Li Yang - RankMe

55 papers A* 15A 3B 1Journal 22Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CacheTrap: Injecting Trojans in LLMs without Leaving any Traces in Inputs or Weights. CoRR Mohaiminul Al Nahian, Abeer Matar A. Almalky, Gamana Aragonda, Ranyang Zhou, Sabbir Ahmed, Dmitry Ponomarev, Li Yang, Shaahin Angizi, Adnan Siraj Rakin
2025	A*	`conf`	Closest Neighbors are Harmful for Lightweight Masked Auto-encoders. CVPR Jian Meng, Ahmed Hassan, Li Yang, Deliang Fan, Jinwoo Shin, Jae-sun Seo
2025	—	`conf`	Dyna-Optics: Architecting a Channel-Adaptive DNN Near-Sensor Optical Accelerator for Dynamic Inference. COINS Deniz Najafi, Wanhao Yu, Mehrdad Morsali, Pietro Mercati, Mohsen Imani, Mahdi Nikdast, Li Yang, Shaahin Angizi
2025	—	`conf`	Efficient Self-Supervised Continual Learning with Progressive Task-Correlated Layer Freezing. ISQED Li Yang, Sen Lin, Fan Zhang, Junshan Zhang, Deliang Fan
2025	J	`jnl`	Ghosting Your LLM: Without The Knowledge of Your Gradient and Data. CoRR Abeer Matar A. Almalky, Ziyan Wang, Mohaiminul Al Nahian, Li Yang, Adnan Siraj Rakin
2025	—	`conf`	Learning to Prune and Low-Rank Adaptation for Compact Language Model Deployment. ASP-DAC Asmer Hamid Ali, Fan Zhang, Li Yang, Deliang Fan
2025	—	`conf`	LoRAFusion: A Crossbar-aware Multi-task Adaption Framework via Efficient Fusion of Pretrained LoRA Modules. ACM Great Lakes Symposium on VLSI Jingkai Guo, Asmer Hamid Ali, Li Yang, Deliang Fan
2025	A	`conf`	MFNeRF: Memory Efficient NeRF with Mixed-Feature Hash Table. WACV Yongjae Lee, Li Yang, Deliang Fan
2024	J	`jnl`	A Progressive Subnetwork Searching Framework for Dynamic Inference. IEEE Trans. Neural Networks Learn. Syst. Li Yang, Zhezhi He, Yu Cao, Deliang Fan
2024	A*	`conf`	EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning. AAAI Jingtao Li, Xing Chen, Li Yang, Adnan Siraj Rakin, Deliang Fan, Chaitali Chakrabarti
2024	A*	`conf`	Hyb-Learn: A Framework for On-Device Self-Supervised Continual Learning with Hybrid RRAM/SRAM Memory. DAC Fan Zhang, Li Yang, Deliang Fan
2024	A*	`conf`	LP-3DGS: Learning to Prune 3D Gaussian Splatting. NeurIPS Zhaoliang Zhang, Tianchen Song, Yongjae Lee, Li Yang, Cheng Peng, Rama Chellappa, Deliang Fan
2024	J	`jnl`	LP-3DGS: Learning to Prune 3D Gaussian Splatting. CoRR Zhaoliang Zhang, Tianchen Song, Yongjae Lee, Li Yang, Cheng Peng, Rama Chellappa, Deliang Fan
2023	J	`jnl`	Efficient Self-supervised Continual Learning with Progressive Task-correlated Layer Freezing. CoRR Li Yang, Sen Lin, Fan Zhang, Junshan Zhang, Deliang Fan
2023	J	`jnl`	MF-NeRF: Memory Efficient NeRF with Mixed-Feature Hash Table. CoRR Yongjae Lee, Li Yang, Deliang Fan
2023	J	`jnl`	Model Extraction Attacks on Split Federated Learning. CoRR Jingtao Li, Adnan Siraj Rakin, Xing Chen, Li Yang, Zhezhi He, Deliang Fan, Chaitali Chakrabarti
2023	A*	`conf`	Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training. NeurIPS Jian Meng, Li Yang, Kyungmin Lee, Jinwoo Shin, Deliang Fan, Jae-sun Seo
2022	A*	`conf`	Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer. NeurIPS Sen Lin, Li Yang, Deliang Fan, Junshan Zhang
2022	J	`jnl`	Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer. CoRR Sen Lin, Li Yang, Deliang Fan, Junshan Zhang
2022	A*	`conf`	Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning. CVPR Jian Meng, Li Yang, Jinwoo Shin, Deliang Fan, Jae-sun Seo
2022	—	`conf`	DA CVPR Workshops Li Yang, Adnan Siraj Rakin, Deliang Fan
2022	—	`conf`	Efficient Multi-task Adaption for Crossbar-based In-Memory Computing. IEEECONF Fan Zhang, Li Yang, Deliang Fan
2022	J	`jnl`	Exploring Model Stability of Deep Neural Networks for Reliable RRAM-Based In-Memory Acceleration. IEEE Trans. Computers Gokul Krishnan, Li Yang, Jingbo Sun, Jubin Hazra, Xiaocong Du, Maximilian Liehr, Zheng Li, Karsten Beckmann, Rajiv V. Joshi, Nathaniel C. Cady, Deliang Fan, Yu Cao
2022	A*	`conf`	Get More at Once: Alternating Sparse Training with Gradient Correction. NeurIPS Li Yang, Jian Meng, Jae-sun Seo, Deliang Fan
2022	A*	`conf`	Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification. AAAI Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao
2022	J	`jnl`	Hybrid RRAM/SRAM in-Memory Computing for Robust DNN Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Gokul Krishnan, Zhenyu Wang, Injune Yeo, Li Yang, Jian Meng, Maximilian Liehr, Rajiv V. Joshi, Nathaniel C. Cady, Deliang Fan, Jae-sun Seo, Yu Cao
