| 2026 | AAAI | Chinese Two-part Allegorical Sayings Reading Comprehension: Exploration from Reasoning to Metaphor. | Dongyu Su, Yimin Xiao, Tongguan Wang, Feiyue Xue, Junkai Li, Hui Liu, Ying Sha |
| 2026 | WWW | Beyond Words: Enhancing Desire, Emotion, and Sentiment Recognition with Non-Verbal Cues. | Wei Chen, Tongguan Wang, Feiyue Xue, Junkai Li, Hui Liu, Ying Sha |
| 2026 | WWW | MePe: Rethinking Multimodal Chinese Idiom Reading Comprehension from a Metaphorical Perspective. | Tongguan Wang, Junkai Li, Feiyue Xue, Hui Liu, Dongyu Su, Wangjun Huang, Ying Sha |
| 2025 | AAAI | McHirc: A Multimodal Benchmark for Chinese Idiom Reading Comprehension. | Tongguan Wang, Mingmin Wu, Guixin Su, Dongyu Su, Yuxue Hu, Zhongqiang Huang, Ying Sha |
| 2025 | COLING | Unified Grid Tagging Scheme for Aspect Sentiment Quad Prediction. | Guixin Su, Yongcheng Zhang, Tongguan Wang, Mingmin Wu, Ying Sha |
| 2025 | ICASSP | Multi-Hop Attention Diffusion Graph Neural Networks For Multimodal Fake News Detection. | Zhongqiang Huang, Dongli Lu, Ying Sha |
| 2024 | AAAI | Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification. | Yuxue Hu, Junsong Li, Mingmin Wu, Zhongqiang Huang, Gang Chen, Ying Sha |
| 2024 | AAAI | Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension. | Mingmin Wu, Yuxue Hu, Yongcheng Zhang, Zhi Zeng, Guixin Su, Ying Sha |
| 2024 | ACL | A Unified Generative Framework for Bilingual Euphemism Detection and Identification. | Yuxue Hu, Junsong Li, Tongguan Wang, Dongyu Su, Guixin Su, Ying Sha |
| 2024 | ACL | Refine, Align, and Aggregate: Multi-view Linguistic Features Enhancement for Aspect Sentiment Triplet Extraction. | Guixin Su, Mingmin Wu, Zhongqiang Huang, Yongcheng Zhang, Tongguan Wang, Yuxue Hu, Ying Sha |
| 2024 | COLING | Refining Idioms Semantics Comprehension via Contrastive Learning and Cross-Attention. | Mingmin Wu, Guixin Su, Yongcheng Zhang, Zhongqiang Huang, Ying Sha |
| 2024 | WWW | Euphemism Identification via Feature Fusion and Individualization. | Yuxue Hu, Mingmin Wu, Zhongqiang Huang, Junsong Li, Xing Ge, Ying Sha |
| 2023 | DASFAA | A Prompt-Based Representation Individual Enhancement Method for Chinese Idiom Reading Comprehension. | Ying Sha, Mingmin Wu, Zhi Zeng, Xing Ge, Zhongqiang Huang, Huan Wang |
| 2022 | AAAI | Exploring Relational Semantics for Inductive Knowledge Graph Completion. | Changjian Wang, Xiaofei Zhou, Shirui Pan, Linhua Dong, Zeliang Song, Ying Sha |
| 2022 | HPCC | Heterogeneous Propagation Graph Representation Learning for Fake News Detection. | Zhi Zeng, Xiang Li, Ying Sha |
| 2022 | WWW | Exploiting Anomalous Structural Nodes in Dynamic Social Networks. | Huan Wang, Chunming Qiao, Xuan Guo, Ying Sha, Zhiguo Gong |
| 2021 | ICTAI | Fake News Detection by Using Common Latent Semantics Matching Method. | Zhi Zeng, Linyun Ye, Ruigang Liu, Ziwen Cui, Minghao Wu, Ying Sha |
| 2020 | IJCNN | IARNet: An Information Aggregating and Reasoning Network over Heterogeneous Graph for Fake News Detection. | Junshuai Yu, Qi Huang, Xiaofei Zhou, Ying Sha |
