Zixuan Jiang - RankMe

46 papers A* 7A 4B 1Journal 25Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advances in Deep Learning Applications for Choroidal Images Analysis: A Narrative Review. IET Image Process. Yiwen Shi, Zixuan Jiang, Ziyi Yang, Houjin Chen, Xuemin Li, Jiarui Yang
2026	J	`jnl`	PC-SNN: Predictive coding-based local Hebbian plasticity learning in spiking neural networks. Neurocomputing Haidong Wang, Xiaogang Xiong, Mengting Lan, Yinghao Chu, Zixuan Jiang, KC Santosh, Shimin Wang, Renxin Zhong
2025	J	`jnl`	A Survey of Large Language Model for Drug Research and Development. IEEE Access Huijie Guo, Xudong Xing, Yongjie Zhou, Wenjiao Jiang, Xiaoyi Chen, Ting Wang, Zixuan Jiang, Yibing Wang, Junyan Hou, Yukun Jiang, Jianzhen Xu
2025	J	`jnl`	AnnoDPO: Protein Functional Annotation Learning with Direct Preference Optimization. CoRR Zixuan Jiang, Renjing Xu
2025	J	`jnl`	Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images. CoRR Kaiyu Li, Xiangyong Cao, Ruixun Liu, Shihong Wang, Zixuan Jiang, Zhi Wang, Deyu Meng
2025	J	`jnl`	DescribeEarth: Describe Anything for Remote Sensing Images. CoRR Kaiyu Li, Zixuan Jiang, Xiangyong Cao, Jiayu Wang, Yuchen Xiao, Deyu Meng, Zhi Wang
2025	J	`jnl`	Hierarchical Multi-Label Contrastive Learning for Protein-Protein Interaction Prediction Across Organisms. CoRR Shiyi Liu, Buwen Liang, Yuetong Fang, Zixuan Jiang, Renjing Xu
2025	A*	`conf`	Multi-Floor Zero-Shot Object Navigation Policy. ICRA Lingfeng Zhang, Hao Wang, Erjia Xiao, Xinyao Zhang, Qiang Zhang, Zixuan Jiang, Renjing Xu
2025	J	`jnl`	dq Modeling for Series-Parallel Compensated Wireless Power Transfer Systems. CoRR Zixuan Jiang
2024	B	`conf`	ISOP-Yield: Yield-Aware Stack-Up Optimization for Advanced Package using Machine Learning. ASPDAC Hyunsu Chae, Keren Zhu, Bhyrav Mutnury, Zixuan Jiang, Daniel De Araujo, Douglas Wallace, Douglas Winterberg, Adam R. Klivans, 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	J	`jnl`	Multi-Floor Zero-Shot Object Navigation Policy. CoRR Lingfeng Zhang, Hao Wang, Erjia Xiao, Xinyao Zhang, Qiang Zhang, Zixuan Jiang, Renjing Xu
2024	A	`conf`	TriHelper: Zero-Shot Object Navigation with Dynamic Assistance. IROS Lingfeng Zhang, Qiang Zhang, Hao Wang, Erjia Xiao, Zixuan Jiang, Honglei Chen, Renjing Xu
2024	J	`jnl`	TriHelper: Zero-Shot Object Navigation with Dynamic Assistance. CoRR Lingfeng Zhang, Qiang Zhang, Hao Wang, Erjia Xiao, Zixuan Jiang, Honglei Chen, Renjing Xu
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	—	`conf`	DREAMPlaceFPGA-PL: An Open-Source GPU-Accelerated Packer-Legalizer for Heterogeneous FPGAs. ISPD Rachel Selina Rajarathnam, Zixuan Jiang, Mahesh A. Iyer, David Z. Pan
2023	—	`conf`	Delving into Effective Gradient Matching for Dataset Condensation. COINS Zixuan Jiang, Jiaqi Gu, Mingjie Liu, 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`	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	—	`conf`	NormSoftmax: Normalizing the Input of Softmax to Accelerate and Stabilize Training. COINS Zixuan Jiang, Jiaqi Gu, David Z. Pan
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	A*	`conf`	TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching. ICCV Cheng Fu, Hanxian Huang, Zixuan Jiang, Yun Ni, Lifeng Nai, Gang Wu, Liqun Cheng, Yanqi Zhou, Sheng Li, Andrew Li, Jishen Zhao
