Xiao Ding

164 papers A* 16B 5C 1Misc 1Journal 100Unranked 41
YearRankTypeTitle / Venue / Authors
2026 J jnl
AutoTool: Automatic Scaling of Tool-Use Capabilities in RL via Decoupled Entropy Constraints.
CoRR
Yirong Zeng, Xiao Ding, Yufei Liu, Yuxian Wang, Qunyao Du, Yutai Hou, Wu Ning, Haonan Song, Duyu Tang, Dandan Tu, Bing Qin, Ting Liu
2026 J jnl
Community Detection and Hyperlink Prediction in Multilayer Hypergraphs.
IEEE Trans. Comput. Soc. Syst.
Huan Wang, Jia-Le Zhao, Xiao Ding, Haifeng Zhang
2026 J jnl
Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration.
CoRR
Yang Zhao, Yangou Ouyang, Xiao Ding, Hepeng Wang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu
2026 J jnl
DeSnow-GNN: Spatiotemporal graph neural network for robust LiDAR point cloud denoising in adverse weather.
Adv. Eng. Informatics
Lezhi Liao, Xiao Ding, Kun Zhu, Liang Mei, Haiyan Ou
2026 J jnl
Human cognitive process aligned rumor detection with small language models enhanced large language models.
Inf. Process. Manag.
Yirong Zeng, Xiao Ding, Bibo Cai, Bing Qin, Ting Liu
2026 J jnl
MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization.
CoRR
Yang Zhao, Hepeng Wang, Xiao Ding, Yangou Ouyang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu
2026 J jnl
Necessary and sufficient knowledge enhanced collaborative logical reasoning in LLMs.
Neural Networks
Peng Wang, Xiao Ding, Kai Xiong, Bing Qin, Ting Liu
2026 J jnl
Precision over Diversity: High-Precision Reward Generalizes to Robust Instruction Following.
CoRR
Yirong Zeng, Yufei Liu, Xiao Ding, Yutai Hou, Yuxian Wang, Haonan Song, Wu Ning, Dandan Tu, Qixun Zhang, Bibo Cai, Yuxiang He, Ting Liu
2025 J jnl
A Universal Physics-Informed Neural Network Framework for Predicting Network Dynamics: From Lower-Order to Higher-Order.
IEEE Trans. Knowl. Data Eng.
Xiao Ding, Xingyi Zhang, Haifeng Zhang
2025 — conf
Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns.
ACL (1)
Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2025 J jnl
Benchmarking and Pushing the Multi-Bias Elimination Boundary of LLMs via Causal Effect Estimation-guided Debiasing.
CoRR
Zhouhao Sun, Zhiyuan Kan, Xiao Ding, Li Du, Yang Zhao, Bing Qin, Ting Liu
2025 — conf
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection.
ACL (1)
Yang Zhao, Li Du, Xiao Ding, Yangou Ouyang, Hepeng Wang, Kai Xiong, Jinglong Gao, Zhouhao Sun, Dongliang Xu, Qing Yang, Dongchen Li, Bing Qin, Ting Liu
2025 J jnl
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection.
CoRR
Yang Zhao, Li Du, Xiao Ding, Yangou Ouyang, Hepeng Wang, Kai Xiong, Jinglong Gao, Zhouhao Sun, Dongliang Xu, Qing Yang, Dongchen Li, Bing Qin, Ting Liu
2025 J jnl
Boosting Tool Use of Large Language Models via Iterative Reinforced Fine-Tuning.
CoRR
Yirong Zeng, Xiao Ding, Yuxian Wang, Weiwen Liu, Wu Ning, Yutai Hou, Xu Huang, Bing Qin, Ting Liu
2025 J jnl
Brain and Cognitive Science Inspired Deep Learning: A Comprehensive Survey.
IEEE Trans. Knowl. Data Eng.
Zihan Zhang, Xiao Ding, Xia Liang, Yusheng Zhou, Bing Qin, Ting Liu
2025 Misc conf
Bridging Neural and Symbolic Reasoning: A Dual-System Framework for Interpretable Question Answering.
