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ORCIDTianqi Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Tianqi Chen 0001 — Carnegie Mellon University, USA (and 1 more)
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2020 – today
- 2023
[c23]Zihao Ye, Ruihang Lai, Junru Shao, Tianqi Chen, Luis Ceze:
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning. ASPLOS (3) 2023: 660-678- [c22]Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen:
TensorIR: An Abstraction for Automatic Tensorized Program Optimization. ASPLOS (2) 2023: 804-817 - [i16]Siyuan Chen, Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry:
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines. CoRR abs/2302.03851 (2023) - 2022
- [j8]Ren Wang
, Tianqi Chen, Stephen Lindsly, Cooper Stansbury, Alnawaz Rehemtulla, Indika Rajapakse, Alfred O. Hero III:
RAILS: A Robust Adversarial Immune-Inspired Learning System. IEEE Access 10: 22061-22078 (2022) - [j7]Ren Wang, Tianqi Chen, Philip Yao, Sijia Liu, Indika Rajapakse, Alfred O. Hero III:
ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense. IEEE Access 10: 103074-103088 (2022) - [c21]Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia:
Collage: Seamless Integration of Deep Learning Backends with Automatic Placement. PACT 2022: 517-529 - [c20]Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry:
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding. MLSys 2022 - [i15]Tianning Zhang, Lay Kee Ang, Tianqi Chen, Bo Yang, Erping Li:
Stack operation of tensor networks. CoRR abs/2203.16338 (2022) - [i14]Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, Tianqi Chen:
Tensor Program Optimization with Probabilistic Programs. CoRR abs/2205.13603 (2022) - [i13]Elias Jääsaari, Michelle Ma, Ameet Talwalkar, Tianqi Chen:
SONAR: Joint Architecture and System Optimization Search. CoRR abs/2208.12218 (2022) - 2021
- [c19]Ren Wang, Tianqi Chen, Zhe Xu, Pengzhi Gao:
Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements. ACSCC 2021: 1656-1660 - [c18]Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry:
Cortex: A Compiler for Recursive Deep Learning Models. MLSys 2021 - [i12]Ren Wang, Tianqi Chen, Philip Yao, Sijia Liu, Indika Rajapakse, Alfred O. Hero III:
ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense. CoRR abs/2106.14300 (2021) - [i11]Ren Wang, Tianqi Chen, Stephen Lindsly, Cooper Stansbury, Alnawaz Rehemtulla, Indika Rajapakse, Alfred O. Hero III:
RAILS: A Robust Adversarial Immune-inspired Learning System. CoRR abs/2107.02840 (2021) - [i10]Ren Wang, Tianqi Chen, Stephen Lindsly, Cooper Stansbury, Indika Rajapakse, Alfred Olivier Hero:
Immuno-mimetic Deep Neural Networks (Immuno-Net). CoRR abs/2107.02842 (2021) - [i9]Ren Wang, Tianqi Chen:
Deep Adversarially-Enhanced k-Nearest Neighbors. CoRR abs/2108.06797 (2021) - [i8]Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry:
The CoRa Tensor Compiler: Compilation for Ragged Tensors with Minimal Padding. CoRR abs/2110.10221 (2021) - [i7]Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia:
Collage: Automated Integration of Deep Learning Backends. CoRR abs/2111.00655 (2021) - 2020
- [j6]Yining Mu, Fanqi Tang, Makram Ibrahim, Yan Zhu, Wenxin Liu, Zhe Cao, Tianqi Chen:
Optimization Design of Self-Triggered Complex Detector for Space Range-Gated Imaging System. IEEE Access 8: 202555-202562 (2020) - [j5]Fatemeh Homayounieh, Ramandeep Singh, Tianqi Chen, Ellen J. Sugarman, Thomas J. Schultz, Subba R. Digumarthy, Keith J. Dreyer, Mannudeep K. Kalra:
Viewing Imaging Studies: How Patient Location and Imaging Site Affect Referring Physicians. J. Digit. Imaging 33(2): 334-340 (2020) - [j4]Mohamed Sharafeldin, Karteek Kadimisetty, Ketki S. Bhalerao, Tianqi Chen, James F. Rusling:
3D-Printed Immunosensor Arrays for Cancer Diagnostics. Sensors 20(16): 4514 (2020) - [c17]Xin Wang, Liang Zhang, Tuoyang Zhou, Zhen Liao, Zhanshuo Zhang, Ning Li, Qiang Yao, Jin Liang, Yang Yu, Zhiqiang Tian, Tianqi Chen:
