NoiseController: Towards Consistent Multi-view Video Generation via Noise Decomposition and Collaboration

IEEE International Conference on Computer Vision (ICCV), 2025.

Haotian Dong, Xin Wang, Di Lin (Co-first Author), Yipeng Wu, Qin Chen, Ruonan Liu, Kairui Yang, Ping Li, Qing Guo.

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CVLN-Think: Causal Inference with Counterfactual Style Adaptation for Continuous Vision-and-Language Navigation

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025.

Ruonan Liu, Shuai Wu, Di Lin (Corresponding Author), Weidong Zhang.

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PhysGCN-DL: Physics-Informed Graph Convolutional Networks with Diversity-Aware Loss Optimization for Multimodal Pedestrian Trajectory Prediction

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025.

Zihan Jiang, Ruonan Liu, Yibo Zhou, Haibo Lu, Boyuan Yang, Di Lin, and Weidong Zhang.

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Causal Regularization Graph Attention Network for Stable Variables Decoupling and Fault Diagnosis of Complex Industrial Processes

IEEE International Conference on Industrial Informatics (INDIN), 2025.

Ruonan Liu, Puyuan Hu, Siheng Zhao, Shifei Ma, Di Lin (Corresponding Author), and Weidong Zhang.

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Generative Hard Example Augmentation for Semantic Point Cloud Segmentation

Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

Qi Zhang, Jibin Peng, Zhao Huang, Wei Feng, Di Lin (Corresponding Author).

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SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments

Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

Yue Cao, Yun Xing, Jie Zhang, Di Lin, Tianwei Zhang, Ivor Tsang, Yang Liu, Qing Guo.

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Temporal-Interim Pose Synthesis and Distillation for Dynamic Human Pose Estimation

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025.

Renjie Zhang, Di Lin (Co-first Author), Xin Wang, Ruonan Liu, Bin Sheng, George Baciu, C. L. Philip Chen, Ping Li.

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Point-to-Set Metric-Gated Mixture of Experts for Multi-Source Domain Adaptation Fault Diagnosis

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025.

Jinyuan Zhang, Boyuan Yang, Ruonan Liu, Di Lin, Ping Li, C. L. Philip Chen.

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Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving

International Conference on Learning Representations (ICLR), 2025.

Kairui Yang, Zihao Guo, Gengjie Lin, Haotian Dong, Zhao Huang, Yipeng Wu, Die Zuo, Jibin Peng, Ziyuan Zhong, Xin Wang, Qing Guo, Xiaosong Jia, Junchi Yan,

Di Lin (Corresponding Author).

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mmFAS: Multimodal Face Anti-Spoofing Using Multi-Level Alignment and Switch-Attention Fusion

AAAI Conference on Artificial Intelligence (AAAI), 2025, (Oral Presentation).

Geng Chen, Wuyuan Xie, Di Lin, Ye Liu, Miaohui Wang

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