Gnu-RL: A Precocial Reinforcement Learning Solution for Building HVAC Control Using a Differentiable MPC Policy. - Bingqing Chen; Zicheng Cai; Mario Bergés (BuildSys, 2019)

Physically Inspired Data Compression and Management for Industrial Data Analytics. - Ramin Sabbagh; Zicheng Cai; Alec Stothert; Dragan Djurdjanovic (Frontiers Comput. Sci., 2020)

Sentence-Level Event Detection Without Triggers via Prompt Learning and Machine Reading Comprehension. - Tongtao Ling; Lei Chen 044; Huangxu Sheng; Zicheng Cai; Hai-Lin Liu 001 (ADMA (4), 2023)

BHE-DARTS: Bilevel Optimization Based on Hypergradient Estimation for Differentiable Architecture Search. - Zicheng Cai; Lei Chen; Hai-Lin Liu (ICASSP, 2023)

EPC-DARTS: Efficient partial channel connection for differentiable architecture search. - Zicheng Cai; Lei Chen 044; Hai-Lin Liu 001 (Neural Networks, 2023)

EST-NAS: An evolutionary strategy with gradient descent for neural architecture search. - Zicheng Cai; Lei Chen 044; Shaoda Zeng; Yutao Lai; Hai-Lin Liu 001 (Appl. Soft Comput., 2023)

EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration. - Zicheng Cai; Lei Chen; Peng Liu; Tongtao Ling; Yutao Lai (AAAI, 2024)

STO-DARTS: Stochastic Bilevel Optimization for Differentiable Neural Architecture Search. - Zicheng Cai; Lei Chen 044; Tongtao Ling; Hai-Lin Liu 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

SEKI: Self-Evolution and Knowledge Inspiration based Neural Architecture Search via Large Language Models. - Zicheng Cai; Yaohua Tang; Yutao Lai; Hua Wang; Zhi Chen; Hao Chen (CoRR, 2025)