Haoran Tang

According to our database, Haoran Tang authored at least 40 papers between 2016 and 2025.

Collaborative distances:

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

2025

Global and local hypergraph learning method with semantic enhancement for POI recommendation.

Jun Zeng, Hongjin Tao, Haoran Tang, Junhao Wen, Min Gao

Inf. Process. Manag., 2025

2024

MUSE: Mamba is Efficient Multi-scale Learner for Text-video Retrieval.

Haoran Tang, Meng Cao, Jinfa Huang, Ruyang Liu, Peng Jin, Ge Li, Xiaodan Liang

CoRR, 2024

Why does in-context learning fail sometimes? Evaluating in-context learning on open and closed questions.

Xiang Li, Haoran Tang, Siyu Chen, Ziwei Wang, Ryan Chen, Marcin Abram

CoRR, 2024

Expert-Guided Extinction of Toxic Tokens for Debiased Generation.

Xueyao Sun, Kaize Shi, Haoran Tang, Guandong Xu, Qing Li

CoRR, 2024

Surgment: Segmentation-enabled Semantic Search and Creation of Visual Question and Feedback to Support Video-Based Surgery Learning.

Jingying Wang, Haoran Tang, Taylor Kantor, Tandis Soltani, Vitaliy Popov, Xu Wang

CoRR, 2024

Bi-directional Interaction and Dense Aggregation Network for RGB-D Salient Object Detection.

Kang Yi, Haoran Tang, Hongyu Bai, Yinjie Wang, Jing Xu, Ping Li

Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach.

Yicong Li, Yu Yang, Jiannong Cao, Shuaiqi Liu, Haoran Tang, Guandong Xu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ST-LLM: Large Language Models Are Effective Temporal Learners.

Ruyang Liu, Chen Li, Haoran Tang, Yixiao Ge, Ying Shan, Ge Li

Proceedings of the Computer Vision - ECCV 2024, 2024

Surgment: Segmentation-enabled Semantic Search and Creation of Visual Question and Feedback to Support Video-Based Surgery Learning.

Jingying Wang, Haoran Tang, Taylor Kantor, Tandis Soltani, Vitaliy Popov, Xu Wang

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter.

Meng Cao, Haoran Tang, Jinfa Huang, Peng Jin, Can Zhang, Ruyang Liu, Long Chen, Xiaodan Liang, Li Yuan, Ge Li

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

2023

Neu-PCM: Neural-based potential correlation mining for POI recommendation.

Jun Zeng, Haoran Tang, Yizhu Zhao, Junhao Wen

Appl. Intell., May, 2023

Non-Local Means De-Speckling Based on Multi-Directional Local Plane Inclination Angle.

Fengcheng Guo, Haoran Tang, Wensong Liu

Remote. Sens., February, 2023

Context Matters: Data-Efficient Augmentation of Large Language Models for Scientific Applications.

Xiang Li, Haoran Tang, Siyu Chen, Ziwei Wang, Anurag Maravi, Marcin Abram

CoRR, 2023

Retrieving Conditions from Reference Images for Diffusion Models.

Haoran Tang, Xin Zhou, Jieren Deng, Zhihong Pan, Hao Tian, Pratik Chaudhari

CoRR, 2023

Weighted Joint Maximum Mean Discrepancy Enabled Multi-Source-Multi-Target Unsupervised Domain Adaptation Fault Diagnosis.

Zixuan Wang, Haoran Tang, Haibo Wang, Bo Qin, Mark D. Butala, Weiming Shen, Hongwei Wang

CoRR, 2023

Dynamic Graph Evolution Learning for Recommendation.

Haoran Tang, Shiqing Wu, Guandong Xu, Qing Li

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study.

Yuanyi Zhong, Haoran Tang, Jun-Kun Chen, Yu-Xiong Wang

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

A Novel Encoder-Decoder Architecture for Table Border Segmentation of Scanned Documents.

Kaihong Yan, Haoran Tang, Jian Zhang, Peng Peng, Hongwei Wang

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022

An ensemble deep neural network approach for predicting TOC concentration in lakes along the middle-lower reaches of Yangtze River.

Hai Guo, Yifan Song, Haoran Tang, Jing-ying Zhao

J. Intell. Fuzzy Syst., 2022

WEKA-Based: Key Features and Classifier for French of Five Countries.

Zeqian Li, Keyu Qiu, Chenxu Jiao, Wen Zhu, Haoran Tang

CoRR, 2022

HashEncoding: Autoencoding with Multiscale Coordinate Hashing.

Lukas Zhornyak, Zhengjie Xu, Haoran Tang, Jianbo Shi

CoRR, 2022

Is Self-Supervised Learning More Robust Than Supervised Learning?

Yuanyi Zhong, Haoran Tang, Junkun Chen, Jian Peng, Yu-Xiong Wang

CoRR, 2022

Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation.

Changwei Xu, Jianfei Yang, Haoran Tang, Han Zou, Cheng Lu, Tianshuo Zhang

CoRR, 2022

A Framework for Handwritten Date Recognition in Quality Documents.

Haoran Tang, Jian Zhang, Kaihong Yan, Gaoang Wang, Hongwei Wang

Proceedings of the IEEE International Conference on e-Business Engineering, 2022

Signature Detection, Restoration, and Verification: A Novel Chinese Document Signature Forgery Detection Benchmark.

Kaihong Yan, Ying Zhang, Haoran Tang, Chengkai Ren, Jian Zhang, Gaoang Wang, Hongwei Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Experimental research on the colour interpolation algorithm of the full colour image.

Haoran Tang, Zhuoyang Wang, Jianhui Yang, Sichen Zhou

Proceedings of the International Conference on Computers, 2022

2021

PR-RCUC: A POI Recommendation Model Using Region-Based Collaborative Filtering and User-Based Mobile Context.

Jun Zeng, Haoran Tang, Yizhu Zhao, Min Gao, Junhao Wen

Mob. Networks Appl., 2021

Predicting the next location: A self-attention and recurrent neural network model with temporal context.

Jun Zeng, Xin He, Haoran Tang, Junhao Wen

Trans. Emerg. Telecommun. Technol., 2021

Bi-Adversarial Discrepancy Minimization for Unsupervised Domain Adaptation on 3D Point Cloud.

Haoran Tang, Changwei Xu, Jianfei Yang

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence.

Jun Zeng, Haoran Tang, Junhao Wen

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Bagging of Gaussian Process for Large Generator Eddy Current Prediction.

Jing-ying Zhao, Min Han, Hai Guo, Haoran Tang, Na Dong, Enming Zhao

Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

RCFC: A Region-Based POI Recommendation Model with Collaborative Filtering and User Context.

Jun Zeng, Haoran Tang, Xin He

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

2019

Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?

Ofir Nachum, Haoran Tang, Xingyu Lu, Shixiang Gu, Honglak Lee, Sergey Levine

CoRR, 2019

A Deep Learning Model Based on Sparse Matrix for Point-of-Interest Recommendation.

Jun Zeng, Haoran Tang, Yinghua Li, Xin He

Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

Predict the Next Location From Trajectory Based on Spatiotemporal Sequence.

Jun Zeng, Haoran Tang, Yingbo Wu, Ling Liu, Sachio Hirokawa

Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

A Next Location Predicting Approach Based on a Recurrent Neural Network and Self-attention.

Jun Zeng, Xin He, Haoran Tang, Junhao Wen

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019

2018

Modular Architecture for StarCraft II with Deep Reinforcement Learning.

Dennis Lee, Haoran Tang, Jeffrey O. Zhang, Huazhe Xu, Trevor Darrell, Pieter Abbeel

Proceedings of the Fourteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2018

2017

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning.

Haoran Tang, Rein Houthooft, Davis Foote, Adam Stooke, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Reinforcement Learning with Deep Energy-Based Policies.

Tuomas Haarnoja, Haoran Tang, Pieter Abbeel, Sergey Levine

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Convolutional neural networks at the interface of physical and digital data.

Daniela Ushizima, Chao Yang, Singanallur V. Venkatakrishnan, Flávio H. D. Araújo, Romuere Rôdrigues Veloso e Silva, Haoran Tang, Joao Vitor Mascarenhas, Alexander Hexemer, Dilworth Parkinson, James A. Sethian

Proceedings of the 2016 IEEE Applied Imagery Pattern Recognition Workshop, 2016