Hierarchical resource allocation and consolidation framework in a multi-core server cluster using a Markov decision process model. - Pu Zhao 001; Xue Lin 001; Yanzhi Wang; Shuang Chen 001; Massoud Pedram (IET Cyper-Phys. Syst.: Theory & Appl., 2017)

A deep reinforcement learning framework for optimizing fuel economy of hybrid electric vehicles. - Pu Zhao 001; Yanzhi Wang; Naehyuck Chang; Qi Zhu 002; Xue Lin 001 (ASP-DAC, 2018)

Defending DNN Adversarial Attacks with Pruning and Logits Augmentation. - Siyue Wang; Xiao Wang 028; Shaokai Ye; Pu Zhao 001; Xue Lin 001 (GlobalSIP, 2018)

Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM. - Pu Zhao 001; Kaidi Xu; Tianyun Zhang; Makan Fardad; Yanzhi Wang; Xue Lin 001 (GlobalSIP, 2018)

Defensive dropout for hardening deep neural networks under adversarial attacks. - Siyue Wang; Xiao Wang 028; Pu Zhao 001; Wujie Wen; David R. Kaeli; Peter Chin 001; Xue Lin 001 (ICCAD, 2018)

An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks. - Pu Zhao 001; Sijia Liu 001; Yanzhi Wang; Xue Lin 001 (ACM Multimedia, 2018)

Structured Adversarial Attack: Towards General Implementation and Better Interpretability. - Kaidi Xu; Sijia Liu 001; Pu Zhao 001; Pin-Yu Chen; Huan Zhang 001; Deniz Erdogmus; Yanzhi Wang; Xue Lin 001 (CoRR, 2018)

ADMM attack: an enhanced adversarial attack for deep neural networks with undetectable distortions. - Pu Zhao 001; Kaidi Xu; Sijia Liu 001; Yanzhi Wang; Xue Lin 001 (ASP-DAC, 2019)

Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks. - Pu Zhao 001; Siyue Wang; Cheng Gongye; Yanzhi Wang; Yunsi Fei; Xue Lin 001 (DAC, 2019)

HSIM-DNN: Hardware Simulator for Computation-, Storage- and Power-Efficient Deep Neural Networks. - Mengshu Sun; Pu Zhao 001; Yanzhi Wang; Naehyuck Chang; Xue Lin 001 (ACM Great Lakes Symposium on VLSI, 2019)

On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method. - Pu Zhao 001; Sijia Liu 001; Pin-Yu Chen; Nghia Hoang; Kaidi Xu; Bhavya Kailkhura; Xue Lin 001 (ICCV, 2019)

Structured Adversarial Attack: Towards General Implementation and Better Interpretability. - Kaidi Xu; Sijia Liu 001; Pu Zhao 001; Pin-Yu Chen; Huan Zhang 001; Quanfu Fan; Deniz Erdogmus; Yanzhi Wang; Xue Lin 001 (ICLR (Poster), 2019)

Interpreting Adversarial Examples by Activation Promotion and Suppression. - Kaidi Xu; Sijia Liu 001; Gaoyuan Zhang; Mengshu Sun; Pu Zhao 001; Quanfu Fan; Chuang Gan 001; Xue Lin 001 (CoRR, 2019)

Towards Certificated Model Robustness Against Weight Perturbations. - Tsui-Wei Weng; Pu Zhao 001; Sijia Liu 001; Pin-Yu Chen; Xue Lin 001; Luca Daniel (AAAI, 2020)

Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent. - Pu Zhao 001; Pin-Yu Chen; Siyue Wang; Xue Lin 001 (AAAI, 2020)

3D CNN Acceleration on FPGA using Hardware-Aware Pruning. - Mengshu Sun; Pu Zhao 001; Mehmet Güngör; Massoud Pedram; Miriam Leeser; Xue Lin 001 (DAC, 2020)

Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. - Pu Zhao 001; Pin-Yu Chen; Payel Das; Karthikeyan Natesan Ramamurthy; Xue Lin 001 (ICLR, 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)

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)

Defending against Backdoor Attack on Deep Neural Networks. - Hao Cheng 015; Kaidi Xu; Sijia Liu 001; Pin-Yu Chen; Pu Zhao 001; Xue Lin 001 (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 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)

