Haotian Wang

According to our database, Haotian Wang authored at least 56 papers between 2018 and 2026.

Collaborative distances:

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

2026

Beyond Rational Illusion: Behaviorally Realistic Strategic Classification.

Xinpeng Lv, Yunxin Mao, Renzhe Xu, Chunyuan Zheng, Yikai Chen, Haoxuan Li, Yang Shi, Jinxuan Yang, Zhouchen Lin, Yuanlong Chen, Yuanxing Zhang, Shaowu Yang, Wenjing Yang, Haotian Wang

CoRR, May, 2026

When Tabular Foundation Models Meet Strategic Tabular Data: A Prior Alignment Approach.

Xinpeng Lv, Yunxin Mao, Renzhe Xu, Chunyuan Zheng, Yikai Chen, Haoxuan Li, Jinxuan Yang, Kun Kuang, Yuanlong Chen, Mingyang Geng, Wanrong Huang, Shixuan Liu, Shaowu Yang, Wenjing Yang, Zhouchen Lin, Haotian Wang

CoRR, May, 2026

Artifact-Bench: Evaluating MLLMs on Detecting and Assessing the Artifacts of AI-Generated Videos.

Yuqi Tang, Yang Shi, Zhuoran Zhang, Qixun Wang, Xuehai Bai, Yue Ding, Ruizhe Chen, Bohan Zeng, Xinlong Chen, Xuanyu Zhu, Bozhou Li, Yuran Wang, Yifan Dai, Chengzhuo Tong, Xinyu Liu, Yiyan Ji, Yujie Wei, Yuhao Dong, Shilin Yan, Fengxiang Wang, Yifan Zhang, Haotian Wang, Yuanxing Zhang, Pengfei Wan

CoRR, May, 2026

FD-TE Diagnosis: Enhancing Microservice Fault Diagnosis With Frequency Domain Features and Centrality-Aware Time Encoding.

Mingyu Liu, Yangfan Li, Haotian Wang, Minglong Li, Fengxiao Tang, Wenjing Yang

IEEE Trans. Reliab., 2026

Mitigating sensitive information leakage in LLMs4Code through machine unlearning.

Shanzhi Gu, Zhaoyang Qu, Ruotong Geng, Mingyang Geng, Shangwen Wang, Chuanfu Xu, Haotian Wang, Zhipeng Lin, Dezun Dong

Neural Networks, 2026

FedPuzzle: Federated causal discovery from distributed heterogeneous variable sets.

Yiyao Li, Yeting Guo, Ligong Cao, Haotian Wang, Long Lan

Inf. Sci., 2026

Invariant Learning on Heterogeneous Graphs via Subgraph Environment Inference.

Yanghui Fu, Yunfei Wang, Hao Zou, Yue He, Haotian Wang, Qing Cheng, Guangquan Cheng, Shixuan Liu

Proceedings of the ACM Web Conference 2026, 2026

Conflict-Aware Memory for Embodied Agents: Enhancing Vector Data Quality via Detection Rules.

Kexin Ma, Haotian Wang, Shenglin Chen, Yishuai Cai, Yu Huang, Ruochun Jin

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning.

Lingyuan Meng, Ke Liang, Hao Yu, Haotian Wang, Miaomiao Li, Xinwang Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents.

Xinpeng Lv, Chunyuan Zheng, Yunxin Mao, Renzhe Xu, Hao Zou, Shanzhi Gu, Liyang Xu, Huan Chen, Yuanlong Chen, Wenjing Yang, Haotian Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Attention to Threat-Relevant Objects: Reasoning Detection in Autonomous Driving via Multimodal Large Language Models.

Yulin He, Wei Chen, Xinbiao Gan, Siqi Wang, Haotian Wang, Yusong Tan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Failure Localization in Multi-Agent Code Generation via Knowledge-Guided and Transferable Reasoning.

Mingyang Geng, Shanzhi Gu, Zhipeng Liu, Chuanfu Xu, Zhaoyang Qu, Haotian Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Detecting Unobserved Confounders: A Kernelized Regression Approach.

