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Lin Chen 0003
Person information
- unicode name: 陈林
- affiliation: Yale University, New Haven, Connecticut, USA
- affiliation: Peking University, China
Other persons with the same name
- Lin Chen — disambiguation page
- Lin Chen 0001 — Fundamental Research Laboratory, Los Angeles, CA, USA (and 1 more)
- Lin Chen 0002 — Sun Yat-sen (Zhongshan) University, China (and 3 more)
- Lin Chen 0004 — Research Center Jülich, Germany
- Lin Chen 0005 — Xi'an Institute of Post & Telecommunications, China
- Lin Chen 0006
— University of Illinois at Chicago, Natural Language Processing Lab, Chicago, IL, USA
- Lin Chen 0007 — Elizabeth City State University, Department of Mathematics and Computer Science, Elizabeth City, NC, USA (and 1 more)
- Lin Chen 0008 — Ministry of Education, Hunan University, Changsha, China
- Lin Chen 0009
— Texas Tech University, Department of Computer Science, Lubbock, TX, USA (and 5 more)
- Lin Chen 0010
— Arizona State University, Tempe, AZ, USA
- Lin Chen 0012 — Queensland University of Technology, Brisbane, QLD, Australia
- Lin Chen 0013
— Nankai University, Center for Combinatorics and LPMC-TJKLC, Tianjin, China
- Lin Chen 0014
— Jiangxi University of Finance and Economics, School of Statistics, China (and 1 more)
- Lin Chen 0015
— Nanjing University, Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, China (and 1 more)
- Lin Chen 0016
— Guangxi University, Department of Mechatronics Engineering, College of Mechanical Engineering, Nanning, China (and 1 more)
- Lin Chen 0017
— China Meteorological Administration, National Satellite Meteorological Center, Beijing, China (and 1 more)
- Lin Chen 0018
— Chinese Academy of Sciences, Northeast Institute of Geography and Agroecology, Changchun, China (and 1 more)
- Lin Chen 0019
— Shanghai Jiao Tong University, Institute of Image Processing and Network Engineering, China
- Lin Chen 0020 — IBM China Research Lab, Beijing, China (and 1 more)
- Lin Chen 0021
— Wyze Labs, Inc., Kirkland, WA, USA (and 2 more)
- Lin Chen 0022 — Leipzig University, Germany
- Lin Chen 0023
— Chinese Academy of Sciences, Chongqing Institute of Green and Intelligent Technology, China (and 1 more)
- Lin Chen 0024
— University of Hanover, Hannover, Germany
- Lin Chen 0025 — University of Hong Kong
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2020 – today
- 2021
- [c33]Ruitu Xu, Lin Chen, Amin Karbasi:
Meta Learning in the Continuous Time Limit. AISTATS 2021: 3052-3060 - [c32]Lin Chen, Yifei Min, Mikhail Belkin, Amin Karbasi:
Multiple Descent: Design Your Own Generalization Curve. NeurIPS 2021: 8898-8912 - [c31]Yifei Min, Lin Chen, Amin Karbasi:
The curious case of adversarially robust models: More data can help, double descend, or hurt generalization. UAI 2021: 129-139 - 2020
- [c30]Lin Chen, Mingrui Zhang, Hamed Hassani, Amin Karbasi:
Black Box Submodular Maximization: Discrete and Continuous Settings. AISTATS 2020: 1058-1070 - [c29]Mingrui Zhang, Lin Chen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi:
Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free. AISTATS 2020: 3696-3706 - [c28]Yuanxing Zhang
, Pengyu Zhao, Yushuo Guan, Lin Chen, Kaigui Bian, Lingyang Song, Bin Cui
, Xiaoming Li:
Preference-Aware Mask for Session-Based Recommendation with Bidirectional Transformer. ICASSP 2020: 3412-3416 - [c27]Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi:
More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models. ICML 2020: 1670-1680 - [c26]Lin Chen, Qian Yu, Hannah Lawrence, Amin Karbasi:
Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition. NeurIPS 2020 - [i22]Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi:
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models. CoRR abs/2002.04725 (2020) - [i21]Yifei Min, Lin Chen, Amin Karbasi:
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization. CoRR abs/2002.11080 (2020) - [i20]Ruitu Xu, Lin Chen, Amin Karbasi:
