Qichen Ye - RankMe

23 papers A* 2A 3Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese. CoRR Peilin Zhou, Bruce Leon, Xiang Ying, Can Zhang, Yifan Shao, Qichen Ye, Dading Chong, Zhiling Jin, Chenxuan Xie, Meng Cao, Yuxin Gu, Sixin Hong, Jing Ren, Jian Chen, Chao Liu, Yining Hua
2025	J	`jnl`	Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search. CoRR Zhiyu Mou, Yiqin Lv, Miao Xu, Qi Wang, Yixiu Mao, Qichen Ye, Chao Li, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng
2025	J	`jnl`	HOB: A Holistically Optimized Bidding Strategy under Heterogeneous Auction Mechanisms with Organic Traffic. CoRR Qi Li, Wendong Huang, Qichen Ye, Wutong Xu, Cheems Wang, Rongquan Bai, Wei Yuan, Guan Wang, Chuan Yu, Jian Xu
2023	A	`conf`	Attention Calibration for Transformer-based Sequential Recommendation. CIKM Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim
2023	J	`jnl`	Attention Calibration for Transformer-based Sequential Recommendation. CoRR Peilin Zhou, Qichen Ye, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Chenyu You, Sunghun Kim
2023	A	`conf`	Equivariant Contrastive Learning for Sequential Recommendation. RecSys Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Jaeboum Kim, Shoujin Wang, Sunghun Kim
2023	J	`jnl`	Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study. CoRR Peilin Zhou, Meng Cao, You-Liang Huang, Qichen Ye, Peiyan Zhang, Junling Liu, Yueqi Xie, Yining Hua, Jaeboum Kim
2023	A*	`conf`	FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning. AAAI Bowen Cao, Qichen Ye, Weiyuan Xu, Yuexian Zou
2023	J	`jnl`	FTM: A Frame-level Timeline Modeling Method for Temporal Graph Representation Learning. CoRR Bowen Cao, Qichen Ye, Weiyuan Xu, Yuexian Zou
2023	A*	`conf`	FiTs: Fine-Grained Two-Stage Training for Knowledge-Aware Question Answering. AAAI Qichen Ye, Bowen Cao, Nuo Chen, Weiyuan Xu, Yuexian Zou
2023	J	`jnl`	FiTs: Fine-grained Two-stage Training for Knowledge-aware Question Answering. CoRR Qichen Ye, Bowen Cao, Nuo Chen, Weiyuan Xu, Yuexian Zou
2023	J	`jnl`	LLMRec: Benchmarking Large Language Models on Recommendation Task. CoRR Junling Liu, Chao Liu, Peilin Zhou, Qichen Ye, Dading Chong, Kang Zhou, Yueqi Xie, Yuwei Cao, Shoujin Wang, Chenyu You, Philip S. Yu
2023	—	`conf`	ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding. ACL (Findings) Xuxin Cheng, Bowen Cao, Qichen Ye, Zhihong Zhu, Hongxiang Li, Yuexian Zou
2023	J	`jnl`	ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding. CoRR Xuxin Cheng, Bowen Cao, Qichen Ye, Zhihong Zhu, Hongxiang Li, Yuexian Zou
2023	—	`conf`	MRRL: Modifying the Reference via Reinforcement Learning for Non-Autoregressive Joint Multiple Intent Detection and Slot Filling. EMNLP (Findings) Xuxin Cheng, Zhihong Zhu, Bowen Cao, Qichen Ye, Yuexian Zou
2023	—	`conf`	NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement. APSIPA ASC Wen Wang, Dongchao Yang, Qichen Ye, Bowen Cao, Yuexian Zou
2023	J	`jnl`	NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement. CoRR Wen Wang, Dongchao Yang, Qichen Ye, Bowen Cao, Yuexian Zou
2023	J	`jnl`	Qilin-Med-VL: Towards Chinese Large Vision-Language Model for General Healthcare. CoRR Junling Liu, Ziming Wang, Qichen Ye, Dading Chong, Peilin Zhou, Yining Hua
2023	J	`jnl`	Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model. CoRR Qichen Ye, Junling Liu, Dading Chong, Peilin Zhou, Yining Hua, Andrew Liu
2023	A	`conf`	Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. RecSys Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jae Boum Kim, Fangzhao Wu, Sunghun Kim
2023	J	`jnl`	Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. CoRR Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jaeboum Kim, Fangzhao Wu, Sunghun Kim
2022	—	`conf`	A Study of Spatial Chromatic Contrast Sensitivity based on Different Colour Background. CIC Qiang Xu, Qichen Ye, Rafal Mantiuk, Ming Ronnier Luo
2022	J	`jnl`	Equivariant Contrastive Learning for Sequential Recommendation. CoRR Peilin Zhou, Jingqi Gao, Yueqi Xie, Qichen Ye, Yining Hua, Sunghun Kim