Yongxin Ni

According to our database, Yongxin Ni authored at least 23 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

You Don't Know Until You Click:Automated GUI Testing for Production-Ready Software Evaluation.

Yutong Bian, Xianhao Lin, Yupeng Xie, Tianyang Liu, Mingchen Zhuge, Siyuan Lu, Haoming Tang, Jinlin Wang, Jiayi Zhang, Jiaqi Chen, Xiangru Tang, Yongxin Ni, Sirui Hong, Chenglin Wu

CoRR, August, 2025

NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation.

Jiaqi Zhang, Yu Cheng, Yongxin Ni, Yunzhu Pan, Zheng Yuan, Junchen Fu, Youhua Li, Jie Wang, Fajie Yuan

IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

CROSSAN: Towards Efficient and Effective Adaptation of Multiple Multimodal Foundation Models for Sequential Recommendation.

Junchen Fu, Yongxin Ni, Joemon M. Jose, Ioannis Arapakis, Kaiwen Zheng, Youhua Li, Xuri Ge

CoRR, April, 2025

ContrastiveGaussian: High-Fidelity 3D Generation with Contrastive Learning and Gaussian Splatting.

Junbang Liu, Enpei Huang, Dongxing Mao, Hui Zhang, Xinyuan Song, Yongxin Ni

CoRR, April, 2025

Video-Bench: Human-Aligned Video Generation Benchmark.

Hui Han, Siyuan Li, Jiaqi Chen, Yiwen Yuan, Yuling Wu, Chak Tou Leong, Hanwen Du, Junchen Fu, Youhua Li, Jie Zhang, Chi Zhang, Li-jia Li, Yongxin Ni

CoRR, April, 2025

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

Proceedings of the ACM on Web Conference 2025, 2025

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

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Uncertainty-aware Knowledge Tracing.

Weihua Cheng, Hanwen Du, Chunxiao Li, Ersheng Ni, Liangdi Tan, Tianqi Xu, Yongxin Ni

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

A comprehensive review of community detection in graphs.

Jiakang Li, Songning Lai, Zhihao Shuai, Yuan Tan, Yifan Jia, Mianyang Yu, Zichen Song, Xiaokang Peng, Ziyang Xu, Yongxin Ni, Haifeng Qiu, Jiayu Yang, Yutong Liu, Yonggang Lu

Neurocomputing, 2024

Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation.

Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Kaiwen Zheng, Yongxin Ni, Joemon M. Jose

CoRR, 2024

An Image Dataset for Benchmarking Recommender Systems with Raw Pixels.

Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Multi-Modality is All You Need for Transferable Recommender Systems.

Youhua Li, Hanwen Du, Yongxin Ni, Pengpeng Zhao, Qi Guo, Fajie Yuan, Xiaofang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

FMMRec: Fairness-aware Multimodal Recommendation.

Weixin Chen, Li Chen, Yongxin Ni, Yuhan Zhao, Fajie Yuan, Yongfeng Zhang

CoRR, 2023

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

CoRR, 2023

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

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation.

Wei Ji, Xiangyan Liu, An Zhang, Yinwei Wei, Yongxin Ni, Xiang Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Collaborative filtering with implicit feedback via learning pairwise preferences over user-groups and item-sets.

Yongxin Ni, Shan Ouyang, Lin Li, Weike Pan, Zhong Ming

CCF Trans. Pervasive Comput. Interact., 2022

TUR: Utilizing Temporal Information to Make Unexpected E-Commerce Recommendations.

Yongxin Ni, Ningxia Wang, Li Chen, Rui Chen, Lei Li

Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

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

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021

Factored heterogeneous similarity model for recommendation with implicit feedback.

Yongxin Ni, Xiancong Chen, Weike Pan, Zixiang Chen, Zhong Ming

Neurocomputing, 2021

2020

Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering.

Yongxin Ni, Zhuoxin Zhan, Weike Pan, Zhong Ming

Proceedings of the Neural Information Processing - 27th International Conference, 2020