Zhan Zhuang

According to our database, Zhan Zhuang authored at least 19 papers between 2023 and 2026.

Collaborative distances:

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

2026

NaRA: Noise-Aware LoRA for Parameter-Efficient Fine-Tuning of Diffusion LLMs.

Shuaidi Wang, Zhan Zhuang, Ruping Huang, Yu Zhang

CoRR, May, 2026

Beyond Uniform Credit Assignment: Selective Eligibility Traces for RLVR.

Chaoli Mou, Zhan Zhuang, Xinning Chen, Yu Zhang

CoRR, May, 2026

HAD: Heterogeneity-Aware Distillation for Lifelong Heterogeneous Learning.

Xuerui Zhang, Xuehao Wang, Zhan Zhuang, Linglan Zhao, Ziyue Li, Xinmin Zhang, Zhihuan Song, Yu Zhang

CoRR, March, 2026

One-Token Verification for Reasoning Correctness Estimation.

Zhan Zhuang, Xiequn Wang, Zebin Chen, Feiyang Ye, Ying Wei, Kede Ma, Yu Zhang

CoRR, March, 2026

Rethinking the Flow-Based Gradual Domain Adaption: A Semi-Dual Optimal Transport Perspective.

Zhichao Chen, Zhan Zhuang, Yunfei Teng, Hao Wang, Fangyikang Wang, Zhengnan Li, Tianqiao Liu, Haoxuan Li, Zhouchen Lin

CoRR, February, 2026

2025

MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition.

Hao Zhang, Zhan Zhuang, Xuehao Wang, Xiaodong Yang, Yu Zhang

CoRR, May, 2025

Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction.

Yanbin Wei, Xuehao Wang, Zhan Zhuang, Yang Chen, Shuhao Chen, Yulong Zhang, Yu Zhang, James T. Kwok

CoRR, May, 2025

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation.

Zhan Zhuang, Xiequn Wang, Wei Li, Yulong Zhang, Qiushi Huang, Shuhao Chen, Xuehao Wang, Yanbin Wei, Yuhe Nie, Kede Ma, Yu Zhang, Ying Wei

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction.

Yanbin Wei, Xuehao Wang, Zhan Zhuang, Yang Chen, Shuhao Chen, Yulong Zhang, James T. Kwok, Yu Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

MTSAM: Multi-Task Fine-Tuning for Segment Anything Model.

Xuehao Wang, Zhan Zhuang, Feiyang Ye, Yu Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models.

Qiushi Huang, Tom Ko, Zhan Zhuang, Lilian Tang, Yu Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PLAN: Proactive Low-Rank Allocation for Continual Learning.

Xiequn Wang, Zhan Zhuang, Yu Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Moonshine: Distilling Game Content Generators into Steerable Generative Models.

Yuhe Nie, Michael Middleton, Tim Merino, Nidhushan Kanagaraja, Ashutosh Kumar, Zhan Zhuang, Julian Togelius

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

2024

Nested Wave Function Collapse Enables Large-Scale Content Generation.

Yuhe Nie, Shaoming Zheng, Zhan Zhuang, Julian Togelius

IEEE Trans. Games, December, 2024

CopRA: A Progressive LoRA Training Strategy.

Zhan Zhuang, Xiequn Wang, Yulong Zhang, Wei Li, Yu Zhang, Ying Wei

CoRR, 2024

Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models.

Zhan Zhuang, Yulong Zhang, Xuehao Wang, Jiangang Lu, Ying Wei, Yu Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Gradual Domain Adaptation via Gradient Flow.

Zhan Zhuang, Yu Zhang, Ying Wei

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Extend Wave Function Collapse to Large-Scale Content Generation.

Yuhe Nie, Shaoming Zheng, Zhan Zhuang, Xuan Song

CoRR, 2023

Extend Wave Function Collapse Algorithm to Large-Scale Content Generation.

Yuhe Nie, Shaoming Zheng, Zhan Zhuang, Xuan Song

Proceedings of the IEEE Conference on Games, 2023