Zhiang Wang - RankMe

37 papers A 8Journal 19Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Invited: Post-Placement Buffering and Sizing Contest. ISPD Andrew B. Kahng, Seokhyeong Kang, Sayak Kundu, Yiting Liu, Davit Markarian, SeongHyeon Park, Zhiang Wang
2026	—	`conf`	Invited: Toward Sustainable and Transparent Benchmarking for Academic Physical Design Research. ISPD Liwen Jiang, Andrew B. Kahng, Zhiang Wang, Zhiyu Zheng
2026	J	`jnl`	Invited: Toward Sustainable and Transparent Benchmarking for Academic Physical Design Research. CoRR Liwen Jiang, Andrew B. Kahng, Zhiang Wang, Zhiyu Zheng
2026	J	`jnl`	PigMap2: A Physical Information-Guided Technology Mapping Framework. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Cunqing Lan, Hongyang Pan, Zhiang Wang, Xuan Zeng, Fan Yang, Keren Zhu
2026	—	`conf`	PigMap3: A Physically Aware Incremental Mapping Framework with On-the-fly Post-Layout Critical Path Tracking. ASP-DAC Hongyang Pan, Cunqing Lan, Zhiang Wang, Xuan Zeng, Fan Yang, Keren Zhu
2025	J	`jnl`	ChipletPart: Scalable Cost-Aware Partitioning for 2.5D Systems. CoRR Alexander Graening, Puneet Gupta, Andrew B. Kahng, Bodhisatta Pramanik, Zhiang Wang
2025	J	`jnl`	DG-RePlAce: A Dataflow-Driven GPU-Accelerated Analytical Global Placement Framework for Machine Learning Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Andrew B. Kahng, Zhiang Wang
2025	A	`conf`	Invited: IEEE DATC RDF-2025: Enabling an EDA Research Ecosystem. ICCAD Vidya A. Chhabria, Amur Ghose, Vikram Gopalakrishnan, Andrew B. Kahng, Sayak Kundu, Yiting Liu, Zhiang Wang, Bing-Yue Wu
2025	—	`conf`	ORFS-agent: Tool-Using Agents for Chip Design Optimization. MLCAD Amur Ghose, Andrew B. Kahng, Sayak Kundu, Zhiang Wang
2025	J	`jnl`	ORFS-agent: Tool-Using Agents for Chip Design Optimization. CoRR Amur Ghose, Andrew B. Kahng, Sayak Kundu, Zhiang Wang
2025	J	`jnl`	Performance Analysis of CNN Inference/Training with Convolution and Non-Convolution Operations on ASIC Accelerators. ACM Trans. Design Autom. Electr. Syst. Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Sean Kinzer, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang
2025	J	`jnl`	Re CoRR Yunqi Shi, Xi Lin, Zhiang Wang, Siyuan Xu, Shixiong Kai, Yao Lai, Chengrui Gao, Ke Xue, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou
2025	—	`conf`	Recursive Learning-Based Virtual Buffering for Analytical Global Placement. MLCAD Andrew B. Kahng, Yiting Liu, Zhiang Wang
2025	J	`jnl`	Recursive Learning-Based Virtual Buffering for Analytical Global Placement. CoRR Andrew B. Kahng, Yiting Liu, Zhiang Wang
2025	—	`conf`	Use Cases and Deployment of ML in IC Physical Design. ASP-DAC Amur Ghose, Andrew B. Kahng, Sayak Kundu, Yiting Liu, Bodhisatta Pramanik, Zhiang Wang, Dooseok Yoon
2024	J	`jnl`	An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators. ACM Trans. Design Autom. Electr. Syst. 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
2024	J	`jnl`	DG-RePlAce: A Dataflow-Driven GPU-Accelerated Analytical Global Placement Framework for Machine Learning Accelerators. CoRR Andrew B. Kahng, Zhiang Wang
2024	J	`jnl`	Hier-RTLMP: A Hierarchical Automatic Macro Placer for Large-Scale Complex IP Blocks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Andrew B. Kahng, Ravi Varadarajan, Zhiang Wang
2024	J	`jnl`	K-SpecPart: Supervised Embedding Algorithms and Cut Overlay for Improved Hypergraph Partitioning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ismail Bustany, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang
2024	—	`—`	Physical Design Methods and Research Infrastructure for Machine Learning Accelerators Zhiang Wang
2024	A	`conf`	Physically Aware Synthesis Revisited: Guiding Technology Mapping with Primitive Logic Gate Placement. ICCAD Hongyang Pan, Cunqing Lan, Yiting Liu, Zhiang Wang, Li Shang, Xuan Zeng, Fan Yang, Keren Zhu
2024	J	`jnl`	Physically Aware Synthesis Revisited: Guiding Technology Mapping with Primitive Logic Gate Placement. CoRR Hongyang Pan, Cunqing Lan, Yiting Liu, Zhiang Wang, Li Shang, Xuan Zeng, Fan Yang, Keren Zhu
2024	A	`conf`	Strengthening the Foundations for IC Physical Design and ML EDA Research. ICCAD Vidya A. Chhabria, Vikram Gopalakrishnan, Andrew B. Kahng, Sayak Kundu, Zhiang Wang, Bing-Yue Wu, Dooseok Yoon
2023	A	`conf`	An Open-Source Constraints-Driven General Partitioning Multi-Tool for VLSI Physical Design. ICCAD Ismail Bustany, Grigor Gasparyan, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang
2023	J	`jnl`	An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators. CoRR 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
2023	—	`conf`	Assessment of Reinforcement Learning for Macro Placement. ISPD Chung-Kuan Cheng, Andrew B. Kahng, Sayak Kundu, Yucheng Wang, Zhiang Wang
2023	J	`jnl`	Assessment of Reinforcement Learning for Macro Placement. CoRR Chung-Kuan Cheng, Andrew B. Kahng, Sayak Kundu, Yucheng Wang, Zhiang Wang
2023	J	`jnl`	Hier-RTLMP: A Hierarchical Automatic Macro Placer for Large-scale Complex IP Blocks. CoRR Andrew B. Kahng, Ravi Varadarajan, Zhiang Wang
2023	A	`conf`	Invited Paper: IEEE CEDA DATC Emerging Foundations in IC Physical Design and MLCAD Research. ICCAD Jinwook Jung, Andrew B. Kahng, Sayak Kundu, Zhiang Wang, Dooseok Yoon
2023	J	`jnl`	K-SpecPart: A Supervised Spectral Framework for Multi-Way Hypergraph Partitioning Solution Improvement. CoRR Ismail Bustany, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang
2023	J	`jnl`	Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations. CoRR Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Sean Kinzer, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang
2023	J	`jnl`	SPV-SSD: An Anchor-Free 3D Single-Stage Detector with Supervised-PointRendering and Visibility Representation. Remote. Sens. Lingmei Yin, Wei Tian, Ling Wang, Zhiang Wang, Zhuoping Yu
2022	A	`conf`	IEEE CEDA DATC: Expanding Research Foundations for IC Physical Design and ML-Enabled EDA. ICCAD Jinwook Jung, Andrew B. Kahng, Ravi Varadarajan, Zhiang Wang
2022	—	`conf`	Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms. MLCAD 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
2022	—	`conf`	RTL-MP: Toward Practical, Human-Quality Chip Planning and Macro Placement. ISPD Andrew B. Kahng, Ravi Varadarajan, Zhiang Wang
2022	A	`conf`	SpecPart: A Supervised Spectral Framework for Hypergraph Partitioning Solution Improvement. ICCAD Ismail Bustany, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang
2021	A	`conf`	VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis. ICCAD 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