ICASSP
Jihao Shi, Xiao Ding, Hengwei Zhao, Ting Liu, Bing Qin
2025 J jnl
Com
CoRR
Kai Xiong, Xiao Ding, Yixin Cao, Yuxiong Yan, Li Du, Yufei Zhang, Jinglong Gao, Jiaqian Liu, Bing Qin, Ting Liu
2025 — conf
Com² : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models.
ACL (1)
Kai Xiong, Xiao Ding, Yixin Cao, Yuxiong Yan, Li Du, Yufei Zhang, Jinglong Gao, Jiaqian Liu, Bing Qin, Ting Liu
2025 J jnl
CrossICL: Cross-Task In-Context Learning via Unsupervised Demonstration Transfer.
CoRR
Jinglong Gao, Xiao Ding, Lingxiao Zou, Bing Qin, Ting Liu
2025 J jnl
Enhancing Graph Structure Learning via Motif-Driven Hypergraph Construction.
IEEE Trans. Netw. Sci. Eng.
Jia-Le Zhao, Xian-Jie Zhang, Xiao Ding, Xingyi Zhang, Haifeng Zhang
2025 — conf
ExpeTrans: LLMs Are Experiential Transfer Learners.
ACL (1)
Jinglong Gao, Xiao Ding, Lingxiao Zou, Bibo Cai, Bing Qin, Ting Liu
2025 J jnl
ExpeTrans: LLMs Are Experiential Transfer Learners.
CoRR
Jinglong Gao, Xiao Ding, Lingxiao Zou, Bibo Cai, Bing Qin, Ting Liu
2025 — conf
Exploring Large Language Models for Effective Rumor Detection on Social Media.
NAACL (Long Papers)
Yirong Zeng, Xiao Ding, Bibo Cai, Ting Liu, Bing Qin
2025 J jnl
Final: Combining First-Order Logic With Natural Logic for Question Answering.
IEEE Trans. Knowl. Data Eng.
Jihao Shi, Xiao Ding, Siu Cheung Hui, Yuxiong Yan, Hengwei Zhao, Ting Liu, Bing Qin
2025 J jnl
Influenza virus reassortment patterns exhibit preference and continuity while uncovering cross-species transmission events.
Briefings Bioinform.
Xiao Ding, Yun Ma, Shicheng Li, Jingze Liu, Luyao Qin, Aiping Wu
2025 J jnl
Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models.
CoRR
Zhouhao Sun, Xiao Ding, Li Du, Yunpeng Xu, Yixuan Ma, Yang Zhao, Bing Qin, Ting Liu
2025 — conf
Natural Logic at the Core: Dynamic Rewards for Entailment Tree Generation.
ACL (Findings)
Jihao Shi, Xiao Ding, Kai Xiong, Hengwei Zhao, Bing Qin, Ting Liu
2025 J jnl
Self-Route: Automatic Mode Switching via Capability Estimation for Efficient Reasoning.
CoRR
Yang He, Xiao Ding, Bibo Cai, Yufei Zhang, Kai Xiong, Zhouhao Sun, Bing Qin, Ting Liu
2025 J jnl
Think straight or think again? Continual joint learning of deduction, abduction and induction.
Neural Networks
Kai Xiong, Xiao Ding, Yixin Cao, Yang Zhao, Ting Liu, Bing Qin
2025 — conf
Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch.
EMNLP (Findings)
Yirong Zeng, Xiao Ding, Yutai Hou, Yuxian Wang, Li Du, Juyi Dai, Qiuyang Ding, Duyu Tang, Dandan Tu, Weiwen Liu, Bing Qin, Ting Liu
2025 J jnl
Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch.
CoRR
Yirong Zeng, Xiao Ding, Yutai Hou, Yuxian Wang, Li Du, Juyi Dai, Qiuyang Ding, Duyu Tang, Dandan Tu, Weiwen Liu, Bing Qin, Ting Liu
2025 A* conf
Towards Transferable Personality Representation Learning based on Triplet Comparisons and Its Applications.
EMNLP
Kai Tang, Rui Wang, Renyu Zhu, Minmin Lin, Xiao Ding, Tangjie Lv, Changjie Fan, Runze Wu, Haobo Wang
2025 J jnl
UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection.
