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2020 – today
- 2026
[i10]Zhichao Chen, Zhan Zhuang, Yunfei Teng, Hao Wang, Fangyikang Wang, Zhengnan Li, Tianqiao Liu, Haoxuan Li
, Zhouchen Lin:
Rethinking the Flow-Based Gradual Domain Adaption: A Semi-Dual Optimal Transport Perspective. CoRR abs/2602.01179 (2026)- [i9]Zhan Zhuang, Xiequn Wang, Zebin Chen, Feiyang Ye, Ying Wei, Kede Ma, Yu Zhang:
One-Token Verification for Reasoning Correctness Estimation. CoRR abs/2603.01025 (2026) - [i8]Xuerui Zhang, Xuehao Wang, Zhan Zhuang, Linglan Zhao, Ziyue Li, Xinmin Zhang, Zhihuan Song, Yu Zhang:
HAD: Heterogeneity-Aware Distillation for Lifelong Heterogeneous Learning. CoRR abs/2603.26192 (2026) - 2025
- [c9]Yuhe Nie, Michael Middleton, Tim Merino, Nidhushan Kanagaraja, Ashutosh Kumar, Zhan Zhuang, Julian Togelius:
Moonshine: Distilling Game Content Generators into Steerable Generative Models. AAAI 2025: 14344-14351 - [c8]Xiequn Wang, Zhan Zhuang, Yu Zhang:
PLAN: Proactive Low-Rank Allocation for Continual Learning. ICCV 2025: 2909-2918 - [c7]Qiushi Huang, Tom Ko, Zhan Zhuang, Lilian Tang, Yu Zhang:
HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models. ICLR 2025 - [c6]Xuehao Wang, Zhan Zhuang, Feiyang Ye, Yu Zhang:
MTSAM: Multi-Task Fine-Tuning for Segment Anything Model. ICLR 2025 - [c5]Yanbin Wei, Xuehao Wang, Zhan Zhuang, Yang Chen, Shuhao Chen, Yulong Zhang, James T. Kwok, Yu Zhang:
Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction. ICML 2025 - [c4]Zhan Zhuang, Xiequn Wang, Wei Li, Yulong Zhang, Qiushi Huang, Shuhao Chen, Xuehao Wang, Yanbin Wei, Yuhe Nie, Kede Ma, Yu Zhang, Ying Wei:
Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation. ICML 2025 - [i7]Yanbin Wei, Xuehao Wang, Zhan Zhuang, Yang Chen, Shuhao Chen, Yulong Zhang, Yu Zhang, James T. Kwok:
Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction. CoRR abs/2505.08266 (2025) - [i6]Hao Zhang, Zhan Zhuang, Xuehao Wang, Xiaodong Yang, Yu Zhang:
MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition. CoRR abs/2505.20744 (2025) - [i5]Zhan Zhuang, Xiequn Wang, Wei Li, Yulong Zhang, Qiushi Huang, Shuhao Chen, Xuehao Wang, Yanbin Wei, Yuhe Nie, Kede Ma, Yu Zhang, Ying Wei:
Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation. CoRR abs/2506.05713 (2025) - [i4]Xiequn Wang, Zhan Zhuang, Yu Zhang:
PLAN: Proactive Low-Rank Allocation for Continual Learning. CoRR abs/2510.21188 (2025) - 2024
- [j1]Yuhe Nie, Shaoming Zheng, Zhan Zhuang, Julian Togelius:
Nested Wave Function Collapse Enables Large-Scale Content Generation. IEEE Trans. Games 16(4): 892-902 (2024) - [c3]Zhan Zhuang, Yu Zhang, Ying Wei:
Gradual Domain Adaptation via Gradient Flow. ICLR 2024 - [c2]Zhan Zhuang, Yulong Zhang, Xuehao Wang, Jiangang Lu, Ying Wei, Yu Zhang:
Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models. NeurIPS 2024 - [i3]Yuhe Nie, Michael Middleton, Tim Merino, Nidhushan Kanagaraja, Ashutosh Kumar, Zhan Zhuang, Julian Togelius:
Moonshine: Distilling Game Content Generators into Steerable Generative Models. CoRR abs/2408.09594 (2024) - [i2]Zhan Zhuang, Xiequn Wang, Yulong Zhang, Wei Li, Yu Zhang, Ying Wei:
CopRA: A Progressive LoRA Training Strategy. CoRR abs/2410.22911 (2024) - 2023
- [c1]Yuhe Nie, Shaoming Zheng, Zhan Zhuang, Xuan Song:
Extend Wave Function Collapse Algorithm to Large-Scale Content Generation. CoG 2023: 1-8 - [i1]Yuhe Nie, Shaoming Zheng, Zhan Zhuang, Xuan Song:
Extend Wave Function Collapse to Large-Scale Content Generation. CoRR abs/2308.07307 (2023)
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