Bill Lin

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 30

Top Topics

Convolutional Network

Alternative Formulations

Channel Allocation

Top Venues

IEEE Trans. Artif. Intell.

ACM Trans. Archit. Code Optim.

Publications

Mahdi Morafah, Weijia Wang, Bill Lin
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design. IEEE Trans. Artif. Intell. 5 (4) (2024)
Chester Holtz, Yucheng Wang, Chung-Kuan Cheng, Bill Lin
On Robustness and Generalization of ML-Based Congestion Predictors to Valid and Imperceptible Perturbations. CoRR (2024)
Sumilak Chaudhury, Karl Johnson, Chengkuan Gao, Bill Lin, Yeshaiahu Fainman, Tzu-Chien Hsueh
Micro-Ring Modulator Linearity Enhancement for Analog and Digital Optical Links. CoRR (2024)
Saeed Vahidian, Mahdi Morafah, Chen Chen, Mubarak Shah, Bill Lin
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks. IEEE Trans. Artif. Intell. 5 (3) (2024)
Mahdi Morafah, Matthias Reisser, Bill Lin, Christos Louizos
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data. CoRR (2024)
Tzu-Chien Hsueh, Yeshaiahu Fainman, Bill Lin
Monolithic Silicon-Photonics Linear-Algebra Accelerators Enabling Next-Gen Massive MIMO. CoRR (2024)
Mahdi Morafah, Weijia Wang, Bill Lin
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design. CoRR (2023)
Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces. AAAI (2023)
Chung-Kuan Cheng, Chester Holtz, Andrew B. Kahng, Bill Lin, Uday Mallappa
DAGSizer: A Directed Graph Convolutional Network Approach to Discrete Gate Sizing of VLSI Graphs. ACM Trans. Design Autom. Electr. Syst. 28 (4) (2023)
Litao Qiao, Weijia Wang, Bill Lin
Alternative Formulations of Decision Rule Learning from Neural Networks. Mach. Learn. Knowl. Extr. 5 (3) (2023)
Litao Qiao, Weijia Wang, Sanjoy Dasgupta, Bill Lin
Rethinking Logic Minimization for Tabular Machine Learning. IEEE Trans. Artif. Intell. 4 (5) (2023)
Saeed Vahidian, Sreevatsank Kadaveru, Woonjoon Baek, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin
When Do Curricula Work in Federated Learning? ICCV (2023)
Weijia Wang, Litao Qiao, Bill Lin
Disjunctive Threshold Networks for Tabular Data Classification. IEEE Open J. Comput. Soc. 4 (2023)
Chung-Kuan Cheng, Andrew B. Kahng, Bill Lin, Yucheng Wang, Dooseok Yoon
Gear-Ratio-Aware Standard Cell Layout Framework for DTCO Exploration. SLIP (2023)
Chung-Kuan Cheng, Bill Lin, Byeonggon Kang, Yucheng Wang
Invited Paper: The Scope and Challenges of Scaling in Advanced Technologies. SLIP (2023)
Mahdi Morafah, Saeed Vahidian, Weijia Wang, Bill Lin
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution. CoRR (2022)
Weijia Wang, Bill Lin
Optimizing 3D U-Net-based Brain Tumor Segmentation with Integer-arithmetic Deep Learning Accelerators. ACM J. Emerg. Technol. Comput. Syst. 18 (2) (2022)
Chung-Kuan Cheng, Chia-Tung Ho, Daeyeal Lee, Bill Lin
Monolithic 3D Semiconductor Footprint Scaling Exploration Based on VFET Standard Cell Layout Methodology, Design Flow, and EDA Platform. IEEE Access 10 (2022)
Dharanidhar Dang, Bill Lin, Debashis Sahoo
: An All-photonic Neuromorphic Accelerator for Energy-efficient Deep Learning. ACM Trans. Archit. Code Optim. 19 (3) (2022)
Dharanidhar Dang, Amitash Nanda, Bill Lin, Debashis Sahoo
NeuCASL: From Logic Design to System Simulation of Neuromorphic Engines. CoRR (2022)
Dharanidhar Dang, Bill Lin, Debashis Sahoo
LiteCON: An All-Photonic Neuromorphic Accelerator for Energy-efficient Deep Learning (Preprint). CoRR (2022)
Uday Mallappa, Chung-Kuan Cheng, Bill Lin
JARVA: Joint Application-Aware Oblivious Routing and Static Virtual Channel Allocation. IEEE Des. Test 39 (6) (2022)
Daeyeal Lee, Bill Lin, Chung-Kuan Cheng
SMT-Based Contention-Free Task Mapping and Scheduling on 2D/3D SMART NoC with Mixed Dimension-Order Routing. ACM Trans. Archit. Code Optim. 19 (1) (2022)
Uday Mallappa, Chung-Kuan Cheng, Bill Lin
Joint Application-Aware Oblivious Routing and Static Virtual Channel Allocation. IEEE Embed. Syst. Lett. 14 (4) (2022)
Jicang Cai, Saeed Vahidian, Weijia Wang, Mohsen Joneidi, Bill Lin
Neural Routing in Meta Learning. CoRR (2022)
Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces. CoRR (2022)
Saeed Vahidian, Sreevatsank Kadaveru, Woonjoon Baek, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin
When Do Curricula Work in Federated Learning? CoRR (2022)
Mahdi Morafah, Saeed Vahidian, Chen Chen, Mubarak Shah, Bill Lin
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks. CoRR (2022)
Chung-Kuan Cheng, Chia-Tung Ho, Chester Holtz, Daeyeal Lee, Bill Lin
Machine Learning Prediction for Design and System Technology Co-Optimization Sensitivity Analysis. IEEE Trans. Very Large Scale Integr. Syst. 30 (8) (2022)
Saeed Vahidian, Mohsen Joneidi, Ashkan Esmaeili, Siavash Khodadadeh, Sharare Zehtabian, Bill Lin
Spectrum Pursuit With Residual Descent for Column Subset Selection Problem: Theoretical Guarantees and Applications in Deep Learning. IEEE Access 10 (2022)
Ivo Bolsens, Hugo J. De Man, Bill Lin, Karl van Rompaey, Steven Vercauteren, Diederik Verkest
Hardware/software co-design of digital telecommunication systems. Proc. IEEE 85 (3) (1997)