Soo-Hyun Choi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
10
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | ReasonerRank: Redefining Language Model Evaluation with Ground-Truth-Free Ranking Frameworks. | Jiamu Zhang, Jiayi Yuan, Andrew Wen, Hoang Anh Duy Le, Yu-Neng Chuang, Soo-Hyun Choi, Rui Chen, Xia Hu |
| 2025 | CVPR | Flexible Group Count Enables Hassle-Free Structured Pruning. | 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 | EMNLP | LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. | 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 | IJCNLP | Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration. | Songyuan Sui, Hongyi Liu, Serena Liu, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu |
| 2024 | ICDM | Addressing Delayed Feedback in Conversion Rate Prediction: A Domain Adaptation Approach. | Leisheng Yu, Yanxiao Cai, Lucas Chen, Minxing Zhang, Wei-Yen Day, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu |
| 2023 | ICDM | Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation. | Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu |
| 2023 | WSDM | S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking. | Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu |
| 2023 | WSDM | Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. | Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu |
| 2023 | SDM | Adaptive Label Smoothing To Regularize Large-Scale Graph Training. | Kaixiong Zhou, Soo-Hyun Choi, Zirui Liu, Ninghao Liu, Fan Yang, Rui Chen, Li Li, Xia Hu |
| 2022 | ICLR | An Information Fusion Approach to Learning with Instance-Dependent Label Noise. | Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu |
| 2022 | IJCAI | Table2Graph: Transforming Tabular Data to Unified Weighted Graph. | Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu |
| 2020 | CIKM | Explainable Recommender Systems via Resolving Learning Representations. | Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi |