AAAI 2024

2,864 papers

NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing

Runcong Zhao, Wenjia Zhang, Jiazheng Li, Lixing Zhu, Yanran Li

RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface

Zeyuan Zhang, Tanmay Laud, Zihang He, Xiaojie Chen, Xinshuang Liu

EasyTS: The Express Lane to Long Time Series Forecasting

Tiancheng Zhang, Shaoyuan Huang, Cheng Zhang, Xiaofei Wang, Wenyu Wang

Generation of Visual Representations for Multi-Modal Mathematical Knowledge

Lianlong Wu, Seewon Choi, Daniel Raggi, Aaron Stockdill, Grecia Garcia Garcia

Virtual Try-On: Real-Time Interactive Hybrid Network with High-Fidelity

Umer Waqas, Yunwan Jeon, Donghun Lee

The CoachAI Badminton Environment: Bridging the Gap between a Reinforcement Learning Environment and Real-World Badminton Games

Kuang-Da Wang, Yu-Tse Chen, Yu-Heng Lin, Wei-Yao Wang, Wen-Chih Peng

Visual Language – Let the Product Say What You Want

Jiaying Wang, Shuailing Hao, Jing Shan, Xiaoxu Song

Interactive Human-Centric Bias Mitigation

Inge Vejsbjerg, Elizabeth M. Daly, Rahul Nair, Svetoslav Nizhnichenkov

EmFORE: Learning Email Folder Classification Rules by Demonstration

Mukul Singh, Gust Verbruggen, José Cambronero, Vu Le, Sumit Gulwani

Sustainability of Data Center Digital Twins with Reinforcement Learning

Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha

Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning

Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Avisek Naug

SciSpace Copilot: Empowering Researchers through Intelligent Reading Assistance

Trinita Roy, Asheesh Kumar, Daksh Raghuvanshi, Siddhant Jain, Goutham Vignesh

GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews

Kaushik Roy, Vedant Khandelwal, Valerie Vera, Harshul Surana, Heather Heckman

Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning

Bharath Muppasani, Vignesh Narayanan, Biplav Srivastava, Michael N. Huhns

CHICOT: A Developer-Assistance Toolkit for Code Search with High-Level Contextual Information

Terufumi Morishita, Yuta Koreeda, Atsuki Yamaguchi, Gaku Morio, Osamu Imaichi

ESG Accountability Made Easy: DocQA at Your Service

Lokesh Mishra, Cesar Berrospi, Kasper Dinkla, Diego Antognini, Francesco Fusco

MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways

Mingyu Derek Ma, Alexander K. Taylor, Nuan Wen, Yanchen Liu, Po-Nien Kung

Reading between the Lines: Image-Based Order Detection in OCR for Chinese Historical Documents

Hsing-Yuan Ma, Hen-Hsen Huang, Chao-Lin Liu

Knowledge-Powered Recommendation for an Improved Diet Water Footprint

Saurav Joshi, Filip Ilievski, Jay Pujara

AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head

Rongjie Huang, Mingze Li, Dongchao Yang, Jiatong Shi, Xuankai Chang

Tools Identification By On-Board Adaptation of Vision-and-Language Models

Jun Hu, Phil Miller, Michael Lomnitz, Saurabh Farkya, Emre Yilmaz

Fast & Fair: A Collaborative Platform for Fair Division Applications

Jiatong Han, Warut Suksompong

LLMGuard: Guarding against Unsafe LLM Behavior

Shubh Goyal, Medha Hira, Shubham Mishra, Sukriti Goyal, Arnav Goel

MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery

Clyde Fare, George K. Holt, Lamogha Chiazor, Michail Smyrnakis, Robert Tracey

From Static to Dynamic: Knowledge Metabolism for Large Language Models

Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng

Enhancing Machine Translation Experiences with Multilingual Knowledge Graphs

Simone Conia, Daniel Lee, Min Li, Umar Farooq Minhas, Yunyao Li

SOCIALGYM 2.0: Simulator for Multi-Robot Learning and Navigation in Shared Human Spaces

Rohan Chandra, Zayne Sprague, Joydeep Biswas

Interactive Plan Selection Using Linear Temporal Logic, Disjunctive Action Landmarks, and Natural Language Instruction

Tathagata Chakraborti, Jungkoo Kang, Francesco Fuggitti, Michael Katz, Shirin Sohrabi

SemLa: A Visual Analysis System for Fine-Grained Text Classification

Munkhtulga Battogtokh, Cosmin Davidescu, Michael Luck, Rita Borgo

Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for Time-Series Deep Learning Models

Zhengguang Wang

Deep Learning for Style Transfer and Experimentation with Audio Effects and Music Creation

Ada Tur

Adapted Weighted Aggregation in Federated Learning

Yitong Tang

AI-Enhanced Art Appreciation: Generating Text from Artwork to Promote Inclusivity

