Jinhua Gao

40 papers A* 9A 3Journal 17Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Study on Simulating Directional Land Surface Emissivity Based on Kernel-Driven Models and Its Application to the Generalized Split-Window Algorithm.
IEEE Trans. Geosci. Remote. Sens.
Dan Wu, Hao Sun, Yunhao Chen, Dandan Wang, Zhiwei He, Bo-Hui Tang, Zhenheng Xu, Jinhua Gao, Yunjia Wang, Tian Zhang, Huanyu Xu
2025 — conf
ALiiCE: Evaluating Positional Fine-grained Citation Generation.
NAACL (Long Papers)
Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, Xueqi Cheng
2025 J jnl
RAVine: Reality-Aligned Evaluation for Agentic Search.
CoRR
Yilong Xu, Xiang Long, Zhi Zheng, Jinhua Gao
2025 A* conf
Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models.
EMNLP
Yilong Xu, Jinhua Gao, Xiaoming Yu, Yuanhai Xue, Baolong Bi, Huawei Shen, Xueqi Cheng
2025 J jnl
Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models.
CoRR
Yilong Xu, Jinhua Gao, Xiaoming Yu, Yuanhai Xue, Baolong Bi, Huawei Shen, Xueqi Cheng
2024 J jnl
ALiiCE: Evaluating Positional Fine-grained Citation Generation.
CoRR
Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, Xueqi Cheng
2024 J jnl
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.
Tian Zhang, Hao Sun, Zhenheng Xu, Huanyu Xu, Dan Wu, Jinhua Gao
2024 J jnl
CPMF: An Integrated Technology for Generating 30-m, All-Weather Land Surface Temperature by Coupling Physical Model, Machine Learning, and Spatiotemporal Fusion Model.
IEEE Trans. Geosci. Remote. Sens.
Jinhua Gao, Hao Sun, Zhenheng Xu, Tian Zhang, Huanyu Xu, Dan Wu, Xiang Zhao
2024 A* conf
Fast and Continual Knowledge Graph Embedding via Incremental LoRA.
IJCAI
Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li
2024 J jnl
Fast and Continual Knowledge Graph Embedding via Incremental LoRA.
CoRR
Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li
2024 J jnl
PhySoilNet: A deep learning downscaling model for microwave satellite soil moisture with physical rule constraint.
Int. J. Appl. Earth Obs. Geoinformation
Zhenheng Xu, Hao Sun, Jinhua Gao, Yunjia Wang, Dan Wu, Tian Zhang, Huanyu Xu
2024 A* conf
Towards Continual Knowledge Graph Embedding via Incremental Distillation.
AAAI
Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu
2024 J jnl
Towards Continual Knowledge Graph Embedding via Incremental Distillation.
CoRR
Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu
2023 A* conf
Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer.
IJCAI
Wenjun Ke, Zongkai Tian, Qi Liu, Peng Wang, Jinhua Gao, Rui Qi
2023 J jnl
Zero-shot stance detection via multi-perspective contrastive learning with unlabeled data.
Inf. Process. Manag.
Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng
2022 A conf
ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic.
WSDM
Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng
2022 A* conf
Few-Shot Stance Detection via Target-Aware Prompt Distillation.
SIGIR
Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng
2022 J jnl
Few-Shot Stance Detection via Target-Aware Prompt Distillation.
CoRR
Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng
2022 — conf
PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction.
WWW (Companion Volume)
Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng
2021 — conf
A Quantitative Evaluation Method of Software Usability Based on Improved GOMS Model.
QRS Companion
Kunlong Wang, Kanjing Li, Jinhua Gao, Bing Liu, Zhi Fang, Wenjun Ke
2021 — conf
Capturing SQL Query Overlapping via Subtree Copy for Cross-Domain Context-Dependent SQL Generation.
PAKDD (2)
Ruizhuo Zhao, Jinhua Gao, Huawei Shen, Xueqi Cheng
2021 J jnl
Incorporating explicit syntactic dependency for aspect level sentiment classification.
Neurocomputing
Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng
2021 J jnl
Learning diffusion model-free and efficient influence function for influence maximization from information cascades.
Knowl. Inf. Syst.
Qi Cao, Huawei Shen, Jinhua Gao, Xueqi Cheng
2021 J jnl
Pre-training of Temporal Convolutional Neural Networks for Popularity Prediction.
CoRR
Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng
2021 — conf
Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction.
PAKDD (2)
Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng
2020 A* conf
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification.
SIGIR
Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng
2020 J jnl
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification.
CoRR
Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng
2020 A conf
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks.
WSDM
Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng
2019 J jnl
A Graph Auto-Encoder for Attributed Network Embedding.
CoRR
Keting Cen, Huawei Shen, Jinhua Gao, Qi Cao, Bingbing Xu, Xueqi Cheng
2019 J jnl
Coupled Graph Neural Networks for Predicting the Popularity of Online Content.
CoRR
Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng
2019 A* conf
Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks.
WWW
Yongqing Wang, Huawei Shen, Jinhua Gao, Xueqi Cheng
2018 A* conf
Towards Efficient Detection of Overlapping Communities in Massive Networks.
AAAI
Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng
2017 A conf
A Non-negative Symmetric Encoder-Decoder Approach for Community Detection.
CIKM
Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng
2017 A* conf
Cascade Dynamics Modeling with Attention-based Recurrent Neural Network.
IJCAI
Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao, Xueqi Cheng
2017 — conf
Marked Temporal Dynamics Modeling Based on Recurrent Neural Network.
PAKDD (1)
Yongqing Wang, Shenghua Liu, Huawei Shen, Jinhua Gao, Xueqi Cheng
2017 — conf
Predicting the Popularity of Online Content with Group-specific Models.
WWW (Companion Volume)
Qi Cao, Huawei Shen, Hao Gao, Jinhua Gao, Xueqi Cheng
2016 — conf
Modeling and Predicting Retweeting Dynamics via a Mixture Process.
WWW (Companion Volume)
Jinhua Gao, Huawei Shen, Shenghua Liu, Xueqi Cheng
2013 — conf
ICTNET at Microblog Track in TREC 2013.
TREC
Jinhua Gao, Guoxin Cui, Shenghua Liu, Yue Liu, Xueqi Cheng
2012 — conf
Finding Topic-Related Tweets Using Conversational Thread.
IIP
Peng Cao, Shenghua Liu, Jinhua Gao, Huawei Shen, Jingyuan Li, Yue Liu, Xueqi Cheng
2011 — conf
ICTNET at Microblog Track TREC 2011.
TREC
Peng Cao, Jinhua Gao, Yubao Yu, Shenghua Liu, Yue Liu, Xueqi Cheng