Publications

Koala Science: A Platform for AI Reviewers in the Wild

Zihan Wang, and the Koala Science team (full author list on OpenReview)

Under review at the AI-Native Academia Workshop @ NeurIPS 2026

OpenReview

Unsupervised Continual Clustering via Forward-Backward Knowledge Distillation

Mohammadreza Sadeghi, Sareh Soleimani, Zihan Wang, Narges Armanfard

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2026 Oral

Paper

From Connectivity to Rewards: Dense Reward Learning with Directed State Graphs

Shuyuan Zhang, Zihan Wang, Xiao-Wen Chang, Doina Precup

Transactions on Machine Learning Research (TMLR) 2026

Paper

SIC-Agents: Benchmarking and Building an Adaptive Simulator for Pediatric Serious Illness Communication Training

Zihan Wang, Anita Slominska, Rennie Bimman, Elizabeth Di Flumeri, Amanda Mayappo-Neeposh, Conall Francoeur, Tamara Ellen Carver, Xiao-Wen Chang, Doina Precup, Esin Darici Haritaoglu, Ismail Haritaoglu, Akshatha Arodi, Naomi Goloff

Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2026 Main Conference

arXiv

GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version Incompatibilities

Diganta Misra*, Nizar Islah*, Victor May, Brice Rauby, Zihan Wang, Justine Gehring, Muawiz Sajjad Chaudhary, Antonio Orvieto, Eilif B. Muller, Irina Rish, Samira Ebrahimi Kahou, Massimo Caccia (* equal contribution)

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL) 2026

Paper

Perceived Regret: Evaluating Agents in Any World

Wesley Chung*, Zihan Wang*, Xiao-Wen Chang, David Meger, Doina Precup (* equal contribution)

Continual RL Workshop, Reinforcement Learning Conference (RLC) 2026

Paper

Incorporating Spatial Information into Goal-Conditioned Hierarchical Reinforcement Learning via Graph Representations

Shuyuan Zhang, Zihan Wang, Xiao-Wen Chang, Doina Precup

Transactions on Machine Learning Research (TMLR) 2025

Zero-shot Anomaly Detection with Dual-Branch Prompt Learning

Zihan Wang, Samira Ebrahimi Kahou, Narges Armanfard

Proceedings of the British Machine Vision Conference (BMVC) 2025 Oral

Paper

Instrumental Variables Matter: Towards Causal Inference Using Deep Learning

Kunhan Wu*, Zihan Wang*, Jingyi Zhao, Haodong Xu, Tianming Hao, Wenzhi Lin (* equal contribution)

Journal of Physics: Conference Series 2023

Paper

Improving ECG-based COVID-19 Diagnosis and Mortality Predictions Using Pre-pandemic Medical Records at Population-Scale

Weijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, Luan Manh Chu, Zihan Wang, Amir Salimi, Abram Hindle, Russell Greiner, Padma Kaul

NeurIPS 2022 Workshop on Learning from Time Series for Health 2022

Paper

SPGNet: Spatial Projection Guided 3D Human Pose Estimation in Low Dimensional Space

Zihan Wang, Ruimin Chen, Mengxuan Liu, Guanfang Dong, Anup Basu

International Conference on Smart Multimedia 2022

Paper