Sai Qian Zhang

95 papers A* 12A 9B 6C 3Journal 46Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	LARA: LLM-based Agile Power Distribution Network Restoration from Disastrous Events. EACL (Findings) Jishnu Warrier, Heqing Huang, Yuzhang Lin, Sai Qian Zhang
2026	—	`conf`	Segment Only Where You Look: Leveraging Human Gaze Behavior for Efficient Computer Vision Applications in Augmented Reality. ASPLOS (2) Tianhua Xia, Haiyu Wang, Sai Qian Zhang
2026	J	`jnl`	pFedNavi: Structure-Aware Personalized Federated Vision-Language Navigation for Embodied AI. CoRR Qingqian Yang, Hao Wang, Sai Qian Zhang, Jian Li, Yang Hua, Miao Pan, Tao Song, Zhengwei Qi, Haibing Guan
2025	J	`jnl`	A Task-Oriented Deep Learning Approach for Human Localization. IEEE Trans. Cogn. Dev. Syst. Yu-Jia Chen, Wei Chen, Sai Qian Zhang, Hai-Yan Huang, H. T. Kung
2025	A	`conf`	A3FR: Agile 3D Gaussian Splatting with Incremental Gaze Tracked Foveated Rendering in Virtual Reality. ICS Shuo Xin, Haiyu Wang, Sai Qian Zhang
2025	J	`jnl`	A3FR: Agile 3D Gaussian Splatting with Incremental Gaze Tracked Foveated Rendering in Virtual Reality. CoRR Shuo Xin, Haiyu Wang, Sai Qian Zhang
2025	A*	`conf`	CapRecover: A Cross-Modality Feature Inversion Attack Framework on Vision Language Models. ACM Multimedia Kedong Xiu, Sai Qian Zhang
2025	J	`jnl`	DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding. CoRR Yunhai Hu, Tianhua Xia, Zining Liu, Rahul Raman, Xingyu Liu, Bo Bao, Eric Sather, Vithursan Thangarasa, Sai Qian Zhang
2025	J	`jnl`	DSD: A Distributed Speculative Decoding Solution for Edge-Cloud Agile Large Model Serving. CoRR Fengze Yu, Leshu Li, Brad McDanel, Sai Qian Zhang
2025	A	`conf`	DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing. WACV Zhenyuan Dong, Sai Qian Zhang
2025	J	`jnl`	ESCA: Enabling Seamless Codec Avatar Execution through Algorithm and Hardware Co-Optimization for Virtual Reality. CoRR Mingzhi Zhu, Ding Shang, Sai Qian Zhang
2025	J	`jnl`	FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Efficient Foveated Rendering in Virtual Reality. IEEE Trans. Vis. Comput. Graph. Wenxuan Liu, Budmonde Duinkharjav, Qi Sun, Sai Qian Zhang
2025	A*	`conf`	Foveated Instance Segmentation. CVPR Hongyi Zeng, Wenxuan Liu, Tianhua Xia, Jinhui Chen, Ziyun Li, Sai Qian Zhang
2025	J	`jnl`	Foveated Instance Segmentation. CoRR Hongyi Zeng, Wenxuan Liu, Tianhua Xia, Jinhui Chen, Ziyun Li, Sai Qian Zhang
2025	C	`conf`	FrameVoting: A Robust and Fast Method of Using Gaze Estimations to Identify Objects of Interest. ISCAS Kao-Den Chang, He-Yen Hsieh, H. T. Kung, Ziyun Li, Sai Qian Zhang
2025	—	`conf`	H4H: Hybrid Convolution-Transformer Architecture Search for NPU-CIM Heterogeneous Systems for AR/VR Applications (Abstract). HOPC@SPAA Yiwei Zhao, Jinhui Chen, Sai Qian Zhang, Syed Shakib Sarwar, Kleber Hugo Stangherlin, Jorge Tomás Gómez, Jae-sun Seo, Barbara De Salvo, Chiao Liu, Phillip B. Gibbons, Ziyun Li
2025	—	`conf`	H4H: Hybrid Convolution-Transformer Architecture Search for NPU-CIM Heterogeneous Systems for AR/VR Applications. ASP-DAC Yiwei Zhao, Jinhui Chen, Sai Qian Zhang, Syed Shakib Sarwar, Kleber Hugo Stangherlin, Jorge Tomás Gómez, Jae-sun Seo, Barbara De Salvo, Chiao Liu, Phillip B. Gibbons, Ziyun Li