CoRR
Yang Zhao, Kai Xiong, Xiao Ding, Li Du, YangouOuyang, Zhouhao Sun, Jiannan Guan, Wenbin Zhang, Bin Liu, Dong Hu, Bing Qin, Ting Liu
2025 A* conf
iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use.
EMNLP
Yirong Zeng, Xiao Ding, Yuxian Wang, Weiwen Liu, Yutai Hou, Wu Ning, Xu Huang, Duyu Tang, Dandan Tu, Bing Qin, Ting Liu
2025 J jnl
x-ECON: Explainable Event-Consumption Commonsense Reasoning.
IEEE Trans. Big Data
Xiao Ding, Bibo Cai, Xue Li, Ting Liu, Bing Qin
2024 J jnl
A Dual-Polarized Multi-Wideband Ceiling Antenna With Eight-Diagram Shape for 2G/3G/LTE/5G Sub-6 GHz Indoor Applications.
IEEE Access
Botao Feng, Siyuan Qi, Xiao Ding, Xingxing Yang, Chow-Yen-Desmond Sim
2024 J jnl
A Dual-Polarized Wideband Parabolic Reflector Antenna With High Aperture Efficiency and Low Sidelobe Level for L/S-Band Satellite Communications.
IEEE Access
Xiao Ding, Xingxing Yang, Botao Feng, Chow-Yen-Desmond Sim, Sulin Wu, Kwok L. Chung
2024 J jnl
An Aperture-Shared Vehicular Antenna With Large Frequency Ratio and Pattern Diversity for Future 5G Millimeter-Wave and DSRC Applications.
IEEE Trans. Veh. Technol.
Botao Feng, Haoming Li, Liwei Rao, Xiao Ding, Chow-Yen-Desmond Sim, Kwok L. Chung
2024 J jnl
AttenhERG: a reliable and interpretable graph neural network framework for predicting hERG channel blockers.
J. Cheminformatics
Tianbiao Yang, Xiaoyu Ding, Elizabeth McMichael, Frank W. Pun, Alex Aliper, Feng Ren, Alex Zhavoronkov, Xiao Ding
2024 — conf
Causal-Guided Active Learning for Debiasing Large Language Models.
ACL (1)
Zhouhao Sun, Li Du, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin
2024 J jnl
Causal-Guided Active Learning for Debiasing Large Language Models.
CoRR
Li Du, Zhouhao Sun, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin
2024 J jnl
Collaborative Cross-Network Embedding Framework for Network Alignment.
IEEE Trans. Netw. Sci. Eng.
Haifeng Zhang, Guojing Ren, Xiao Ding, Li Zhou, Xing-yi Zhang
2024 — conf
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning.
ACL (Findings)
Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Shi Jun, Ting Liu, Bing Qin
2024 J jnl
Deciphering the lmpact of Pretraining Data on Large Language Models through Machine Unlearning.
CoRR
Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Jun Shi, Ting Liu, Bing Qin
2024 J jnl
Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning.
CoRR
Kai Xiong, Xiao Ding, Li Du, Jiahao Ying, Ting Liu, Bing Qin, Yixin Cao
2024 J jnl
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination.
IEEE Trans. Multim.
Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Minji Tang, Li Du, Bing Qin, Ting Liu
2024 J jnl
Dual nature of cyber-physical power systems and the mitigation strategies.
Reliab. Eng. Syst. Saf.
Xiao Ding, Huan Wang, Xi Zhang, Chuang Ma, Haifeng Zhang
2024 J jnl
Dual-Polarized Wide-Beam Antenna Array With Stable High Gain for WiFi-6E (U-NII 6-GHz) Communications.
IEEE Access
Xiao Ding, Liwei Rao, Botao Feng, Chow-Yen-Desmond Sim
2024 J jnl
Dual-Wideband Structure-Reused Antenna With Diverse Radiation and Polarization Features for Vehicular Wireless Communications.
IEEE Trans. Veh. Technol.
You-Feng Cheng, Qian Chen, Lin Peng, Cheng Liao, Xiao Ding
2024 — conf
Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion.
NLPCC (4)
Jinglong Gao, Chen Lu, Xiao Ding, Zhongyang Li, Ting Liu, Bing Qin
2024 J jnl
Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion.
