| 2026 | ACL | New Terms, New Toxicity: Consensus-based Chinese Neologism Toxicity Detection via Search-Augmented LLMs. | Shiyao Cui, Qinglin Zhang, Di Wang, Yida Lu, Zhexin Zhang, Jinhua Gao, Jinglin Yang, Min He, Han Qiu, Minlie Huang |
| 2025 | EMNLP | 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 |
| 2025 | NAACL | ALiiCE: Evaluating Positional Fine-grained Citation Generation. | Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, Xueqi Cheng |
| 2024 | AAAI | Towards Continual Knowledge Graph Embedding via Incremental Distillation. | Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu |
| 2024 | IJCAI | Fast and Continual Knowledge Graph Embedding via Incremental LoRA. | Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li |
| 2023 | IJCAI | Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer. | Wenjun Ke, Zongkai Tian, Qi Liu, Peng Wang, Jinhua Gao, Rui Qi |
| 2022 | WWW | PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction. | Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng |
| 2022 | SIGIR | Few-Shot Stance Detection via Target-Aware Prompt Distillation. | Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng |
| 2022 | WSDM | ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic. | Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng |
| 2021 | PAKDD | Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction. | Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng |
| 2021 | PAKDD | Capturing SQL Query Overlapping via Subtree Copy for Cross-Domain Context-Dependent SQL Generation. | Ruizhuo Zhao, Jinhua Gao, Huawei Shen, Xueqi Cheng |
| 2021 | QRS | A Quantitative Evaluation Method of Software Usability Based on Improved GOMS Model. | Kunlong Wang, Kanjing Li, Jinhua Gao, Bing Liu, Zhi Fang, Wenjun Ke |
| 2020 | SIGIR | Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. | Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng |
| 2020 | WSDM | Popularity Prediction on Social Platforms with Coupled Graph Neural Networks. | Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng |
| 2019 | WWW | Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks. | Yongqing Wang, Huawei Shen, Jinhua Gao, Xueqi Cheng |
| 2018 | AAAI | Towards Efficient Detection of Overlapping Communities in Massive Networks. | Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng |
| 2017 | CIKM | A Non-negative Symmetric Encoder-Decoder Approach for Community Detection. | Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng |
| 2017 | IJCAI | Cascade Dynamics Modeling with Attention-based Recurrent Neural Network. | Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao, Xueqi Cheng |
| 2017 | PAKDD | Marked Temporal Dynamics Modeling Based on Recurrent Neural Network. | Yongqing Wang, Shenghua Liu, Huawei Shen, Jinhua Gao, Xueqi Cheng |
| 2017 | WWW | Predicting the Popularity of Online Content with Group-specific Models. | Qi Cao, Huawei Shen, Hao Gao, Jinhua Gao, Xueqi Cheng |
| 2016 | WWW | Modeling and Predicting Retweeting Dynamics via a Mixture Process. | Jinhua Gao, Huawei Shen, Shenghua Liu, Xueqi Cheng |