Accepted Posters

*star denotes the poster presenter

• A wholistic Bayesian time-series approach to media mix modeling SHATRUNJAI P SINGH (NOOM)*; Mert Bay (Noom); Edwin Ng (Uber)

• Enhancing Risk Aware Decision in Healthcare through Probabilistic Modeling of Uncertainty Rahul Vishwakarma (California State University Long Beach)*; Jinha Hwang (California State University Long Beach); Benyamin Benyamin (California State University Long Beach)

• Machine Learning-based Classification of Alfvén Eigenmodes Using CO2 Interferometer Data on the DIII-D National Fusion Facility Alvin Garcia (University of California, Irvine)*; Azarakhsh Jalalvand (Princeton University); Peter Steiner (TU Dresden); Andrew Rothstein (Princeton University); Michael Van Zeeland (General Atomics); William Heidbrink (University of California, Irvine); Egemen Kolemen (Princeton University)

• Predictive Nanotoxicology: Probabilistic Framework for Toxicity Data Analysis of Nanomaterials Bilal M Khan (California State University San Bernardino)*; Khalil Dajani (California State University San Bernardino); Yoram Cohen (University of California Los Angeles)

• NanoDataBank: A Flexible Database Management System for Nanomaterials Bilal M Khan (California State University San Bernardino)*; Yoram Cohen (University of California Los Angeles); Khalil Dajani (California State University San Bernardino)

• Usefulness of Vaccine Adverse Event Reporting System for Machine-Learning Based Vaccine Research: A Case Study for COVID-19 Vaccines James Flora (California State University San Bernardino); Bilal M Khan (California State University San Bernardino)*; Wasiq Dr Khan (Liverpool John Moores University); Jennifer Jin (California State University San Bernardino); Daniel Jin (Loma Linda University Medical Center ); Abir Hussain (University of Sharjah); Khalil Dajani (California State University San Bernardino)

• REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory Ziniu Hu (UCLA)*

• AI+Science: Knowledge-augmented Deep Learning Zijun Cui (University of Southern California)*

• DepressionGPT: GPT-3.5 Enhanced Depression Identification on Twitter kiana kheiri (utah state university)*

• Identifying Case Onset Points for Early Detection of Influenza-like Illness Shannon Rumsey (University of California, Santa Barbara)*; Edward Ho (University of California, Santa Barbara); Chunting Zheng (University of California, Santa Barbara); Nealson Setiawan (University of California, Santa Barbara); Jennifer Park (University of California, Santa Barbara)

• One Textbook Is All You Need Alyssa Sawyer (Harvey Mudd College)*; Iraj J Moradi (Pitzer College); Lucas Welch (Claremont McKenna College); Jingxiu Zhao (Scripps College); Sophia Huang (Claremont McKenna College); Nethmin Liyanage (Pitzer College); Michael Izbicki (Claremont McKenna)

• HOPE: High-order Graph ODE For Modeling Interacting Dynamics Xiao Luo (UCLA)*; Jingyang Yuan (Peking University); Zijie Huang (University of California, Los Angeles); Huiyu Jiang (UCSB); Yifang Qin (Peking University); Wei Ju (Peking University); Ming Zhang (Peking University); Yizhou Sun (UCLA)

• Self-Expressive Structures in Neural Network Representations Uday Singh Saini (University of California, Riverside)*; William L Shiao (University of California, Riverside); Yahya Sattar (University of California Riverside); Yogesh Dahiya (Institute of Mathematical Sciences); Samet Oymak (University of California, Riverside); Evangelos Papalexakis (UC Riverside)

• Domain-Aware Prototypical Federated Learning Chuizheng Meng (University of Southern California)*; Jianke Yang (University of California San Diego); Hao Niu (KDDI Research, Inc.); Guillaume Habault (KDDI Research, Inc.); Roberto Legaspi (KDDI Research, Inc.); Shinya Wada (KDDI Research, Inc.); CHIHIRO ONO (KDDI Research, Inc., KDDI Corporation); Yan Liu (USC)

• Quantifying discourse in online forums Arman Irani (University of California, Riverside)*

• Towards Vehicle Electrification: Traffic Analysis of Medium- and Heavy-Duty Vehicles in the Inland Empire Sai Kalyan Ayyagari (California State University, San Bernardino)*; Bhavik Pankaj Khatri (California State University, San Bernardino); Raffi Der Wartanian (California State University San Bernardino); Kimberly Collins (California State University, San Bernardino); Yunfei Hou (California State University, San Bernardino)

• Transferable and Interpretable Treatment Effectiveness Prediction for Ovarian Cancer via Multimodal Deep Learning Emily T Nguyen (University of Southern California)*; Sam Griesemer (USC); Zijun Cui (University of Southern California); Leyland B Yang (Melady Lab); Joeseph Carlson (USC); Yan Liu (USC)

• Incorporating Knowledge of Tissue Composition to Improve Registration of Breast Tomosynthesis Scans Yunzheng Zhu (UCLA)*; William Hsu (UCLA)

• A Knowledge Graph-Based Search Engine for Robustly Finding Doctors and Locations in the Healthcare Domain Mayank Kejriwal (USC ISI)*; Hamid Haidarian (Kaiser Permanente); Min-Hsueh Chiu (USC ISI); Andy Xiang (Kaiser Permanente); Deep Shrestha (Kaiser Permanente); Faizan Javed (Kaiser Permanente)

