Haotian Wang

According to our database, Haotian Wang authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Out-of-Distribution Generalization With Causal Feature Separation.

Haotian Wang, Kun Kuang, Long Lan, Zige Wang, Wanrong Huang, Fei Wu, Wenjing Yang

IEEE Trans. Knowl. Data Eng., April, 2024

PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators.

Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui

CoRR, 2024

Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning.

Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Scaling Few-Shot Learning for the Open World.

Zhipeng Lin, Wenjing Yang, Haotian Wang, Haoang Chi, Long Lan, Ji Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Stable Prediction With Leveraging Seed Variable.

Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li

IEEE Trans. Knowl. Data Eng., June, 2023

An Empirical Study on Using Large Language Models for Multi-Intent Comment Generation.

Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao

CoRR, 2023

Treatment Effect Estimation with Adjustment Feature Selection.

Haotian Wang, Kun Kuang, Haoang Chi, Longqi Yang, Mingyang Geng, Wanrong Huang, Wenjing Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Interpretation-based Code Summarization.

Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Shaomeng Cao, Kechi Zhang, Zhi Jin

Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

Competing for Shareable Arms in Multi-Player Multi-Armed Bandits.

Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui

Proceedings of the International Conference on Machine Learning, 2023

Domain Specified Optimization for Deployment Authorization.

Haotian Wang, Haoang Chi, Wenjing Yang, Zhipeng Lin, Mingyang Geng, Long Lan, Jing Zhang, Dacheng Tao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Factual Observation Based Heterogeneity Learning for Counterfactual Prediction.

Hao Zou, Haotian Wang, Renzhe Xu, Bo Li, Jian Pei, Ye Jun Jian, Peng Cui

Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022

Estimating Individualized Causal Effect with Confounded Instruments.

Haotian Wang, Wenjing Yang, Longqi Yang, Anpeng Wu, Liyang Xu, Jing Ren, Fei Wu, Kun Kuang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020

An effective few-shot learning approach via location-dependent partial differential equation.

Haotian Wang, Zhenyu Zhao, Yuhua Tang

Knowl. Inf. Syst., 2020

Pairwise Similarity Regularization for Adversarial Domain Adaptation.

Haotian Wang, Wenjing Yang, Ji Wang, Ruxin Wang, Long Lan, Mingyang Geng

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Adversarial Mixup Synthesis Training for Unsupervised Domain Adaptation.

Yuhua Tang, Zhipeng Lin, Haotian Wang, Liyang Xu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Cauchy sparse NMF with manifold regularization: A robust method for hyperspectral unmixing.

Haotian Wang, Wenjing Yang, Naiyang Guan

Knowl. Based Syst., 2019

Rademacher dropout: An adaptive dropout for deep neural network via optimizing generalization gap.

Haotian Wang, Wenjing Yang, Zhenyu Zhao, Tingjin Luo, Ji Wang, Yuhua Tang

Neurocomputing, 2019

TMDA: Task-Specific Multi-source Domain Adaptation via Clustering Embedded Adversarial Training.

Haotian Wang, Wenjing Yang, Zhipeng Lin, Yue Yu

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Multi-feature Fusion for Deep Reinforcement Learning: Sequential Control of Mobile Robots.

Haotian Wang, Wenjing Yang, Wanrong Huang, Zhipeng Lin, Yuhua Tang

Proceedings of the Neural Information Processing - 25th International Conference, 2018

MulAttenRec: A Multi-level Attention-Based Model for Recommendation.

Zhipeng Lin, Wenjing Yang, Yongjun Zhang, Haotian Wang, Yuhua Tang

Proceedings of the Neural Information Processing - 25th International Conference, 2018