Jeff Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
13
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPDAC | Chiplet-NAS: Chiplet-aware Neural Architecture Search for Efficient AI Inference on 2.5D Integration. | Cheng Guo, Pragnya Sudershan Nalla, Nikhil K. Cherukuri, Rui Xue, Sachin S. Sapatnekar, Chaitali Chakrabarti, Yu Cao, Jeff Zhang |
| 2026 | ASPLOS | Neura: A Unified Framework for Hierarchical and Adaptive CGRAs. | Cheng Tan, Miaomiao Jiang, Yuqi Sun, Ruihong Yin, Yanghui Ou, Qing Zhong, Lei Ju, Jeff Zhang |
| 2026 | DATE | Exploring Heterogeneity-Aware Optimizations for Resource Efficient Edge Recommendation. | Yerin Lee, Gyudong Kim, Eunjin Lee, Jeff Zhang, Young-Ho Gong, Young Geun Kim, Carole-Jean Wu |
| 2026 | FPGA | vFPGA: Towards Sub-s Reconfiguration via 3D FPGA and Packaging Co-Design. | Nikhil K. Cherukuri, Sharad Nag, Pragnya Sudershan Nalla, Ashish K. Kola, Chetan S. Gadireddi, Kevin Dai, Jae-sun Seo, Zhenman Fang, Jeff Zhang, Yu Cao |
| 2026 | ISCAS | A 22nm Reconfigurable Systolic Array for FFT and AI Inference. | John Stolzberg-Schray, Sharad Nag, Jacob Johnson, Nikhil K. Cherukuri, Ashish K. Kola, Gopikrishnan Raveendran Nair, Jeff Zhang, Jae-sun Seo, Yu Kevin Cao |
| 2026 | VTS | 2.5D/3D Chiplet-based Integration: New Dimensions in Design and Testing. | Ganap A. Tewary, Partho Bhoumik, Pragnya S. Nalla, Yu Cao, Krishnendu Chakrabarty, Jeff Zhang |
| 2025 | ASPLOS | PICACHU: Plug-In CGRA Handling Upcoming Nonlinear Operations in LLMs. | Jiajun Qin, Tianhua Xia, Cheng Tan, Jeff Zhang, Sai Qian Zhang |
| 2025 | CIKM | Time-Period-Aware Embedding Regeneration for Session-Based Recommendation. | Cheng Guo, Rui Xue, Jeff Zhang |
| 2025 | DAC | Invited: EDA for Heterogeneous Integration. | Emad Haque, Pragnya Sudershan Nalla, Chetal Choppali Sudarshan, Divya Yogi, Hangyu Zhang, Chaitali Chakrabarti, Vidya A. Chhabria, Ramesh Harjani, Jeff Zhang, Sachin S. Sapatnekar |
| 2025 | DAC | CHORD: Composable Hybrid Optical Reconfigurable Diffractive Framework For Optical Neural Network. | Ziang Yin, Yu Yao, Jeff Zhang, Jiaqi Gu |
| 2025 | DATE | CLAIRE: Composable Chiplet Libraries for AI Inference. | Pragnya Sudershan Nalla, Emad Haque, Yaotian Liu, Sachin S. Sapatnekar, Jeff Zhang, Chaitali Chakrabarti, Yu Cao |
| 2025 | HPCA | HSMU-SpGEMM: Achieving High Shared Memory Utilization for Parallel Sparse General Matrix-Matrix Multiplication on Modern GPUs. | Min Wu, Huizhang Luo, Fenfang Li, Yiran Zhang, Zhuo Tang, Kenli Li, Jeff Zhang, Chubo Liu |
| 2024 | ASPDAC | Exploiting 2.5D/3D Heterogeneous Integration for AI Computing. | Zhenyu Wang, Jingbo Sun, A. Alper Goksoy, Sumit K. Mandal, Yaotian Liu, Jae-Sun Seo, Chaitali Chakrabarti, mit Y. Ogras, Vidya A. Chhabria, Jeff Zhang, Yu Cao |
| 2024 | DAC | zeroTT: A Two-Step State Transition Avoidance Scheme for MLC STT-RAM. | Dong Yin, Huizhang Luo, Jeff Zhang, Mingxing Duan, Wangdong Yang, Zhuo Tang, Kenli Li |
| 2024 | ICCAD | SCATTER: Algorithm-Circuit Co-Sparse Photonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution. | Ziang Yin, Nicholas Gangi, Meng Zhang, Jeff Zhang, Z. Rena Huang, Jiaqi Gu |
| 2024 | ISLPED | A 16nm Heterogeneous Accelerator for Energy-Efficient Sparse and Dense AI Computing. | Gopikrishnan Raveendran Nair, Fengyang Jiang, Jeff Zhang, Yu Cao |
| 2024 | MICRO | ICED: An Integrated CGRA Framework Enabling DVFS-Aware Acceleration. | Cheng Tan, Miaomiao Jiang, Deepak Patil, Yanghui Ou, Zhaoying Li, Lei Ju, Tulika Mitra, Hyunchul Park, Antonino Tumeo, Jeff Zhang |
| 2023 | ICCAD | VecPAC: A Vectorizable and Precision-Aware CGRA. | Cheng Tan, Deepak Patil, Antonino Tumeo, Gabriel Weisz, Steven K. Reinhardt, Jeff Zhang |
| 2023 | ICRA | Path Planning Under Uncertainty to Localize mmWave Sources. | Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda, Yaqi Hu, Amee Trivedi, Jeff Zhang, Siddharth Garg, Elza Erkip, Sundeep Rangan, Ludovic Righetti |
| 2022 | DATE | M2M-Routing: Environmental Adaptive Multi-agent Reinforcement Learning based Multi-hop Routing Policy for Self-Powered IoT Systems. | Wen Zhang, Jeff Zhang, Mimi Xie, Tao Liu, Wenlu Wang, Chen Pan |
| 2021 | MICRO | RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance. | Udit Gupta, Samuel Hsia, Jeff Zhang, Mark Wilkening, Javin Pombra, Hsien-Hsin Sean Lee, Gu-Yeon Wei, Carole-Jean Wu, David Brooks |
| 2018 | DAC | Thundervolt: enabling aggressive voltage underscaling and timing error resilience for energy efficient deep learning accelerators. | Jeff Zhang, Kartheek Rangineni, Zahra Ghodsi, Siddharth Garg |