| 2026 | ACL | TwiUSD: A Benchmark Dataset and Structure-Aware LLM Framework for User Stance Detection. | Fuqiang Niu, Zini Chen, Zhiyu Xie, Hu Huang, Qing Liao, Qianlong Wang, Genan Dai, Bowen Zhang |
| 2025 | AAAI | BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection. | Xuan Luo, Li Yang, Han Zhang, Geng Tu, Qianlong Wang, Keyang Ding, Chuang Fan, Jing Li, Ruifeng Xu |
| 2025 | ACL | Error Comparison Optimization for Large Language Models on Aspect-Based Sentiment Analysis. | Qianlong Wang, Keyang Ding, Hengxin Gao, Hui Wang, Ruifeng Xu |
| 2025 | ACL | DS²-ABSA: Dual-Stream Data Synthesis with Label Refinement for Few-Shot Aspect-Based Sentiment Analysis. | Hongling Xu, Yice Zhang, Qianlong Wang, Ruifeng Xu |
| 2025 | ACL | CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation. | Jingqian Zhao, Bingbing Wang, Geng Tu, Yice Zhang, Qianlong Wang, Bin Liang, Jing Li, Ruifeng Xu |
| 2025 | EMNLP | Comprehensive and Efficient Distillation for Lightweight Sentiment Analysis Models. | Guangyu Xie, Yice Zhang, Jianzhu Bao, Qianlong Wang, Yang Sun, Bingbing Wang, Ruifeng Xu |
| 2025 | EMNLP | Targeted Distillation for Sentiment Analysis. | Yice Zhang, Guangyu Xie, Jingjie Lin, Jianzhu Bao, Qianlong Wang, Xi Zeng, Ruifeng Xu |
| 2025 | HCI | Causal Reasoning with Large Language Models - A ChatGPT Case Study. | Atul Rawal, Justine Rawal, Adrienne Raglin, Qianlong Wang, Ziying Tang |
| 2025 | SIGIR | More Than Just A Conversation: A Multi-agent Reasoning Graph Knowledge Distillation for Conversational Stance Detection. | Bingbing Wang, Zhixin Bai, Qianlong Wang, Jingjie Lin, Min Yang, Xi Zeng, Ruifeng Xu |
| 2025 | SERA | LLM Assisted Attribute Generation for Image Datasets - A ChatGPT Case Study. | Atul Rawal, Adrienne Raglin, Qianlong Wang, Ziying Tang |
| 2024 | ACL | Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. | Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu |
| 2024 | COLING | In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis. | Qianlong Wang, Hongling Xu, Keyang Ding, Bin Liang, Ruifeng Xu |
| 2024 | SIGIR | Improving In-Context Learning via Sequentially Selection and Preference Alignment for Few-Shot Aspect-Based Sentiment Analysis. | Qianlong Wang, Keyang Ding, Xuan Luo, Ruifeng Xu |
| 2023 | EMNLP | In-context Learning for Few-shot Multimodal Named Entity Recognition. | Chenran Cai, Qianlong Wang, Bin Liang, Bing Qin, Min Yang, Kam-Fai Wong, Ruifeng Xu |
| 2023 | EMNLP | Reducing Spurious Correlations in Aspect-based Sentiment Analysis with Explanation from Large Language Models. | Qianlong Wang, Keyang Ding, Bin Liang, Min Yang, Ruifeng Xu |
| 2023 | ICMLA | Tropical Cyclone Intensity Forecasting Using Deep Learning. | Rose Atuah, Martin Pineda, Daniel McKirgan, Qianlong Wang, Michael P. McGuire |
| 2022 | SIGIR | Masking and Generation: An Unsupervised Method for Sarcasm Detection. | Rui Wang, Qianlong Wang, Bin Liang, Yi Chen, Zhiyuan Wen, Bing Qin, Ruifeng Xu |
| 2021 | EMNLP | Progressive Self-Training with Discriminator for Aspect Term Extraction. | Qianlong Wang, Zhiyuan Wen, Qin Zhao, Min Yang, Ruifeng Xu |
| 2021 | MOBIHOC | Weak Signal Detection in 5G+ Systems: A Distributed Deep Learning Framework. | Yifan Guo, Lixing Yu, Qianlong Wang, Tianxi Ji, Yuguang Fang, Jin Wei-Kocsis, Pan Li |
| 2020 | COLING | Label Correction Model for Aspect-based Sentiment Analysis. | Qianlong Wang, Jiangtao Ren |
| 2020 | ECAI | Sequence Prediction Model for Aspect-Level Sentiment Classification. | Qianlong Wang, Jiangtao Ren |
| 2020 | ICCD | A Hybrid Computing Architecture for Fault-tolerant Deep Learning Accelerators. | Dawen Xu, Cheng Chu, Qianlong Wang, Cheng Liu, Ying Wang, Lei Zhang, Huaguo Liang, Kwang-Ting Cheng |
| 2020 | IJCNN | Event Extraction via Extracting Triggers and Arguments Simultaneously and Matching. | Qianlong Wang, Jiangtao Ren |
| 2019 | ICDM | Quantized Adversarial Training: An Iterative Quantized Local Search Approach. | Yifan Guo, Tianxi Ji, Qianlong Wang, Lixing Yu, Pan Li |
| 2019 | IJCAI | Learning to Learn Gradient Aggregation by Gradient Descent. | Jinlong Ji, Xuhui Chen, Qianlong Wang, Lixing Yu, Pan Li |
| 2019 | IJCNN | Abstractive Summarization with Keyword and Generated Word Attention. | Qianlong Wang, Jiangtao Ren |
| 2019 | IJCNN | Paraphrase Generation with Collaboration between the Forward and the Backward Decoder. | Qianlong Wang, Jiangtao Ren |
| 2018 | ACML | Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach. | Yifan Guo, Weixian Liao, Qianlong Wang, Lixing Yu, Tianxi Ji, Pan Li |
| 2017 | DICTA | A Latent Space Understandable Generative Adversarial Network: SelfExGAN. | Yongjie Liu, Qianlong Wang, Yanlei Gu, Shunsuke Kamijo |
| 2016 | ICARCV | Design and control of switched reluctance motor drive for electric vehicles. | He Cheng, Hao Chen, Qianlong Wang, Shaohui Xu, Shunyao Yang |