Tanisha Shende

Multi-world Model in Continual Reinforcement Learning

Kevin Shen

Defog Artificial Intelligence Glasses: Neural Networks for the Imperfect Real World

Nilton Rojas

Transforming Healthcare: A Comprehensive Approach to Mitigating Bias and Fostering Empathy through AI-Driven Augmented Reality

Erica Okeh

Vision-Language Models for Robot Success Detection

Fiona Luo

Multimodal Ensembling for Zero-Shot Image Classification

Javon Hickmon

A Novel Approach for Longitudinal Modeling of Aging Health and Predicting Mortality Rates

Hannah Guan

Statistically Principled Deep Learning for SAR Image Segmentation

Cassandra Goldberg

Using Reinforcement Learning to Iteratively Construct Road Networks from Satellite Images and GPS Data

Isaiah Gallardo

Enhancing Robotics with Cognitive Capabilities

Joseph Fatoye

Revolutionizing Education through AI-Powered Inclusive Learning Systems

Chahana Dahal

Flow-Event Autoencoder: Event Stream Object Recognition Dataset Generation with Arbitrary High Temporal Resolution

Minghai Chen

Securing Billion Bluetooth Devices Leveraging Learning-Based Techniques

Hanlin Cai

Enhancing Healthcare Predictions with Deep Learning Models

Adam Baji

Evaluating AI Red Teaming’s Readiness to Address Environmental Harms: A Thematic Analysis of LLM Discourse

Amy Au

Integrating Neural Pathways for Learning in Deep Reinforcement Learning Models

Varun Ananth

LLM-Powered Synthetic Environments for Self-Driving Scenarios

Oluwanifemi Adebayo Moses Adekanye

Multi-Expert Distillation for Few-Shot Coordination (Student Abstract)

Yujian Zhu, Hao Ding, Zongzhang Zhang

Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control (Student Abstract)

Brian Zhou, Jason Geder, Kamal Viswanath, Alisha Sharma, Julian Lee

Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract)

Chenxu Zhao, Wei Qian, Yucheng Shi, Mengdi Huai, Ninghao Liu

MRMLREC: A Two-Stage Approach for Addressing Data Sparsity in MOOC Video Recommendation (Student Abstract)

Ye Zhang, Yanqi Gao, Yupeng Zhou, Jianan Wang, Minghao Yin

Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract)

Sensen Zhang, Xun Liang, Simin Niu, Xuan Zhang, Chen Feng

THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract)

Jienan Zhang, Jie Liu, Zhangtao Cheng, Xovee Xu, Fang Liu

Leverage the Explainability of Transformer Models to Improve the DNA 5-Methylcytosine Identification (Student Abstract)

Wenhuan Zeng, Daniel H. Huson

Biases Mitigation and Expressiveness Preservation in Language Models: A Comprehensive Pipeline (Student Abstract)

Liu Yu, Ludie Guo, Ping Kuang, Fan Zhou

Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract)

Liu Yu, Fenghui Tian, Ping Kuang, Fan Zhou

Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract)

Wenxue Ye, Shichong Li, Zhangtao Cheng, Xovee Xu, Ting Zhong

Improving IP Geolocation With Target-Centric IP Graph (Student Abstract)

Kai Yang, Jiayang Li, Wenxin Tai, Zhenhui Li, Ting Zhong

Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract)

Boshen Yan, Guihong Wan, Haim Schweitzer, Zoltan Maliga, Sara Khattab

ChatGPT-Generated Code Assignment Detection Using Perplexity of Large Language Models (Student Abstract)

Zhenyu Xu, Ruoyu Xu, Victor S. Sheng

Bridging the Gap between Source Code and Requirements Using GPT (Student Abstract)

Ruoyu Xu, Zhenyu Xu, Gaoxiang Li, Victor S. Sheng

Intersection of Artificial Intelligence and Medical Education (Student Abstract)

Keefer P. Wu, Patricia C. Tsang

Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract)

Yutao Wei, Wenzheng Shu, Zhangtao Cheng, Wenxin Tai, Chunjing Xiao

The CoachAI Badminton Environment: A Novel Reinforcement Learning Environment with Realistic Opponents (Student Abstract)

Kuang-Da Wang, Wei-Yao Wang, Yu-Tse Chen, Yu-Heng Lin, Wen-Chih Peng

Opening the Black Box: Unraveling the Classroom Dialogue Analysis (Student Abstract)

Deliang Wang

Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract)

Guihong Wan, Wei Mao, Yevgeniy R. Semenov, Haim Schweitzer

COPD-FlowNet: Elevating Non-invasive COPD Diagnosis with CFD Simulations (Student Abstract)

Aryan Tyagi, Aryaman Rao, Shubhanshu Rao, Raj Kumar Singh

Gaze-Based Interaction Adaptation for People with Involuntary Head Movements (Student Abstract)

Cindy Tong, Rosanna Chan

Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract)

