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基本情况
- 男,共产党员,来自于有鹤乡之称的黑龙江省齐齐哈尔市
人生格言
研究兴趣
- 主要研究方向
- 相关学位论文
- 基于社会媒体的市场行情预测方法研究,博士生毕业论文,2016.6
- 句子级中文事件抽取关键技术研究,硕士生毕业论文,2011.7
部分已发表论文
- Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin. Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate. In Proc. EMNLP 2023. (Long Paper, Findings). [PDF]
- Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu. Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation. In Proc. EMNLP 2023. (Long Paper, Findings). [PDF]
- Tingting Wu, Xiao Ding, Hao Zhang,Jinglong Gao,Minji Tang,Li Du,Bing Qin,Ting Liu. DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. IEEE Transactions on Multimedia. (SCI Index, IF=8.182)[PDF]
- Li Du, Xiao Ding, Zhouhao Su,Ting Liu,Bing Qin, Jingshuo Liu. Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing. In Proc. ACL 2023. (Main Conference)[PDF]
- Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin,Ting Liu. NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. In Proc. ACL 2023. (Findings)[PDF]
- Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang. Self-supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning. In Proc. AAAI 2023. (Main Conference)[PDF]
- Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin. Enhancing pretrained language models with structured commonsense knowledge for textual inference. In Proc. Journal of Knowledge-Based Systems. (SCI Index, IF=8.139). [PDF]
- Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin, Yi Zheng, Baoxing Huai. ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. In Proc. EMNLP 2022. (Long Paper, Main Conference). [PDF]
- Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu. STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processin. In Proc. EMNLP 2022. (Long Paper, Main Conference). [PDF]
- Xiao Ding, Bowen Chen, Li Du, Bing Qin, Ting Liu. CogBERT: Cognition-Guided Pre-trained Language Models. In Proc. COLING 2022. (Long Paper). [PDF]
- Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin. e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. In Proc. ACL 2022. (Long Paper, Main Conference). [PDF]
- Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin. A Graph Enhanced BERT Model for Event Prediction. In Proc. ACL 2022. (Long Paper, Findings). [PDF]
- Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu. Mitigating Reporting Bias for Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic. In Proc. AAAI 2022. (Long Paper, Main Conference).
- Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin. ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning. In Proc. ACL 2021. (Long Paper, Main Conference). [PDF]
- Li Du, Xiao Ding, Ting Liu, Bing Qin. Learning Event Graph Knowledge for Abductive Reasoning. In Proc. ACL 2021. (Long Paper, Main Conference). [PDF]
- Jihao Shi, Xiao Ding, Ting Liu, Bing Qin. Neural Natural Logic Inference for Interpretable Question Answering. In Proc. EMNLP 2021. (Long Paper, Main Conference). [PDF]
- Xiao Ding, Jihao Shi, Junwen Duan, Bing Qin, Ting Liu. Quantifying the effects of long-term news on stock markets on the basis of the multikernel Hawkes process. In Proc. Science China Information Sciences 64 (9), 1-13. (SCI Index, IF=4.38). [PDF]
- Zhongyang Li, Xiao Ding, Ting Liu. TransBERT: A Three-Stage Pre-training Technology for Story-Ending Prediction. In Proc. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 2021, 20(1): 1-20. (SCI Index, IF=1.42). [PDF]
- Xiao Ding, Dingkui Hao, Yuewei Zhang, Kuo Liao, Zhongyang Li, Bing Qin, Ting Liu. HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection. In Proc. SemEval 2020. We won the first place (1st) in Subtask 1 of Task 5.