CoRR
Jinglong Gao, Chen Lu, Xiao Ding, Zhongyang Li, Ting Liu, Bing Qin
2024 J jnl
Event Causality Identification via Competitive-Cooperative Cognition Networks.
Knowl. Based Syst.
Jinglong Gao, Xiao Ding, Zhongyang Li, Ting Liu, Bing Qin
2024 J jnl
Extracting Higher Order Topological Semantic via Motif-Based Deep Graph Neural Networks.
IEEE Trans. Comput. Soc. Syst.
Kejia Zhang, Xiao Ding, Bing-Bing Xiang, Hai-Feng Zhang, Zhongkui Bao
2024 J jnl
Give us the Facts: Enhancing Large Language Models With Knowledge Graphs for Fact-Aware Language Modeling.
IEEE Trans. Knowl. Data Eng.
Linyao Yang, Hongyang Chen, Zhao Li, Xiao Ding, Xindong Wu
2024 — conf
Learning Geometry-Aware Representations for New Intent Discovery.
ACL (1)
Kai Tang, Junbo Zhao, Xiao Ding, Runze Wu, Lei Feng, Gang Chen, Haobo Wang
2024 A* conf
Link Prediction in Multilayer Networks via Cross-Network Embedding.
AAAI
Guojing Ren, Xiao Ding, Xiao-Ke Xu, Hai-Feng Zhang
2024 J jnl
Meaningful Learning: Advancing Abstract Reasoning in Large Language Models via Generic Fact Guidance.
CoRR
Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao
2024 A* conf
Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance.
NeurIPS
Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao
2024 — conf
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey.
ACL (Findings)
Lin Long, Rui Wang, Ruixuan Xiao, Junbo Zhao, Xiao Ding, Gang Chen, Haobo Wang
2024 J jnl
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey.
CoRR
Lin Long, Rui Wang, Ruixuan Xiao, Junbo Zhao, Xiao Ding, Gang Chen, Haobo Wang
2024 J jnl
Quantum Computing-Enhanced Algorithm Unveils Novel Inhibitors for KRAS.
CoRR
Mohammad Ghazi Vakili, Christoph Gorgulla, AkshatKumar Nigam, Dmitry Bezrukov, Daniel Varoli, Alex Aliper, Daniil Polykovskiy, Krishna M. Padmanabha Das, Jamie Snider, Anna Lyakisheva, Ardalan Hosseini Mansob, Zhong Yao, Lela Bitar, Eugene Radchenko, Xiao Ding, Jinxin Liu, Fanye Meng, Feng Ren, Yudong Cao, Igor Stagljar, Alán Aspuru-Guzik, Alex Zhavoronkov
2024 — conf
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict.
LREC/COLING
Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin
2024 J jnl
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict.
CoRR
Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin
2024 J jnl
Reasoning subevent relation over heterogeneous event graph.
Knowl. Inf. Syst.
Tingting Wu, Xiao Ding, Li Du, Bing Qin, Ting Liu
2024 — conf
Research on Access Channel Control of Electric Power Marketing Service System Based on Multi Factor Identity Authentication Protocol.
ICMLCA
Xiao Ding
2024 — conf
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner.
ACL (1)
Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin
2024 J jnl
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner.
CoRR
Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin
2024 J jnl
Supervised Fine-Tuning: An Activation Pattern Optimization Process for Attention Heads.
CoRR
Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2024 J jnl
Text Difficulty Study: Do Machines Behave the Same as Humans Regarding Text Difficulty?
Mach. Intell. Res.
Bowen Chen, Xiao Ding, Yi Zhao, Bo Fu, Tingmao Lin, Bing Qin, Ting Liu
2024 — conf
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation.
LREC/COLING
Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin
2024 J jnl
Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation.
CoRR
Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin
2024 J jnl
Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement.
Neural Networks
Tingting Wu, Xiao Ding, Hao Zhang, Minji Tang, Bing Qin, Ting Liu
2024 J jnl
User Identification Across Multiple Social Networks Based on Naive Bayes Model.
IEEE Trans. Neural Networks Learn. Syst.