2025	A	`conf`	HAAN: A Holistic Approach for Accelerating Normalization Operations in Large Language Models. DATE Tianfan Peng, Tianhua Xia, Jiajun Qin, Sai Qian Zhang
2025	J	`jnl`	HAAN: A Holistic Approach for Accelerating Normalization Operations in Large Language Models. CoRR Tianfan Peng, Jiajun Qin, Tianhua Xia, Sai Qian Zhang
2025	J	`jnl`	Huff-LLM: End-to-End Lossless Compression for Efficient LLM Inference. CoRR Patrick Yubeaton, Tareq Mahmoud, Shehab Naga, Pooria Taheri, Tianhua Xia, Arun George, Yasmein Khalil, Sai Qian Zhang, Siddharth Joshi, Chinmay Hegde, Siddharth Garg
2025	A*	`conf`	Kelle: Co-design KV Caching and eDRAM for Efficient LLM Serving in Edge Computing. MICRO Tianhua Xia, Sai Qian Zhang
2025	J	`jnl`	Kelle: Co-design KV Caching and eDRAM for Efficient LLM Serving in Edge Computing. CoRR Tianhua Xia, Sai Qian Zhang
2025	—	`conf`	Mitigating Sequential Dependencies: A Survey of Algorithms and Systems for Generation-Refinement Frameworks in Autoregressive Models. EMNLP (Findings) Yunhai Hu, Zining Liu, Zhenyuan Dong, Tianfan Peng, Bradley McDanel, Sai Qian Zhang
2025	—	`conf`	PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers. CVPR Workshops Maximilian Augustin, Syed Shakib Sarwar, Mostafa Elhoushi, Yuecheng Li, Sai Qian Zhang, Barbara De Salvo
2025	—	`conf`	PICACHU: Plug-In CGRA Handling Upcoming Nonlinear Operations in LLMs. ASPLOS (2) Jiajun Qin, Tianhua Xia, Cheng Tan, Jeff Zhang, Sai Qian Zhang
2025	—	`conf`	PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding. ACL (Findings) Bradley McDanel, Sai Qian Zhang, Yunhai Hu, Zining Liu
2025	J	`jnl`	PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding. CoRR Bradley McDanel, Sai Qian Zhang, Yunhai Hu, Zining Liu
2025	A*	`conf`	Process Only Where You Look: Hardware and Algorithm Co-optimization for Efficient Gaze-Tracked Foveated Rendering in Virtual Reality. ISCA Haiyu Wang, Wenxuan Liu, Kenneth Chen, Qi Sun, Sai Qian Zhang
2025	J	`jnl`	QSVD: Efficient Low-rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models. CoRR Yutong Wang, Haiyu Wang, Sai Qian Zhang
2025	J	`jnl`	Rethinking the Outlier Distribution in Large Language Models: An In-depth Study. CoRR Rahul Raman, Khushi Sharma, Sai Qian Zhang
2025	J	`jnl`	Speculative Decoding and Beyond: An In-Depth Survey of Techniques. CoRR Yunhai Hu, Zining Liu, Zhenyuan Dong, Tianfan Peng, Bradley McDanel, Sai Qian Zhang
2025	J	`jnl`	Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction. Trans. Mach. Learn. Res. Sai Qian Zhang, Ziyun Li, Chuan Guo, Saeed Mahloujifar, Deeksha Dangwal, G. Edward Suh, Barbara De Salvo, Chiao Liu
2024	A*	`conf`	CAMEL: Co-Designing AI Models and eDRAMs for Efficient On-Device Learning. HPCA Sai Qian Zhang, Thierry Tambe, Nestor Cuevas, Gu-Yeon Wei, David Brooks
2024	J	`jnl`	DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation. CoRR Jingyang Xiang, Sai Qian Zhang
2024	—	`conf`	DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model. EMNLP (Findings) Chao Gao, Sai Qian Zhang
