The 38th Annual AAAI Conference on Artificial Intelligence
February 20-27, 2024 | Vancouver, Canada
AAAI-24 Student Abstract and Poster Program
Connection to Collaborative Bridge Theme
New communities often emerge when two or more disciplines come together, in order to explore new opportunities and perspectives; today both are plentiful. The purpose of this year’s collaborative bridge theme is to help cultivate this process. As a student, your coursework exposes you deeply to multiple cutting-edge methodologies and disciplines. Consequently, your research as a student offers an ideal opportunity to combine two or more of these methods towards a common purpose. These cross-disciplinary explorations are often rewarded with significant opportunities for collaboration, innovation, and impact and can provide a catalyst for career-long success. In the spirit of this year’s bridge theme, if your research unifies methodologies from multiple AI disciplines, we suggest that you include in your abstract and poster a discussion of how this bridge enables your research objectives.
Program Overview
Incorporating Serverless Computing into P2P Networks for ML Training: In-Database Tasks and Their Scalability Implications (Student Abstract)
Amine Barrak
Knowledge Transfer via Compact Model in Federated Learning (Student Abstract)
Jiaming Pei; Wei Li; Lukun Wang
Opening the Black Box: Unraveling the Classroom Dialogue Analysis (Student Abstract)
Deliang Wang
Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract)
Alaleh Ahmadianshalchi; Syrine Belakaria; Janardhan Rao Doppa
MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract)
Dexter Neo
Simple Orthogonal Graph Representation Learning (Student Abstract)
Taoyong Cui; Yuhan Dong
Contrastive Learning for Low-Light Raw Denoising (Student Abstract)
Taoyong Cui; Yuhan Dong
Kepler Light Curve Classification Using Deep Learning and Markov Transition Field (Student Abstract)
Shane Donnelly; Ayan Dutta
Improving IP Geolocation With Target-Centric IP Graph (Student Abstract)
Kai Yang; Jiayang Li; Wenxin Tai; Zhenhui Li; Ting Zhong; Guangqiang Yin; Yong Wang
Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract)
Sensen Zhang; Xun Liang; Simin Niu; Xuan Zhang; Chen Feng; Yuefeng Ma
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
An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract)
Christine Mwase; Albert Njoroge Kahira; Zhuo Zou
Welfare Maximization in Perpetual Voting (Student Abstract)
Tzeh Yuan Neoh; Nicholas Teh
Improving Faithfulness in Abstractive Text Summarization with EDUs Using BART (Student Abstract)
Narjes Delpisheh; Yllias Chali
MapLE: Matching Molecular Analogues Promptly with Low Computational Resources by Multi-Metrics Evaluation (Student Abstract)
Xiaojian Chen; Chuyue Liao; Yanhui Gu; Yafei Li; Jinlan Wang; Yi Chen; Masaru Kitsuregawa
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
Enhance Diversified Top-k MaxSAT Solving by Incorporating New Strategy for Generating Diversified Initial Assignments (Student Abstract)
Jiaxin Liang; Junping Zhou; Minghao Yin
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract)
Zihan Guan; Mengxuan Hu; Zhongliang Zhou; Jielu Zhang; Sheng Li; Ninghao Liu
Gaze-Based Interaction Adaptation for People with Involuntary Head Movements (Student Abstract)
Cindy Tong; Rosanna Chan
DNIT: Enhancing Day-Night Image-to-Image Translation through Fine-Grained Feature Handling (Student Abstract)
Hanyue Liu; Haonan Cheng; Long Ye
Automated Assessment of Fidelity and Interpretability: An Evaluation Framework for Large Language Models’ Explanations (Student Abstract)
