| 2026 | AAAI | ConInstruct: Evaluating Large Language Models on Conflict Detection and Resolution in Instructions. | Xingwei He, Qianru Zhang, Pengfei Chen, Guanhua Chen, Linlin Yu, Yuan Yuan, Siu-Ming Yiu |
| 2026 | ACL | Efficient Test-Time Scaling via Temporal Reasoning Aggregation. | Jiakun Li, Xingwei He, Kefan Li, Hongzheng Chai, Hongyue Yu, Yuan Yuan |
| 2025 | ACL | Tag-Instruct: Controlled Instruction Complexity Enhancement through Structure-based Augmentation. | He Zhu, Zhiwen Ruan, Junyou Su, Xingwei He, Yun Chen, Wenjia Zhang, Guanhua Chen |
| 2024 | AAAI | Improving Factual Error Correction by Learning to Inject Factual Errors. | Xingwei He, Qianru Zhang, A-Long Jin, Jun Ma, Yuan Yuan, Siu Ming Yiu |
| 2024 | COLING | Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval. | Hang Zhang, Yeyun Gong, Dayiheng Liu, Shunyu Zhang, Xingwei He, Jiancheng Lv, Jian Guo |
| 2024 | NAACL | AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators. | Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen |
| 2023 | EMNLP | CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion. | Xingwei He, Yeyun Gong, A-Long Jin, Hang Zhang, Anlei Dong, Jian Jiao, Siu-Ming Yiu, Nan Duan |
| 2023 | EMNLP | PivotFEC: Enhancing Few-shot Factual Error Correction with a Pivot Task Approach using Large Language Models. | Xingwei He, A-Long Jin, Jun Ma, Yuan Yuan, Siu Ming Yiu |
| 2023 | EMNLP | Noisy Pair Corrector for Dense Retrieval. | Hang Zhang, Yeyun Gong, Xingwei He, Dayiheng Liu, Daya Guo, Jiancheng Lv, Jian Guo |
| 2022 | ACL | Controllable Dictionary Example Generation: Generating Example Sentences for Specific Targeted Audiences. | Xingwei He, Siu-Ming Yiu |
| 2022 | EMNLP | Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning. | Xingwei He, Yeyun Gong, A-Long Jin, Weizhen Qi, Hang Zhang, Jian Jiao, Bartuer Zhou, Biao Cheng, Siu-Ming Yiu, Nan Duan |
| 2021 | AAAI | Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet. | Xingwei He, Victor O. K. Li |
| 2021 | EMNLP | Parallel Refinements for Lexically Constrained Text Generation with BART. | Xingwei He |
| 2017 | IJCNN | Optimize collapsed Gibbs sampling for biterm topic model by alias method. | Xingwei He, Hua Xu, Xiaomin Sun, Junhui Deng, Xiaoli Bai, Jia Li |
| 2017 | IJCNN | ABiRCNN with neural tensor network for answer selection. | Xingwei He, Hua Xu, Xiaomin Sun, Junhui Deng, Jia Li |
| 2016 | IJCNN | Tweet modeling with LSTM recurrent neural networks for hashtag recommendation. | Jia Li, Hua Xu, Xingwei He, Junhui Deng, Xiaomin Sun |
| 2016 | IGARSS | Dust storm detection for Xingjiang region using Indian National Satellite (INSAT 3A) data. | Aojie Di, Yong Xue, Xihua Yang, John Francis Leys, Jie Guang, Linlu Mei, Jingli Wang, Lu She, Xingwei He, Yahui Che, Cheng Fan |
| 2016 | IGARSS | Aerosol optical depth retrieval from recalibrated AVHRR data for China mainland in 1998. | Xingwei He, Yong Xue, Jie Guang, Linlu Mei |
| 2015 | IGARSS | China collection 2.1: Aerosol Optical Depth dataset for mainland China at 1km resolution. | Yong Xue, Xingwei He, Hui Xu, Jie Guang, Jianping Guo, Linlu Mei |
