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2020 – today
- 2020
[j23]Seokhyun Kim, Kimin Lee
, Yeonkeun Kim, Jinwoo Shin, Seungwon Shin, Song Chong:
Dynamic Control for On-Demand Interference-Managed WLAN Infrastructures. IEEE/ACM Trans. Netw. 28(1): 84-97 (2020)- [j22]Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi:
Information Source Finding in Networks: Querying With Budgets. IEEE/ACM Trans. Netw. 28(5): 2271-2284 (2020) - [c81]Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin:
Regularizing Class-Wise Predictions via Self-Knowledge Distillation. CVPR 2020: 13873-13882 - [c80]Jaehyung Kim, Jongheon Jeong, Jinwoo Shin:
M2m: Imbalanced Classification via Major-to-Minor Translation. CVPR 2020: 13893-13902 - [c79]Junhyeok Jang, Donghyun Gouk, Jinwoo Shin, Myoungsoo Jung:
Platform-Agnostic Lightweight Deep Learning for Garbage Collection Scheduling in SSDs. HotStorage 2020 - [c78]Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee:
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning. ICLR 2020 - [c77]Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin:
Lookahead: A Far-sighted Alternative of Magnitude-based Pruning. ICLR 2020 - [c76]Sungsoo Ahn, Younggyo Seo, Jinwoo Shin:
Learning What to Defer for Maximum Independent Sets. ICML 2020: 134-144 - [c75]Insu Han, Haim Avron, Jinwoo Shin:
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix. ICML 2020: 3984-3993 - [c74]Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Self-supervised Label Augmentation via Input Transformations. ICML 2020: 5714-5724 - [c73]Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin:
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning. ICML 2020: 5757-5766 - [c72]Divyam Madaan, Jinwoo Shin, Sung Ju Hwang:
Adversarial Neural Pruning with Latent Vulnerability Suppression. ICML 2020: 6575-6585 - [c71]Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin:
Guiding Deep Molecular Optimization with Genetic Exploration. NeurIPS 2020 - [c70]In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Time-Reversal Symmetric ODE Network. NeurIPS 2020 - [c69]Jongheon Jeong, Jinwoo Shin:
Consistency Regularization for Certified Robustness of Smoothed Classifiers. NeurIPS 2020 - [c68]Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. NeurIPS 2020 - [c67]Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning. NeurIPS 2020 - [c66]Jaeho Lee, Sejun Park, Jinwoo Shin:
Learning Bounds for Risk-sensitive Learning. NeurIPS 2020 - [c65]Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin:
Learning from Failure: De-biasing Classifier from Biased Classifier. NeurIPS 2020 - [c64]Younggyo Seo, Kimin Lee, Ignasi Clavera Gilaberte, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel:
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning. NeurIPS 2020 - [c63]Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin:
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. NeurIPS 2020 - [i71]Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin:
Lookahead: a Far-Sighted Alternative of Magnitude-based Pruning. CoRR abs/2002.04809 (2020) - [i70]Sangwoo Mo, Minsu Cho, Jinwoo Shin:
Freeze Discriminator: A Simple Baseline for Fine-tuning GANs. CoRR abs/2002.10964 (2020) - [i69]Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin:
Regularizing Class-wise Predictions via Self-knowledge Distillation. CoRR abs/2003.13964 (2020) - [i68]Jaehyung Kim, Jongheon Jeong, Jinwoo Shin:
M2m: Imbalanced Classification via Major-to-minor Translation. CoRR abs/2004.00431 (2020) - [i67]Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin:
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning. CoRR abs/2005.06800 (2020) - [i66]Jongheon Jeong, Jinwoo Shin:
Consistency Regularization for Certified Robustness of Smoothed Classifiers. CoRR abs/2006.04062 (2020) - [i65]Jaeho Lee, Sejun Park, Jinwoo Shin:
