Contextual Information Provision on Augmented Reality with IoT-Based Semantic Communication. - Heesuk Son; Seungwook Han; Dongman Lee (ISUVR, 2012)

A Place-Aware Stereotypical Trust Supporting Scheme. - Gonzalo Huerta Cánepa; Seungwook Han; Dongman Lee; Byoungoh Kim (TrustCom/ISPA/IUCC, 2013)

SyncGC: A Synchronized Garbage Collection Technique for Reducing Tail Latency in Cassandra. - Seungwook Han; Sungjin Lee 001; Sangwook Shane Hahn; Jihong Kim 001 (APSys, 2018)

3D distributed deep learning framework for prediction of human intelligence from brain MRI. - Seungwook Han; Yan Zhang; Yihui Ren 001; Jonathan Posner; Shinjae Yoo; Jiook Cha (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

not-so-BigGAN: Generating High-Fidelity Images on a Small Compute Budget. - Seungwook Han; Akash Srivastava; Cole L. Hurwitz; Prasanna Sattigeri; David D. Cox (CoRR, 2020)

Equivariant Contrastive Learning. - Rumen Dangovski; Li Jing 001; Charlotte Loh; Seungwook Han; Akash Srivastava; Brian Cheung; Pulkit Agrawal 001; Marin Soljacic (CoRR, 2021)

Gage MPC: Bypassing Residual Function Leakage for Non-Interactive MPC. - Ghada Almashaqbeh; Fabrice Benhamouda; Seungwook Han; Daniel Jaroslawicz; Tal Malkin; Alex Nicita; Tal Rabin; Abhishek Shah; Eran Tromer (Proc. Priv. Enhancing Technol., 2021)

Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations. - Rumen Dangovski; Li Jing 001; Charlotte Loh; Seungwook Han; Akash Srivastava; Brian Cheung; Pulkit Agrawal 001; Marin Soljacic (ICLR, 2022)

On the Importance of Calibration in Semi-supervised Learning. - Charlotte Loh; Rumen Dangovski; Shivchander Sudalairaj; Seungwook Han; Ligong Han; Leonid Karlinsky; Marin Soljacic; Akash Srivastava (CoRR, 2022)

Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries. - Charlotte Loh; Seungwook Han; Shivchander Sudalairaj; Rumen Dangovski; Kai Xu 016; Florian Wenzel; Marin Soljacic; Akash Srivastava (ICML, 2023)

Compositional Foundation Models for Hierarchical Planning. - Anurag Ajay; Seungwook Han; Yilun Du; Shuang Li 013; Abhi Gupta; Tommi S. Jaakkola; Joshua B. Tenenbaum; Leslie Pack Kaelbling; Akash Srivastava; Pulkit Agrawal 001 (NeurIPS, 2023)

Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies. - Ligong Han; Seungwook Han; Shivchander Sudalairaj; Charlotte Loh; Rumen Dangovski; Fei Deng 001; Pulkit Agrawal 001; Dimitris N. Metaxas; Leonid Karlinsky; Tsui-Wei Weng; Akash Srivastava (CoRR, 2023)

Mitigating Confirmation Bias in Semi-supervised Learning via Efficient Bayesian Model Averaging. - Charlotte Loh; Rumen Dangovski; Shivchander Sudalairaj; Seungwook Han; Ligong Han; Leonid Karlinsky; Marin Soljacic; Akash Srivastava (Trans. Mach. Learn. Res., 2023)

Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression. - Akash Srivastava; Seungwook Han; Kai Xu 016; Benjamin Rhodes; Michael U. Gutmann (Trans. Mach. Learn. Res., 2023)

Value Augmented Sampling for Language Model Alignment and Personalization. - Seungwook Han; Idan Shenfeld; Akash Srivastava; Yoon Kim; Pulkit Agrawal 001 (CoRR, 2024)

Emergence of Abstractions: Concept Encoding and Decoding Mechanism for In-Context Learning in Transformers. - Seungwook Han; Jinyeop Song; Jeff Gore; Pulkit Agrawal 001 (CoRR, 2024)

Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs. - Aldo Pareja; Nikhil Shivakumar Nayak; Hao Wang; Krishnateja Killamsetty; Shivchander Sudalairaj; Wenlong Zhao 001; Seungwook Han; Abhishek Bhandwaldar; Guangxuan Xu; Kai Xu 016; Ligong Han; Luke Inglis; et al. (ICLR, 2025)

General Reasoning Requires Learning to Reason from the Get-go. - Seungwook Han; Jyothish Pari; Samuel J. Gershman; Pulkit Agrawal 001 (CoRR, 2025)