Xiao Ding, Haifeng Zhang, Chuang Ma, Xingyi Zhang, Kai Zhong
2023 J jnl
A Compact Vehicle-Mounted Garden-Themed Artistic Antenna With Isolation Improvement for 2G/3G/LTE/5G Sub-6-GHz/WiFi/Bluetooth Communications.
IEEE Trans. Veh. Technol.
Botao Feng, Baifa Yang, Chow-Yen-Desmond Sim, Li Deng, Zhengdong Zhou, Xiao Ding
2023 C conf
A Decentralized Collaborative Scheduling Method for Multiple Microgrids Considering Electricity Market.
iSPEC
Xiao Ding, Chengying Jiang
2023 J jnl
A Flexible Monitoring Framework via Dynamic-Multilayer Graph Convolution Network.
IEEE Trans. Instrum. Meas.
Xian-Jie Zhang, Xiao Ding, Haifeng Zhang, Donghui Pan, Kai Zhong
2023 J jnl
A Three-Dimensional ResNet and Transformer-Based Approach to Anomaly Detection in Multivariate Temporal-Spatial Data.
Entropy
Lijuan Xu, Xiao Ding, Dawei Zhao, Alex X. Liu, Zhen Zhang
2023 J jnl
ADTCD: An Adaptive Anomaly Detection Approach Toward Concept Drift in IoT.
IEEE Internet Things J.
Lijuan Xu, Xiao Ding, Haipeng Peng, Dawei Zhao, Xin Li
2023 J jnl
ChatGPT is not Enough: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling.
CoRR
Linyao Yang, Hongyang Chen, Zhao Li, Xiao Ding, Xindong Wu
2023 — conf
Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate.
EMNLP (Findings)
Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin
2023 J jnl
Examining the Inter-Consistency of Large Language Models: An In-depth Analysis via Debate.
CoRR
Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin
2023 J jnl
Hamate classification method based on feature-enhanced residual network and probabilistic joint judgment.
IET Image Process.
Weilong Ding, Ze-yong Zong, Xiao Ding, Keji Mao
2023 — conf
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation.
EMNLP (Findings)
Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu
2023 J jnl
Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation.
CoRR
Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu
2023 — conf
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing.
ACL (Findings)
Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu
2023 J jnl
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing.
CoRR
Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu
2023 J jnl
SMPC-Ranking: A Privacy-Preserving Method on Identifying Influential Nodes in Multiple Private Networks.
IEEE Trans. Syst. Man Cybern. Syst.
Wen Hu, Xin Xia, Xiao Ding, Xingyi Zhang, Kai Zhong, Haifeng Zhang
2023 A* conf
Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning.
AAAI
Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang
2023 J jnl
Shared-Metasurface Antenna With Diverse Reflection, Radiation and Polarization Characteristics for Vehicular Communications.
IEEE Trans. Veh. Technol.
You-Feng Cheng, Ying-Xi Wang, Jia-Li Zhong, Cheng Liao, Xiao Ding
2023 — conf
Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing.
ACL (1)
Li Du, Xiao Ding, Zhouhao Sun, Ting Liu, Bing Qin, Jingshuo Liu
2022 — conf
A Graph Enhanced BERT Model for Event Prediction.
ACL (Findings)
Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin
2022 J jnl
A Graph Enhanced BERT Model for Event Prediction.
CoRR
Li Du, Xiao Ding, Yue Zhang, Kai Xiong, Ting Liu, Bing Qin
2022 J jnl
AlphaFold Accelerates Artificial Intelligence Powered Drug Discovery: Efficient Discovery of a Novel Cyclin-dependent Kinase 20 (CDK20) Small Molecule Inhibitor.
CoRR
Feng Ren, Xiao Ding, Min Zheng, Mikhail Korzinkin, Xin Cai, Wei Zhu, Alexey Mantsyzov, Alex Aliper, Vladimir Aladinskiy, Zhongying Cao, Shanshan Kong, Xi Long, Bonnie Hei Man Liu, Yingtao Liu, Vladimir Naumov, Anastasia Shneyderman, Ivan V. Ozerov, Ju Wang, Frank W. Pun, Alán Aspuru-Guzik, Michael Levitt, Alex Zhavoronkov
2022 — conf
CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning.
