Zhang, Sai Qian

13 publications

NeurIPS 2025 DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding Yunhai Hu, Tianhua Xia, Zining Liu, Rahul Raman, Xingyu Liu, Bo Bao, Eric Sather, Vithursan Thangarasa, Sai Qian Zhang

WACV 2025 DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing Zhenyuan Dong, Sai Qian Zhang

NeurIPS 2025 ESCA: Enabling Seamless Codec Avatar Execution Through Algorithm and Hardware Co-Optimization for Virtual Reality Mingzhi Zhu, Ding Shang, Sai Qian Zhang

CVPR 2025 Foveated Instance Segmentation Hongyi Zeng, Wenxuan Liu, Tianhua Xia, Jinhui Chen, Ziyun Li, Sai Qian Zhang

CVPRW 2025 PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers Maximilian Augustin, Syed Shakib Sarwar, Mostafa Elhoushi, Yuecheng Li, Sai Qian Zhang, Barbara De Salvo

NeurIPS 2025 QSVD: Efficient Low-Rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models Yutong Wang, Haiyu Wang, Sai Qian Zhang

TMLR 2025 Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction Sai Qian Zhang, Ziyun Li, Chuan Guo, Saeed Mahloujifar, Deeksha Dangwal, G. Edward Suh, Barbara De Salvo, Chiao Liu

TMLR 2024 Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Zeyu Han, Chao Gao, Jinyang Liu, Jeff Zhang, Sai Qian Zhang

AAAI 2022 A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning Sai Qian Zhang, Jieyu Lin, Qi Zhang

ECCV 2022 SphereFed: Hyperspherical Federated Learning Xin Dong, Sai Qian Zhang, Ang Li, H.T. Kung

AAAI 2020 RTN: Reparameterized Ternary Network Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang

NeurIPS 2020 Succinct and Robust Multi-Agent Communication with Temporal Message Control Sai Qian Zhang, Qi Zhang, Jieyu Lin

NeurIPS 2019 Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control Sai Qian Zhang, Qi Zhang, Jieyu Lin