Optical Fiber Displacement Sensor Based on Microwave Photonics Interferometry. - Hao Dong 007; Shicheng Liu; Liming Yang; Jiangbo Peng; Keming Cheng (Sensors, 2018)

Design Method for Compact Multifunctional Reconfigurable Filtering Power Divider on a New Tunable Three-Port Multi-Mode Topology. - Gang Zhang 004; Shicheng Liu; Wang Chen; Zhuowei Zhang; Jiquan Yang (IEEE Trans. Circuits Syst., 2020)

Are Machine Learning Cloud APIs Used Correctly? - Chengcheng Wan 001; Shicheng Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (ICSE, 2021)

A Replication of Are Machine Learning Cloud APIs Used Correctly. - Chengcheng Wan 001; Shicheng Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (ICSE (Companion Volume), 2021)

Synthesis of Multi-Port Filtering Power Divider for Mixed Topology Using Matrix Optimization. - Wang Chen; Gang Zhang 004; Shicheng Liu; Jiquan Yang (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Automated Testing of Software that Uses Machine Learning APIs. - Chengcheng Wan 001; Shicheng Liu; Sophie Xie; Yifan Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (ICSE, 2022)

Generalized Construction of Z-Complementary Pairs with Fixed Zero Correlation Zone Ratios. - Xiuping Peng; Mingshuo Shen; Shicheng Liu (IWSDA, 2022)

Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems. - Shicheng Liu; Minghui Zhu (NeurIPS, 2022)

Detecting clusters of transcription factors based on a nonhomogeneous poisson process model. - Xiaowei Wu; Shicheng Liu; Guanying Liang (BMC Bioinform., 2022)

Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata. - Silei Xu; Shicheng Liu; Theo Culhane; Elizaveta Pertseva; Meng-Hsi Wu; Sina J. Semnani; Monica S. Lam (EMNLP, 2023)

Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations. - Shicheng Liu; Minghui Zhu (NeurIPS, 2023)

SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models. - Shicheng Liu; Jialiang Xu; Wesley Tjangnaka; Sina J. Semnani; Chen Jie Yu; Gui Dávid; Monica S. Lam (CoRR, 2023)

SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing. - Heidi C. Zhang; Sina J. Semnani; Farhad Ghassemi; Jialiang Xu; Shicheng Liu; Monica S. Lam (ACL (Findings), 2024)

SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions. - Shicheng Liu; Sina J. Semnani; Harold Triedman; Jialiang Xu; Isaac Dan Zhao; Monica S. Lam (EMNLP (Findings), 2024)

Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis. - Shicheng Liu; Minghui Zhu (ICLR, 2024)

SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models. - Shicheng Liu; Jialiang Xu; Wesley Tjangnaka; Sina J. Semnani; Chen Jie Yu; Monica Lam 001 (NAACL-HLT (Findings), 2024)

In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before an Ongoing Trajectory Terminates. - Shicheng Liu; Minghui Zhu (NeurIPS, 2024)

A stabilizer-free weak Galerkin mixed finite element method for the biharmonic equation. - Shanshan Gu; Fuchang Huo; Shicheng Liu (Comput. Math. Appl., 2024)

Convergence analysis of a weak Galerkin finite element method on a Bakhvalov-type mesh for a singularly perturbed convection-diffusion equation in 2D. - Shicheng Liu; Xiangyun Meng; Qilong Zhai (CoRR, 2024)

LLM-Based Open-Domain Integrated Task and Knowledge Assistants with Programmable Policies. - Harshit Joshi; Shicheng Liu; James Chen; Robert Weigle; Monica S. Lam (CoRR, 2024)

In-Trajectory Inverse Reinforcement Learning: Learn Incrementally From An Ongoing Trajectory. - Shicheng Liu; Minghui Zhu (CoRR, 2024)

Artifact for "Keeper: Automated Testing and Fixing of Machine Learning Software". - Chengcheng Wan 001; Shicheng Liu; Sophie Xie; Yuhan Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (Zenodo, 2024)

Artifact for "Keeper: Automated Testing and Fixing of Machine Learning Software". - Chengcheng Wan 001; Shicheng Liu; Sophie Xie; Yuhan Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (Zenodo, 2024)

Keeper: Automated Testing and Fixing of Machine Learning Software. - Chengcheng Wan 001; Shicheng Liu; Sophie Xie; Yuhan Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (ACM Trans. Softw. Eng. Methodol., 2024)

Controllable and Reliable Knowledge-Intensive Task-Oriented Conversational Agents with Declarative Genie Worksheets. - Harshit Joshi; Shicheng Liu; James Chen; Larsen Weigle; Monica S. Lam (ACL (1), 2025)

UTILITY: Utilizing Explainable Reinforcement Learning to Improve Reinforcement Learning. - Shicheng Liu; Minghui Zhu (ICLR, 2025)

Fusion Features-Based Entity Recognition Method for Safety Knowledge of Non-Coal Open-Pit Mine. - Ziji Ma; Rui Zhao; Jianhua Huang; Shicheng Liu; Feilong Wang; Zhikang Shuai (IEEE Access, 2025)

Convergence analysis of a weak Galerkin finite element method on a Shishkin mesh for a singularly perturbed fourth-order problem in 2D. - Shicheng Liu; Xiangyun Meng; Qilong Zhai (J. Comput. Appl. Math., 2025)

A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges. - Guiliang Liu; Sheng Xu; Shicheng Liu; Ashish Gaurav; Sriram Ganapathi Subramanian; Pascal Poupart (Trans. Mach. Learn. Res., 2025)

Artifact for "Keeper: Automated Testing and Fixing of Machine Learning Software". - Chengcheng Wan 001; Shicheng Liu; Sophie Xie; Yuhan Liu; Henry Hoffmann; Michael Maire; Shan Lu 001 (Zenodo, 2025)

Prompting Large Language Models for Training-Free Non-Intrusive Load Monitoring. - Junyu Xue; Xudong Wang; Xiaoling He; Shicheng Liu; Yi Wang 004; Guoming Tang (CoRR, 2025)