Ziang Yan

According to our database, Ziang Yan authored at least 21 papers between 2017 and 2025.

Collaborative distances:

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

2025

StreamForest: Efficient Online Video Understanding with Persistent Event Memory.

Xiangyu Zeng, Kefan Qiu, Qingyu Zhang, Xinhao Li, Jing Wang, Jiaxin Li, Ziang Yan, Kun Tian, Meng Tian, Xinhai Zhao, Yi Wang, Limin Wang

CoRR, September, 2025

FreeRet: MLLMs as Training-Free Retrievers.

Yuhan Zhu, Xiangyu Zeng, Chenting Wang, Xinhao Li, Yicheng Xu, Ziang Yan, Yi Wang, Limin Wang

CoRR, September, 2025

VideoChat-R1.5: Visual Test-Time Scaling to Reinforce Multimodal Reasoning by Iterative Perception.

Ziang Yan, Xinhao Li, Yinan He, Zhengrong Yue, Xiangyu Zeng, Yali Wang, Yu Qiao, Limin Wang, Yi Wang

CoRR, September, 2025

VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning.

Xinhao Li, Ziang Yan, Desen Meng, Lu Dong, Xiangyu Zeng, Yinan He, Yali Wang, Yu Qiao, Yi Wang, Limin Wang

CoRR, April, 2025

InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling.

Yi Wang, Xinhao Li, Ziang Yan, Yinan He, Jiashuo Yu, Xiangyu Zeng, Chenting Wang, Changlian Ma, Haian Huang, Jianfei Gao, Min Dou, Kai Chen, Wenhai Wang, Yu Qiao, Yali Wang, Limin Wang

CoRR, January, 2025

TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning.

Xiangyu Zeng, Kunchang Li, Chenting Wang, Xinhao Li, Tianxiang Jiang, Ziang Yan, Songze Li, Yansong Shi, Zhengrong Yue, Yi Wang, Yali Wang, Yu Qiao, Limin Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment.

Ziang Yan, Zhilin Li, Yinan He, Chenting Wang, Kunchang Li, Xinhao Li, Xiangyu Zeng, Zilei Wang, Yali Wang, Yu Qiao, Limin Wang, Yi Wang

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

Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data.

Ziang Yan, Xingyu Zhao, Hanqing Ma, Wei Chen, Jianpeng Qi, Yanwei Yu, Junyu Dong

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2023

An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint.

Ziang Yan, Shusen Wang, Guorui Zhou, Jingjian Lin, Peng Jiang

CoRR, 2023

2021

Adversarial Margin Maximization Networks.

Ziang Yan, Yiwen Guo, Changshui Zhang

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Sill-Net: Feature Augmentation with Separated Illumination Representation.

Haipeng Zhang, Zhong Cao, Ziang Yan, Changshui Zhang

CoRR, 2021

Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.

Ziang Yan, Yiwen Guo, Jian Liang, Changshui Zhang

Proceedings of the 9th International Conference on Learning Representations, 2021

FMA-ETA: Estimating Travel Time Entirely Based on FFN with Attention.

Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Ziang Yan, Changshui Zhang, Jieping Ye

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Learning Fast Approximations of Sparse Nonlinear Regression.

Yuhai Song, Zhong Cao, Kailun Wu, Ziang Yan, Changshui Zhang

CoRR, 2020

2019

Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks.

Yiwen Guo, Ziang Yan, Changshui Zhang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Attribute-Based Synthetic Network (ABS-Net): Learning more from pseudo feature representations.

Jiang Lu, Jin Li, Ziang Yan, Fenghua Mei, Changshui Zhang

Pattern Recognit., 2018

DeepDefense: Training Deep Neural Networks with Improved Robustness.

Ziang Yan, Yiwen Guo, Changshui Zhang

CoRR, 2018

Deep Defense: Training DNNs with Improved Adversarial Robustness.

Ziang Yan, Yiwen Guo, Changshui Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm.

Ziang Yan, Jian Liang, Weishen Pan, Jin Li, Changshui Zhang

CoRR, 2017

Zero-Shot Learning by Generating Pseudo Feature Representations.

Jiang Lu, Jin Li, Ziang Yan, Changshui Zhang

CoRR, 2017

Rare Chinese character recognition by Radical Extraction Network.

Ziang Yan, Chengzhe Yan, Changshui Zhang

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017