Hanqing Zhu - RankMe

48 papers A* 10A 3B 1C 2Journal 27Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	ENLighten: Lighten the Transformer, Enable Efficient Optical Acceleration. ASP-DAC Hanqing Zhu, Zhican Zhou, Shupeng Ning, Xuhao Wu, Ray T. Chen, Yating Wan, David Z. Pan
2025	J	`jnl`	A Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression. CoRR Shupeng Ning, Hanqing Zhu, Chenghao Feng, Jiaqi Gu, David Z. Pan, Ray T. Chen
2025	—	`conf`	APOLLO: SGD-like Memory, AdamW-level Performance. MLSys Hanqing Zhu, Zhenyu Zhang, Wenyan Cong, Xi Liu, Sem Park, Vikas Chandra, Bo Long, David Z. Pan, Zhangyang Wang, Jinwon Lee
2025	J	`jnl`	Can Test-Time Scaling Improve World Foundation Model? CoRR Wenyan Cong, Hanqing Zhu, Peihao Wang, Bangya Liu, Dejia Xu, Kevin Wang, David Z. Pan, Yan Wang, Zhiwen Fan, Zhangyang Wang
2025	J	`jnl`	ENLighten: Lighten the Transformer, Enable Efficient Optical Acceleration. CoRR Hanqing Zhu, Zhican Zhou, Shupeng Ning, Xuhao Wu, Ray T. Chen, Yating Wan, David Z. Pan
2025	A*	`conf`	INSIGHT: A Universal Neural Simulator Framework for Analog Circuits with Autoregressive Transformers. DAC Souradip Poddar, Youngmin Oh, Yao Lai, Hanqing Zhu, Bosun Hwang, David Z. Pan
2025	A	`conf`	PPAAS: PVT and Pareto Aware Analog Sizing via Goal-conditioned Reinforcement Learning. ICCAD Seunggeun Kim, Ziyi Wang, Sungyoung Lee, Youngmin Oh, Hanqing Zhu, Doyun Kim, David Z. Pan
2025	J	`jnl`	The Path Not Taken: RLVR Provably Learns Off the Principals. CoRR Hanqing Zhu, Zhenyu Zhang, Hanxian Huang, DiJia Su, Zechun Liu, Jiawei Zhao, Igor Fedorov, Hamed Pirsiavash, Zhizhou Sha, Jinwon Lee, David Z. Pan, Zhangyang Wang, Yuandong Tian, Kai Sheng Tai
2024	J	`jnl`	APOLLO: SGD-like Memory, AdamW-level Performance. CoRR Hanqing Zhu, Zhenyu Zhang, Wenyan Cong, Xi Liu, Sem Park, Vikas Chandra, Bo Long, David Z. Pan, Zhangyang Wang, Jinwon Lee
2024	J	`jnl`	INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers. CoRR Souradip Poddar, Youngmin Oh, Yao Lai, Hanqing Zhu, Bosun Hwang, David Z. Pan
2024	A*	`conf`	Inductive Modeling for Realtime Cold Start Recommendations. KDD Chandler Zuo, Jonathan Castaldo, Hanqing Zhu, Haoyu Zhang, Ji Liu, Yangpeng Ou, Xiao Kong
2024	J	`jnl`	LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation. CoRR Guojin Chen, Keren Zhu, Seunggeun Kim, Hanqing Zhu, Yao Lai, Bei Yu, David Z. Pan
2024	A*	`conf`	Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator. HPCA Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxing Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan
2024	A*	`conf`	PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices. NeurIPS Hanqing Zhu, Wenyan Cong, Guojin Chen, Shupeng Ning, Ray T. Chen, Jiaqi Gu, David Z. Pan
2024	J	`jnl`	PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices. CoRR Hanqing Zhu, Wenyan Cong, Guojin Chen, Shupeng Ning, Ray T. Chen, Jiaqi Gu, David Z. Pan
2024	J	`jnl`	Photonic-Electronic Integrated Circuits for High-Performance Computing and AI Accelerator. CoRR Shupeng Ning, Hanqing Zhu, Chenghao Feng, Jiaqi Gu, Zhixing Jiang, Zhoufeng Ying, Jason Midkiff, Sourabh Jain, May H. Hlaing, David Z. Pan, Ray T. Chen
2023	C	`conf`	A High Resolution SAR Imaging Method for Moving Target Based on Range Doppler and Particle Swarm Optimization Algorithm. IGARSS Dajiang Zhou, Hanqing Zhu, Yulin Huang, Yongchao Zhang, Jianyu Yang, Qingying Yi
2023	J	`jnl`	DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator. CoRR Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxin Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan
2023	J	`jnl`	DREAMPlaceFPGA-MP: An Open-Source GPU-Accelerated Macro Placer for Modern FPGAs with Cascade Shapes and Region Constraints. CoRR Zhili Xiong, Rachel Selina Rajarathnam, Zhixing Jiang, Hanqing Zhu, David Z. Pan
2023	J	`jnl`	ELight: Toward Efficient and Aging-Resilient Photonic In-Memory Neurocomputing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan
2023	J	`jnl`	Integrated multi-operand optical neurons for scalable and hardware-efficient deep learning. CoRR Chenghao Feng, Jiaqi Gu, Hanqing Zhu, Rongxing Tang, Shupeng Ning, May Hlaing, Jason Midkiff, Sourabh Jain, David Z. Pan, Ray T. Chen
2023	J	`jnl`	M3ICRO: Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interference. CoRR Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan
