2025

[PACT] SPipe: Hybrid GPU and CPU Pipeline for Training LLMs under Memory Pressure
Junyeol Ryu, Yujin Jeong, Daeyoung Park, Jinpyo Kim, Heehoon Kim, and Jaejin Lee Proceedings of the 34th ACM/IEEE/IFIP International Conference on Parallel Architectures and Compilation Techniques, Irvine, California, USA, November, 2025
[ICCV] UDC-VIT: A Real-World Video Dataset for Under-Display Cameras
Kyusu Ahn, JiSoo Kim, Sangik Lee, HyunGyu Lee, Byeonghyun Ko, Chanwoo Park, and Jaejin Lee Proceedings of the 21st IEEE/CVF International Conference on Computer Vision, Honolulu, Hawai'i, October, 2025 🏅Spotlight Paper Link
[ISMIR] Joint Object Detection and Sound Source Separation
Sunyoo Kim, Yunjeong Choi, Doyeon Lee, Seoyoung Lee, Eunyi Lyou, Seungju Kim, Junhyug Noh, and Joonseok Lee Proceedings of the 26th International Society for Music Information Retrieval Conference, Daejeon, South Korea, September, 2025
[ACL] BridG MT: Enhancing LLMs' Machine Translation Capabilities with Sentence Bridging and Gradual MT
Seung-Woo Choi, Gahyun Yoo, and Jay-Yoon Lee Findings of the 63rd annual meeting of the Association for Computational Linguistics, Vienna, Austria, July, 2025 DOI: 10.48550/arXiv.2410.11693
[ACL] Introducing Verification Task of Set Consistency with Set-Consistency Energy Networks
Mooho Song, Hyeryung Son, and Jay-Yoon Lee Proceedings of the 63rd annual meeting of the Association for Computational Linguistics, Vienna, Austria, July, 2025 DOI: 10.48550/arXiv.2503.10695
[HPDC] HYPERF: End-to-End Autotuning Framework for High-Performance Computing
Juseong Park, Yongwon Shin, Junghyun Lee, Junseo Lee, Juyeon Kim, Oh-Kyoung Kwon, and Hyojin Sung Proceedings of the 34th ACM International Symposium on High-Performance Parallel and Distributed Computing, Notre Dame, IN, USA, July, 2025
[ICML] Combinatorial Reinforcement Learning with Preference Feedback
Joongkyu Lee and Min-hwan Oh Proceedings of the 42nd International Conference on Machine Learning, Vancouver, BC, Canada, July, 2025 DOI: 10.48550/arXiv.2502.10158
[ICML] Improved Online Confidence Bounds for Multinomial Logistic Bandits
Joongkyu Lee and Min-hwan Oh Proceedings of the 42nd International Conference on Machine Learning, Vancouver, BC, Canada, July, 2025 DOI: 10.48550/arXiv.2502.10020
[ICML] Linear Bandits with Partially Observable Features
Wonyoung Kim, Sungwoo Park, Garud Iyengar, Assaf Zeevi, and Min-hwan Oh Proceedings of the 42nd International Conference on Machine Learning, Vancouver, BC, Canada, July, 2025 DOI: 10.48550/arXiv.2502.06142
[ICML] Optimal and Practical Batched Linear Bandit Algorithm
Sanghoon Yu and Min-hwan Oh Proceedings of the 42nd International Conference on Machine Learning, Vancouver, BC, Canada, July, 2025 Link
[ICML] Symmetry-Aware GFlowNets
Hohyun Kim, Seunggeun Lee, and Min-hwan Oh Proceedings of the 42nd International Conference on Machine Learning, Vancouver, BC, Canada, July, 2025 DOI: 10.48550/arXiv.2506.02685
[SIGIR] Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
Chanwoo Kim, Jinkyu Sung, Yebonn Han, and Joonseok Lee Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, Padua, Italy, July, 2025 DOI: 10.48550/arXiv.2505.00552
