{"id":153,"date":"2025-11-26T09:37:27","date_gmt":"2025-11-26T09:37:27","guid":{"rendered":"https:\/\/aaai26.aidd.sg\/?page_id=153"},"modified":"2026-01-25T01:04:36","modified_gmt":"2026-01-25T01:04:36","slug":"posters","status":"publish","type":"page","link":"https:\/\/aaai26.aidd.sg\/index.php\/posters\/","title":{"rendered":"Posters"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><strong>Poster Guidelines<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"has-medium-font-size\">We recommend posters to be in A1 size in a portrait orientation<\/li>\n\n\n\n<li class=\"has-medium-font-size\">There is no specific poster template for this workshop<\/li>\n\n\n\n<li class=\"has-medium-font-size\">Presenters should print their posters ahead of time and bring them ready to the venue. We are not aware of on-site printing facilities<\/li>\n\n\n\n<li class=\"has-medium-font-size\">Presenters should set up their posters on the morning of the workshop so they are available for viewing during coffee and lunch breaks<\/li>\n\n\n\n<li class=\"has-medium-font-size\">Poster presentations will take place from 16:30-17:30 between the last plenary session and the concluding panel discussion<\/li>\n\n\n\n<li class=\"has-medium-font-size\">Presenters need to remove their posters after the workshop concludes. The venue is shared with other thematic workshops taking place on the next day<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Posters and Presenters<\/strong><\/h2>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS111<\/span> <strong>Brandon Yee, Maximilian Rutkowski, Wilson Collins.<\/strong> <em>Multi-Modal Ensemble Learning for TLR4 Binding Prediction: Addressing Data Scarcity and Leakage in Small Molecule Drug Discovery<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS112<\/span> <strong>Aayush Kothari, Amish Gupta, Marx Akl. <\/strong><em>A Hybrid SMILES-DeepSMILES Transformer Approach Improving Fragment Prediction in Fragment-Based Drug Discovery with DeepBERTa<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS113<\/span> <strong>Yian Pei, Yi Xie, Zhaoyang Zeng, Jianfei Yang. <\/strong><em>Predicting Single-cell Transcriptomic Responses of Novel Genetic Perturbations across Context with DAPert<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS114<\/span> <strong>Sukanya Tukaram Naik, Roshan Balaji, Nirav Pravinbhai Bhatt.<\/strong> <em>ReaXo : Geometry Enhanced 3D Molecular Interaction Representation Learning<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS115<\/span> <strong>Judah Zammit, Yan Sun, Carson Leung, Pingzhao Hu.<\/strong> <em>SynergyIF: Multimodal Intermediate Fusion for Deep Tensor Completion in Anticancer Drug Synergy Prediction<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS116<\/span> <strong>Zhixing Wang, Nurul Binti Japar, Hao Tang.<\/strong> <em>Beyond Bag-of-Words: A Topological Theory of Molecular Representation Using \u03c0-\u03c3 Interaction and Z2-Persistent Homology<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS117<\/span> <strong>Tuan Cao, Hai Luong.<\/strong> <em>Parkinson\u2019s on Purpose: A Disease-Vertical Agentic Pipeline from Literature to Leads<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS118<\/span> <strong>Md Mamunur Rashid, Kumar Selvarajoo.<\/strong> <em>A domain-aligned multimodal attention autoencoder for predicting personalized clinical drug response from cell-line drug screens<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS119<\/span> <strong>Euibeom Shin, Amruta Gajanan Bhat, Murali Ramanathan.<\/strong> <em>Large Language Models for Clinical Trial Protocol Assessments<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS120 <\/span><strong>Xichen Zhang, Lo\u00efc Paulev\u00e9, Tristan Cazenave.<\/strong> <em>Mutation-Set Discovery for Cell-Fate Control: Nested Monte Carlo Search on Boolean Network Ensembles<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS121<\/span> <strong>Nhan Dinh Tran, Krithika Subramani, Chinh Tran-To Su.<\/strong><em>Epi4Ab: A data-driven prediction model of conformational epitopes for specific antibody VH\/VL families and CDRs sequences<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS122<\/span> <strong>Songseong Kim, Jiyeon Kang, Jonghwan Kim, Hyemin Jung, Sangmin Lee, Kiyoung Kim, Soorin Yim, Doyeong Hwang, Sungjoon Park, Soonyoung Lee, Woohyung Lim. <\/strong><em>Utilizing Local Causal Structure Learning in Target Gene Identification for Alzheimer\u2019s Disease<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS123<\/span> <strong>Hideyoshi Fuji.