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2020 – today
- 2024
[c21]Yanjiang Liu, Tianyun Zhong, Yaojie Lu, Hongyu Lin, Ben He, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun:
XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification. ACL (Findings) 2024: 5659-5672- [c20]Lvxue Li, Jiaqi Chen, Xinyu Lu, Yaojie Lu, Hongyu Lin, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun:
Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations. ACL (Findings) 2024: 7203-7215 - [c19]Chunlei Xin, Yaojie Lu, Hongyu Lin, Shuheng Zhou, Huijia Zhu, Weiqiang Wang, Zhongyi Liu, Xianpei Han, Le Sun:
Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning. LREC/COLING 2024: 2307-2317 - [c18]Yichun Zhao, Shuheng Zhou, Huijia Zhu:
Probe Then Retrieve and Reason: Distilling Probing and Reasoning Capabilities into Smaller Language Models. LREC/COLING 2024: 13026-13032 - [c17]Shuheng Zhou, Kristjan H. Greenewald:
Sharper Rates of Convergence for the Tensor Graphical Lasso Estimator. ISIT 2024: 533-538 - [i6]Shuheng Zhou:
Debiasing and a local analysis for population clustering using semidefinite programming. CoRR abs/2401.10927 (2024) - 2023
- [c16]Zhiyuan Ma, Jintao Du, Shuheng Zhou:
Noise-Robust Training with Dynamic Loss and Contrastive Learning for Distantly-Supervised Named Entity Recognition. ACL (Findings) 2023: 10119-10128 - [i5]Shuheng Zhou:
Semidefinite programming on population clustering: a global analysis. CoRR abs/2301.00344 (2023) - 2021
- [c15]Mariam Salloum
, Daniel R. Jeske, Wenxiu Ma, Vagelis Papalexakis, Christian R. Shelton, Vassilis J. Tsotras, Shuheng Zhou:
Developing an Interdisciplinary Data Science Program. SIGCSE 2021: 509-515
2010 – 2019
- 2019
- [c14]Roger Fan, Byoungwook Jang, Yuekai Sun, Shuheng Zhou:
Precision Matrix Estimation with Noisy and Missing Data. AISTATS 2019: 2810-2819 - [i4]Roger Fan, Byoungwook Jang, Yuekai Sun, Shuheng Zhou:
Precision Matrix Estimation with Noisy and Missing Data. CoRR abs/1904.03548 (2019) - 2017
- [c13]Kristjan H. Greenewald, Seyoung Park, Shuheng Zhou, Alexander Giessing:
Time-dependent spatially varying graphical models, with application to brain fMRI data analysis. NIPS 2017: 5832-5840 - 2016
- [j7]T.-H. Hubert Chan, Anupam Gupta, Bruce M. Maggs, Shuheng Zhou:
On Hierarchical Routing in Doubling Metrics. ACM Trans. Algorithms 12(4): 55:1-55:22 (2016) - 2013
- [j6]Mark Rudelson, Shuheng Zhou:
Reconstruction From Anisotropic Random Measurements. IEEE Trans. Inf. Theory 59(6): 3434-3447 (2013) - [j5]Theodoros Tsiligkaridis, Alfred O. Hero III, Shuheng Zhou:
On Convergence of Kronecker Graphical Lasso Algorithms. IEEE Trans. Signal Process. 61(7): 1743-1755 (2013) - [c12]Alfredo A. Kalaitzis, John D. Lafferty, Neil D. Lawrence, Shuheng Zhou:
The Bigraphical Lasso. ICML (3) 2013: 1229-1237 - 2012
- [c11]Theodoros Tsiligkaridis, Alfred O. Hero III, Shuheng Zhou:
Kronecker graphical lasso. SSP 2012: 884-887 - [c10]Mark Rudelson, Shuheng Zhou:
Reconstruction from Anisotropic Random Measurements. COLT 2012: 10.1-10.24 - 2011
- [j4]Shuheng Zhou, Philipp Rütimann, Min Xu, Peter Bühlmann:
High-dimensional Covariance Estimation Based On Gaussian Graphical Models. J. Mach. Learn. Res. 12: 2975-3026 (2011) - [i3]Mark Rudelson, Shuheng Zhou:
Reconstruction from anisotropic random measurements. CoRR abs/1106.1151 (2011) - 2010
- [j3]Shuheng Zhou, John D. Lafferty, Larry A. Wasserman:
Time varying undirected graphs. Mach. Learn. 80(2-3): 295-319 (2010) - [j2]Satish Rao, Shuheng Zhou:
Edge Disjoint Paths in Moderately Connected Graphs. SIAM J. Comput. 39(5): 1856-1887 (2010)
2000 – 2009
- 2009
- [j1]Shuheng Zhou, John D. Lafferty, Larry A. Wasserman:
Compressed and Privacy-Sensitive Sparse Regression. IEEE Trans. Inf. Theory 55(2): 846-866 (2009) - [c9]Shuheng Zhou, Katrina Ligett, Larry A. Wasserman:
Differential privacy with compression. ISIT 2009: 2718-2722 - [c8]Shuheng Zhou:
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation. NIPS 2009: 2304-2312 - 2008
- [c7]Shuheng Zhou, John D. Lafferty, Larry A. Wasserman:
Time Varying Undirected Graphs. COLT 2008: 455-466 - [i2]Shuheng Zhou:
Learning Balanced Mixtures of Discrete Distributions with Small Sample. CoRR abs/0802.1244 (2008) - 2007
- [c6]Avrim Blum, Amin Coja-Oghlan, Alan M. Frieze, Shuheng Zhou:
Separating Populations with Wide Data: A Spectral Analysis. ISAAC 2007: 439-451 - [c5]Shuheng Zhou, John D. Lafferty, Larry A. Wasserman:
Compressed Regression. NIPS 2007: 1713-1720 - [c4]Kamalika Chaudhuri, Eran Halperin, Satish Rao, Shuheng Zhou:
A rigorous analysis of population stratification with limited data. SODA 2007: 1046-1055 - [i1]Shuheng Zhou, John D. Lafferty, Larry A. Wasserman:
Compressed Regression. CoRR abs/0706.0534 (2007) - 2006
- [c3]Satish Rao, Shuheng Zhou:
Edge Disjoint Paths in Moderately Connected Graphs. ICALP (1) 2006: 202-213 - 2005
- [c2]Hubert Tsz-Hong Chan, Anupam Gupta, Bruce M. Maggs, Shuheng Zhou:
On hierarchical routing in doubling metrics. SODA 2005: 762-771 - 2004
- [c1]Xiaolong Yang, Shuheng Zhou, Min Zhang, Xuefei Tang, Jinde Liu:
An Efficient QoS Routing Algorithm Based on Nonlinear Path Distance for Min-Sharing Interference and Load Balancing. CIT 2004: 380-385
Coauthor Index
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