Network Function Virtualization enabled multicast routing on SDN. - Sai Qian Zhang; Qi Zhang 008; Hadi Bannazadeh; Alberto Leon-Garcia (ICC, 2015)

Aurora: Adaptive Block Replication in Distributed File Systems. - Qi Zhang 008; Sai Qian Zhang; Alberto Leon-Garcia; Raouf Boutaba (ICDCS, 2015)

Fast Network Flow Resumption for Live Virtual Machine Migration on SDN. - Sai Qian Zhang; Pouya Yasrebi; Ali Tizghadam; Hadi Bannazadeh; Alberto Leon-Garcia (ICNP, 2015)

Kaleidoscope: Real-time content delivery in software defined infrastructures. - Qi Zhang 008; Sai Qian Zhang; Jieyu Lin; Hadi Bannazadeh; Alberto Leon-Garcia (IM, 2015)

Routing Algorithms for Network Function Virtualization Enabled Multicast Topology on SDN. - Sai Qian Zhang; Qi Zhang 008; Hadi Bannazadeh; Alberto Leon-Garcia (IEEE Trans. Netw. Serv. Manag., 2015)

Joint NFV placement and routing for multicast service on SDN. - Sai Qian Zhang; Ali Tizghadam; Byungchul Park; Hadi Bannazadeh; Alberto Leon-Garcia (NOMS, 2016)

Sector: TCAM Space Aware Routing on SDN. - Sai Qian Zhang; Qi Zhang 008; Ali Tizghadam; Byungchul Park; Hadi Bannazadeh; Raouf Boutaba; Alberto Leon-Garcia (ITC, 2016)

TCAM space-efficient routing in a software defined network. - Sai Qian Zhang; Qi Zhang 008; Ali Tizghadam; Byungchul Park; Hadi Bannazadeh; Raouf Boutaba; Alberto Leon-Garcia (Comput. Networks, 2017)

Adaptive Tiling: Applying Fixed-size Systolic Arrays To Sparse Convolutional Neural Networks. - H. T. Kung 001; Bradley McDanel; Sai Qian Zhang (ICPR, 2018)

Mapping Systolic Arrays onto 3D Circuit Structures: Accelerating Convolutional Neural Network Inference. - H. T. Kung 001; Bradley McDanel; Sai Qian Zhang (SiPS, 2018)

A Machine Learning Assisted Cell Selection Method for Drones in Cellular Networks. - Sai Qian Zhang; Feng Xue; Nageen Himayat; Shilpa Talwar; H. T. Kung 001 (SPAWC, 2018)

InferBeam: A Fast Beam Alignment Protocol for Millimeter-wave Networking. - Sai Qian Zhang; H. T. Kung 001; Youngjune Gwon (CoRR, 2018)

Maestro: A Memory-on-Logic Architecture for Coordinated Parallel Use of Many Systolic Arrays. - H. T. Kung 001; Bradley McDanel; Sai Qian Zhang; Xin Dong 009; Chih-Chiang Chen (ASAP, 2019)

Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization. - H. T. Kung 001; Bradley McDanel; Sai Qian Zhang (ASPLOS, 2019)

Full-stack optimization for accelerating CNNs using powers-of-two weights with FPGA validation. - Bradley McDanel; Sai Qian Zhang; H. T. Kung 001; Xin Dong 009 (ICS, 2019)

Systolic Building Block for Logic-on-Logic 3D-IC Implementations of Convolutional Neural Networks. - H. T. Kung 001; 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 (ISCAS, 2019)

Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control. - Sai Qian Zhang; Qi Zhang 008; Jieyu Lin (NeurIPS, 2019)

Full-stack Optimization for Accelerating CNNs with FPGA Validation. - Bradley McDanel; Sai Qian Zhang; H. T. Kung 001; Xin Dong 009 (CoRR, 2019)

RTN: Reparameterized Ternary Network. - Yuhang Li 001; Xin Dong 009; Sai Qian Zhang; Haoli Bai; Yuanpeng Chen; Wei Wang 059 (AAAI, 2020)

Adaptive Distributed Convolutional Neural Network Inference at the Network Edge with ADCNN. - Sai Qian Zhang; Jieyu Lin; Qi Zhang 008 (ICPP, 2020)

Succinct and Robust Multi-Agent Communication With Temporal Message Control. - Sai Qian Zhang; Qi Zhang 008; Jieyu Lin (NeurIPS, 2020)

Term quantization: furthering quantization at run time. - Hsiang-Tsung Kung 001; Bradley McDanel; Sai Qian Zhang (SC, 2020)

On the Robustness of Cooperative Multi-Agent Reinforcement Learning. - Jieyu Lin; Kristina Dzeparoska; Sai Qian Zhang; Alberto Leon-Garcia; Nicolas Papernot (SP (Workshops), 2020)

