GuirlVG: Incentivize GUI Visual Grounding via Empirical Exploration on Reinforcement Learning

Weitai Kang, Bin Lei, Gaowen Liu, Caiwen Ding, Yan Yan

ml systems llm agents

ICLR 2026

ULD-Net: Enabling UltraLow-Degree Fully Polynomial Networks for Homomorphically Encrypted Inference

Xi Xie, Ran Ran, Jiahui Zhao, Bin Lei, Zhijie Jerry Shi, Wujie Wen, Caiwen Ding

privacy ml ml systems

ICLR 2026

HDLxGraph: Bridging Large Language Models and HDL Repositories via HDL Graph Databases

Pingqing Zheng, Jiayin Qin, Fuqi Zhang, Niraj Chitla, Zishen Wan, Shang Wu, Yu Cao, Caiwen Ding, Yang Zhao

ml for eda llm agents

ASP-DAC 2026

InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction

Bin Lei, Weitai Kang, Zijian Zhang, Winson Chen, Xi Xie, Shan Zuo, Mimi Xie, Ali Payani, Mingyi Hong, Yan Yan, Caiwen Ding

llm agents ml systems

NeurIPS 2025

Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning

Qitao Tan, Jun Liu, Zheng Zhan, Caiwen Ding, Yanzhi Wang, Xiaolong Ma, Jaewoo Lee, Jin Lu, Geng Yuan

ml systems

NeurIPS 2025

MAHL: Multi-Agent LLM-Guided Hierarchical Chiplet Design with Adaptive Debugging

Jinwei Tang, Jiayin Qin, Nuo Xu, Pragnya Sudershan Nalla, Yu Cao, Yang Zhao, Caiwen Ding

ml for eda llm agents

ICCAD 2025

GROOT: Graph Edge Re-growth and Partitioning for the Verification of Large Designs in Logic Synthesis

Kiran Thorat, Hongwu Peng, Yuebo Luo, Xi Xie, Shaoyi Huang, Amit Hasan, Jiahui Zhao, Yingjie Li, Zhijie Shi, Cunxi Yu, Caiwen Ding

ml for eda gnn

ICCAD 2025

HiVeGen: Hierarchical LLM-based Verilog Generation for Scalable Chip Design

Jinwei Tang, Jiayin Qin, Kiran Thorat, Chen Zhu-Tian, Yu Cao, Yang Zhao, Caiwen Ding

ml for eda llm agents

ICLAD 2025
Best Paper Award

Advancing Adversarial Robustness in GNeRFs: The IL2-NeRF Attack

Nicole Meng, Caleb Manicke, Ronak Sahu, Caiwen Ding, Yingjie Lao

cv nlp

CVPR 2025

RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs

Xi Xie*, Yuebo Luo*, Hongwu Peng*, Caiwen Ding

ml systems architecture

ICLR 2025

Position-Enhanced Gradient Attack (PEGA) on Medical Language Models

Nuo Xu, Christopher Stanley, John Gounley, Heidi Hanson, Chang Ge, Caiwen Ding

privacy ml cv nlp

MMAsia 2025

DR-CircuitGNN: Training Acceleration of Heterogeneous Circuit Graph Neural Network on GPUs

Yuebo Luo, Shiyang Li, Junran Tao, Kiran Gautam Thorat, Xi Xie, Hongwu Peng, Nuo Xu, Caiwen Ding, Shaoyi Huang

gnn architecture

ICS 2025

Graph Convolutional Network Acceleration Using Adiabatic Superconductor Josephson Devices

Zhengang Li, Hongwu Peng, Xuan Shen, Masoud Zabihi, Xi Xie, Geng Yuan, Yanzhi Wang, Olivia Chen, Caiwen Ding

gnn emerging tech

ICS 2025

TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs

Kiran Thorat, Amit Hasan, Caiwen Ding, Zhijie Shi

gnn ml for eda

IJCNN 2025

LUMEN-PRO: Automating Multi-Task Learning on Optical Neural Networks with Weight Sharing and Physical Rotation

