AAAI-22 Student Abstract and Poster Program

February 24-27, 2022

The AAAI-22 Student Abstract program provides a forum in which students can present and discuss their work during its early stages, meet some of their peers who have related interests, and introduce themselves to more senior members of the field. The program is open to all students at the Undergraduate, Masters, and Doctoral levels.

In addition to poster presentations, the authors of (20) accepted abstracts have been asked to submit 3-minute prerecorded videos for the Three-Minute Presentation Contest. A special prize committee will select the best presentation. The (20) finalists have been designated with an (*) in the schedule below.

The full schedule of student abstract poster presentations will be available in January.

AAAI-22 Accepted Student Abstract Papers

* Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract)
Hansin Ahuja, Lynnette Hui Xian Ng, Kokil Jaidka

PESTO: Switching Point Based Dynamic and Relative Positional Encoding for Code-Mixed Languages (Student Abstract)
Mohsin Ali, Sai Teja Kandukuri, Sumanth Manduru, Parth Patwa, Amitava Das

A Deep Learning-Based Face Mask Detector for Autonomous Nano-Drones (Student Abstract)
Eiman AlNuaimi, Elia Cereda, Rafail Psiakis, Suresh Sugumar, Alessandro Giusti, Daniele Palossi

Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract)
Arjun Ashok, Chaitanya Devaguptapu, Vineeth N Balasubramanian

Manipulating SHAP via Adversarial Data Perturbations (Student Abstract)
Hubert Baniecki, Przemyslaw Biecek

Deep Learning Based Side Channel Attacks on Lightweight Cryptography (Student Abstract)
Alexander Benjamin, Jack Herzoff, Liljana Babinkostova, Edoardo Serra

* Annotation Cost-Sensitive Deep Active Learning with Limited Data (Student Abstract)
Renaud Bernatchez, Audrey Durand, Flavie Lavoie-Cardinal

INDEPROP: Information-Preserving De-Propagandization of News Articles (Student Abstract)
Aaryan Bhagat, Faraaz Mallick, Neel Karia, Ayush Kaushal

Multi-Dimension Attention for Multi-Turn Dialog Generation (Student Abstract)
Belainine Billal, Sadat Fatiha, Boukadoum Mounir

A Multimodal Fusion-Based LNG Detection for Monitoring Energy Facilities (Student Abstract)
Junchi Bin, Choudhury A. Rahman, Shane Rogers, Shan Du, Zheng Liu

Controlling the Spread of Two Secrets in Diverse Social Networks (Student Abstract)
Václav Blažej, Dušan Knop, Šimon Schierreich

Bridging the Gap between Expression and Scene Text for Referring Expression Comprehension (Student Abstract)
Yuqi Bu, Jiayuan Xie, Liuwu Li, Qiong Liu, Yi Cai

Numerical Approximations of Log Gaussian Cox Process (Student Abstract)
Francois Buet-Golfouse, Hans Roggeman

Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract)
Ruibin Chen, Miao Zhang, Xin Zheng, Shirui Pan

Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract)
Zhangtao Cheng, Ting Zhong, Kunpeng Zhang, Joojo Walker, Fan Zhou

An Emotion-Based Multi-Task Approach to Fake News Detection (Student Abstract)
Arjun Choudhry, Inder Khatri, Minni Jain

* Does the Geometry of the Data Control the Geometry of Neural Predictions? (Student Abstract)
Anirudh Cowlagi, Pratik Chaudhari

Transformation of Emotions in Images Using Poisson Blended Generative Adversarial Networks (Student Abstract)
Aristidis Dernelakis, Jungin Kim, Kevin Velasquez, Lee Stearns

Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks (Student Abstract)
Amil Dravid, Aggelos K. Katsaggelos

An Optimal Transport Approach to Deep Metric Learning (Student Abstract)
Jason Xiaotian Dou, Lei Luo, Raymond Mingrui Yang

Transformer-Based Unsupervised Learning for Early Detection of Sepsis (Student Abstract)
Yutao Dou, Wei Li, Albert Y. Zomaya

Identifying ATT&CK Tactics in Android Malware Control Flow Graph through Graph Representation Learning and Interpretability (Student Abstract)
Jeffrey Fairbanks, Andres Orbe, Christine Patterson, Edoardo Serra, Marion Scheepers

* Reinforcement Learning Explainability via Model Transforms (Student Abstract)
Mira Finkelstein, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey S. Rosenshein, Sarah Keren

Wind Prediction under Random Data Corruption (Student Abstract)
Conner Flansburg, Dimitrios I. Diochnos

