| 2026 | ASPDAC | Chat-A | Zhantong Zhu, Kangbo Bai, Tianyu Jia |
| 2026 | ASPLOS | CREATE: Cross-Layer Resilience Characterization and Optimization for Efficient yet Reliable Embodied AI Systems. | Tong Xie, Yijiahao Qi, Jinqi Wen, Zishen Wan, Yanchi Dong, Zihao Wang, Shaofei Cai, Yitao Liang, Tianyu Jia, Yuan Wang, Runsheng Wang, Meng Li |
| 2026 | DATE | ChipLight: Cross-Layer Optimization of Chiplet Design with Optical Interconnects for LLM Training. | Kangbo Bai, Zhantong Zhu, Yifan Ding, Tianyu Jia |
| 2026 | DATE | ACES: A Chiplet Architecture with Resource Partition and Dynamic Scheduling for Agentic LLMs. | Hongou Li, Mingxuan Li, Zhantong Zhu, Tianyu Jia |
| 2026 | ISLPED | MVP: A Mobile 3D-Stacked VLM Accelerator for Efficient Video Understanding by Leveraging Dynamic Sparse Attention Patterns. | Yifan Ding, Qianxu Wang, Dunshan Yu, Tianyu Jia |
| 2026 | ISLPED | CFoM-GS: An Anchor Gaussian Splatting Training Accelerator with Chunk-wise Footprint Matching. | Yiyang Sun, Han Liu, Renati Tuerhong, Tianyu Jia |
| 2026 | ISLPED | EdgeVLA: A Heterogeneous Edge VLA Accelerator with Iteration-Aware Low-Rank Approximation for Embodied AI. | Renati Tuerhong, Yiyang Sun, Mingxuan Li, Tianyu Jia |
| 2025 | ASPDAC | GSNorm: An Efficient 3D Gaussian Rendering Accelerator with Splat Normalization and LUT-assist Rasterization. | Yiyang Sun, Peiran Yan, Yiqi Jing, Le Ye, Tianyu Jia |
| 2025 | DAC | EdgeMM: Multi-Core CPU with Heterogeneous AI-Extension and Activation-aware Weight Pruning for Multimodal LLMs at Edge. | Kangbo Bai, Le Ye, Ru Huang, Tianyu Jia |
| 2025 | DAC | Local-GS: An Order-Independent Gaussian Splatting Training Accelerator Exploiting Splat Locality. | Yiyang Sun, Qinzhe Zhi, Yiqi Jing, Le Ye, Ru Huang, Tianyu Jia |
| 2025 | DAC | 3D-TokSIM: Stacking 3D Memory with Token-Stationary Compute-in-Memory for Speculative LLM Inference. | Wentao Zhao, Boya Lv, Meng Wu, Peiyu Chen, Fengyun Yan, Yufei Ma, Tianyu Jia, Ru Huang, Le Ye |
| 2025 | DATE | Leveraging Compute-in-Memory for Efficient Generative Model Inference in TPUs. | Zhantong Zhu, Hongou Li, Wenjie Ren, Meng Wu, Le Ye, Ru Huang, Tianyu Jia |
| 2025 | HCI | Improving Driving Performance in Difficult Driving Scenarios Using Personalized Real-Time Neurofeedback. | Jian Shi, Zhen Zhang, Lishengsha Yue, Tianyu Jia, Yang Yufeng |
| 2025 | ICCAD | Tasa: Thermal-aware 3D-Stacked Architecture Design with Bandwidth Sharing for LLM Inference. | Siyuan He, Peiran Yan, Yandong He, Youwei Zhuo, Tianyu Jia |
| 2025 | ICCAD | LP-Spec: Leveraging LPDDR PIM for Efficient LLM Mobile Speculative Inference with Architecture-Dataflow Co-Optimization. | Siyuan He, Zhantong Zhu, Yandong He, Tianyu Jia |
| 2025 | ICCAD | CIMTester: An Agile Golden-Result-Free BIST Compiler for Robust Compute-In-Memory. | Wenjie Ren, Meng Wu, Mingxuan Li, Peiyu Chen, Tianyu Jia, Le Ye |
| 2025 | ICML | Patch-wise Structural Loss for Time Series Forecasting. | Dilfira Kudrat, Zongxia Xie, Yanru Sun, Tianyu Jia, Qinghua Hu |
| 2025 | ISCAS | A 22nm All-digital Fully Synthesizable Adaptive Clock Generator for Fast Frequency Adjustment in AI Processor. | Xueping Liu, Le Ye, Tianyu Jia |
| 2025 | ISLPED | GenSoC: A Multi-Agent-Assisted SoC Generation Methodology Leveraging Open-Source Hardware. | Peiran Yan, Qinzhe Zhi, Lifeng Liu, Tianyu Jia |
| 2024 | DAC | An In-Memory Computing Accelerator with Reconfigurable Dataflow for Multi-Scale Vision Transformer with Hybrid Topology. | Zhiyuan Chen, Yufei Ma, Keyi Li, Yifan Jia, Guoxiang Li, Meng Wu, Tianyu Jia, Le Ye, Ru Huang |
| 2024 | DAC | AIG-CIM: A Scalable Chiplet Module with Tri-Gear Heterogeneous Compute-in-Memory for Diffusion Acceleration. | Yiqi Jing, Meng Wu, Jiaqi Zhou, Yiyang Sun, Yufei Ma, Ru Huang, Tianyu Jia, Le Ye |
| 2024 | DAC | SPARK: An Efficient Hybrid Acceleration Architecture with Run-Time Sparsity-Aware Scheduling for TinyML Learning. | Mingxuan Li, Qinzhe Zhi, Yanchi Dong, Le Ye, Tianyu Jia |
