Lin Chen

According to our database, Lin Chen authored at least 40 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

The curious case of adversarially robust models: More data can help, double descend, or hurt generalization.

Yifei Min, Lin Chen, Amin Karbasi

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Multiple Descent: Design Your Own Generalization Curve.

Lin Chen, Yifei Min, Mikhail Belkin, Amin Karbasi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Meta Learning in the Continuous Time Limit.

Ruitu Xu, Lin Chen, Amin Karbasi

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition.

Lin Chen, Qian Yu, Hannah Lawrence, Amin Karbasi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models.

Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi

Proceedings of the 37th International Conference on Machine Learning, 2020

Preference-Aware Mask for Session-Based Recommendation with Bidirectional Transformer.

Yuanxing Zhang, Pengyu Zhao, Yushuo Guan, Lin Chen, Kaigui Bian, Lingyang Song, Bin Cui, Xiaoming Li

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free.

Mingrui Zhang, Lin Chen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Black Box Submodular Maximization: Discrete and Continuous Settings.

Lin Chen, Mingrui Zhang, Hamed Hassani, Amin Karbasi

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Quantized Frank-Wolfe: Communication-Efficient Distributed Optimization.

Mingrui Zhang, Lin Chen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi

CoRR, 2019

Heterogeneous Coexistence of Cognitive Radio Networks in TV White Space.

Kaigui Bian, Lin Chen, Yuanxing Zhang, Jung-Min Park, Xiaojiang Du, Xiaoming Li

CoRR, 2019

Unconstrained submodular maximization with constant adaptive complexity.

Lin Chen, Moran Feldman, Amin Karbasi

Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019

Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback.

Mingrui Zhang, Lin Chen, Hamed Hassani, Amin Karbasi

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Neural Attack Model for Cracking Passwords in Adversarial Environments.

Yushuo Guan, Yuanxing Zhang, Lin Chen, Kaigui Bian

Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019

Projection-Free Bandit Convex Optimization.

Lin Chen, Mingrui Zhang, Amin Karbasi

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Accurate Location Tracking From CSI-Based Passive Device-Free Probabilistic Fingerprinting.

Shuyu Shi, Stephan Sigg, Lin Chen, Yusheng Ji

IEEE Trans. Veh. Technol., 2018

On heterogeneous duty cycles for neighbor discovery in wireless sensor networks.

Lin Chen, Ruolin Fan, Yangbin Zhang, Shuyu Shi, Kaigui Bian, Lin Chen, Pan Zhou, Mario Gerla, Tao Wang, Xiaoming Li

Ad Hoc Networks, 2018

Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity.

Lin Chen, Christopher Harshaw, Hamed Hassani, Amin Karbasi

Proceedings of the 35th International Conference on Machine Learning, 2018

Weakly Submodular Maximization Beyond Cardinality Constraints: Does Randomization Help Greedy?

Lin Chen, Moran Feldman, Amin Karbasi

Proceedings of the 35th International Conference on Machine Learning, 2018

Enabling Symbiotic Coexistence of Heterogeneous Cognitive Radio Networks.

Yuanxing Zhang, Lin Chen, Kaigui Bian, Lingyang Song, Xiaoming Li

Proceedings of the 2018 IEEE International Symposium on Dynamic Spectrum Access Networks, 2018

Early Detection of Rumors in Heterogeneous Mobile Social Network.

Yuanxing Zhang, Kaigui Bian, Lin Chen, Shaoling Dong, Lingyang Song, Xiaoming Li

Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

Comparison Based Learning from Weak Oracles.

Ehsan Kazemi, Lin Chen, Sanjoy Dasgupta, Amin Karbasi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Online Continuous Submodular Maximization.

Lin Chen, Hamed Hassani, Amin Karbasi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Submodular Variational Inference for Network Reconstruction.

Lin Chen, Forrest W. Crawford, Amin Karbasi

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Interactive Submodular Bandit.

Lin Chen, Andreas Krause, Amin Karbasi

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Dynamic Slot-Length Control for Reducing Neighbor Discovery Latency in Wireless Sensor Networks.

Yangbin Zhang, Kaigui Bian, Lin Chen, Pan Zhou, Xiaoming Li

Proceedings of the 2017 IEEE Global Communications Conference, 2017

Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting.

Lin Chen, Seyed Hamed Hassani, Amin Karbasi

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Dimension Coupling: Optimal Active Learning of Halfspaces via Query Synthesis.

Lin Chen, S. Hamed Hassani, Amin Karbasi

CoRR, 2016

Skolem Sequence Based Self-Adaptive Broadcast Protocol in Cognitive Radio Networks.

Lin Chen, Zhiping Xiao, Kaigui Bian, Shuyu Shi, Rui Li, Yusheng Ji

Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Estimating the Size of a Large Network and its Communities from a Random Sample.

Lin Chen, Amin Karbasi, Forrest W. Crawford

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

On diffusion-restricted social network: A measurement study of WeChat moments.

Zhuqi Li, Lin Chen, Yichong Bai, Kaigui Bian, Pan Zhou

Proceedings of the 2016 IEEE International Conference on Communications, 2016

Influence Maximization in Messenger-Based Social Networks.

Yuanxing Zhang, Yichong Bai, Lin Chen, Kaigui Bian, Xiaoming Li

Proceedings of the 2016 IEEE Global Communications Conference, 2016

Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling.

Lin Chen, Forrest W. Crawford, Amin Karbasi

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Multichannel Broadcast Via Channel Hopping in Cognitive Radio Networks.

Lin Chen, Kaigui Bian, Xiaojiang Du, Xiaoming Li

IEEE Trans. Veh. Technol., 2015

On heterogeneous neighbor discovery in wireless sensor networks.

Lin Chen, Ruolin Fan, Kaigui Bian, Lin Chen, Mario Gerla, Tao Wang, Xiaoming Li

Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

TapLock: Exploit finger tap events for enhancing attack resilience of smartphone passwords.

Hongji Yang, Lin Chen, Kaigui Bian, Yang Tian, Fan Ye, Wei Yan, Tong Zhao, Xiaoming Li

Proceedings of the 2015 IEEE International Conference on Communications, 2015

Optimizing average-maximum TTR trade-off for cognitive radio rendezvous.

Lin Chen, Shuyu Shi, Kaigui Bian, Yusheng Ji

Proceedings of the 2015 IEEE International Conference on Communications, 2015

Reading between lines: high-rate, non-intrusive visual codes within regular videos via ImplicitCode.

Shuyu Shi, Lin Chen, Wenjun Hu, Marco Gruteser

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

2014

Addressing the Hidden Terminal Problem for Heterogeneous Coexistence Between TDM and CSMA Networks in White Space.

Kaigui Bian, Jung-Min Park, Lin Chen, Xiaoming Li

IEEE Trans. Veh. Technol., 2014

A group-theoretic framework for rendezvous in heterogeneous cognitive radio networks.

Lin Chen, Kaigui Bian, Lin Chen, Cong Liu, Jung-Min "Jerry" Park, Xiaoming Li

Proceedings of the Fifteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2014

2013

On the cascading spectrum contention problem in self-coexistence of cognitive radio networks.

Lin Chen, Kaigui Bian, Lin Chen, Wei Yan, Xiaoming Li

Proceedings of the 1st ACM workshop on Cognitive radio architectures for broadband, 2013