- Zhongyang Li, Xiao Ding, Ting Liu, Edward Hu, Benjamin Van Durme. Guided Generation of Cause and Effect. In Proc. IJCAI 2020 (Long Paper, accept rate = 12.6%). [PDF]
- Junwen Duan, Xiao Ding, Yue Zhang, Ting Liu. TEND: A Target-dependent Representation Learning Framework for News Document. In IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 2019. [PDF]
- Zhongyang Li, Xiao Ding, Ting Liu. Story Ending Prediction by Transferable BERT. In Proc. IJCAI 2019 (Long Paper, accept rate = 17.8%). [PDF]
- Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li, Junwen Duan. Event Representation Learning Enhanced with External Commonsense Knowledge. In Proc. EMNLP 2019 (Long Paper, accept rate = 23.8%). [PDF][DATA&CODE]
- Li Du, Xiao Ding, Ting Liu, Zhongyang Li. Modeling Event Background for If-Then Commonsense Reasoning Using Contextaware Variational Autoencoder. In Proc. EMNLP 2019 (Long Paper, accept rate = 23.8%). [PDF]
- Xiao Ding, Bibo Cai, Ting Liu, Qiankun Shi. Domain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification. In Proc. IJCAI 2018 (Long Paper, accept rate = 20%). [PDF] [DATA&CODE]
- Zhongyang Li, Xiao Ding, Ting Liu. Constructing Narrative Event Evolutionary Graph for Script Event Prediction. In Proc. IJCAI 2018 (Long Paper, accept rate = 20%). [PDF] [DATA&CODE]
- Zhongyang Li, Xiao Ding, Ting Liu. Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training. In Proc. COLING 2018 (Long Paper, accept rate = 37.4%). [PDF]
- Junwen Duan, Yue Zhang, Xiao Ding, Ching-Yun Chang, Ting Liu. Learning Target Dependent Representations of Financial News Documents. In Proc. COLING 2018 (Long Paper, accept rate = 37.4%). [PDF]
- Junwen Duan, Xiao Ding, Ting Liu. Learning Sentence Representations over Tree Structures for Target-dependent Classification. In Proc. NAACL 2018 (Long Paper, accept rate = 32%). [PDF]
- Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan. Knowledge-Driven Event Embedding for Stock Prediction. In Proc. COLING 2016 (Long Paper, accept rate = 32%). [PDF]
- Ting Liu, Xiao Ding, Yiheng Chen, Hanchen Chen, Maosheng Guo. Predicting Movie Box-Office Revenues by Exploiting Large-Scale Social Media Content. Multimedia Tools and Applications. (SCI Index, Impact Factor: 1.346, Corresponding Author). 2016. [PDF] [Demo]
- Xiao Ding, Bing Qin, Ting Liu. BUEES: a Bottom-Up Event Extraction System. Frontiers of Information Technology & Electronic Engineering. (SCI Index, Impact Factor: 0.415). 2015. [PDF]
- Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan. Deep Learning for Event-Driven Stock Prediction. In Proc. IJCAI 2015 (Long Paper, accept rate = 28%). [PDF] [Slides] [Poster]
- Xiao Ding, Ting Liu, Junwen Duan, Jianyun Nie. Mining User Consumption Intention from Social Media via Domain Adaptive Convolutional Neural Network. In Proc. AAAI 2015 (long paper, accept rate = 26.67%). [PDF]
- Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan. Using Structured Events to Predict Stock Price Movement: An Empirical Investigation. In Proc. EMNLP 2014 (Long Paper, accept rate = 28%). [PDF] [DATA]
- Xiao Ding, Zhicheng Dou, Bing Qin, Ting Liu, Ji-Rong Wen. Improving Web Search Ranking by Incorporating Structured Annotation of Queries. In Proc. EMNLP 2013 (Long Paper, accept rate = 27%). [PDF]
- Xiao Ding, Bing Qin, Ting Liu. Building Chinese Event Type Paradigm Based on Trigger Clustering. In Proc. IJCNLP 2013 (Long Paper, accept rate = 23.4%). [PDF] [Demo]
学术报告
- 社会媒体处理前沿综述. [Slides] 2019年第十八届中国计算语言学大会前沿技术综述
- 事理图谱构建及应用. [Slides] 2019年第八届全国社会媒体处理大会青年精英科学家报告
- 基于增强学习的股市涨跌预测技术. [Slides] 2018年第七届全国社会媒体处理大会智能金融论坛
- 基于社会媒体的消费意图挖掘. [Slides] 2016年中文信息学会社会媒体处理专委会“计算社会学”前沿论坛特邀报告
学术服务
- 中文信息学会社会媒体处理专委会秘书、常务委员;中文信息学会语言与知识计算专委会委员;中文信息学会青年工作委员会委员;
- 期刊审稿人:CL, TKDE, TOIS, TNNLS, TIST,IPM, KBS,Big Data Research,中国科学
- 会议审稿人:ACL, AAAI, IJCAI, WWW, EMNLP等
兴趣爱好
联系方式
- E-mail:xding at ir dot hit dot edu dot cn
- 通信地址:哈尔滨工业大学科创大厦,150001
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Created on 09/09/2009 by Xding
Updated on
by Xding
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