Ye Wang

According to our database, Ye Wang authored at least 16 papers between 2023 and 2025.

Collaborative distances:

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

2025

EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration.

Minjie Hong, Yan Xia, Zehan Wang, Jieming Zhu, Ye Wang, Sihang Cai, Xiaoda Yang, Quanyu Dai, Zhenhua Dong, Zhimeng Zhang, Zhou Zhao

Proceedings of the ACM on Web Conference 2025, 2025

Omni-Chart-600K: A Comprehensive Dataset of Chart Types for Chart Understanding.

Shulei Wang, Shuai Yang, Wang Lin, Zirun Guo, Sihang Cai, Hai Huang, Ye Wang, Jingyuan Chen, Tao Jin

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision.

Weicai Yan, Wang Lin, Zirun Guo, Ye Wang, Fangming Feng, Xiaoda Yang, Zehan Wang, Tao Jin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration.

Ye Wang, Jiahao Xun, Mingjie Hong, Jieming Zhu, Tao Jin, Wang Lin, Haoyuan Li, Linjun Li, Yan Xia, Zhou Zhao, Zhenhua Dong

CoRR, 2024

Low-rank Prompt Interaction for Continual Vision-Language Retrieval.

Weicai Yan, Ye Wang, Wang Lin, Zirun Guo, Zhou Zhao, Tao Jin

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Calibrating Prompt from History for Continual Vision-Language Retrieval and Grounding.

Tao Jin, Weicai Yan, Ye Wang, Sihang Cai, Qifan Shuai, Zhou Zhao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration.

Ye Wang, Jiahao Xun, Minjie Hong, Jieming Zhu, Tao Jin, Wang Lin, Haoyuan Li, Linjun Li, Yan Xia, Zhou Zhao, Zhenhua Dong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Rethinking the Multimodal Correlation of Multimodal Sequential Learning via Generalizable Attentional Results Alignment.

Tao Jin, Wang Lin, Ye Wang, Linjun Li, Xize Cheng, Zhou Zhao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

MixSpeech: Cross-Modality Self-Learning with Audio-Visual Stream Mixup for Visual Speech Translation and Recognition.

Xize Cheng, Linjun Li, Tao Jin, Rongjie Huang, Wang Lin, Zehan Wang, Huangdai Liu, Ye Wang, Aoxiong Yin, Zhou Zhao

CoRR, 2023

Rethinking Missing Modality Learning from a Decoding Perspective.

Tao Jin, Xize Cheng, Linjun Li, Wang Lin, Ye Wang, Zhou Zhao

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Exploring Group Video Captioning with Efficient Relational Approximation.

Wang Lin, Tao Jin, Ye Wang, Wenwen Pan, Linjun Li, Xize Cheng, Zhou Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MixSpeech: Cross-Modality Self-Learning with Audio-Visual Stream Mixup for Visual Speech Translation and Recognition.

Xize Cheng, Tao Jin, Rongjie Huang, Linjun Li, Wang Lin, Zehan Wang, Ye Wang, Huadai Liu, Aoxiong Yin, Zhou Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Weakly-Supervised Spoken Video Grounding via Semantic Interaction Learning.

Ye Wang, Wang Lin, Shengyu Zhang, Tao Jin, Linjun Li, Xize Cheng, Zhou Zhao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Semantic-conditioned Dual Adaptation for Cross-domain Query-based Visual Segmentation.

Ye Wang, Tao Jin, Wang Lin, Xize Cheng, Linjun Li, Zhou Zhao

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

TAVT: Towards Transferable Audio-Visual Text Generation.

Wang Lin, Tao Jin, Wenwen Pan, Linjun Li, Xize Cheng, Ye Wang, Zhou Zhao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Contrastive Token-Wise Meta-Learning for Unseen Performer Visual Temporal-Aligned Translation.

Linjun Li, Tao Jin, Xize Cheng, Ye Wang, Wang Lin, Rongjie Huang, Zhou Zhao

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