Mu-Tien Kuo; Chih-Chung Hsueh; Richard Tzong-Han Tsai
Sleep-Like Unsupervised Replay Improves Performance When Data Are Limited or Unbalanced (Student Abstract)
Anthony Bazhenov; Pahan Dewasurendra; Giri Krishnan; Jean Erik Delanois
Frequency Oracle for Sensitive Data Monitoring (Student Abstract)
Richard Sances; Olivera Kotevska; Paul Laiu
Evaluating the Effectiveness of Explainable Artificial Intelligence Approaches (Student Abstract)
Jinsun Jung; Hyeoneui Kim
Local Consistency Guidance: Personalized Stylization Method of Face Video (Student Abstract)
Wancheng Feng; Yingchao Liu; Jiaming Pei; Wenxuan Liu; Chunpeng Tian; Lukun Wang
WaveMixSR: Resource-Efficient Neural Network for Image Super-resolution (Student Abstract)
Pranav Jeevan; Akella Srinidhi; Pasunuri Prathiba; Amit Sethi
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; Xiaoping Zhou
Towards a Transformer-Based Reverse Dictionary Model for Quality Estimation of Definitions (Student Abstract)
Julien Guité-Vinet; Alexandre Blondin Massé; Fatiha Sadat
Multipartite Entity Resolution: Motivating a K-Tuple Perspective (Student Abstract)
Adin Aberbach; Mayank Kejriwal; Ke Shen
Scene Flow Prior Based Point Cloud Completion with Masked Transformer (Student Abstract)
Junzhe Ding; Yufei Que; Jin Zhang; Cheng Wu
Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract)
Fangyuan Luo; Jun Wu
Leverage the Explainability of Transformer Models to Improve the DNA 5-Methylcytosine Identification (Student Abstract)
Wenhuan Zeng; Daniel H. Huson
Interpreting Temporal Knowledge Graph Reasoning (Student Abstract)
Bin Chen; Kai Yang; Wenxin Tai; Zhangtao Cheng; Leyuan Liu; Ting Zhong; Fan Zhou
SkillCLIP: Skill Aware Modality Fusion Visual Question Answering (Student Abstract)
Atharva Naik; Yash Parag Butala; Navaneethan Vaikunthan; Raghav Kapoor
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
Enhancing Transcription Factor Prediction through Multi-Task Learning (Student Abstract)
Liyuan Gao; Matthew Zhang; Victor S. Sheng
Virtual Action Actor-Critic Framework for Exploration (Student Abstract)
Bumgeun Park; Taeyoung Kim; Quoc-Vinh Lai-Dang; Dongsoo Har
Diverse Yet Biased: Towards Mitigating Biases in Generative AI (Student Abstract)
Akshit Singh
Effective Data Distillation for Tabular Datasets (Student Abstract)
Inwon Kang; Parikshit Ram; Yi Zhou; Horst Samulowitz; Oshani Seneviratne
Explainable Earnings Call Representation Learning (Student Abstract)
Yanlong Huang; Yue Lei; Wenxin Tai; Zhangtao Cheng; Ting Zhong; Kunpeng Zhang
Automated Natural Language Explanation of Deep Visual Neurons with Large Models (Student Abstract)
Chenxu Zhao; Wei Qian; Yucheng Shi; Mengdi Huai; Ninghao Liu
Coalition Formation for Task Allocation Using Multiple Distance Metrics (Student Abstract)
Tuhin Kumar Biswas; Avisek Gupta; Narayan Changder; Redha Taguelmimt; Samir Aknine; Samiran Chattopadhyay; Animesh Dutta
Digital Twin-Driven Teat Localization and Shape Identification for Dairy Cow (Student Abstract)
Aarushi Gupta; Yuexing Hao; Yuting Yang; Tiancheng Yuan; Matthias Wieland; Parminder S. Basran; Ken Birman
ChatGPT-Generated Code Assignment Detection Using Perplexity of Large Language Models (Student Abstract)
Zhenyu Xu; Ruoyu Xu; Victor S. Sheng
A SAT Solver and Computer Algebra Attack on the Minimum Kochen-Specker Problem (Student Abstract)
Zhengyu Li; Curtis Bright; Vijay Ganesh
Multi-Expert Distillation for Few-Shot Coordination (Student Abstract)
Yujian Zhu; Hao Ding; Zongzhang Zhang
THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract)
Jienan Zhang; Jie Liu; Zhangtao Cheng; Xovee Xu; Fang Liu; Ting Zhong; Kunpeng Zhang
