1k citations
- Agency for Science, Technology and ResearchSG266 papers
- Nanyang Technological UniversitySG116 papers
- National University of SingaporeSG112 papers
- Image and Pervasive Access LaboratorySG23 papers
- Singapore University of Technology and DesignSG22 papers
- Singapore Management UniversitySG18 papers
- Massachusetts Institute of TechnologyUS13 papers
- Chinese Academy of SciencesCN10 papers
- Institute of High Performance ComputingSG10 papers
- UNSW SydneyAU10 papers
- Centre National de la Recherche ScientifiqueFR9 papers
- Texas A&M UniversityUS8 papers
440 papers
FAPlace: Joint Optimization of Chiplet Placement and Interposer Footprint for 2.5D Systems
Yubo Hou, Sezin Kircali Ata, Gen Liang Lim +4
The placement of chiplets on a silicon interposer is a pivotal step in 2.5D system integration, yet existing placement approaches typically assume a pre-defined interposer footprin…
RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation
Yucheng Chen, Yang Yu, Yufei Shi +3
Radiology report generation (RRG) has emerged as a promising approach to alleviate radiologists' workload and reduce human errors by automatically generating diagnostic reports fro…
Learning-Guided Force-Feedback Model Predictive Control with Obstacle Avoidance for Robotic Deburring
Krzysztof Wojciechowski, Ege Gursoy, Arthur Haffemayer +4
Model Predictive Control (MPC) is widely used for torque-controlled robots, but classical formulations often neglect real-time force feedback and struggle with contact-rich industr…
Bridging neuroscience and AI: adaptive, culturally sensitive technologies transforming aphasia rehabilitation
Andreea I. Niculescu, Jochen Ehnes, Minghui Dong
Aphasia, a language impairment primarily resulting from stroke or brain injury, profoundly disrupts communication and everyday functioning. Despite advances in speech therapy, barr…
Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation
Yubo Hou, Mohamed Ragab, Yucheng Wang +5
Accurate Remaining Useful Life (RUL) prediction without labeled target domain data is a critical challenge, and domain adaptation (DA) has been widely adopted to address it by tran…
Assessing Electricity Demand Forecasting with Exogenous Data in Time Series Foundation Models
Wei Soon Cheong, Lian Lian Jiang, Jamie Ng Suat Ling
Time-series foundation models have emerged as a new paradigm for forecasting, yet their ability to effectively leverage exogenous features -- critical for electricity demand foreca…