Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning. - ChengYue Gong; Zixuan Jiang; Dilin Wang; Yibo Lin; Qiang Liu 001; David Z. Pan (ICCAD, 2019)

An Efficient Training Framework for Reversible Neural Architectures. - Zixuan Jiang; Keren Zhu 001; Mingjie Liu; Jiaqi Gu 002; David Z. Pan (ECCV (27), 2020)

DREAMPlace 3.0: Multi-Electrostatics Based Robust VLSI Placement with Region Constraints. - Jiaqi Gu 002; Zixuan Jiang; Yibo Lin; David Z. Pan (ICCAD, 2020)

Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. - 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; et al. (DATE, 2021)

Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation. - Jiaqi Gu 002; Hanqing Zhu; Chenghao Feng; Mingjie Liu; Zixuan Jiang; Ray T. Chen; David Z. Pan (ICCV, 2021)

Delving into Macro Placement with Reinforcement Learning. - Zixuan Jiang; Ebrahim M. Songhori; Shen Wang; Anna Goldie; Azalia Mirhoseini; Joe W. J. Jiang; Young-Joon Lee; David Z. Pan (MLCAD, 2021)

L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization. - Jiaqi Gu 002; Hanqing Zhu; Chenghao Feng; Zixuan Jiang; Ray T. Chen; David Z. Pan (NeurIPS, 2021)

Optimizer Fusion: Efficient Training with Better Locality and Parallelism. - Zixuan Jiang; Jiaqi Gu 002; Mingjie Liu; Keren Zhu 001; David Z. Pan (CoRR, 2021)

A New Acceleration Paradigm for Discrete CosineTransform and Other Fourier-Related Transforms. - Zixuan Jiang; Jiaqi Gu 002; David Z. Pan (CoRR, 2021)

DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement. - Yibo Lin; Zixuan Jiang; Jiaqi Gu 002; Wuxi Li; Shounak Dhar; Haoxing Ren; Brucek Khailany; David Z. Pan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

Reinforcement Learning for Electronic Design Automation: Case Studies and Perspectives: (Invited Paper). - Ahmet Faruk Budak; Zixuan Jiang; Keren Zhu 001; Azalia Mirhoseini; Anna Goldie; David Z. Pan (ASP-DAC, 2022)

DREAMPlaceFPGA: An Open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit. - Rachel Selina Rajarathnam; Mohamed Baker Alawieh; Zixuan Jiang; Mahesh A. Iyer; David Z. Pan (ASP-DAC, 2022)

ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement. - Hanqing Zhu; Jiaqi Gu 002; Chenghao Feng; Mingjie Liu; Zixuan Jiang; Ray T. Chen; David Z. Pan (ASP-DAC, 2022)

ADEPT: automatic differentiable DEsign of photonic tensor cores. - Jiaqi Gu 002; Hanqing Zhu; Chenghao Feng; Zixuan Jiang; Mingjie Liu; Shuhan Zhang; Ray T. Chen; David Z. Pan (DAC, 2022)

A Tale of EDA's Long Tail: Long-Tailed Distribution Learning for Electronic Design Automation. - Zixuan Jiang; Mingjie Liu; Zizheng Guo; Shuhan Zhang; Yibo Lin; David Z. Pan (MLCAD, 2022)

PC-SNN: Supervised Learning with Local Hebbian Synaptic Plasticity based on Predictive Coding in Spiking Neural Networks. - Mengting Lan; Xiaogang Xiong; Zixuan Jiang; Yunjiang Lou (CoRR, 2022)

Delving into Effective Gradient Matching for Dataset Condensation. - Zixuan Jiang; Jiaqi Gu 002; Mingjie Liu; David Z. Pan (COINS, 2023)

NormSoftmax: Normalizing the Input of Softmax to Accelerate and Stabilize Training. - Zixuan Jiang; Jiaqi Gu 002; David Z. Pan (COINS, 2023)

TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching. - Cheng Fu 002; Hanxian Huang; Zixuan Jiang; Yun Ni; Lifeng Nai; Gang Wu; Liqun Cheng; Yanqi Zhou; Sheng Li 007; Andrew Li; Jishen Zhao (ICCV, 2023)

DREAMPlaceFPGA-PL: An Open-Source GPU-Accelerated Packer-Legalizer for Heterogeneous FPGAs. - Rachel Selina Rajarathnam; Zixuan Jiang; Mahesh A. Iyer; David Z. Pan (ISPD, 2023)

Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers. - Zixuan Jiang; Jiaqi Gu 002; Hanqing Zhu; David Z. Pan (NeurIPS, 2023)

M3ICRO: Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interference. - Jiaqi Gu 002; Hanqing Zhu; Chenghao Feng; Zixuan Jiang; Ray T. Chen; David Z. Pan (CoRR, 2023)

DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator. - Hanqing Zhu; Jiaqi Gu 002; Hanrui Wang 002; Zixuan Jiang; Zhekai Zhang; Rongxin Tang; Chenghao Feng; Song Han 003; Ray T. Chen; David Z. Pan (CoRR, 2023)

ELight: Toward Efficient and Aging-Resilient Photonic In-Memory Neurocomputing. - Hanqing Zhu; Jiaqi Gu 002; Chenghao Feng; Mingjie Liu; Zixuan Jiang; Ray T. Chen; David Z. Pan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

ISOP-Yield: Yield-Aware Stack-Up Optimization for Advanced Package using Machine Learning. - Hyunsu Chae; Keren Zhu 001; Bhyrav Mutnury; Zixuan Jiang; Daniel De Araujo; Douglas Wallace; Douglas Winterberg; Adam R. Klivans; David Z. Pan (ASPDAC, 2024)

Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator. - Hanqing Zhu; Jiaqi Gu 002; Hanrui Wang 002; Zixuan Jiang; Zhekai Zhang; Rongxing Tang; Chenghao Feng; Song Han 003; Ray T. Chen; David Z. Pan (HPCA, 2024)

TriHelper: Zero-Shot Object Navigation with Dynamic Assistance. - Lingfeng Zhang; Qiang Zhang 029; Hao Wang; Erjia Xiao; Zixuan Jiang; Honglei Chen; Renjing Xu (IROS, 2024)

Multi-Floor Zero-Shot Object Navigation Policy. - Lingfeng Zhang; Hao Wang; Erjia Xiao; Xinyao Zhang; Qiang Zhang 029; Zixuan Jiang; Renjing Xu (CoRR, 2024)

A Survey of Large Language Model for Drug Research and Development. - Huijie Guo; Xudong Xing; Yongjie Zhou; Wenjiao Jiang; Xiaoyi Chen; Ting Wang; Zixuan Jiang; Yibing Wang; Junyan Hou; Yukun Jiang; Jianzhen Xu (IEEE Access, 2025)

AnnoDPO: Protein Functional Annotation Learning with Direct Preference Optimization. - Zixuan Jiang; Renjing Xu (CoRR, 2025)

Hierarchical Multi-Label Contrastive Learning for Protein-Protein Interaction Prediction Across Organisms. - Shiyi Liu; Buwen Liang; Yuetong Fang; Zixuan Jiang; Renjing Xu (CoRR, 2025)

dq Modeling for Series-Parallel Compensated Wireless Power Transfer Systems. - Zixuan Jiang (CoRR, 2025)