Enhanced Optical Character Recognition by Optical Sensor Combined with BERT and Cosine Similarity Scoring (Student Abstract)
Woohyeon Moon; Sarvar Nengroo; Taeyoung Kim; Jihui Lee; Seungah Son; Dongsoo Har
Research of Event Reconstruct Based on Multi-View Contrastive Learning (Student Abstract)
Yuefeng Ma; Zhongchao He; Shumei Wang
Several Stories about High-Multiplicity EFx Allocation (Student Abstract)
Nikita Morozov; Artur Ignatiev; Yuriy Dementiev
The Language Model Can Have the Personality: Joint Learning for Personality Enhanced Language Model (Student Abstract)
Tianyi Chen; Feiqi Cao; Yihao Ding; Caren Han
Equivalence between Graph Spectral Clustering and Column Subset Selection (Student Abstract)
Guihong Wan; Wei Mao; Yevgeniy R. Semenov; Haim Schweitzer
Cluster-Based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract)
Taeyoung Kim; Dongsoo Har
Investigation into Training Dynamics of Learned Optimizers (Student Abstract)
Jan Sobotka; Petr Šimánek
Multivariate Time-Series Imagification with Time Embedding in Constrained Environments (Student Abstract)
Seung Woo Kang; Ohyun Jo
Skip-GANomaly++: Skip Connections and Residual Blocks for Anomaly Detection (Student Abstract)
June-Young Park; Jae-Ryung Hong; Min-Hye Kim; Tae-Joon Kim
Solar Power Generation Forecasting via Multimodal Feature Fusion (Student Abstract)
Eul Ka; Seungeun Go; Minjin Kwak; Jeong-Hun Kim; Aziz Nasridinov
Target-Free Domain Adaptation through Cross-Adaptation (Student Abstract)
Aleksander Obuchowski; Barbara Klaudel; Piotr Frąckowski; Sebastian Krajna; Wasyl Badyra; Michał Czubenko; Zdzisław Kowalczuk
Rider Posture-Based Continuous Authentication with Few-Shot Learning for Mobility Scooters (Student Abstract)
Devan Shah; Ruoqi Huang; Tingting Chen; Murtuza Jadliwala
FAIR-FER: A Latent Alignment Approach for Mitigating Bias in Facial Expression Recognition (Student Abstract)
Syed Sameen Ahmad Rizvi; Aryan Seth; Pratik Narang
Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract)
Liu Yu; Fenghui Tian; Ping Kuang; Fan Zhou
COPD-FlowNet: Elevating Non-invasive COPD Diagnosis with CFD Simulations (Student Abstract)
Aryan Tyagi; Aryaman Rao; Shubhanshu Rao; Raj Kumar Singh
DQSSA: A Quantum-Inspired Solution for Maximizing Influence in Online Social Networks (Student Abstract)
Aryaman Rao; Parth Singh; Dinesh Kumar Vishwakarma; Mukesh Prasad
Biases Mitigation and Expressiveness Preservation in Language Models: A Comprehensive Pipeline (Student Abstract)
Liu Yu; Ludie Guo; Ping Kuang; Fan Zhou
DDViT: Double-Level Fusion Domain Adapter Vision Transformer (Student Abstract)
Linpeng Sun; Victor S. Sheng
Bridging the Gap between Source Code and Requirements Using GPT (Student Abstract)
Ruoyu Xu; Zhenyu Xu; Gaoxiang Li; Victor S. Sheng
HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract)
Magdalena Proszewska; Marcin Mazur; Tomasz Trzciński; Przemysław Spurek
PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract)
Eric Enouen; Sebastian Caldas; Mononito Goswami; Artur Dubrawski
Structurally Guided Task Decomposition in Spatial Navigation Tasks (Student Abstract)
Ruiqi He; Carlos G. Correa; Tom L. Griffiths; Mark K. Ho
The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers (Student Abstract)
Rickard Brännvall
Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract)
Daya Kumar; Abhijith Sharma; Apurva Narayan
Memory-Augmenting Decoder-Only Language Models through Encoders (Student Abstract)
Alessio Galatolo; Katie Winkle
BertRLFuzzer: A BERT and Reinforcement Learning Based Fuzzer (Student Abstract)
