A Study of Spatial Chromatic Contrast Sensitivity based on Different Colour Background. - Qiang Xu; Qichen Ye; Rafal Mantiuk; Ming Ronnier Luo (CIC, 2022)

Equivariant Contrastive Learning for Sequential Recommendation. - Peilin Zhou; Jingqi Gao; Yueqi Xie; Qichen Ye; Yining Hua; Sunghun Kim 001 (CoRR, 2022)

FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning. - Bowen Cao; Qichen Ye; Weiyuan Xu; Yuexian Zou (AAAI, 2023)

FiTs: Fine-Grained Two-Stage Training for Knowledge-Aware Question Answering. - Qichen Ye; Bowen Cao; Nuo Chen 001; Weiyuan Xu; Yuexian Zou (AAAI, 2023)

ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding. - Xuxin Cheng; Bowen Cao; Qichen Ye; Zhihong Zhu; Hongxiang Li; Yuexian Zou (ACL (Findings), 2023)

NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement. - Wen Wang; Dongchao Yang; Qichen Ye; Bowen Cao; Yuexian Zou (APSIPA ASC, 2023)

Attention Calibration for Transformer-based Sequential Recommendation. - Peilin Zhou; Qichen Ye; Yueqi Xie; Jingqi Gao; Shoujin Wang; Jae Boum Kim; Chenyu You; Sunghun Kim 001 (CIKM, 2023)

MRRL: Modifying the Reference via Reinforcement Learning for Non-Autoregressive Joint Multiple Intent Detection and Slot Filling. - Xuxin Cheng; Zhihong Zhu; Bowen Cao; Qichen Ye; Yuexian Zou (EMNLP (Findings), 2023)

Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. - Yueqi Xie; Jingqi Gao; Peilin Zhou; Qichen Ye; Yining Hua; Jae Boum Kim; Fangzhao Wu; Sunghun Kim 001 (RecSys, 2023)

Equivariant Contrastive Learning for Sequential Recommendation. - Peilin Zhou; Jingqi Gao; Yueqi Xie; Qichen Ye; Yining Hua; Jaeboum Kim; Shoujin Wang; Sunghun Kim 001 (RecSys, 2023)

LLMRec: Benchmarking Large Language Models on Recommendation Task. - Junling Liu; Chao Liu 001; Peilin Zhou; Qichen Ye; Dading Chong; Kang Zhou; Yueqi Xie; Yuwei Cao; Shoujin Wang; Chenyu You; Philip S. Yu (CoRR, 2023)

Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model. - Qichen Ye; Junling Liu; Dading Chong; Peilin Zhou; Yining Hua; Andrew Liu (CoRR, 2023)

Qilin-Med-VL: Towards Chinese Large Vision-Language Model for General Healthcare. - Junling Liu; Ziming Wang; Qichen Ye; Dading Chong; Peilin Zhou; Yining Hua (CoRR, 2023)

Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study. - Peilin Zhou; Meng Cao 002; You-Liang Huang; Qichen Ye; Peiyan Zhang; Junling Liu; Yueqi Xie; Yining Hua; Jaeboum Kim (CoRR, 2023)

BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese. - Peilin Zhou; Bruce Leon; Xiang Ying; Can Zhang 001; Yifan Shao; Qichen Ye; Dading Chong; Zhiling Jin; Chenxuan Xie; Meng Cao 002; Yuxin Gu; Sixin Hong; et al. (CoRR, 2025)