| 2024 | A Diffusion Model with User Preference Guidance for Recommendation. | Boci Peng, Xiaohe Bo, Jiayan Guo, Yan Zhang |
| 2024 | Yes-No Flowchart Generation for Interactive Exploration of Personalized Health Improvement Actions. | Naoya Oda, Yoshiyuki Shoji, Jin-Hyuk Kim, Yusuke Yamamoto |
| 2024 | StreamRec: A Recommendation Inference System with CUDA Stream Acceleration. | Yuean Niu, Zhizhen Xu, Yushu Sun, Chen Xu |
| 2024 | Acceleration of Synopsis Construction for Bounded Approximate Query Processing. | Tianjia Ni, Kento Sugiura, Yoshiharu Ishikawa, Kejing Lu |
| 2024 | Effectiveness of the Programmed Visual Contents Comparison Method for Two Phase Collaborative Learning in Computer Programming Education: A Case Study. | Ha-Thanh Nguyen, Yi Sun, Takeshi Nishida, Xiaonan Wang, Kazuhiro Ohtsuki, Hidenari Kiyomitsu |
| 2024 | Real Estate Information Exploration in VR with LoD Control by Physical Distance. | Yuki Nakayama, Yuya Tsuda, Yoshiyuki Shoji, Hiroaki Ohshima |
| 2024 | Investigating Evidence in Sentence Similarity Using MASK in BERT. | Kanako Nakai, Yuka Kawada, Takehiro Yamamoto, Hiroaki Ohshima |
| 2024 | Multi-Aspect Matching between Disentangled Representations of User Interests and Content for News Recommendation. | Yingzhi Miao, Martin Pavlovski, Zhiqiang Chen, Fang Zhou |
| 2024 | What if User Preferences Shifts: Causal Disentanglement for News Recommendation. | Yingzhi Miao, Zhiqiang Chen, Fang Zhou |
| 2024 | SP-Aug: Towards Efficient Semantic-Preserving Augmentations in Contrastive Learning via Hierarchical Outlier Factor. | Qianwen Meng, Hangwei Qian, Yonghui Xu, Lizhen Cui |
| 2024 | A Type Fusion and Span Relation Enhanced Event Extraction Framework for Confused Event. | Fanshen Meng, Rongheng Lin |
| 2024 | MCD: Multi-stage Catalytic Distillation for Time Series Forecasting. | Ruizhe Ma, Cheng Zhang, Yue Kang, Xiaofei Wang, Chao Qiu |
| 2024 | Entity Profiling with Graph Rules. | Zhenzhen Mai, Wenjun Wang, Xueli Liu, Xiaoyang Feng, Bowen Dong |
| 2024 | SiamSegNet: A multimodal Segmentation Method Based on Cross-modal Generation for Medical Image Segmentation. | Shiqiang Ma, Fei Guo, Jijun Tang |
| 2024 | Domain-specific Answer Sentence Selection with Terminology Augmentation and Cascade Attention. | Xiaotong Lyu, Denghao Ma, Yueguo Chen |
| 2024 | Enhancing Multi-view Contrastive Learning for Graph Anomaly Detection. | Qingcheng Lu, Nannan Wu, Yiming Zhao, Wenjun Wang, Quannan Zu |
| 2024 | KEIM: Knowledge Graph Empowered Interpretable Model for Diagnosis Prediction. | Zhaojing Luo, Chi Zhang, Hao Wang, Jiyun Shi, Meihui Zhang |
| 2024 | MODT: Multi-Objective Database Tuner Using Hierarchical Reinforcement Learning. | Kecheng Luo, Jun-Peng Zhu, Peng Cai, Aoying Zhou |
| 2024 | Unlocking the Potential of Large Language Models for Explainable Recommendations. | Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Enhong Chen |
| 2024 | Optimal Update Repair with Maximum Likelihood and Minimum Cost. | Wenyu Li, Anzhen Zhang, Chuanyu Zong, Rui Zhu, Tao Qiu |
| 2024 | MATEval: A Multi-agent Discussion Framework for Advancing Open-Ended Text Evaluation. | Yu Li, Shenyu Zhang, Rui Wu, Xiutian Huang, Yongrui Chen, Wenhao Xu, Guilin Qi, Dehai Min |
| 2024 | GENET: Unleashing the Power of Side Information for Recommendation via Hypergraph Pre-training. | Yang Li, Qi'ao Zhao, Chen Lin, Zhenjie Zhang, Xiaomin Zhu, Jinsong Su |
| 2024 | Cross-Domain Causal Preference Learning for Out-of-Distribution Recommendation. | Zhuhang Li, Ning Yang |
| 2024 | History Driven Sampling for Scalable Graph Neural Networks. | Yang Li, Bingbing Xu, Fei Sun, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng |
| 2024 | Global Route Planning for Large-Scale Requests on Traffic-Aware Road Network. | JiaJia Li, Yannan Wang, Rui Zhu, Jing Zhang, Na Guo |