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Publication search results
found 132 matches
- 2024
- Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin:
Representative and Back-In-Time Sampling from Real-world Hypergraphs. ACM Trans. Knowl. Discov. Data 18(6): 156:1-156:48 (2024) - Tae Soo Kim, Yoonjoo Lee, Jamin Shin, Young-Ho Kim, Juho Kim:
EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria. CHI 2024: 306:1-306:21 - Hyun-Wook Yoon, Jin-Seob Kim, Ryuichi Yamamoto, Ryo Terashima, Chan-Ho Song, Jae-Min Kim, Eunwoo Song:
Enhancing Multilingual TTS with Voice Conversion Based Data Augmentation and Posterior Embedding. ICASSP 2024: 12186-12190 - Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin:
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs. ICLR 2024 - Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin:
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective. ICML 2024 - Jinhyung Lee, Kyungjun Cho, Chang Kwon Lee, Yeonho Lee, Jae-Hyung Park, Su-Hyun Oh, Yucheon Ju, Chunseok Jeong, Ho Sung Cho, Jaeseung Lee, Tae-Sik Yun, Jin Hee Cho, Sangmuk Oh, Junil Moon, Young-Jun Park, Hong-Seok Choi, In-Keun Kim, Seung Min Yang, Sun-Yeol Kim, Jaemin Jang, Jinwook Kim, Seong-Hee Lee, Younghyun Jeon, Juhyung Park, Tae-Kyun Kim, Dongyoon Ka, Sanghoon Oh, Jinse Kim, Junyeol Jeon, Seonhong Kim, Kyeong Tae Kim, Taeho Kim, Hyeonjin Yang, Dongju Yang, Minseop Lee, Heewoong Song, Dongwook Jang, Junghyun Shin, Hyunsik Kim, Chang-Ki Baek, Hajun Jeong, Jongchan Yoon, Seung-Kyun Lim, Kyo Yun Lee, Young Jun Koo, Myeong-Jae Park, Joohwan Cho, Jonghwan Kim:
13.4 A 48GB 16-High 1280GB/s HBM3E DRAM with All-Around Power TSV and a 6-Phase RDQS Scheme for TSV Area Optimization. ISSCC 2024: 238-240 - Meng-Chieh Lee, Shubhranshu Shekhar, Jaemin Yoo, Christos Faloutsos:
NETEFFECT: Discovery and Exploitation of Generalized Network Effects. PAKDD (1) 2024: 299-312 - Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin:
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective. CoRR abs/2402.04621 (2024) - Jialu Li, Jaemin Cho, Yi-Lin Sung, Jaehong Yoon, Mohit Bansal:
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data. CoRR abs/2403.06952 (2024) - Abhay Zala, Jaemin Cho, Han Lin, Jaehong Yoon, Mohit Bansal:
EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents. CoRR abs/2403.12014 (2024) - Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin:
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs. CoRR abs/2404.00638 (2024) - Boje Deforce, Meng-Chieh Lee, Bart Baesens, Estefanía Serral Asensio, Jaemin Yoo, Leman Akoglu:
End-To-End Self-tuning Self-supervised Time Series Anomaly Detection. CoRR abs/2404.02865 (2024) - Seungone Kim, Juyoung Suk, Ji Yong Cho, Shayne Longpre, Chaeeun Kim, Dongkeun Yoon, Guijin Son, Yejin Choi, Sheikh Shafayat, Jinheon Baek, Sue Hyun Park, Hyeonbin Hwang, Jinkyung Jo, Hyowon Cho, Haebin Shin, Seongyun Lee, Hanseok Oh, Noah Lee, Namgyu Ho, Se June Joo, Miyoung Ko, Yoonjoo Lee, Hyungjoo Chae, Jamin Shin, Joel Jang, Seonghyeon Ye, Bill Yuchen Lin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo:
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models. CoRR abs/2406.05761 (2024) - 2023
- Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin:
Reciprocity in directed hypergraphs: measures, findings, and generators. Data Min. Knowl. Discov. 37(6): 2330-2388 (2023) - Yuna Yoo, Jaemin Eom, Minjo Park, Kyu-Jin Cho:
Compliant Suction Gripper With Seamless Deployment and Retraction for Robust Picking Against Depth and Tilt Errors. IEEE Robotics Autom. Lett. 8(3): 1311-1318 (2023) - Jaemin Yoo, Tiancheng Zhao, Leman Akoglu:
Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success. Trans. Mach. Learn. Res. 2023 (2023) - Leman Akoglu, Jaemin Yoo:
Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities. IEEE Big Data 2023: 1047-1051 - Sungdong Kim, Sanghwan Bae, Jamin Shin, Soyoung Kang, Donghyun Kwak, Kang Min Yoo, Minjoon Seo:
Aligning Large Language Models through Synthetic Feedback. EMNLP 2023: 13677-13700 - Jaemin Shin, Hyungjun Yoon, Seungjoo Lee, Sungjoon Park, Yunxin Liu, Jinho D. Choi, Sung-Ju Lee:
FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning. EMNLP 2023: 11971-11988 - Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin:
Towards Deep Attention in Graph Neural Networks: Problems and Remedies. ICML 2023: 18774-18795 - Mahnsuk Yoon, Gilhwan Lim, Jaemin Lee, Hyunchul Choi, Hyunjoo Lee, Kyucheol Cho:
Fire evacuation situation recognition and evacuation route search scheme of 5G-based mobile system. ICTC 2023: 1221-1223 - Hoyeon Lee, Hyun-Wook Yoon, Jong-Hwan Kim, Jae-Min Kim:
Cross-Lingual Transfer Learning for Phrase Break Prediction with Multilingual Language Model. INTERSPEECH 2023: 611-615 - Jaemin Yoon, Joonmo Ahn, Changsu Ha, Rakjoon Chung, Dongwoo Park, Heungwoo Han, Sungchul Kang:
RGBD Fusion Grasp Network with Large-Scale Tableware Grasp Dataset. IROS 2023: 2947-2954 - Daehyun Kwon, Heon Su Jeong, Jaemin Choi, Wijong Kim, Jae Woong Kim, Junsub Yoon, Jungmin Choi, Sanguk Lee, Hyunsub Norbert Rie, Jin-Il Lee, Jongbum Lee, Taeseong Jang, JunHyung Kim, Sanghee Kang, Jung-Bum Shin, Yanggyoon Loh, Chang-Yong Lee, Junmyung Woo, Hye-Seung Yu, Changhyun Bae, Reum Oh, Young-Soo Sohn, Changsik Yoo, Jooyoung Lee:
A 1.1V 6.4Gb/s/pin 24-Gb DDR5 SDRAM with a Highly-Accurate Duty Corrector and NBTI-Tolerant DLL. ISSCC 2023: 412-413 - Minyoung Choe, Sunwoo Kim, Jaemin Yoo, Kijung Shin:
Classification of Edge-dependent Labels of Nodes in Hypergraphs. KDD 2023: 298-309 - Sunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, Kijung Shin:
How Transitive Are Real-World Group Interactions? - Measurement and Reproduction. KDD 2023: 1132-1143 - Geon Lee, Jaemin Yoo, Kijung Shin:
Mining of Real-world Hypergraphs: Patterns, Tools, and Generators. KDD 2023: 5811-5812 - Jaemin Yoo, Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos:
Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining. KDD 2023: 3128-3139 - Jaemin Yoo, Yue Zhao, Lingxiao Zhao, Leman Akoglu:
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection. ECML/PKDD (1) 2023: 254-269 - Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658
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