Hui Tang, Xun Liang, Sensen Zhang

Evaluation of Large Language Models on Code Obfuscation (Student Abstract)

Adrian Swindle, Derrick McNealy, Giri Krishnan, Ramyaa Ramyaa

DDViT: Double-Level Fusion Domain Adapter Vision Transformer (Student Abstract)

Linpeng Sun, Victor S. Sheng

Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract)

William St-Arnaud, Margarida Carvalho, Golnoosh Farnadi

Investigation into Training Dynamics of Learned Optimizers (Student Abstract)

Jan Sobotka, Petr Šimánek

Confidence Is All You Need for MI Attacks (Student Abstract)

Abhishek Sinha, Himanshi Tibrewal, Mansi Gupta, Nikhar Waghela, Shivank Garg

Diverse Yet Biased: Towards Mitigating Biases in Generative AI (Student Abstract)

Akshit Singh

Faithful Trip Recommender Using Diffusion Guidance (Student Abstract)

Wenzheng Shu, Yanlong Huang, Wenxin Tai, Zhangtao Cheng, Bei Hui

Coordination of Emergent Demand Changes via Value-Based Negotiation for Supply Chain Management (Student Abstract)

Takumu Shimizu, Ryota Higa, Katsuhide Fujita, Shinji Nakadai

Rider Posture-Based Continuous Authentication with Few-Shot Learning for Mobility Scooters (Student Abstract)

Devan Shah, Ruoqi Huang, Tingting Chen, Murtuza Jadliwala

Adapting Animal Models to Assess Sufficiency of Fluid Resuscitation in Humans (Student Abstract)

Ryan Schuerkamp, Xinyu Li, Brian Kunzer, Leonard S. Weiss, Hernando Gómez

Frequency Oracle for Sensitive Data Monitoring (Student Abstract)

Richard Sances, Olivera Kotevska, Paul Laiu

Instance-Wise Laplace Mechanism via Deep Reinforcement Learning (Student Abstract)

Sehyun Ryu, Hosung Joo, Jonggyu Jang, Hyun Jong Yang

Finetuning LLMs for Automatic Concept to TTI Prompt Generation (Student Abstract)

Jeremy Rutter, Maneesh Reddy Chamakura, Justin Delgado, Gene Louis Kim

Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract)

Brandon Rozek, Junkyu Lee, Harsha Kokel, Michael Katz, Shirin Sohrabi

FAIR-FER: A Latent Alignment Approach for Mitigating Bias in Facial Expression Recognition (Student Abstract)

Syed Sameen Ahmad Rizvi, Aryan Seth, Pratik Narang

Well-Written Knowledge Graphs: Most Effective RDF Syntaxes for Triple Linearization in End-to-End Extraction of Relations from Texts (Student Abstract)

Célian Ringwald, Fabien Gandon, Catherine Faron, Franck Michel, Hanna Abi Akl

DQSSA: A Quantum-Inspired Solution for Maximizing Influence in Online Social Networks (Student Abstract)

Aryaman Rao, Parth Singh, Dinesh Kumar Vishwakarma, Mukesh Prasad

Learning Random Noise Salient Feature Fusion Siamese Network for Low-Resolution Object Tracking (Student Abstract)

Md Maklachur Rahman, Tracy Hammond

HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract)

Magdalena Proszewska, Marcin Mazur, Tomasz Trzcinski, Przemysław Spurek

Knowledge Transfer via Compact Model in Federated Learning (Student Abstract)

Jiaming Pei, Wei Li, Lukun Wang

QuickRender: A Photorealistic Procedurally Generated Dataset with Applications to Super Resolution (Student Abstract)

Morgan Payette, Charlotte Curtis

Skip-GANomaly++: Skip Connections and Residual Blocks for Anomaly Detection (Student Abstract)

June-Young Park, Jae-Ryung Hong, Min-Hye Kim, Tae-Joon Kim

Virtual Action Actor-Critic Framework for Exploration (Student Abstract)

Bumgeun Park, Taeyoung Kim, Quoc-Vinh Lai-Dang, Dongsoo Har

Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract)

Shikang Pang, Chunjing Xiao, Wenxin Tai, Zhangtao Cheng, Fan Zhou

Neuroevolution of a Multi-Generator GAN (Student Abstract)

Suraj Pandey

A Wireframe-Based Approach for Classifying and Acquiring Proficiency in the American Sign Language (Student Abstract)

Dylan Pallickara, Sarath Sreedharan

Large Language Models as Planning Domain Generators (Student Abstract)

James Oswald, Kavitha Srinivas, Harsha Kokel, Junkyu Lee, Michael Katz

Target-Free Domain Adaptation through Cross-Adaptation (Student Abstract)

Aleksander Obuchowski, Barbara Klaudel, Piotr Frąckowski, Sebastian Krajna, Wasyl Badyra

When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract)

Simin Niu, Xun Liang, Sensen Zhang, Shichao Song, Xuan Zhang