2024	J	`jnl`	DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model. CoRR Chao Gao, Sai Qian Zhang
2024	J	`jnl`	DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing. CoRR Zhenyuan Dong, Sai Qian Zhang
2024	J	`jnl`	Estimating Power, Performance, and Area for On-Sensor Deployment of AR/VR Workloads Using an Analytical Framework. ACM Trans. Design Autom. Electr. Syst. Xiaoyu Sun, Xiaochen Peng, Sai Qian Zhang, Jorge Gomez, Win-San Khwa, Syed Shakib Sarwar, Ziyun Li, Weidong Cao, Zhao Wang, Chiao Liu, Meng-Fan Chang, Barbara De Salvo, Kerem Akarvardar, H.-S. Philip Wong
2024	J	`jnl`	FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality. CoRR Wenxuan Liu, Monde Duinkharjav, Qi Sun, Sai Qian Zhang
2024	J	`jnl`	GazeGen: Gaze-Driven User Interaction for Visual Content Generation. CoRR He-Yen Hsieh, Ziyun Li, Sai Qian Zhang, Wei-Te Mark Ting, Kao-Den Chang, Barbara De Salvo, Chiao Liu, H. T. Kung
2024	J	`jnl`	HQ-DiT: Efficient Diffusion Transformer with FP4 Hybrid Quantization. CoRR Wenxuan Liu, Sai Qian Zhang
2024	A	`conf`	Hyft: A Reconfigurable Softmax Accelerator with Hybrid Numeric Format for both Training and Inference. ISLPED Tianhua Xia, Sai Qian Zhang
2024	A	`conf`	JointNF: Enhancing DNN Performance through Adaptive N: M Pruning across both Weight and Activation. ISLPED Sai Qian Zhang, Thierry Tambe, Gu-Yeon Wei, David Brooks
2024	—	`conf`	Learning Client Selection Strategy for Federated Learning across Heterogeneous Mobile Devices. ISQED Sai Qian Zhang, Jieyu Lin, Qi Zhang, Yu-Jia Chen
2024	B	`conf`	Murmuration: On-the-fly DNN Adaptation for SLO-Aware Distributed Inference in Dynamic Edge Environments. ICPP Jieyu Lin, Minghao Li, Sai Qian Zhang, Alberto Leon-Garcia
2024	J	`jnl`	Neural Architecture Search of Hybrid Models for NPU-CIM Heterogeneous AR/VR Devices. CoRR Yiwei Zhao, Ziyun Li, Win-San Khwa, Xiaoyu Sun, Sai Qian Zhang, Syed Shakib Sarwar, Kleber Hugo Stangherlin, Yi-Lun Lu, Jorge Tomás Gómez, Jae-sun Seo, Phillip B. Gibbons, Barbara De Salvo, Chiao Liu
2024	J	`jnl`	PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a resource-limited Context. CoRR Maximilian Augustin, Syed Shakib Sarwar, Mostafa Elhoushi, Sai Qian Zhang, Yuecheng Li, Barbara De Salvo
2024	J	`jnl`	Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey. CoRR Zeyu Han, Chao Gao, Jinyang Liu, Jeff Zhang, Sai Qian Zhang
2024	J	`jnl`	Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey. Trans. Mach. Learn. Res. Zeyu Han, Chao Gao, Jinyang Liu, Jeff Zhang, Sai Qian Zhang
2024	—	`conf`	Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design. MLCAD Andre Nakkab, Sai Qian Zhang, Ramesh Karri, Siddharth Garg
2024	J	`jnl`	Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design. CoRR Andre Nakkab, Sai Qian Zhang, Ramesh Karri, Siddharth Garg
2024	—	`conf`	T3M: Text Guided 3D Human Motion Synthesis from Speech. NAACL-HLT (Findings) Wenshuo Peng, Kaipeng Zhang, Sai Qian Zhang
2024	J	`jnl`	T3M: Text Guided 3D Human Motion Synthesis from Speech. CoRR Wenshuo Peng, Kaipeng Zhang, Sai Qian Zhang