Knowledge-Enhanced Scene Graph Generation with Multimodal Relation Alignment (Student Abstract)
Ze Fu, Junhao Feng, Changmeng Zheng, Yi Cai

HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract)
Piotr Gaiński, Łukasz Maziarka, Tomasz Danel, Stanisław Jastrzebski

From Video to Images: Contrastive Pretraining for Emotion Recognition from Single Image (Student Abstract)
Bhanu Garg, Kijun Kim, Sudhanshu Ranjan

An Ontological Approach towards Automatic Creation of Infographics from Formal Text (Student Abstract)
Devin Garg, Tanuj Agarwal, Chiranjoy Chattopadhyay

JoTA: Aligning Multilingual Job Taxonomies through Word Embeddings (Student Abstract)
Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica

MBGRLp: Multiscale Bootstrap Graph Representation Learning on Pointcloud (Student Abstract)
Vandan Gorade, Azad Singh, Deepak Mishra

Memotion Analysis through the Lens of Joint Embedding (Student Abstract)
Nethra Gunti, Sathyanarayanan Ramamoorthy, Parth Patwa, Amitava Das

Contrastive Personalization Approach to Suspect Identification (Student Abstract)
Devansh Gupta, Drishti Bhasin, Sarthak Bhagat, Shagun Uppal, Ponnurangam Kumaraguru, Rajiv Ratn Shah

A Simplified Benchmark for Ambiguous Explanations of Knowledge Graph Link Prediction Using Relational Graph Convolutional Networks (Student Abstract)
Nicholas Halliwell, Fabien Gandon, Freddy Lecue

* Deep Representation Debiasing via Mutual Information Minimization and Maximization (Student Abstract)
Ruijiang Han, Wei Wang, Yuxi Long, Jiajie Peng

Class-Wise Adaptive Self Distillation for Federated Learning on Non-IID Data (Student Abstract)
Yuting He, Yiqiang Chen, Xiaodong Yang, Yingwei Zhang, Bixiao Zeng

Detecting Neighborhood Gentrification at Scale via Street Views and POIs (Student Abstract)
Tianyuan Huang

A Discriminative and Robust Feature Learning Approach for EEG-Based Motor Imagery Decoding (Student Abstract)
Xiuyu Huang, Nan Zhou, Kup-Sze Choi

A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks (Student Abstract)
S. Indrapriyadarsini, Shahrzad Mahboubi, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai

AsyncFL: Asynchronous Federated Learning Using Majority Voting with Quantized Model Updates (Student Abstract)
Suji Jang, Hyuk Lim

Code Representation Learning Using Prüfer Sequences (Student Abstract)
Tenzin Jinpa, Yong Gao

Gerrymandering under Uncertain Preferences (Student Abstract)
Benjamin Kelly

FedCC: Federated Learning with Consensus Confirmation for Byzantine Attack Resistance (Student Abstract)
Woocheol Kim, Hyuk Lim

Tracking Down Misguiding Terms for Locating Bugs in Deep Learning-Based Software (Student Abstract)
Youngkyoung Kim, Misoo Kim, Eunseok Lee

Predicting RNA Mutation Effects through Machine Learning of High-Throughput Ribozyme Experiments (Student Abstract)
Joseph Kitzhaber, Ashlyn Trapp, James Beck, Edoardo Serra, Francesca Spezzano, Eric Hayden, Jessica Roberts

Balancing the Spread of Two Opinions in Sparse Social Networks (Student Abstract)
Dušan Knop, Šimon Schierreich, Ondřej Suchý

* How to Reduce Action Space for Planning Domains? (Student Abstract)
Harsha Kokel, Junkyu Lee, Michael Katz, Shirin Sohrabi, Kavitha Srinivas

A Scalable Parallel Algorithm for Balanced Sampling (Student Abstract)
Alexander Lee, Stefan Walzer-Goldfeld, Shukry Zablah, Matteo Riondato

TRACER: Extreme Attention Guided Salient Object Tracing Network (Student Abstract)
Min Seok Lee, WooSeok Shin, Sung Won Han

* Social Aware Assignment of Passengers in Ridesharing (Student Abstract)
Chaya Levinger, Noam Hazon, Amos Azaria

SimCTC: A Simple Contrast Learning Method of Text Clustering (Student Abstract)
Chen Li, Xiaoguang Yu, Shuangyong Song, Jia Wang, Bo Zou, Xiaodong He

Geotagging Social Media Posts to Landmarks Using Hierarchical BERT (Student Abstract)
Menglin Li, Kwan Hui Lim