Risk-Taking Propensity During a Prolonged Voyage at Sea: A Simulator Experiment Study. HCI (12) 2020: 519-529 - [c16]Tianqi Chen, Jian He, Huiling Zhu, Lin Cai, Peng Yue, Jiangzhou Wang:
Resource Allocation in Drone-Assisted Emergency Communication Systems. INFOCOM Workshops 2020: 132-137 - [i6]Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry:
Cortex: A Compiler for Recursive Deep Learning Models. CoRR abs/2011.01383 (2020) - [i5]Ren Wang, Tianqi Chen, Stephen Lindsly, Alnawaz Rehemtulla, Alfred O. Hero III, Indika Rajapakse:
RAILS: A Robust Adversarial Immune-inspired Learning System. CoRR abs/2012.10485 (2020)
2010 – 2019
- 2016
- [c15]Tianqi Chen, Ian J. Goodfellow, Jonathon Shlens:
Net2Net: Accelerating Learning via Knowledge Transfer. ICLR 2016 - 2015
- [i4]Bing Xu, Naiyan Wang, Tianqi Chen, Mu Li:
Empirical Evaluation of Rectified Activations in Convolutional Network. CoRR abs/1505.00853 (2015) - [i3]Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, Zheng Zhang:
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems. CoRR abs/1512.01274 (2015) - 2014
- [c14]Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu:
A Parallel and Efficient Algorithm for Learning to Match. ICDM 2014: 971-976 - [c13]Tianqi Chen, Tong He:
Higgs Boson Discovery with Boosted Trees. HEPML@NIPS 2014: 69-80 - [i2]Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu:
A Parallel and Efficient Algorithm for Learning to Match. CoRR abs/1410.6414 (2014) - 2013
- [c12]Tianqi Chen, Hang Li, Qiang Yang, Yong Yu:
General Functional Matrix Factorization Using Gradient Boosting. ICML (1) 2013: 436-444 - [c11]Weinan Zhang, Tianqi Chen, Jun Wang, Yong Yu:
Optimizing top-n collaborative filtering via dynamic negative item sampling. SIGIR 2013: 785-788 - 2012
- [j3]Tianqi Chen, Weinan Zhang, Qiuxia Lu, Kailong Chen, Zhao Zheng, Yong Yu:
SVDFeature: a toolkit for feature-based collaborative filtering. J. Mach. Learn. Res. 13: 3619-3622 (2012) - [c10]Bing Cheng, Tianqi Chen, Diyi Yang, Weinan Zhang, Yongqiang Wang, Yong Yu:
Feature Based Informative Model for Discriminating Favorite Items from Unrated Ones. APWeb 2012: 146-157 - [c9]Behrang QasemiZadeh, Paul Buitelaar, Tianqi Chen, Georgeta Bordea:
Semi-Supervised Technical Term Tagging With Minimal User Feedback. LREC 2012: 617-621 - [c8]Fangwei Hu, Tianqi Chen, Nathan Nan Liu, Qiang Yang, Yong Yu:
Discriminative Factor Alignment across Heterogeneous Feature Space. ECML/PKDD (2) 2012: 757-772 - [c7]Diyi Yang, Tianqi Chen, Weinan Zhang, Qiuxia Lu, Yong Yu:
Local implicit feedback mining for music recommendation. RecSys 2012: 91-98 - [c6]Kailong Chen, Tianqi Chen, Guoqing Zheng, Ou Jin, Enpeng Yao, Yong Yu:
Collaborative personalized tweet recommendation. SIGIR 2012: 661-670 - [c5]Diyi Yang, Tianqi Chen, Weinan Zhang, Yong Yu:
Collaborative filtering with short term preferences mining. SIGIR 2012: 1043-1044 - [c4]Qiuxia Lu, Tianqi Chen, Weinan Zhang, Diyi Yang, Yong Yu:
Serendipitous Personalized Ranking for Top-N Recommendation. Web Intelligence 2012: 258-265 - [c3]Zhao Zheng, Tianqi Chen, Nathan Nan Liu, Qiang Yang, Yong Yu:
Rating Prediction with Informative Ensemble of Multi-Resolution Dynamic Models. KDD Cup 2012: 75-97 - 2011
- [j2]Jihao Yin, Tianqi Chen:
Direction-of-Arrival Estimation Using a Sparse Representation of Array Covariance Vectors. IEEE Trans. Signal Process. 59(9): 4489-4493 (2011) - [i1]Tianqi Chen, Zhao Zheng, Qiuxia Lu, Weinan Zhang, Yong Yu:
Feature-Based Matrix Factorization. CoRR abs/1109.2271 (2011) - 2010
- [c2]Tianqi Chen, Jun Yan, Gui-Rong Xue, Zheng Chen:
Transfer learning for behavioral targeting. WWW 2010: 1077-1078
2000 – 2009
- 2008
- [j1]Zhong Wen, Liping Li, Tianqi Chen, Xixiang Zhang:
Joint multiple parameters estimation for coherent chirp signals using vector sensor array. Sci. China Ser. F Inf. Sci. 51(1): 93-100 (2008)
1990 – 1999
- 1998
- [c1]Xin Su, Tianqi Chen:
Simultaneously estimating frequency and direction of coherent signal via an array triplet in motion. EUSIPCO 1998: 1-4
Coauthor Index
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