CoRe: An Efficient Coarse-refined Training Framework for BERT. - Cheng Yang 008; Shengnan Wang; Yuechuan Li; Chao Yang; Ming Yan; Jingqiao Zhang; Fangquan Lin (CoRR, 2020)

Dynamic Popularity-Aware Contrastive Learning for Recommendation. - Fangquan Lin; Wei Jiang 027; Jihai Zhang 001; Cheng Yang 008 (ACML, 2021)

Dynamic Sequential Recommendation: Decoupling User Intent from Temporal Context. - Wei Jiang 027; Fangquan Lin; Jihai Zhang 001; Cheng Yang 008; Hanwei Zhang 002; Ziqiang Cui (ICDM (Workshops), 2021)

The CityLearn Challenge 2022: Overview, Results, and Lessons Learned. - Kingsley Nweye; Zoltán Nagy 002; Sharada P. Mohanty; Dipam Chakraborty; Siva Sankaranarayanan; Tianzhen Hong; Sourav Dey; Gregor Henze; Ján Drgona; Fangquan Lin; Wei Jiang 027; Hanwei Zhang 002; et al. (NeurIPS (Competition and Demos), 2021)

An Enhanced Gated Graph Neural Network for E-commerce Recommendation. - Jihai Zhang 001; Fangquan Lin; Cheng Yang 008; Ziqiang Cui (CIKM, 2022)

Neighbor-Augmented Transformer-Based Embedding for Retrieval. - Jihai Zhang 001; Fangquan Lin; Wei Jiang 027; Cheng Yang 008; Gaoge Liu (ICASSP, 2022)

Dual Disentangled Attention for Multi-Information Utilization in Sequential Recommendation. - Ziqiang Cui; Yixin Su 001; Fangquan Lin; Cheng Yang 008; Hanwei Zhang 002; Jihai Zhang 001 (IJCNN, 2022)

A New Sequential Prediction Framework with Spatial-temporal Embedding. - Jihai Zhang 001; Fangquan Lin; Cheng Yang 008; Wei Jiang 027 (SIGIR, 2022)

Deep Multi-Representational Item Network for CTR Prediction. - Jihai Zhang 001; Fangquan Lin; Cheng Yang 008; Wei Wang (SIGIR, 2022)

GUIM - General User and Item Embedding with Mixture of Representation in E-commerce. - Chao Yang; Ru He; Fangquan Lin; Suoyuan Song; Jingqiao Zhang; Cheng Yang 008 (CoRR, 2022)

KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution. - Fangquan Lin; Wei Jiang 027; Hanwei Zhang 002; Cheng Yang 008 (CoRR, 2022)

A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty. - Wei Jiang 027; Zhongkai Yi; Li Wang 134; Hanwei Zhang 002; Jihai Zhang 001; Fangquan Lin; Cheng Yang 008 (CIKM, 2023)

BC-Prover: Backward Chaining Prover for Formal Theorem Proving. - Yuhang He; Jihai Zhang 001; Jianzhu Bao; Fangquan Lin; Cheng Yang 008; Bing Qin 001; Ruifeng Xu 001; Wotao Yin (EMNLP, 2024)

Solving General Natural-Language-Description Optimization Problems with Large Language Models. - Jihai Zhang 001; Wei Wang; Siyan Guo; Li Wang 134; Fangquan Lin; Cheng Yang 008; Wotao Yin (NAACL (Industry Track), 2024)

Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion. - Ben Liu; Jihai Zhang 001; Fangquan Lin; Cheng Yang 008; Min Peng 002 (COLING, 2025)

One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction. - Ben Liu; Jihai Zhang 001; Fangquan Lin; Xu Jia; Min Peng 002 (WWW (Companion Volume), 2025)

SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs. - Ben Liu; Jihai Zhang 001; Fangquan Lin; Cheng Yang 008; Min Peng 002; Wotao Yin (WWW, 2025)

One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction. - Ben Liu; Jihan Zhang; Fangquan Lin; Xu Jia; Min Peng (CoRR, 2025)

Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios. - Yixin Su 001; Wei Jiang 027; Fangquan Lin; Cheng Yang 008; Sarah M. Erfani; Junhao Gan; Yunxiang Zhao; Ruixuan Li 001; Rui Zhang 003 (ACM Trans. Inf. Syst., 2025)