User-aware partitioning algorithm for mobile cloud computing based on maximum graph cuts. - Jianwei Niu 002; Shihao Wang; Wei Niu 002; Mohammed Atiquzzaman (Comput. Networks, 2017)

26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone. - Wei Niu 002; Xiaolong Ma; Yanzhi Wang; Bin Ren (CoRR, 2019)

PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. - Xiaolong Ma; Fu-Ming Guo; Wei Niu 002; Xue Lin 001; Jian Tang 008; Kaisheng Ma; Bin Ren; Yanzhi Wang (AAAI, 2020)

PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. - Wei Niu 002; Xiaolong Ma; Sheng Lin 001; Shihao Wang; Xuehai Qian; Xue Lin 001; Yanzhi Wang; Bin Ren (ASPLOS, 2020)

RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. - Peiyan Dong; Siyue Wang; Wei Niu 002; Chengming Zhang 006; Sheng Lin 001; Zhengang Li; Yifan Gong 004; Bin Ren; Xue Lin 001; Dingwen Tao (DAC, 2020)

An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. - Xiaolong Ma; Wei Niu 002; Tianyun Zhang; Sijia Liu 001; Sheng Lin 001; Hongjia Li; Wujie Wen; Xiang Chen 010; Jian Tang 008; Kaisheng Ma; Bin Ren; Yanzhi Wang (ECCV (13), 2020)

A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework. - Yifan Gong 004; Zheng Zhan 001; Zhengang Li; Wei Niu 002; Xiaolong Ma; Wenhao Wang 001; Bin Ren; Caiwen Ding; Xue Lin 001; Xiaolin Xu 001; Yanzhi Wang (ACM Great Lakes Symposium on VLSI, 2020)

Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. - Wei Niu 002; Pu Zhao 001; Zheng Zhan 001; Xue Lin 001; Yanzhi Wang; Bin Ren (IJCAI, 2020)

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices. - Xiaolong Ma; Wei Niu 002; Tianyun Zhang; Sijia Liu 001; Fu-Ming Guo; Sheng Lin 001; Hongjia Li; Xiang Chen 010; Jian Tang 008; Kaisheng Ma; Bin Ren; Yanzhi Wang (CoRR, 2020)

BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method. - Xiaolong Ma; Zhengang Li; Yifan Gong 004; Tianyun Zhang; Wei Niu 002; Zheng Zhan 001; Pu Zhao 001; Jian Tang 008; Xue Lin 001; Bin Ren; Yanzhi Wang (CoRR, 2020)

RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. - Peiyan Dong; Siyue Wang; Wei Niu 002; Chengming Zhang 006; Sheng Lin 001; Zhengang Li; Yifan Gong 004; Bin Ren; Xue Lin 001; Yanzhi Wang; Dingwen Tao (CoRR, 2020)

A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework. - Zheng Zhan 001; Yifan Gong 004; Zhengang Li; Pu Zhao 001; Xiaolong Ma; Wei Niu 002; Xiaolin Xu 001; Bin Ren; Yanzhi Wang; Xue Lin 001 (CoRR, 2020)

Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. - Wei Niu 002; Mengshu Sun; Zhengang Li; Jou-An Chen; Jiexiong Guan; Xipeng Shen; Yanzhi Wang; Xue Lin 001; Bin Ren (CoRR, 2020)

Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization. - Wei Niu 002; Zhenglun Kong; Geng Yuan; Weiwen Jiang; Jiexiong Guan; Caiwen Ding; Pu Zhao 001; Sijia Liu 001; Bin Ren; Yanzhi Wang (CoRR, 2020)

An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning. - Chengming Zhang 006; Geng Yuan; Wei Niu 002; Jiannan Tian; Sian Jin; Donglin Zhuang; Zhe Jiang 001; Yanzhi Wang; Bin Ren; Shuaiwen Leon Song; Dingwen Tao (CoRR, 2020)

6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. - Zhengang Li; Geng Yuan; Wei Niu 002; Yanyu Li; Pu Zhao 001; Yuxuan Cai 001; Xuan Shen; Zheng Zhan 001; Zhenglun Kong; Qing Jin; Zhiyu Chen 003; Sijia Liu 001; et al. (CoRR, 2020)

Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device. - Pu Zhao 001; Wei Niu 002; Geng Yuan; Yuxuan Cai 001; Hsin-Hsuan Sung; Wujie Wen; Sijia Liu 001; Xipeng Shen; Bin Ren; Yanzhi Wang; Xue Lin 001 (CoRR, 2020)

YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design. - Yuxuan Cai 001; Hongjia Li; Geng Yuan; Wei Niu 002; Yanyu Li; Xulong Tang; Bin Ren; Yanzhi Wang (AAAI, 2021)

A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices. - Yuxuan Cai 001; Geng Yuan; Hongjia Li; Wei Niu 002; Yanyu Li; Xulong Tang; Bin Ren; Yanzhi Wang (AAAI, 2021)

RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. - Wei Niu 002; Mengshu Sun; Zhengang Li; Jou-An Chen; Jiexiong Guan; Xipeng Shen; Yanzhi Wang; Sijia Liu 001; Xue Lin 001; Bin Ren (AAAI, 2021)

Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications. - Hongjia Li; Geng Yuan; Wei Niu 002; Yuxuan Cai 001; Mengshu Sun; Zhengang Li; Bin Ren; Xue Lin 001; Yanzhi Wang (ASP-DAC, 2021)

NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. - Zhengang Li; Geng Yuan; Wei Niu 002; Pu Zhao 001; Yanyu Li; Yuxuan Cai 001; Xuan Shen; Zheng Zhan 001; Zhenglun Kong; Qing Jin; Zhiyu Chen 003; Sijia Liu 001; et al. (CVPR, 2021)

Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles. - Pu Zhao 001; Geng Yuan; Yuxuan Cai 001; Wei Niu 002; Qi Liu 017; Wujie Wen; Bin Ren; Yanzhi Wang; Xue Lin 001 (DAC, 2021)

HEALS: A Parallel eALS Recommendation System on CPU/GPU Heterogeneous Platforms. - Qihan Wang; Wei Niu 002; Li Chen; Ruoming Jin; Bin Ren (HiPC, 2021)

Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. - Zheng Zhan 001; Yifan Gong 004; Pu Zhao 001; Geng Yuan; Wei Niu 002; Yushu Wu; Tianyun Zhang; Malith Jayaweera; David R. Kaeli; Bin Ren; Xue Lin 001; Yanzhi Wang (ICCV, 2021)

ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. - Chengming Zhang 006; Geng Yuan; Wei Niu 002; Jiannan Tian; Sian Jin; Donglin Zhuang; Zhe Jiang 001; Yanzhi Wang; Bin Ren; Shuaiwen Leon Song; Dingwen Tao (ICS, 2021)

A Compression-Compilation Framework for On-mobile Real-time BERT Applications. - Wei Niu 002; Zhenglun Kong; Geng Yuan; Weiwen Jiang; Jiexiong Guan; Caiwen Ding; Pu Zhao 001; Sijia Liu 001; Bin Ren; Yanzhi Wang (IJCAI, 2021)

Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices. - Xuan Shen; Geng Yuan; Wei Niu 002; Xiaolong Ma; Jiexiong Guan; Zhengang Li; Bin Ren; Yanzhi Wang (IJCAI, 2021)

MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. - Geng Yuan; Xiaolong Ma; Wei Niu 002; Zhengang Li; Zhenglun Kong; Ning Liu 007; Yifan Gong 004; Zheng Zhan 001; Chaoyang He 001; Qing Jin; Siyue Wang; Minghai Qin; et al. (NeurIPS, 2021)

DNNFusion: accelerating deep neural networks execution with advanced operator fusion. - Wei Niu 002; Jiexiong Guan; Yanzhi Wang; Gagan Agrawal; Bin Ren (PLDI, 2021)

Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. - Geng Yuan; Peiyan Dong; Mengshu Sun; Wei Niu 002; Zhengang Li; Yuxuan Cai 001; Jun Liu 075; Weiwen Jiang; Xue Lin 001; Bin Ren; Xulong Tang; Yanzhi Wang (RTAS, 2021)

Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search. - Pu Zhao 001; Wei Niu 002; Geng Yuan; Yuxuan Cai 001; Hsin-Hsuan Sung; Shaoshan Liu; Sijia Liu 001; Xipeng Shen; Bin Ren; Yanzhi Wang; Xue Lin 001 (RTAS, 2021)

CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design. - Hui Guan 001; Shaoshan Liu; Xiaolong Ma; Wei Niu 002; Bin Ren; Xipeng Shen; Yanzhi Wang; Pu Zhao 001 (Commun. ACM, 2021)

Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search. - Pu Zhao 001; Wei Niu 002; Geng Yuan; Yuxuan Cai 001; Bin Ren; Yanzhi Wang; Xue Lin 001 (CoRR, 2021)

Enabling Level-4 Autonomous Driving on a Single 1 Off-the-Shelf Card. - Hsin-Hsuan Sung; Yuanchao Xu 001; Jiexiong Guan; Wei Niu 002; Shaoshan Liu; Bin Ren; Yanzhi Wang; Xipeng Shen (CoRR, 2021)

SPViT: Enabling Faster Vision Transformers via Soft Token Pruning. - Zhenglun Kong; Peiyan Dong; Xiaolong Ma; Xin Meng; Wei Niu 002; Mengshu Sun; Bin Ren; Minghai Qin; Hao Tang 005; Yanzhi Wang (CoRR, 2021)

SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning. - Zhenglun Kong; Peiyan Dong; Xiaolong Ma; Xin Meng; Wei Niu 002; Mengshu Sun; Xuan Shen; Geng Yuan; Bin Ren; Hao Tang 005; Minghai Qin; Yanzhi Wang (ECCV (11), 2022)

Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. - Yushu Wu; Yifan Gong 004; Pu Zhao 001; Yanyu Li; Zheng Zhan 001; Wei Niu 002; Hao Tang 005; Minghai Qin; Bin Ren; Yanzhi Wang (ECCV (19), 2022)

Real-Time Portrait Stylization on the Edge. - Yanyu Li; Xuan Shen; Geng Yuan; Jiexiong Guan; Wei Niu 002; Hao Tang 005; Bin Ren; Yanzhi Wang (IJCAI, 2022)

BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning. - Xiaolong Ma; Geng Yuan; Zhengang Li; Yifan Gong 004; Tianyun Zhang; Wei Niu 002; Zheng Zhan 001; Pu Zhao 001; Ning Liu 007; Jian Tang 008; Xue Lin 001; Bin Ren; et al. (ISQED, 2022)

GCD2: A Globally Optimizing Compiler for Mapping DNNs to Mobile DSPs. - Wei Niu 002; Jiexiong Guan; Xipeng Shen; Yanzhi Wang; Gagan Agrawal; Bin Ren (MICRO, 2022)

SparCL: Sparse Continual Learning on the Edge. - Zifeng Wang 002; Zheng Zhan 001; Yifan Gong 004; Geng Yuan; Wei Niu 002; Tong Jian; Bin Ren; Stratis Ioannidis; Yanzhi Wang; Jennifer G. Dy (NeurIPS, 2022)

Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card. - Hsin-Hsuan Sung; Yuanchao Xu 001; Jiexiong Guan; Wei Niu 002; Bin Ren; Yanzhi Wang; Shaoshan Liu; Xipeng Shen (RTAS, 2022)

GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity. - Wei Niu 002; Zhengang Li; Xiaolong Ma; Peiyan Dong; Gang Zhou; Xuehai Qian; Xue Lin 001; Yanzhi Wang; Bin Ren (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. - Yifan Gong 004; Geng Yuan; Zheng Zhan 001; Wei Niu 002; Zhengang Li; Pu Zhao 001; Yuxuan Cai 001; Sijia Liu 001; Bin Ren; Xue Lin 001; Xulong Tang; Yanzhi Wang (ACM Trans. Design Autom. Electr. Syst., 2022)

Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. - Geng Yuan; Peiyan Dong; Mengshu Sun; Wei Niu 002; Zhengang Li; Yuxuan Cai 001; Yanyu Li; Jun Liu 075; Weiwen Jiang; Xue Lin 001; Bin Ren; Xulong Tang; et al. (ACM Trans. Embed. Comput. Syst., 2022)

Towards Real-Time Segmentation on the Edge. - Yanyu Li; Changdi Yang; Pu Zhao 001; Geng Yuan; Wei Niu 002; Jiexiong Guan; Hao Tang 005; Minghai Qin; Qing Jin; Bin Ren; Xue Lin 001; Yanzhi Wang (AAAI, 2023)