• Using Texera to Characterize Climate Change Discussions on Twitter During Wildfires Shengquan Ni (U C Irvine)*; Yicong Huang (UC Irvine); Jessie Ko (UC Irvine); Alexander Taylor (University of California - Los Angeles); Xiusi Chen (University of California, Los Angeles); Avinash Kumar (U C IRVINE); Sadeem Alsudais (UC Irvine); Zuozhi Wang (U C Irvine); Xiaozhen Liu (University of California, Irvine); Wei Wang (UCLA); Suellen Hopfer (UC Irvine); Chen Li (UC Irvine)

• Causal Inference on Networked Environment Qiang Huang (Jilin University)*; Yi Chang (Jilin University); Yan Liu (USC)

• OpenCanopy: Leveraging aerial imagery and deep learning to delineate California’s urban tree canopy Nam Nguyen (California Polytechnic State University, San Luis Obispo); Jessica Baiza (California Polytechnic State University, San Luis Obispo); Camille Pawlak (California Polytechnic State University, San Luis Obispo); Griffen Guizan (California Polytechnic State University, San Luis Obispo); Sara Arnold (California Polytechnic State University, San Luis Obispo); Ryley Chase (California Polytechnic State University, San Luis Obispo); Lexxie Crocker (California Polytechnic State University, San Luis Obispo); Jenn Yost (California Polytechnic State University, San Luis Obispo); Matt Ritter (California Polytechnic State University, San Luis Obispo); Geoffrey A. Fricker (California Polytechnic State University); Jonathan Ventura (California Polytechnic State University, San Luis Obispo)*

• Phenological Prediction of Cherry Blossom Bloom Dates in Various Geographic Locations of Japan Erik Nguyen (California State University Fullerton)*; Doina Bein (California State University Fullerton)

• Designing a Sudoku Solver using TensorFlow and Machine Learning Hori Nguyen (California State University Fullerton)*; Doina Bein (California State University Fullerton)

• Towards Aligned Canonical Correlation Analysis: Preliminary Formulation and Proof-of-Concept Results Biqian Cheng (University of California, Riverside)*; Evangelos Papalexakis (UC Riverside); Jia Chen (The University of California Riverside)

• Infinite Mixture Classifiers with Application to Alzheimer’s Disease Prediction Yueqi Ren (University of California Irvine)*; Craig Stark (University of California Irvine); Babak Shahbaba (University of California Irvine)

• Memorization in Generative Models Nikita U Burger (UCLA)*; Cho-Jui Hsieh (UCLA)

• Alzheimer's Disease Detection Using Data Fusion with Deep Supervised Encoder Minh Trinh (University High School); Ryan Shahbaba (Sage Hill School); Yueqi Ren (University of California Irvine)*

• Machine Learning Enabled Quantitative Analysis of Optically Obscure Scratch on Nickel Plated Additively Manufactured (AM) Samples Andrew C. Grizzle (University of The District of Columbia)*; Betelhiem Mengesha (University of The District of Columbia); Wondwosen Demisse (University of The District of Columbia); Pawan Tyagi (University of The District of Columbia)

• Unveiling A Hidden Risk: Exposing Educational but Malicious Repositories in GitHub Md Rayhanul Masud (University of California, Riverside)*; Michalis Faloutsos (University of California, Riverside)

• Laplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks Yewen Wang (UCLA)*; Shichang Zhang (UC Los Angeles); Junghoo Cho (University of California, Los Angeles); Yizhou Sun (UCLA)

• Understanding and modeling human mobility response to California wildfires Lyndsey Umsted (University of California, Santa Barbara )*; Justin Liu (UCSB); Piero Trujillo (UCSB); Ellen Burrell (UCSB); Laura Lancheros (UCSB); Trevor Ruiz (UCSB); Evgeny Noi (UCSB); Enbo Zhou (UCSB); Somayeh Dodge (UCSB)

• Sample-Efficient Inference in Black-Box Simulators Sam Griesemer (USC)*; Yan Liu (USC)

• Causal Inference from an EM-Learned Causal Model Anna K Raichev (University of California, Irvine)*

• Understanding Illegal Drug Transactions over Darknet Forums Yuntian He (The Ohio State University)*; Pranav Maneriker (Ohio State University); Srinivasan Parthasarathy (Ohio State University)

• Concept Gradients: Concept-based Interpretation Without Linear Assumption Ching-Yuan Bai (UCLA)*; Chih-Kuan Yeh (Carnegie Mellon University); Neil Lin (University of California, Los Angeles); Pradeep Ravikumar (Carnegie Mellon University); Cho-Jui Hsieh (UCLA)

• Machine Learning for Parkinson Detection via Speech Analysis Tan D Nguyen (University of Nevada - Las Vegas)*; Beiyu lin (University of Nevada - Las Vegas)

• Know2Bio: A Comprehensive Biomedical Knowledge Graph Benchmark Harmonizing Heterogenous Sources Yijia Xiao (UCLA); Dylan Steinecke (UCLA); Alexander R Pelletier (University of California, Los Angeles)*; Yushi Bai (Tsinghua University); Peipei Ping (UCLA); Wei Wang (UCLA)