Chen, Emily B. Fox
2015	A	`conf`	Efficient Second-Order Gradient Boosting for Conditional Random Fields. AISTATS Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin
2014	A*	`conf`	A Parallel and Efficient Algorithm for Learning to Match. ICDM Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu
2014	J	`jnl`	A Parallel and Efficient Algorithm for Learning to Match. CoRR Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu
2014	A*	`conf`	Stochastic Gradient Hamiltonian Monte Carlo. ICML Tianqi Chen, Emily B. Fox, Carlos Guestrin
2014	J	`jnl`	Stochastic Gradient Hamiltonian Monte Carlo. CoRR Tianqi Chen, Emily B. Fox, Carlos Guestrin
2013	—	`conf`	General Functional Matrix Factorization Using Gradient Boosting. ICML (1) Tianqi Chen, Hang Li, Qiang Yang, Yong Yu
2013	A*	`conf`	Optimizing top-n collaborative filtering via dynamic negative item sampling. SIGIR Weinan Zhang, Tianqi Chen, Jun Wang, Yong Yu
2012	A*	`conf`	Collaborative filtering with short term preferences mining. SIGIR Diyi Yang, Tianqi Chen, Weinan Zhang, Yong Yu
2012	A*	`conf`	Collaborative personalized tweet recommendation. SIGIR Kailong Chen, Tianqi Chen, Guoqing Zheng, Ou Jin, Enpeng Yao, Yong Yu
2012	—	`conf`	Discriminative Factor Alignment across Heterogeneous Feature Space. ECML/PKDD (2) Fangwei Hu, Tianqi Chen, Nathan Nan Liu, Qiang Yang, Yong Yu
2012	C	`conf`	Feature Based Informative Model for Discriminating Favorite Items from Unrated Ones. APWeb Bing Cheng, Tianqi Chen, Diyi Yang, Weinan Zhang, Yongqiang Wang, Yong Yu
2012	A	`conf`	Local implicit feedback mining for music recommendation. RecSys Diyi Yang, Tianqi Chen, Weinan Zhang, Qiuxia Lu, Yong Yu
2012	—	`conf`	Rating Prediction with Informative Ensemble of Multi-Resolution Dynamic Models. KDD Cup Zhao Zheng, Tianqi Chen, Nathan Nan Liu, Qiang Yang, Yong Yu
2012	J	`jnl`	SVDFeature: a toolkit for feature-based collaborative filtering. J. Mach. Learn. Res. Tianqi Chen, Weinan Zhang, Qiuxia Lu, Kailong Chen, Zhao Zheng, Yong Yu
2012	—	`conf`	Serendipitous Personalized Ranking for Top-N Recommendation. Web Intelligence Qiuxia Lu, Tianqi Chen, Weinan Zhang, Diyi Yang, Yong Yu
2011	J	`jnl`	Feature-Based Matrix Factorization CoRR Tianqi Chen, Zhao Zheng, Qiuxia Lu, Weinan Zhang, Yong Yu