[COLT] Experimental Design for Semiparametric Bandits
Seok-Jin Kim, Gi-Soo Kim, and Min-hwan Oh Proceedings of the 38th annual conference on Learning theory, Lyon, France, June, 2025 DOI: 10.48550/arXiv.2506.13390
[CVPR] Towards Scalable Human-aligned Benchmark for Text-guided Image Editing
Suho Ryu, Kihyun Kim, Eugene Baek, Dongsoo Shin, and Joonseok Lee Proceedings of the 41st IEEE Conference on Computer Vision and Pattern Recognition, pp. 18292-18301, Nashville, Tennessee, USA, June, 2025 DOI: 10.48550/arXiv.2505.00502
[ESWA] ColonOOD: A Complete Pipeline for Optical Diagnosis of Colorectal Polyps Integrating Out-of-Distribution Detection and Uncertainty Quantification
Sehyun Park, Dongheon Lee, Ji Young Lee, Jaeyoung Chun, Ji Young Chang, Eunsu Baek, Eun Hyo Jin, and Hyung-Sin Kim Expert Systems with Applications, June, 2025 DOI: 10.1016/j.eswa.2025.128756
[ICS] SnuSOLVER: Optimizing Sparse Direct Solvers for Heterogeneous Systems
Chaewon Kim, Jaehwan Lee, Jinpyo Kim, Dohyun Kim, Kyusu Ahn, Hyung Uk Cho, Seungin Baek, and Jaejin Lee Proceedings of the 39th ACM International Conference on Supercomputing, Salt Lake City, USA, June, 2025 DOI: 10.1145/3721145.3734531
[ISCA] ATiM: Autotuning Tensor Programs for Processing-in-DRAM
Yongwon Shin, Dookyung Kang, and Hyojin Sung Proceedings of the 52nd Annual International Symposium on Computer Architecture, pages 899-915, Tokyo, Japan, June, 2025 DOI: 10.1145/3695053.3731096
[PAKDD] Mixture of Conditional Attention for Multimodal Fusion in Sequential Recommendation
Sewon Lee, Kwangeun Yeo, Eungi Kim, Jinri Kim, Chanwoo Kim, Yujin Jeon, Jooyoung Kim, and Joonseok Lee Proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 278–290, Sydney, Australia, June, 2025 DOI: 10.1007/978-981-96-8180-8_22
[PAKDD] ReducedGCN: Learning to Adapt Graph Convolution for Top-N Recommendation
Eungi Kim, Chanwoo Kim, Kwangeun Yeo, Jinri Kim, Yujin Jeon, Sewon Lee, and Joonseok Lee Proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 291–303, Sydney, Australia, June, 2025 DOI: 10.1007/978-981-96-8180-8_23
[SID] Enhancing Face Recognition Accuracy for Under-Display Cameras via Image Restoration
Kyusu Ahn, Chanwoo Park, and Jaejin Lee SID Symposium Digest of Technical Papers, San Jose, USA, June, 2025 🏅Distinguished Paper
[CVPR] PEER pressure: Model-to-Model Regularization for Single Source Domain Generalization
Dong Kyu Cho, Inwoo Hwang, and Sanghack Lee Proceedings of the 41st IEEE Conference on Computer Vision and Pattern Recognition, Nashville, Tennessee, USA, May, 2025 DOI: 10.48550/arXiv.2505.12745
[ESWA] HaluCheck: Explainable and verifiable automation for detecting hallucinations in LLM responses
Sangwoo Heo, Sungwook Son, and Hyunwoo Park Expert Systems with Applications, Vol. 272, 126712, May, 2025 DOI: 10.1016/j.eswa.2025.126712
[JSID] Investigating the Effects of Degradation and Restoration on Face Recognition in Under-Display Cameras
Kyusu Ahn, Chanwoo Park, and Jaejin Lee Journal of the Society for Information Display, May, 2025 DOI: 10.1002/jsid.2090
[ICLR] ADAM Optimization with Adaptive Batch Selection
