AAAI publishes accepted papers only, so submitted and rejected papers cannot be counted; the only rejections on record are papers placed in Findings and rejections their authors made public. The numbers cover the listed professors; a paper with several of them is counted once. 14 accepted before 2026, 7 from 2026.
AAAI does not publish its rejections, so they are estimated from the ICLR record of each paper's listed authors, as on their pages: about 3.0 submissions per accepted paper (see About).
By year
Professors with accepted papers
- Ngo Van Linh (HUST): 6 papers
- Huynh Thi Thanh Binh (HUST): 3 papers
- Cuong Pham (PTIT): 2 papers
- Dung D. Le (VinUni): 2 papers
- Khoa D. Doan (VinUni): 2 papers
- Thanh-Binh Nguyen (HCMUS): 2 papers
- Cong Tran (PTIT): 1 paper
- Duc-Trong Le (VNU-UET): 1 paper
- Long Hoang Dang (PTIT): 1 paper
- Minh-Triet Tran (HCMUS): 1 paper
- Nguyen Thi Ngoc Diep (VNU-UET): 1 paper
- Than Quang Khoat (HUST): 1 paper
Accepted papers (21)
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AAAI 2026
Clean-Label Physical Backdoor Attacks with Data Distillation
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AAAI 2026
GloCTM: Cross-Lingual Topic Modeling via a Global Context Space
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AAAI 2026
MCW-KD: Multi-Cost Wasserstein Knowledge Distillation for Large Language Models
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AAAI 2026
MOTIF: Multi-strategy Optimization via Turn-based Interactive Framework
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AAAI 2026
Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization
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AAAI 2026
Reinforce Trustworthiness in Multimodal Emotional Support System
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AAAI 2026
VietCheckMed: Explainable Regulatory Compliance Checking for Medical Advertisements on Vietnamese Social Media
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AAAI 2025
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective
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AAAI 2025
Few-Shot, No Problem: Descriptive Continual Relation Extraction
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AAAI 2025
HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs
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AAAI 2025
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
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AAAI 2025
Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models
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AAAI 2025
REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization
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AAAI 2024
Continual Relation Extraction via Sequential Multi-Task Learning
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AAAI 2024
Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild
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AAAI 2024
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation
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AAAI 2024
On Inference Stability for Diffusion Models
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AAAI 2023
Defending Backdoor Attacks on Vision Transformer via Patch Processing
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AAAI 2023
Improving Pareto Front Learning via Multi-Sample Hypernetworks
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AAAI 2022
Selecting Optimal Context Sentences for Event-Event Relation Extraction
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AAAI 2021
Modular Graph Transformer Networks for Multi-Label Image Classification