Zhang, Weiqi

10 publications

ICLR 2026 SFT Doesn’t Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs Jiacheng Lin, Zhongruo Wang, Kun Qian, Tian Wang, Arvind Srinivasan, Hansi Zeng, Ruochen Jiao, Xie Zhou, Jiri Gesi, Dakuo Wang, Yufan Guo, Kai Zhong, Weiqi Zhang, Sujay Sanghavi, Changyou Chen, Hyokun Yun, Lihong Li

ICCV 2025 GAP: Gaussianize Any Point Clouds with Text Guidance Weiqi Zhang, Junsheng Zhou, Haotian Geng, Wenyuan Zhang, Yu-Shen Liu

CVPR 2025 Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation Takeshi Noda, Chao Chen, Junsheng Zhou, Weiqi Zhang, Yu-Shen Liu, Zhizhong Han

NeurIPS 2025 MaterialRefGS: Reflective Gaussian Splatting with Multi-View Consistent Material Inference Wenyuan Zhang, Jimin Tang, Weiqi Zhang, Yi Fang, Yu-Shen Liu, Zhizhong Han

IJCAI 2025 MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning Jiexia Ye, Weiqi Zhang, Ziyue Li, Jia Li, Meng Zhao, Fugee Tsung

AAAI 2025 Prototype-Guided Multimodal Relation Extraction Based on Entity Attributes Zefan Zhang, Weiqi Zhang, Yanhui Li, Tian Bai

NeurIPS 2024 DiffGS: Functional Gaussian Splatting Diffusion Junsheng Zhou, Weiqi Zhang, Yu-Shen Liu

NeurIPS 2024 MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step Takeshi Noda, Chao Chen, Weiqi Zhang, Xinhai Liu, Yu-Shen Liu, Zhizhong Han

CVPR 2024 UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion Junsheng Zhou, Weiqi Zhang, Baorui Ma, Kanle Shi, Yu-Shen Liu, Zhizhong Han

IJCAI 2022 GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning Weiqi Zhang, Chen Zhang, Fugee Tsung