Term Revealing: Furthering Quantization at Run Time on Quantized DNNs. - H. T. Kung 001; Bradley McDanel; Sai Qian Zhang (CoRR, 2020)

Training for multi-resolution inference using reusable quantization terms. - Sai Qian Zhang; Bradley McDanel; H. T. Kung 001; Xin Dong 009 (ASPLOS, 2021)

Saturation RRAM Leveraging Bit-Level Sparsity Resulting from Term Quantization. - Bradley McDanel; Sai Qian Zhang; H. T. Kung 001 (ISCAS, 2021)

A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning. - Sai Qian Zhang; Jieyu Lin; Qi Zhang 008 (AAAI, 2022)

SphereFed: Hyperspherical Federated Learning. - Xin Dong 009; Sai Qian Zhang; Ang Li; H. T. Kung 001 (ECCV (26), 2022)

FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding. - Sai Qian Zhang; Bradley McDanel; H. T. Kung 001 (HPCA, 2022)

CAMEL: Co-Designing AI Models and Embedded DRAMs for Efficient On-Device Learning. - Sai Qian Zhang; Thierry Tambe; Nestor Cuevas; Gu-Yeon Wei; David Brooks 001 (CoRR, 2023)

Softmax Acceleration with Adaptive Numeric Format for both Training and Inference. - Tianhua Xia; Sai Qian Zhang (CoRR, 2023)

BIM: Block-Wise Self-Supervised Learning with Masked Image Modeling. - Yixuan Luo; Mengye Ren; Sai Qian Zhang (CoRR, 2023)

DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model. - Chao Gao; Sai Qian Zhang (EMNLP (Findings), 2024)

CAMEL: Co-Designing AI Models and eDRAMs for Efficient On-Device Learning. - Sai Qian Zhang; Thierry Tambe; Nestor Cuevas; Gu-Yeon Wei; David Brooks 001 (HPCA, 2024)

Murmuration: On-the-fly DNN Adaptation for SLO-Aware Distributed Inference in Dynamic Edge Environments. - Jieyu Lin; Minghao Li; Sai Qian Zhang; Alberto Leon-Garcia (ICPP, 2024)

Hyft: A Reconfigurable Softmax Accelerator with Hybrid Numeric Format for both Training and Inference. - Tianhua Xia; Sai Qian Zhang (ISLPED, 2024)

JointNF: Enhancing DNN Performance through Adaptive N: M Pruning across both Weight and Activation. - Sai Qian Zhang; Thierry Tambe; Gu-Yeon Wei; David Brooks 001 (ISLPED, 2024)

sLLM: Accelerating LLM Inference using Semantic Load Balancing with Shared Memory Data Structures. - Jieyu Lin; Sai Qian Zhang; Alberto Leon-Garcia (ISQED, 2024)

Learning Client Selection Strategy for Federated Learning across Heterogeneous Mobile Devices. - Sai Qian Zhang; Jieyu Lin; Qi Zhang; Yu-Jia Chen (ISQED, 2024)

Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design. - Andre Nakkab; Sai Qian Zhang; Ramesh Karri; Siddharth Garg (MLCAD, 2024)

T3M: Text Guided 3D Human Motion Synthesis from Speech. - Wenshuo Peng; Kaipeng Zhang; Sai Qian Zhang (NAACL-HLT (Findings), 2024)

HQ-DiT: Efficient Diffusion Transformer with FP4 Hybrid Quantization. - Wenxuan Liu; Sai Qian Zhang (CoRR, 2024)

Neural Architecture Search of Hybrid Models for NPU-CIM Heterogeneous AR/VR Devices. - Yiwei Zhao; Ziyun Li; Win-San Khwa; Xiaoyu Sun 001; Sai Qian Zhang; Syed Shakib Sarwar; Kleber Hugo Stangherlin; Yi-Lun Lu; Jorge Tomás Gómez; Jae-Sun Seo; Phillip B. Gibbons; Barbara De Salvo; et al. (CoRR, 2024)

PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a resource-limited Context. - Maximilian Augustin; Syed Shakib Sarwar; Mostafa Elhoushi; Sai Qian Zhang; Yuecheng Li; Barbara De Salvo (CoRR, 2024)

GazeGen: Gaze-Driven User Interaction for Visual Content Generation. - He-Yen Hsieh; Ziyun Li; Sai Qian Zhang; Wei-Te Mark Ting; Kao-Den Chang; Barbara De Salvo; Chiao Liu; H. T. Kung 001 (CoRR, 2024)

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation. - Jingyang Xiang; Sai Qian Zhang (CoRR, 2024)