CCKS
Yirong Zeng, Xiao Ding, Li Du, Ting Liu, Bing Qin
2022 B conf
CogBERT: Cognition-Guided Pre-trained Language Models.
COLING
Xiao Ding, Bowen Chen, Li Du, Bing Qin, Ting Liu
2022 J jnl
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination.
CoRR
Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Li Du, Bing Qin, Ting Liu
2022 J jnl
Enhancing pretrained language models with structured commonsense knowledge for textual inference.
Knowl. Based Syst.
Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2022 A* conf
Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic.
AAAI
Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu
2022 A* conf
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks.
EMNLP
Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin, Yi Zheng, Baoxing Huai
2022 J jnl
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks.
CoRR
Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Bing Qin, Yi Zheng, Baoxing Huai
2022 J jnl
SOIDP: Predicting Interlayer Links in Multiplex Networks.
IEEE Trans. Comput. Soc. Syst.
Xiao Ding, Chuang Ma, Xingyi Zhang, Han-Shuang Chen, Hai-Feng Zhang
2022 A* conf
STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing.
EMNLP
Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu
2022 J jnl
Text Difficulty Study: Do machines behave the same as humans regarding text difficulty?
CoRR
Bowen Chen, Xiao Ding, Li Du, Bing Qin, Ting Liu
2022 — conf
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning.
ACL (1)
Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2022 J jnl
e-CARE: a New Dataset for Exploring Explainable Causal Reasoning.
CoRR
Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2021 — conf
An Iterative Ensemble Transform Kalman Filter Based on the Smoothing and the Filtering Steps.
ICCAIS
Li Chen, Xiao Ding, Dunbiao Niu, Zhujun Cao, Enbin Song
2021 J jnl
CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision.
CoRR
Zhongyang Li, Xiao Ding, Kuo Liao, Ting Liu, Bing Qin
2021 J jnl
Co-mutation modules capture the evolution and transmission patterns of SARS-CoV-2.
Briefings Bioinform.
Luyao Qin, Xiao Ding, Yongjie Li, Qingfeng Chen, Jing Meng, Taijiao Jiang
2021 — conf
ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning.
ACL/IJCNLP (1)
Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin
2021 J jnl
Guided Generation of Cause and Effect.
CoRR
Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme
2021 J jnl
Heterogeneous graph knowledge enhanced stock market prediction.
AI Open
Kai Xiong, Xiao Ding, Li Du, Ting Liu, Bing Qin
2021 — conf
Learning Event Graph Knowledge for Abductive Reasoning.
ACL/IJCNLP (1)
Li Du, Xiao Ding, Ting Liu, Bing Qin
2021 — conf
Neural Natural Logic Inference for Interpretable Question Answering.
EMNLP (1)
Jihao Shi, Xiao Ding, Li Du, Ting Liu, Bing Qin
2021 J jnl
Quantifying the effects of long-term news on stock markets on the basis of the multikernel Hawkes process.
Sci. China Inf. Sci.
Xiao Ding, Jihao Shi, Junwen Duan, Bing Qin, Ting Liu
2021 J jnl
TransBERT: A Three-Stage Pre-training Technology for Story-Ending Prediction.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Zhongyang Li, Xiao Ding, Ting Liu
2020 J jnl
A Computer Model for Simulating the Bicycle Rider's Behavior in a Virtual Riding System.
KSII Trans. Internet Inf. Syst.
Weilong Ding, Xiao Ding, Kai Chen, Zang-xin Wan, Yan Xu, Yuanjing Feng
2020 J jnl
A Wide-Band Self-Complementary Tightly-Coupled Dipole Array With ±80° Scanning Range in the E Plane.
IEEE Access
Changhai Hu, Bing-Zhong Wang, Bin Feng Sun, Ren Wang, Shaoqiu Xiao, San-Qiang Tong, Xiao Ding
2020 J jnl
BOLD3D: A 3D BOLD descriptor for 6Dof pose estimation.
Comput. Graph.
Jun Zhou, Yuanpeng Liu, Jinshan Liu, Qian Xie, Yuqi Zhang, Xusheng Zhu, Xiao Ding
2020 J jnl
Dual-Wideband High-Gain Fabry-Perot Cavity Antenna.