Shanglin Zhou, Yingjie Li, Weilu Gao, Cunxi Yu, Caiwen Ding

emerging tech

Scientific Reports 2025

MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems

Bin Lei, Yi Zhang, Shan Zuo, Ali Payani, Caiwen Ding

NeurIPS 2024

Additional Conference Publications

1. AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation
   Shengkun Tang, Yaqing Wang, Caiwen Ding, Yi Liang, Yao Li, Dongkuan Xu
   ECCV 2024
2. AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing
   Tong Zhou, Jiahui Zhao, Yukui Luo, Xi Xie, Wujie Wen, Caiwen Ding, Xiaolin Xu
   ICCAD 2024
3. MaxK-GNN: Towards Theoretical Speed Limits for Accelerating Graph Neural Networks Training
   Hongwu Peng*, Xi Xie*, Kaustubh Shivdikar, MD Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David Kaeli, Caiwen Ding
   ASPLOS 2024
4. PruneGNN: An Optimized Algorithm-Hardware Framework for Graph Neural Network Pruning
   Deniz Gurevin, Mohsin Shan, Shaoyi Huang, MD Amit Hasan, Caiwen Ding, Omer Khan
   HPCA 2024
5. Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs
   Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin Barker, Ang Li
   ICPE 2024
6. Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers
   Zhengang Li, Alec Lu, Yanyue Xie, Zhenglun Kong, Mengshu Sun, Hao Tang, Zhong Jia Xue, Peiyan Dong, Caiwen Ding, Yanzhi Wang, Xue Lin, Zhenman Fang
   ICS 2024
7. A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum-Flux-Parametron Superconducting Circuits
   Yanyue Xie, Peiyan Dong, Geng Yuan, Zhengang Li, Masoud Zabihi, Chao Wu, Sung-En Chang, Xufeng Zhang, Xue Lin, Caiwen Ding, Nobuyuki Yoshikawa, Olivia Chen, Yanzhi Wang
   DATE 2024
8. LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference
   Hongwu Peng*, Ran Ran*, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
   NeurIPS 2023
9. AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization
   Yukui Luo, Nuo Xu, Hongwu Peng, Chenghong Wang, Shijin Duan, Kaleel Mahmood, Wujie Wen, Caiwen Ding, Xiaolin Xu
   MICRO 2023
10. Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks
    Xi Xie*, Hongwu Peng*, MD Amit Hasan, Shaoyi Huang, Jiahui Zhao, Haowen Fang, Wei Zhang, Tong Geng, Omer Khan, Caiwen Ding
    ICCAD 2023
11. AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
    Hongwu Peng*, Shaoyi Huang*, Tong Zhou*, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding
    ICCV 2023
12. SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference
    Ran Ran, Xinwei Luo, Wei Wang, Tao Liu, Gang Quan, Xiaolin Xu, Caiwen Ding, Wujie Wen
    ICML 2023
13. Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering
    Ce Feng*, Nuo Xu*, Wujie Wen, Parv Venkitasubramaniam, Caiwen Ding
    IEEE S&P (Oakland) 2023
14. Towards Lossless Head Pruning through Automatic Peer Distillation for Large Language Models
    Bingbing Li, Zigeng Wang, Shaoyi Huang, Mikhail Bragin, Ji Li, Caiwen Ding
    IJCAI 2023
15. TANGO: Re-Thinking Quantization for Graph Neural Network Training on GPUs
    Shiyang Chen, Da Zheng, Caiwen Ding, Chengying Huan, Yuede Ji, Hang Liu
    SC 2023
16. You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model
    Shengkun Tang, Yaqing Wang, Zhenglun Kong, Tianchi Zhang, Yao Li, Caiwen Ding, Yanzhi Wang, Yi Liang, Dongkuan Xu
    CVPR 2023
17. Accelerating Dataset Distillation via Model Augmentation
    Lei Zhang*, Jie Zhang*, Bowen Lei, Subhabrata Mukherjee, Xiang Pan, Bo Zhao, Caiwen Ding, Yao Li, Dongkuan Xu
    CVPR 2023
18. Creating a Dataset Supporting Translation Between OpenMP Fortran and C++ Code
    Bin Lei, Caiwen Ding, Le Chen, Pei-Hung Lin, Chunhua Liao
    HPEC 2023 Outstanding Student Paper Award
19. PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment
    Hongwu Peng*, Shanglin Zhou*, Yukui Luo*, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
    DAC 2023