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Optimized Foveated Rendering System Performance in Virtual Reality. - Wenxuan Liu; Monde Duinkharjav; Qi Sun; Sai Qian Zhang (CoRR, 2024)

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey. - Zeyu Han; Chao Gao; Jinyang Liu; Jeff Zhang 001; Sai Qian Zhang (Trans. Mach. Learn. Res., 2024)

Estimating Power, Performance, and Area for On-Sensor Deployment of AR/VR Workloads Using an Analytical Framework. - Xiaoyu Sun 001; Xiaochen Peng; Sai Qian Zhang; Jorge Gomez 002; Win-San Khwa; Syed Shakib Sarwar; Ziyun Li; Weidong Cao 001; Zhao Wang; Chiao Liu; Meng-Fan Chang; Barbara De Salvo; et al. (ACM Trans. Design Autom. Electr. Syst., 2024)

PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding. - Bradley McDanel; Sai Qian Zhang; Yunhai Hu; Zining Liu (ACL (Findings), 2025)

H4H: Hybrid Convolution-Transformer Architecture Search for NPU-CIM Heterogeneous Systems for AR/VR Applications. - 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 (ASP-DAC, 2025)

PICACHU: Plug-In CGRA Handling Upcoming Nonlinear Operations in LLMs. - Jiajun Qin; Tianhua Xia; Cheng Tan 002; Jeff Zhang 001; Sai Qian Zhang (ASPLOS (2), 2025)

PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers. - Maximilian Augustin; Syed Shakib Sarwar; Mostafa Elhoushi; Yuecheng Li; Sai Qian Zhang; Barbara De Salvo (CVPR Workshops, 2025)

Foveated Instance Segmentation. - Hongyi Zeng; Wenxuan Liu; Tianhua Xia; Jinhui Chen; Ziyun Li; Sai Qian Zhang (CVPR, 2025)

HAAN: A Holistic Approach for Accelerating Normalization Operations in Large Language Models. - Tianfan Peng; Tianhua Xia; Jiajun Qin; Sai Qian Zhang (DATE, 2025)

H4H: Hybrid Convolution-Transformer Architecture Search for NPU-CIM Heterogeneous Systems for AR/VR Applications (Abstract). - 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 (HOPC@SPAA, 2025)

Process Only Where You Look: Hardware and Algorithm Co-optimization for Efficient Gaze-Tracked Foveated Rendering in Virtual Reality. - Haiyu Wang; Wenxuan Liu; Kenneth Chen; Qi Sun 003; Sai Qian Zhang (ISCA, 2025)

FrameVoting: A Robust and Fast Method of Using Gaze Estimations to Identify Objects of Interest. - Kao-Den Chang; He-Yen Hsieh; H. T. Kung 001; Ziyun Li; Sai Qian Zhang (ISCAS, 2025)

DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing. - Zhenyuan Dong; Sai Qian Zhang (WACV, 2025)

Unlocking Visual Secrets: Inverting Features with Diffusion Priors for Image Reconstruction. - Sai Qian Zhang; Ziyun Li; Chuan Guo 001; Saeed Mahloujifar; Deeksha Dangwal; G. Edward Suh; Barbara De Salvo; Chiao Liu (Trans. Mach. Learn. Res., 2025)

Huff-LLM: End-to-End Lossless Compression for Efficient LLM Inference. - Patrick Yubeaton; Tareq Mahmoud; Shehab Naga; Pooria Taheri; Tianhua Xia; Arun George; Yasmein Khalil; Sai Qian Zhang; Siddharth Joshi 001; Chinmay Hegde; Siddharth Garg (CoRR, 2025)

Speculative Decoding and Beyond: An In-Depth Survey of Techniques. - Yunhai Hu; Zining Liu; Zhenyuan Dong; Tianfan Peng; Bradley McDanel; Sai Qian Zhang (CoRR, 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 (CoRR, 2025)

Rethinking the Outlier Distribution in Large Language Models: An In-depth Study. - Rahul Raman; Khushi Sharma; Sai Qian Zhang (CoRR, 2025)

FovealNet: Advancing AI-Driven Gaze Tracking Solutions for Efficient Foveated Rendering in Virtual Reality. - Wenxuan Liu; Budmonde Duinkharjav; Qi Sun 003; Sai Qian Zhang (IEEE Trans. Vis. Comput. Graph., 2025)

A Task-Oriented Deep Learning Approach for Human Localization. - Yu-Jia Chen; Wei Chen; Sai Qian Zhang; Hai-Yan Huang; H. T. Kung 001 (IEEE Trans. Cogn. Dev. Syst., 2025)

A3FR: Agile 3D Gaussian Splatting with Incremental Gaze Tracked Foveated Rendering in Virtual Reality. - Shuo Xin; Haiyu Wang; Sai Qian Zhang (CoRR, 2025)