Ying Zhang

According to our database, Ying Zhang authored at least 13 papers between 2021 and 2026.

Collaborative distances:

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

2026

Node Role-Guided LLMs for Dynamic Graph Clustering.

Dongyuan Li, Ying Zhang, Yaozu Wu, Renhe Jiang

Proceedings of the ACM Web Conference 2026, 2026

2025

Understanding Fact Recall in Language Models: Why Two-Stage Training Encourages Memorization but Mixed Training Teaches Knowledge.

Ying Zhang, Benjamin Heinzerling, Dongyuan Li, Ryoma Ishigaki, Yuta Hitomi, Kentaro Inui

CoRR, May, 2025

Revisiting Dynamic Graph Clustering via Matrix Factorization.

Dongyuan Li, Satoshi Kosugi, Ying Zhang, Manabu Okumura, Feng Xia, Renhe Jiang

Proceedings of the ACM on Web Conference 2025, 2025

DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs.

Dongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura, Renhe Jiang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Active Learning with Task Adaptation Pre-training for Speech Emotion Recognition.

Dongyuan Li, Ying Zhang, Yusong Wang, Kotaro Funakoshi, Manabu Okumura

J. Nat. Lang. Process., 2024

Reconsidering Token Embeddings with the Definitions for Pre-trained Language Models.

Ying Zhang, Dongyuan Li, Manabu Okumura

CoRR, 2024

Active Learning with Task Adaptation Pre-training for Speech Emotion Recognition.

Dongyuan Li, Ying Zhang, Yusong Wang, Funakoshi Kataro, Manabu Okumura

CoRR, 2024

FINE-LMT: Fine-Grained Feature Learning for Multi-modal Machine Translation.

Yusong Wang, Ying Zhang, Dongyuan Li, Jialun Shen, Yicheng Xu, Mingkun Xu, Kotaro Funakoshi, Manabu Okumura

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Community-Invariant Graph Contrastive Learning.

Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Active Learning for Abstractive Text Summarization via LLM-Determined Curriculum and Certainty Gain Maximization.

Dongyuan Li, Ying Zhang, Zhen Wang, Shiyin Tan, Satoshi Kosugi, Manabu Okumura

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Bidirectional Transformer Reranker for Grammatical Error Correction.

Ying Zhang, Hidetaka Kamigaito, Manabu Okumura

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

2021

Generic Mechanism for Reducing Repetitions in Encoder-Decoder Models.

Ying Zhang, Hidetaka Kamigaito, Tatsuya Aoki, Hiroya Takamura, Manabu Okumura

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

A Language Model-based Generative Classifier for Sentence-level Discourse Parsing.

Ying Zhang, Hidetaka Kamigaito, Manabu Okumura

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021