Swin-AQI accepted at ACIVS 2026
August 14, 2026
Swin-AQI estimates PM2.5 and PM10 concentrations from street-level photographs using a depth-aware Swin Transformer. The paper has been accepted at ACIVS 2026 in Okinawa, Japan.
Updates
Announcements, research highlights, seminars, and group updates.
August 14, 2026
Swin-AQI estimates PM2.5 and PM10 concentrations from street-level photographs using a depth-aware Swin Transformer. The paper has been accepted at ACIVS 2026 in Okinawa, Japan.
August 14, 2026
Instead of an all-or-nothing emergency stop, the system reads prediction error in latent space as a continuous risk signal and scales trajectory corrections accordingly. Accepted at ACIVS 2026.
August 14, 2026
A test-time adaptation method lets a frozen CLIP backbone handle multispectral satellite imagery with no Earth-observation pretraining. Accepted at ACIVS 2026.
August 14, 2026
A framework for auditing cross-session data leakage in the knowledge-graph memories behind AI assistants, accepted into the CIKM 2026 Full Research Track at a 27% acceptance rate.
August 14, 2026
A case study on real data from Ho Chi Minh City University of Technology, combining a greedy heuristic with integer linear programming to cut the number of exam rooms that must be opened.
August 14, 2026
TraceToChain fits LLM agent execution traces to an absorbing Markov chain, showing that pass@k, pass^k and the reliability decay curve are projections of one success-time distribution.
July 20, 2026
A paper on forecasting and inventory optimization for ATM cash management in Vietnam won the Outstanding Student Paper Award at FLINS-ISKE 2026 in Sydney, Australia.
July 16, 2026
A survey of deep learning methods for industrial visual anomaly detection, focused on their role in safety monitoring for collaborative robots.
July 15, 2026
An up-to-date overview of LLM-based event extraction, with unusual attention to multilingual data resources — Vietnamese among them.
July 14, 2026
A four-dimensional taxonomy for LLM agents in static analysis, nominated for the Best Paper Award at IEA/AIE 2026.
July 13, 2026
A systematic mapping study of explainable AI across the software development life cycle won the Best Paper Award at IEA/AIE 2026.
July 1, 2026
July 1, 2026
Rather than analysing a single LLM-generated program, the authors analyse many samples at once and treat an invariant's survival rate as cross-sample evidence. Accepted into the ASE 2026 NIER Track at 25%.
July 1, 2026
GraphLedger detects vulnerabilities at repository scale by pairing graph-based compression with an assumption ledger. Accepted into the ASE 2026 Research Track (115/1236).
June 15, 2026
A small language model framework augmented with external knowledge, aimed at Vietnamese event extraction under tight computational budgets.
April 7, 2026
A joint model for Vietnamese multi-intent detection and slot filling, using a biaffine classifier to capture the link between intents and their slots directly.
April 6, 2026
A hybrid RAG framework integrating a legal knowledge graph for State Bank of Vietnam documents, selected for oral presentation at ACIIDS 2026.
March 16, 2026