Piyush Jha; Joseph Scott; Jaya Sriram Ganeshna; Mudit Singh; Vijay Ganesh
icsPLMs: Exploring Pre-trained Language Models in Intelligent Customer Service (Student Abstract)
Shixuan Liu; Chao Wang; Shuangyong Song
Sequential Modeling of Complex Marine Navigation: Case Study on a Passenger Vessel (Student Abstract)
Yimeng Fan; Pedram Agand; Mo Chen; Edward J. Park; Allison Kennedy; Chanwoo Bae
Confidence Is All You Need for MI Attacks (Student Abstract)
Abhishek Sinha; Himanshi Tibrewal; Mansi Gupta; Nikhar Waghela; Shivank Garg
Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract)
Amelia Jobe; Richard Ky; Sandra Luo; Akshay Dhamsania; Sumit Purohit; Edoardo Serra
Towards Robustness to Natural Variations and Distribution Shift (Student Abstract)
Josué Martínez-Martínez; Olivia Brown; Rajmonda Caceres
Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract)
William St-Arnaud; Margarida Carvalho; Golnoosh Farnadi
Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract)
Brandon Rozek; Junkyu Lee; Harsha Kokel; Michael Katz; Shirin Sohrabi
Topological and Node Noise Filtering on 3D Meshes Using Graph Neural Networks (Student Abstract)
Vladimir Mashurov; Natalia Semenova
Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract)
Shikang Pang; Chunjing Xiao; Wenxin Tai; Zhangtao Cheng; Fan Zhou
A SAT + Computer Algebra System Verification of the Ramsey Problem R(3, 8) (Student Abstract)
Conor Duggan; Zhengyu Li; Curtis Bright; Vijay Ganesh
Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space (Student Abstract)
Ryan Koo; Yekyung Kim; Dongyeop Kang; Jaehyung Kim
Fast and Knowledge-Free Deep Learning for General Game Playing (Student Abstract)
Michał Maras; Michał Kępa; Jakub Kowalski; Marek Szykuła
Decompositions in Compositional Translation of LTLf to DFA (Student Abstract)
Yash Kankariya; Suguman Bansal
Novax or Novak? Estimating Social Media Stance towards Celebrity Vaccine Hesitancy (Student Abstract)
Madhav Hota; Adel Khorramrouz; Ashiqur R. KhudaBukhsh
Faithful Trip Recommender Using Diffusion Guidance (Student Abstract)
Wenzheng Shu; Yanlong Huang; Wenxin Tai; Zhangtao Cheng; Bei Hui; Goce Trajcevski
Adapting Animal Models to Assess Sufficiency of Fluid Resuscitation in Humans (Student Abstract)
Ryan Schuerkamp; Xinyu Li; Brian Kunzer; Leonard S. Weiss; Hernando Gómez; Francis X. Guyette; Michael R. Pinsky; Artur Dubrawski
Evaluation of Large Language Models on Code Obfuscation (Student Abstract)
Adrian Swindle; Derrick McNealy; Giri Krishnan; Ramyaa Ramyaa
Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers (Student Abstract)
Danilo Dordevic; Vukasin Bozic; Joseph Thommes; Daniele Coppola; Sidak Pal Singh
Intersection of Artificial Intelligence and Medical Education (Student Abstract)
Keefer P. Wu; Patricia C. Tsang
IncepSeqNet: Advancing Signal Classification with Multi-Shape Augmentation (Student Abstract)
Jongseok Kim; Ohyun Jo
Large Language Models as Planning Domain Generators (Student Abstract)
James Oswald; Kavitha Srinivas; Harsha Kokel; Junkyu Lee; Michael Katz; Shirin Sohrabi
JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract)
Yifu Cai; Arvind Srinivasan; Mononito Goswami; Arjun Choudhry; Artur Dubrawski
Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract)
Hui Tang; Xun Liang; Sensen Zhang
Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract)
Jaidev Gill; Vala Vakilian; Christos Thrampoulidis
Finetuning LLMs for Automatic Concept to TTI Prompt Generation (Student Abstract)
Jeremy Rutter; Maneesh Reddy Chamakura; Justin Delgado; Gene Louis Kim
Dual Mapping of 2D StyleGAN for 3D-Aware Image Generation and Manipulation (Student Abstract)
