Zhe Xu

According to our database, Zhe Xu authored at least 20 papers between 2021 and 2026.

Collaborative distances:

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

2026

A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems.

Zihao Yi, Jiarui Ouyang, Zhe Xu, Yuwen Liu, Tianhao Liao, Haohao Luo, Ying Shen

ACM Comput. Surv., April, 2026

Attention Basin: Why Contextual Position Matters in Large Language Models.

Zihao Yi, Zhenqing Ling, Delong Zeng, Haohao Luo, Zhe Xu, Wei Liu, Jian Luan, Wanxia Cao, Ying Shen

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Perceive, Reflect and Understand Long Video: Progressive Multi-Granular Clue Exploration with Interactive Agents.

Jiahua Li, Kun Wei, Zhe Xu, Zibo Su, Xu Yang, Cheng Deng

CoRR, September, 2025

Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey.

Jiayi Kuang, Ying Shen, Jingyou Xie, Haohao Luo, Zhe Xu, Ronghao Li, Yinghui Li, Xianfeng Cheng, Xika Lin, Yu Han

ACM Comput. Surv., August, 2025

MindGYM: Enhancing Vision-Language Models via Synthetic Self-Challenging Questions.

Zhe Xu, Daoyuan Chen, Zhenqing Ling, Yaliang Li, Ying Shen

CoRR, March, 2025

Robust Temporal Action Localization With Meta Boundary Refinement.

Jiahua Li, Kun Wei, Zhe Xu, Liejun Wang, Cheng Deng

IEEE Trans. Multim., 2025

Parameter-efficient weakly supervised referring video object segmentation via chain-of-thought reasoning.

Xing Wang, Zhe Xu, Yuanshi Zheng, Handing Wang

Complex Intell. Syst., 2025

MindGYM: What Matters in Question Synthesis for Thinking-Centric Fine-Tuning?

Zhe Xu, Daoyuan Chen, Zhenqing Ling, Yaliang Li, Ying Shen

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

Intent-driven In-context Learning for Few-shot Dialogue State Tracking.

Zihao Yi, Zhe Xu, Ying Shen

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning.

Kun Wei, Zhe Xu, Cheng Deng

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Class-Incremental Unsupervised Domain Adaptation via Pseudo-Label Distillation.

Kun Wei, Xu Yang, Zhe Xu, Cheng Deng

IEEE Trans. Image Process., 2024

Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey.

Jiayi Kuang, Jingyou Xie, Haohao Luo, Ronghao Li, Zhe Xu, Xianfeng Cheng, Yinghui Li, Xika Lin, Ying Shen

CoRR, 2024

A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems.

Zihao Yi, Jiarui Ouyang, Yuwen Liu, Tianhao Liao, Zhe Xu, Ying Shen

CoRR, 2024

Do You Guys Want to Dance: Zero-Shot Compositional Human Dance Generation with Multiple Persons.

Zhe Xu, Kun Wei, Xu Yang, Cheng Deng

CoRR, 2024

Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation.

Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Exploiting Intrinsic Multilateral Logical Rules for Weakly Supervised Natural Language Video Localization.

Zhe Xu, Kun Wei, Xu Yang, Cheng Deng

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

2023

Bilateral Relation Distillation for Weakly Supervised Temporal Action Localization.

Zhe Xu, Kun Wei, Erkun Yang, Cheng Deng, Wei Liu

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Point-Supervised Video Temporal Grounding.

Zhe Xu, Kun Wei, Xu Yang, Cheng Deng

IEEE Trans. Multim., 2023

2022

HiSA: Hierarchically Semantic Associating for Video Temporal Grounding.

Zhe Xu, Da Chen, Kun Wei, Cheng Deng, Hui Xue

IEEE Trans. Image Process., 2022

2021

Generalized Zero-Shot Learning via Disentangled Representation.

Xiangyu Li, Zhe Xu, Kun Wei, Cheng Deng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021