Qichen Ye

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 20

Top Topics

Top Venues

Publications

Junling Liu, Ziming Wang, Qichen Ye, Dading Chong, Peilin Zhou, Yining Hua
Qilin-Med-VL: Towards Chinese Large Vision-Language Model for General Healthcare. CoRR (2023)
Xuxin Cheng, Zhihong Zhu, Bowen Cao, Qichen Ye, Yuexian Zou
MRRL: Modifying the Reference via Reinforcement Learning for Non-Autoregressive Joint Multiple Intent Detection and Slot Filling. EMNLP (Findings) (2023)
Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim
Equivariant Contrastive Learning for Sequential Recommendation. RecSys (2023)
Wen Wang, Dongchao Yang, Qichen Ye, Bowen Cao, Yuexian Zou
NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement. APSIPA ASC (2023)
Peilin Zhou, Meng Cao, You-Liang Huang, Qichen Ye, Peiyan Zhang, Junling Liu, Yueqi Xie, Yining Hua, Jaeboum Kim
Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study. CoRR (2023)
Wen Wang, Dongchao Yang, Qichen Ye, Bowen Cao, Yuexian Zou
NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement. CoRR (2023)
Qichen Ye, Bowen Cao, Nuo Chen, Weiyuan Xu, Yuexian Zou
FiTs: Fine-Grained Two-Stage Training for Knowledge-Aware Question Answering. AAAI (2023)
Xuxin Cheng, Bowen Cao, Qichen Ye, Zhihong Zhu, Hongxiang Li, Yuexian Zou
ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding. CoRR (2023)
Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu
LLMRec: Benchmarking Large Language Models on Recommendation Task. CoRR (2023)
Qichen Ye, Junling Liu, Dading Chong, Peilin Zhou, Yining Hua, Andrew Liu
Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model. CoRR (2023)
Qichen Ye, Bowen Cao, Nuo Chen, Weiyuan Xu, Yuexian Zou
FiTs: Fine-grained Two-stage Training for Knowledge-aware Question Answering. CoRR (2023)
Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim
Attention Calibration for Transformer-based Sequential Recommendation. CIKM (2023)
Xuxin Cheng, Bowen Cao, Qichen Ye, Zhihong Zhu, Hongxiang Li, Yuexian Zou
ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding. ACL (Findings) (2023)
Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jaeboum Kim, Fangzhao Wu, Sunghun Kim
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. CoRR (2023)
Bowen Cao, Qichen Ye, Weiyuan Xu, Yuexian Zou
FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning. AAAI (2023)
Bowen Cao, Qichen Ye, Weiyuan Xu, Yuexian Zou
FTM: A Frame-level Timeline Modeling Method for Temporal Graph Representation Learning. CoRR (2023)
Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim
Attention Calibration for Transformer-based Sequential Recommendation. CoRR (2023)
Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jae Boum Kim, Fangzhao Wu, Sunghun Kim
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. RecSys (2023)
Qiang Xu, Qichen Ye, Rafal Mantiuk, Ming Ronnier Luo
A Study of Spatial Chromatic Contrast Sensitivity based on Different Colour Background. CIC (2022)
Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Sunghun Kim
Equivariant Contrastive Learning for Sequential Recommendation. CoRR (2022)