2022	—	`conf`	A Tale of EDA's Long Tail: Long-Tailed Distribution Learning for Electronic Design Automation. MLCAD Zixuan Jiang, Mingjie Liu, Zizheng Guo, Shuhan Zhang, Yibo Lin, David Z. Pan
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`	DREAMPlaceFPGA: An Open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit. ASP-DAC Rachel Selina Rajarathnam, Mohamed Baker Alawieh, Zixuan Jiang, Mahesh A. Iyer, David Z. Pan
2022	J	`jnl`	Delving into Effective Gradient Matching for Dataset Condensation. CoRR Zixuan Jiang, Jiaqi Gu, Mingjie Liu, 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	J	`jnl`	PC-SNN: Supervised Learning with Local Hebbian Synaptic Plasticity based on Predictive Coding in Spiking Neural Networks. CoRR Mengting Lan, Xiaogang Xiong, Zixuan Jiang, Yunjiang Lou
2022	—	`conf`	Reinforcement Learning for Electronic Design Automation: Case Studies and Perspectives: (Invited Paper). ASP-DAC Ahmet Faruk Budak, Zixuan Jiang, Keren Zhu, Azalia Mirhoseini, Anna Goldie, David Z. Pan
2021	J	`jnl`	A New Acceleration Paradigm for Discrete CosineTransform and Other Fourier-Related Transforms. CoRR Zixuan Jiang, Jiaqi Gu, David Z. Pan
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	J	`jnl`	DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yibo Lin, Zixuan Jiang, Jiaqi Gu, Wuxi Li, Shounak Dhar, Haoxing Ren, Brucek Khailany, David Z. Pan
2021	—	`conf`	Delving into Macro Placement with Reinforcement Learning. MLCAD Zixuan Jiang, Ebrahim M. Songhori, Shen Wang, Anna Goldie, Azalia Mirhoseini, Joe W. J. Jiang, Young-Joon Lee, David Z. Pan
2021	J	`jnl`	Delving into Macro Placement with Reinforcement Learning. CoRR Zixuan Jiang, Ebrahim M. Songhori, Shen Wang, Anna Goldie, Azalia Mirhoseini, Joe W. J. Jiang, Young-Joon Lee, David Z. Pan
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	A	`conf`	Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. DATE Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi, Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa, Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. Abreu, Isac de Souza Campos, Augusto Andre Souza Berndt, Cristina Meinhardt, Jônata Tyska Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit Onur Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee
2021	J	`jnl`	Optimizer Fusion: Efficient Training with Better Locality and Parallelism. CoRR Zixuan Jiang, Jiaqi Gu, Mingjie Liu, Keren Zhu, David Z. Pan
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	—	`conf`	An Efficient Training Framework for Reversible Neural Architectures. ECCV (27) Zixuan Jiang, Keren Zhu, Mingjie Liu, Jiaqi Gu, David Z. Pan
2020	A	`conf`	DREAMPlace 3.0: Multi-Electrostatics Based Robust VLSI Placement with Region Constraints. ICCAD Jiaqi Gu, Zixuan Jiang, Yibo Lin, David Z. Pan
2020	J	`jnl`	Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. CoRR Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi, Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa Jr., Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. Abreu, Isac de Souza Campos, Augusto Andre Souza Berndt, Cristina Meinhardt, Jônata Tyska Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit Onur Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee
2019	A	`conf`	Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning. ICCAD Chengyue Gong, Zixuan Jiang, Dilin Wang, Yibo Lin, Qiang Liu, David Z. Pan