Learning Bounds for Risk-sensitive Learning. CoRR abs/2006.08138 (2020) - [i64]Sejun Park, Chulhee Yun, Jaeho Lee, Jinwoo Shin:
Minimum Width for Universal Approximation. CoRR abs/2006.08859 (2020) - [i63]Sungsoo Ahn, Younggyo Seo, Jinwoo Shin:
Learning What to Defer for Maximum Independent Sets. CoRR abs/2006.09607 (2020) - [i62]Kyunghwan Son, Sungsoo Ahn, Roben Delos Reyes, Jinwoo Shin, Yung Yi:
QOPT: Optimistic Value Function Decentralization for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2006.12010 (2020) - [i61]Divyam Madaan, Jinwoo Shin, Sung Ju Hwang:
Learning to Generate Noise for Robustness against Multiple Perturbations. CoRR abs/2006.12135 (2020) - [i60]Jun Hyun Nam, Hyuntak Cha, Sungsoo Ahn, Jaeho Lee, Jinwoo Shin:
Learning from Failure: Training Debiased Classifier from Biased Classifier. CoRR abs/2007.02561 (2020) - [i59]Sungsoo Ahn, Junsu Kim, Hankook Lee, Jinwoo Shin:
Guiding Deep Molecular Optimization with Genetic Exploration. CoRR abs/2007.04897 (2020) - [i58]Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Learning to Sample with Local and Global Contexts in Experience Replay Buffer. CoRR abs/2007.07358 (2020) - [i57]Jihoon Tack, Sangwoo Mo, Jongheon Jeong, Jinwoo Shin:
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. CoRR abs/2007.08176 (2020) - [i56]Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. CoRR abs/2007.08844 (2020) - [i55]In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Time-Reversal Symmetric ODE Network. CoRR abs/2007.11362 (2020) - [i54]Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Few-shot Visual Reasoning with Meta-analogical Contrastive Learning. CoRR abs/2007.12020 (2020) - [i53]Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi:
Information Source Finding in Networks: Querying with Budgets. CoRR abs/2009.00795 (2020) - [i52]Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin:
A Deeper Look at the Layerwise Sparsity of Magnitude-based Pruning. CoRR abs/2010.07611 (2020) - [i51]Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee:
i-Mix: A Strategy for Regularizing Contrastive Representation Learning. CoRR abs/2010.08887 (2020) - [i50]Younggyo Seo, Kimin Lee, Ignasi Clavera, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel:
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning. CoRR abs/2010.13303 (2020) - [i49]Sejun Park, Jaeho Lee, Chulhee Yun, Jinwoo Shin:
Provable Memorization via Deep Neural Networks using Sub-linear Parameters. CoRR abs/2010.13363 (2020) - [i48]Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin:
MASKER: Masked Keyword Regularization for Reliable Text Classification. CoRR abs/2012.09392 (2020)
2010 – 2019
- 2019
- [j21]Jaeyoung Choi, Jinwoo Shin, Yung Yi:
Information source localization with protector diffusion in networks. J. Commun. Networks 21(2): 136-147 (2019) - [j20]Hyeryung Jang, Jinwoo Shin, Yung Yi:
Simulation-Based Distributed Coordination Maximization Over Networks. IEEE Trans. Control. Netw. Syst. 6(2): 713-726 (2019) - [c62]Jungseul Ok, Sewoong Oh, Yunhun Jang, Jinwoo Shin, Yung Yi:
Iterative Bayesian Learning for Crowdsourced Regression. AISTATS 2019: 1486-1495 - [c61]Jae-Hong Kwon, Young-Chai Ko, Jinwoo Shin:
Energy Efficient Power Allocation for Multi-User MIMO Downlink Systems with Statistical Delay Constraints. CSCN 2019: 1-6 - [c60]Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee:
Incremental Learning with Unlabeled Data in the Wild. CVPR Workshops 2019: 29-32 - [c59]Jinwoo Shin, Su-Hong Eom, Chol-U. Lee, Eung-Hyuk Lee:
Techniques for Improving the Reliability of Prosthesis Wearer Muscle Signals Using Pressure and EMG Sensors. EMBC 2019: 5882-5885 - [c58]Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee:
Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild. ICCV 2019: 312-321 - [c57]Sun-Jong Na, Jinwoo Shin, Su-Hong Eom, Eung-Hyuk Lee:
A Study on the Activation of Femoral Prostheses: Focused on the Development of a Decision Tree based Gait Phase Identification Algorithm. ICINCO (1) 2019: 775-780 - [c56]Sangwoo Mo, Minsu Cho, Jinwoo Shin:
InstaGAN: Instance-aware Image-to-Image Translation. ICLR (Poster) 2019 - [c55]Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Learning What and Where to Transfer. ICML 2019: 3030-3039 - [c54]Jongheon Jeong, Jinwoo Shin:
Training CNNs with Selective Allocation of Channels. ICML 2019: 3080-3090 - [c53]Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin:
Robust Inference via Generative Classifiers for Handling Noisy Labels. ICML 2019: 3763-3772 - [c52]Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin:
Spectral Approximate Inference. ICML 2019: 5052-5061 - [c51]Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee:
Towards Condition-Independent Deep Mobile Sensing. MobiSys 2019: 554-555 - [c50]Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin:
Mining GOLD Samples for Conditional GANs. NeurIPS 2019: 6167-6178 - [c49]Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee:
MetaSense: few-shot adaptation to untrained conditions in deep mobile sensing. SenSys 2019: 110-123 - [c48]Yujin Kwon, Hyoungshick Kim, Jinwoo Shin, Yongdae Kim:
Bitcoin vs. Bitcoin Cash: Coexistence or Downfall of Bitcoin Cash? IEEE Symposium on Security and Privacy 2019: 935-951 - [i47]Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin:
Robust Inference via Generative Classifiers for Handling Noisy Labels. CoRR abs/1901.11300 (2019) - [i46]Yujin Kwon, Hyoungshick Kim, Jinwoo Shin, Yongdae Kim:
Bitcoin vs. Bitcoin Cash: Coexistence or Downfall of Bitcoin Cash? CoRR abs/1902.11064 (2019) - [i45]Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee:
Incremental Learning with Unlabeled Data in the Wild. CoRR abs/1903.12648 (2019) - [i44]Jongheon Jeong, Jinwoo Shin:
Training CNNs with Selective Allocation of Channels. CoRR abs/1905.04509 (2019) - [i43]Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin:
Spectral Approximate Inference. CoRR abs/1905.05348 (2019) - [i42]Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Learning What and Where to Transfer. CoRR abs/1905.05901 (2019) - [i41]Insu Han, Haim Avron, Jinwoo Shin:
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix. CoRR abs/1905.11616 (2019) - [i40]Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee:
A Simple Randomization Technique for Generalization in Deep Reinforcement Learning. CoRR abs/1910.05396 (2019) - [i39]Hankook Lee, Sung Ju Hwang, Jinwoo Shin:
Rethinking Data Augmentation: Self-Supervision and Self-Distillation. CoRR abs/1910.05872 (2019) - [i38]Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin:
Mining GOLD Samples for Conditional GANs. CoRR abs/1910.09170 (2019) - 2018
- [j19]Donggyu Yun, Alexandre Proutière, Sumyeong Ahn, Jinwoo Shin, Yung Yi:
Multi-armed Bandit with Additional Observations. Proc. ACM Meas. Anal. Comput. Syst. 2(1): 13:1-13:22 (2018) - [j18]Sungsoo Ahn, Michael Chertkov, Andrew E. Gelfand, Sejun Park, Jinwoo Shin:
Maximum Weight Matching Using Odd-Sized Cycles: Max-Product Belief Propagation and Half-Integrality. IEEE Trans. Inf. Theory 64(3): 1471-1480 (2018) - [j17]Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi:
Optimal Inference in Crowdsourced Classification via Belief Propagation. IEEE Trans. Inf. Theory 64(9): 6127-6138 (2018) - [j16]Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi:
Game Theoretic Perspective of Optimal CSMA. IEEE Trans. Wirel. Commun. 17(1): 194-209 (2018) - [c47]Sungsoo Ahn, Michael Chertkov, Jinwoo Shin, Adrian Weller:
