Haotian Wang

According to our database, Haotian Wang authored at least 32 papers between 2018 and 2025.

Collaborative distances:

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

2025

GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution.

Fengxiang Wang, Mingshuo Chen, Yueying Li, Di Wang, Haotian Wang, Zonghao Guo, Zefan Wang, Boqi Shan, Long Lan, Yulin Wang, Hongzhen Wang, Wenjing Yang, Bo Du, Jing Zhang

CoRR, May, 2025

GGF: Global Geometric Feature for Rotation-Invariant Point Cloud Understanding.

Yunzhe Xiao, Fu Li, Haotian Wang, Shaowu Yang

J. Comput. Sci. Technol., March, 2025

Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning.

Ruotong Geng, Mingyang Geng, Shangwen Wang, Haotian Wang, Zhipeng Lin, Dezun Dong

CoRR, February, 2025

Learning Feasible Causal Algorithmic Recourse: A Prior Structural Knowledge Free Approach.

Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Wenjing Yang, Peng Cui

Proceedings of the ACM on Web Conference 2025, 2025

Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models.

Haotian Wang, Haoxuan Li, Hao Zou, Haoang Chi, Long Lan, Wanrong Huang, Wenjing Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Automated Exposure Mapping for Networked Interference.

Yunxin Mao, Haotian Wang, Yishuai Cai, Minglong Li, Ji Wang, Wenjing Yang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Text-Guided Multi-Class Multi-Object Tracking for Fine-Grained Maritime Rescue.

Shuman Li, Zhipeng Lin, Haotian Wang, Wenjing Yang, Hengzhu Liu

Remote. Sens., October, 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

Your Neighbor Matters: Towards Fair Decisions Under Networked Interference.

Wenjing Yang, Haotian Wang, Haoxuan Li, Hao Zou, Ruochun Jin, Kun Kuang, Peng Cui

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Learning Feasible Causal Algorithmic Recourse without Prior Structure.

Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Long Lan, Wenjing Yang, Peng Cui

Proceedings of the IEEE International Conference on Data Mining, 2024

Modality Re-Balance for Visual Question Answering: A Causal Framework.

Xinpeng Lv, Wanrong Huang, Haotian Wang, Ruochun Jin, Xueqiong Li, Zhipeng Lin, Shuman Li, Yongquan Feng, Yuhua Tang

Proceedings of the IEEE International Conference on Acoustics, 2024

Diversifying Cross-Domain Few-Shot Learning via Multimodal Image Editing.

Zhipeng Lin, Wenjing Yang, Long Lan, Mingyang Geng, Haotian Wang, Haoang Chi, Xueqiong Li, Ji Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs.

Kexin Ma, Ruochun Jin, Haotian Wang, Xi Wang, Huan Chen, Yuhua Tang, Qian Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 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