Gyu Yeol Kim and Min-hwan Oh Proceedings of the 13th International Conference on Learning Representations, Singapore, April, 2025 Link
[ICLR] Adaptive Camera Sensor for Vision Models
Eunsu Baek, Sung-Hwan Han, Taesik Gong, and Hyung-Sin Kim Proceedings of the 13th International Conference on Learning Representations, Singapore, April, 2025 DOI: 10.48550/arXiv.2503.02170
[ICLR] Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning
Hyungkyu Kang and Min-hwan Oh Proceedings of the 13th International Conference on Learning Representations, Singapore, April, 2025 DOI: 10.48550/arXiv.2503.05306
[ICLR] CoMRes: Semi-Supervised Time Series Forecasting Utilizing Consensus Promotion of Multi-Resolution
Yunju Cho and Jay-Yoon Lee Proceedings of the 13th International Conference on Learning Representations, Singapore, April, 2025 Link
[ICLR] Dynamic Assortment Selection and Pricing with Censored Preference Feedback
Jung-hun Kim and Min-hwan Oh Proceedings of the 13th International Conference on Learning Representations, Singapore, April, 2025 DOI: 10.48550/arXiv.2504.02324
[ICLR] Lasso Bandit with Compatibility Condition on Optimal Arm
Harin Lee, Taehyun Hwang, and Min-hwan Oh Proceedings of the 13th International Conference on Learning Representations, Singapore, April, 2025 DOI: 10.48550/arXiv.2406.00823
[ICLR] Minimax Optimal Reinforcement Learning with Quasi-Optimism
Harin Lee and Min-hwan Oh Proceedings of the 13th International Conference on Learning Representations, Singapore, April, 2025 DOI: 10.48550/arXiv.2503.00810
[ASPLOS] ZRAID: Leveraging Zone Random Write Area (ZRWA) for Alleviating Partial Parity Tax in ZNS RAID
Minwook Kim, Seongyeop Jeong, and Jin-Soo Kim Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Vol. 1, pp. 1151-1165, Rotterdam, Netherlands, March, 2025 DOI: 10.1145/3669940.3707248
[BMC] De-identifcation of clinical notes with pseudo-labeling using regular expression rules and pre-trained BERT
Jiyong An, Jiyun Kim, Leonard Sunwoo, Hyunyoung Baek, Sooyoung Yoo, and Seunggeun Lee BMC Medical Informatics and Decision Making, February, 2025 DOI: 10.1186/s12911-025-02913-z
[WACV] Retaining and Enhancing Pre-trained Knowledge in Vision-Language Models with Prompt Ensembling
Donggeun Kim, Yujin Jo, Myungjoo Lee, and Taesup Kim Proceedings of the 2025 IEEE/CVF Winter Conference on Applications of Computer Vision, pages 5550-5559, Tucson, Arizona, USA, February, 2025 DOI: 10.1109/WACV61041.2025.00542
[arXiv] ANPMI: Assessing the True Comprehension Capabilities of LLMs for Multiple Choice Questions
Gyeongje Cho, Yeonkyoung So, and Jaejin Lee February, 2025 arXiv: 2502.18798
[arXiv] GraphCheck: Multi-Path Fact-Checking with Entity-Relationship Graphs
Hyewon Jeon and Jay-Yoon Lee February, 2025 arXiv: 2502.20785
[arXiv] Mind the Gap: Aligning the Brain with Language Models Requires a Nonlinear and Multimodal Approach
Danny Dongyeop Han, Yunju Cho, Jiwook Cha, and Jay-Yoon Lee February, 2025 arXiv: 2502.12771
[COLING] Improving NMT models by REtrofitting Quality Estimators into Trainable Energy Loss
Gahyun Yoo and Jay-Yoon Lee Proceedings of the 31st International Conference on Computational Linguistics, pages 8184–8196, Abu Dhabi, UAE, January, 2025 Link