A Probabilistic Framework for Land Deformation Prediction (Student Abstract)
Rongfan Li, Fan Zhou, Goce Trajcevski, Kunpeng Zhang, Ting Zhong

* Exploring Entity Interactions for Few-Shot Relation Learning (Student Abstract)
Yi Liang, Shuai Zhao, Bo Cheng, Yuwei Yin, Hao Yang

MMAN: Metapath Based Multi-Level Graph Attention Networks for Heterogeneous Network Embedding (Student Abstract)
Jie Liu, Lingyun Song, Li Gao, Xuequn Shang

The Psychology of Semantic Spaces: Experiments with Positive Emotion (Student Abstract)
Xuan Liu, Kokil Jaidka, Niyati Chhaya

* Adaptive Safe Behavior Generation for Heterogeneous Autonomous Vehicles Using Parametric-Control Barrier Functions (Student Abstract)
Yiwei Lyu, Wenhao Luo, John M. Dolan

* Switch-GPT: An Effective Method for Constrained Text Generation under Few-Shot Settings (Student Abstract)
Chang Ma, Song Zhang, Gehui Shen, Zhihong Deng

A Short-Term Tropical Cyclone Intensity Forecasting Method Based on High-Order Tensor (Student Abstract)
Fan Meng, Handan Sun, Danya Xu, Pengfei Xie, Tao Song

Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract)
Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhiqian Chen

Enumerating Nontrivial Knot Mosaics with SAT (Student Abstract)
Hannah Miller

Actionable Model-Centric Explanations (Student Abstract)
Cecilia G. Morales, Nicholas Gisolfi, Robert Edman, James K. Milller, Artur Dubrawski

A Model for the Prediction of Lifetime Profit Estimate of Dairy Cattle (Student Abstract)
Vahid Naghashi, Abdoulaye Banire Diallo

* Explainable Shapley-Based Allocation (Student Abstract)
Meir Nizri, Noam Hazon, Amos Azaria

Using Reinforcement Learning for Operating Educational Campuses Safely during a Pandemic (Student Abstract)
Elizabeth Akinyi Ondula, Bhaskar Krishnamachari

Grad-Align: Gradual Network Alignment via Graph Neural Networks (Student Abstract)
Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao

GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract)
Michael Potter, Hamlin Liu, Yash Lala, Christian Loanzon, Yizhou Sun

CL-NERIL: A Cross-Lingual Model for NER in Indian Languages (Student Abstract)
Akshara Prabhakar, Gouri Sankar Majumder, Ashish Anand

Aspect-Opinion Sentiment Alignment for Cross-Domain Sentiment Analysis (Student Abstract)
Haopeng Ren, Yi Cai, Yushi Zeng

XDC: Adversarial Adaptive Cross Domain Face Clustering (Student Abstract)
Saed Rezayi, Handong Zhao, Sheng Li

Integer and Constraint Programming Revisited for Mutually Orthogonal Latin Squares (Student Abstract)
Noah Rubin, Curtis Bright, Brett Stevens, Kevin Cheung

Do We Need a New Large-Scale Quality Assessment Database for Generative Inpainting Based 3D View Synthesis? (Student Abstract)
Sadbhawna, Vinit Jakhetiya, Badri N. Subudhi, Harshit Shakya, Deebha Mumtaz

NEUROCRYPT: Coercion-Resistant Implicit Memory Authentication (Student Abstract)
Ritul Satish, Niranjan Rajesh, Argha Chakrabarty, Aditi Jain, Sristi Bafna, Arup Mondal, Debayan Gupta

Towards One Shot Search Space Poisoning in Neural Architecture Search (Student Abstract)
Nayan Saxena, Robert Wu, Rohan Jain

Optimizing Global Influenza Surveillance for Locations with Deficient Data (Student Abstract)
Songwei Shan, Qi Tan, Yiu Chung Lau, Zhanwei Du, Eric H.Y. Lau, Peng Wu, Benjamin J. Cowling

* Prototype-Based Explanations for Graph Neural Networks (Student Abstract)
Yong-Min Shin, Sun-Woo Kim, Eun-Bi Yoon, Won-Yong Shin

Modeling Constraints Can Identify Winning Arguments in Multi-Party Interactions (Student Abstract)
Suzanna Sia, Kokil Jaidka, Niyati Chhaya, Kevin Duh

C3D and Localization Model for Locating and Recognizing the Actions from Untrimmed Videos (Student Abstract)
Himanshu Singh, Tirupati Pallewad, Badri N Subudhi, Vinit Jakhetiya

* On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract)
Agnieszka Słowik, Léon Bottou, Sean B. Holden, Mateja Jamnik

* Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract)
Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash

Criticality-Based Advice in Reinforcement Learning (Student Abstract)
Yitzhak Spielberg, Amos Azaria

Training Up to 50 Class ML Models on 3 $ IoT Hardware via Optimizing One-vs-One Algorithm (Student Abstract)
Bharath Sudharsan

* Sampling and Counting Acyclic Orientations in Chordal Graphs (Student Abstract)
Wenbo Sun

A Repetitive Spectrum Learning Framework for Monaural Speech Enhancement in Extremely Low SNR Environments (Student Abstract)
Wenxin Tai

VeNAS: Versatile Negotiating Agent Strategy via Deep Reinforcement Learning (Student Abstract)
Toki Takahashi, Ryota Higa, Katsuhide Fujita, Shinji Nakadai

Hybrid Deep Learning Model for Fake News Detection in Social Networks (Student Abstract)
Bibek Upadhayay, Vahid Behzadan

Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay (Student Abstract)
Hitesh Vaidya, Travis Desell, Alexander Ororbia

Modeling Abstract Algebra as an OWL Ontology (Student Abstract)
Michael Vance

Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract)
Guanyu Wang, Xovee Xu, Ting Zhong, Fan Zhou

Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract)
Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu

Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract)
Zhiyuan Wang, Fan Zhou, Kunpeng Zhang, Yong Wang

* BigCQ: Generating a Synthetic Set of Competency Questions Formalized into SPARQL-OWL (Student Abstract)
Dawid Wiśniewski, Jędrzej Potoniec, Agnieszka Ławrynowicz

Mixed Embedding of XLM for Unsupervised Cantonese-Chinese Neural Machine Translation (Student Abstract)
Ka Ming Wong, Richard Tzong-Han Tsai

A Hybrid Evolutionary Algorithm for the Diversified Top-k Weight Clique Search Problem (Student Abstract)
Jun Wu, Minghao Yin

* NeuralArTS: Structuring Neural Architecture Search with Type Theory (Student Abstract)
Robert Wu, Nayan Saxena, Rohan Jain

Efficient Attribute (α,β)-Core Detection in Large Bipartite Graphs (Student Abstract)
Yanping Wu, Renjie Sun, Chen Chen, Xiaoyang Wang

Proof of Learning: Towards a Practical Blockchain Consensus Mechanism Using Directed Guiding Gradients (Student Abstract)
Yongqi Wu, Xingjun Wang, Chen Chen, Guining Liu

Learning to Evolve on Dynamic Graphs (Student Abstract)
Xintao Xiang, Tiancheng Huang, Donglin Wang

Automatic Slides Generation for Scholarly Papers: A Fine-Grained Dataset and Baselines (Student Abstract)
Sheng Xu, Xiaojun Wan

Crowdsourcing with Meta-Knowledge Transfer (Student Abstract)
Sunyue Xu, Jing Zhang

Multi-View Adjacency-Constrained Nearest Neighbor Clustering (Student Abstract)
Jie Yang, Chin-Teng Lin

Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract)
Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen

* Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract)
Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou

Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract)
Liu Yu, Xovee Xu, Ting Zhong, Goce Trajcevski, Fan Zhou

Enhance Cross-Domain Aspect-Based Sentiment Analysis by Incorporating Commonsense Relational Structure (Student Abstract)
Yushi Zeng, Guohua Wang, Haopeng Ren, Yi Cai

* Predicting the Influence of Fake and Real News Spreaders (Student Abstract)
Amy Zhang, Aaron Brookhouse, Daniel Hammer, Francesca Spezzano, Liljana Babinkostova

Understanding Stochastic Optimization Behavior at the Layer Update Level (Student Abstract)
Jack Zhang, Guan Xiong Qiao, Alexandru Lopotenco, Ian Tong Pan

From “Dynamics on Graphs” to “Dynamics of Graphs”: An Adaptive Echo-State Network Solution (Student Abstract)
Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao

A Multi-Factor Classification Framework for Completing Users’ Fuzzy Queries (Student Abstract)
Yaning Zhang, Liangqing Wu, Yangyang Wang, Jia Wang, Xiaoguang Yu, Shuangyong Song, Youzheng Wu, Xiaodong He

Blocking Influence at Collective Level with Hard Constraints (Student Abstract)
Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen

Capsule Graph Neural Network for Multi-Label Image Recognition (Student Abstract)
Xiangping Zheng, Xun Liang, Bo Wu

Enhance Weakly-Supervised Aspect Detection with External Knowledge (Student Abstract)
Zhuoming Zheng, Yi Cai, Liuwu Li

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