ICTNET at Microblog Track TREC 2011. - Peng Cao; Jinhua Gao; Yubao Yu; Shenghua Liu; Yue Liu; Xueqi Cheng (TREC, 2011)

Finding Topic-Related Tweets Using Conversational Thread. - Peng Cao; Shenghua Liu; Jinhua Gao; Huawei Shen; Jingyuan Li; Yue Liu; Xueqi Cheng (IIP, 2012)

ICTNET at Microblog Track in TREC 2013. - Jinhua Gao; Guoxin Cui; Shenghua Liu; Yue Liu; Xueqi Cheng (TREC, 2013)

Modeling and Predicting Retweeting Dynamics via a Mixture Process. - Jinhua Gao; Huawei Shen; Shenghua Liu; Xueqi Cheng (WWW (Companion Volume), 2016)

A Non-negative Symmetric Encoder-Decoder Approach for Community Detection. - Bing-Jie Sun; Huawei Shen; Jinhua Gao; Wentao Ouyang; Xueqi Cheng (CIKM, 2017)

Cascade Dynamics Modeling with Attention-based Recurrent Neural Network. - Yongqing Wang 005; Huawei Shen; Shenghua Liu; Jinhua Gao; Xueqi Cheng (IJCAI, 2017)

Marked Temporal Dynamics Modeling Based on Recurrent Neural Network. - Yongqing Wang 005; Shenghua Liu; Huawei Shen; Jinhua Gao; Xueqi Cheng (PAKDD (1), 2017)

Predicting the Popularity of Online Content with Group-specific Models. - Qi Cao; Huawei Shen; Hao Gao 009; Jinhua Gao; Xueqi Cheng (WWW (Companion Volume), 2017)

Towards Efficient Detection of Overlapping Communities in Massive Networks. - Bing-Jie Sun; Huawei Shen; Jinhua Gao; Wentao Ouyang; Xueqi Cheng (AAAI, 2018)

Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks. - Yongqing Wang 005; Huawei Shen; Jinhua Gao; Xueqi Cheng (WWW, 2019)

A Graph Auto-Encoder for Attributed Network Embedding. - Keting Cen; Huawei Shen; Jinhua Gao; Qi Cao; Bingbing Xu 001; Xueqi Cheng (CoRR, 2019)

Coupled Graph Neural Networks for Predicting the Popularity of Online Content. - Qi Cao; Huawei Shen; Jinhua Gao; Bingzheng Wei; Xueqi Cheng (CoRR, 2019)

Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. - Bingbing Xu 001; Junjie Huang; Liang Hou; Huawei Shen; Jinhua Gao; Xueqi Cheng (SIGIR, 2020)

Popularity Prediction on Social Platforms with Coupled Graph Neural Networks. - Qi Cao; Huawei Shen; Jinhua Gao; Bingzheng Wei; Xueqi Cheng (WSDM, 2020)

Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction. - Wenjun Ke; Jinhua Gao; Huawei Shen; Xueqi Cheng (PAKDD (2), 2021)

Capturing SQL Query Overlapping via Subtree Copy for Cross-Domain Context-Dependent SQL Generation. - Ruizhuo Zhao; Jinhua Gao; Huawei Shen; Xueqi Cheng (PAKDD (2), 2021)

A Quantitative Evaluation Method of Software Usability Based on Improved GOMS Model. - Kunlong Wang; Kanjing Li; Jinhua Gao; Bing Liu; Zhi Fang; Wenjun Ke (QRS Companion, 2021)

Pre-training of Temporal Convolutional Neural Networks for Popularity Prediction. - Qi Cao; Huawei Shen; Yuanhao Liu; Jinhua Gao; Xueqi Cheng (CoRR, 2021)

Incorporating explicit syntactic dependency for aspect level sentiment classification. - Wenjun Ke; Jinhua Gao; Huawei Shen; Xueqi Cheng (Neurocomputing, 2021)

Learning diffusion model-free and efficient influence function for influence maximization from information cascades. - Qi Cao; Huawei Shen; Jinhua Gao; Xueqi Cheng (Knowl. Inf. Syst., 2021)

Few-Shot Stance Detection via Target-Aware Prompt Distillation. - Yan Jiang; Jinhua Gao; Huawei Shen; Xueqi Cheng (SIGIR, 2022)

ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic. - Wenjun Ke; Jinhua Gao; Huawei Shen; Xueqi Cheng (WSDM, 2022)

PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction. - Qi Cao; Huawei Shen; Yuanhao Liu; Jinhua Gao; Xueqi Cheng (WWW (Companion Volume), 2022)

Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer. - Wenjun Ke; Zongkai Tian; Qi Liu 056; Peng Wang 004; Jinhua Gao; Rui Qi (IJCAI, 2023)

Zero-shot stance detection via multi-perspective contrastive learning with unlabeled data. - Yan Jiang; Jinhua Gao; Huawei Shen; Xueqi Cheng (Inf. Process. Manag., 2023)

Towards Continual Knowledge Graph Embedding via Incremental Distillation. - Jiajun Liu; Wenjun Ke; Peng Wang 004; Ziyu Shang; Jinhua Gao; Guozheng Li; Ke Ji; Yanhe Liu (AAAI, 2024)

Fast and Continual Knowledge Graph Embedding via Incremental LoRA. - Jiajun Liu; Wenjun Ke; Peng Wang 004; Jiahao Wang; Jinhua Gao; Ziyu Shang; Guozheng Li; Zijie Xu 003; Ke Ji; Yining Li (IJCAI, 2024)

PhySoilNet: A deep learning downscaling model for microwave satellite soil moisture with physical rule constraint. - Zhenheng Xu; Hao Sun 003; Jinhua Gao; Yunjia Wang; Dan Wu; Tian Zhang; Huanyu Xu (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Backscatter/FVC Space: A Method for Estimating Forest Growing Stock Volume Combining SAR and Optical Remote Sensing. - Tian Zhang; Hao Sun 003; Zhenheng Xu; Huanyu Xu; Dan Wu; Jinhua Gao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

CPMF: An Integrated Technology for Generating 30-m, All-Weather Land Surface Temperature by Coupling Physical Model, Machine Learning, and Spatiotemporal Fusion Model. - Jinhua Gao; Hao Sun 003; Zhenheng Xu; Tian Zhang; Huanyu Xu; Dan Wu; Xiang Zhao 004 (IEEE Trans. Geosci. Remote. Sens., 2024)

ALiiCE: Evaluating Positional Fine-grained Citation Generation. - Yilong Xu; Jinhua Gao; Xiaoming Yu; Baolong Bi; Huawei Shen; Xueqi Cheng (NAACL (Long Papers), 2025)

Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models. - Yilong Xu; Jinhua Gao; Xiaoming Yu; Yuanhai Xue; Baolong Bi; Huawei Shen; Xueqi Cheng (CoRR, 2025)

RAVine: Reality-Aligned Evaluation for Agentic Search. - Yilong Xu; Xiang Long; Zhi Zheng; Jinhua Gao (CoRR, 2025)