5 citations · 6 across the 8 of their papers we have counts for
10 papers
CertEx: Exact Visual Retrieval at Scale by Certified Exclusion
Dongfang Zhao
Exact -nearest-neighbor (kNN) search over image descriptors and embeddings underlies visual retrieval, near-duplicate detection, the evaluation of learned representations, and i…
RidgeRank: Efficient Visual Document Reranking via Score Fusion and a Shallow Linear Readout
Shubing Yang, Dongfang Zhao
Multimodal language models rerank visual document retrieval results accurately, but scoring every candidate page at full cost makes them slow. Some methods that compress these rera…
AdaWidth: Query-Adaptive Embedding Width for Dense Retrieval
Shubing Yang, Dongfang Zhao
High-dimensional embeddings are central to dense retrieval, but not all of these dimensions need to be evaluated at retrieval time. Existing methods reduce dimensions in two ways:…
SHEAF: Self-profiled Hardness Estimation from Answer-set Flux for Predicting Query Hardness in Graph-based ANN Search
Dongfang Zhao
Graph-based approximate nearest neighbor (ANN) search is usually governed by a beam-width parameter that trades recall for throughput and is fixed for the whole workload. Yet, quer…
ETALE: Evolving Topology with Accelerated Lock-free Execution for Dynamic Graph ANN Search on GPUs
Dongfang Zhao
Graph-based approximate nearest neighbor (ANN) indexes on the GPU are originally built for static collections and must reconstruct the affected window to absorb any update, while t…
Slipstream: Locality-Aware Graph Index Construction for Streaming Approximate Nearest Neighbor Search
Shubing Yang, Dongfang Zhao
Graph indexes are widely used for high-recall approximate nearest neighbor search (ANNS), but many real-time applications require streaming ANNS. In these real-time applications, c…
NexusIndex: Integrating Advanced Vector Indexing and Multi-Model Embeddings for Robust Fake News Detection
Solmaz Seyed Monir, Dongfang Zhao
The proliferation of fake news on digital platforms has underscored the need for robust and scalable detection mechanisms. Traditional methods often fall short in handling large an…
VecLSTM: Trajectory Data Processing and Management for Activity Recognition through LSTM Vectorization and Database Integration
Solmaz Seyed Monir, Dongfang Zhao
Activity recognition is a challenging task due to the large scale of trajectory data and the need for prompt and efficient processing. Existing methods have attempted to mitigate t…
VectorSearch: Enhancing Document Retrieval with Semantic Embeddings and Optimized Search
Solmaz Seyed Monir, Irene Lau, Shubing Yang +1
Traditional retrieval methods have been essential for assessing document similarity but struggle with capturing semantic nuances. Despite advancements in latent semantic analysis (…
Enabling Practical and Privacy-Preserving Image Processing
Chao Wang, Shubing Yang, Xiaoyan Sun +2
Fully Homomorphic Encryption (FHE) enables computations on encrypted data, preserving confidentiality without the need for decryption. However, FHE is often hindered by significant…