IEEE Access
Yan-He Lv, Xiao Ding, Bing-Zhong Wang
2020 J jnl
FluReassort: a database for the study of genomic reassortments among influenza viruses.
Briefings Bioinform.
Xiao Ding, Xuye Yuan, Longfei Mao, Aiping Wu, Taijiao Jiang
2020 A* conf
Guided Generation of Cause and Effect.
IJCAI
Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme
2020 — conf
HIT-SCIR at SemEval-2020 Task 5: Training Pre-trained Language Model with Pseudo-labeling Data for Counterfactuals Detection.
SemEval@COLING
Xiao Ding, Dingkui Hao, Yuewei Zhang, Kuo Liao, Zhongyang Li, Bing Qin, Ting Liu
2019 J jnl
A High-Gain Sparse Phased Array With Wide-Angle Scanning Performance and Low Sidelobe Levels.
IEEE Access
You-Feng Cheng, Xiao Ding, Wei Shao, Cheng Liao
2019 J jnl
A Novel Ultra-High-Speed Traveling-Wave Protection Principle for VSC-based DC Grids.
IEEE Access
Xiangyu Pei, Hui Pang, Yunfeng Li, Longlong Chen, Xiao Ding, Guangfu Tang
2019 J jnl
ELG: An Event Logic Graph.
CoRR
Xiao Ding, Zhongyang Li, Ting Liu, Kuo Liao
2019 — conf
Evaluating CNNs for Military Target Recognition.
ICIC (2)
Xiao Ding, Lei Xing, Tao Lin, Jiabao Wang, Yang Li, Zhuang Miao
2019 — conf
Event Representation Learning Enhanced with External Commonsense Knowledge.
EMNLP/IJCNLP (1)
Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li, Junwen Duan
2019 J jnl
Event Representation Learning Enhanced with External Commonsense Knowledge.
CoRR
Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li, Junwen Duan
2019 J jnl
Learning Multi-Domain Adversarial Neural Networks for Text Classification.
IEEE Access
Xiao Ding, Qiankun Shi, Bibo Cai, Ting Liu, Yanyan Zhao, Qiang Ye
2019 — conf
Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder.
EMNLP/IJCNLP (1)
Li Du, Xiao Ding, Ting Liu, Zhongyang Li
2019 J jnl
Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder.
CoRR
Li Du, Xiao Ding, Ting Liu, Zhongyang Li
2019 J jnl
Parametric Modeling of Microwave Components Based on Semi-Supervised Learning.
IEEE Access
Liye Xiao, Wei Shao, Xiao Ding, Bing-Zhong Wang, William T. Joines, Qing Huo Liu
2019 A* conf
Story Ending Prediction by Transferable BERT.
IJCAI
Zhongyang Li, Xiao Ding, Ting Liu
2019 J jnl
Story Ending Prediction by Transferable BERT.
CoRR
Zhongyang Li, Xiao Ding, Ting Liu
2019 J jnl
TEND: A Target-Dependent Representation Learning Framework for News Document.
IEEE ACM Trans. Audio Speech Lang. Process.
Junwen Duan, Xiao Ding, Yue Zhang, Ting Liu
2019 — conf
Towards Long Duration Self-Sustainable Ocean Sampling System.
RCAR
Jiafan Hou, Yibing Dong, Xiao Ding, Hengli Liu, Huihuan Qian, Zhenglong Sun
2019 — conf
Wing Sail Land-yacht Modeling And System Verification.
ROBIO
Yibing Dong, Xiao Ding, Zhijun Li, Lianxin Zhang, Hengli Liu, Ning Ding, Zhenglong Sun, Huihuan Qian
2018 A* conf
Constructing Narrative Event Evolutionary Graph for Script Event Prediction.
IJCAI
Zhongyang Li, Xiao Ding, Ting Liu
2018 J jnl
Constructing Narrative Event Evolutionary Graph for Script Event Prediction.
CoRR
Zhongyang Li, Xiao Ding, Ting Liu
2018 A* conf
Domain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification.
IJCAI
Xiao Ding, Bibo Cai, Ting Liu, Qiankun Shi
2018 B conf
Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training.
