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ORCIDZhiang Wang
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2020 – today
- 2026
[j8]Cunqing Lan
, Hongyang Pan, Zhiang Wang, Xuan Zeng, Fan Yang, Keren Zhu:
PigMap2: A Physical Information-Guided Technology Mapping Framework. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 45(5): 2193-2207 (2026)- [j7]Alexander Graening, Puneet Gupta, Andrew B. Kahng, Bodhisatta Pramanik, Zhiang Wang:
ChipletPart: Cost-Aware Partitioning for 2.5D Systems. ACM Trans. Design Autom. Electr. Syst. 31(5): 88:1-88:29 (2026) - [c23]Hongyang Pan, Cunqing Lan, Zhiang Wang, Xuan Zeng, Fan Yang, Keren Zhu:
PigMap3: A Physically Aware Incremental Mapping Framework with On-the-fly Post-Layout Critical Path Tracking. ASP-DAC 2026: 815-821 - [c22]Xiangao Meng, Yan Li, Jun Yuan, Zhiang Wang, Lihan Wang, Yinian Feng, Zheng Wang, Zhi Chen, Bo Zhang, Cheng Wang:
A 230GHz, 128-unit Zero-IF Phased Array RX utilizing 1-D SSPLL and DTC Phase Shifter. CICC 2026: 1-4 - [c21]Guanhua Chen, Yujie Yan, Jiahua Liu, Zecheng Xu, Linxi Qiu, Yumao Wu, Zhiang Wang, Changhao Yan, Zhaori Bi, Keren Zhu:
HOLMES: Hierarchical Optimization with poLygonal ModEling for Large-Scale AMS Placement. ISCAS 2026: 75-79 - [c20]Cunqing Lan, Zijian Jiang, Hongyang Pan, Zhiang Wang, Keren Zhu:
PhySeqForm: A Data-Driven, Physical Synthesis Sequence Former. ISCAS 2026: 808-812 - [c19]Zhouyang Wu, Ruiyu Lyu, Keren Zhu, Zhiang Wang, Zhaori Bi, Changhao Yan, Xuan Zeng:
Layout-Aware Standard Cell Synthesis via Reparameterization Multi-Task Bayesian Optimization. ISCAS 2026: 1457-1461 - [c18]Parallel Global Routing, Chuyu Wang, Zecheng Xu, Boxiang Song, Zhiang Wang, Fan Yang, Keren Zhu, Xuan Zeng:
RC-Scaled Timing-Driven Routing: Bridging Targeted Timing Optimization and Massively. ISCAS 2026: 2061-2065 - [c17]Andrew B. Kahng, Jason Liang, Zhiang Wang:
LSMC Meets GPU Acceleration: Scalable and High-Quality Multi-Row Detailed Placement. ISCAS 2026: 2728-2732 - [c16]Liwen Jiang, Andrew B. Kahng, Zhiang Wang, Zhiyu Zheng:
Invited: Toward Sustainable and Transparent Benchmarking for Academic Physical Design Research. ISPD 2026: 245-253 - [c15]Andrew B. Kahng, Seokhyeong Kang, Sayak Kundu, Yiting Liu, Davit Markarian, Seonghyeon Park, Zhiang Wang:
Invited: Post-Placement Buffering and Sizing Contest. ISPD 2026: 256-262 - [i12]Liwen Jiang, Andrew B. Kahng, Zhiang Wang, Zhiyu Zheng:
Invited: Toward Sustainable and Transparent Benchmarking for Academic Physical Design Research. CoRR abs/2601.17520 (2026) - 2025
- [j6]Andrew B. Kahng, Zhiang Wang:
DG-RePlAce: A Dataflow-Driven GPU-Accelerated Analytical Global Placement Framework for Machine Learning Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(2): 696-708 (2025) - [j5]Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Sean Kinzer, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang:
Performance Analysis of CNN Inference/Training with Convolution and Non-Convolution Operations on ASIC Accelerators. ACM Trans. Design Autom. Electr. Syst. 30(1): 1-34 (2025) - [c14]Amur Ghose, Andrew B. Kahng, Sayak Kundu, Yiting Liu, Bodhisatta Pramanik, Zhiang Wang, Dooseok Yoon:
Use Cases and Deployment of ML in IC Physical Design. ASP-DAC 2025: 669-675 - [c13]Vidya A. Chhabria, Amur Ghose, Vikram Gopalakrishnan, Andrew B. Kahng, Sayak Kundu, Yiting Liu, Zhiang Wang, Bing-Yue Wu:
Invited: IEEE DATC RDF-2025: Enabling an EDA Research Ecosystem. ICCAD 2025: 1-9 - [c12]Amur Ghose, Andrew B. Kahng, Sayak Kundu, Zhiang Wang:
ORFS-agent: Tool-Using Agents for Chip Design Optimization. MLCAD 2025: 1-13 - [c11]Andrew B. Kahng, Yiting Liu, Zhiang Wang:
Recursive Learning-Based Virtual Buffering for Analytical Global Placement. MLCAD 2025: 1-11 - [i11]Amur Ghose, Andrew B. Kahng, Sayak Kundu, Zhiang Wang:
ORFS-agent: Tool-Using Agents for Chip Design Optimization. CoRR abs/2506.08332 (2025) - [i10]Andrew B. Kahng, Yiting Liu, Zhiang Wang:
Recursive Learning-Based Virtual Buffering for Analytical Global Placement. CoRR abs/2506.17247 (2025) - [i9]Alexander Graening, Puneet Gupta, Andrew B. Kahng, Bodhisatta Pramanik, Zhiang Wang:
ChipletPart: Scalable Cost-Aware Partitioning for 2.5D Systems. CoRR abs/2507.19819 (2025) - [i8]Yunqi Shi, Xi Lin, Zhiang Wang, Siyuan Xu, Shixiong Kai, Yao Lai, Chengrui Gao, Ke Xue, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou:
Re2MaP: Macro Placement by Recursively Prototyping and Packing Tree-based Relocating. CoRR abs/2511.08054 (2025) - 2024
- [b1]Zhiang Wang:
Physical Design Methods and Research Infrastructure for Machine Learning Accelerators. University of California San Diego, USA, 2024 - [j4]Ismail Bustany, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang:
K-SpecPart: Supervised Embedding Algorithms and Cut Overlay for Improved Hypergraph Partitioning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(4): 1232-1245 (2024) - [j3]Andrew B. Kahng, Ravi Varadarajan, Zhiang Wang:
Hier-RTLMP: A Hierarchical Automatic Macro Placer for Large-Scale Complex IP Blocks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(5): 1552-1565 (2024) - [j2]Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang, Ziqing Zeng:
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators. ACM Trans. Design Autom. Electr. Syst. 29(4): 1-33 (2024) - [c10]Hongyang Pan, Cunqing Lan, Yiting Liu, Zhiang Wang, Li Shang, Xuan Zeng, Fan Yang, Keren Zhu:
Physically Aware Synthesis Revisited: Guiding Technology Mapping with Primitive Logic Gate Placement. ICCAD 2024: 171:1-171:9 - [c9]Vidya A. Chhabria, Vikram Gopalakrishnan, Andrew B. Kahng, Sayak Kundu, Zhiang Wang, Bing-Yue Wu, Dooseok Yoon:
Strengthening the Foundations for IC Physical Design and ML EDA Research. ICCAD 2024: 199:1-199:9 - [i7]Andrew B. Kahng, Zhiang Wang:
DG-RePlAce: A Dataflow-Driven GPU-Accelerated Analytical Global Placement Framework for Machine Learning Accelerators. CoRR abs/2404.13049 (2024) - [i6]Hongyang Pan, Cunqing Lan, Yiting Liu, Zhiang Wang, Li Shang, Xuan Zeng, Fan Yang, Keren Zhu:
Physically Aware Synthesis Revisited: Guiding Technology Mapping with Primitive Logic Gate Placement. CoRR abs/2408.07886 (2024) - 2023
- [j1]Lingmei Yin, Wei Tian, Ling Wang, Zhiang Wang, Zhuoping Yu:
SPV-SSD: An Anchor-Free 3D Single-Stage Detector with Supervised-PointRendering and Visibility Representation. Remote. Sens. 15(1): 161 (2023) - [c8]Ismail Bustany, Grigor Gasparyan, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang:
An Open-Source Constraints-Driven General Partitioning Multi-Tool for VLSI Physical Design. ICCAD 2023: 1-9 - [c7]Jinwook Jung, Andrew B. Kahng, Sayak Kundu, Zhiang Wang, Dooseok Yoon:
Invited Paper: IEEE CEDA DATC Emerging Foundations in IC Physical Design and MLCAD Research. ICCAD 2023: 1-7 - [c6]Chung-Kuan Cheng, Andrew B. Kahng, Sayak Kundu, Yucheng Wang, Zhiang Wang:
Assessment of Reinforcement Learning for Macro Placement. ISPD 2023: 158-166 - [i5]Chung-Kuan Cheng, Andrew B. Kahng, Sayak Kundu, Yucheng Wang, Zhiang Wang:
Assessment of Reinforcement Learning for Macro Placement. CoRR abs/2302.11014 (2023) - [i4]Andrew B. Kahng, Ravi Varadarajan, Zhiang Wang:
Hier-RTLMP: A Hierarchical Automatic Macro Placer for Large-scale Complex IP Blocks. CoRR abs/2304.11761 (2023) - [i3]Ismail Bustany, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang:
K-SpecPart: A Supervised Spectral Framework for Multi-Way Hypergraph Partitioning Solution Improvement. CoRR abs/2305.06167 (2023) - [i2]Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Sean Kinzer, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang:
Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations. CoRR abs/2306.16767 (2023) - [i1]Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang, Ziqing Zeng:
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators. CoRR abs/2308.12120 (2023) - 2022
- [c5]Ismail Bustany, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang:
SpecPart: A Supervised Spectral Framework for Hypergraph Partitioning Solution Improvement. ICCAD 2022: 13:1-13:9 - [c4]Jinwook Jung, Andrew B. Kahng, Ravi Varadarajan, Zhiang Wang:
IEEE CEDA DATC: Expanding Research Foundations for IC Physical Design and ML-Enabled EDA. ICCAD 2022: 96:1-96:8 - [c3]Andrew B. Kahng, Ravi Varadarajan, Zhiang Wang:
RTL-MP: Toward Practical, Human-Quality Chip Planning and Macro Placement. ISPD 2022: 3-11 - [c2]Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang, Ziqing Zeng:
Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms. MLCAD 2022: 119-126 - 2021
- [c1]Hadi Esmaeilzadeh, Soroush Ghodrati, Jie Gu, Shiyu Guo, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Rohan Mahapatra, Susmita Dey Manasi, Edwin Mascarenhas, Sachin S. Sapatnekar, Ravi Varadarajan, Zhiang Wang, Hanyang Xu, Brahmendra Reddy Yatham, Ziqing Zeng:
VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis. ICCAD 2021: 1-7
Coauthor Index
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