<\/strong> <em>Synthesis-Driven Molecular Design: Growing and Linking Optimizers for Enhanced Synthetic Accessibility and Diversity in Drug Discovery<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS124<\/span> <strong>Oluwatosin Abioye Afolabi. <\/strong><em>Temporal Eigenstate Networks: Linear-Complexity Sequence Modeling via Spectral Decomposition<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS125<\/span> <strong>Shamieraah Jamal, Janice Jia Ni Goh, James Lu. <\/strong><em>Staying Ahead of the Curve: Considerations for Toxicity Endpoints in AI-Driven Development of Small Molecule RNA Binders<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS126<\/span> <strong>Amitesh Badkul, Lei Xie.<\/strong> Adaptive Individual <em>Uncertainty Quantification with Expert-Routed Conformal Prediction for Protein-Ligand Binding Affinity Prediction<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS127<\/span> <strong>Cai Yichao, Sun Miao.<\/strong> <em>Context-Aware Multi-Modal Learning for AI-Driven Target Discovery<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS128<\/span> <strong>Yap Thai Leong, Wan Kah Fei, Sim Wei Qiang, Lee Chop Yan, Lee Hui Zhen, Koh Xiao Hui, Ding Jia Wen, Chiam Poh Cheang.<\/strong> <em>Building a Data-Efficient AI-Augmented Antibody Discovery (AIAD) Framework: A Lab-in-the-Loop Approach for Smarter Experimentation and Therapeutic Lead Identification<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS129<\/span> <strong>Daniel Darabos, Abhik Seal, Gyorgy Lajtai, James Lu. <\/strong><em>Using ESM-2 protein embeddings for tumor volume prediction in an ODE+GNN architecture<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS130<\/span> <strong>Gokul Srinath Seetha Ram.<\/strong> <em>Impossibility Frontiers for Drug Discovery: Multi-Model LLaMA Orchestration, Topological Constraints, and RDKit-GNN Embeddings<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS131<\/span> <strong>Gokul Srinath Seetha Ram.<\/strong> <em>Federated Latent Pharmacome: Decentralized Mechanism Discovery with Open LLaMA Models<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS132<\/span> <strong>David Scott Lewis, Enrique Zueco.<\/strong> <em>The Algorithmic Alchemist: Advanced Generative AI Methodologies for De Novo Drug Design<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS133<\/span> <strong>Bum Chul Kwon, Ben Shapira, Moshiko Raboh, Shreyans Sethi, Shruti Murarka, Joseph A Morrone, Jianying Hu, Parthasarathy Suryanarayanan.<\/strong> <em>STAR-VAE: Latent Variable Transformers for Scalable and Controllable Molecular Generation<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS134<\/span> <strong>David Scott Lewis, Enrique Zueco. <\/strong><em>The Acceleration of Molecular Discovery through Advanced Active Learning and Bayesian Optimization<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS135<\/span> <strong>Honggen Zhang, Xiangrui Gao, Lipeng Lai.<\/strong> <em>siDPT: siRNA Efficacy Prediction via Debiased Preference-Pair Transformer<\/em><\/p>\n\n\n\n<p class=\"has-medium-font-size\"><span style=\"text-decoration: underline;\">Poster WS136<\/span> <strong>Ivona Martinovi\u0107, Bryan Hooi, Tin Vla\u0161i\u0107, Mile Sikic.<\/strong> <em>Fr\u00e9chet Transcript Distance (FTD): Evaluating Naturalness in mRNA Design<\/em><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Poster Guidelines Posters and Presenters Poster WS111 Brandon Yee, Maximilian Rutkowski, Wilson Collins. Multi-Modal Ensemble Learning for TLR4 Binding Prediction: Addressing Data Scarcity and Leakage in Small Molecule Drug Discovery Poster WS112 Aayush Kothari, Amish Gupta, Marx Akl. A Hybrid SMILES-DeepSMILES Transformer Approach Improving Fragment Prediction in Fragment-Based Drug Discovery with DeepBERTa Poster WS113 Yian [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-153","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/aaai26.aidd.sg\/index.php\/wp-json\/wp\/v2\/pages\/153","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aaai26.aidd.sg\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aaai26.aidd.sg\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aaai26.aidd.sg\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aaai26.aidd.sg\/index.php\/wp-json\/wp\/v2\/comments?post=153"}],"version-history":[{"count":7,"href":"https:\/\/aaai26.aidd.sg\/index.php\/wp-json\/wp\/v2\/pages\/153\/revisions"}],"predecessor-version":[{"id":191,"href":"https:\/\/aaai26.aidd.sg\/index.php\/wp-json\/wp\/v2\/pages\/153\/revisions\/191"}],"wp:attachment":[{"href":"https:\/\/aaai26.aidd.sg\/index.php\/wp-json\/wp\/v2\/media?parent=153"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}