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Jinhua Gao
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2020 – today
- 2024
- [j4]Tian Zhang, Hao Sun, Zhenheng Xu, Huanyu Xu, Dan Wu, Jinhua Gao:
Backscatter/FVC Space: A Method for Estimating Forest Growing Stock Volume Combining SAR and Optical Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8153-8163 (2024) - [c21]Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu:
Towards Continual Knowledge Graph Embedding via Incremental Distillation. AAAI 2024: 8759-8768 - [c20]Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li:
Fast and Continual Knowledge Graph Embedding via Incremental LoRA. IJCAI 2024: 2198-2206 - [i8]Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu:
Towards Continual Knowledge Graph Embedding via Incremental Distillation. CoRR abs/2405.04453 (2024) - [i7]Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, Xueqi Cheng:
ALiiCE: Evaluating Positional Fine-grained Citation Generation. CoRR abs/2406.13375 (2024) - [i6]Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li:
Fast and Continual Knowledge Graph Embedding via Incremental LoRA. CoRR abs/2407.05705 (2024) - 2023
- [j3]Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Zero-shot stance detection via multi-perspective contrastive learning with unlabeled data. Inf. Process. Manag. 60(4): 103361 (2023) - [c19]Wenjun Ke, Zongkai Tian, Qi Liu, Peng Wang, Jinhua Gao, Rui Qi:
Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer. IJCAI 2023: 5104-5112 - 2022
- [c18]Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Few-Shot Stance Detection via Target-Aware Prompt Distillation. SIGIR 2022: 837-847 - [c17]Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng:
ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic. WSDM 2022: 467-475 - [c16]Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng:
PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction. WWW (Companion Volume) 2022: 243-247 - [i5]Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Few-Shot Stance Detection via Target-Aware Prompt Distillation. CoRR abs/2206.13214 (2022) - 2021
- [j2]Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Incorporating explicit syntactic dependency for aspect level sentiment classification. Neurocomputing 456: 394-406 (2021) - [j1]Qi Cao, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Learning diffusion model-free and efficient influence function for influence maximization from information cascades. Knowl. Inf. Syst. 63(5): 1173-1196 (2021) - [c15]Ruizhuo Zhao, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Capturing SQL Query Overlapping via Subtree Copy for Cross-Domain Context-Dependent SQL Generation. PAKDD (2) 2021: 664-675 - [c14]Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction. PAKDD (2) 2021: 743-755 - [c13]Kunlong Wang, Kanjing Li, Jinhua Gao, Bing Liu, Zhi Fang, Wenjun Ke:
A Quantitative Evaluation Method of Software Usability Based on Improved GOMS Model. QRS Companion 2021: 691-697 - [i4]Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng:
Pre-training of Temporal Convolutional Neural Networks for Popularity Prediction. CoRR abs/2108.06220 (2021) - 2020
- [c12]Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. SIGIR 2020: 1897-1900 - [c11]Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng:
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks. WSDM 2020: 70-78 - [i3]Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. CoRR abs/2007.13435 (2020)
2010 – 2019
- 2019
- [c10]Yongqing Wang, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks. WWW 2019: 3335-3341 - [i2]Keting Cen, Huawei Shen, Jinhua Gao, Qi Cao, Bingbing Xu, Xueqi Cheng:
A Graph Auto-Encoder for Attributed Network Embedding. CoRR abs/1906.08745 (2019) - [i1]Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng:
Coupled Graph Neural Networks for Predicting the Popularity of Online Content. CoRR abs/1906.09032 (2019) - 2018
- [c9]Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng:
Towards Efficient Detection of Overlapping Communities in Massive Networks. AAAI 2018: 418-425 - 2017
- [c8]Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng:
A Non-negative Symmetric Encoder-Decoder Approach for Community Detection. CIKM 2017: 597-606 - [c7]Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao, Xueqi Cheng:
Cascade Dynamics Modeling with Attention-based Recurrent Neural Network. IJCAI 2017: 2985-2991 - [c6]Yongqing Wang, Shenghua Liu, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Marked Temporal Dynamics Modeling Based on Recurrent Neural Network. PAKDD (1) 2017: 786-798 - [c5]Qi Cao, Huawei Shen, Hao Gao, Jinhua Gao, Xueqi Cheng:
Predicting the Popularity of Online Content with Group-specific Models. WWW (Companion Volume) 2017: 765-766 - 2016
- [c4]Jinhua Gao, Huawei Shen, Shenghua Liu, Xueqi Cheng:
Modeling and Predicting Retweeting Dynamics via a Mixture Process. WWW (Companion Volume) 2016: 33-34 - 2013
- [c3]Jinhua Gao, Guoxin Cui, Shenghua Liu, Yue Liu, Xueqi Cheng:
ICTNET at Microblog Track in TREC 2013. TREC 2013 - 2012
- [c2]Peng Cao, Shenghua Liu, Jinhua Gao, Huawei Shen, Jingyuan Li, Yue Liu, Xueqi Cheng:
Finding Topic-Related Tweets Using Conversational Thread. Intelligent Information Processing 2012: 258-267 - 2011
- [c1]Peng Cao, Jinhua Gao, Yubao Yu, Shenghua Liu, Yue Liu, Xueqi Cheng:
ICTNET at Microblog Track TREC 2011. TREC 2011
Coauthor Index
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