Zhengyang Liang

According to our database, Zhengyang Liang authored at least 14 papers between 2021 and 2025.

Collaborative distances:

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

2025

Video-XL-2: Towards Very Long-Video Understanding Through Task-Aware KV Sparsification.

Minghao Qin, Xiangrui Liu, Zhengyang Liang, Yan Shu, Huaying Yuan, Junjie Zhou, Shitao Xiao, Bo Zhao, Zheng Liu

CoRR, June, 2025

MomentSeeker: A Comprehensive Benchmark and A Strong Baseline For Moment Retrieval Within Long Videos.

Huaying Yuan, Jian Ni, Yueze Wang, Junjie Zhou, Zhengyang Liang, Zheng Liu, Zhao Cao, Zhicheng Dou, Ji-Rong Wen

CoRR, February, 2025

Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval.

Ze Liu, Zhengyang Liang, Junjie Zhou, Zheng Liu, Defu Lian

CoRR, February, 2025

Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding.

Yan Shu, Zheng Liu, Peitian Zhang, Minghao Qin, Junjie Zhou, Zhengyang Liang, Tiejun Huang, Bo Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly.

Yexin Liu, Zhengyang Liang, Yueze Wang, Xianfeng Wu, Feilong Tang, Muyang He, Jian Li, Zheng Liu, Harry Yang, Sernam Lim, Bo Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MLVU: Benchmarking Multi-task Long Video Understanding.

Junjie Zhou, Yan Shu, Bo Zhao, Boya Wu, Zhengyang Liang, Shitao Xiao, Minghao Qin, Xi Yang, Yongping Xiong, Bo Zhang, Tiejun Huang, Zheng Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval.

Zheng Liu, Ze Liu, Zhengyang Liang, Junjie Zhou, Shitao Xiao, Chao Gao, Chen Jason Zhang, Defu Lian

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation.

Qi Yan, Zhengyang Liang, Yang Song, Renjie Liao, Lele Wang

Trans. Mach. Learn. Res., 2024

Scaling Laws For Diffusion Transformers.

Zhengyang Liang, Hao He, Ceyuan Yang, Bo Dai

CoRR, 2024

Seeing Clearly, Answering Incorrectly: A Multimodal Robustness Benchmark for Evaluating MLLMs on Leading Questions.

Yexin Liu, Zhengyang Liang, Yueze Wang, Muyang He, Jian Li, Bo Zhao

CoRR, 2024

Dynamic Self-adaptive Multiscale Distillation from Pre-trained Multimodal Large Model for Efficient Cross-modal Representation Learning.

Zhengyang Liang, Meiyu Liang, Wei Huang, Yawen Li, Zhe Xue

CoRR, 2024

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

Yuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, Bo Dai

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Self-Supervised Multi-Modal Knowledge Graph Contrastive Hashing for Cross-Modal Search.

Meiyu Liang, Junping Du, Zhengyang Liang, Yongwang Xing, Wei Huang, Zhe Xue

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2021

A Hypothesis for the Aesthetic Appreciation in Neural Networks.

Xu Cheng, Xin Wang, Haotian Xue, Zhengyang Liang, Quanshi Zhang

CoRR, 2021