| 2024 | ICCAD | Hierarchical Power Co-Optimization and Management for LLM Chiplet Designs. | Yanchi Dong, Xueping Liu, Xiaochen Hao, Yun Liang, Ru Huang, Le Ye, Tianyu Jia |
| 2024 | ICCAD | ATPlace2.5D: Analytical Thermal-Aware Chiplet Placement Framework for Large-Scale 2.5D-IC. | Qipan Wang, Xueqing Li, Tianyu Jia, Yibo Lin, Runsheng Wang, Ru Huang |
| 2024 | ISCA | BlitzCoin: Fully Decentralized Hardware Power Management for Accelerator-Rich SoCs. | Martin Cochet, Karthik Swaminathan, Erik Jens Loscalzo, Joseph Zuckerman, Maico Cassel dos Santos, Davide Giri, Alper Buyuktosunoglu, Tianyu Jia, David Brooks, Gu-Yeon Wei, Kenneth L. Shepard, Luca P. Carloni, Pradip Bose |
| 2023 | DAC | A Model-Specific End-to-End Design Methodology for Resource-Constrained TinyML Hardware. | Yanchi Dong, Tianyu Jia, Kaixuan Du, Yiqi Jing, Qijun Wang, Pixian Zhan, Yadong Zhang, Fengyun Yan, Yufei Ma, Yun Liang, Le Ye, Ru Huang |
| 2023 | DATE | MAVFI: An End-to-End Fault Analysis Framework with Anomaly Detection and Recovery for Micro Aerial Vehicles. | Yu-Shun Hsiao, Zishen Wan, Tianyu Jia, Radhika Ghosal, Abdulrahman Mahmoud, Arijit Raychowdhury, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi |
| 2023 | ICCAD | ARES: A Mapping Framework of DNNs Towards Diverse PIMs with General Abstractions. | Xiuping Cui, Size Zheng, Tianyu Jia, Le Ye, Yun Liang |
| 2023 | ISLPED | DCIM-3DRec: A 3D Reconstruction Accelerator with Digital Computing-in-Memory and Octree-Based Scheduler. | Yiqi Jing, Yiyang Sun, Xiao Wang, Wentao Zhao, Meng Wu, Fengyun Yan, Yufei Ma, Le Ye, Tianyu Jia |
| 2022 | DATE | OMU: A Probabilistic 3D Occupancy Mapping Accelerator for Real-time OctoMap at the Edge. | Tianyu Jia, En-Yu Yang, Yu-Shun Hsiao, Jonathan J. Cruz, David Brooks, Gu-Yeon Wei, Vijay Janapa Reddi |
| 2022 | DATE | FRL-FI: Transient Fault Analysis for Federated Reinforcement Learning-Based Navigation Systems. | Zishen Wan, Aqeel Anwar, Abdulrahman Mahmoud, Tianyu Jia, Yu-Shun Hsiao, Vijay Janapa Reddi, Arijit Raychowdhury |
| 2022 | ICCAD | A Scalable Methodology for Agile Chip Development with Open-Source Hardware Components. | Maico Cassel dos Santos, Tianyu Jia, Martin Cochet, Karthik Swaminathan, Joseph Zuckerman, Paolo Mantovani, Davide Giri, Jeff Jun Zhang, Erik Jens Loscalzo, Gabriele Tombesi, Kevin Tien, Nandhini Chandramoorthy, John-David Wellman, David Brooks, Gu-Yeon Wei, Kenneth L. Shepard, Luca P. Carloni, Pradip Bose |
| 2021 | DAC | Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems. | Zishen Wan, Aqeel Anwar, Yu-Shun Hsiao, Tianyu Jia, Vijay Janapa Reddi, Arijit Raychowdhury |
| 2021 | MICRO | EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference. | Thierry Tambe, Coleman Hooper, Lillian Pentecost, Tianyu Jia, En-Yu Yang, Marco Donato, Victor Sanh, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei |
| 2020 | MICRO | NCPU: An Embedded Neural CPU Architecture on Resource-Constrained Low Power Devices for Real-time End-to-End Performance. | Tianyu Jia, Yuhao Ju, Russ Joseph, Jie Gu |
| 2019 | ISMAR | Words in Kitchen: An Instance of Leveraging Virtual Reality Technology to Learn Vocabulary. | Tianyu Jia, Yue Liu |
| 2018 | DAC | Compiler-guided instruction-level clock scheduling for timing speculative processors. | Yuanbo Fan, Tianyu Jia, Jie Gu, Simone Campanoni, Russ Joseph |
| 2018 | ICCAD | Design and optimization of edge computing distributed neural processor for biomedical rehabilitation with sensor fusion. | Kofi Otseidu, Tianyu Jia, Joshua Bryne, Levi J. Hargrove, Jie Gu |
| 2017 | DAC | Greybox Design Methodology: A Program Driven Hardware Co-optimization with Ultra-Dynamic Clock Management. | Tianyu Jia, Russ Joseph, Jie Gu |
| 2016 | BigData | Model Transformation and Data Migration from Relational Database to MongoDB. | Tianyu Jia, Xiaomeng Zhao, Zheng Wang, Dahan Gong, Guiguang Ding |
| 2016 | DAC | Exploration of associative power management with instruction governed operation for ultra-low power design. | Tianyu Jia, Yuanbo Fan, Russ Joseph, Jie Gu |