Gauged Mini-Bucket Elimination for Approximate Inference. AISTATS 2018: 10-19 - [c46]Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee:
Hierarchical Novelty Detection for Visual Object Recognition. CVPR 2018: 1034-1042 - [c45]Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin:
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples. ICLR (Poster) 2018 - [c44]Sungsoo Ahn, Michael Chertkov, Adrian Weller, Jinwoo Shin:
Bucket Renormalization for Approximate Inference. ICML 2018: 109-118 - [c43]Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin:
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks. NeurIPS 2018: 7167-7177 - [c42]Insu Han, Haim Avron, Jinwoo Shin:
Stochastic Chebyshev Gradient Descent for Spectral Optimization. NeurIPS 2018: 7397-7407 - [c41]Jonghwan Mun, Kimin Lee, Jinwoo Shin, Bohyung Han:
Learning to Specialize with Knowledge Distillation for Visual Question Answering. NeurIPS 2018: 8092-8102 - [c40]Hyunho Yeo, Youngmok Jung, Jaehong Kim, Jinwoo Shin, Dongsu Han:
Neural Adaptive Content-aware Internet Video Delivery. OSDI 2018: 645-661 - [c39]Donggyu Yun, Sumyeong Ahn, Alexandre Proutière, Jinwoo Shin, Yung Yi:
Multi-armed Bandit with Additional Observations. SIGMETRICS (Abstracts) 2018: 53-55 - [i37]Insu Han, Haim Avron, Jinwoo Shin:
Optimizing Spectral Sums using Randomized Chebyshev Expansions. CoRR abs/1802.06355 (2018) - [i36]Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee:
Hierarchical Novelty Detection for Visual Object Recognition. CoRR abs/1804.00722 (2018) - [i35]Hankook Lee, Jinwoo Shin:
Anytime Neural Prediction via Slicing Networks Vertically. CoRR abs/1807.02609 (2018) - [i34]Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin:
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks. CoRR abs/1807.03888 (2018) - [i33]Hyeryung Jang, Jinwoo Shin, Yung Yi:
Simulation-based Distributed Coordination Maximization over Networks. CoRR abs/1809.04972 (2018) - [i32]Sangwoo Mo, Minsu Cho, Jinwoo Shin:
InstaGAN: Instance-aware Image-to-Image Translation. CoRR abs/1812.10889 (2018) - 2017
- [j15]Tonghoon Suk, Jinwoo Shin:
Scheduling Using Interactive Optimization Oracles for Constrained Queueing Networks. Math. Oper. Res. 42(3): 723-744 (2017) - [j14]Sejun Park, Jinwoo Shin:
Convergence and Correctness of Max-Product Belief Propagation for Linear Programming. SIAM J. Discret. Math. 31(3): 2228-2246 (2017) - [j13]Insu Han, Dmitry Malioutov, Haim Avron, Jinwoo Shin:
Approximating Spectral Sums of Large-Scale Matrices using Stochastic Chebyshev Approximations. SIAM J. Sci. Comput. 39(4) (2017) - [c38]Sejun Park, Yunhun Jang, Andreas Galanis, Jinwoo Shin, Daniel Stefankovic, Eric Vigoda:
Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models. AISTATS 2017: 440-449 - [c37]Boram Jin, Daewoo Kim, Se-Young Yun, Jinwoo Shin, Seongik Hong, Byoung-Joon Lee, Yung Yi:
On the Delay Scaling Laws of Cache Networks. CFI 2017: 3:1-3:6 - [c36]Insu Han, Prabhanjan Kambadur, KyoungSoo Park, Jinwoo Shin:
Faster Greedy MAP Inference for Determinantal Point Processes. ICML 2017: 1384-1393 - [c35]Kimin Lee, Changho Hwang, KyoungSoo Park, Jinwoo Shin:
Confident Multiple Choice Learning. ICML 2017: 2014-2023 - [c34]Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi:
Rumor source detection under querying with untruthful answers. INFOCOM 2017: 1-9 - [c33]Jungseul Ok, Jinwoo Shin, Yung Yi:
Incentivizing strategic users for social diffusion: Quantity or quality? INFOCOM 2017: 1-9 - [c32]Hyeryung Jang, Hyungwon Choi, Yung Yi, Jinwoo Shin:
Adiabatic Persistent Contrastive Divergence learning. ISIT 2017: 3005-3009 - [c31]Sungsoo Ahn, Michael Chertkov, Jinwoo Shin:
Gauging Variational Inference. NIPS 2017: 2881-2890 - [i31]Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yunhun Jang, Yung Yi:
