Tianqi Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
20
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPLOS | Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation. | Yaoyao Ding, Bohan Hou, Xiao Zhang, Allan Lin, Tianqi Chen, Cody Hao Yu, Yida Wang, Gennady Pekhimenko |
| 2025 | ACL | Q-Mamba: Towards more efficient Mamba models via post-training quantization. | Tianqi Chen, Yuanteng Chen, Peisong Wang, Weixiang Xu, Zeyu Zhu, Jian Cheng |
| 2025 | ACL | RQT: Hierarchical Residual Quantization for Multi-Model Compression. | Tianqi Chen, Peisong Wang, Weixiang Xu, Zeyu Zhu, Jian Cheng |
| 2025 | ASPLOS | GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism. | 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 | ASPLOS | Relax: Composable Abstractions for End-to-End Dynamic Machine Learning. | 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 | HCI | New Objects, New Methods, and New Verifications-Bie-Modernist Cultural Computing on Contemporary South Korean Literary Works. | Jiafeng Lin, Xirui Niu, Tianqi Chen, Zihan Yin, Zhaoyang Sui |
| 2025 | ICLR | APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding. | Xinyu Yang, Tianqi Chen, Beidi Chen |
| 2025 | ICLR | Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models. | Tianqi Chen, Shujian Zhang, Mingyuan Zhou |
| 2025 | ICLR | MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding. | Ranajoy Sadhukhan, Jian Chen, Zhuoming Chen, Vashisth Tiwari, Ruihang Lai, Jinyuan Shi, Ian En-Hsu Yen, Avner May, Tianqi Chen, Beidi Chen |
| 2025 | ISCAS | ANNs-SaDE: A Machine-Learning-Based Design Automation Framework for Microwave Branch-Line Couplers. | Tianqi Chen, Wei Huang, Qiang Wu, Li Yang, Roberto Gmez-Garca, Xi Zhu |
| 2024 | ICML | A Dense Reward View on Aligning Text-to-Image Diffusion with Preference. | Shentao Yang, Tianqi Chen, Mingyuan Zhou |
| 2023 | ASPLOS | TensorIR: An Abstraction for Automatic Tensorized Program Optimization. | Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen |
| 2023 | ASPLOS | SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning. | Zihao Ye, Ruihang Lai, Junru Shao, Tianqi Chen, Luis Ceze |
| 2023 | ICML | ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines. | Siyuan Chen, Pratik Pramod Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry |
| 2023 | ICML | Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling. | Tianqi Chen, Mingyuan Zhou |
| 2021 | ACSSC | Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements. | Ren Wang, Tianqi Chen, Zhe Xu, Pengzhi Gao |
| 2021 | ICLR | Dynamic Tensor Rematerialization. | Marisa Kirisame, Steven Lyubomirsky, Altan Haan, Jennifer Brennan, Mike He, Jared Roesch, Tianqi Chen, Zachary Tatlock |
| 2020 | CGO | Automatic generation of high-performance quantized machine learning kernels. | Meghan Cowan, Thierry Moreau, Tianqi Chen, James Bornholt, Luis Ceze |
| 2020 | HCI | Risk-Taking Propensity During a Prolonged Voyage at Sea: A Simulator Experiment Study. | Xin Wang, Liang Zhang, Tuoyang Zhou, Zhen Liao, Zhanshuo Zhang, Ning Li, Qiang Yao, Jin Liang, Yang Yu, Zhiqiang Tian, Tianqi Chen |
| 2020 | INFOCOM | Resource Allocation in Drone-Assisted Emergency Communication Systems. | Tianqi Chen, Jian He, Huiling Zhu, Lin Cai, Peng Yue, Jiangzhou Wang |
| 2018 | ASPLOS | PANEL: Open panel and discussion on tackling complexity, reproducibility and tech transfer challenges in a rapidly evolving AI/ML/systems research. | Grigori Fursin, Thierry Moreau, Hillery C. Hunter, Yiran Chen, Charles Qi, Tianqi Chen |
| 2018 | ASPLOS | Leveraging the VTA-TVM Hardware-Software Stack for FPGA Acceleration of 8-bit ResNet-18 Inference. | Thierry Moreau, Tianqi Chen, Luis Ceze |
| 2018 | ASPLOS | Optimizing Deep Learning Workloads on ARM GPU with TVM. | Lanmin Zheng, Tianqi Chen |
| 2018 | OSDI | TVM: An Automated End-to-End Optimizing Compiler for Deep Learning. | 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 | PLDI | Relay: a new IR for machine learning frameworks. | Jared Roesch, Steven Lyubomirsky, Logan Weber, Josh Pollock, Marisa Kirisame, Tianqi Chen, Zachary Tatlock |
| 2017 | ISCA | An end to end IR stack for deep learning systems. | Tianqi Chen |
| 2016 | KDD | XGBoost: A Scalable Tree Boosting System. | Tianqi Chen, Carlos Guestrin |
| 2015 | AISTATS | Efficient Second-Order Gradient Boosting for Conditional Random Fields. | Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin |
| 2014 | ICDM | A Parallel and Efficient Algorithm for Learning to Match. | Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu |
| 2014 | ICML | Stochastic Gradient Hamiltonian Monte Carlo. | Tianqi Chen, Emily B. Fox, Carlos Guestrin |
| 2013 | ICML | General Functional Matrix Factorization Using Gradient Boosting. | Tianqi Chen, Hang Li, Qiang Yang, Yong Yu |
| 2013 | SIGIR | Optimizing top-n collaborative filtering via dynamic negative item sampling. | Weinan Zhang, Tianqi Chen, Jun Wang, Yong Yu |
| 2012 | APWEB | Feature Based Informative Model for Discriminating Favorite Items from Unrated Ones. | Bing Cheng, Tianqi Chen, Diyi Yang, Weinan Zhang, Yongqiang Wang, Yong Yu |
| 2012 | LREC | Semi-Supervised Technical Term Tagging With Minimal User Feedback. | Behrang QasemiZadeh, Paul Buitelaar, Tianqi Chen, Georgeta Bordea |
| 2012 | RecSys | Local implicit feedback mining for music recommendation. | Diyi Yang, Tianqi Chen, Weinan Zhang, Qiuxia Lu, Yong Yu |
| 2012 | SIGIR | Collaborative personalized tweet recommendation. | Kailong Chen, Tianqi Chen, Guoqing Zheng, Ou Jin, Enpeng Yao, Yong Yu |
| 2012 | SIGIR | Collaborative filtering with short term preferences mining. | Diyi Yang, Tianqi Chen, Weinan Zhang, Yong Yu |
| 2010 | WWW | Transfer learning for behavioral targeting. | Tianqi Chen, Jun Yan, Gui-Rong Xue, Zheng Chen |