| 2026 | WACV | SafeguardGS: 3D Gaussian Primitive Pruning While Avoiding Catastrophic Scene Destruction. | Yongjae Lee, Zhaoliang Zhang, Deliang Fan |
| 2025 | ASPDAC | Learning to Prune and Low-Rank Adaptation for Compact Language Model Deployment. | Asmer Hamid Ali, Fan Zhang, Li Yang, Deliang Fan |
| 2025 | CVPR | Closest Neighbors are Harmful for Lightweight Masked Auto-encoders. | Jian Meng, Ahmed Hassan, Li Yang, Deliang Fan, Jinwoo Shin, Jae-sun Seo |
| 2025 | ISLPED | TEE-SFL: Time and Energy-efficient solution for addressing communication heterogeneity in Split Federated Learning Schemes. | Ziyi Zhao, Qifeng Chen, Jingtao Li, Deliang Fan, Chaitali Chakrabarti |
| 2025 | WACV | MFNeRF: Memory Efficient NeRF with Mixed-Feature Hash Table. | Yongjae Lee, Li Yang, Deliang Fan |
| 2024 | AAAI | EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning. | Jingtao Li, Xing Chen, Li Yang, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti |
| 2024 | DAC | Hyb-Learn: A Framework for On-Device Self-Supervised Continual Learning with Hybrid RRAM/SRAM Memory. | Fan Zhang, Li Yang, Deliang Fan |
| 2024 | DAC | Efficient Memory Integration: MRAM-SRAM Hybrid Accelerator for Sparse On-Device Learning. | Fan Zhang, Amitesh Sridharan, Wilman Tsai, Yiran Chen, Shan X. Wang, Deliang Fan |
| 2024 | DAC | Improving the Efficiency of In-Memory-Computing Macro with a Hybrid Analog-Digital Computing Mode for Lossless Neural Network Inference. | Qilin Zheng, Ziru Li, Jonathan Ku, Yitu Wang, Brady Taylor, Deliang Fan, Yiran Chen |
| 2024 | SP | DeepShuffle: A Lightweight Defense Framework against Adversarial Fault Injection Attacks on Deep Neural Networks in Multi-Tenant Cloud-FPGA. | Yukui Luo, Adnan Siraj Rakin, Deliang Fan, Xiaolin Xu |
| 2023 | DAC | DSPIMM: A Fully Digital SParse In-Memory Matrix Vector Multiplier for Communication Applications. | Amitesh Sridharan, Fan Zhang, Yang Sui, Bo Yuan, Deliang Fan |
| 2022 | AAAI | Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification. | Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao |
| 2022 | ACSSC | Efficient Multi-task Adaption for Crossbar-based In-Memory Computing. | Fan Zhang, Li Yang, Deliang Fan |
| 2022 | ASPDAC | XBM: A Crossbar Column-wise Binary Mask Learning Method for Efficient Multiple Task Adaption. | Fan Zhang, Li Yang, Jian Meng, Yu Kevin Cao, Jae-sun Seo, Deliang Fan |
| 2022 | CVPR | ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. | Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti |
| 2022 | CVPR | Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning. | Jian Meng, Li Yang, Jinwoo Shin, Deliang Fan, Jae-Sun Seo |
| 2022 | CVPR | DA | Li Yang, Adnan Siraj Rakin, Deliang Fan |
| 2022 | CVPR | RepNet: Efficient On-Device Learning via Feature Reprogramming. | Li Yang, Adnan Siraj Rakin, Deliang Fan |
| 2022 | DAC | XMA: a crossbar-aware multi-task adaption framework via shift-based mask learning method. | Fan Zhang, Li Yang, Jian Meng, Jae-sun Seo, Yu Kevin Cao, Deliang Fan |
| 2022 | DATE | XST: A Crossbar Column-wise Sparse Training for Efficient Continual Learning. | Fan Zhang, Li Yang, Jian Meng, Jae-Sun Seo, Yu Cao, Deliang Fan |
| 2022 | ICLR | TRGP: Trust Region Gradient Projection for Continual Learning. | Sen Lin, Li Yang, Deliang Fan, Junshan Zhang |
| 2022 | SP | DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories. | Adnan Siraj Rakin, Md Hafizul Islam Chowdhuryy, Fan Yao, Deliang Fan |
| 2021 | ASPDAC | Dynamic Neural Network to Enable Run-Time Trade-off between Accuracy and Latency. | Li Yang, Deliang Fan |
| 2021 | CVPR | KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning. | Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan |
| 2021 | DAC | Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks. | Sai Kiran Cherupally, Adnan Siraj Rakin, Shihui Yin, Mingoo Seok, Deliang Fan, Jae-sun Seo |
| 2021 | DAC | Max-PIM: Fast and Efficient Max/Min Searching in DRAM. | Fan Zhang, Shaahin Angizi, Deliang Fan |
| 2021 | DAC | PIM-Quantifier: A Processing-in-Memory Platform for mRNA Quantification. | Fan Zhang, Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang, Deliang Fan |
| 2021 | DATE | RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. | Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, Chaitali Chakrabarti |
| 2021 | ICCAD | RNSiM: Efficient Deep Neural Network Accelerator Using Residue Number Systems. | Arman Roohi, MohammadReza Taheri, Shaahin Angizi, Deliang Fan |
| 2021 | MASS | MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. | Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang |
| 2020 | AAAI | Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks. | Li Yang, Zhezhi He, Deliang Fan |
| 2020 | ASPDAC | A Flexible Processing-in-Memory Accelerator for Dynamic Channel-Adaptive Deep Neural Networks. | Li Yang, Shaahin Angizi, Deliang Fan |
| 2020 | ASPDAC | Representable Matrices: Enabling High Accuracy Analog Computation for Inference of DNNs using Memristors. | Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz |
| 2020 | CVPR | Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. | Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti, Deliang Fan |
| 2020 | CVPR | TBT: Targeted Neural Network Attack With Bit Trojan. | Adnan Siraj Rakin, Zhezhi He, Deliang Fan |
| 2020 | DAC | PIM-Assembler: A Processing-in-Memory Platform for Genome Assembly. | Shaahin Angizi, Naima Ahmed Fahmi, Wei Zhang, Deliang Fan |
| 2020 | DAC | Defending Bit-Flip Attack through DNN Weight Reconstruction. | Jingtao Li, Adnan Siraj Rakin, Yan Xiong, Liangliang Chang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti |
| 2020 | DAC | Non-uniform DNN Structured Subnets Sampling for Dynamic Inference. | Li Yang, Zhezhi He, Yu Cao, Deliang Fan |
| 2020 | DATE | PIM-Aligner: A Processing-in-MRAM Platform for Biological Sequence Alignment. | Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan |
| 2020 | ISLPED | FeFET-based low-power bitwise logic-in-memory with direct write-back and data-adaptive dynamic sensing interface. | Mingyen Lee, Wenjun Tang, Bowen Xue, Juejian Wu, Mingyuan Ma, Yu Wang, Yongpan Liu, Deliang Fan, Vijaykrishnan Narayanan, Huazhong Yang, Xueqing Li |
| 2019 | ASPDAC | ParaPIM: a parallel processing-in-memory accelerator for binary-weight deep neural networks. | Shaahin Angizi, Zhezhi He, Deliang Fan |
| 2019 | ASPDAC | Handling stuck-at-faults in memristor crossbar arrays using matrix transformations. | Baogang Zhang, Necati Uysal, Deliang Fan, Rickard Ewetz |
| 2019 | CVPR | Defending Against Adversarial Attacks Using Random Forest. | Yifan Ding, Liqiang Wang, Huan Zhang, Jinfeng Yi, Deliang Fan, Boqing Gong |
| 2019 | CVPR | Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation. | Zhezhi He, Deliang Fan |
| 2019 | CVPR | Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack. | Zhezhi He, Adnan Siraj Rakin, Deliang Fan |
| 2019 | DAC | AlignS: A Processing-In-Memory Accelerator for DNA Short Read Alignment Leveraging SOT-MRAM. | Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan |
| 2019 | DAC | Noise Injection Adaption: End-to-End ReRAM Crossbar Non-ideal Effect Adaption for Neural Network Mapping. | Zhezhi He, Jie Lin, Rickard Ewetz, Jiann-Shiun Yuan, Deliang Fan |
| 2019 | DATE | GraphS: A Graph Processing Accelerator Leveraging SOT-MRAM. | Shaahin Angizi, Jiao Sun, Wei Zhang, Deliang Fan |