| 2014 | IGARSS | Quality assurance plan for China collection 2.0 aerosol datasets. | Lu She, Yong Xue, Jie Guang, Xingwei He, Chi Li |
| 2014 | IGARSS | Comparison of two methods for aerosol optical depth retrieval over North Africa from MSG/SEVIRI data. | Jie Guang, Yong Xue, Jean-Louis Roujean, Dominique Carrer, Xavier Ceamanos, Chi Li, Linlu Mei, Xingwei He, Jia Liu, Hui Xu |
| 2014 | IGARSS | The analysis of the haze event in the North China plain in 2013. | Xingwei He, Yong Xue, Jie Guang, Yuanli Shi, Hui Xu, Jianming Cai, Linlu Mei, Chi Li |
| 2014 | IGARSS | Sub-workflow parallel implementation of aerosol optical depth retrieval from MODIS data case on a Grid platform. | Jia Liu, Yong Xue, Vassil T. Vassilev, Xingwei He |
| 2014 | IGARSS | Post calibration of channel 1 of NOAA-14 AVHRR: Implications on aerosol optical depth retrieval. | Chi Li, Yong Xue, Quanhua Liu, Jie Guang, Xingwei He, Aojie Di, Lu She |
| 2013 | IGARSS | Aerosol Optical Thickness retrieval over snow-covered surface using AATSR data. | Linlu Mei, Yong Xue, Xingwei He |
| 2013 | IGARSS | The improved synergetic retrieval of aerosol properties algorithm. | Xingwei He, Yong Xue, Jie Guang, Leiku Yang, Linlu Mei, Jia Liu |
| 2012 | IGARSS | A semi-empirical optical data fusion technique for merging aerosol optical depth over China. | Hui Xu, Yong Xue, Jie Guang, Yingjie Li, Leiku Yang, Tingting Hou, Xingwei He, Jing Dong, Ziqiang Chen |
| 2012 | IGARSS | Uncertainty from Lambertian surface assumption in satellite aerosol retrieval. | Leiku Yang, Yong Xue, Yingjie Li, Chi Li, Jie Guang, Xingwei He, Jing Dong, Tingting Hou |
| 2012 | IGARSS | Air qulity analysis based on PM2.5 distribution over China. | Xingwei He, Yong Xue, Yingjie Li, Jie Guang, Leiku Yang, Hui Xu, Chi Li |
| 2012 | IGARSS | Aerosol retrival of North China using NOAA AVHRR data. | Tingting Hou, Yong Xue, Yingjie Li, Leiku Yang, Xingwei He, Chi Li, Jie Guang, Jing Dong |
| 2011 | IGARSS | Prior information supported aerosol optical depth retrieval using FY2D data. | Linlu Mei, Yong Xue, Ying Wang, Tingting Hou, Jie Guang, Yingjie Li, Hui Xu, Chaolin Wu, Xingwei He, Jing Dong, Ziqiang Chen |
| 2011 | IGARSS | Intercomparison and combination of satellite retrieved aerosol optical depth over land. | Jie Guang, Yong Xue, Linlu Mei, Yingjie Li, Hui Xu, Xingwei He, Tingting Hou |
| 2011 | IGARSS | Multi-scale aerosol retrieval over land from satellite data and its application on haze monitoring. | Xingwei He, Yong Xue, Yingjie Li, Jie Guang, Ying Wang, Linlu Mei, Hui Xu |
| 2011 | IGARSS | An advanced synergetic algorithm for aerosol optical depth retrieval from HJ-1A HSI and Terra MODIS data based on mutual information. | Yingjie Li, Yong Xue, Xingwei He, Jie Guang, Ying Wang, Linlu Mei, Hui Xu |
| 2010 | IGARSS | A flexible abstract graphical grid workflow data structure for remote sensing quantitative retrieval. | Jianwen Ai, Yong Xue, Jie Guang, Yingjie Li, Ying Wang, Linlu Mei, Xingwei He |