| 2025 | ACL | Debiasing Online Preference Learning via Preference Feature Preservation. | Dongyoung Kim, Jinsung Yoon, Jinwoo Shin, Jaehyung Kim |
| 2025 | CVPR | Controllable Human Image Generation with Personalized Multi-Garments. | Yisol Choi, Sangkyung Kwak, Sihyun Yu, Hyungwon Choi, Jinwoo Shin |
| 2025 | CVPR | Efficient Long Video Tokenization via Coordinate-based Patch Reconstruction. | Huiwon Jang, Sihyun Yu, Jinwoo Shin, Pieter Abbeel, Younggyo Seo |
| 2025 | CVPR | Calibrated Multi-Preference Optimization for Aligning Diffusion Models. | Kyungmin Lee, Xiahong Li, Qifei Wang, Junfeng He, Junjie Ke, Ming-Hsuan Yang, Irfan Essa, Jinwoo Shin, Feng Yang, Yinxiao Li |
| 2025 | CVPR | Closest Neighbors are Harmful for Lightweight Masked Auto-encoders. | Jian Meng, Ahmed Hassan, Li Yang, Deliang Fan, Jinwoo Shin, Jae-sun Seo |
| 2025 | EMNLP | Think Clearly: Improving Reasoning via Redundant Token Pruning. | Daewon Choi, Jimin Lee, Jihoon Tack, Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi, Bhavana Ganesh, Jinwoo Shin, Aram Galstyan, Sravan Babu Bodapati |
| 2025 | EMNLP | Mamba Drafters for Speculative Decoding. | Daewon Choi, Seunghyuk Oh, Saket Dingliwal, Jihoon Tack, Kyuyoung Kim, Woomin Song, Seojin Kim, Insu Han, Jinwoo Shin, Aram Galstyan, Shubham Katiyar, Sravan Babu Bodapati |
| 2025 | EMNLP | Personalized Language Models via Privacy-Preserving Evolutionary Model Merging. | Kyuyoung Kim, Jinwoo Shin, Jaehyung Kim |
| 2025 | EMNLP | Training Text-to-Molecule Models with Context-Aware Tokenization. | Seojin Kim, Hyeontae Song, Jaehyun Nam, Jinwoo Shin |
| 2025 | EMNLP | Accelerated Test-Time Scaling with Model-Free Speculative Sampling. | Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi, Bhavana Ganesh, Jinwoo Shin, Aram Galstyan, Sravan Babu Bodapati |
| 2025 | ICCV | Tuning-Free Multi-Event Long Video Generation via Synchronized Coupled Sampling. | Subin Kim, Seoung Wug Oh, Jui-Hsien Wang, Joon-Young Lee, Jinwoo Shin |
| 2025 | ICLR | DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing. | June Suk Choi, Kyungmin Lee, Jongheon Jeong, Saining Xie, Jinwoo Shin, Kimin Lee |
| 2025 | ICLR | Subtask-Aware Visual Reward Learning from Segmented Demonstrations. | Changyeon Kim, Minho Heo, Doohyun Lee, Honglak Lee, Jinwoo Shin, Joseph J. Lim, Kimin Lee |
| 2025 | ICLR | Controllable Blur Data Augmentation Using 3D-Aware Motion Estimation. | Insoo Kim, Hana Lee, Hyong-Euk Lee, Jinwoo Shin |
| 2025 | ICLR | Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment. | Dongyoung Kim, Kimin Lee, Jinwoo Shin, Jaehyung Kim |
| 2025 | ICLR | Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents. | Dongjun Lee, Juyong Lee, Kyuyoung Kim, Jihoon Tack, Jinwoo Shin, Yee Whye Teh, Kimin Lee |
| 2025 | ICLR | Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think. | Sihyun Yu, Sangkyung Kwak, Huiwon Jang, Jongheon Jeong, Jonathan Huang, Jinwoo Shin, Saining Xie |
| 2025 | ICML | PRIME: Deep Imbalanced Regression with Proxies. | Jongin Lim, Sucheol Lee, Daeho Um, Sung-Un Park, Jinwoo Shin |
| 2025 | ICML | Peri-LN: Revisiting Normalization Layer in the Transformer Architecture. | Jeonghoon Kim, Byeongchan Lee, Cheonbok Park, Yeontaek Oh, Beomjun Kim, Taehwan Yoo, Seongjin Shin, Dongyoon Han, Jinwoo Shin, Kang Min Yoo |
| 2025 | ICML | Test-Time Adaptation with Binary Feedback. | Taeckyung Lee, Sorn Chottananurak, Junsu Kim, Jinwoo Shin, Taesik Gong, Sung-Ju Lee |
