The Improvement of Dropout Strategy Based on Two Evolutionary Algorithms. - Tianhao Chen; Wenchuan Jia; Yi Sun 002 (ROBIO, 2018)

Incremental Reinforcement Learning - a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods. - Tianhao Chen; Limei Cheng; Yang Liu; Wenchuan Jia; Shugen Ma (CoRR, 2019)

An Improved Finite Control Set-MPC-Based Power Sharing Control Strategy for Islanded AC Microgrids. - Tianhao Chen; Omar Abdel-Rahim; Faxiang Peng; Haoyu Wang 007 (IEEE Access, 2020)

Analyzing bug fix for automatic bug cause classification. - Zhen Ni; Bin Li 006; Xiaobing Sun 001; Tianhao Chen; Ben Tang; Xinchen Shi (J. Syst. Softw., 2020)

Novel, Flexible, and Ultrathin Pressure Feedback Sensor for Miniaturized Intraventricular Neurosurgery Robotic Tools. - Tianhao Chen; Zia Saadatnia; Jongwoo Kim; Thomas Looi; James M. Drake; Eric D. Diller; Hani E. Naguib (IEEE Trans. Ind. Electron., 2021)

An approach of method-level bug localization. - Zhen Ni; Lili Bo; Bin Li 006; Tianhao Chen; Xiaobing Sun 001; Xiaoxue Wu 001 (IET Softw., 2022)

Quantum Battery Based on Hybrid Field Charging. - Yunxiu Jiang; Tianhao Chen; Chu Xiao; Kaiyan Pan; Guangri Jin; Youbin Yu; Aixi Chen (Entropy, 2022)

Multi-Channel Hypergraph Convolution Group Recommendation with Member Information Enhancement. - Tianhao Chen; Qian Gao; Jun Fan (HPCC/DSS/SmartCity/DependSys, 2023)

Machine-Learning Approach to Automated Doubt Identification on Stack Overflow Comments to Guide Programming Learners. - Tianhao Chen; Eng Lieh Ouh; Kar Way Tan; Siaw Ling Lo (PACIS, 2023)

Curricular Subgoals for Inverse Reinforcement Learning. - Shunyu Liu 001; Yunpeng Qing; Shuqi Xu; Hongyan Wu; Jiangtao Zhang; Jingyuan Cong; Tianhao Chen; Yunfu Liu; Mingli Song (CoRR, 2023)

Use neural networks to recognize students' handwritten letters and incorrect symbols. - Jiajun Zhu; Zichuan Yang; Binjie Hong; Jiacheng Song; Jiwei Wang; Tianhao Chen; Shuilan Yang; Zixun Lan; Fei Ma (CoRR, 2023)

Carbon Emission Patterns and Carbon Balance Zoning in Urban Territorial Spaces Based on Multisource Data: A Case Study of Suzhou City, China. - Zhenlong Zhang; Xiaoping Yu; Yanzhen Hou; Tianhao Chen; Yun Lu; Honghu Sun (ISPRS Int. J. Geo Inf., 2023)

Bootstrapping OTS-Funcimg Pre-training Model (Botfip) - A Comprehensive Symbolic Regression Framework. - Tianhao Chen; Pengbo Xu; Haibiao Zheng (CoRR, 2024)

Multi-Agent Generative Adversarial Interactive Self-Imitation Learning for AUV Formation Control and Obstacle Avoidance. - Zheng Fang; Tianhao Chen; Dong Jiang; Zheng Zhang; Guangliang Li (CoRR, 2024)

A noise-tolerant, resource-saving probabilistic binary neural network implemented by the SOT-MRAM compute-in-memory system. - Yu Gu; Puyang Huang; Tianhao Chen; Chenyi Fu; Aitian Chen; Shouzhong Peng; Xixiang Zhang; Xufeng Kou (CoRR, 2024)

Unifying Sequences, Structures, and Descriptions for Any-to-Any Protein Generation with the Large Multimodal Model HelixProtX. - Zhiyuan Chen; Tianhao Chen; Chenggang Xie; Yang Xue; Xiaonan Zhang; Jingbo Zhou; Xiaomin Fang (CoRR, 2024)

Category-Theoretical and Topos-Theoretical Frameworks in Machine Learning: A Survey. - Yiyang Jia; Guohong Peng; Zheng Yang; Tianhao Chen (CoRR, 2024)

UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models. - Xin Xu; Jiaxin Zhang; Tianhao Chen; Zitong Chao; Jishan Hu; Can Yang (ICLR, 2025)

Asynchronous multimodal PINN pre-train framework based on TransVNet(MPP-TV) and its application in numerical solutions of the Cauchy problem for the Hamilton-Jacobi equation. - Tianhao Chen; Zeyu Li; Pengbo Xu; Haibiao Zheng (Comput. Math. Appl., 2025)

Botfip-LLM: An enhanced multimodal scientific computing framework leveraging knowledge distillation from large language models. - Tianhao Chen; Pengbo Xu; Haibiao Zheng (Knowl. Based Syst., 2025)

UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models. - Xin Xu; Qiyun Xu; Tong Xiao; Tianhao Chen; Yuchen Yan; Jiaxin Zhang; Shizhe Diao; Can Yang; Yang Wang 020 (CoRR, 2025)

Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving. - Xin Xu; Yan Xu; Tianhao Chen; Yuchen Yan; Chengwu Liu 001; Zaoyu Chen; Yufei Wang 005; Yichun Yin; Yasheng Wang; Lifeng Shang; Qun Liu 001 (CoRR, 2025)

Curricular Subgoals for Inverse Reinforcement Learning. - Shunyu Liu 001; Yunpeng Qing; Shuqi Xu; Hongyan Wu; Jiangtao Zhang; Jingyuan Cong; Tianhao Chen; Yun-Fu Liu; Mingli Song (IEEE Trans. Intell. Transp. Syst., 2025)

Coherent wave-particle quantum walks. - Rong Zhang; Rusheng Qi; Tianhao Chen; Ping Xu (Quantum Inf. Process., 2025)

Multi-Agent Generative Adversarial Interactive Self-Imitation Learning for AUV Formation Control and Obstacle Avoidance. - Zheng Fang; Tianhao Chen; Tian Shen; Dong Jiang; Zheng Zhang; Guangliang Li (IEEE Robotics Autom. Lett., 2025)