Target Interest Distillation for Multi-Interest Recommendation. - Chenyang Wang 003; Zhefan Wang; Yankai Liu; Yang Ge; Weizhi Ma; Min Zhang 006; Yiqun Liu 001; Junlan Feng; Chao Deng 004; Shaoping Ma (CIKM, 2022)

Intent-aware Ranking Ensemble for Personalized Recommendation. - Jiayu Li 001; Peijie Sun; Zhefan Wang; Weizhi Ma; Yangkun Li; Min Zhang 006; Zhoutian Feng; Daiyue Xue (SIGIR, 2023)

To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models. - Zhefan Wang; Weizhi Ma; Min Zhang 006 (DASFAA (5), 2024)

An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding. - Renqi Chen; Wenwei Han; Haohao Zhang; Haoyang Su; Zhefan Wang; Xiaolei Liu; Hao Jiang; Wanli Ouyang; Nanqing Dong (IJCAI, 2024)

Empowering and Assessing the Utility of Large Language Models in Crop Science. - Hang Zhang; Jiawei Sun; Renqi Chen; Wei Liu 123; Zhonghang Yuan; Xinzhe Zheng 001; Zhefan Wang; Zhiyuan Yang; Hang Yan 001; Han-Sen Zhong; Xiqing Wang; Wanli Ouyang; et al. (NeurIPS, 2024)

MACRec: A Multi-Agent Collaboration Framework for Recommendation. - Zhefan Wang; Yuanqing Yu; Wendi Zheng; Weizhi Ma; Min Zhang 006 (SIGIR, 2024)

Multi-Agent Collaboration Framework for Recommender Systems. - Zhefan Wang; Yuanqing Yu; Wendi Zheng; Weizhi Ma; Min Zhang 006 (CoRR, 2024)

StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs. - Yuanqing Yu; Zhefan Wang; Weizhi Ma; Zhicheng Guo; Jingtao Zhan; Shuai Wang 020; Chuhan Wu; Zhiqiang Guo; Min Zhang 006 (CoRR, 2024)

SeedBench: A Multi-task Benchmark for Evaluating Large Language Models in Seed Science. - Jie Ying; Zihong Chen; Zhefan Wang; Wanli Jiang; Chenyang Wang; Zhonghang Yuan; Haoyang Su; Huanjun Kong; Fan Yang; Nanqing Dong (ACL (1), 2025)

Intelligent Agents with Adaptive Knowledge Fusion for Personalized Recommendation. - Yuanqing Yu; Zhefan Wang; Chumeng Jiang; Xinyi Li; Jiayin Wang; Min Zhang 006 (WWW (Companion Volume), 2025)

HuixiangDou2: A Robustly Optimized GraphRAG Approach. - Huanjun Kong; Zhefan Wang; Chenyang Wang; Zhe Ma; Nanqing Dong (CoRR, 2025)