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Jianhao Shen
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2020 – today
- 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) - [c12]Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan, Ming Zhang, Chenguang Wang:
Measuring Vision-Language STEM Skills of Neural Models. ICLR 2024 - [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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last updated on 2024-08-15 23:48 CEST by the dblp team
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