2024	J	`jnl`	Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction. CoRR Sai Qian Zhang, Ziyun Li, Chuan Guo, Saeed Mahloujifar, Deeksha Dangwal, G. Edward Suh, Barbara De Salvo, Chiao Liu
2024	—	`conf`	sLLM: Accelerating LLM Inference using Semantic Load Balancing with Shared Memory Data Structures. ISQED Jieyu Lin, Sai Qian Zhang, Alberto Leon-Garcia
2023	J	`jnl`	BIM: Block-Wise Self-Supervised Learning with Masked Image Modeling. CoRR YiXuan Luo, Mengye Ren, Sai Qian Zhang
2023	J	`jnl`	CAMEL: Co-Designing AI Models and Embedded DRAMs for Efficient On-Device Learning. CoRR Sai Qian Zhang, Thierry Tambe, Nestor Cuevas, Gu-Yeon Wei, David Brooks
2023	J	`jnl`	Softmax Acceleration with Adaptive Numeric Format for both Training and Inference. CoRR Tianhua Xia, Sai Qian Zhang
2022	A*	`conf`	A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning. AAAI Sai Qian Zhang, Jieyu Lin, Qi Zhang
2022	J	`jnl`	A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning. CoRR Sai Qian Zhang, Jieyu Lin, Qi Zhang
2022	A*	`conf`	FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding. HPCA Sai Qian Zhang, Bradley McDanel, H. T. Kung
2022	—	`conf`	SphereFed: Hyperspherical Federated Learning. ECCV (26) Xin Dong, Sai Qian Zhang, Ang Li, H. T. Kung
2022	J	`jnl`	SphereFed: Hyperspherical Federated Learning. CoRR Xin Dong, Sai Qian Zhang, Ang Li, H. T. Kung
2021	J	`jnl`	FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding. CoRR Sai Qian Zhang, Bradley McDanel, H. T. Kung
2021	C	`conf`	Saturation RRAM Leveraging Bit-Level Sparsity Resulting from Term Quantization. ISCAS Bradley McDanel, Sai Qian Zhang, H. T. Kung
2021	A*	`conf`	Training for multi-resolution inference using reusable quantization terms. ASPLOS Sai Qian Zhang, Bradley McDanel, H. T. Kung, Xin Dong
2020	B	`conf`	Adaptive Distributed Convolutional Neural Network Inference at the Network Edge with ADCNN. ICPP Sai Qian Zhang, Jieyu Lin, Qi Zhang
2020	—	`conf`	On the Robustness of Cooperative Multi-Agent Reinforcement Learning. SP (Workshops) Jieyu Lin, Kristina Dzeparoska, Sai Qian Zhang, Alberto Leon-Garcia, Nicolas Papernot
2020	J	`jnl`	On the Robustness of Cooperative Multi-Agent Reinforcement Learning. CoRR Jieyu Lin, Kristina Dzeparoska, Sai Qian Zhang, Alberto Leon-Garcia, Nicolas Papernot
2020	A*	`conf`	RTN: Reparameterized Ternary Network. AAAI Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang
2020	A*	`conf`	Succinct and Robust Multi-Agent Communication With Temporal Message Control. NeurIPS Sai Qian Zhang, Qi Zhang, Jieyu Lin
2020	J	`jnl`	Succinct and Robust Multi-Agent Communication With Temporal Message Control. CoRR Sai Qian Zhang, Jieyu Lin, Qi Zhang
2020	J	`jnl`	Term Revealing: Furthering Quantization at Run Time on Quantized DNNs. CoRR H. T. Kung, Bradley McDanel, Sai Qian Zhang
2020	A	`conf`	Term quantization: furthering quantization at run time. SC Hsiang-Tsung Kung, Bradley McDanel, Sai Qian Zhang
2019	A*	`conf`	Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control. NeurIPS Sai Qian Zhang, Qi Zhang, Jieyu Lin
2019	J	`jnl`	Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control. CoRR Sai Qian Zhang, Qi Zhang, Jieyu Lin
