Haotian Wang - RankMe

54 papers A* 18A 1Misc 4Journal 23Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Attention to Threat-Relevant Objects: Reasoning Detection in Autonomous Driving via Multimodal Large Language Models. AAAI Yulin He, Wei Chen, Xinbiao Gan, Siqi Wang, Haotian Wang, Yusong Tan
2026	A*	`conf`	Detecting Unobserved Confounders: A Kernelized Regression Approach. AAAI Yikai Chen, Yunxin Mao, Chunyuan Zheng, Hao Zou, Shanzhi Gu, Shixuan Liu, Yang Shi, Wenjing Yang, Kun Kuang, Haotian Wang
2026	J	`jnl`	Detecting Unobserved Confounders: A Kernelized Regression Approach. CoRR Yikai Chen, Yunxin Mao, Chunyuan Zheng, Hao Zou, Shanzhi Gu, Shixuan Liu, Yang Shi, Wenjing Yang, Kun Kuang, Haotian Wang
2026	J	`jnl`	FD-TE Diagnosis: Enhancing Microservice Fault Diagnosis With Frequency Domain Features and Centrality-Aware Time Encoding. IEEE Trans. Reliab. Mingyu Liu, Yangfan Li, Haotian Wang, Minglong Li, Fengxiao Tang, Wenjing Yang
2026	A*	`conf`	Failure Localization in Multi-Agent Code Generation via Knowledge-Guided and Transferable Reasoning. AAAI Mingyang Geng, Shanzhi Gu, Zhipeng Liu, Chuanfu Xu, Zhaoyang Qu, Haotian Wang
2026	J	`jnl`	FedPuzzle: Federated causal discovery from distributed heterogeneous variable sets. Inf. Sci. Yiyao Li, Yeting Guo, Ligong Cao, Haotian Wang, Long Lan
2026	A*	`conf`	Invariant Learning on Heterogeneous Graphs via Subgraph Environment Inference. WWW Yanghui Fu, Yunfei Wang, Hao Zou, Yue He, Haotian Wang, Qing Cheng, Guangquan Cheng, Shixuan Liu
2026	A*	`conf`	Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning. AAAI Lingyuan Meng, Ke Liang, Hao Yu, Haotian Wang, Miaomiao Li, Xinwang Liu
2026	J	`jnl`	Mitigating sensitive information leakage in LLMs4Code through machine unlearning. Neural Networks Shanzhi Gu, Zhaoyang Qu, Ruotong Geng, Mingyang Geng, Shangwen Wang, Chuanfu Xu, Haotian Wang, Zhipeng Lin, Dezun Dong
2026	A*	`conf`	Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents. AAAI Xinpeng Lv, Chunyuan Zheng, Yunxin Mao, Renzhe Xu, Hao Zou, Shanzhi Gu, Liyang Xu, Huan Chen, Yuanlong Chen, Wenjing Yang, Haotian Wang
2025	—	`conf`	Advanced Strategic Improvement with Decision Interactions. ECML/PKDD (1) Wenjing Yang, Xinpeng Lv, Yunxin Mao, Liyang Xu, Ruochun Jin, Huan Chen, Jing Ren, Jinxuan Yang, Yuanlong Chen, Haotian Wang
2025	Misc	`conf`	Automated Exposure Mapping for Networked Interference. ICASSP Yunxin Mao, Haotian Wang, Yishuai Cai, Minglong Li, Ji Wang, Wenjing Yang
2025	J	`jnl`	BaseReward: A Strong Baseline for Multimodal Reward Model. CoRR 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
2025	J	`jnl`	Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification. CoRR Xinpeng Lv, Yunxin Mao, Haoxuan Li, Ke Liang, Jinxuan Yang, Wanrong Huang, Haoang Chi, Huan Chen, Long Lan, Yuanlong Chen, Wenjing Yang, Haotian Wang
2025	A*	`conf`	Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models. ICLR Haotian Wang, Haoxuan Li, Hao Zou, Haoang Chi, Long Lan, Wanrong Huang, Wenjing Yang
2025	J	`jnl`	Environment Inference for Learning Generalizable Dynamical System. CoRR Shixuan Liu, Yue He, Haotian Wang, Wenjing Yang, Yunfei Wang, Peng Cui, Zhong Liu
