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2020 – today
- 2025
[j6]Shicheng Liu, Xiangyun Meng, Qilong Zhai:
Convergence analysis of a weak Galerkin finite element method on a Shishkin mesh for a singularly perturbed fourth-order problem in 2D. J. Comput. Appl. Math. 457: 116324 (2025)- 2024
- [j5]Shanshan Gu, Fuchang Huo, Shicheng Liu:
A stabilizer-free weak Galerkin mixed finite element method for the biharmonic equation. Comput. Math. Appl. 176: 109-121 (2024) - [c11]Heidi C. Zhang, Sina J. Semnani, Farhad Ghassemi, Jialiang Xu, Shicheng Liu, Monica S. Lam:
SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing. ACL (Findings) 2024: 1663-1678 - [c10]Shicheng Liu, Sina J. Semnani, Harold Triedman, Jialiang Xu, Isaac Dan Zhao, Monica S. Lam:
SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions. EMNLP (Findings) 2024: 15977-16001 - [c9]Shicheng Liu, Minghui Zhu:
Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis. ICLR 2024 - [c8]Shicheng Liu, Jialiang Xu, Wesley Tjangnaka, Sina J. Semnani, Chen Jie Yu, Monica Lam:
SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models. NAACL-HLT (Findings) 2024: 4535-4555 - [i8]Shicheng Liu, Xiangyun Meng, Qilong Zhai:
Convergence analysis of a weak Galerkin finite element method on a Bakhvalov-type mesh for a singularly perturbed convection-diffusion equation in 2D. CoRR abs/2405.15136 (2024) - [i7]Heidi C. Zhang, Sina J. Semnani, Farhad Ghassemi, Jialiang Xu, Shicheng Liu, Monica S. Lam:
SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing. CoRR abs/2406.00562 (2024) - [i6]Harshit Joshi
, Shicheng Liu, James Chen, Robert Weigle, Monica S. Lam:
LLM-Based Open-Domain Integrated Task and Knowledge Assistants with Programmable Policies. CoRR abs/2407.05674 (2024) - [i5]Shicheng Liu, Sina J. Semnani, Harold Triedman, Jialiang Xu, Isaac Dan Zhao, Monica S. Lam:
SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions. CoRR abs/2407.11417 (2024) - [i4]Guiliang Liu, Sheng Xu, Shicheng Liu, Ashish Gaurav, Sriram Ganapathi Subramanian, Pascal Poupart:
A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges. CoRR abs/2409.07569 (2024) - [i3]Shicheng Liu, Minghui Zhu:
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally From An Ongoing Trajectory. CoRR abs/2410.15612 (2024) - 2023
- [c7]Silei Xu, Shicheng Liu, Theo Culhane, Elizaveta Pertseva, Meng-Hsi Wu, Sina J. Semnani, Monica S. Lam:
Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata. EMNLP 2023: 5778-5791 - [c6]Shicheng Liu, Minghui Zhu:
Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations. NeurIPS 2023 - [i2]Shicheng Liu, Xiangyun Meng, Qilong Zhai:
Convergence analysis of a weak Galerkin finite element method on a Shishkin mesh for a singularly perturbed fourth-order problem in 2D. CoRR abs/2306.15867 (2023) - [i1]Shicheng Liu, Jialiang Xu, Wesley Tjangnaka, Sina J. Semnani, Chen Jie Yu, Gui Dávid, Monica S. Lam:
SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models. CoRR abs/2311.09818 (2023) - 2022
- [j4]Xiaowei Wu, Shicheng Liu, Guanying Liang:
Detecting clusters of transcription factors based on a nonhomogeneous poisson process model. BMC Bioinform. 23(1): 535 (2022) - [c5]Chengcheng Wan, Shicheng Liu, Sophie Xie, Yifan Liu, Henry Hoffmann, Michael Maire, Shan Lu:
Automated Testing of Software that Uses Machine Learning APIs. ICSE 2022: 212-224 - [c4]Xiuping Peng, Mingshuo Shen, Shicheng Liu:
Generalized Construction of Z-Complementary Pairs with Fixed Zero Correlation Zone Ratios. IWSDA 2022: 1-5 - [c3]Shicheng Liu, Minghui Zhu:
Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems. NeurIPS 2022 - 2021
- [j3]Wang Chen, Gang Zhang, Shicheng Liu, Jiquan Yang:
Synthesis of Multi-Port Filtering Power Divider for Mixed Topology Using Matrix Optimization. IEEE Trans. Circuits Syst. II Express Briefs 68(1): 176-180 (2021) - [c2]Chengcheng Wan, Shicheng Liu, Henry Hoffmann, Michael Maire, Shan Lu:
Are Machine Learning Cloud APIs Used Correctly? ICSE 2021: 125-137 - [c1]Chengcheng Wan, Shicheng Liu, Henry Hoffmann, Michael Maire, Shan Lu:
A Replication of Are Machine Learning Cloud APIs Used Correctly. ICSE (Companion Volume) 2021: 158-159 - 2020
- [j2]Gang Zhang, Shicheng Liu, Wang Chen, Zhuowei Zhang, Jiquan Yang:
Design Method for Compact Multifunctional Reconfigurable Filtering Power Divider on a New Tunable Three-Port Multi-Mode Topology. IEEE Trans. Circuits Syst. 67-I(12): 4580-4592 (2020)
2010 – 2019
- 2018
- [j1]Hao Dong, Shicheng Liu, Liming Yang, Jiangbo Peng, Keming Cheng:
Optical Fiber Displacement Sensor Based on Microwave Photonics Interferometry. Sensors 18(11): 3702 (2018)
Coauthor Index
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