[arXiv] FED: Fast and Efficient Dataset Deduplication Framework with GPU Acceleration
Youngjun Son, Chaewon Kim, and Jaejin Lee January, 2025 arXiv: 2501.01046
[arXiv] Integrating Spatial and Frequency Information for Under-Display Camera Image Restoration
Kyusu Ahn, Jinpyo Kim, Chanwoo Park, JiSoo Kim, and Jaejin Lee January, 2025 arXiv: 2501.18517
[npj Digit. Med.] Explainable vision transformer for automatic visual sleep staging on multimodal PSG signals
Hyojin Lee, You Rim Choi, Hyun Kyung Lee, Jaemin Jeong, Joopyo Hong, Hyun-Woo Shin, and Hyung-Sin Kim npj Digital Medicine, Vol. 8, 55, January, 2025 DOI: 10.1038/s41746-024-01378-0

2024

[ECCV] Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation
Seongsu Ha, Chaeyun Kim, Donghwa Kim, Junho Lee, Sangho Lee, and Joonseok Lee Proceedings of the 18th European Conference on Computer Vision, pp. 121–137, Malmö, Sweden, December, 2024 DOI: 10.1007/978-3-031-72890-7_8
[JOK] LLMEE: 시각적 Token Attribution을 통한 대규모 언어 모델의 설명 가능성 및 평가 강화
김윤수, 김민찬, 최진우, 황영석, and 박현우 Journal of KIISE, Vol.51, no.12, pp. 1104-1114, December, 2024 Link
[NeurIPS] Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference
Yonghan Jung, Min Woo Park, and Sanghack Lee Proceedings of the 38th Conference on Neural Information Processing Systems, pages 19813-19838, Vancouver, BC, Canada, December, 2024 Link
[NeurIPS] Improved Regret of Linear Ensemble Sampling
Harin Lee and Min-hwan Oh Proceedings of the 38th Conference on Neural Information Processing Systems, pages 92803-92831, Vancouver, BC, Canada, December, 2024 DOI: 10.48550/arXiv.2411.03932
[NeurIPS] Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit
Seok-Jin Kim and Min-hwan Oh Proceedings of the 38th Conference on Neural Information Processing Systems, pages 77525-77592, Vancouver, BC, Canada, December, 2024 DOI: 10.48550/arXiv.2411.12878
[NeurIPS] Nearly Minimax Optimal Regret for Multinomial Logistic Bandit
Joongkyu Lee and Min-hwan Oh Proceedings of the 38th Conference on Neural Information Processing Systems, Vancouver, BC, Canada, December, 2024 DOI: 10.48550/arXiv.2405.09831
[NeurIPS] Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation
Wooseong Cho, Taehyun Hwang, Joongkyu Lee, and Min-hwan Oh Proceedings of the 38th Conference on Neural Information Processing Systems, pages 76643-76720, Vancouver, BC, Canada, December, 2024 DOI: 10.48550/arXiv.2405.20165
[NeurIPS] Self-Guided Masked Autoencoder
Jeongwoo Shin, Inseo Lee, Junho Lee, and Joonseok Lee Proceedings of the 38th Conference on Neural Information Processing Systems, pages 58929-58954, Vancouver, BC, Canada, December, 2024 Link
[SIGIR-AP] AU-RAG: Agent-based Universal Retrieval Augmented Generation
Jisoo Jang and Wen-Syan Li Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, pages 2-11, Tokyo, Japan, December, 2024 DOI: 10.1145/3673791.3698416
[TACL] Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language Models
Seong-Il Park and Jay-Yoon Lee Transactions of the Association for Computational Linguistics, Vol. 12, pages 1686–1702, December, 2024 DOI: 10.1162/tacl_a_00724
[한국정보과학회] Analysis of Large Language Model Performance According to Korean-English Training Data Ratio in Continual Learning
김진표, 조경제, 박찬우, 박종원, and 이재진 한국정보과학회 2024년 한국소프트웨어종합학술대회 논문집, December, 2024
[BMVC] A Revisit to the Decoder for Camouflaged Object Detection
Seung Woo Ko, Joopyo Hong, Suyoung Kim, Seungjai Bang, Sungzoon Cho, Nojun Kwak, Hyung-Sin Kim, and Joonseok Lee Proceedings of the 35th British Machine Vision Conference, Glasgow, UK, November, 2024 DOI: 10.48550/arXiv.2503.14035
[BMVC] Scalable Frame Sampling for Video Classification: A Semi-Optimal Policy Approach with Reduced Search Space
Junho Lee, Jeongwoo Shin, Seung Woo Ko, Seongsu Ha, and Joonseok Lee Proceedings of the 35th British Machine Vision Conference, Glasgow, UK, November, 2024 DOI: 10.48550/arXiv.2409.05260
[EMNLP] Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval
Jonghyun Song, Cheyon Jin, Wenlong Zhao, and Jay-Yoon Lee Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 22255–22269, Miami, Florida, USA, November, 2024 DOI: 10.18653/v1/2024.emnlp-main.1242
[EMNLP] Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4
Woojin Kim, Sungeun Hahm, and Jaejin Lee Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 21204–21218, Miami, Florida, USA, November, 2024
[EMNLP] Model-based Preference Optimization in Abstractive Summarization without Human Feedback
Jaepill Choi, Kyubyung Chae, Jiwoo Song, Yohan Jo, and Taesup Kim Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 18837-18851, Miami, Florida, USA, November, 2024 DOI: 10.18653/v1/2024.emnlp-main.1048
[EMNLP] RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation
Kiseung Kim and Jay-Yoon Lee Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 22149–22161, Miami, Florida, USA, November, 2024 DOI: 10.18653/v1/2024.emnlp-main.1236
[IEEE Access] Toward Generalized Visualization System for Various CNN Models: Module and Layer View
Yunsu Kim, Junha Chun, Sungwook Son, and Hyunwoo Park IEEE Access, Vol. 12, pages 158311-158321, October, 2024 DOI: 10.1109/ACCESS.2024.3480791
[Sci Rep] Piano performance evaluation dataset with multilevel perceptual features
Jisoo Park, Jongho Kim, Jeong Mi Park, Ahyeon Choi, Wen-Syan Li, Jonghwa Park, and Seung-won Hwang Scientific Reports, Vol. 14, 23002, October, 2024 DOI: 10.1038/s41598-024-73810-0
[UbiComp] MIRROR: Towards Generalizable On-Device Video Virtual Try-On for Mobile Shopping
Dongsig Kang, Eunsu Baek, Sungwook Son, Youngki Lee, Taesik Gong, and Hyung-Sin Kim Proceedings of the 2024 AC​M International Joint Conference on Pervasive and Ubiquitous Computing, Vol. 7, pp 1-27, Melbourne, Australia, October, 2024 DOI: 10.1145/3631420
[한국인공지능학회] A Unified Formulation and Analysis of Learning Algorithms with Output Constraints
Mooho Song and Jay-Yoon Lee 2024 한국인공지능학회 하계학술대회, August, 2024
[한국인공지능학회] Case-Based Reasoning Approach for Solving Financial Question Answering
Yikyung Kim and Jay-Yoon Lee 2024 한국인공지능학회 하계학술대회, August, 2024
[한국인공지능학회] Generalizing Table Reasoning Capability Under Domain Shift
Hanjun Cho, Hanseong Kim, and Jay-Yoon Lee 2024 한국인공지능학회 하계학술대회, August, 2024
[한국인공지능학회] Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language Models
Seong-Il Park and Jay-Yoon Lee 2024 한국인공지능학회 하계학술대회, August, 2024