Yikai Chen, Yunxin Mao, Chunyuan Zheng, Hao Zou, Shanzhi Gu, Shixuan Liu, Yang Shi, Wenjing Yang, Kun Kuang, Haotian Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification.

Xinpeng Lv, Yunxin Mao, Haoxuan Li, Ke Liang, Jinxuan Yang, Wanrong Huang, Haoang Chi, Huan Chen, Long Lan, Yuanlong Chen, Wenjing Yang, Haotian Wang

CoRR, November, 2025

When Modalities Conflict: How Unimodal Reasoning Uncertainty Governs Preference Dynamics in MLLMs.

Zhuoran Zhang, Tengyue Wang, Xilin Gong, Yang Shi, Haotian Wang, Di Wang, Lijie Hu

CoRR, November, 2025

OpenGPT-4o-Image: A Comprehensive Dataset for Advanced Image Generation and Editing.

Zhihong Chen, Xuehai Bai, Yang Shi, Chaoyou Fu, Huanyu Zhang, Haotian Wang, Xiaoyan Sun, Zhang Zhang, Liang Wang, Yuanxing Zhang, Pengfei Wan, Yifan Zhang

CoRR, September, 2025

RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark.

Yang Shi, Yuhao Dong, Yue Ding, Yuran Wang, Xuanyu Zhu, Sheng Zhou, Wenting Liu, Haochen Tian, Rundong Wang, Huanqian Wang, Zuyan Liu, Bohan Zeng, Ruizhe Chen, Qixun Wang, Zhuoran Zhang, Xinlong Chen, Chengzhuo Tong, Bozhou Li, Chaoyou Fu, Qiang Liu, Haotian Wang, Wenjing Yang, Yuanxing Zhang, Pengfei Wan, Yifan Zhang, Ziwei Liu

CoRR, September, 2025

BaseReward: A Strong Baseline for Multimodal Reward Model.

Yifan Zhang, Haihua Yang, Huanyu Zhang, Yang Shi, Zezhou Chen, Haochen Tian, Chaoyou Fu, Kai Wu, Bo Cui, Xu Wang, Jianfei Pan, Haotian Wang, Zhang Zhang, Liang Wang

CoRR, September, 2025

MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios.

Yang Shi, Huanqian Wang, Wulin Xie, Huanyao Zhang, Lijie Zhao, Yifan Zhang, Xinfeng Li, Chaoyou Fu, Zhuoer Wen, Wenting Liu, Zhuoran Zhang, Xinlong Chen, Bohan Zeng, Sihan Yang, Yuanxing Zhang, Pengfei Wan, Haotian Wang, Wenjing Yang

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

Advanced Strategic Improvement with Decision Interactions.

Wenjing Yang, Xinpeng Lv, Yunxin Mao, Liyang Xu, Ruochun Jin, Huan Chen, Jing Ren, Jinxuan Yang, Yuanlong Chen, Haotian Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios.

Yang Shi, Huanqian Wang, Wulin Xie, Huanyao Zhang, Lijie Zhao, Yifan Zhang, Xinfeng Li, Chaoyou Fu, Zhuoer Wen, Wenting Liu, Zhuoran Zhang, Xinlong Chen, Bohan Zeng, Sihan Yang, Yushuo Guan, Zhang Zhang, Liang Wang, Haoxuan Li, Zhouchen Lin, Yuanxing Zhang, Pengfei Wan, Haotian Wang, Wenjing Yang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Environment Inference for Learning Generalizable Dynamical System.

Shixuan Liu, Yue He, Haotian Wang, Wenjing Yang, Yunfei Wang, Peng Cui, Zhong Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

PDMC: Generating Feasible Algorithmic Recourse via Perturbation Data Manifold Constraint.

Zimu Wang, Hao Zou, Han Yu, Shaohua Fan, Haotian Wang, Yue He, Peng Cui

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning.

Hao Wang, Zhichao Chen, Haotian Wang, Yanchao Tan, Pan Li, Tianqiao Liu, Xu Chen, Haoxuan Li, Zhouchen Lin

Proceedings of the Forty-second International Conference on Machine Learning, 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

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