Zishen Wan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
11
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPDAC | HDLxGraph: Bridging Large Language Models and HDL Repositories via HDL Graph Databases. | Pingqing Zheng, Jiayin Qin, Fuqi Zhang, Niraj Chitla, Zishen Wan, Shang Wu, Yu Kevin Cao, Caiwen Ding, Yang Katie Zhao |
| 2026 | ASPLOS | Compositional AI Beyond LLMs: System Implications of Neuro-Symbolic-Probabilistic Architectures. | Zishen Wan, Hanchen Yang, Jiayi Qian, Ritik Raj, Joongun Park, Chenyu Wang, Arijit Raychowdhury, Tushar Krishna |
| 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 | SATA: Sparsity-Aware Scheduling for Selective Token Attention. | Zhenkun Fan, Zishen Wan, Che-Kai Liu, Ashwin Sanjay Lele, Win-San Khwa, Bo Zhang, Meng-Fan Chang, Arijit Raychowdhury |
| 2026 | DATE | FortiSky: Enhancing Adversarial and Bit-Error Robustness for Efficient and Secure Autonomous Systems. | Zishen Wan, Karthik Swaminathan, Nandhini Chandramoorthy, Pin-Yu Chen, Tushar Krishna, Vijay Janapa Reddi, Arijit Raychowdhury |
| 2026 | FCCM | Enabling Context-Switchable Monolithic 3D FPGA Design Using Bistable Ferroelectric Inverters. | Faaiq G. Waqar, Matthew Chen, Zifan He, Zishen Wan, Minji Shon, Wei-Hsing Huang, Jason Cong, Shimeng Yu |
| 2026 | HPCA | REASON: Accelerating Probabilistic Logical Reasoning for Scalable Neuro-Symbolic Intelligence. | Zishen Wan, Che-Kai Liu, Jiayi Qian, Hanchen Yang, Arijit Raychowdhury, Tushar Krishna |
| 2026 | ISPASS | Towards System-2 AI: Workloads and Characterizations of Energy-Based Models. | Hanchen Yang, Jiayi Qian, Zishen Wan, Jingtian Dang, Ziwei Li, Yilun Du, Tushar Krishna |
| 2025 | ASPLOS | OctoCache: Caching Voxels for Accelerating 3D Occupancy Mapping in Autonomous Systems. | Peiqing Chen, Minghao Li, Zishen Wan, Yu-Shun Hsiao, Minlan Yu, Vijay Janapa Reddi, Zaoxing Liu |
| 2025 | ASPLOS | ReCA: Integrated Acceleration for Real-Time and Efficient Cooperative Embodied Autonomous Agents. | Zishen Wan, Yuhang Du, Mohamed Ibrahim, Jiayi Qian, Jason Jabbour, Yang Katie Zhao, Tushar Krishna, Arijit Raychowdhury, Vijay Janapa Reddi |
| 2025 | DAC | ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance. | Tong Xie, Jiawang Zhao, Zishen Wan, Zuodong Zhang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li |
| 2025 | DAC | NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI. | Hanchen Yang, Zishen Wan, Ritik Raj, Joongun Park, Ziwei Li, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna |
| 2025 | HPCA | CogSys: Efficient and Scalable Neurosymbolic Cognition System via Algorithm-Hardware Co-Design. | Zishen Wan, Hanchen Yang, Ritik Raj, Che-Kai Liu, Ananda Samajdar, Arijit Raychowdhury, Tushar Krishna |
| 2025 | ICCAD | HyDra: SOT-CAM Based Vector Symbolic Macro for Hyperdimensional Computing. | Md Mizanur Rahaman Nayan, Che-Kai Liu, Zishen Wan, Arijit Raychowdhury, Azad J. Naeemi |
| 2025 | ISCAS | Characterization and Mitigation of ADC Noise by Reference Tuning in RRAM-Based Compute-In-Memory. | Ying-Hao Wei, Zishen Wan, Brian Crafton, Samuel Spetalnick, Arijit Raychowdhury |
| 2025 | ISPASS | SCALE-Sim V3: a Modular Cycle-Accurate Systolic Accelerator Simulator for End-To-End System Analysis. | Ritik Raj, Sarbartha Banerjee, Nikhil Chandra, Zishen Wan, Jianming Tong, Ananda Samajdar, Tushar Krishna |
| 2025 | ISPASS | Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability. | Zishen Wan, Jiayi Qian, Yuhang Du, Jason Jabbour, Yilun Du, Yang Zhao, Arijit Raychowdhury, Tushar Krishna, Vijay Janapa Reddi |
