| 2026 | WWW | Hyperbolic Multimodal Generative Representation Learning for Generalized Zero-Shot Multimodal Information Extraction. | Baohang Zhou, Kehui Song, Rize Jin, Yu Zhao, Xuhui Sui, Xinying Qian, Xingyue Guo, Ying Zhang |
| 2025 | ICONIP | Mind Map-guided Meta-prompting for ADHD Intervention with Large Language Models. | Yingqi Wang, Xuguang Qiu, Kehui Song, Rize Jin, Hongbo Zhao |
| 2025 | IJCNN | Rosetta: Enhancing Neural Machine Translation through Multilingual-PLMs and Semantic Constraints. | Pengfei Pi, Rize Jin, Xiaohan Ma, Tae-Sun Chung |
| 2025 | IJCNN | MaCSE: Multi-Agent Ranking Distillation for Contrastive Learning of Sentence Embeddings. | Zekai Zhi, Zhilan Wang, Rize Jin, Kehui Song, Da-Jung Cho, He Wang |
| 2025 | NAACL | Unsupervised Sentence Representation Learning with Syntactically Aligned Negative Samples. | Zhilan Wang, Zekai Zhi, Rize Jin, Kehui Song, He Wang, Da-Jung Cho |
| 2024 | COLING | Multi-Channel Spatio-Temporal Transformer for Sign Language Production. | Xiaohan Ma, Rize Jin, Tae-Sun Chung |
| 2024 | ICANN | Reinforced Multi-teacher Knowledge Distillation for Unsupervised Sentence Representation. | Xintao Wang, Rize Jin, Shibo Qi |
| 2023 | PRICAI | Unsupervised Contrastive Learning of Sentence Embeddings Through Optimized Sample Construction and Knowledge Distillation. | Yan Ding, Rize Jin, Joon-Young Paik, Tae-Sun Chung |
| 2023 | PRICAI | Neural Machine Translation with an Awareness of Semantic Similarity. | Jiaxin Li, Rize Jin, Joon-Young Paik, Tae-Sun Chung |
| 2022 | NAACL | PCEE-BERT: Accelerating BERT Inference via Patient and Confident Early Exiting. | Zhen Zhang, Wei Zhu, Jinfan Zhang, Peng Wang, Rize Jin, Tae-Sun Chung |
| 2020 | APWEB | Deep Semantic Hashing for Large-Scale Image Retrieval. | Yulin Yang, Rize Jin, Caie Xu |
| 2020 | COMPSAC | Managing Massive Amounts of Small Files in All-Flash Storage. | Rize Jin, Joon-Young Paik, Jianming Wang, Yenewondim Biadgie, Yunbo Rao, Tae-Sun Chung |
| 2020 | DASFAA | An Efficient and Metadata-Aware Big Data Storage Architecture. | Rize Jin, Joon-Young Paik, Yenewondim Biadgie |
| 2019 | COMPSAC | Toward Machine Learning Based Analyses on Compressed Firmware. | Seoksu Lee, Joon-Young Paik, Rize Jin, Eun-Sun Cho |
| 2019 | ISPA | Buffer Management for Identifying Crypto-Ransomware Attack in Environment with No Semantic Information. | Joon-Young Paik, Joong-Hyun Choi, Rize Jin, Jianming Wang, Eun-Sun Cho |
| 2018 | CCS | A Storage-level Detection Mechanism against Crypto-Ransomware. | Joon-Young Paik, Joong-Hyun Choi, Rize Jin, Jianming Wang, Eun-Sun Cho |
| 2018 | PKAW | Pose Specification Based Online Person Identification. | Tao Guo, Jianming Wang, Rize Jin, Guanghao Jin |
| 2018 | VCIP | Improving Generative Adversarial Networks with Adaptive Control Learning. | Xiaohan Ma, Rize Jin, Kyung-Ah Sohn, Joon-Young Paik, Jing Sun, Tae-Sun Chung |