| 2025 | ICML | ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification. | Hyunseok Lee, Seunghyuk Oh, Jaehyung Kim, Jinwoo Shin, Jihoon Tack |
| 2025 | IJCAI | StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment. | Younghyun Kim, Jongheon Jeong, Sangkyung Kwak, Kyungmin Lee, Juho Lee, Jinwoo Shin |
| 2024 | CVPR | Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization. | Insoo Kim, Jaeseok Choi, Geonseok Seo, Kinam Kwon, Jinwoo Shin, Hyong-Euk Lee |
| 2024 | CVPR | Discovering and Mitigating Visual Biases Through Keyword Explanation. | Younghyun Kim, Sangwoo Mo, Minkyu Kim, Kyungmin Lee, Jaeho Lee, Jinwoo Shin |
| 2024 | ECCV | Adversarial Robustification via Text-to-Image Diffusion Models. | Daewon Choi, Jongheon Jeong, Huiwon Jang, Jinwoo Shin |
| 2024 | ECCV | Improving Diffusion Models for Authentic Virtual Try-on in the Wild. | Yisol Choi, Sangkyung Kwak, Kyungmin Lee, Hyungwon Choi, Jinwoo Shin |
| 2024 | ECCV | Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion. | Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee |
| 2024 | EMNLP | Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback. | Kyuyoung Kim, Ah Jeong Seo, Hao Liu, Jinwoo Shin, Kimin Lee |
| 2024 | ICLR | Querying Easily Flip-flopped Samples for Deep Active Learning. | Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang D. Yoo |
| 2024 | ICLR | Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models. | Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dj Dvijotham, Jinwoo Shin, Kimin Lee |
| 2024 | ICLR | SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs. | Jaehyung Kim, Jaehyun Nam, Sangwoo Mo, Jongjin Park, Sang-Woo Lee, Minjoon Seo, Jung-Woo Ha, Jinwoo Shin |
| 2024 | ICLR | DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow. | Kyungmin Lee, Kihyuk Sohn, Jinwoo Shin |
| 2024 | ICLR | Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs. | Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin |
| 2024 | ICLR | Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition. | Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar |
| 2024 | ICML | Visual Representation Learning with Stochastic Frame Prediction. | Huiwon Jang, Dongyoung Kim, Junsu Kim, Jinwoo Shin, Pieter Abbeel, Younggyo Seo |
| 2024 | ICML | Data-Efficient Molecular Generation with Hierarchical Textual Inversion. | Seojin Kim, Jaehyun Nam, Sihyun Yu, Younghoon Shin, Jinwoo Shin |
| 2023 | AAAI | Confidence-Aware Training of Smoothed Classifiers for Certified Robustness. | Jongheon Jeong, Seojin Kim, Jinwoo Shin |
| 2023 | ACL | infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information. | Jaehyung Kim, Yekyung Kim, Karin de Langis, Jinwoo Shin, Dongyeop Kang |
| 2023 | AISTATS | Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles. | Jung-Hun Kim, Se-Young Yun, Minchan Jeong, Junhyun Nam, Jinwoo Shin, Richard Combes |
| 2023 | CVPR | BiasAdv: Bias-Adversarial Augmentation for Model Debiasing. | Jongin Lim, Youngdong Kim, Byungjai Kim, Chanho Ahn, Jinwoo Shin, Eunho Yang, Seungju Han |
| 2023 | CVPR | Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck. | Jongheon Jeong, Sihyun Yu, Hankook Lee, Jinwoo Shin |
| 2023 | CVPR | IFSeg: Image-free Semantic Segmentation via Vision-Language Model. | Sukmin Yun, Seong Hyeon Park, Paul Hongsuck Seo, Jinwoo Shin |
| 2023 | CVPR | Video Probabilistic Diffusion Models in Projected Latent Space. | Sihyun Yu, Kihyuk Sohn, Subin Kim, Jinwoo Shin |
| 2023 | ICASSP | String-Based Molecule Generation Via Multi-Decoder VAE. | Kisoo Kwon, Kuhwan Jeong, Junghyun Park, Hwidong Na, Jinwoo Shin |
| 2023 | ICLR | Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning. | Huiwon Jang, Hankook Lee, Jinwoo Shin |
| 2023 | ICLR | Preference Transformer: Modeling Human Preferences using Transformers for RL. | Changyeon Kim, Jongjin Park, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee |
| 2023 | ICLR | Imitating Graph-Based Planning with Goal-Conditioned Policies. | Junsu Kim, Younggyo Seo, Sungsoo Ahn, Kyunghwan Son, Jinwoo Shin |
| 2023 | ICLR | Guiding Energy-based Models via Contrastive Latent Variables. | Hankook Lee, Jongheon Jeong, Sejun Park, Jinwoo Shin |
| 2023 | ICLR | STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables. | Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin |
| 2023 | ICML | Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning. | Jaehyung Kim, Jinwoo Shin, Dongyeop Kang |
| 2023 | ICML | Modality-Agnostic Variational Compression of Implicit Neural Representations. | Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin |
| 2023 | ICML | Multi-View Masked World Models for Visual Robotic Manipulation. | Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel |
| 2022 | AAAI | Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. | Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang |
| 2022 | AAAI | Consistency Regularization for Adversarial Robustness. | Jihoon Tack, Sihyun Yu, Jongheon Jeong, Minseon Kim, Sung Ju Hwang, Jinwoo Shin |
| 2022 | CVPR | Self-Supervised Dense Consistency Regularization for Image-to-Image Translation. | Minsu Ko, Eunju Cha, Sungjoo Suh, Huijin Lee, Jae-Joon Han, Jinwoo Shin, Bohyung Han |
| 2022 | CVPR | Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning. | Jian Meng, Li Yang, Jinwoo Shin, Deliang Fan, Jae-Sun Seo |
| 2022 | CVPR | Patch-level Representation Learning for Self-supervised Vision Transformers. | Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin |
| 2022 | ECCV | K-centered Patch Sampling for Efficient Video Recognition. | Seong Hyeon Park, Jihoon Tack, Byeongho Heo, Jung-Woo Ha, Jinwoo Shin |
| 2022 | ECCV | OpenCoS: Contrastive Semi-supervised Learning for Handling Open-Set Unlabeled Data. | Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin |
| 2022 | ICLR | What Makes Better Augmentation Strategies? Augment Difficult but Not too Different. | Jaehyung Kim, Dongyeop Kang, Sungsoo Ahn, Jinwoo Shin |
| 2022 | ICLR | Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation. | Jun Hyun Nam, Jaehyung Kim, Jaeho Lee, Jinwoo Shin |
| 2022 | ICLR | Model-augmented Prioritized Experience Replay. | Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang |
| 2022 | ICLR | SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning. | Jongjin Park, Younggyo Seo, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee |
| 2022 | ICLR | Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. | Sihyun Yu, Jihoon Tack, Sangwoo Mo, Hyunsu Kim, Junho Kim, Jung-Woo Ha, Jinwoo Shin |
| 2022 | ICML | TSPipe: Learn from Teacher Faster with Pipelines. | Hwijoon Lim, Yechan Kim, Sukmin Yun, Jinwoo Shin, Dongsu Han |
