Shicheng Liu - RankMe

39 papers A* 8Journal 24Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Keeper: Automated Testing and Fixing of Machine Learning Software - RCR Report. ACM Trans. Softw. Eng. Methodol. Chengcheng Wan, Shicheng Liu, Sophie Xie, Yuhan Liu, Michael Maire, Henry Hoffmann, Shan Lu
2026	J	`jnl`	Steering to Say No: Configurable Refusal via Activation Steering in Vision Language Models. CoRR Jiaxi Yang, Shicheng Liu, Yuchen Yang, Dongwon Lee
2025	J	`jnl`	A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges. Trans. Mach. Learn. Res. Guiliang Liu, Sheng Xu, Shicheng Liu, Ashish Gaurav, Sriram Ganapathi Subramanian, Pascal Poupart
2025	J	`jnl`	A posteriori error estimation for weak Galerkin method of the fourth-order singularly perturbed problem. CoRR Shicheng Liu, Qilong Zhai
2025	—	`conf`	Controllable and Reliable Knowledge-Intensive Task-Oriented Conversational Agents with Declarative Genie Worksheets. ACL (1) Harshit Joshi, Shicheng Liu, James Chen, Larsen Weigle, Monica S. Lam
2025	J	`jnl`	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. Shicheng Liu, Xiangyun Meng, Qilong Zhai
2025	J	`jnl`	Explainable reinforcement learning from human feedback to improve alignment. CoRR Shicheng Liu, Siyuan Xu, Wenjie Qiu, Hangfan Zhang, Minghui Zhu
2025	J	`jnl`	Fusion Features-Based Entity Recognition Method for Safety Knowledge of Non-Coal Open-Pit Mine. IEEE Access Ziji Ma, Rui Zhao, Jianhua Huang, Shicheng Liu, Feilong Wang, Zhikang Shuai
2025	—	`conf`	Prompting Large Language Models for Training-Free Non-Intrusive Load Monitoring. BuildSys Junyu Xue, Xudong Wang, Xiaoling He, Shicheng Liu, Yi Wang, Guoming Tang
2025	J	`jnl`	Prompting Large Language Models for Training-Free Non-Intrusive Load Monitoring. CoRR Junyu Xue, Xudong Wang, Xiaoling He, Shicheng Liu, Yi Wang, Guoming Tang
2025	J	`jnl`	SCRIBES: Web-Scale Script-Based Semi-Structured Data Extraction with Reinforcement Learning. CoRR Shicheng Liu, Kai Sun, Lisheng Fu, Xilun Chen, Xinyuan Zhang, Zhaojiang Lin, Rulin Shao, Yue Liu, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
2025	J	`jnl`	The Path of Self-Evolving Large Language Models: Achieving Data-Efficient Learning via Intrinsic Feedback. CoRR Hangfan Zhang, Siyuan Xu, Zhimeng Guo, Huaisheng Zhu, Shicheng Liu, Xinrun Wang, Qiaosheng Zhang, Yang Chen, Peng Ye, Lei Bai, Shuyue Hu
2025	A*	`conf`	UTILITY: Utilizing Explainable Reinforcement Learning to Improve Reinforcement Learning. ICLR Shicheng Liu, Minghui Zhu
2024	J	`jnl`	A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges. CoRR Guiliang Liu, Sheng Xu, Shicheng Liu, Ashish Gaurav, Sriram Ganapathi Subramanian, Pascal Poupart
2024	J	`jnl`	A stabilizer-free weak Galerkin mixed finite element method for the biharmonic equation. Comput. Math. Appl. Shanshan Gu, Fuchang Huo, Shicheng Liu
2024	J	`jnl`	Convergence analysis of a weak Galerkin finite element method on a Bakhvalov-type mesh for a singularly perturbed convection-diffusion equation in 2D. CoRR Shicheng Liu, Xiangyun Meng, Qilong Zhai
2024	A*	`conf`	In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before an Ongoing Trajectory Terminates. NeurIPS Shicheng Liu, Minghui Zhu
2024	J	`jnl`	In-Trajectory Inverse Reinforcement Learning: Learn Incrementally From An Ongoing Trajectory. CoRR Shicheng Liu, Minghui Zhu
2024	J	`jnl`	Keeper: Automated Testing and Fixing of Machine Learning Software. ACM Trans. Softw. Eng. Methodol. Chengcheng Wan, Shicheng Liu, Sophie Xie, Yuhan Liu, Henry Hoffmann, Michael Maire, Shan Lu