| 2020 | ICWE | Neighborhood Aggregation Embedding Model for Link Prediction in Knowledge Graphs. | Changjian Wang, Ying Sha |
| 2019 | AAAI | DSINE: Deep Structural Influence Learning via Network Embedding. | Jianjun Wu, Ying Sha, Bo Jiang, Jianlong Tan |
| 2019 | COMPSAC | Chinese Social Media Entity Linking Based on Effective Context with Topic Semantics. | Chengfang Ma, Ying Sha, Jianlong Tan, Li Guo, Huailiang Peng |
| 2019 | COMPSAC | Improving Classification of Breast Cancer by Utilizing the Image Pyramids of Whole-Slide Imaging and Multi-scale Convolutional Neural Networks. | Li Tong, Ying Sha, May D. Wang |
| 2019 | ICANN | Capturing User and Product Information for Sentiment Classification via Hierarchical Separated Attention and Neural Collaborative Filtering. | Minghui Yan, Changjian Wang, Ying Sha |
| 2019 | ICANN | Learning to Explain Chinese Slang Words. | Chuanrun Yi, Dong Wang, Chunyu He, Ying Sha |
| 2018 | ICCS | Leveraging Uncertainty Analysis of Data to Evaluate User Influence Algorithms of Social Networks. | Jianjun Wu, Ying Sha, Rui Li, Jianlong Tan, Bin Wang |
| 2018 | ICCS | Morph Resolution Based on Autoencoders Combined with Effective Context Information. | Jirong You, Ying Sha, Qi Liang, Bin Wang |
| 2017 | ICCS | Resolving Entity Morphs based on Character-Word Embedding. | Ying Sha, Zhenhui Shi, Rui Li, Qi Liang, Bin Wang |
| 2016 | ICCS | Matching User Accounts Across Social Networks Based on Users Message. | Ying Sha, Qi Liang, Kaijian Zheng |
| 2016 | SIGIR | Retweeting Behavior Prediction Based on One-Class Collaborative Filtering in Social Networks. | Bo Jiang, Jiguang Liang, Ying Sha, Rui Li, Wei Liu, Hongyuan Ma, Lihong Wang |
| 2016 | WISE | Domain Dictionary-Based Topic Modeling for Social Text. | Bo Jiang, Jiguang Liang, Ying Sha, Rui Li, Lihong Wang |
| 2015 | APWEB | A Multi-view Retweeting Behaviors Prediction in Social Networks. | Bo Jiang, Ying Sha, Lihong Wang |
| 2015 | CIKM | Message Clustering based Matrix Factorization Model for Retweeting Behavior Prediction. | Bo Jiang, Jiguang Liang, Ying Sha, Lihong Wang |
| 2015 | ICCS | Modeling Temporal Dynamics of User Interests in Online Social Networks. | Bo Jiang, Ying Sha |
| 2014 | SAC | Preventing the diffusion of negative information based on local influence tree. | Yang Li, Ying Sha, Jixi Shan, Bo Jiang, Jianjun Wu |
| 2013 | ICDM | Unsupervised Clustering Strategy Based on Label Propagation. | Jiguang Liang, Xiaofei Zhou, Ying Sha, Ping Liu, Li Guo, Shuo Bai |
| 2013 | PDCAT | Finding High Influence Vertices Based on Candidate Set. | Yang Li, Ying Sha, Jixi Shan, Bo Jiang |
| 2009 | ICPADS | Measuring the Influence of Active Measurement on Unstructured Peer-to-Peer Network. | Ying Sha, Zhibin Zhang, Jianlong Tan |
| 2007 | ICSoft | An Efficient Algorithm to Compute Max/Min Values in Sliding Window for Data Streams. | Ying Sha, Jianlong Tan |