2025	J	`jnl`	GGF: Global Geometric Feature for Rotation-Invariant Point Cloud Understanding. J. Comput. Sci. Technol. Yunzhe Xiao, Fu Li, Haotian Wang, Shaowu Yang
2025	J	`jnl`	GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution. CoRR 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
2025	A*	`conf`	Learning Feasible Causal Algorithmic Recourse: A Prior Structural Knowledge Free Approach. WWW Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Wenjing Yang, Peng Cui
2025	J	`jnl`	MME-VideoOCR: Evaluating OCR-Based Capabilities of Multimodal LLMs in Video Scenarios. CoRR 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
2025	J	`jnl`	Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning. CoRR Ruotong Geng, Mingyang Geng, Shangwen Wang, Haotian Wang, Zhipeng Lin, Dezun Dong
2025	J	`jnl`	OpenGPT-4o-Image: A Comprehensive Dataset for Advanced Image Generation and Editing. CoRR Zhihong Chen, Xuehai Bai, Yang Shi, Chaoyou Fu, Huanyu Zhang, Haotian Wang, Xiaoyan Sun, Zhang Zhang, Liang Wang, Yuanxing Zhang, Pengfei Wan, Yifan Zhang
2025	—	`conf`	PDMC: Generating Feasible Algorithmic Recourse via Perturbation Data Manifold Constraint. KDD (2) Zimu Wang, Hao Zou, Han Yu, Shaohua Fan, Haotian Wang, Yue He, Peng Cui
2025	—	`conf`	PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators. KDD (2) Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
2025	J	`jnl`	RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark. CoRR 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
2025	A*	`conf`	Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning. ICML Hao Wang, Zhichao Chen, Haotian Wang, Yanchao Tan, Pan Li, Tianqiao Liu, Xu Chen, Haoxuan Li, Zhouchen Lin
2025	J	`jnl`	When Modalities Conflict: How Unimodal Reasoning Uncertainty Governs Preference Dynamics in MLLMs. CoRR Zhuoran Zhang, Tengyue Wang, Xilin Gong, Yang Shi, Haotian Wang, Di Wang, Lijie Hu
2024	—	`conf`	Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs. EMNLP (Findings) Kexin Ma, Ruochun Jin, Haotian Wang, Xi Wang, Huan Chen, Yuhua Tang, Qian Wang
2024	Misc	`conf`	Diversifying Cross-Domain Few-Shot Learning via Multimodal Image Editing. ICASSP Zhipeng Lin, Wenjing Yang, Long Lan, Mingyang Geng, Haotian Wang, Haoang Chi, Xueqiong Li, Ji Wang
2024	A*	`conf`	Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning. ICSE Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao
2024	—	`conf`	Learning Feasible Causal Algorithmic Recourse without Prior Structure. ICDM (Workshops) Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Long Lan, Wenjing Yang, Peng Cui
2024	Misc	`conf`	Modality Re-Balance for Visual Question Answering: A Causal Framework. ICASSP Xinpeng Lv, Wanrong Huang, Haotian Wang, Ruochun Jin, Xueqiong Li, Zhipeng Lin, Shuman Li, Yongquan Feng, Yuhua Tang
2024	J	`jnl`	Out-of-Distribution Generalization With Causal Feature Separation. IEEE Trans. Knowl. Data Eng. Haotian Wang, Kun Kuang, Long Lan, Zige Wang, Wanrong Huang, Fei Wu, Wenjing Yang
2024	J	`jnl`	PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators. CoRR Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
2024	A*	`conf`	Scaling Few-Shot Learning for the Open World. AAAI Zhipeng Lin, Wenjing Yang, Haotian Wang, Haoang Chi, Long Lan, Ji Wang