Learned Fine-Tuner for Incongruous Few-Shot Learning. - Pu Zhao 001; Sijia Liu 001; Parikshit Ram; Songtao Lu; Djallel Bouneffouf 001; Xue Lin 001 (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)

Exploring GPU acceleration of Deep Neural Networks using Block Circulant Matrices. - Shi Dong 002; Pu Zhao 001; Xue Lin 001; David R. Kaeli (Parallel Comput., 2020)

Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks. - Siyue Wang; Pu Zhao 001; Xiao Wang 028; Sang Chin 001; Thomas Wahl; Yunsi Fei; Qi Alfred Chen; Xue Lin 001 (BMVC, 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)

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)

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)

Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks. - Siyue Wang; Xiao Wang 028; Pin-Yu Chen; Pu Zhao 001; Xue Lin 001 (IJCAI, 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)

High-Robustness, Low-Transferability Fingerprinting of Neural Networks. - Siyue Wang; Xiao Wang 028; Pin-Yu Chen; Pu Zhao 001; Xue Lin 001 (CoRR, 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)

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)

All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. - Yifan Gong 004; Zheng Zhan 001; Pu Zhao 001; Yushu Wu; Chao Wu 006; Caiwen Ding; Weiwen Jiang; Minghai Qin; Yanzhi Wang (ICCAD, 2022)

Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization. - Yanyu Li; Pu Zhao 001; Geng Yuan; Xue Lin 001; Yanzhi Wang; Xin Chen (IJCAI, 2022)

Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations. - Pu Zhao 001; Parikshit Ram; Songtao Lu; Yuguang Yao; Djallel Bouneffouf 001; Xue Lin 001; Sijia Liu 001 (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)

Advancing Model Pruning via Bi-level Optimization. - Yihua Zhang; Yuguang Yao; Parikshit Ram; Pu Zhao 001; Tianlong Chen 001; Mingyi Hong 001; Yanzhi Wang; Sijia Liu 001 (NeurIPS, 2022)

More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression. - Hao Cheng 015; Kaidi Xu; Zhengang Li; Pu Zhao 001; Chenan Wang; Xue Lin 001; Bhavya Kailkhura; Ryan A. Goldhahn (WACV (Workshops), 2022)

Efficient Multi-Prize Lottery Tickets: Enhanced Accuracy, Training, and Inference Speed. - Hao Cheng 015; Pu Zhao 001; Yize Li; Xue Lin 001; James Diffenderfer; Ryan A. Goldhahn; Bhavya Kailkhura (CoRR, 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)

Less is More: Data Pruning for Faster Adversarial Training. - Yize Li; Pu Zhao 001; Xue Lin 001; Bhavya Kailkhura; Ryan A. Goldhahn (SafeAI@AAAI, 2023)

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)

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)

Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge. - Yifan Gong 004; Pu Zhao 001; Zheng Zhan 001; Yushu Wu; Chao Wu 006; Zhenglun Kong; Minghai Qin; Caiwen Ding; Yanzhi Wang (DAC, 2023)

Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network. - Hao Cheng 015; Jiahang Cao; Erjia Xiao; Pu Zhao 001; Mengshu Sun; Jiaxu Wang; Jize Zhang; Xue Lin 001; Bhavya Kailkhura; Kaidi Xu; Renjing Xu (CoRR, 2023)

The Autonomous Vehicle Assistant (AVA): Emerging technology design supporting blind and visually impaired travelers in autonomous transportation. - Paul D. S. Fink; Stacy A. Doore; Xue Lin 001; Matthew Maring; Pu Zhao 001; Aubree Nygaard; Grant Beals; Richard R. Corey; Raymond J. Perry; Katherine Freund; Velin Dimitrov; Nicholas A. Giudice (Int. J. Hum. Comput. Stud., 2023)

LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices. - Yifan Gong 004; Yushu Wu; Zheng Zhan 001; Pu Zhao 001; Liangkai Liu; Chao Wu 006; Xulong Tang; Yanzhi Wang (DAC, 2024)

InstructGIE: Towards Generalizable Image Editing. - Zichong Meng; Changdi Yang; Jun Liu 075; Hao Tang 005; Pu Zhao 001; Yanzhi Wang (ECCV (88), 2024)

DiffClass: Diffusion-Based Class Incremental Learning. - Zichong Meng; Jie Zhang; Changdi Yang; Zheng Zhan 001; Pu Zhao 001; Yanzhi Wang (ECCV (87), 2024)

