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2020 – today
- 2025
[j7]Huajie Wen
, Jianhao Shen, Cheng Chi, Lin Lin, Qiaohui Feng, Gang Xu:
AGSPN: Efficient attention-gated spatial propagation network for depth completion. Expert Syst. Appl. 264: 125939 (2025)- 2024
- [j6]Yuanzhi Deng, Jianhao Shen, Huajie Wen, Cheng Chi, Yang Zhou, Gang Xu:
Dense frustum-aware fusion for 3D object detection in perception systems. Expert Syst. Appl. 238(Part E): 122061 (2024) - [j5]Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang:
A Comprehensive Survey on Deep Graph Representation Learning. Neural Networks 173: 106207 (2024) - [j4]Chuanyang Zheng, Haiming Wang, Enze Xie, Zhengying Liu, Jiankai Sun, Huajian Xin, Jianhao Shen, Zhenguo Li, Yu Li:
Lyra: Orchestrating Dual Correction in Automated Theorem Proving. Trans. Mach. Learn. Res. 2024 (2024) - [c13]Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan, Ming Zhang, Chenguang Wang:
Measuring Vision-Language STEM Skills of Neural Models. ICLR 2024 - [c12]Ye Yuan, Kexin Tang, Jianhao Shen, Ming Zhang, Chenguang Wang:
Measuring Social Norms of Large Language Models. NAACL-HLT (Findings) 2024: 650-699 - [i14]Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan, Ming Zhang, Chenguang Wang:
Measuring Vision-Language STEM Skills of Neural Models. CoRR abs/2402.17205 (2024) - [i13]Ye Yuan, Kexin Tang, Jianhao Shen, Ming Zhang, Chenguang Wang:
Measuring Social Norms of Large Language Models. CoRR abs/2404.02491 (2024) - 2023
- [j3]Liting Chen, Jianhao Shen, Gang Xu, Cheng Chi, Qiaohui Feng, Yang Zhou, Yuanzhi Deng, Huajie Wen:
Induction Motor Stator Winding Inter-Tern Short Circuit Fault Detection Based on Start-Up Current Envelope Energy. Sensors 23(20): 8581 (2023) - [c11]Haiming Wang, Ye Yuan, Zhengying Liu, Jianhao Shen, Yichun Yin, Jing Xiong, Enze Xie, Han Shi, Yujun Li, Lin Li, Jian Yin, Zhenguo Li, Xiaodan Liang:
DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function. ACL (1) 2023: 12632-12646 - [c10]Qianying Liu, Wenyu Guan, Jianhao Shen, Fei Cheng, Sadao Kurohashi:
ComSearch: Equation Searching with Combinatorial Strategy for Solving Math Word Problems with Weak Supervision. EACL 2023: 2541-2554 - [c9]Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu:
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models. EMNLP 2023: 11594-11632 - [i12]Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Xiao Luo, Ming Zhang:
A Comprehensive Survey on Deep Graph Representation Learning. CoRR abs/2304.05055 (2023) - [i11]Chengwu Liu, Jianhao Shen, Huajian Xin, Zhengying Liu, Ye Yuan, Haiming Wang, Wei Ju, Chuanyang Zheng, Yichun Yin, Lin Li, Ming Zhang, Qun Liu:
FIMO: A Challenge Formal Dataset for Automated Theorem Proving. CoRR abs/2309.04295 (2023) - [i10]Chuanyang Zheng, Haiming Wang, Enze Xie, Zhengying Liu, Jiankai Sun, Huajian Xin, Jianhao Shen, Zhenguo Li, Yu Li:
Lyra: Orchestrating Dual Correction in Automated Theorem Proving. CoRR abs/2309.15806 (2023) - [i9]Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu:
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models. CoRR abs/2310.10180 (2023) - 2022
- [c8]Jianhao Shen, Chenguang Wang, Linyuan Gong, Dawn Song:
Joint Language Semantic and Structure Embedding for Knowledge Graph Completion. COLING 2022: 1965-1978 - [c7]Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song:
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. EMNLP (Findings) 2022: 3833-3847 - [c6]Yifan Wang, Jianhao Shen, Yiping Song, Sheng Wang, Ming Zhang:
HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors. IJCNN 2022: 1-8 - [c5]Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang:
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification. WSDM 2022: 421-429 - [i8]Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang:
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification. CoRR abs/2205.10550 (2022) - [i7]Jianhao Shen, Chenguang Wang, Linyuan Gong, Dawn Song:
Joint Language Semantic and Structure Embedding for Knowledge Graph Completion. CoRR abs/2209.08721 (2022) - [i6]Qianying Liu, Wenyu Guan, Jianhao Shen, Fei Cheng, Sadao Kurohashi:
ComSearch: Equation Searching with Combinatorial Strategy for Solving Math Word Problems with Weak Supervision. CoRR abs/2210.07017 (2022) - [i5]Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song:
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. CoRR abs/2210.13715 (2022) - 2021
- [c4]Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu:
Generate & Rank: A Multi-task Framework for Math Word Problems. EMNLP (Findings) 2021: 2269-2279 - [i4]Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu:
Generate & Rank: A Multi-task Framework for Math Word Problems. CoRR abs/2109.03034 (2021) - 2020
- [c3]Luchen Liu, Zequn Liu, Haoxian Wu, Zichang Wang, Jianhao Shen, Yiping Song, Ming Zhang:
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases. AMIA 2020 - [i3]Luchen Liu, Zequn Liu, Haoxian Wu, Zichang Wang, Jianhao Shen, Yiping Song, Ming Zhang:
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases. CoRR abs/2004.05318 (2020)
2010 – 2019
- 2019
- [j2]Zefeng Lu, Ying Xu, Xin Shan, Licai Liu, Xingzheng Wang, Jianhao Shen:
A Lane Detection Method Based on a Ridge Detector and Regional G-RANSAC. Sensors 19(18): 4028 (2019) - [i2]Yikai Zhu, Jianhao Shen, Ming Zhang:
Learning to Answer Ambiguous Questions with Knowledge Graph. CoRR abs/1912.11668 (2019) - 2018
- [j1]Jianhao Shen, Guofa Li, Weiquan Yan, Wenjin Tao, Gang Xu, Dongfeng Diao, Paul Green:
Nighttime Driving Safety Improvement via Image Enhancement for Driver Face Detection. IEEE Access 6: 45625-45634 (2018) - [c2]Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang:
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. AAAI 2018: 109-116 - [i1]Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang:
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. CoRR abs/1803.04837 (2018) - 2017
- [c1]Jianhao Shen, Gang Xu, Ying Xu, Li Qiu, Guofa Li:
National instrument-based experimental validation of a nonlinear real-time induction motor model in an EV simulation system. ICIT 2017: 959-964
Coauthor Index
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