A Scalable Real-time Semantic Segmentation Network for Autonomous Driving. - Jun Liu 075; Chao Wu 006; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Houbing Herbert Song (AMC-SME, 2023)

Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting. - Gen Li 012; Jie Ji; Minghai Qin; Wei Niu 002; Bin Ren; Fatemeh Afghah; Linke Guo; Xiaolong Ma (CVPR, 2023)

Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge. - Changdi Yang; Pu Zhao 001; Yanyu Li; Wei Niu 002; Jiexiong Guan; Hao Tang 005; Minghai Qin; Bin Ren; Xue Lin 001; Yanzhi Wang (CVPR, 2023)

Decentralized Application-Level Adaptive Scheduling for Multi-Instance DNNs on Open Mobile Devices. - Hsin-Hsuan Sung; Jou-An Chen; Wei Niu 002; Jiexiong Guan; Bin Ren; Xipeng Shen (USENIX ATC, 2023)

Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges. - Fei Dou; Jin Ye 001; Geng Yuan; Qin Lu 002; Wei Niu 002; Haijian Sun; Le Guan; Guoyu Lu; Gengchen Mai; Ninghao Liu; Jin Lu 001; Zhengliang Liu; et al. (CoRR, 2023)

Survey: Exploiting Data Redundancy for Optimization of Deep Learning. - Jou-An Chen; Wei Niu 002; Bin Ren; Yanzhi Wang; Xipeng Shen (ACM Comput. Surv., 2023)

SoD2: Statically Optimizing Dynamic Deep Neural Network Execution. - Wei Niu 002; Gagan Agrawal; Bin Ren (ASPLOS (1), 2024)

SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile. - Wei Niu 002; Md. Musfiqur Rahman Sanim; Zhihao Shu; Jiexiong Guan; Xipeng Shen; Miao Yin; Gagan Agrawal; Bin Ren (ASPLOS (3), 2024)

Data Overfitting for On-device Super-Resolution with Dynamic Algorithm and Compiler Co-design. - Gen Li 012; Zhihao Shu; Jie Ji; Minghai Qin; Fatemeh Afghah; Wei Niu 002; Xiaolong Ma (ECCV (67), 2024)

GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data. - Wenqi Jia 003; Sian Jin; Jinzhen Wang; Wei Niu 002; Dingwen Tao; Miao Yin (FlexScience@HPDC, 2024)

NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization. - Gen Li 012; Lu Yin 006; Jie Ji; Wei Niu 002; Minghai Qin; Bin Ren; Linke Guo; Shiwei Liu 003; Xiaolong Ma (ICLR, 2024)

Exploring Token Pruning in Vision State Space Models. - Zheng Zhan 001; Zhenglun Kong; Yifan Gong 004; Yushu Wu; Zichong Meng; Hangyu Zheng; Xuan Shen; Stratis Ioannidis; Wei Niu 002; Pu Zhao 001; Yanzhi Wang (NeurIPS, 2024)

Fast and Memory-Efficient Video Diffusion Using Streamlined Inference. - Zheng Zhan 001; Yushu Wu; Yifan Gong 004; Zichong Meng; Zhenglun Kong; Changdi Yang; Geng Yuan; Pu Zhao 001; Wei Niu 002; Yanzhi Wang (NeurIPS, 2024)

Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices. - Zhihao Shu; Xiaowei Yu; Zihao Wu 001; Wenqi Jia 003; Yinchen Shi; Miao Yin; Tianming Liu 001; Dajiang Zhu; Wei Niu 002 (NeurIPS, 2024)

EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge. - Xuan Shen; Zhenglun Kong; Changdi Yang; Zhaoyang Han; Lei Lu; Peiyan Dong; Cheng Lyu; Chih-hsiang Li; Xuehang Guo; Zhihao Shu; Wei Niu 002; Miriam Leeser; et al. (CoRR, 2024)

SoD2: Statically Optimizing Dynamic Deep Neural Network. - Wei Niu 002; Gagan Agrawal; Bin Ren (CoRR, 2024)

