“Generative AI and Entrepreneurship: A Spatial Synthetic Difference-in-Differences Approach.”
Authors: Junhui Cai, Yao Li, Gu Xian, Linda H. Zhao, Wu Zhu.
Paper and Abstract Awards
STAI-X 2026 • Harvard University
STAI-X is honored to recognize the following outstanding papers and abstracts.
Authors will be eligible for reimbursing costs to attend STAIX, up to determined limits.
Moreover, Paper Awards and Stellar Abstract Awards will be eligible for oral presentation at the conference.
Congratulations to all authors!
Paper Awards
“Membership Inference via Pairwise Likelihood Ratios.”
Authors: Shengjie Niu, Zebin Yun, Yeheng Ge, Jian Huang.
“CrossHONA: Cross-species HOmologous and Non-homologous gene-aware framework for transcriptomics integration and Annotation.”
Authors: Ruohan Wang, Yu Zhu, Zixiao Gao, Ying Ma.
“A Deep Generative Framework for Right-Censored Survival Data with Distribution-Matching Regularization.”
Authors: Yanran Li, Zexi Cai.
“Wahkon: A Statistically Principled Deep RKHS Superposition Network.”
Authors: Yongkai Chen, Wenxuan Zhong, Ping Ma.
“Variance-aware Reward Modeling with Anchor Guidance.”
Authors: Shuxing Fang, Ruijian Han, Liangyu Zhang, Fan Zhou.
“Density-Informed Pseudo-Counts for Calibrated Evidential Deep Learning.”
Authors: Pietro Carlotti, Nevena Gligić, Arya Farahi.
“STAVAT: Stratified Anytime-Valid Atom Sampling for LLM Tier Placement.”
Authors: Patrick Vossler, Fan Xia, Jean Feng.
“AI4BayesCode: From Natural Language Descriptions to Validated Modular Stateful Bayesian Samplers.”
Authors: Jungang Zou, Alex Ziyu Jiang, Qixuan Chen.
Paper Honorable Mentions
“Bridging Data Gaps in Oncology: Integrating Large Language Models and Recommendation Systems for Evidence Synthesis.”
Authors: Tengjie Tang, Angkai Li, Xuanyu Bai, Xingye Tan, Qingli Ji, Michael Ulis, Lu Si, Le Bao.
“NeuroMAS: Multi-Agent Systems as Neural Networks with Joint Reinforcement Learning.”
Authors: Haoran Lu, Luyang Fang, Wenxuan Zhong, Ping Ma.
“Learning Perturbations to Extrapolate Your LLM.”
Authors: Zetai Cen, Chenfei Gu, Jin Zhu, Ting Li, Yunxiao Chen, Chengchun Shi.
“VADR: Variance Adjusted Distribution Regression.”
Authors: Soumyabrata Bose.
“Black-Box Knowledge Transfer across Distinct Feature Sets.”
Authors: Oh-Ran Kwon, Daeyoung Ham.
“Bridging Probabilistic LLMs and Deterministic Statistical Validation: The PROVE Multi-Agent Framework for Clinical Trial Reporting”
Authors: Zhaohua Lu, Cheng Zheng, Yuanyuan Han.
Stellar Abstract Awards
“Deciphering Small Sequence Differences in T Cell Receptor-Antigen Pairing.”
Authors: Yi Han, Tao Wang.
“Vertical Consensus Inference for High-Dimensional Random Partition.”
Authors: Khai Nguyen, Yang Ni, Peter Mueller.
“SPID: Distilled Protein Backbone Generation.”
Authors: Liyang Xie, Haoran Zhang, Zhendong Wang, Wesley Tansey, Mingyuan Zhou.
“Distributional Evaluation of Generative Models via Relative Density Ratio.”
Authors: Yuliang Xu, Yun Wei, Li Ma.
“Adaptive auditing of AI systems with anytime-valid guarantees.”
Authors: Siyu Zhou, Patrick Vossler, Venkatesh Sivaraman, Yifan Mai, Jean Feng.
“DML-BM: Double Machine Learning for Block-wise Missing Data with Applications in Alzheimer’s Disease Progression and Cognitive Functions.”
Authors: Borui Tang, Yue Yang, Ting Li, Tengfei Li, Hongtu Zhu.
“Precision Physical Activity Prescription via Reinforcement Learning for Functional Actions.”
Authors: Gefei Lin, Rui Miao, Jennifer Sacheck, Xiaoke Zhang.
“Incorporating LLM Embeddings for Variation Across the Human Genome.”
Authors: Hongqian Niu, Xihao Li, Didong Li.
“Strategic Feature Selection and Regularization.”
Authors: Jivat Neet Kaur, Pratik Patil, Divya M Shanmugam, Emma Pierson, Michael I. Jordan, Nika Haghtalab, Meena Jagadeesan, Ahmed Alaa, Serena Lutong Wang.