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1 to 10 of 311 Results
Mar 2, 2026 - Guochu XIONG
Yao, Renjie; Ye, Yaoyao; Liu, Weichen, 2026, "Replication Data for: Design of a Hierarchical Clos-Benes Optical Network-on-Chip Architecture", https://doi.org/10.21979/N9/OFZHUU, DR-NTU (Data), V1
The dataset presents the paper titled “Design of a Hierarchical Clos-Benes Optical Network-on-Chip Architecture.”
Mar 2, 2026 - Guochu XIONG
Ye, Yaoyao; Zhang, Wenfei; Liu, Weichen, 2026, "Replication Data for: Thermal-Aware Design and Simulation Approach for Optical NoCs", https://doi.org/10.21979/N9/H2S6HQ, DR-NTU (Data), V1
The dataset presents the paper titled “Thermal-Aware Design and Simulation Approach for Optical NoCs.”
Mar 2, 2026 - Guochu XIONG
Chang, Shuangshuang; Bi, Ran; Sun, Jinghao; Liu, Weichen, 2026, "Replication Data for: Toward Minimum WCRT Bound for DAG Tasks Under Prioritized List Scheduling Algorithms", https://doi.org/10.21979/N9/JIZKWE, DR-NTU (Data), V1
The dataset presents the paper titled “Toward Minimum WCRT Bound for DAG Tasks Under Prioritized List Scheduling Algorithms.”
Mar 2, 2026 - Guochu XIONG
Wang, Haotian; Ding, Yan; Liu, Yumeng; Liu, Weichen, 2026, "Replication Data for: A Context-Awareness and Hardware-Friendly Sparse Matrix Multiplication Kernel for CNN Inference Acceleration", https://doi.org/10.21979/N9/6WIO0S, DR-NTU (Data), V1
The dataset presents the paper titled “A Context-Awareness and Hardware-Friendly Sparse Matrix Multiplication Kernel for CNN Inference Acceleration.”
Mar 2, 2026 - Guochu XIONG
Xiong, Guochu, 2026, "Replication Data for: Coherence-Aware Task Graph Modeling for Realistic Application", https://doi.org/10.21979/N9/PZIE8J, DR-NTU (Data), V1
The dataset includes the source codes and readme file for implementing the design presented in the paper 'Coherence-Aware Task Graph Modeling for Realistic Application'.
Jan 30, 2026 - PREMANAND Rithwik
Jose, Justin; Premanand, Rithwik; Vishwakarma, Narendra; Madhukumar, A. S., 2026, "Replication Data for: Multi-Pair Full-Duplex D2D with RIS Partitioning: Performance Analysis and Optimization", https://doi.org/10.21979/N9/H1TOEE, DR-NTU (Data), V1
Replication Data for: Multi-Pair Full-Duplex D2D with RIS Partitioning: Performance Analysis and Optimization
Jan 30, 2026 - PREMANAND Rithwik
Premanand, Rithwik, 2026, "RIS-Enhanced Hybrid THz/RF Systems for 6G Networks Over Generalized Fading", https://doi.org/10.21979/N9/X310LF, DR-NTU (Data), V1
This dataset contains MATLAB simulation scripts and supporting functions for analyzing the performance of Reconfigurable Intelligent Surfaces (RIS)-assisted hybrid Terahertz (THz) and Radio Frequency (RF) communication systems operating over generalized fading channels. The simul...
PREMANAND Rithwik(Nanyang Technological University)
Jan 30, 2026
This Dataverse is an organized, long-term archive of the research outputs produced during my PhD at Nanyang Technological University (NTU). It curates the datasets, simulation code, experimental measurement files, figures, and supporting documentation underlying my work on RIS-as...
Jan 16, 2026 - Junqi ZHAO
Li, Miaoyu; Chao, Qin; Li, Boyang, 2025, "Replication Data for: Two Causally Related Needles in a Video Haystack", https://doi.org/10.21979/N9/WCSXMT, DR-NTU (Data), V2
Causal2Needles is a benchmark dataset and evaluation toolkit designed to assess the capabilities of both proprietary and open-source multimodal large language models in long-video understanding. It features a large number of "2-needle" questions, where the model must locate and r...
Dec 10, 2025 - Junqi ZHAO
Chinchure, Aditya; Ravi, Sahithya; Ng, Raymond; Shwartz, Vered; Li, Boyang; Sigal, Leonid, 2025, "Replication Data for: Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events", https://doi.org/10.21979/N9/HOAFUL, DR-NTU (Data), V1
BlackSwanSuite is a benchmark for evaluating VLMs’ ability to reason about unexpected events through abductive and defeasible tasks. The tasks either artificially limit the amount of visual information provided to models while questioning them about hidden unexpected events, or p...
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