| 2025 | MICRO | RTGS: Real-Time 3D Gaussian Splatting SLAM via Multi-Level Redundancy Reduction. | Leshu Li, Jiayin Qin, Jie Peng, Zishen Wan, Huaizhi Qu, Ye Han, Pingqing Zheng, Hongsen Zhang, Yu Cao, Tianlong Chen, Yang Katie Zhao |
| 2024 | ASPLOS | ORIANNA: An Accelerator Generation Framework for Optimization-based Robotic Applications. | Yuhui Hao, Yiming Gan, Bo Yu, Qiang Liu, Yinhe Han, Zishen Wan, Shaoshan Liu |
| 2024 | ASPLOS | MulBERRY: Enabling Bit-Error Robustness for Energy-Efficient Multi-Agent Autonomous Systems. | Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Kshitij Bhardwaj, Vijay Janapa Reddi, Arijit Raychowdhury |
| 2024 | DAC | Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference. | Akshat Ramachandran, Zishen Wan, Geonhwa Jeong, John L. Gustafson, Tushar Krishna |
| 2024 | DATE | H3DFact: Heterogeneous 3D Integrated CIM for Factorization with Holographic Perceptual Representations. | Zishen Wan, Che-Kai Liu, Mohamed Ibrahim, Hanchen Yang, Samuel Spetalnick, Tushar Krishna, Arijit Raychowdhury |
| 2024 | ICCAD | Thinking and Moving: An Efficient Computing Approach for Integrated Task and Motion Planning in Cooperative Embodied AI Systems. | Zishen Wan, Yuhang Du, Mohamed Ibrahim, Yang Katie Zhao, Tushar Krishna, Arijit Raychowdhury |
| 2024 | ICRA | RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. | Vctor Mayoral Vilches, Jason Jabbour, Yu-Shun Hsiao, Zishen Wan, Martio Crespo-lvarez, Matthew Stewart, Juan Manuel Reina-Muoz, Prateek Nagras, Gaurav Vikhe, Mohammad Bakhshalipour, Martin Pinzger, Stefan Rass, Smruti Panigrahi, Giulio Corradi, Niladri Roy, Phillip B. Gibbons, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi |
| 2024 | ISPASS | Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI. | Zishen Wan, Che-Kai Liu, Hanchen Yang, Ritik Raj, Chaojian Li, Haoran You, Yonggan Fu, Cheng Wan, Ananda Samajdar, Yingyan Celine Lin, Tushar Krishna, Arijit Raychowdhury |
| 2023 | DAC | BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems. | Zishen Wan, Nandhini Chandramoorthy, Karthik Swaminathan, Pin-Yu Chen, Vijay Janapa Reddi, Arijit Raychowdhury |
| 2023 | DATE | Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving. | Kshitij Bhardwaj, Zishen Wan, Arijit Raychowdhury, Ryan A. Goldhahn |
| 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 | SEE-MCAM: Scalable Multi-Bit FeFET Content Addressable Memories for Energy Efficient Associative Search. | Shengxi Shou, Che-Kai Liu, Sanggeon Yun, Zishen Wan, Kai Ni, Mohsen Imani, X. Sharon Hu, Jianyi Yang, Cheng Zhuo, Xunzhao Yin |
| 2022 | ASPDAC | Circuit and System Technologies for Energy-Efficient Edge Robotics: (Invited Paper). | Zishen Wan, Ashwin Sanjay Lele, Arijit Raychowdhury |
| 2022 | DAC | Improving compute in-memory ECC reliability with successive correction. | Brian Crafton, Zishen Wan, Samuel Spetalnick, Jong-Hyeok Yoon, Wei Wu, Carlos Tokunaga, Vivek De, Arijit Raychowdhury |
| 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 | Analyzing and Improving Resilience and Robustness of Autonomous Systems. | Zishen Wan, Karthik Swaminathan, Pin-Yu Chen, Nandhini Chandramoorthy, Arijit Raychowdhury |
| 2022 | ISPASS | Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles. | Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Ninad Jadhav, Aleksandra Faust, Vijay Janapa Reddi |
| 2022 | MICRO | Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles. | Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi |
| 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 |
| 2020 | DAC | Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference. | Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander M. Rush, David Brooks, Gu-Yeon Wei |