| 2025 | BPM | Multi-task Trained Graph Neural Network for Business Process Anomaly Detection with a Limited Number of Labeled Anomalies. | Yongjae Lee, Dohee Kim, Donghwan Kim, Hyerim Bae |
| 2025 | CVPR | DeClotH: Decomposable 3D Cloth and Human Body Reconstruction from a Single Image. | Hyeongjin Nam, Donghwan Kim, Jeongtaek Oh, Kyoung Mu Lee |
| 2025 | ICCV | PARTE: Part-Guided Texturing for 3D Human Reconstruction from a Single Image. | Hyeongjin Nam, Donghwan Kim, Gyeongsik Moon, Kyoung Mu Lee |
| 2024 | CCS | NeuJeans: Private Neural Network Inference with Joint Optimization of Convolution and FHE Bootstrapping. | Jae Hyung Ju, Jaiyoung Park, Jongmin Kim, Minsik Kang, Donghwan Kim, Jung Hee Cheon, Jung Ho Ahn |
| 2024 | ECCV | Dense Hand-Object (HO) GraspNet with Full Grasping Taxonomy and Dynamics. | Woojin Cho, Jihyun Lee, Minjae Yi, Minje Kim, Taeyun Woo, Donghwan Kim, Taewook Ha, Hyokeun Lee, Je-Hwan Ryu, Woontack Woo, Tae-Kyun Kim |
| 2024 | ICLR | Two-timescale Extragradient for Finding Local Minimax Points. | Jiseok Chae, Kyuwon Kim, Donghwan Kim |
| 2024 | ICML | Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity. | Ahmet Alacaoglu, Donghwan Kim, Stephen J. Wright |
| 2024 | ICML | Double-Step Alternating Extragradient with Increasing Timescale Separation for Finding Local Minimax Points: Provable Improvements. | Kyuwon Kim, Donghwan Kim |
| 2023 | AAAI | Hierarchical Text Classification as Sub-hierarchy Sequence Generation. | Sanghun Im, Gibaeg Kim, Heung-Seon Oh, Seongung Jo, Donghwan Kim |
| 2023 | COLT | Open Problem: Is There a First-Order Method that Only Converges to Local Minimax Optima? | Jiseok Chae, Kyuwon Kim, Donghwan Kim |
| 2023 | ISCA | SHARP: A Short-Word Hierarchical Accelerator for Robust and Practical Fully Homomorphic Encryption. | Jongmin Kim, Sangpyo Kim, Jaewan Choi, Jaiyoung Park, Donghwan Kim, Jung Ho Ahn |
| 2020 | ACL | Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs. | Dong Bok Lee, Seanie Lee, Woo Tae Jeong, Donghwan Kim, Sung Ju Hwang |
| 2020 | ICINCO | Analyzing Decision Polygons of DNN-based Classification Methods. | Jongyoung Kim, Seongyoun Woo, Wonjun Lee, Donghwan Kim, Chulhee Lee |
| 2020 | LREC | Effective Crowdsourcing of Multiple Tasks for Comprehensive Knowledge Extraction. | Sangha Nam, Minho Lee, Donghwan Kim, Kijong Han, Kuntae Kim, Sooji Yoon, Eun-Kyung Kim, Key-Sun Choi |
| 2017 | HCI | Emotions in Material Surfaces for Product Design. | Donghwan Kim, Yun Jae Lee, Jiwon Kim, Hyerin Park, Min Hee Shin, Ji Hyun Lim, Choeun Kim, Taezoon Park, Wonil Hwang |
| 2017 | ICASSP | Accelerated dual gradient-based methods for total variation image denoising/deblurring problems. | Donghwan Kim, Jeffrey A. Fessler |
| 2015 | ICIP | An optimized first-order method for image restoration. | Donghwan Kim, Jeffrey A. Fessler |
| 2013 | ICASSP | Ordered subsets with momentum for accelerated X-ray CT image reconstruction. | Donghwan Kim, Sathish Ramani, Jeffrey A. Fessler |
| 2006 | ISNN | Prediction of Radio Frequency Impedance Matching in Plasma Equipment Using Neural Network. | Byungwhan Kim, Donghwan Kim, Seung Soo Han |
| 2006 | PRICAI | Diagnosis Model of Radio Frequency Impedance Matching in Plasma Equipment by Using Neural Network and Wavelets. | Byungwhan Kim, Jae Young Park, Donghwan Kim, Seung Soo Han |
| 2001 | IV | A Study on the Real-Time Toon Rendering for 3D Geometry Model. | Daeuk Kang, Donghwan Kim, Kyunghyun Yoon |