2023	C	`conf`	Moving Target Detection Method for Passive Radar Using LEO Communication Satellite Constellation. IGARSS Hanqing Zhu, Dajiang Zhou, Zhongyu Li, Hongyang An, Chuan Huang, Yun Zhou, Jianyu Yang
2023	A*	`conf`	Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers. NeurIPS Zixuan Jiang, Jiaqi Gu, Hanqing Zhu, David Z. Pan
2023	J	`jnl`	Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers. CoRR Zixuan Jiang, Jiaqi Gu, Hanqing Zhu, David Z. Pan
2023	J	`jnl`	SqueezeLight: A Multi-Operand Ring-Based Optical Neural Network With Cross-Layer Scalability. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jiaqi Gu, Chenghao Feng, Hanqing Zhu, Zheng Zhao, Zhoufeng Ying, Mingjie Liu, Ray T. Chen, David Z. Pan
2023	J	`jnl`	The Design, Education and Evolution of a Robotic Baby. IEEE Trans. Robotics Hanqing Zhu, Sean Wilson, Eric Feron
2023	—	`—`	The design, education and evolution of a robotic baby. Hanqing Zhu
2022	A*	`conf`	ADEPT: automatic differentiable DEsign of photonic tensor cores. DAC Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Mingjie Liu, Shuhan Zhang, Ray T. Chen, David Z. Pan
2022	—	`conf`	ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement. ASP-DAC Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan
2022	A	`conf`	Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration. ICCAD Hanqing Zhu, Keren Zhu, Jiaqi Gu, Harrison Jin, Ray T. Chen, Jean Anne C. Incorvia, David Z. Pan
2022	J	`jnl`	Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration. CoRR Hanqing Zhu, Keren Zhu, Jiaqi Gu, Harrison Jin, Ray T. Chen, Jean Anne C. Incorvia, David Z. Pan
2022	J	`jnl`	Light in AI: Toward Efficient Neurocomputing With Optical Neural Networks - A Tutorial. IEEE Trans. Circuits Syst. II Express Briefs Jiaqi Gu, Chenghao Feng, Hanqing Zhu, Ray T. Chen, David Z. Pan
2022	A*	`conf`	NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation. NeurIPS Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, Duane S. Boning, David Z. Pan
2022	J	`jnl`	NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation. CoRR Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, Duane S. Boning, David Z. Pan
2022	J	`jnl`	Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search. CoRR Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, Xing Xie
2022	A*	`conf`	Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search. KDD Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Weiwei Deng, Qi Zhang, Xing Xie
2021	J	`jnl`	ADEPT: Automatic Differentiable DEsign of Photonic Tensor Cores. CoRR Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Mingjie Liu, Shuhan Zhang, Ray T. Chen, David Z. Pan
2021	—	`conf`	An Analytical Model for Normative Financial Texts and Research on Financial Strategies in an Intelligent Multi-factor Framework. DASC/PiCom/CBDCom/CyberSciTech Wei Zhang, Hanqing Zhu, Zhigang Gao
2021	J	`jnl`	ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement. CoRR Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan
2021	A*	`conf`	L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization. NeurIPS Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan
2021	J	`jnl`	L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization. CoRR Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan
2021	J	`jnl`	Silicon photonic subspace neural chip for hardware-efficient deep learning. CoRR Chenghao Feng, Jiaqi Gu, Hanqing Zhu, Zhoufeng Ying, Zheng Zhao, David Z. Pan, Ray T. Chen
2021	A*	`conf`	Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation. ICCV Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan
2021	J	`jnl`	Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation. CoRR Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan
2020	A	`conf`	ROQ: A Noise-Aware Quantization Scheme Towards Robust Optical Neural Networks with Low-bit Controls. DATE Jiaqi Gu, Zheng Zhao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, David Z. Pan
2017	J	`jnl`	A Rule-Based Computational Model of Cognitive Arithmetic. CoRR Ashis Pati, Kantwon Rogers, Hanqing Zhu
2015	B	`conf`	MDTC: An efficient approach to TCAM-based multidimensional table compression. Networking Hanqing Zhu, Mingwei Xu, Qing Li, Jun Li, Yuan Yang, Suogang Li