Kangwook Lee
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
52
Venues
14
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
52 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | TABED: Test-Time Adaptive Ensemble Drafting for Robust Speculative Decoding in LVLMs. | Minjae Lee, Wonjun Kang, Byeongkeun Ahn, Christian Classen, Kevin Galim, Seunghyuk Oh, Minghao Yan, Hyung Il Koo, Kangwook Lee |
| 2025 | ACL | Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMs. | Anshumann, Mohd Abbas Zaidi, Akhil Kedia, Jinwoo Ahn, Taehwak Kwon, Kangwook Lee, Haejun Lee, Joohyung Lee |
| 2025 | ICCAD | CTDM: Resource-Efficient FPGA-Accelerated Simulation of Large-Scale NPU Designs. | Hyunje Jo, Han-Sok Suh, Hyun-Seok Heo, Jinseok Kim, Hyunsung Kim, Boeui Hong, Jungju Oh, Sunghyun Park, Jinwook Oh, Sunghwan Jo, Kangwook Lee, Jae-Sun Seo |
| 2025 | ICLR | Looped Transformers for Length Generalization. | Ying Fan, Yilun Du, Kannan Ramchandran, Kangwook Lee |
| 2025 | ICLR | Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance. | Dongmin Park, Sebin Kim, Taehong Moon, Minkyu Kim, Kangwook Lee, Jaewoong Cho |
| 2025 | ICLR | From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data. | Zheyang Xiong, Vasilis Papageorgiou, Kangwook Lee, Dimitris Papailiopoulos |
| 2025 | ICML | VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data. | Thomas Zeng, Shuibai Zhang, Shutong Wu, Christian Classen, Daewon Chae, Ethan Ewer, Minjae Lee, Heeju Kim, Wonjun Kang, Jackson Kunde, Ying Fan, Jungtaek Kim, Hyung Il Koo, Kannan Ramchandran, Dimitris Papailiopoulos, Kangwook Lee |
| 2025 | ICML | Parameter-Efficient Fine-Tuning of State Space Models. | Kevin Galim, Wonjun Kang, Yuchen Zeng, Hyung Il Koo, Kangwook Lee |
| 2025 | ICML | Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges. | Nayoung Lee, Ziyang Cai, Avi Schwarzschild, Kangwook Lee, Dimitris Papailiopoulos |
| 2025 | ICML | Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition. | Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou, Zack Sifakis, Angeliki Giannou, Ziqian Lin, Liu Yang, Saurabh Agarwal, Grigorios Chrysos, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos |
| 2024 | ICLR | Image Clustering Conditioned on Text Criteria. | Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee |
| 2024 | ICLR | Teaching Arithmetic to Small Transformers. | Nayoung Lee, Kartik Sreenivasan, Jason D. Lee, Kangwook Lee, Dimitris Papailiopoulos |
| 2024 | ICLR | Looped Transformers are Better at Learning Learning Algorithms. | Liu Yang, Kangwook Lee, Robert D. Nowak, Dimitris Papailiopoulos |
| 2024 | ICLR | The Expressive Power of Low-Rank Adaptation. | Yuchen Zeng, Kangwook Lee |
| 2024 | ICML | Dual Operating Modes of In-Context Learning. | Ziqian Lin, Kangwook Lee |
| 2024 | ICML | Can Mamba Learn How To Learn? A Comparative Study on In-Context Learning Tasks. | Jongho Park, Jaeseung Park, Zheyang Xiong, Nayoung Lee, Jaewoong Cho, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos |
| 2024 | UAI | Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks. | Jy-yong Sohn, Dohyun Kwon, Seoyeon An, Kangwook Lee |
| 2023 | AAAI | Intuitive Access to Smartphone Settings Using Relevance Model Trained by Contrastive Learning. | Joonyoung Kim, Kangwook Lee, Haebin Shin, Hurnjoo Lee, Sechun Kang, Byunguk Choi, Dong Shin, Joohyung Lee |
| 2023 | ACL | Prompted LLMs as Chatbot Modules for Long Open-domain Conversation. | Gibbeum Lee, Volker Hartmann, Jongho Park, Dimitris Papailiopoulos, Kangwook Lee |
| 2023 | ICLR | Equal Improvability: A New Fairness Notion Considering the Long-term Impact. | Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee |
| 2023 | ICML | Optimizing DDPM Sampling with Shortcut Fine-Tuning. | Ying Fan, Kangwook Lee |
| 2023 | ICML | Looped Transformers as Programmable Computers. | Angeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris Papailiopoulos |
| 2023 | ICML | Improving Fair Training under Correlation Shifts. | Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh |
| 2023 | ISIT | Federated Learning with Local Fairness Constraints. | Yuchen Zeng, Hongxu Chen, Kangwook Lee |