Rethinking Token Reduction for State Space Models. - Zheng Zhan 001; Yushu Wu; Zhenglun Kong; Changdi Yang; Yifan Gong 004; Xuan Shen; Xue Lin 001; Pu Zhao 001; Yanzhi Wang (EMNLP, 2024)

Pruning Foundation Models for High Accuracy without Retraining. - Pu Zhao 001; Fei Sun; Xuan Shen; Pinrui Yu; Zhenglun Kong; Yanzhi Wang; Xue Lin 001 (EMNLP (Findings), 2024)

FasterVD: On Acceleration of Video Diffusion Models. - Pinrui Yu; Dan Luo; Timothy Rupprecht; Lei Lu; Zhenglun Kong; Pu Zhao 001; Yanyu Li; Octavia I. Camps; Xue Lin 001; Yanzhi Wang (IJCAI, 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)

Search for Efficient Large Language Models. - Xuan Shen; Pu Zhao 001; Yifan Gong 004; Zhenglun Kong; Zheng Zhan 001; Yushu Wu; Ming Lin; Chao Wu 006; Xue Lin 001; Yanzhi Wang (NeurIPS, 2024)

Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning. - Chenan Wang; Pu Zhao 001; Siyue Wang; Xue Lin 001 (CoRR, 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)

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)

Fully Open Source Moxin-7B Technical Report. - Pu Zhao 001; Xuan Shen; Zhenglun Kong; Yixin Shen; Sung-En Chang; Timothy Rupprecht; Lei Lu; Enfu Nan; Changdi Yang; Yumei He; Xingchen Xu; Yu Huang; et al. (CoRR, 2024)

Numerical Pruning for Efficient Autoregressive Models. - Xuan Shen; Zhao Song 002; Yufa Zhou 001; Bo Chen 029; Jing Liu 001; Ruiyi Zhang 002; Ryan A. Rossi; Hao Tan 002; Tong Yu 001; Xiang Chen; Yufan Zhou 001; Tong Sun 005; et al. (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)

Numerical Pruning for Efficient Autoregressive Models. - Xuan Shen; Zhao Song 002; Yufa Zhou 001; Bo Chen 029; Jing Liu 001; Ruiyi Zhang 002; Ryan A. Rossi; Hao Tan 005; Tong Yu 001; Xiang Chen; Yufan Zhou 001; Tong Sun 005; et al. (AAAI, 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)

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)

Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation. - Pinrui Yu; Zhenglun Kong; Pu Zhao 001; Peiyan Dong; Hao Tang 005; Fei Sun; Xue Lin 001; Yanzhi Wang (WACV, 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)

Efficient Reasoning with Hidden Thinking. - Xuan Shen; Yizhou Wang; Xiangxi Shi; Yanzhi Wang; Pu Zhao 001; Jiuxiang Gu (CoRR, 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)

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance. - Xuan Shen; Chenxia Han; Yufa Zhou 001; Yanyue Xie; Yifan Gong 004; Quanyi Wang; Yiwei Wang 001; Yanzhi Wang; Pu Zhao 001; Jiuxiang Gu (CoRR, 2025)

FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge. - Xuan Shen; Weize Ma; Yufa Zhou 001; Enhao Tang; Yanyue Xie; Zhengang Li; Yifan Gong 004; Quanyi Wang; Henghui Ding; Yiwei Wang 001; Yanzhi Wang; Pu Zhao 001; et al. (CoRR, 2025)

Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation. - Zhenglun Kong; Zheng Zhan 001; Shiyue Hou; Yifan Gong 004; Xin Meng; Pengwei Sui; Peiyan Dong; Xuan Shen; Zifeng Wang 002; Pu Zhao 001; Hao Tang 005; Stratis Ioannidis; et al. (CoRR, 2025)

Werewolf: A Straightforward Game Framework with TTS for Improved User Engagement. - Qihui Fan; Enfu Nan; Wenbo Li; Lei Lu; Pu Zhao 001; Yanzhi Wang (CoRR, 2025)

VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting. - Juyi Lin; Amir Taherin; Arash Akbari; Arman Akbari; Lei Lu; Guangyu Chen; Taskin Padir; Xiaomeng Yang; Weiwei Chen; Yiqian Li; Xue Lin 001; David R. Kaeli; 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)