Zhuo Chen; Haimei Zhao; Chaoyue Wang; Bo Yuan; Xiu Li
STViT: Improving Self-Supervised Multi-Camera Depth Estimation with Spatial-Temporal Context and Adversarial Geometry Regularization (Student Abstract)
Zhuo Chen; Haimei Zhao; Bo Yuan; Xiu Li
Graph Clustering Methods Derived from Column Subset Selection (Student Abstract)
Wei Mao; Guihong Wan; Haim Schweitzer
Data-Driven Discovery of Design Specifications (Student Abstract)
Angela Chen; Nicholas Gisolfi; Artur Dubrawski
Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract)
Jinyu Hong; Ping Kuang; Qiang Gao; Fan Zhou
Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract)
Yutao Wei; Wenzheng Shu; Zhangtao Cheng; Wenxin Tai; Chunjing Xiao; Ting Zhong
A Wireframe-Based Approach for Classifying and Acquiring Proficiency in the American Sign Language (Student Abstract)
Dylan Pallickara; Sarath Sreedharan
Shallow Diffusion for Fast Speech Enhancement (Student Abstract)
Yue Lei; Bin Chen; Wenxin Tai; Ting Zhong; Fan Zhou
Instance-Wise Laplace Mechanism via Deep Reinforcement Learning (Student Abstract)
Sehyun Ryu; Hosung Joo; Jonggyu Jang; Hyun Jong Yang
Strategic Recommendation: Revenue Optimal Matching for Online Platforms (Student Abstract)
Luca D’Amico-Wong; Gary Qiurui Ma; David Parkes
QuickRender: A Photorealistic Procedurally Generated Dataset with Applications to Super Resolution (Student Abstract)
Morgan Payette; Charlotte Curtis
Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract)
Boshen Yan; Guihong Wan; Haim Schweitzer; Zoltan Maliga; Sara Khattab; Kun-Hsing Yu; Peter K. Sorger; Yevgeniy R. Semenov
Novel Class Discovery for Representation of Real-World Heritage Data as Neural Radiance Fields (Student Abstract)
Shivanand Kundargi; Tejas Anvekar; Ramesh Tabib; Uma Mudenagudi
Spatial-Temporal Augmentation for Crime Prediction (Student Abstract)
Hongzhu Fu; Fan Zhou; Qing Guo; Qiang Gao
Coordination of Emergent Demand Changes via Value-Based Negotiation for Supply Chain Management (Student Abstract)
Takumu Shimizu; Ryota Higa; Katsuhide Fujita; Shinji Nakadai
Potential-Based Reward Shaping for Intrinsic Motivation (Student Abstract)
Grant C. Forbes; David L. Roberts
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
Fair Representation Learning with Maximum Mean Discrepancy Distance Constraint (Student Abstract)
Alexandru Lopotenco; Ian Tong Pan; Jack Zhang; Guan Xiong Qiao
LaMAR: Laplacian Pyramid for Multimodal Adaptive Super Resolution (Student Abstract)
Aditya Kasliwal; Aryan Kamani; Ishaan Gakhar; Pratinav Seth; Sriya Rallabandi
Learning Random Noise Salient Feature Fusion Siamese Network for Low-Resolution Object Tracking (Student Abstract)
Md Maklachur Rahman; Tracy Hammond
Neuroevolution of a Multi-Generator GAN (Student Abstract)
Suraj Pandey
Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract)
Wenxue Ye; Shichong Li; Zhangtao Cheng; Xovee Xu; Ting Zhong; Bei Hui; Fan Zhou
Multilingual Medical Language Models: A Path to Improving Lay Health Worker Effectiveness (Student Abstract)
Agasthya Gangavarapu
Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract)
Rui Kong; Chenyang Wu; Zongzhang Zhang
Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract)
Yixuan Jin; Yutao Wei; Zhangtao Cheng; Wenxin Tai; Chunjing Xiao; Ting Zhong
Evaluating the Efficacy of Prompting Techniques for Debiasing Language Model Outputs (Student Abstract)
Shaz Furniturewala; Surgan Jandial; Abhinav Java; Simra Shahid; Pragyan Banerjee; Balaji Krishnamurthy; Sumit Bhatia; Kokil Jaidka
Student Abstract Chairs
Jana Doppa (Washington State University, USA)
Fei Fang (CMU, USA)