Efficient Learning for Crowdsourced Regression. CoRR abs/1702.08840 (2017) - [i30]Se-Young Yun, Jun Hyun Nam, Sangwoo Mo, Jinwoo Shin:
Contextual Multi-armed Bandits under Feature Uncertainty. CoRR abs/1703.01347 (2017) - [i29]Insu Han, Prabhanjan Kambadur, KyoungSoo Park, Jinwoo Shin:
Faster Greedy MAP Inference for Determinantal Point Processes. CoRR abs/1703.03389 (2017) - [i28]Sejun Park, Eunho Yang, Jinwoo Shin:
Sequential Local Learning for Latent Graphical Models. CoRR abs/1703.04082 (2017) - [i27]Sejun Park, Yunhun Jang, Andreas Galanis, Jinwoo Shin, Daniel Stefankovic, Eric Vigoda:
Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models. CoRR abs/1704.02232 (2017) - [i26]Kimin Lee, Jaehyung Kim, Song Chong, Jinwoo Shin:
Simplified Stochastic Feedforward Neural Networks. CoRR abs/1704.03188 (2017) - [i25]Kimin Lee, Changho Hwang, KyoungSoo Park, Jinwoo Shin:
Confident Multiple Choice Learning. CoRR abs/1706.03475 (2017) - [i24]Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi:
Rumor Source Detection under Querying with Untruthful Answers. CoRR abs/1711.05496 (2017) - [i23]Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin:
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples. CoRR abs/1711.09325 (2017) - 2016
- [j12]Soonyoung Kang, Jaekyun Moon, Jeongseok Ha, Jinwoo Shin:
Breaking the Trapping Sets in LDPC Codes: Check Node Removal and Collaborative Decoding. IEEE Trans. Commun. 64(1): 15-26 (2016) - [j11]Donggyu Yun, Dongmyung Lee, Se-Young Yun, Jinwoo Shin, Yung Yi:
Delay Optimal CSMA With Linear Virtual Channels Under a General Topology. IEEE/ACM Trans. Netw. 24(5): 2847-2857 (2016) - [j10]Se-Young Yun, Jinwoo Shin, Yung Yi:
Distributed Medium Access Over Time-Varying Channels. IEEE/ACM Trans. Netw. 24(5): 3000-3013 (2016) - [j9]Jungseul Ok, Youngmi Jin, Jinwoo Shin, Yung Yi:
On Maximizing Diffusion Speed Over Social Networks With Strategic Users. IEEE/ACM Trans. Netw. 24(6): 3798-3811 (2016) - [c30]Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi:
Optimality of Belief Propagation for Crowdsourced Classification. ICML 2016: 535-544 - [c29]Jaeyoung Choi, Sangwoo Moon, Jinwoo Shin, Yung Yi:
Estimating the rumor source with anti-rumor in social networks. ICNP 2016: 1-6 - [c28]Kimin Lee, Yeonkeun Kim, Seokhyun Kim, Jinwoo Shin, Seungwon Shin, Song Chong:
Just-in-time WLANs: On-demand interference-managed WLAN infrastructures. INFOCOM 2016: 1-9 - [c27]Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi:
Distributed coordination maximization over networks: a stochastic approximation approach. MobiHoc 2016: 181-190 - [c26]Sungsoo Ahn, Michael Chertkov, Jinwoo Shin:
Synthesis of MCMC and Belief Propagation. NIPS 2016: 1453-1461 - [i22]Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi:
Optimality of Belief Propagation for Crowdsourced Classification. CoRR abs/1602.03619 (2016) - [i21]Hyeryung Jang, Hyungwon Choi, Yung Yi, Jinwoo Shin:
Adiabatic Persistent Contrastive Divergence Learning. CoRR abs/1605.08174 (2016) - [i20]Sungsoo Ahn, Michael Chertkov, Jinwoo Shin:
MCMC assisted by Belief Propagaion. CoRR abs/1605.09042 (2016) - [i19]Insu Han, Dmitry Malioutov, Haim Avron, Jinwoo Shin:
Approximating the Spectral Sums of Large-scale Matrices using Chebyshev Approximations. CoRR abs/1606.00942 (2016) - 2015
- [j8]Se-Young Yun, Jinwoo Shin, Yung Yi:
CSMA Using the Bethe Approximation: Scheduling and Utility Maximization. IEEE Trans. Inf. Theory 61(9): 4776-4787 (2015) - [j7]Youngmi Jin, George Kesidis, Jinwoo Shin, Fatih Kocak, Yung Yi:
Impacts of Selfish Behaviors on the Scalability of Hybrid Client-Server and Peer-to-Peer Caching Systems. IEEE/ACM Trans. Netw. 23(6): 1818-1831 (2015) - [c25]Inho Cho, Soya Park, Sejun Park, Dongsu Han, Jinwoo Shin:
Practical message-passing framework for large-scale combinatorial optimization. BigData 2015: 24-31 - [c24]