| 2019 | ICCAD | ReDRAM: A Reconfigurable Processing-in-DRAM Platform for Accelerating Bulk Bit-Wise Operations. | Shaahin Angizi, Deliang Fan |
| 2019 | ICCV | Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search. | Adnan Siraj Rakin, Zhezhi He, Deliang Fan |
| 2019 | WACV | Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy. | Zhezhi He, Boqing Gong, Deliang Fan |
| 2018 | ASPDAC | IMCE: Energy-efficient bit-wise in-memory convolution engine for deep neural network. | Shaahin Angizi, Zhezhi He, Farhana Parveen, Deliang Fan |
| 2018 | ASPDAC | HielM: Highly flexible in-memory computing using STT MRAM. | Farhana Parveen, Zhezhi He, Shaahin Angizi, Deliang Fan |
| 2018 | DAC | PIMA-logic: a novel processing-in-memory architecture for highly flexible and energy-efficient logic computation. | Shaahin Angizi, Zhezhi He, Deliang Fan |
| 2018 | DAC | CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator. | Shaahin Angizi, Zhezhi He, Adnan Siraj Rakin, Deliang Fan |
| 2018 | ICCAD | DIMA: a depthwise CNN in-memory accelerator. | Shaahin Angizi, Zhezhi He, Deliang Fan |
| 2018 | ICCD | PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks. | Adnan Siraj Rakin, Shaahin Angizi, Zhezhi He, Deliang Fan |
| 2018 | ISLPED | A Fully Onchip Binarized Convolutional Neural Network FPGA Impelmentation with Accurate Inference. | Li Yang, Zhezhi He, Deliang Fan |
| 2018 | WACV | A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels. | Yifan Ding, Liqiang Wang, Deliang Fan, Boqing Gong |
| 2017 | DATE | A tunable magnetic skyrmion neuron cluster for energy efficient artificial neural network. | Zhezhi He, Deliang Fan |
| 2017 | ICCAD | Design of accurate stochastic number generators with noisy emerging devices for stochastic computing. | Meng Yang, John P. Hayes, Deliang Fan, Weikang Qian |
| 2017 | ICCD | Energy Efficient In-Memory Binary Deep Neural Network Accelerator with Dual-Mode SOT-MRAM. | Deliang Fan, Shaahin Angizi |
| 2017 | ICCD | Exploring STT-MRAM Based In-Memory Computing Paradigm with Application of Image Edge Extraction. | Zhezhi He, Shaahin Angizi, Deliang Fan |
| 2017 | ISCAS | Hybrid polymorphic logic gate using 6 terminal magnetic domain wall motion device. | Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan |
| 2017 | ISLPED | Low power in-memory computing based on dual-mode SOT-MRAM. | Farhana Parveen, Shaahin Angizi, Zhezhi He, Deliang Fan |
| 2016 | ASPDAC | Prospects of efficient neural computing with arrays of magneto-metallic neurons and synapses. | Abhronil Sengupta, Karthik Yogendra, Deliang Fan, Kaushik Roy |
| 2016 | ASPDAC | Computing with coupled Spin Torque Nano Oscillators. | Karthik Yogendra, Deliang Fan, Yong Shim, Minsuk Koo, Kaushik Roy |
| 2016 | IJCNN | Spin torque nano-oscillator based Oscillatory Neural Network. | Chamika M. Liyanagedera, Karthik Yogendra, Kaushik Roy, Deliang Fan |
| 2016 | ISLPED | A Low Power Current-Mode Flash ADC with Spin Hall Effect based Multi-Threshold Comparator. | Zhezhi He, Deliang Fan |
| 2014 | DATE | Brain-inspired computing with spin torque devices. | Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra |
| 2013 | DAC | Ultra low power associative computing with spin neurons and resistive crossbar memory. | Mrigank Sharad, Deliang Fan, Kaushik Roy |
| 2013 | ICCAD | Exploring Boolean and non-Boolean computing with spin torque devices. | Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra |
| 2013 | ISLPED | Beyond charge-based computation: Boolean and non-Boolean computing with spin torque devices. | Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra |