Daniel Sun

When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction

With the growing capabilities of large language models (LLMs), they are increasingly applied in areas like intelligent customer service, code generation, and knowledge management. Natural language...

Efficient emotion recognition using hyperdimensional computing with combinatorial channel encoding and cellular automata

In this paper, a hardware-optimized approach to emotion recognition based on the efficient brain-inspired hyperdimensional computing (HDC) paradigm is proposed. Emotion recognition provides...

Improving Query Safety at Pinterest

Query recommendations in search engines is a double edged sword, with undeniable benefits but potential of harm. Identifying unsafe queries is necessary to protect users from inappropriate query...

GLAP: Distributed Dynamic Workload Consolidation through Gossip-Based Learning

Crying Wolf and Meaning It: Reducing False Alarms in Monitoring of Sporadic Operations through POD-Monitor

Active Learning with Density-Initialized Decision Tree for Record Matching

Quantifying Failure Risk of Version Switch for Rolling Upgrade on Clouds

When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs" for Human-AI Interaction

Lessons Learned from the Development and Deployment of a Hotel Concierge Robot to be Operated in a Real World Environment

Intelligent Healthcare Knowledge Resources in Chinese: A Survey

Comparison among Four Prominent Text Processing Tools

POD-Diagnosis: Error Diagnosis of Sporadic Operations on Cloud Applications

HDBinaryCore: A 28nm 2048-bit Hyper-Dimensional biosignal classifier achieving 25 nJ/prediction for EMG hand-gesture recognition

Unsupervised Blocking of Imbalanced Datasets for Record Matching

Efficient Pruning via Entailment Cardinality Estimation for Fast Top-Down Logic Rule Mining

Reliable and Energy Efficient Resource Provisioning and Allocation in Cloud Computing

Accelerating Hyperdimensional Computing with Vector Machines

Data Provenance Based System for Classification and Linear Regression in Distributed Machine Learning