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2020 – today
- 2026
[i12]Hongjin Qian, Ziyi Xia, Ze Liu, Jianlyu Chen, Kun Luo, Minghao Qin, Chaofan Li, Lei Xiong, Junwei Lan, Sen Wang, Zhengyang Liang, Yingxia Shao, Defu Lian, Zheng Liu:
DeepXiv-SDK: An Agentic Data Interface for Scientific Literature. CoRR abs/2603.00084 (2026)- 2025
- [c7]Zheng Liu, Ze Liu, Zhengyang Liang, Junjie Zhou, Shitao Xiao, Chao Gao, Chen Jason Zhang, Defu Lian:
Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval. ACL (1) 2025: 19238-19261 - [c6]Yexin Liu, Zhengyang Liang, Yueze Wang, Xianfeng Wu, Feilong Tang, Muyang He, Jian Li, Zheng Liu, Harry Yang, Sernam Lim, Bo Zhao:
Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly. CVPR 2025: 9087-9097 - [c5]Junjie Zhou, Yan Shu, Bo Zhao, Boya Wu, Zhengyang Liang, Shitao Xiao, Minghao Qin, Xi Yang, Yongping Xiong, Bo Zhang, Tiejun Huang, Zheng Liu:
MLVU: Benchmarking Multi-task Long Video Understanding. CVPR 2025: 13691-13701 - [c4]Yan Shu, Zheng Liu, Peitian Zhang, Minghao Qin, Junjie Zhou, Zhengyang Liang, Tiejun Huang, Bo Zhao:
Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding. CVPR 2025: 26160-26169 - [c3]Zhengyang Liang
, Meiyu Liang, Wei Huang, Yawen Li, Wu Liu, Yingxia Shao, Kangkang Lu:
Dynamic Self-adaptive Multiscale Distillation from Pre-trained Multimodal Large Model for Efficient Cross-modal Retrieval. ACM Multimedia 2025: 2851-2859 - [i11]Ze Liu, Zhengyang Liang, Junjie Zhou, Zheng Liu, Defu Lian:
Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval. CoRR abs/2502.11431 (2025) - [i10]Huaying Yuan, Jian Ni, Yueze Wang, Junjie Zhou, Zhengyang Liang, Zheng Liu, Zhao Cao, Zhicheng Dou, Ji-Rong Wen:
MomentSeeker: A Comprehensive Benchmark and A Strong Baseline For Moment Retrieval Within Long Videos. CoRR abs/2502.12558 (2025) - [i9]Minghao Qin, Xiangrui Liu, Zhengyang Liang, Yan Shu, Huaying Yuan, Junjie Zhou, Shitao Xiao, Bo Zhao, Zheng Liu:
Video-XL-2: Towards Very Long-Video Understanding Through Task-Aware KV Sparsification. CoRR abs/2506.19225 (2025) - [i8]Xiangrui Liu, Minghao Qin, Yan Shu, Zhengyang Liang, Yang Tian, Chen Jason Zhang, Bo Zhao, Zheng Liu:
TimeScope: Towards Task-Oriented Temporal Grounding In Long Videos. CoRR abs/2509.26360 (2025) - [i7]Zhengyang Liang, Daoan Zhang, Huichi Zhou, Rui Huang, Bobo Li, Yuechen Zhang, Shengqiong Wu, Xiaohan Wang, Jiebo Luo, Lizi Liao, Hao Fei:
UniVA: Universal Video Agent towards Open-Source Next-Generation Video Generalist. CoRR abs/2511.08521 (2025) - [i6]Zhengyang Liang, Yan Shu, Xiangrui Liu, Minghao Qin, Kaixin Liang, Paolo Rota, Nicu Sebe, Zheng Liu, Lizi Liao:
Video-BrowseComp: Benchmarking Agentic Video Research on Open Web. CoRR abs/2512.23044 (2025) - 2024
- [j1]Qi Yan, Zhengyang Liang, Yang Song, Renjie Liao, Lele Wang:
SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation. Trans. Mach. Learn. Res. 2024 (2024) - [c2]Meiyu Liang, Junping Du, Zhengyang Liang, Yongwang Xing, Wei Huang, Zhe Xue:
Self-Supervised Multi-Modal Knowledge Graph Contrastive Hashing for Cross-Modal Search. AAAI 2024: 13744-13753 - [c1]Yuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, Bo Dai:
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning. ICLR 2024 - [i5]Zhengyang Liang, Meiyu Liang, Wei Huang, Yawen Li, Zhe Xue:
Dynamic Self-adaptive Multiscale Distillation from Pre-trained Multimodal Large Model for Efficient Cross-modal Representation Learning. CoRR abs/2404.10838 (2024) - [i4]Yexin Liu, Zhengyang Liang, Yueze Wang, Muyang He, Jian Li, Bo Zhao:
Seeing Clearly, Answering Incorrectly: A Multimodal Robustness Benchmark for Evaluating MLLMs on Leading Questions. CoRR abs/2406.10638 (2024) - [i3]Zhengyang Liang, Hao He, Ceyuan Yang, Bo Dai:
Scaling Laws For Diffusion Transformers. CoRR abs/2410.08184 (2024) - 2023
- [i2]Qi Yan, Zhengyang Liang, Yang Song, Renjie Liao, Lele Wang:
SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation. CoRR abs/2307.01646 (2023) - 2021
- [i1]Xu Cheng, Xin Wang, Haotian Xue, Zhengyang Liang, Quanshi Zhang:
A Hypothesis for the Aesthetic Appreciation in Neural Networks. CoRR abs/2108.02646 (2021)
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