Kim, Sunghun
- Deep API Learning
2016/05/27 by Xiaodong Gu, Hongyu Zhang, Gu, Xiaodong +5 · 1 voice · 5 citations
Computer Science · #Software Engineering Research #Software System Performance and Reliability #Web Data Mining and Analysis #cs.CL #cs.LG #cs.NE #cs.SE
- A Survey on Large Language Models for Code Generation
2024/06/01 by J.-H.R. Jiang, Juyong Jiang, Jiang, Juyong +8 · 295 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Software Engineering (cs.SE)
- SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
2023/12/23 by Dahyun Kim, Chanjun Park, Kim, Dahyun +33 · 27 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
- Decoupled Side Information Fusion for Sequential Recommendation
2022/04/23 by Yueqi Xie, Peilin Zhou, Xie, Yueqi +3 · 10 citations
Computer Science · Psychology · #Recommender Systems and Techniques #Advanced Graph Neural Networks #Mental Health via Writing
- NSML: A Machine Learning Platform That Enables You to Focus on Your Models
2017/12/16 by Nako Sung, Sung, Nako, Minkyu Kim +19 · 10 citations
Computer Science · #Data Stream Mining Techniques #Distributed #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Parallel #and Cluster Computing (cs.DC)
- Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems
2023/02/28 by Yueqi Xie, Jingqi Gao, Xie, Yueqi +13 · 7 citations
Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques
- Shortcut-connected Expert Parallelism for Accelerating Mixture-of-Experts
2024/04/07 by Weilin Cai, Cai, Weilin, Juyong Jiang +9 · 10 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Computation and Language (cs.CL) #Distributed #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Parallel #and Cluster Computing (cs.DC)
- Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation
2024/03/17 by Peilin Zhou, You-Liang Huang, Zhou, Peilin +11 · 7 citations
Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques
- Attention Calibration for Transformer-based Sequential Recommendation
2023/08/18 by Peilin Zhou, Qichen Ye, Zhou, Peilin +13 · 6 citations
Computer Science · Medicine · #Recommender Systems and Techniques #Radiomics and Machine Learning in Medical Imaging #Advanced Graph Neural Networks
- Equivariant Contrastive Learning for Sequential Recommendation
2022/11/10 by Peilin Zhou, Zhou, Peilin, Jingqi Gao +10 · 5 citations
Computer Science · Psychology · #Recommender Systems and Techniques #Machine Learning in Healthcare #Mental Health via Writing
- TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems
2023/08/28 by Zhang, Peiyan, Yan, Yuchen, Zhang, Xi +4 · 5 citations
#FOS: Computer and information sciences #H.3.3 #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
- Locating Crashing Faults based on Crash Stack Traces
2014/04/15 by Liang Gong, Gong, Liang, Hongyu Zhang +5 · 2 citations
Computer Science · #Advanced Malware Detection Techniques #FOS: Computer and information sciences #Software Engineering (cs.SE) #Software Reliability and Analysis Research #Software Testing and Debugging Techniques
- A Survey on Incremental Update for Neural Recommender Systems
2023/03/06 by Peiyan Zhang, Sunghun Kim, Zhang, Peiyan +1 · 3 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #H.3.3 #Information Retrieval (cs.IR) #Recommender Systems and Techniques
- DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics
2022/11/20 by Pi, Renjie, Zhang, Weizhong, Xie, Yueqi +4 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs
2024/02/26 by Peiyan Zhang, Chaozhuo Li, Zhang, Peiyan +11 · 3 citations
Computer Science · #FOS: Computer and information sciences #H.3.3 #Information Retrieval (cs.IR) #Social and Information Networks (cs.SI) #Text and Document Classification Technologies
- DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
2018/05/31 by Xiaodong Gu, Kyunghyun Cho, Gu, Xiaodong +5 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
- Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation with Pre-training
2021/12/13 by Juyong Jiang, Jiang, Juyong, Zhang, Peiyan +11 · 1 citation
Computer Science · #Advanced Text Analysis Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR)
- KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
2024/12/08 by Fan Wang, Wang, Fan, Jiang, Juyong +6 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling