AAAI-22 Demonstration Program

The AAAI-22 Demonstrations Program is intended to foster discussion and exchange of ideas among researchers and practitioners from academia and industry by presenting software and hardware systems and research prototypes of such systems, including their capabilities and workings. It is expected that all demos will be scheduled for presentation February 24-27.

Demo presentations will fall in the conference-wide poster/demo session time slots:

8:45 – 10:30 AM PST
4:45 – 6:30 PM PST
12:45 – 2:30 AM PST

Each demo poster will be available during all three time segments on the day it is scheduled

 

Accepted Demonstrations

FEBRUARY 24

DEMO-92: MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers
Yihuai Lan, Lei Wang, Qiyuan Zhang, Yunshi Lan, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee-Peng Lim

DEMO-100: SenTag: a Web-based Tool for Semantic Annotation of Textual Documents
Andrea Loreggia, Simone Mosco, Alberto Zerbinati

DEMO-139: PantheonRL
Bidipta Sarkar, Aditi Talati, Andy Shih and Dorsa Sadigh

DEMO-174: Semantic Feature Discovery with Code Mining and Semantic Type Detection
Kavitha Srinivas, Takaaki Tateishi, Daniel Karl I. Weidele, Udayan Khurana, Horst Samulowitz, Toshihiro Takahashi, Dakuo Wang, Lisa Amini

DEMO-213: UCSM-DNN: User and Card Style Modeling with Deep Neural Networks for Personalized Game AI
Daegeun Choe, Youngbak Jo, Shindong Kang, Shounan An, Insoo Oh

DEMO-312: SenSE: A Toolkit for Semantic Change Exploration via Word Embedding Alignment
Maurício Gruppi, Sibel Adali, Pin-Yu Chen

DEMO-373: An End-to-End Traditional Chinese Medicine Constitution Assessment System Based on Multimodal Clinical Feature Representation and Fusion
Huisheng Mao, Baozheng Zhang, Hua Xu, Kai Gao

FEBRUARY 25

DEMO-121: FORCE: A Framework of Rule-based Conversational Recommender System
Jun Quan, Ze Wei, Qiang Gan, Jingqi Yao, Jingyi Lu, Yuchen Dong, Yiming Liu, Yi Zeng, Chao Zhang, Yongzhi Li, Huang Hu, Yingying He, Yang Yang, Daxin Jiang

DEMO-141: PosterBot: A System for Generating Posters of Scientific Papers with Neural Models
Sheng Xu, Xiaojun Wan

DEMO-144: LITMUS Predictor: An AI Assistant for Building Reliable, High-performing and Fair Multilingual NLP Systems
Anirudh Srinivasan, Gauri Kholkar, Rahul Kejriwal, Tanuja Ganu, Sandipan Dandapat, Sunayana Sitaram, Balakrishnan Santhanam, Somak Aditya, Kalika Bali, Monojit Choudhury

DEMO-191: EasySM: A data-driven intelligent decision support system for server merge
Manhu Qu, Jie Huang, Hao Deng, Runze Wu, Xudong Shen, Jianrong Tao, Tangjie Lv

DEMO-219: MONICA2 : Mobile Neural Voice Command Assistants Towards Smaller and Smarter
Yoonseok Hong, Shounan An, Sunwoo Im, Jaegeon Jo, Insoo Oh

DEMO-246: Smart Out-of-Home Advertising using Artificial Intelligence and GIS Data
Nader Nader, Rafael Alexandrou, Iasonas Iasonas, Andreas Pamboris, Harris Papadopoulos, Andreas Konstantinidis

DEMO-272: A Synthetic Prediction Market for Estimating Confidence in Published Work
Sarah Rajtmajer, Christopher Griffin, Jian Wu, Robert Fraleigh, Laxmaan Balaji, Anna Squicciarini, Anthony Kwasnica, David Pennock, Michael McLaughlin, Timothy Fritton, Nishanth Nakshatri, Arjun Menon, Sai Ajay Modukuri, Rajal Nivargi, Xin Wei, C. Lee Giles

DEMO-353: Building Goal-Oriented Dialogue Systems with Situated Visual Context
Sanchit Agarwal, Jan Jezabek, Arijit Biswas, Emre Barut, Bill Gao, Tagyoung Chung

FEBRUARY 26

DEMO-204: Silence or Outbreak – A Real-time Emergent Topic Identification System (RealTIS) for Social Media
Ning Lu, Zhen Yang, Jian Huang, Yaxi Wu, Hesong Wang

DEMO-238: EasySED: Trusted Sound Event Detection with Self-Distillation
Qingsong Zhou, Kele Xu, Ming Feng

DEMO-265: A Trend-Driven Fashion Design System for Rapid Response Marketing in E-commerce
Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Rong Jin

DEMO-284: RES: A Replicability Estimation System
Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. Shipman, Xia Hu, James Caverlee

DEMO-318: AnomalyKiTS: Anomaly Detection Toolkit for Time Series
Dhaval Patel, Giridhar Ganapavarapu, Srideepika Jayaraman, Shuxin Lin, Anuradha Bhamidipaty and Jayant Kalagnanam

DEMO-370: CrowdFL: A Marketplace for Crowdsourced Federated Learning
Daifei Feng, Cicilia Helena, Wei Yang Bryan Lim, Jer Shyuan Ng, Hongchao Jiang, Zehui Xiong, Jiawen Kang, Han Yu, Dusit Niyato and Chunyan Miao

DEMO-377: SWWS: A Smart Wildlife Warning Sign System
Alan Ma

DEMO-416: Dynamic Incentive Mechanism Design for COVID-19 Social Distancing
Xuan Rong Zane Ho, Wei Yang Bryan Lim, Hongchao Jiang, Jer Shyuan Ng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao

FEBRUARY 27

DEMO-126: AI Assisted Data Labeling with Interactive Auto Label
Michael Desmond, Michelle Brachman, Evelyn Duesterwald, Casey Dugan, Narendra Nath Joshi, Qian Pan and Carolina Spina

DEMO-182: ALLURE: A Multi-modal Guided Environment for Helping Children Learn to Solve a Rubik’s Cube with Automatic Solving and Interactive Explanations
Kausik Lakkaraju, Thahimum Hassan, Vedant Khandelwal, Prathamjeet Singh, Cassidy Bradley, Ronak Shah, Forest Agostinelli, Biplav Srivastava, Dezhi Wu

DEMO-255: A Goal-driven Natural Language Interface for Creating Application Integration Workflows
Michelle Brachman, Christopher Bygrave, Tathagata Chakraborti, Arunima Chaudhary, Zhining Ding, Casey Dugan, David Gros, Thomas Gschwind, James Johnson, Jim Laredo, Christoph Miksovic, Priyanshu Rai, Ramkumar Ramalingam, Paolo Scotton, Nagarjuna Surabathina, Kartik Talamadupula

DEMO-285: CCA: An ML Pipeline for Cloud Anomaly Troubleshooting
Lili Georgieva, Ioana Giurgiu, Serge Monney, Haris Pozidis, Viviane Potocnik, Mitch Gusat

DEMO-309: InteractEva: A Simulation-based Evaluation Framework for Interactive AI Systems
Yannis Katsis, Martín Santillán Cooper, Maeda F. Hanafi, Yunyao Li

DEMO-320: PYLON: A PyTorch Framework for Learning with Constraints
Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh

DEMO- 325: A Demonstration of Compositional, Hierarchical Interactive Task Learning
Aaron Mininger, John Laird

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