| 2026 | ACL | MIND: From Passive Mimicry to Active Reasoning through Capability-Aware Multi-Perspective CoT Distillation. | Jin Cui, Jiaqi Guo, Jiepeng Zhou, Ruixuan Yang, Jiayi Lu, Jiajun Xu, Jiangcheng Song, Boran Zhao, Pengju Ren |
| 2025 | ACL | Causal Denoising Prototypical Network for Few-Shot Multi-label Aspect Category Detection. | Jin Cui, Xinfeng Wang, Yoshimi Suzuki, Fumiyo Fukumoto |
| 2025 | ACL | AGRec: Adapting Autoregressive Decoders with Graph Reasoning for LLM-based Sequential Recommendation. | Xinfeng Wang, Jin Cui, Fumiyo Fukumoto, Yoshimi Suzuki |
| 2025 | INDIN | A Graph Attention Enhanced Multi-Scale Transfer Learning Method for Few-Shot Sales Prediction in Supply Chain. | Jiajie Wu, Jin Cui, Jing Zhang, Mei Yuan |
| 2025 | INDIN | GL-MHSA:A Demand Forecasting Method for Related Products in Parts Supply Chain System. | Jing Zhang, Lei Ren, Jin Cui, Jiajie Wu, Yuqing Wang, Haiteng Wang, Zuo-Jun Max Shen |
| 2024 | ACL | RDRec: Rationale Distillation for LLM-based Recommendation. | Xinfeng Wang, Jin Cui, Yoshimi Suzuki, Fumiyo Fukumoto |
| 2024 | COLING | Enhanced Coherence-Aware Network with Hierarchical Disentanglement for Aspect-Category Sentiment Analysis. | Jin Cui, Fumiyo Fukumoto, Xinfeng Wang, Yoshimi Suzuki, Jiyi Li, Noriko Tomuro, Wanzeng Kong |
| 2024 | EMNLP | Enhancing High-order Interaction Awareness in LLM-based Recommender Model. | Xinfeng Wang, Jin Cui, Fumiyo Fukumoto, Yoshimi Suzuki |
| 2024 | SIGIR | CaDRec: Contextualized and Debiased Recommender Model. | Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu |
| 2024 | SIGIR | NFARec: A Negative Feedback-Aware Recommender Model. | Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Dongjin Yu |
| 2024 | TASE | An Approach to Improving Reliability of Parallel Graph Computation. | Jin Cui, Zhenhua Duan |
| 2023 | APSEC | Reinforcement Learning Guided Symbolic Execution for Ethereum Smart Contracts. | Meng Wang, Weiliang Fei, Miao Wang, Jin Cui |
| 2023 | EMNLP | Aspect-Category Enhanced Learning with a Neural Coherence Model for Implicit Sentiment Analysis. | Jin Cui, Fumiyo Fukumoto, Xinfeng Wang, Yoshimi Suzuki, Jiyi Li, Wanzeng Kong |
| 2023 | SIGIR | EEDN: Enhanced Encoder-Decoder Network with Local and Global Context Learning for POI Recommendation. | Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu |
| 2020 | IJCAI | A Review of Transfer Learning for EEG-Based Driving Fatigue Detection. | Jin Cui, Yong Peng, Kenji Ozawa, Wanzeng Kong |
| 2016 | Mobisys | TaskFolder: Dynamic and Fine-Grained Workload Consolidation for Mobile Devices. | Yuyang Du, Sebastien Haezebrouck, Jin Cui, Rajeev Muralidhar, Harinarayanan Seshadri, Vishwesh Rudramuni, Nicole Chalhoub, YongTong Chua, Richard Quinzio |
| 2015 | ICFEM | Model Checking \mu μ C/OS-III Multi-task System with TMSVL. | Jin Cui, Zhenhua Duan, Cong Tian, Nan Zhang, Conghao Zhou |
| 2014 | ICECCS | Model Checking Rate-Monotonic Scheduler with TMSVL. | Jin Cui, Zhenhua Duan, Cong Tian |
| 2014 | WCNC | Data aggregation in wireless sensor networks: Compressing or forecasting? | Jin Cui, Fabrice Valois |
| 2013 | VINCI | Multilevel interaction model for hierarchical tasks in information visualization. | Lei Ren, Jin Cui, Yi Du, Guozhong Dai |
| 2010 | ASPDAC | High level event driven thermal estimation for thermal aware task allocation and scheduling. | Jin Cui, Douglas L. Maskell |
| 2007 | DATE | An efficient algorithm for online management of 2D area of partially reconfigurable FPGAs. | Jin Cui, Qingxu Deng, Xiuqiang He, Zonghua Gu |
| 2007 | ISORC | An Efficient Algorithm for Online Soft Real-Time Task Placement on Reconfigurable Hardware Devices. | Jin Cui, Zonghua Gu, Weichen Liu, Qingxu Deng |
| 1994 | COLING | English Generation From Interlingua By Example-Based Method. | Eiji Komatsu, Jin Cui, Hiroshi Yasuhara |