20. Physics-aware Roughness Optimization for Diffractive Optical Neural Networks
    Shanglin Zhou*, Yingjie Li*, Minhan Lou, Weilu Gao, Zhijie Shi, Cunxi Yu, Caiwen Ding
    DAC 2023
21. Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off
    Shaoyi Huang, Bowen Lei, Dongkuan Xu, Hongwu Peng, Yue Sun, Mimi Xie, Caiwen Ding
    DAC 2023
22. Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration
    Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding
    DAC 2023
23. Workload Balancing to Unlock Extreme Parallelism for Graph Neural Network Acceleration
    Mohsin Shan, Deniz Gurevin, Jared Nye, Caiwen Ding, Omer Khan
    ISPASS 2023
24. Uncertainty Quantification of Collaborative Detection for Self-Driving
    Sanbao Su, Yiming Li, Sihong He, Songyang Han, Chen Feng, Caiwen Ding, Fei Miao
    ICRA 2023
25. FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator
    Geng Yuan*, Payman Behnam*, Ali Shafiee, Zhengang Li, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Bojnordi, Yanzhi Wang, Caiwen Ding
    ISCA 2021
26. CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-Circulant Weight Matrices
    Caiwen Ding, Yanzhi Wang, Siyu Liao, Zhe Li, Yu Bai, et al.
    MICRO 2017
27. REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs
    Caiwen Ding*, Shuo Wang*, Ning Liu, Kaidi Xu, Yanzhi Wang, Yun Liang
    FPGA 2019
28. E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs
    Zhe Li*, Caiwen Ding*, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Yanzhi Wang
    HPCA 2019
29. Analyzing and Defending against Membership Inference Attacks in Natural Language Processing Classification
    Yijue Wang, Nuo Xu, Shaoyi Huang, Kaleel Mahmood, Dan Guo, Caiwen Ding, Wujie Wen, Sanguthevar Rajasekaran
    IEEE BigData 2022
30. Cryptographic Inferences for Video Deep Neural Networks
    Bingyu Liu, Rujia Wang, Zhongjie Ba, Shanglin Zhou, Caiwen Ding, Yuan Hong
    CCS 2022 (Poster)
31. On the Design of Quantum Graph Convolutional Neural Network in the NISQ Era and Beyond
    Zhirui Hu, Jinyang Li, Zhenyu Pan, Shanglin Zhou, Lei Yang, Caiwen Ding, Omer Khan, Tong Geng, Weiwen Jiang
    ICCD 2022
32. Towards Real-time Temporal Graph Learning
    Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan
    ICCD 2022
33. CoDG-ReRAM: An Algorithm-Hardware Co-design to Accelerate Semi-Structured GNNs on ReRAM
    Yixuan Luo*, Payman Behnam*, Kiran Thorat, Zhuo Liu, Hongwu Peng, Shaoyi Huang, Shu Zhou, Omer Khan, Alexey Tumanov, Caiwen Ding, Tong Geng
    ICCD 2022
34. Towards Sparsification of Graph Neural Networks
    Hongwu Peng*, Deniz Gurevin*, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding
    ICCD 2022
35. EVE: Environmental Adaptive Neural Network Models for Low-power Energy Harvesting System
    Sahidul Islam*, Shanglin Zhou*, Ran Ran, Yu-Fang Jin, Wujie Wen, Caiwen Ding, Mimi Xie
    ICCAD 2022
36. All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management
    Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang
    ICCAD 2022
37. Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm
    Shaoyi Huang*, Dongkuan Xu*, Ian En-Hsu Yen, Yijue Wang, Sung-En Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Sanguthevar Rajasekaran, Hang Liu, Caiwen Ding
    ACL 2022
38. A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining
    Hongwu Peng*, Shaoyi Huang*, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
    DAC 2022 Publicity Paper
39. QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity
    Samuel A. Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Shuai Xu, Caiwen Ding
    MLSys 2022
40. Enabling Super-Fast Deep Learning on Tiny Energy-Harvesting IoT Devices
    Sahidul Islam, Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie
    DATE 2022
41. TAG: Transformer Attack from Gradient