Meta Learning in the Continuous Time Limit. CoRR abs/2006.10921 (2020) - [i19]Lin Chen, Yifei Min, Mikhail Belkin, Amin Karbasi:
Multiple Descent: Design Your Own Generalization Curve. CoRR abs/2008.01036 (2020)
2010 – 2019
- 2019
- [c25]Lin Chen, Mingrui Zhang, Amin Karbasi:
Projection-Free Bandit Convex Optimization. AISTATS 2019: 2047-2056 - [c24]Yushuo Guan, Yuanxing Zhang
, Lin Chen, Kaigui Bian:
A Neural Attack Model for Cracking Passwords in Adversarial Environments. ICCC 2019: 183-188 - [c23]Mingrui Zhang, Lin Chen, Hamed Hassani, Amin Karbasi:
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback. NeurIPS 2019: 9206-9217 - [c22]Lin Chen, Moran Feldman, Amin Karbasi:
Unconstrained submodular maximization with constant adaptive complexity. STOC 2019: 102-113 - [i18]Lin Chen, Mingrui Zhang, Hamed Hassani, Amin Karbasi:
Black Box Submodular Maximization: Discrete and Continuous Settings. CoRR abs/1901.09515 (2019) - [i17]Kaigui Bian, Lin Chen, Yuanxing Zhang
, Jung-Min Park, Xiaojiang Du, Xiaoming Li:
Heterogeneous Coexistence of Cognitive Radio Networks in TV White Space. CoRR abs/1902.06035 (2019) - [i16]Mingrui Zhang, Lin Chen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi:
Quantized Frank-Wolfe: Communication-Efficient Distributed Optimization. CoRR abs/1902.06332 (2019) - [i15]Lin Chen, Qian Yu, Hannah Lawrence, Amin Karbasi:
Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition. CoRR abs/1910.10873 (2019) - [i14]Mingrui Zhang, Lin Chen, Hamed Hassani, Amin Karbasi:
Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback. CoRR abs/1910.12424 (2019) - 2018
- [j4]Lin Chen, Ruolin Fan, Yangbin Zhang, Shuyu Shi, Kaigui Bian
, Lin Chen, Pan Zhou, Mario Gerla, Tao Wang, Xiaoming Li:
On heterogeneous duty cycles for neighbor discovery in wireless sensor networks. Ad Hoc Networks 77: 54-68 (2018) - [j3]Shuyu Shi
, Stephan Sigg
, Lin Chen, Yusheng Ji
:
Accurate Location Tracking From CSI-Based Passive Device-Free Probabilistic Fingerprinting. IEEE Trans. Veh. Technol. 67(6): 5217-5230 (2018) - [c21]Ehsan Kazemi, Lin Chen, Sanjoy Dasgupta, Amin Karbasi:
Comparison Based Learning from Weak Oracles. AISTATS 2018: 1849-1858 - [c20]Lin Chen, Hamed Hassani, Amin Karbasi:
Online Continuous Submodular Maximization. AISTATS 2018: 1896-1905 - [c19]Yuanxing Zhang
, Kaigui Bian, Lin Chen, Shaoling Dong, Lingyang Song, Xiaoming Li:
Early Detection of Rumors in Heterogeneous Mobile Social Network. DSC 2018: 294-301 - [c18]Yuanxing Zhang
, Lin Chen, Kaigui Bian, Lingyang Song, Xiaoming Li:
Enabling Symbiotic Coexistence of Heterogeneous Cognitive Radio Networks. DySPAN 2018: 1-5 - [c17]Lin Chen, Moran Feldman, Amin Karbasi:
Weakly Submodular Maximization Beyond Cardinality Constraints: Does Randomization Help Greedy? ICML 2018: 803-812 - [c16]Lin Chen, Christopher Harshaw, Hamed Hassani, Amin Karbasi:
Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity. ICML 2018: 813-822 - [i13]Lin Chen, Hamed Hassani, Amin Karbasi:
Online Continuous Submodular Maximization. CoRR abs/1802.06052 (2018) - [i12]Ehsan Kazemi, Lin Chen, Sanjoy Dasgupta, Amin Karbasi:
Comparison Based Learning from Weak Oracles. CoRR abs/1802.06942 (2018) - [i11]Lin Chen, Mingrui Zhang, Amin Karbasi:
Projection-Free Bandit Convex Optimization. CoRR abs/1805.07474 (2018) - [i10]Lin Chen, Moran Feldman, Amin Karbasi:
Unconstrained Submodular Maximization with Constant Adaptive Complexity. CoRR abs/1811.06603 (2018) - 2017
- [c15]Lin Chen, Seyed Hamed Hassani, Amin Karbasi:
Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting. AAAI 2017: 1798-1804 - [c14]Yangbin Zhang, Kaigui Bian, Lin Chen, Pan Zhou, Xiaoming Li:
Dynamic Slot-Length Control for Reducing Neighbor Discovery Latency in Wireless Sensor Networks. GLOBECOM 2017: 1-6 - [c13]Lin Chen, Andreas Krause, Amin Karbasi:
