Yongxin Ni
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
13
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Uncertainty-aware Knowledge Tracing. | Weihua Cheng, Hanwen Du, Chunxiao Li, Ersheng Ni, Liangdi Tan, Tianqi Xu, Yongxin Ni |
| 2025 | ACL | Data Interpreter: An LLM Agent for Data Science. | Sirui Hong, Yizhang Lin, Bang Liu, Bangbang Liu, Binhao Wu, Ceyao Zhang, Danyang Li, Jiaqi Chen, Jiayi Zhang, Jinlin Wang, Li Zhang, Lingyao Zhang, Min Yang, Mingchen Zhuge, Taicheng Guo, Tuo Zhou, Wei Tao, Robert Tang, Xiangtao Lu, Xiawu Zheng, Xinbing Liang, Yaying Fei, Yuheng Cheng, Yongxin Ni, Zhibin Gou, Zongze Xu, Yuyu Luo, Chenglin Wu |
| 2025 | CIKM | A Content-Driven Micro-Video Recommendation Dataset at Scale. | Yongxin Ni, Yu Cheng, Xiangyan Liu, Junchen Fu, Youhua Li, Xiangnan He, Yongfeng Zhang, Fajie Yuan |
| 2025 | CIKM | AMBER: Adaptive Meta Balanced Paradigm for Heterogeneous Graph-Based Knowledge Tracing. | Lifan Sun, Zichen Yuan, Ersheng Ni, Weihua Cheng, Xinyuan Song, Linkun Dai, Hongwei Jiang, Sibo Xu, Mengmeng Chen, Yucen Zhuang, Yongxin Ni, Youhua Li |
| 2025 | CIKM | Frequency-Decoupled Distillation for Efficient Multimodal Recommendation. | Ziyi Zhuang, Hongji Li, Junchen Fu, Jiacheng Liu, Joemon M. Jose, Youhua Li, Yongxin Ni |
| 2025 | CVPR | Video-Bench: Human-Aligned Video Generation Benchmark. | Hui Han, Siyuan Li, Jiaqi Chen, Yiwen Yuan, Yuling Wu, Yufan Deng, Chak Tou Leong, Hanwen Du, Junchen Fu, Youhua Li, Jie Zhang, Chi Zhang, Li-jia Li, Yongxin Ni |
| 2025 | EMNLP | SOLAR: Serendipity Optimized Language Model Aligned for Recommendation. | Zichen Yuan, Lifan Sun, Yucen Zhuang, Yue Wang, Xinyuan Song, Tianqi Xu, Siyuan Li, Junchen Fu, Youhua Li, Sirui Hong, Jiaqi Chen, Joemon M. Jose, Yongxin Ni |
| 2025 | WWW | Bridging the Gap: Teacher-Assisted Wasserstein Knowledge Distillation for Efficient Multi-Modal Recommendation. | Ziyi Zhuang, Hanwen Du, Hui Han, Youhua Li, Junchen Fu, Joemon M. Jose, Yongxin Ni |
| 2025 | WSDM | Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration. | Hongji Li, Hanwen Du, Youhua Li, Junchen Fu, Chunxiao Li, Ziyi Zhuang, Jiakang Li, Yongxin Ni |
| 2024 | ICDE | Multi-Modality is All You Need for Transferable Recommender Systems. | Youhua Li, Hanwen Du, Yongxin Ni, Pengpeng Zhao, Qi Guo, Fajie Yuan, Xiaofang Zhou |
| 2024 | SDM | An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. | Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan |
| 2023 | SIGIR | Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited. | Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, Yongxin Ni |
| 2022 | RecSys | Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions. | Weixin Chen, Mingkai He, Yongxin Ni, Weike Pan, Li Chen, Zhong Ming |
| 2022 | WISE | TUR: Utilizing Temporal Information to Make Unexpected E-Commerce Recommendations. | Yongxin Ni, Ningxia Wang, Li Chen, Rui Chen, Lei Li |
| 2020 | ICONIP | Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering. | Yongxin Ni, Zhuoxin Zhan, Weike Pan, Zhong Ming |