| 2022 | ICML | Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning. | Kyunghwan Son, Junsu Kim, Sungsoo Ahn, Roben Delos Reyes, Yung Yi, Jinwoo Shin |
| 2022 | ICML | Time Is MattEr: Temporal Self-supervision for Video Transformers. | Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin |
| 2021 | AAAI | MASKER: Masked Keyword Regularization for Reliable Text Classification. | Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin |
| 2021 | AAAI | GTA: Graph Truncated Attention for Retrosynthesis. | Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang |
| 2021 | COLT | Provable Memorization via Deep Neural Networks using Sub-linear Parameters. | Sejun Park, Jaeho Lee, Chulhee Yun, Jinwoo Shin |
| 2021 | CoRL | Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble. | Seunghyun Lee, Younggyo Seo, Kimin Lee, Pieter Abbeel, Jinwoo Shin |
| 2021 | CVPR | Quality-Agnostic Image Recognition via Invertible Decoder. | Insoo Kim, Seungju Han, Ji-Won Baek, Seong-Jin Park, Jae-Joon Han, Jinwoo Shin |
| 2021 | ICCV | Co | Hyuntak Cha, Jaeho Lee, Jinwoo Shin |
| 2021 | ICLR | Training GANs with Stronger Augmentations via Contrastive Discriminator. | Jongheon Jeong, Jinwoo Shin |
| 2021 | ICLR | Layer-adaptive Sparsity for the Magnitude-based Pruning. | Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin |
| 2021 | ICLR | i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning. | Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee |
| 2021 | ICLR | Learning to Sample with Local and Global Contexts in Experience Replay Buffer. | Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang |
| 2021 | ICLR | Minimum Width for Universal Approximation. | Sejun Park, Chulhee Yun, Jaeho Lee, Jinwoo Shin |
| 2021 | ICML | Self-Improved Retrosynthetic Planning. | Junsu Kim, Sungsoo Ahn, Hankook Lee, Jinwoo Shin |
| 2021 | ICML | Learning to Generate Noise for Multi-Attack Robustness. | Divyam Madaan, Jinwoo Shin, Sung Ju Hwang |
| 2021 | ICML | State Entropy Maximization with Random Encoders for Efficient Exploration. | Younggyo Seo, Lili Chen, Jinwoo Shin, Honglak Lee, Pieter Abbeel, Kimin Lee |
| 2021 | IJCAI | RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. | Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin |
| 2021 | NSDI | Elastic Resource Sharing for Distributed Deep Learning. | Changho Hwang, Taehyun Kim, Sunghyun Kim, Jinwoo Shin, KyoungSoo Park |
| 2020 | ACCV | DiscFace: Minimum Discrepancy Learning for Deep Face Recognition. | Insoo Kim, Seungju Han, Seong-Jin Park, Ji-Won Baek, Jinwoo Shin, Jae-Joon Han, Changkyu Choi |
| 2020 | CVPR | M2m: Imbalanced Classification via Major-to-Minor Translation. | Jaehyung Kim, Jongheon Jeong, Jinwoo Shin |
| 2020 | CVPR | Regularizing Class-Wise Predictions via Self-Knowledge Distillation. | Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin |
| 2020 | ICLR | Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning. | Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee |
| 2020 | ICLR | Lookahead: A Far-sighted Alternative of Magnitude-based Pruning. | Sejun Park, Jaeho Lee, Sangwoo Mo, Jinwoo Shin |
| 2020 | ICML | Learning What to Defer for Maximum Independent Sets. | Sungsoo Ahn, Younggyo Seo, Jinwoo Shin |
| 2020 | ICML | Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix. | Insu Han, Haim Avron, Jinwoo Shin |
| 2020 | ICML | Self-supervised Label Augmentation via Input Transformations. | Hankook Lee, Sung Ju Hwang, Jinwoo Shin |
| 2020 | ICML | Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning. | Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin |
| 2020 | ICML | Adversarial Neural Pruning with Latent Vulnerability Suppression. | Divyam Madaan, Jinwoo Shin, Sung Ju Hwang |
| 2019 | AISTATS | Iterative Bayesian Learning for Crowdsourced Regression. | Jungseul Ok, Sewoong Oh, Yunhun Jang, Jinwoo Shin, Yung Yi |
| 2019 | CVPR | Incremental Learning with Unlabeled Data in the Wild. | Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee |
| 2019 | ICCV | Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild. | Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee |
| 2019 | ICINCO | A Study on the Activation of Femoral Prostheses: Focused on the Development of a Decision Tree based Gait Phase Identification Algorithm. | Sun-Jong Na, Jinwoo Shin, Su-Hong Eom, Eung-Hyuk Lee |
| 2019 | ICLR | InstaGAN: Instance-aware Image-to-Image Translation. | Sangwoo Mo, Minsu Cho, Jinwoo Shin |
| 2019 | ICML | Learning What and Where to Transfer. | Yunhun Jang, Hankook Lee, Sung Ju Hwang, Jinwoo Shin |
| 2019 | ICML | Training CNNs with Selective Allocation of Channels. | Jongheon Jeong, Jinwoo Shin |
| 2019 | ICML | Robust Inference via Generative Classifiers for Handling Noisy Labels. | Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin |
| 2019 | ICML | Spectral Approximate Inference. | Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin |
| 2019 | Mobisys | Towards Condition-Independent Deep Mobile Sensing. | Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee |
| 2019 | SP | Bitcoin vs. Bitcoin Cash: Coexistence or Downfall of Bitcoin Cash? | Yujin Kwon, Hyoungshick Kim, Jinwoo Shin, Yongdae Kim |
| 2019 | SENSYS | MetaSense: few-shot adaptation to untrained conditions in deep mobile sensing. | Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee |
| 2018 | AISTATS | Gauged Mini-Bucket Elimination for Approximate Inference. | Sungsoo Ahn, Michael Chertkov, Jinwoo Shin, Adrian Weller |
| 2018 | CVPR | Hierarchical Novelty Detection for Visual Object Recognition. | Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee |
| 2018 | ICLR | Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples. | Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin |
| 2018 | ICML | Bucket Renormalization for Approximate Inference. | Sungsoo Ahn, Michael Chertkov, Adrian Weller, Jinwoo Shin |
| 2018 | OSDI | Neural Adaptive Content-aware Internet Video Delivery. | Hyunho Yeo, Youngmok Jung, Jaehong Kim, Jinwoo Shin, Dongsu Han |
| 2018 | SIGMETRICS | Multi-armed Bandit with Additional Observations. | Donggyu Yun, Sumyeong Ahn, Alexandre Proutire, Jinwoo Shin, Yung Yi |
| 2017 | AISTATS | Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models. | Sejun Park, Yunhun Jang, Andreas Galanis, Jinwoo Shin, Daniel Stefankovic, Eric Vigoda |
| 2017 | ICML | Faster Greedy MAP Inference for Determinantal Point Processes. | Insu Han, Prabhanjan Kambadur, KyoungSoo Park, Jinwoo Shin |
| 2017 | ICML | Confident Multiple Choice Learning. | Kimin Lee, Changho Hwang, KyoungSoo Park, Jinwoo Shin |
| 2017 | INFOCOM | Rumor source detection under querying with untruthful answers. | Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi |
| 2017 | INFOCOM | Incentivizing strategic users for social diffusion: Quantity or quality? | Jungseul Ok, Jinwoo Shin, Yung Yi |