Interactive Submodular Bandit. NIPS 2017: 141-152 - [c12]Lin Chen, Forrest W. Crawford, Amin Karbasi:
Submodular Variational Inference for Network Reconstruction. UAI 2017 - [i9]Lin Chen, Moran Feldman, Amin Karbasi:
Weakly Submodular Maximization Beyond Cardinality Constraints: Does Randomization Help Greedy? CoRR abs/1707.04347 (2017) - 2016
- [c11]Lin Chen, Forrest W. Crawford, Amin Karbasi:
Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling. AAAI 2016: 1174-1180 - [c10]Yuanxing Zhang
, Yichong Bai, Lin Chen, Kaigui Bian, Xiaoming Li:
Influence Maximization in Messenger-Based Social Networks. GLOBECOM 2016: 1-6 - [c9]Zhuqi Li, Lin Chen, Yichong Bai, Kaigui Bian, Pan Zhou:
On diffusion-restricted social network: A measurement study of WeChat moments. ICC 2016: 1-6 - [c8]Lin Chen, Amin Karbasi, Forrest W. Crawford:
Estimating the Size of a Large Network and its Communities from a Random Sample. NIPS 2016: 3072-3080 - [c7]Lin Chen, Zhiping Xiao
, Kaigui Bian, Shuyu Shi, Rui Li, Yusheng Ji:
Skolem Sequence Based Self-Adaptive Broadcast Protocol in Cognitive Radio Networks. VTC Spring 2016: 1-5 - [i8]Lin Chen, Zhiping Xiao, Kaigui Bian, Shuyu Shi, Rui Li, Yusheng Ji:
Skolem Sequence Based Self-adaptive Broadcast Protocol in Cognitive Radio Networks. CoRR abs/1602.00066 (2016) - [i7]Zhuqi Li, Lin Chen, Yichong Bai, Kaigui Bian, Pan Zhou:
On Diffusion-restricted Social Network: A Measurement Study of WeChat Moments. CoRR abs/1602.00193 (2016) - [i6]Lin Chen, S. Hamed Hassani, Amin Karbasi:
Dimension Coupling: Optimal Active Learning of Halfspaces via Query Synthesis. CoRR abs/1603.03515 (2016) - [i5]Lin Chen, Amin Karbasi, Forrest W. Crawford:
Submodular Variational Inference for Network Reconstruction. CoRR abs/1603.08616 (2016) - [i4]Lin Chen, Amin Karbasi, Forrest W. Crawford:
Estimating the Size of a Large Network and its Communities from a Random Sample. CoRR abs/1610.08473 (2016) - 2015
- [j2]Lin Chen, Kaigui Bian, Xiaojiang Du, Xiaoming Li:
Multichannel Broadcast Via Channel Hopping in Cognitive Radio Networks. IEEE Trans. Veh. Technol. 64(7): 3004-3017 (2015) - [c6]Shuyu Shi, Lin Chen, Wenjun Hu, Marco Gruteser:
Reading between lines: high-rate, non-intrusive visual codes within regular videos via ImplicitCode. UbiComp 2015: 157-168 - [c5]Hongji Yang, Lin Chen, Kaigui Bian, Yang Tian, Fan Ye, Wei Yan, Tong Zhao, Xiaoming Li:
TapLock: Exploit finger tap events for enhancing attack resilience of smartphone passwords. ICC 2015: 7139-7144 - [c4]Lin Chen, Shuyu Shi, Kaigui Bian, Yusheng Ji:
Optimizing average-maximum TTR trade-off for cognitive radio rendezvous. ICC 2015: 7707-7712 - [c3]Lin Chen, Ruolin Fan, Kaigui Bian, Lin Chen, Mario Gerla, Tao Wang, Xiaoming Li:
On heterogeneous neighbor discovery in wireless sensor networks. INFOCOM 2015: 693-701 - [i3]Lin Chen, Shuyu Shi, Kaigui Bian, Yusheng Ji:
Optimizing Average-Maximum TTR Trade-off for Cognitive Radio Rendezvous. CoRR abs/1502.03469 (2015) - [i2]Lin Chen, Forrest W. Crawford, Amin Karbasi:
Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling. CoRR abs/1511.04137 (2015) - 2014
- [j1]Kaigui Bian, Jung-Min Park, Lin Chen, Xiaoming Li:
Addressing the Hidden Terminal Problem for Heterogeneous Coexistence Between TDM and CSMA Networks in White Space. IEEE Trans. Veh. Technol. 63(9): 4450-4463 (2014) - [c2]Lin Chen, Kaigui Bian, Lin Chen, Cong Liu, Jung-Min "Jerry" Park, Xiaoming Li:
A group-theoretic framework for rendezvous in heterogeneous cognitive radio networks. MobiHoc 2014: 165-174 - [i1]Lin Chen, Ruolin Fan, Kaigui Bian, Lin Chen, Mario Gerla, Tao Wang, Xiaoming Li:
On Heterogeneous Neighbor Discovery in Wireless Sensor Networks. CoRR abs/1411.5415 (2014) - 2013
- [c1]Lin Chen, Kaigui Bian, Lin Chen, Wei Yan, Xiaoming Li:
On the cascading spectrum contention problem in self-coexistence of cognitive radio networks. CRAB@MobiCom 2013: 3-12
Coauthor Index
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