2022	A*	`conf`	RepNet: Efficient On-Device Learning via Feature Reprogramming. CVPR Li Yang, Adnan Siraj Rakin, Deliang Fan
2022	—	`conf`	Sparse and Robust RRAM-based Efficient In-memory Computing for DNN Inference. IRPS Jian Meng, Injune Yeo, Wonbo Shim, Li Yang, Deliang Fan, Shimeng Yu, Jae-sun Seo
2022	A*	`conf`	TRGP: Trust Region Gradient Projection for Continual Learning. ICLR Sen Lin, Li Yang, Deliang Fan, Junshan Zhang
2022	J	`jnl`	TRGP: Trust Region Gradient Projection for Continual Learning. CoRR Sen Lin, Li Yang, Deliang Fan, Junshan Zhang
2022	J	`jnl`	Temperature-Resilient RRAM-Based In-Memory Computing for DNN Inference. IEEE Micro Jian Meng, Wonbo Shim, Li Yang, Injune Yeo, Deliang Fan, Shimeng Yu, Jae-sun Seo
2022	—	`conf`	XBM: A Crossbar Column-wise Binary Mask Learning Method for Efficient Multiple Task Adaption. ASP-DAC Fan Zhang, Li Yang, Jian Meng, Yu Kevin Cao, Jae-sun Seo, Deliang Fan
2022	A*	`conf`	XMA: a crossbar-aware multi-task adaption framework via shift-based mask learning method. DAC Fan Zhang, Li Yang, Jian Meng, Jae-sun Seo, Yu Kevin Cao, Deliang Fan
2022	A	`conf`	XST: A Crossbar Column-wise Sparse Training for Efficient Continual Learning. DATE Fan Zhang, Li Yang, Jian Meng, Jae-sun Seo, Yu Cao, Deliang Fan
2021	—	`conf`	Dynamic Neural Network to Enable Run-Time Trade-off between Accuracy and Latency. ASP-DAC Li Yang, Deliang Fan
2021	J	`jnl`	GROWN: GRow Only When Necessary for Continual Learning. CoRR Li Yang, Sen Lin, Junshan Zhang, Deliang Fan
2021	J	`jnl`	Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification. CoRR Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao
2021	A*	`conf`	KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning. CVPR Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan
2021	B	`conf`	MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. MASS Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang
2021	J	`jnl`	RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy. CoRR Adnan Siraj Rakin, Li Yang, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Yu Cao, Jae-sun Seo, Deliang Fan
2021	—	`conf`	Self-supervised Novelty Detection for Continual Learning: A Gradient-Based Approach Boosted by Binary Classification. CSSL Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao
2021	J	`jnl`	Structured Pruning of RRAM Crossbars for Efficient In-Memory Computing Acceleration of Deep Neural Networks. IEEE Trans. Circuits Syst. II Express Briefs Jian Meng, Li Yang, Xiaochen Peng, Shimeng Yu, Deliang Fan, Jae-sun Seo
2020	—	`conf`	A Flexible Processing-in-Memory Accelerator for Dynamic Channel-Adaptive Deep Neural Networks. ASP-DAC Li Yang, Shaahin Angizi, Deliang Fan
2020	J	`jnl`	A Progressive Sub-Network Searching Framework for Dynamic Inference. CoRR Li Yang, Zhezhi He, Yu Cao, Deliang Fan
2020	J	`jnl`	DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning. CoRR Li Yang, Adnan Siraj Rakin, Deliang Fan
2020	A*	`conf`	Harmonious Coexistence of Structured Weight Pruning and Ternarization for Deep Neural Networks. AAAI Li Yang, Zhezhi He, Deliang Fan
2020	J	`jnl`	KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning. CoRR Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan
2020	J	`jnl`	MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning. CoRR Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang
2020	A*	`conf`	Non-uniform DNN Structured Subnets Sampling for Dynamic Inference. DAC Li Yang, Zhezhi He, Yu Cao, Deliang Fan
2020	—	`conf`	Processing-in-Memory Accelerator for Dynamic Neural Network with Run-Time Tuning of Accuracy, Power and Latency. SoCC Li Yang, Zhezhi He, Shaahin Angizi, Deliang Fan
2020	—	`conf`	Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network. ACM Great Lakes Symposium on VLSI Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan
2020	J	`jnl`	Sparse BD-Net: A Multiplication-less DNN with Sparse Binarized Depth-wise Separable Convolution. ACM J. Emerg. Technol. Comput. Syst. Zhezhi He, Li Yang, Shaahin Angizi, Adnan Siraj Rakin, Deliang Fan
2019	—	`conf`	Binarized Depthwise Separable Neural Network for Object Tracking in FPGA. ACM Great Lakes Symposium on VLSI Li Yang, Zhezhi He, Deliang Fan
2019	J	`jnl`	Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness. CoRR Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan
2018	A	`conf`	A Fully Onchip Binarized Convolutional Neural Network FPGA Impelmentation with Accurate Inference. ISLPED Li Yang, Zhezhi He, Deliang Fan