2024	J	`jnl`	Text-Guided Multi-Class Multi-Object Tracking for Fine-Grained Maritime Rescue. Remote. Sens. Shuman Li, Zhipeng Lin, Haotian Wang, Wenjing Yang, Hengzhu Liu
2024	A*	`conf`	Your Neighbor Matters: Towards Fair Decisions Under Networked Interference. KDD Wenjing Yang, Haotian Wang, Haoxuan Li, Hao Zou, Ruochun Jin, Kun Kuang, Peng Cui
2023	J	`jnl`	An Empirical Study on Using Large Language Models for Multi-Intent Comment Generation. CoRR Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao
2023	A*	`conf`	Competing for Shareable Arms in Multi-Player Multi-Armed Bandits. ICML Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
2023	J	`jnl`	Competing for Shareable Arms in Multi-Player Multi-Armed Bandits. CoRR Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui
2023	A*	`conf`	Domain Specified Optimization for Deployment Authorization. ICCV Haotian Wang, Haoang Chi, Wenjing Yang, Zhipeng Lin, Mingyang Geng, Long Lan, Jing Zhang, Dacheng Tao
2023	—	`conf`	Factual Observation Based Heterogeneity Learning for Counterfactual Prediction. CLeaR Hao Zou, Haotian Wang, Renzhe Xu, Bo Li, Jian Pei, Ye Jun Jian, Peng Cui
2023	A	`conf`	Interpretation-based Code Summarization. ICPC Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Shaomeng Cao, Kechi Zhang, Zhi Jin
2023	J	`jnl`	Stable Prediction With Leveraging Seed Variable. IEEE Trans. Knowl. Data Eng. Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li
2023	A*	`conf`	Treatment Effect Estimation with Adjustment Feature Selection. KDD Haotian Wang, Kun Kuang, Haoang Chi, Longqi Yang, Mingyang Geng, Wanrong Huang, Wenjing Yang
2022	A*	`conf`	Estimating Individualized Causal Effect with Confounded Instruments. KDD Haotian Wang, Wenjing Yang, Longqi Yang, Anpeng Wu, Liyang Xu, Jing Ren, Fei Wu, Kun Kuang
2020	Misc	`conf`	Adversarial Mixup Synthesis Training for Unsupervised Domain Adaptation. ICASSP Yuhua Tang, Zhipeng Lin, Haotian Wang, Liyang Xu
2020	J	`jnl`	An effective few-shot learning approach via location-dependent partial differential equation. Knowl. Inf. Syst. Haotian Wang, Zhenyu Zhao, Yuhua Tang
2020	A*	`conf`	Pairwise Similarity Regularization for Adversarial Domain Adaptation. ACM Multimedia Haotian Wang, Wenjing Yang, Ji Wang, Ruxin Wang, Long Lan, Mingyang Geng
2019	J	`jnl`	Cauchy sparse NMF with manifold regularization: A robust method for hyperspectral unmixing. Knowl. Based Syst. Haotian Wang, Wenjing Yang, Naiyang Guan
2019	J	`jnl`	Rademacher dropout: An adaptive dropout for deep neural network via optimizing generalization gap. Neurocomputing Haotian Wang, Wenjing Yang, Zhenyu Zhao, Tingjin Luo, Ji Wang, Yuhua Tang
2019	A*	`conf`	TMDA: Task-Specific Multi-source Domain Adaptation via Clustering Embedded Adversarial Training. ICDM Haotian Wang, Wenjing Yang, Zhipeng Lin, Yue Yu
2018	—	`conf`	MulAttenRec: A Multi-level Attention-Based Model for Recommendation. ICONIP (2) Zhipeng Lin, Wenjing Yang, Yongjun Zhang, Haotian Wang, Yuhua Tang
2018	—	`conf`	Multi-feature Fusion for Deep Reinforcement Learning: Sequential Control of Mobile Robots. ICONIP (7) Haotian Wang, Wenjing Yang, Wanrong Huang, Zhipeng Lin, Yuhua Tang