    Jieren Deng*, Yijue Wang*, Ji Li, Chenghong Wang, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding
    EMNLP 2021 (Findings)
42. A Secure and Efficient Federated Learning Framework for NLP
    Jieren Deng*, Chenghong Wang*, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding
    EMNLP 2021 (Oral)
43. E.T.: Re-Thinking Self-Attention for Transformer Models on GPUs
    Shiyang Chen*, Shaoyi Huang*, Santosh Pandey, Bingbing Li, Guang Gao, Long Zheng, Caiwen Ding, Hang Liu
    SC 2021
44. Dr.Top-k: Delegate-Centric Top-k Computation on GPUs
    Anil Gaihre, Da Zheng, Scott Weitze, Lingda Li, Shuaiwen Leon Song, Caiwen Ding, Xiaoye S Li, Hang Liu
    SC 2021
45. BFL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery
    Daniel Manu, Yi Sheng, Junhuan Yang, Jieren Deng, Tong Geng, Ang Li, Caiwen Ding, Weiwen Jiang, Lei Yang
    ICCAD 2021
46. Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search
    Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding
    ICCAD 2021
47. Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs
    Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Jinjun Xiong, Yiyu Shi, Weiwen Jiang
    ICCAD 2021 (Invited)
48. Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation
    Deniz Gurevin*, Mikhail Bragin*, Caiwen Ding*, Shanglin Zhou, Lynn Pepin, Bingbing Li, Fei Miao
    IJCAI 2021
49. Against Membership Inference Attack: Pruning is All You Need
    Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran
    IJCAI 2021
50. A Compression-Compilation Framework for On-mobile Real-time BERT Applications
    Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
    IJCAI 2021 (Demo)
51. Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices
    Yuhong Song, Weiwen Jiang, Bingbing Li, Panjie Qi, Qingfeng Zhuge, Edwin Hsing-Mean Sha, Sakyasingha Dasgupta, Yiyu Shi, Caiwen Ding
    DAC 2021
52. A Unified DNN Weight Compression Framework using Reweighted Optimization Methods
    Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Caiwen Ding, Makan Fardad, Yanzhi Wang
    DAC 2021
53. TinyADC: Peripheral Circuit-aware Weight Pruning Framework for Mixed-signal DNN Accelerators
    Geng Yuan*, Payman Behnam*, Yuxuan Cai, Ali Shafiee, Jingyan Fu, Zhiheng Liao, Zhengang Li, Xiaolong Ma, Jieren Deng, Jinhui Wang, Mahdi Bojnordi, Yanzhi Wang, Caiwen Ding
    DATE 2021 Best Paper Award Nomination
54. Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning
    Bingbing Li*, Zhenglun Kong*, Tianyun Zhang, Ji Li, Zhengang Li, Hang Liu, Caiwen Ding
    EMNLP 2020 (Findings)
55. FTRANS: Energy-Efficient Acceleration of Transformers using FPGA
    Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding
    ISLPED 2020
56. Ftdl: A Tailored FPGA-overlay for Deep Learning with High Scalability
    Runbin Shi, Yuhao Ding, Xuechao Wei, He Li, Hang Liu, Hayden So, Caiwen Ding
    DAC 2020
57. A Stochastic-computing Based Deep Learning Framework using Adiabatic Quantum-flux-parametron Superconducting Technology
    Ruizhe Cai, Ao Ren, Olivia Chen, Ning Liu, Caiwen Ding, Xuehai Qian, Jie Han, Wenhui Luo, Yoshikawa Nobuyuki, Yanzhi Wang
    ISCA 2019
58. Towards Ultra-high Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-optimization Framework
    Yanzhi Wang, Caiwen Ding, Gen Yuan, Siyu Liao, Zhe Li, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin
    AAAI 2018
59. VIBNN: Hardware Acceleration of Bayesian Neural Networks
    Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang
    ASPLOS 2018
60. FFT-Based Deep Learning Deployment in Embedded Systems
    Sheng Lin, Ning Liu, Mahdi Nazemi, Hongjia Li, Caiwen Ding, Yanzhi Wang, Massoud Pedram
    DATE 2018 Best Paper Award Nomination
61. SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing
    Ao Ren, Zhe Li, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Ji Li, Xuehai Qian, Bo Yuan
    ASPLOS 2017