2019	J	`jnl`	Full-stack Optimization for Accelerating CNNs with FPGA Validation. CoRR Bradley McDanel, Sai Qian Zhang, H. T. Kung, Xin Dong
2019	A	`conf`	Full-stack optimization for accelerating CNNs using powers-of-two weights with FPGA validation. ICS Bradley McDanel, Sai Qian Zhang, H. T. Kung, Xin Dong
2019	—	`conf`	Maestro: A Memory-on-Logic Architecture for Coordinated Parallel Use of Many Systolic Arrays. ASAP H. T. Kung, Bradley McDanel, Sai Qian Zhang, Xin Dong, Chih-Chiang Chen
2019	A*	`conf`	Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization. ASPLOS H. T. Kung, Bradley McDanel, Sai Qian Zhang
2019	J	`jnl`	RTN: Reparameterized Ternary Network. CoRR Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang
2019	C	`conf`	Systolic Building Block for Logic-on-Logic 3D-IC Implementations of Convolutional Neural Networks. ISCAS H. T. Kung, Bradley McDanel, Sai Qian Zhang, C. T. Wang, Jin Cai, C. Y. Chen, Victor C. Y. Chang, M. F. Chen, Jack Yuan-Chen Sun, Douglas Yu
2018	—	`conf`	A Machine Learning Assisted Cell Selection Method for Drones in Cellular Networks. SPAWC Sai Qian Zhang, Feng Xue, Nageen Himayat, Shilpa Talwar, H. T. Kung
2018	B	`conf`	Adaptive Tiling: Applying Fixed-size Systolic Arrays To Sparse Convolutional Neural Networks. ICPR H. T. Kung, Bradley McDanel, Sai Qian Zhang
2018	J	`jnl`	InferBeam: A Fast Beam Alignment Protocol for Millimeter-wave Networking. CoRR Sai Qian Zhang, H. T. Kung, Youngjune Gwon
2018	—	`conf`	Mapping Systolic Arrays onto 3D Circuit Structures: Accelerating Convolutional Neural Network Inference. SiPS H. T. Kung, Bradley McDanel, Sai Qian Zhang
2018	J	`jnl`	Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization. CoRR H. T. Kung, Bradley McDanel, Sai Qian Zhang
2017	J	`jnl`	TCAM space-efficient routing in a software defined network. Comput. Networks Sai Qian Zhang, Qi Zhang, Ali Tizghadam, Byungchul Park, Hadi Bannazadeh, Raouf Boutaba, Alberto Leon-Garcia
2016	B	`conf`	Joint NFV placement and routing for multicast service on SDN. NOMS Sai Qian Zhang, Ali Tizghadam, Byungchul Park, Hadi Bannazadeh, Alberto Leon-Garcia
2016	A	`conf`	Sector: TCAM Space Aware Routing on SDN. ITC Sai Qian Zhang, Qi Zhang, Ali Tizghadam, Byungchul Park, Hadi Bannazadeh, Raouf Boutaba, Alberto Leon-Garcia
2015	A	`conf`	Aurora: Adaptive Block Replication in Distributed File Systems. ICDCS Qi Zhang, Sai Qian Zhang, Alberto Leon-Garcia, Raouf Boutaba
2015	B	`conf`	Fast Network Flow Resumption for Live Virtual Machine Migration on SDN. ICNP Sai Qian Zhang, Pouya Yasrebi, Ali Tizghadam, Hadi Bannazadeh, Alberto Leon-Garcia
2015	B	`conf`	Kaleidoscope: Real-time content delivery in software defined infrastructures. IM Qi Zhang, Sai Qian Zhang, Jieyu Lin, Hadi Bannazadeh, Alberto Leon-Garcia
2015	—	`conf`	Network Function Virtualization enabled multicast routing on SDN. ICC Sai Qian Zhang, Qi Zhang, Hadi Bannazadeh, Alberto Leon-Garcia
2015	J	`jnl`	Routing Algorithms for Network Function Virtualization Enabled Multicast Topology on SDN. IEEE Trans. Netw. Serv. Manag. Sai Qian Zhang, Qi Zhang, Hadi Bannazadeh, Alberto Leon-Garcia