Efficient Pruning of Large Language Model with Adaptive Estimation Fusion. - Jun Liu 075; Chao Wu 006; Changdi Yang; Hao Tang 005; Haoye Dong; Zhenglun Kong; Geng Yuan; Wei Niu 002; Dong Huang; Yanzhi Wang (CoRR, 2024)

NeurLZ: On Enhancing Lossy Compression Performance based on Error-Controlled Neural Learning for Scientific Data. - Wenqi Jia 003; Youyuan Liu; Zhewen Hu; Jinzhen Wang; Boyuan Zhang; Wei Niu 002; Junzhou Huang; Stavros Kalafatis; Sian Jin; Miao Yin (CoRR, 2024)

AdaCM2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction. - Yuanbin Man; Ying Huang 008; Chengming Zhang 006; Bingzhe Li; Wei Niu 002; Miao Yin (CoRR, 2024)

Open-Source Acceleration of Stable-Diffusion.cpp. - Jingxu Ng; Cheng Lv; Pu Zhao 001; Wei Niu 002; Juyi Lin; Minzhou Pan; Yun Liang 001; Yanzhi Wang (CoRR, 2024)

Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment. - Jun Liu 075; Zhenglun Kong; Pu Zhao 001; Changdi Yang; Xuan Shen; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Xue Lin 001; Dong Huang; Yanzhi Wang (AAAI, 2025)

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers. - Xuan Shen; Zhao Song 002; Yufa Zhou 001; Bo Chen 029; Yanyu Li; Yifan Gong 004; Kai Zhang 045; Hao Tan 002; Jason Kuen; Henghui Ding; Zhihao Shu; Wei Niu 002; et al. (AAAI, 2025)

AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction. - Yuanbin Man; Ying Huang 008; Chengming Zhang 006; Bingzhe Li; Wei Niu 002; Miao Yin (CVPR, 2025)

QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge. - Xuan Shen; Weize Ma; Jing Liu 001; Changdi Yang; Rui Ding; Quanyi Wang; Henghui Ding; Wei Niu 002; Yanzhi Wang; Pu Zhao 001; Jun Lin; Jiuxiang Gu (CVPR, 2025)

GaussianSpa: An "Optimizing-Sparsifying" Simplification Framework for Compact and High-Quality 3D Gaussian Splatting. - Yangming Zhang; Wenqi Jia 003; Wei Niu 002; Miao Yin (CVPR, 2025)

RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. - Jun Liu 075; Zhenglun Kong; Peiyan Dong; Xuan Shen; Pu Zhao 001; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Xue Lin 001; Dong Huang; Yanzhi Wang (ICASSP, 2025)

Sparse Learning for State Space Models on Mobile. - Xuan Shen; Hangyu Zheng; Yifan Gong 004; Zhenglun Kong; Changdi Yang; Zheng Zhan 001; Yushu Wu; Xue Lin 001; Yanzhi Wang; Pu Zhao 001; Wei Niu 002 (ICLR, 2025)

RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. - Jun Liu 075; Zhenglun Kong; Peiyan Dong; Changdi Yang; Xuan Shen; Pu Zhao 001; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Xue Lin 001; Dong Huang; et al. (CoRR, 2025)

Towards Recognizing Food Types for Unseen Subjects. - Jiexiong Guan; Junjie Wang; Wei Niu 002; Zhen Peng; Shuangquan Wang; Zhenming Liu; Gang Zhou; Bin Ren (ACM Trans. Comput. Heal., 2025)

TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform. - Jun Liu 075; Zhenglun Kong; Pu Zhao 001; Weihao Zeng; Hao Tang 005; Xuan Shen; Changdi Yang; Wenbin Zhang 002; Geng Yuan; Wei Niu 002; Xue Lin 001; Yanzhi Wang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

Structured Agent Distillation for Large Language Model. - Jun Liu 075; Zhenglun Kong; Peiyan Dong; Changdi Yang; Tianqi Li; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Pu Zhao 001; Xue Lin 001; Dong Huang; et al. (CoRR, 2025)

RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory. - Jun Liu 075; Zhenglun Kong; Changdi Yang; Fan Yang; Tianqi Li; Peiyan Dong; Joannah Nanjekye; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Pu Zhao 001; et al. (CoRR, 2025)