| 2022 | EMNLP | Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. | Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee |
| 2022 | ICLR | Permutation-Based SGD: Is Random Optimal? | Shashank Rajput, Kangwook Lee, Dimitris S. Papailiopoulos |
| 2022 | ICML | GenLabel: Mixup Relabeling using Generative Models. | Jy-yong Sohn, Liang Shang, Hongxu Chen, Jaekyun Moon, Dimitris S. Papailiopoulos, Kangwook Lee |
| 2022 | ISIT | Breaking Fair Binary Classification with Optimal Flipping Attacks. | Changhun Jo, Jy-yong Sohn, Kangwook Lee |
| 2022 | NAACL | Learning to Embed Multi-Modal Contexts for Situated Conversational Agents. | Haeju Lee, Oh Joon Kwon, Yunseon Choi, Minho Park, Ran Han, Yoonhyung Kim, Jinhyeon Kim, Youngjune Lee, Haebin Shin, Kangwook Lee, Kee-Eung Kim |
| 2021 | ICLR | FairBatch: Batch Selection for Model Fairness. | Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh |
| 2021 | ICML | Coded-InvNet for Resilient Prediction Serving Systems. | Tuan Dinh, Kangwook Lee |
| 2021 | ICML | Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information. | Changhun Jo, Kangwook Lee |
| 2020 | EMNLP | SLM: Learning a Discourse Language Representation with Sentence Unshuffling. | Haejun Lee, Drew A. Hudson, Kangwook Lee, Christopher D. Manning |
| 2020 | ICML | FR-Train: A Mutual Information-Based Approach to Fair and Robust Training. | Yuji Roh, Kangwook Lee, Steven Whang, Changho Suh |
| 2019 | AAAI | Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator. | Hoon Kim, Kangwook Lee, Gyeongjo Hwang, Changho Suh |
| 2019 | ISIT | Synthesizing Differentially Private Datasets using Random Mixing. | Kangwook Lee, Hoon Kim, Kyungmin Lee, Changho Suh, Kannan Ramchandran |
| 2018 | ICLR | Simulated+Unsupervised Learning With Adaptive Data Generation and Bidirectional Mappings. | Kangwook Lee, Hoon Kim, Changho Suh |
| 2018 | ICLR | SGD on Random Mixtures: Private Machine Learning under Data Breach Threats. | Kangwook Lee, Kyungmin Lee, Hoon Kim, Changho Suh, Kannan Ramchandran |
| 2018 | ISIT | Straggler-Proofing Massive-Scale Distributed Matrix Multiplication with D-Dimensional Product Codes. | Tavor Baharav, Kangwook Lee, Orhan Ocal, Kannan Ramchandran |
| 2018 | ISIT | Hierarchical Coding for Distributed Computing. | Hyegyeong Park, Kangwook Lee, Jy-yong Sohn, Changho Suh, Jaekyun Moon |
| 2017 | ISIT | Information-theoretic limits of subspace clustering. | Kwangjun Ahn, Kangwook Lee, Changho Suh |
| 2017 | ISIT | Coded computation for multicore setups. | Kangwook Lee, Ramtin Pedarsani, Dimitris S. Papailiopoulos, Kannan Ramchandran |
| 2017 | ISIT | High-dimensional coded matrix multiplication. | Kangwook Lee, Changho Suh, Kannan Ramchandran |
| 2016 | ISIT | Speeding up distributed machine learning using codes. | Kangwook Lee, Maximilian Lam, Ramtin Pedarsani, Dimitris S. Papailiopoulos, Kannan Ramchandran |
| 2016 | ISIT | SAFFRON: A fast, efficient, and robust framework for group testing based on sparse-graph codes. | Kangwook Lee, Ramtin Pedarsani, Kannan Ramchandran |
| 2015 | ISIT | Capacity-approaching PhaseCode for low-complexity compressive phase retrieval. | Ramtin Pedarsani, Kangwook Lee, Kannan Ramchandran |
| 2015 | ISIT | Fast and robust compressive phase retrieval with sparse-graph codes. | Dong Yin, Kangwook Lee, Ramtin Pedarsani, Kannan Ramchandran |
| 2014 | ISIT | The MDS queue: Analysing the latency performance of erasure codes. | Nihar B. Shah, Kangwook Lee, Kannan Ramchandran |
| 2013 | CHI | Measuring touch bias of one thumb posture on direct touch-based mobile devices. | Kangwook Lee, Sangtae Kim, Sung-Hyon Myaeng |
| 2013 | MASCOTS | A VoD System for Massively Scaled, Heterogeneous Environments: Design and Implementation. | Kangwook Lee, Lisa Yan, Abhay Parekh, Kannan Ramchandran |
| 2011 | ACSSC | Codes for a distributed caching based Video-on-Demand system. | Sameer Pawar, Salim Y. El Rouayheb, Hao Zhang, Kangwook Lee, Kannan Ramchandran |
| 2011 | INFOCOM | Experimental evaluation of optimal CSMA. | Bruno Nardelli, Jinsung Lee, Kangwook Lee, Yung Yi, Song Chong, Edward W. Knightly, Mung Chiang |