AAAI

Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges

Chandan K Reddy, Parshin Shojaee

Comments AAAI 2025

Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning

Shengqiong Wu, Hao Fei, Liangming Pan, William Yang Wang, Shuicheng Yan, Tat-Seng Chua

Comments 16 pages, 10 figures, accepted by AAAI 25

Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection

Jiaqi Chen, Xiaoye Zhu, Tianyang Liu, Ying Chen, Xinhui Chen, Yiwen Yuan, Chak Tou Leong, Zuchao Li, Tang Long, Lei Zhang, Chenyu Yan, Guanghao Mei, Jie Zhang, Lefei Zhang

Comments To appear at AAAI 2025. 14 pages, 6 figure

Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer

Haopeng Sun, Yingwei Zhang, Lumin Xu, Sheng Jin, Yiqiang Chen

Comments This paper has been accepted by AAAI 2025, 10 pages, 4 figures

In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning

Songjun Tu, Jingbo Sun, Qichao Zhang, Yaocheng Zhang, Jia Liu, Ke Chen, Dongbin Zhao

Comments 20 pages, Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI-25)

Journal ref Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI2025)

Augmenting Sequential Recommendation with Balanced Relevance and Diversity

Yizhou Dang, Jiahui Zhang, Yuting Liu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang

Comments Accepted by AAAI 2025

Stable Mean Teacher for Semi-supervised Video Action Detection

Akash Kumar, Sirshapan Mitra, Yogesh Singh Rawat

Comments AAAI Conference on Artificial Intelligence, Main Technical Track (AAAI), 2025, Code: https://github.com/AKASH2907/stable_mean_teacher

Domain-specific Question Answering with Hybrid Search

Dewang Sultania, Zhaoyu Lu, Twisha Naik, Franck Dernoncourt, David Seunghyun Yoon, Sanat Sharma, Trung Bui, Ashok Gupta, Tushar Vatsa, Suhas Suresha, Ishita Verma, Vibha Belavadi, Cheng Chen, Michael Friedrich

Comments AAAI-25 Workshop on Document Understanding and Intelligence

LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation

Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng

Comments accepted by AAAI'25

Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues

Mingshen Wang, Zhao Zhang, Feng Li, Ke Xu, Kang Miao, Meng Wang

Comments AAAI 2025

DrivingForward: Feed-forward 3D Gaussian Splatting for Driving Scene Reconstruction from Flexible Surround-view Input

Qijian Tian, Xin Tan, Yuan Xie, Lizhuang Ma

Comments Accept by AAAI 2025. Project Page: https://fangzhou2000.github.io/projects/drivingforward/

GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object Detection

Jinqing Zhang, Yanan Zhang, Yunlong Qi, Zehua Fu, Qingjie Liu, Yunhong Wang

Comments Accepted by AAAI 2025

Unleashing the Temporal-Spatial Reasoning Capacity of GPT for Training-Free Audio and Language Referenced Video Object Segmentation

Shaofei Huang, Rui Ling, Hongyu Li, Tianrui Hui, Zongheng Tang, Xiaoming Wei, Jizhong Han, Si Liu

Comments Accepted by AAAI 2025

Hand1000: Generating Realistic Hands from Text with Only 1,000 Images

Haozhuo Zhang, Bin Zhu, Yu Cao, Yanbin Hao

Comments Accepted by AAAI 2025. Project page https://haozhuo-zhang.github.io/Hand1000-project-page/

A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods

Piotr Tempczyk, Łukasz Garncarek, Dominik Filipiak, Adam Kurpisz

Comments Accepted to AAAI 2025. Extended version with appendices A-D

ID-Sculpt: ID-aware 3D Head Generation from Single In-the-wild Portrait Image

Jinkun Hao, Junshu Tang, Jiangning Zhang, Ran Yi, Yijia Hong, Moran Li, Weijian Cao, Yating Wang, Chengjie Wang, Lizhuang Ma

Comments Accepted by AAAI 2025; Project page: https://jinkun-hao.github.io/ID-Sculpt/

MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL

Arian Askari, Christian Poelitz, Xinye Tang

Comments Accepted at Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2025)

RATT: A Thought Structure for Coherent and Correct LLM Reasoning

Jinghan Zhang, Xiting Wang, Weijieying Ren, Lu Jiang, Dongjie Wang, Kunpeng Liu

Comments Accepted by AAAI 2025

A Temporal Graph Network Framework for Dynamic Recommendation

Yejin Kim, Youngbin Lee, Vincent Yuan, Annika Lee, Yongjae Lee

Comments Presented at the AAAI 2024 Workshop on Recommendation Ecosystems: Modeling, Optimization and Incentive Design (https://sites.google.com/view/recommender-ecosystems/home)

NightHaze: Nighttime Image Dehazing via Self-Prior Learning

Beibei Lin, Yeying Jin, Wending Yan, Wei Ye, Yuan Yuan, Robby T. Tan

Comments Accepted by AAAI 2025. Project page: https://bb12346.github.io/NightHaze/

VIoTGPT: Learning to Schedule Vision Tools in LLMs towards Intelligent Video Internet of Things

Yaoyao Zhong, Mengshi Qi, Rui Wang, Yuhan Qiu, Yang Zhang, Huadong Ma

Comments AAAI 2025, 12 pages

Convolutional Deep Operator Networks for Learning Nonlinear Focused Ultrasound Wave Propagation in Heterogeneous Spinal Cord Anatomy

Avisha Kumar, Xuzhe Zhi, Zan Ahmad, Minglang Yin, Amir Manbachi

Comments Accepted for oral presentation at AAAI Conference on Artificial Intelligence: AI for Accelerating Science and Engineering Workshop 2025

POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position Search

Chong-Yang Xiang, Jun-Yan He, Zhi-Qi Cheng, Xiao Wu, Xian-Sheng Hua

Comments Accepted to AAAI 2025, 9 pages, 6 figures. Code: https://github.com/teslatasy/POPoS

APIRL: Deep Reinforcement Learning for REST API Fuzzing

Myles Foley, Sergio Maffeis

Comments Thirty-ninth Conference on Artificial Intelligence (AAAI 2025)

Approximate State Abstraction for Markov Games

Hiroki Ishibashi, Kenshi Abe, Atsushi Iwasaki

Journal ref AAAI 2025

Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer

Xinyue Chen, Miaojing Shi, Zijian Zhou, Lianghua He, Sophia Tsoka

Comments Accepted to AAAI 2025

Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference

Jorge García-Carrasco, Alejandro Maté, Juan Trujillo

Comments Accepted to AAAI 25 Main Technical Track

Prompt-based Unifying Inference Attack on Graph Neural Networks

Yuecen Wei, Xingcheng Fu, Lingyun Liu, Qingyun Sun, Hao Peng, Chunming Hu

Comments Accepted by the 39th AAAI Conference on Artificial Intelligence (AAAI-25)

fluke: Federated Learning Utility frameworK for Experimentation and research

Mirko Polato

Comments Accepted at FLUID workshop (AAAI 2025) [4 pages (+2 references), 2 figures, 1 algorithm]

AI-generated Image Quality Assessment in Visual Communication

Yu Tian, Yixuan Li, Baoliang Chen, Hanwei Zhu, Shiqi Wang, Sam Kwong

Comments AAAI-2025; Project page: https://github.com/ytian73/AIGI-VC