National instrument-based experimental validation of a nonlinear real-time induction motor model in an EV simulation system. - Jianhao Shen; Gang Xu; Ying Xu; Li Qiu 003; Guofa Li (ICIT, 2017)

Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. - Luchen Liu; Jianhao Shen; Ming Zhang 004; Zichang Wang; Jian Tang 005 (AAAI, 2018)

Nighttime Driving Safety Improvement via Image Enhancement for Driver Face Detection. - Jianhao Shen; Guofa Li; Weiquan Yan; Wenjin Tao; Gang Xu; Dongfeng Diao; Paul Green (IEEE Access, 2018)

Learning to Answer Ambiguous Questions with Knowledge Graph. - Yikai Zhu; Jianhao Shen; Ming Zhang 004 (CoRR, 2019)

A Lane Detection Method Based on a Ridge Detector and Regional G-RANSAC. - Zefeng Lu; Ying Xu; Xin Shan; Licai Liu; Xingzheng Wang; Jianhao Shen (Sensors, 2019)

Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases. - Luchen Liu; Zequn Liu; Haoxian Wu; Zichang Wang; Jianhao Shen; Yiping Song; Ming Zhang 004 (AMIA, 2020)

Generate & Rank: A Multi-task Framework for Math Word Problems. - Jianhao Shen; Yichun Yin; Lin Li; Lifeng Shang; Xin Jiang 002; Ming Zhang 004; Qun Liu 001 (EMNLP (Findings), 2021)

Joint Language Semantic and Structure Embedding for Knowledge Graph Completion. - Jianhao Shen; Chenguang Wang 001; Linyuan Gong; Dawn Song (COLING, 2022)

PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. - Jianhao Shen; Chenguang Wang 001; Ye Yuan 016; Jiawei Han 001; Heng Ji 001; Koushik Sen; Ming Zhang 004; Dawn Song (EMNLP (Findings), 2022)

HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors. - Yifan Wang 014; Jianhao Shen; Yiping Song; Sheng Wang 012; Ming Zhang 004 (IJCNN, 2022)

KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification. - Wei Ju 001; Junwei Yang; Meng Qu; Weiping Song; Jianhao Shen; Ming Zhang 004 (WSDM, 2022)

DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function. - Haiming Wang; Ye Yuan; Zhengying Liu; Jianhao Shen; Yichun Yin; Jing Xiong; Enze Xie; Han Shi; Yujun Li; Lin Li; Jian Yin 001; Zhenguo Li; et al. (ACL (1), 2023)

ComSearch: Equation Searching with Combinatorial Strategy for Solving Math Word Problems with Weak Supervision. - Qianying Liu; Wenyu Guan; Jianhao Shen; Fei Cheng 002; Sadao Kurohashi (EACL, 2023)

TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models. - Jing Xiong; Jianhao Shen; Ye Yuan 016; Haiming Wang; Yichun Yin; Zhengying Liu; Lin Li; Zhijiang Guo; Qingxing Cao; Yinya Huang; Chuanyang Zheng; Xiaodan Liang; et al. (EMNLP, 2023)

A Comprehensive Survey on Deep Graph Representation Learning. - Wei Ju 001; Zheng Fang 007; Yiyang Gu; Zequn Liu; Qingqing Long; Ziyue Qiao; Yifang Qin; Jianhao Shen; Fang Sun; Zhiping Xiao 001; Junwei Yang; Jingyang Yuan; et al. (CoRR, 2023)

FIMO: A Challenge Formal Dataset for Automated Theorem Proving. - Chengwu Liu 001; Jianhao Shen; Huajian Xin; Zhengying Liu; Ye Yuan 016; Haiming Wang; Wei Ju 001; Chuanyang Zheng; Yichun Yin; Lin Li; Ming Zhang 004; Qun Liu 001 (CoRR, 2023)

Induction Motor Stator Winding Inter-Tern Short Circuit Fault Detection Based on Start-Up Current Envelope Energy. - Liting Chen; Jianhao Shen; Gang Xu; Cheng Chi; Qiaohui Feng; Yang Zhou; Yuanzhi Deng; Huajie Wen (Sensors, 2023)

Measuring Vision-Language STEM Skills of Neural Models. - Jianhao Shen; Ye Yuan 016; Srbuhi Mirzoyan; Ming Zhang 004; Chenguang Wang 001 (ICLR, 2024)

Measuring Social Norms of Large Language Models. - Ye Yuan 016; Kexin Tang; Jianhao Shen; Ming Zhang 004; Chenguang Wang 001 (NAACL-HLT (Findings), 2024)

A Comprehensive Survey on Deep Graph Representation Learning. - Wei Ju 001; Zheng Fang 007; Yiyang Gu; Zequn Liu; Qingqing Long; Ziyue Qiao; Yifang Qin; Jianhao Shen; Fang Sun; Zhiping Xiao 001; Junwei Yang; Jingyang Yuan; et al. (Neural Networks, 2024)

Lyra: Orchestrating Dual Correction in Automated Theorem Proving. - Chuanyang Zheng; Haiming Wang; Enze Xie; Zhengying Liu; Jiankai Sun; Huajian Xin; Jianhao Shen; Zhenguo Li; Yu Li 006 (Trans. Mach. Learn. Res., 2024)

Dense frustum-aware fusion for 3D object detection in perception systems. - Yuanzhi Deng; Jianhao Shen; Huajie Wen; Cheng Chi; Yang Zhou; Gang Xu (Expert Syst. Appl., 2024)

Cluster-guided Contrastive Class-imbalanced Graph Classification. - Wei Ju 001; Zhengyang Mao; Siyu Yi; Yifang Qin; Yiyang Gu; Zhiping Xiao 001; Jianhao Shen; Ziyue Qiao; Ming Zhang 004 (AAAI, 2025)

Human-Like Behavior Decision Making in Autonomous Driving Based on Deep Reinforcement Learning. - Ziling Chen; Cheng Chi; Jianhao Shen; Huajie Wen; Gang Xu (ICCAE, 2025)

Depth Completion Bird's-Eye View for 3D Object Detection. - Huajie Wen; Gang Xu; Cheng Chi; Lin Lin; Jianhao Shen (ICCAE, 2025)

AGSPN: Efficient attention-gated spatial propagation network for depth completion. - Huajie Wen; Jianhao Shen; Cheng Chi; Lin Lin; Qiaohui Feng; Gang Xu (Expert Syst. Appl., 2025)

Single image dehazing via fine-scale perception network. - Huajie Wen; Jianhao Shen; Cheng Chi; Lin Lin; Yuanzhi Deng; Liting Chen; Qiaohui Feng; Gang Xu (Neurocomputing, 2025)