Student Forum

Program Schedule

October 6, 2024 (Sunday)

Meeting Location: Mission Ballroom

10:30-11:00	Introduction and Ice-Breaker
11:00-11:45	Keynote: Vagelis Papalexakis, UC Riverside
11:45-12:30	Research Pitch Game
12:30-13:00	Organizers Stories
13:00-14:00	Lunch: Ventana Room
14:00-15:00	Panel Discussion: PhD Student Life
15:00-16:00	Poster Session
16:00-21:00	Social Event / Free Time

Panelist

Qiuxiao Chen

Qiuxiao.Chen@csusb.edu

Qiuxiao Chen is an incoming Assistant Professor in the School of Computer Science and Engineering (CSE) at California State University, San Bernardino. Prior to joining CSUSB, Dr. Chen obtained a Ph.D. in Computer Science from Utah State University (USU). Her Ph.D. research focused on computer vision for autonomous driving, 3D object detection, and self-attention mechanisms. Dr. Chen's research interests encompass (1) autonomous driving systems utilizing deep learning and (2) image processing for intelligent parking systems.

Ramu Gautam

ramu.gautam@unlv.edu

Ramu Gautam is a Ph.D. student in Electrical and Computer Engineering at the University of Nevada, Las Vegas, supervised by Dr. Mei Yang. He holds a M.S. degree in Nanotechnology from Louisiana Tech University and B.E. in Electronics and Communication Engineering from Tribhuvan University. His research interests include biological image processing, multi-object tracking and few-shot learning. Currently, he is focused on developing transformer-based methods for tracking subcellular proteins in fluorescence microscopy images.

Nicolas Roque dos Santos

nicolas.roquedossantos2@ucr.edu

Nícolas is a PhD candidate in Computer Science at the University of São Paulo, Brazil, and a Visiting Scholar at the University of California, Riverside, co-supervised by Dr. Alneu de Andrade Lopes and Dr. Vagelis Papalexakis. He also holds an MSc from the University of São Paulo and a B.S. from the Federal University of Mato Grosso do Sul, both in Computer Science. His research interests include Graph Machine Learning, Data Mining, and Tensor Decomposition. Currently, he is focused on developing graph reduction methods to alleviate the computational cost of training Graph Neural Networks (GNNs) on large-scale graphs.

Accepted Papers

Surveying the Terrain of Social Media Platforms via User Migration Patterns
Ujun Jeong (Arizona State University)*; Huan Liu (Arizona State University)
Induced Partitioning for Incremental Feature Selection via Rough Set Theory and Long-Tail Position Grey Wolf Optimization
Said Al Afghani (Khon Kaen University)*; Khamron Sunat (Khamron Sunat); Sattathorn Sooksai (Khon Kaen University)
Designing Robust Deep Learning Models from the Statistical Perspective
Zhichao Hou (North Caroline State University)*
Language Explanations for Self-Driving Scenes
Alexis Luevanos (California State University, San Bernardino); Calvin Glisson (California State University, San Bernardino); Vamsi Sivakavi (California State University, San Bernardino); qiuxiao chen (California State University, San Bernardino)*
Generating Synthetic Kilter Board Bouldering Climbs with RNNs and Multitask Learning
Vinicius Kenton Dugue (California State University, Long Beach)*; Amir Ghasemkhani (California State University, Long Beach)
Certain and Approximately Certain Models for Statistical Learning
Cheng Zhen (Oregon State University)*
Intelligent Reflecting Surface Assisted Wireless Spectrum Monitoring with Decentralized On-device Learning
Sicheng Liu (San Francisco State University)*; Qun Wang (San Francisco State University); Zhuwei Qin (San Francisco State University)
Enhancing Rain Prediction in Australia Using Machine Learning: Tackling Imbalanced Weather Datasets with Pre-processing and Sampling Techniques
Andrew Valdivia (CSULB)*; Amir Ghasemkhani (CSULB)
SLIMgen: Multi-Agent Code and Documentation Generation
Aaron Lin (University of California, Riverside)*; Jonathan Emmons (University of California, Riverside); Raul Razo (University of California, Riverside); Yuchen Zhu (University of California, Riverside)
Intelligent Reflecting Surface Assisted Wireless Spectrum Monitoring with Decentralized On-device Learning
Satvik Verma (SFSU)*; Qun Wang (SFSU)
Use and Compare LASSO, SCAD/MCP for High-dimensional Data with Continuous Outcome Variable
Kaustubh R Harnoor (UC Santa Cruz)*
A Deep Learning Approach to Sheep Segmentation and Activity Classification Utilizing U-Net and Long Short Term Memory Models
Nathan Kelly (California State University San Bernardino); Abir Hussain (University of Sharjah); Khalil Dajani (California State University San Bernardino); Yunfei Hou (California State University San Bernardino); Wasiq Dr Khan (Liverpool John Moores University)*; Bilal M Khan (California State University San Bernardino)
DandelionAI: Leveraging Large Language Models for Mental Health Identification and Counseling
Deepakindresh Narayana Gandhi (University of California Riverside)*; Ojasvi Godha (University of California Riverside); Vaneesha Singh (University of California Riverside); Xinping Cui (University of California Riverside); Xiaoyang Zhou (Dandelion Fly); Yizhou Wang (Dandelion Fly)
MappedPillars: A Map Knowledge-enhanced 3D Multi-object Detection Approach
Ziye Qin (Southwest Jiaotong University, University of California at RIverside)*; Haishan Liu (University of California at Riverside); Chuheng Wei (University of California at Riverside); Guoyuan Wu (UC Riverside); Zhanbo Sun (Southwest Jiaotong University); Peng Hao (CE-CERT at University of California -- Riverside); Matthew Barth (University of California, Riverside)
LLM's for Time Series Data
Saeed Tajik Hesarkuchak (The University of Oklahoma)*; Beiyu lin (University of Nevada - Las Vegas)
LLM for Explainable AI
Ahsan Bilal (University of Oklahoma )*; Beiyu lin (University of Nevada - Las Vegas)
Two-Step Hierarchical Multi-Camera People Tracking
Eerina T Haque (Santa Clara University )*
LLMs for Data-Centric AI
Nam L Huynh (University of Oklahoma)*; Beiyu lin (University of Nevada - Las Vegas)
Generating Suggestive Limitations from Research Articles Using LLM and Graph-Based Approach
Ibrahim Al Azher (Northern Illinois University)*; Hamed Alhoori (Northern Illinois University)
Promoting Fairness in Link Prediction with Graph Enhancement
Yezi Liu (University of California Irvine)*; Hanning Chen (Univeristy of California, Irvine); Mohsen Imani ("University of California, Irvine")

Awards

Best Poster Award: Eerina T Haque
Best Poster Runner up: Ziye Qin
Best Presentation Award: Nathan Kelly
Best Presentation Runner up: Ahsan Bilal

* Award announcement session: 9:00 - 9:30 at Mission Ballroom, Oct 8, 2024