2024	J	`jnl`	LLM-Based Open-Domain Integrated Task and Knowledge Assistants with Programmable Policies. CoRR Harshit Joshi, Shicheng Liu, James Chen, Robert Weigle, Monica S. Lam
2024	A*	`conf`	Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis. ICLR Shicheng Liu, Minghui Zhu
2024	—	`conf`	SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing. ACL (Findings) Heidi C. Zhang, Sina J. Semnani, Farhad Ghassemi, Jialiang Xu, Shicheng Liu, Monica S. Lam
2024	J	`jnl`	SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing. CoRR Heidi C. Zhang, Sina J. Semnani, Farhad Ghassemi, Jialiang Xu, Shicheng Liu, Monica S. Lam
2024	—	`conf`	SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions. EMNLP (Findings) Shicheng Liu, Sina J. Semnani, Harold Triedman, Jialiang Xu, Isaac Dan Zhao, Monica S. Lam
2024	J	`jnl`	SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions. CoRR Shicheng Liu, Sina J. Semnani, Harold Triedman, Jialiang Xu, Isaac Dan Zhao, Monica S. Lam
2024	—	`conf`	SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models. NAACL-HLT (Findings) Shicheng Liu, Jialiang Xu, Wesley Tjangnaka, Sina J. Semnani, Chen Jie Yu, Monica Lam
2023	J	`jnl`	Convergence analysis of a weak Galerkin finite element method on a Shishkin mesh for a singularly perturbed fourth-order problem in 2D. CoRR Shicheng Liu, Xiangyun Meng, Qilong Zhai
2023	A*	`conf`	Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata. EMNLP Silei Xu, Shicheng Liu, Theo Culhane, Elizaveta Pertseva, Meng-Hsi Wu, Sina J. Semnani, Monica S. Lam
2023	A*	`conf`	Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations. NeurIPS Shicheng Liu, Minghui Zhu
2023	J	`jnl`	SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models. CoRR Shicheng Liu, Jialiang Xu, Wesley Tjangnaka, Sina J. Semnani, Chen Jie Yu, Gui Dávid, Monica S. Lam
2022	A*	`conf`	Automated Testing of Software that Uses Machine Learning APIs. ICSE Chengcheng Wan, Shicheng Liu, Sophie Xie, Yifan Liu, Henry Hoffmann, Michael Maire, Shan Lu
2022	J	`jnl`	Detecting clusters of transcription factors based on a nonhomogeneous poisson process model. BMC Bioinform. Xiaowei Wu, Shicheng Liu, Guanying Liang
2022	A*	`conf`	Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems. NeurIPS Shicheng Liu, Minghui Zhu
2022	—	`conf`	Generalized Construction of Z-Complementary Pairs with Fixed Zero Correlation Zone Ratios. IWSDA Xiuping Peng, Mingshuo Shen, Shicheng Liu
2021	—	`conf`	A Replication of Are Machine Learning Cloud APIs Used Correctly. ICSE (Companion Volume) Chengcheng Wan, Shicheng Liu, Henry Hoffmann, Michael Maire, Shan Lu
2021	A*	`conf`	Are Machine Learning Cloud APIs Used Correctly? ICSE Chengcheng Wan, Shicheng Liu, Henry Hoffmann, Michael Maire, Shan Lu
2021	J	`jnl`	Synthesis of Multi-Port Filtering Power Divider for Mixed Topology Using Matrix Optimization. IEEE Trans. Circuits Syst. II Express Briefs Wang Chen, Gang Zhang, Shicheng Liu, Jiquan Yang
2020	J	`jnl`	Design Method for Compact Multifunctional Reconfigurable Filtering Power Divider on a New Tunable Three-Port Multi-Mode Topology. IEEE Trans. Circuits Syst. Gang Zhang, Shicheng Liu, Wang Chen, Zhuowei Zhang, Jiquan Yang
2018	J	`jnl`	Optical Fiber Displacement Sensor Based on Microwave Photonics Interferometry. Sensors Hao Dong, Shicheng Liu, Liming Yang, Jiangbo Peng, Keming Cheng