[ICML] Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
Jaehoon Hahm, Junho Lee, Sunghyun Kim, and Joonseok Lee Proceedings of the 41st International Conference on Machine Learning, pages 17224-17245, Vienna, Austria, July, 2024 DOI: 10.48550/arXiv.2407.11451
[ICML] On Positivity Condition for Causal Inference
Inwoo Hwang, Yesong Choe, Yeahoon Kwon, and Sanghack Lee Proceedings of the 41st International Conference on Machine Learning, pages 20818-20841, Vienna, Austria, July, 2024 Link
[SIGIR] Content-based Graph Reconstruction for Cold-start item recommendation
Jinri Kim, Eungi Kim, Kwangeun Yeo, Yujin Jeon, Chanwoo Kim, Sewon Lee, and Joonseok Lee Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 1263-1273, Washington DC, USA, July, 2024 DOI: 10.1145/3626772.3657801
[UAI] Causal Discovery with Deductive Reasoning: One Less Problem
Jonghwan Kim, Inwoo Hwang, and Sanghack Lee Proceedings of the 2024 Fortieth Conference on Uncertainty in Artificial Intelligence, pages 1999-2017, Barcelona, Spain, July, 2024 Link
[CVPR] Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains
Eunsu Baek, Keondo Park, Ji-yoon Kim, and Hyung-Sin Kim Proceedings of the 40th IEEE Conference on Computer Vision and Pattern Recognition, pages 22294-22303, Seattle, Washington, USA, June, 2024 DOI: 10.1109/CVPR52733.2024.02104
[NAACL] Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information
Kyubyung Chae, Jaepill Choi, Yohan Jo, and Taesup Kim Findings of the Association for Computational Linguistics: NAACL 2024, pages 1809–1820, Mexico City, Mexico, June, 2024 DOI: 10.18653/v1/2024.findings-naacl.117
[arXiv] Locate&Edit: Energy-based Text Editing for Efficient, Flexible, and Faithful Controlled Text Generation
Hye Ryung Son and Jay-Yoon Lee June, 2024 arXiv: 2407.00740
[한국정보과학회] Contrastive Learning Framework for Session-Based Recommendation
손영준 and 이재진 한국정보과학회 2024년 한국컴퓨터종합학술대회 논문집, June, 2024
[한국정보과학회] QAT-Clip: Transformer 기반 언어 모델 양자화를 위한 Fine-tuning 중 이상치 제거
석지헌, 임상수, 최동훈, 조경제, and 이재진 한국정보과학회 2024년 한국컴퓨터종합학술대회 논문집, June, 2024
[한국정보과학회] 사전 훈련 말뭉치에 따른 언어 모델의 성능 및 영향 분석
Yujin Jeong, Jaehwan Lee, Chanwoo Park, Donghun Choi, and Jaejin Lee 한국정보과학회 2024 한국컴퓨터종합학술대회 논문집, pages 996-998, June, 2024 Link
[AISTATS] Towards a Complete Benchmark on Video Moment Localization
Jinyeong Chae, Donghwa Kim, Kwanseok Kim, Doyeon Lee, Sangho Lee, Seongsu Ha, Jonghwan Mun, Wooyoung Kang, Byungseok Roh, and Joonseok Lee Proceedings of the 27th International Conference on Artificial Intelligence and Statistics, pages 4168-4176, Valencia, Spain, May, 2024 Link
[ICLR] Demystifying Linear MDPs and Novel Dynamics Aggregation Framework
Joongkyu Lee and Min-hwan Oh Proceedings of the 12th International Conference on Learning Representations, Vienna, Austria, May, 2024 DOI: 10.48550/arXiv.2410.24089
[ICLR] Dictionary Contrastive Forward Learning via Adaptive Label Embeddings
Suhwan Choi, Myeongho Jeon, Yeonjung Hwang, Jeonglyul Oh, Sungjun Lim, Joonseok Lee, and Myungjoo Kang Proceedings of the 12th International Conference on Learning Representations, Vienna, Austria, May, 2024 Link
[ASPLOS] TCCL: Discovering Better Communication Paths for PCIe GPU Clusters.
