Qichen Ye

According to our database, Qichen Ye authored at least 14 papers between 2022 and 2023.

Collaborative distances:

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

2023

Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study.

Peilin Zhou, Meng Cao, You-Liang Huang, Qichen Ye, Peiyan Zhang, Junling Liu, Yueqi Xie, Yining Hua, Jaeboum Kim

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

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

LLMRec: Benchmarking Large Language Models on Recommendation Task.

Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu

CoRR, 2023

Equivariant Contrastive Learning for Sequential Recommendation.

Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim

Proceedings of the 17th ACM Conference on Recommender Systems, 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

Proceedings of the 17th ACM Conference on Recommender Systems, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement.

Wen Wang, Dongchao Yang, Qichen Ye, Bowen Cao, Yuexian Zou

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

FiTs: Fine-Grained Two-Stage Training for Knowledge-Aware Question Answering.

Qichen Ye, Bowen Cao, Nuo Chen, Weiyuan Xu, Yuexian Zou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning.

Bowen Cao, Qichen Ye, Weiyuan Xu, Yuexian Zou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Equivariant Contrastive Learning for Sequential Recommendation.

Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Sunghun Kim

CoRR, 2022

A Study of Spatial Chromatic Contrast Sensitivity based on Different Colour Background.

Qiang Xu, Qichen Ye, Rafal Mantiuk, Ming Ronnier Luo

Proceedings of the 30th Color and Imaging Conference, 2022