Additional Journal Publications

1. Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation
   Sanbao Su, Songyang Han, Yiming Li, Zhili Zhang, Chen Feng, Caiwen Ding, Fei Miao
   IEEE RA-L 2024
2. A Multi-Agent Reinforcement Learning Approach For Safe and Efficient Behavior Planning Of Connected Autonomous Vehicles
   Songyang Han, Shanglin Zhou, Jiangwei Wang, Lynn Pepin, Caiwen Ding, Jie Fu, Fei Miao
   IEEE T-ITS 2023
3. Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning
   Shanglin Zhou, Mikhail A Bragin, Deniz Gurevin, Lynn Pepin, Fei Miao, Caiwen Ding
   ACM TODAES 2023
4. Exploiting Intrinsic Redundancies in Dynamic Graph Neural Networks For Processing Efficiency
   Deniz Gurevin, Caiwen Ding, Omer Khan
   IEEE CAL 2023
5. Deep Learning for Automated Quantification of Irradiation Defects in TEM Data
   Rajat Sainju, Graham Roberts, Wei-Ying Chen, Brian Hutchinson, Qian Yang, Caiwen Ding, Danny J Edwards, Meimei Li, Yuanyuan Zhu
   Microscopy and Microanalysis 2023
6. DefectTrack: A Deep Learning-based Multi-Object Tracking Algorithm for Quantitative Defect Analysis of In-situ TEM Videos in Real-time
   Yuanyuan Zhu, Rajat Sainju, Wei-Ying Chen, Samuel Schaefer, Qian Yang, Caiwen Ding, Meimei Li
   Nature Scientific Reports 2022
7. Memristor-Based Spectral Decomposition of Matrices and Applications
   Zeinab S. Jalali, Chenghong Wang, Griffin Kearney, Geng Yuan, Caiwen Ding, Yinan Zhou, Yanzhi Wang, Sucheta Soundarajan
   IEEE TC 2022
8. Mapping Transformation Enabled High-Performance and Low-Energy Memristor-Based DNNs
   Oli-Uz-Zaman, Md, Saleh Ahmad Khan, Geng Yuan, Zhiheng Liao, Jingyan Fu, Caiwen Ding, Yanzhi Wang, Jinhui Wang
   JLPEA 2022
9. Real-time Multi-Object Tracking of Ion-irradiation Induced Defects in In Situ TEM Videos
   Rajat Sainju, Wei-Ying Chen, Samuel Schaefer, Qian Yang, Caiwen Ding, Meimei Li, Yuanyuan Zhu
   Microscopy and Microanalysis 2022
10. Tracking and Understanding Nanocatalyst Sintering and Regeneration using Deep Learning-assisted In Situ Environmental TEM
    Rajat Sainju, Steven Suib, Caiwen Ding, Yuanyuan Zhu
    Microscopy and Microanalysis 2021
11. Graph-Based Shape Analysis for Heterogeneous Geometric Datasets: Similarity, Retrieval and Substructure Matching
    Jiangce Chen, Horea T. Ilies, Caiwen Ding
    Computer-Aided Design 2021
12. Aerial Manipulation Using a Novel Unmanned Aerial Vehicle Cyber-Physical System
    Caiwu Ding, Hongwu Peng, Lu Lu, Caiwen Ding
    IEEE TCCPS Letter 2021
13. TRUST: Triangle Counting Reloaded on GPUs
    Santosh Pandey, Zhibin Wang, Sheng Zhong, Chen Tian, Bolong Zheng, Xiaoye Li, Lingda Li, Adolfy Hoisie, Caiwen Ding, Dong Li, Hang Liu
    IEEE TPDS 2021
14. Design, Sensing, and Control of a Novel UAV Platform for Aerial Drilling
    Caiwu Ding, Lu Lu, Cong Wang, Caiwen Ding
    IEEE RA-L 2021
15. An Exploratory Approach to Deriving Nutrition Information of Restaurant Food from Crowdsourced Food Images
    Xiang Chen, Evelyn Johnson, Aditya Kulkarni, Caiwen Ding, Natalie Ranelli, Yanyan Chen, Ran Xu
    Nutrients 2021
16. Normalization and Dropout for Stochastic Computing-based Deep Convolutional Neural Networks
    Ji Li, Zihao Yuan, Zhe Li, Ao Ren, Caiwen Ding, Jeffrey Draper, Shahin Nazarian, Qinru Qiu, Bo Yuan, Yanzhi Wang
    Integration, the VLSI Journal 2019
17. Dynamic Reconfiguration of Thermoelectric Generators for Vehicle Radiators Energy Harvesting under Location-dependent Temperature
    Jaemin Kim, Donkyu Baek, Caiwen Ding, Sheng Lin, Donghwa Shin, Xue Lin, et al.
    IEEE TVLSI 2018
18. HEIF: Highly Efficient Stochastic Computing based Inference Framework for Deep Neural Networks
    Zhe Li, Ji Li, Ao Ren, Ruizhe Cai, Caiwen Ding, Xuehai Qian, Jeffrey Draper, Bo Yuan, Jian Tang, Qinru Qiu, Yanzhi Wang
    IEEE TCAD 2018
19. Reconfigurable Photovoltaic Systems for Electric Vehicles
    Caiwen Ding, Hongjia Li, Weiwei Zheng, Xue Lin, Yanzhi Wang
    IEEE Design & Test 2018
20. Multisource Indoor Energy Harvesting for Nonvolatile Processors
    Caiwen Ding, Ning Liu, Yanzhi Wang, Ji Li, Soroush Heidari, Jingtong Hu, Yongpan Liu
    IEEE Design & Test 2017
21. Luminescent Solar Concentrator-Based Reconfigurable Photovoltaic System for EV/HEV
    Yanzhi Wang, Caiwen Ding
    IEEE TCCPS Letter 2016