Heehoon Kim, Junyeol Ryu, and Jaejin Lee ASPLOS 2024: Proceedings of the 29th International Conference on Architectural Support for Programming Languages and Operating Systems, Vol. 3, pp. 999-1015, San Diego, USA, April, 2024 DOI: 10.1145/3620666.3651362
[PAKDD] Human-driven Active Verification for Efficient and Trustworthy Graph Classification
Tien-Cuong Bui and Wen-Syan Li Proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 105-116, Taipei, Taiwan, April, 2024 DOI: 10.1007/978-981-97-2242-6_9
[AAAI] Learning Uncertainty-Aware Temporally-Extended Actions
Joongkyu Lee, Seung Joon Park, Yunhao Tang, and Min-hwan Oh Proceedings of the 38th AAAI Conference on Artificial Intelligence, pages 13391-13399, Vancouver, Canada, March, 2024 DOI: 10.1609/aaai.v38i12.29241
[AAAI] V2Meow: Meowing to the Visual Beat via Video-to-Music Generation
Kun Su, Judith Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, and Timo Denk Proceedings of the 38th AAAI Conference on Artificial Intelligence, pages 4952-4960, Vancouver, Canada, March, 2024 DOI: 10.1609/aaai.v38i5.28299
[FAST] RFUSE: Modernizing Userspace Filesystem Framework through Scalable Kernel-Userspace Communication
Kyu-Jin Cho, Jaewon Choi, Hyungjoon Kwon, and Jin-Soo Kim Proceedings of the 22nd USENIX Conference on File and Storage Technologies, pages 141-157, Santa Clara, CA, USA, February, 2024 Link
[WACV] Modality-Aware Representation Learning for Zero-shot Sketch-based Image Retrieval
Eunyi Lyou, Doyeon Lee, Jooeun Kim, and Joonseok Lee Proceedings of the 2024 IEEE/CVF Winter Conference on Applications of Computer Vision, pages 5634-5643, Waikoloa, Hawaii, January, 2024 DOI: 10.1109/WACV57701.2024.00555
[WACV] PoseDiff: Pose-conditioned Diffusion for Sparse View Unbounded Scene Synthesis
Seo Young Lee and Joonseok Lee Proceedings of the 2024 IEEE/CVF Winter Conference on Applications of Computer Vision, pages 5005-5015, Waikoloa, Hawaii, January, 2024 DOI: 10.1109/WACV57701.2024.00494

2023

[ICDM] Toward Interpretable Graph Neural Networks via Concept Matching Model
Tien-Cuong Bui and Wen-Syan Li 2023 IEEE International Conference on Data Mining, pages 950-955, Gyeongju, Republic of Korea, December, 2023 DOI: 10.1109/ICDM58522.2023.00106
[NeurIPS] Cascading Contextual Assortment Bandits
Hyunjun Choi, Rajan Udwani, and Min-hwan Oh Proceedings of the 37th Conference on Neural Information Processing Systems, pages 23441-23452, New Orleans, LA, USA, December, 2023 Link
[NeurIPS] Mr. HiSum: A Large-scale Dataset and Benchmark for Video Highlight Detection and Summarization
Jinhwan Sul, Jihoon Han, and Joonseok Lee Proceedings of the 37th Conference on Neural Information Processing Systems, pages 40542-40555, New Orleans, LA, USA, December, 2023 Link
[NeurIPS] UDC-SIT: A Real-World Dataset for Under-Display Cameras
Kyusu Ahn, Byeonghyun Ko, HyunGyu Lee, Chanwoo Park, and Jaejin Lee Proceedings of the 37th Conference on Neural Information Processing Systems, pages 67721-67740, New Orleans, LA, USA, December, 2023
[ICCV] A Unified Framework for Robustness on Diverse Sampling Errors
Myeongho Jeon, Myungjoo Kang, and Joonseok Lee Proceedings of the 19th IEEE/CVF International Conference on Computer Vision, pages 1464-1472, Paris, France, October, 2023 DOI: 10.1109/ICCV51070.2023.00141
[ICCV] Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the Wild
Sungchan Park, Eunyi Lyou, Inhoe Lee, and Joonseok Lee Proceedings of the 19th IEEE/CVF International Conference on Computer Vision, pages 14726-14736, Paris, France, October, 2023 DOI: 10.1109/ICCV51070.2023.01357
[한국정보과학회] CSDVirt: 연산 스토리지 에뮬레이터
강일권, 심재훈, and 김진수 한국정보과학회 2023 한국컴퓨터종합학술대회 논문집, pages 1448-1450, June, 2023 Link