| 2017 | ISIT | Adiabatic Persistent Contrastive Divergence learning. | Hyeryung Jang, Hyungwon Choi, Yung Yi, Jinwoo Shin |
| 2016 | ICML | Optimality of Belief Propagation for Crowdsourced Classification. | Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi |
| 2016 | ICNP | Estimating the rumor source with anti-rumor in social networks. | Jaeyoung Choi, Sangwoo Moon, Jinwoo Shin, Yung Yi |
| 2016 | INFOCOM | Just-in-time WLANs: On-demand interference-managed WLAN infrastructures. | Kimin Lee, Yeonkeun Kim, Seokhyun Kim, Jinwoo Shin, Seungwon Shin, Song Chong |
| 2016 | MOBIHOC | Distributed coordination maximization over networks: a stochastic approximation approach. | Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi |
| 2015 | ICML | Large-scale log-determinant computation through stochastic Chebyshev expansions. | Insu Han, Dmitry Malioutov, Jinwoo Shin |
| 2015 | INFOCOM | On the progressive spread over strategic diffusion: Asymptotic and computation. | Jungseul Ok, Jinwoo Shin, Yung Yi |
| 2015 | UAI | Max-Product Belief Propagation for Linear Programming: Applications to Combinatorial Optimization. | Sejun Park, Jinwoo Shin |
| 2014 | CISS | Influence maximization over strategic diffusion in social networks. | Jungseul Ok, Youngmi Jin, Jaeyoung Choi, Jinwoo Shin, Yung Yi |
| 2014 | INFOCOM | Distributed learning for utility maximization over CSMA-based wireless multihop networks. | Hyeryung Jang, Se-Young Yun, Jinwoo Shin, Yung Yi |
| 2014 | INFOCOM | Provable per-link delay-optimal CSMA for general wireless network topology. | Dongmyung Lee, Donggyu Yun, Jinwoo Shin, Yung Yi, Se-Young Yun |
| 2014 | SIGMETRICS | On maximizing diffusion speed in social networks: impact of random seeding and clustering. | Jungseul Ok, Youngmi Jin, Jinwoo Shin, Yung Yi |
| 2014 | SIGMETRICS | Scheduling using interactive oracles: connection between iterative optimization and low-complexity scheduling. | Jinwoo Shin, Tonghoon Suk |
| 2013 | INFOCOM | On the impact of global information on diffusion of innovations over social networks. | Youngmi Jin, Jungseul Ok, Yung Yi, Jinwoo Shin |
| 2013 | INFOCOM | On the impact of global information on diffusion of innovations over social networks. | Youngmi Jin, Jungseul Ok, Yung Yi, Jinwoo Shin |
| 2013 | INFOCOM | Hybrid client-server and peer-to-peer caching systems with selfish peers. | Youngmi Jin, Yung Yi, George Kesidis, Fatih Kocak, Jinwoo Shin |
| 2013 | ISIT | Belief Propagation for Linear Programming. | Andrew E. Gelfand, Jinwoo Shin, Michael Chertkov |
| 2013 | ISIT | CSMA using the Bethe approximation for utility maximization. | Se-Young Yun, Jinwoo Shin, Yung Yi |
| 2013 | MOBIHOC | CSMA over time-varying channels: optimality, uniqueness and limited backoff rate. | Se-Young Yun, Jinwoo Shin, Yung Yi |
| 2011 | FOCS | Improved Mixing Condition on the Grid for Counting and Sampling Independent Sets. | Ricardo Restrepo, Jinwoo Shin, Prasad Tetali, Eric Vigoda, Linji Yang |
| 2011 | FOCS | Medium Access Using Queues. | Devavrat Shah, Jinwoo Shin, Prasad Tetali |
| 2010 | SIGMETRICS | Dynamics in congestion games. | Devavrat Shah, Jinwoo Shin |
| 2010 | SIGMETRICS | Delay optimal queue-based CSMA. | Devavrat Shah, Jinwoo Shin |
| 2009 | SIGMETRICS | Network adiabatic theorem: an efficient randomized protocol for contention resolution. | Shreevatsa Rajagopalan, Devavrat Shah, Jinwoo Shin |