COLING
Zhongyang Li, Xiao Ding, Ting Liu
2018 — conf
Learning Sentence Representations over Tree Structures for Target-Dependent Classification.
NAACL-HLT
Junwen Duan, Xiao Ding, Ting Liu
2018 — conf
Learning Target-Dependent Sentence Representations for Chinese Event Detection.
CCIR
Wenbo Zhang, Xiao Ding, Ting Liu
2018 B conf
Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction.
COLING
Junwen Duan, Yue Zhang, Xiao Ding, Ching-Yun Chang, Ting Liu
2018 J jnl
Optimizing Software Development Requirements based on Dependency Relations.
J. Inf. Hiding Multim. Signal Process.
Zhixiang Tong, Xiaohong Su, Xiao Ding, Jiaxin Lin
2017 J jnl
A Gaussian copula regression model for movie box-office revenues prediction.
Sci. China Inf. Sci.
Junwen Duan, Xiao Ding, Ting Liu
2017 — conf
Benben: A Chinese Intelligent Conversational Robot.
ACL (System Demonstrations)
Weinan Zhang, Ting Liu, Bing Qin, Yu Zhang, Wanxiang Che, Yanyan Zhao, Xiao Ding
2017 — conf
EEG: Knowledge Base for Event Evolutionary Principles and Patterns.
SMP
Zhongyang Li, Sendong Zhao, Xiao Ding, Ting Liu
2016 J jnl
A General Framework for Content-enhanced Network Representation Learning.
CoRR
Xiaofei Sun, Jiang Guo, Xiao Ding, Ting Liu
2016 J jnl
Compact Reconfigurable Antenna with an Omnidirectional Pattern and Four Directional Patterns for Wireless Sensor Systems.
Sensors
Ren Wang, Bing-Zhong Wang, Wei-Ying Huang, Xiao Ding
2016 B conf
Knowledge-Driven Event Embedding for Stock Prediction.
COLING
Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan
2016 J jnl
Predicting movie Box-office revenues by exploiting large-scale social media content.
Multim. Tools Appl.
Ting Liu, Xiao Ding, Yiheng Chen, Haochen Chen, Maosheng Guo
2015 — conf
A Gaussian Copula Regression Model for Movie Box-office Revenue Prediction with Social Media.
SMP
Junwen Duan, Xiao Ding, Ting Liu
2015 J jnl
BUEES: a bottom-up event extraction system.
Frontiers Inf. Technol. Electron. Eng.
Xiao Ding, Bing Qin, Ting Liu
2015 J jnl
DectICO: an alignment-free supervised metagenomic classification method based on feature extraction and dynamic selection.
BMC Bioinform.
Xiao Ding, Fudong Cheng, Chang-Chang Cao, Xiao Sun
2015 A* conf
Deep Learning for Event-Driven Stock Prediction.
IJCAI
Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan
2015 J jnl
Mining Intention-Related Products on Online Q&A Community.
J. Comput. Sci. Technol.
Junwen Duan, Yiheng Chen, Ting Liu, Xiao Ding
2015 A* conf
Mining User Consumption Intention from Social Media Using Domain Adaptive Convolutional Neural Network.
AAAI
Xiao Ding, Ting Liu, Junwen Duan, Jian-Yun Nie
2014 — conf
Gender Identification on Social Media.
SMP
Xiaofei Sun, Xiao Ding, Ting Liu
2014 — conf
Mining Intention-Related Products on Online Q&A Community.
SMP
Junwen Duan, Xiao Ding, Ting Liu
2014 A* conf
Using Structured Events to Predict Stock Price Movement: An Empirical Investigation.
EMNLP
Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan
2013 B conf
Building Chinese Event Type Paradigm Based on Trigger Clustering.
IJCNLP
Xiao Ding, Bing Qin, Ting Liu
2013 A* conf
Improving Web Search Ranking by Incorporating Structured Annotation of Queries.
EMNLP
Xiao Ding, Zhicheng Dou, Bing Qin, Ting Liu, Ji-Rong Wen
2010 — conf
A DNA algorithm for maximal matching problem.
BIC-TA
Xiao Ding, Zhixiang Yin, Yong Wang