Workshop & Poster Publications

1. Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles
   Songyang Han, Shanglin Zhou, Lynn Pepin, Jiangwei Wang, Caiwen Ding, Fei Miao
   AAAI DCAA Workshop 2023 Best Paper Award
2. ESMFL: Efficient and Secure Models for Federated Learning
   Sheng Lin, Chenghong Wang, Hongjia Li, Jieren Deng, Yanzhi Wang, Caiwen Ding
   NeurIPS Workshop 2020
3. Ftdl: An FPGA-tailored Architecture for Deep Learning Applications
   Runbin Shi, Yuhao Ding, Xuechao Wei, Hang Liu, Hayden So, Caiwen Ding
   FPGA 2020 (Poster)
4. A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework
   Zheng Zhan, Yifan Gong, Zhengang Li, Wei Niu, Xiaolong Ma, Bin Ren, Caiwen Ding, Xue Lin, Yanzhi Wang
   BARC 2020
5. Accelerating Transformers-based Large-Scale Language Representation using FPGA
   Shanglin Zhou, Bingbing Li, Caiwen Ding
   BARC 2020
6. Deep Compressed Pneumonia Detection for Low-Power Embedded Device
   Hongjia Li, Sheng Lin, Ning Liu, Caiwen Ding, Yanzhi Wang
   MICCAI Workshop 2019
7. Efficient Recurrent Neural Networks using Structured Matrices in FPGAs
   Zhe Li, Shuo Wang, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Yun Liang
   ICLR Workshop 2018