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Qichen Ye
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2020 – today
- 2023
- [c9]Bowen Cao, Qichen Ye, Weiyuan Xu, Yuexian Zou:
FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning. AAAI 2023: 6888-6896 - [c8]Qichen Ye, Bowen Cao, Nuo Chen, Weiyuan Xu, Yuexian Zou:
FiTs: Fine-Grained Two-Stage Training for Knowledge-Aware Question Answering. AAAI 2023: 13914-13922 - [c7]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: 6492-6505 - [c6]Wen Wang, Dongchao Yang, Qichen Ye, Bowen Cao, Yuexian Zou:
NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement. APSIPA ASC 2023: 2416-2423 - [c5]Peilin Zhou
, Qichen Ye
Attention Calibration for Transformer-based Sequential Recommendation. CIKM 2023: 3595-3605 - [c4]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: 10495-10505 - [c3]Peilin Zhou
Equivariant Contrastive Learning for Sequential Recommendation. RecSys 2023: 129-140 - [c2]Yueqi Xie
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. RecSys 2023: 283-293 - [i11]Qichen Ye, Bowen Cao, Nuo Chen, Weiyuan Xu, Yuexian Zou:
FiTs: Fine-grained Two-stage Training for Knowledge-aware Question Answering. CoRR abs/2302.11799 (2023) - [i10]Bowen Cao, Qichen Ye, Weiyuan Xu, Yuexian Zou:
FTM: A Frame-level Timeline Modeling Method for Temporal Graph Representation Learning. CoRR abs/2302.11814 (2023) - [i9]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 abs/2302.14532 (2023) - [i8]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 abs/2308.09419 (2023) - [i7]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 abs/2308.12241 (2023) - [i6]Wen Wang, Dongchao Yang, Qichen Ye, Bowen Cao, Yuexian Zou:
NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement. CoRR abs/2309.01212 (2023) - [i5]Qichen Ye, Junling Liu, Dading Chong, Peilin Zhou, Yining Hua, Andrew Liu:
Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model. CoRR abs/2310.09089 (2023) - [i4]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 abs/2310.17956 (2023) - [i3]Peilin Zhou, Meng Cao, You-Liang Huang
Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study. CoRR abs/2311.04199 (2023) - [i2]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 abs/2311.11375 (2023) - 2022
- [c1]Qiang Xu, Qichen Ye, Rafal Mantiuk, Ming Ronnier Luo:
A Study of Spatial Chromatic Contrast Sensitivity based on Different Colour Background. CIC 2022: 236-240 - [i1]Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Sunghun Kim:
Equivariant Contrastive Learning for Sequential Recommendation. CoRR abs/2211.05290 (2022)
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