Soo-Hyun Choi - RankMe

28 papers A* 6A 4Journal 12Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration. IJCNLP-AACL (long papers) Songyuan Sui, Hongyi Liu, Serena Liu, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu
2025	J	`jnl`	Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration. CoRR Songyuan Sui, Hongyi Liu, Serena Liu, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu
2025	A*	`conf`	Flexible Group Count Enables Hassle-Free Structured Pruning. CVPR Jiamu Zhang, Shaochen Zhong, Andrew Ye, Zirui Liu, Sebastian Zhao, Kaixiong Zhou, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu, Shuai Xu, Vipin Chaudhary
2025	—	`conf`	LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. EMNLP (Findings) Hongyi Liu, Shaochen Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu
2025	—	`conf`	ReasonerRank: Redefining Language Model Evaluation with Ground-Truth-Free Ranking Frameworks. ACL (Findings) Jiamu Zhang, Jiayi Yuan, Andrew Wen, Hoang Anh Duy Le, Yu-Neng Chuang, Soo-Hyun Choi, Rui Chen, Xia Hu
2024	A*	`conf`	Addressing Delayed Feedback in Conversion Rate Prediction: A Domain Adaptation Approach. ICDM Leisheng Yu, Yanxiao Cai, Lucas Chen, Minxing Zhang, Wei-Yen Day, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2024	J	`jnl`	LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. CoRR Hongyi Liu, Shaochen (Henry) Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu
2024	J	`jnl`	PME: pruning-based multi-size embedding for recommender systems. Frontiers Big Data Zirui Liu, Qingquan Song, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu
2023	A	`conf`	Adaptive Label Smoothing To Regularize Large-Scale Graph Training. SDM Kaixiong Zhou, Soo-Hyun Choi, Zirui Liu, Ninghao Liu, Fan Yang, Rui Chen, Li Li, Xia Hu
2023	J	`jnl`	Adaptive RiskAware Bidding with Budget Constraint in Display Advertising. SIGKDD Explor. Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi
2023	A	`conf`	Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. WSDM Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023	J	`jnl`	DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification. Trans. Mach. Learn. Res. Zirui Liu, Kaixiong Zhou, Zhimeng Jiang, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023	A*	`conf`	Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation. ICDM Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
2023	J	`jnl`	Editable Graph Neural Network for Node Classifications. CoRR Zirui Liu, Zhimeng Jiang, Shaochen Zhong, Kaixiong Zhou, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023	A	`conf`	S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking. WSDM Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
2022	J	`jnl`	Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising. CoRR Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi
2022	A*	`conf`	An Information Fusion Approach to Learning with Instance-Dependent Label Noise. ICLR Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2022	J	`jnl`	Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. CoRR Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2022	J	`jnl`	MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs. CoRR Qiaoyu Tan, Ninghao Liu, Xiao Huang, Rui Chen, Soo-Hyun Choi, Xia Hu
2022	A*	`conf`	Table2Graph: Transforming Tabular Data to Unified Weighted Graph. IJCAI Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021	J	`jnl`	Adaptive Label Smoothing To Regularize Large-Scale Graph Training. CoRR Kaixiong Zhou, Ninghao Liu, Fan Yang, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021	A*	`conf`	Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. NeurIPS Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021	J	`jnl`	Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. CoRR Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2020	A	`conf`	Explainable Recommender Systems via Resolving Learning Representations. CIKM Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi
2020	J	`jnl`	Explainable Recommender Systems via Resolving Learning Representations. CoRR Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi
2019	—	`conf`	A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding. IEEE BigData Xianshan Qu, Li Li, Xi Liu, Rui Chen, Yong Ge, Soo-Hyun Choi
2006	—	`—`	Design and analysis for TCP-friendly window-based congestion control. Soo-Hyun Choi
2001	—	`conf`	Fast Restoration Internetworking in Packet and Optical Networks. DRCN Soo-Hyun Choi, You-Hyeon Jeong