Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering. - Yongxin Ni; Zhuoxin Zhan; Weike Pan; Zhong Ming 001 (ICONIP (3), 2020)

Factored heterogeneous similarity model for recommendation with implicit feedback. - Yongxin Ni; Xiancong Chen; Weike Pan; Zixiang Chen; Zhong Ming 001 (Neurocomputing, 2021)

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 009; Zhong Ming 001 (RecSys, 2022)

TUR: Utilizing Temporal Information to Make Unexpected E-Commerce Recommendations. - Yongxin Ni; Ningxia Wang; Li Chen 009; Rui Chen 012; Lei Li 042 (WISE, 2022)

Collaborative filtering with implicit feedback via learning pairwise preferences over user-groups and item-sets. - Yongxin Ni; Shan Ouyang 004; Lin Li 039; Weike Pan; Zhong Ming 001 (CCF Trans. Pervasive Comput. Interact., 2022)

Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation. - Wei Ji 008; Xiangyan Liu; An Zhang 003; Yinwei Wei; Yongxin Ni; Xiang Wang 010 (ACM Multimedia, 2023)

Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited. - Zheng Yuan; Fajie Yuan; Yu Song 007; Youhua Li; Junchen Fu; Fei Yang; Yunzhu Pan; Yongxin Ni (SIGIR, 2023)

A Content-Driven Micro-Video Recommendation Dataset at Scale. - Yongxin Ni; Yu Cheng 011; Xiangyan Liu; Junchen Fu; Youhua Li; Xiangnan He 001; Yongfeng Zhang; Fajie Yuan (CoRR, 2023)

FMMRec: Fairness-aware Multimodal Recommendation. - Weixin Chen; Li Chen; Yongxin Ni; Yuhan Zhao; Fajie Yuan; Yongfeng Zhang (CoRR, 2023)

Multi-Modality is All You Need for Transferable Recommender Systems. - Youhua Li; Hanwen Du; Yongxin Ni; Pengpeng Zhao 001; Qi Guo; Fajie Yuan; Xiaofang Zhou 001 (ICDE, 2024)

An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. - Yu Cheng 011; Yunzhu Pan; Jiaqi Zhang; Yongxin Ni; Aixin Sun; Fajie Yuan (SDM, 2024)

Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation. - Junchen Fu; Xuri Ge; Xin Xin 003; Alexandros Karatzoglou; Ioannis Arapakis; Kaiwen Zheng; Yongxin Ni; Joemon M. Jose (CoRR, 2024)

A comprehensive review of community detection in graphs. - Jiakang Li; Songning Lai; Zhihao Shuai; Yuan Tan; Yifan Jia 010; Mianyang Yu; Zichen Song; Xiaokang Peng; Ziyang Xu; Yongxin Ni; Haifeng Qiu; Jiayu Yang; et al. (Neurocomputing, 2024)

Uncertainty-aware Knowledge Tracing. - Weihua Cheng; Hanwen Du; Chunxiao Li; Ersheng Ni; Liangdi Tan; Tianqi Xu; Yongxin Ni (AAAI, 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; et al. (ACL (Findings), 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; et al. (CVPR, 2025)

Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration. - Hongji Li 003; Hanwen Du; Youhua Li; Junchen Fu; Chunxiao Li; Ziyi Zhuang; Jiakang Li; Yongxin Ni (WSDM, 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 (WWW, 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; et al. (CoRR, 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, 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, 2025)

NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation. - Jiaqi Zhang; Yu Cheng 011; Yongxin Ni; Yunzhu Pan; Zheng Yuan; Junchen Fu; Youhua Li; Jie Wang 072; Fajie Yuan (IEEE Trans. Pattern Anal. Mach. Intell., 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; et al. (CoRR, 2025)