Yikang Chen

Ph.D. student in Artificial Intelligence, Zhejiang University

About Me

I am currently a Ph.D. student in Artificial Intelligence at Zhejiang University, supervised by Prof. Kun Kuang. I received my Bachelor degree in Software Engineering from Shandong University in 2023, and Master degree in Software Engineering from East China Normal University in 2026.

Research Interest

Keywords: Causality, Generative Models
Topics: Counterfactual Reasoning, Causal Discovery, Causal Representation Learning

My research centers on empowering deep generative models to learn causal representations and conduct reliable causal inference, achieved through simple yet effective assumptions and novel model designs, finally applying these advancements to address real-world challenges.

Publications

StablePFN: Stable Prediction with Causal-Aware Tabular Foundation Model

Guan, Z. Chen, Y. Qian, H. Han, K. Cui, P. Wu, F. Kuang, K.

KDD 2026 (Research Track, Poster)

causal discovery tabular foundation model prior-fitted network

Causal Discovery via Quantile Partial Effect

Chen, Y. Sun, X. Du, D.

ICML 2026 (Poster)

causal discovery functional causal model quantile partial effect

Exogenous Isomorphism for Counterfactual Identifiability

Chen, Y. Du, D.

ICML 2025 (Main Track, Spotlight Poster)

causal inference counterfactual identifiablity normalizing flow

ERCI: An Explainable Experience Replay Approach with Causal Inference for Deep Reinforcement Learning

Wang, J. Du, D. Tian, L. Chen, Y. Li, Y. Li, Y.

AAAI 2025 (AI Alignment Track, Oral)

causal inference reinforcement learning experience replay

Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation

Chen, Y. Du, D. Tian, L.

NeurIPS 2024 (Main Track, Poster)

causal inference counterfactual reasoning importance sampling