Haoran Tang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 43

Top Topics

Interpolation Algorithm

Forgery Detection

Reinforcement Learning

Top Venues

Publications

Yicong Li, Yu Yang, Jiannong Cao, Shuaiqi Liu, Haoran Tang, Guandong Xu
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach. CoRR (2024)
Jingying Wang, Haoran Tang, Taylor Kantor, Tandis Soltani, Vitaliy Popov, Xu Wang
Surgment: Segmentation-enabled Semantic Search and Creation of Visual Question and Feedback to Support Video-Based Surgery Learning. CoRR (2024)
Jingying Wang, Haoran Tang, Taylor Kantor, Tandis Soltani, Vitaliy Popov, Xu Wang
Surgment: Segmentation-enabled Semantic Search and Creation of Visual Question and Feedback to Support Video-Based Surgery Learning. CHI (2024)
Xueyao Sun, Kaize Shi, Haoran Tang, Guandong Xu, Qing Li
Expert-Guided Extinction of Toxic Tokens for Debiased Generation. CoRR (2024)
Yicong Li, Yu Yang, Jiannong Cao, Shuaiqi Liu, Haoran Tang, Guandong Xu
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach. KDD (2024)
Meng Cao, Haoran Tang, Jinfa Huang, Peng Jin, Can Zhang, Ruyang Liu, Long Chen, Xiaodan Liang, Li Yuan, Ge Li
RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter. ACL (Findings) (2024)
Xiang Li, Haoran Tang, Siyu Chen, Ziwei Wang, Ryan Chen, Marcin Abram
Why does in-context learning fail sometimes? Evaluating in-context learning on open and closed questions. CoRR (2024)
Kang Yi, Haoran Tang, Hongyu Bai, Yinjie Wang, Jing Xu, Ping Li
Bi-directional Interaction and Dense Aggregation Network for RGB-D Salient Object Detection. MMM (1) (2024)
Ruyang Liu, Chen Li, Haoran Tang, Yixiao Ge, Ying Shan, Ge Li
ST-LLM: Large Language Models Are Effective Temporal Learners. CoRR (2024)
Meng Cao, Haoran Tang, Jinfa Huang, Peng Jin, Can Zhang, Ruyang Liu, Long Chen, Xiaodan Liang, Li Yuan, Ge Li
RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter. CoRR (2024)
Zixuan Wang, Haoran Tang, Haibo Wang, Bo Qin, Mark D. Butala, Weiming Shen, Hongwei Wang
Weighted Joint Maximum Mean Discrepancy Enabled Multi-Source-Multi-Target Unsupervised Domain Adaptation Fault Diagnosis. CoRR (2023)
Haoran Tang, Shiqing Wu, Guandong Xu, Qing Li
Dynamic Graph Evolution Learning for Recommendation. SIGIR (2023)
Haoran Tang, Xin Zhou, Jieren Deng, Zhihong Pan, Hao Tian, Pratik Chaudhari
Retrieving Conditions from Reference Images for Diffusion Models. CoRR (2023)
Kaihong Yan, Haoran Tang, Jian Zhang, Peng Peng, Hongwei Wang
A Novel Encoder-Decoder Architecture for Table Border Segmentation of Scanned Documents. CSCWD (2023)
Yuanyi Zhong, Haoran Tang, Jun-Kun Chen, Yu-Xiong Wang
Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study. ICCV (2023)
Fengcheng Guo, Haoran Tang, Wensong Liu
Non-Local Means De-Speckling Based on Multi-Directional Local Plane Inclination Angle. Remote. Sens. 15 (4) (2023)
Xiang Li, Haoran Tang, Siyu Chen, Ziwei Wang, Anurag Maravi, Marcin Abram
Context Matters: Data-Efficient Augmentation of Large Language Models for Scientific Applications. CoRR (2023)
Jun Zeng, Haoran Tang, Yizhu Zhao, Junhao Wen
Neu-PCM: Neural-based potential correlation mining for POI recommendation. Appl. Intell. 53 (9) (2023)
Changwei Xu, Jianfei Yang, Haoran Tang, Han Zou, Cheng Lu, Tianshuo Zhang
Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation. CoRR (2022)
Zeqian Li, Keyu Qiu, Chenxu Jiao, Wen Zhu, Haoran Tang
WEKA-Based: Key Features and Classifier for French of Five Countries. CoRR (2022)
Haoran Tang, Zhuoyang Wang, Jianhui Yang, Sichen Zhou
Experimental research on the colour interpolation algorithm of the full colour image. CIPAE (2022)
Lukas Zhornyak, Zhengjie Xu, Haoran Tang, Jianbo Shi
HashEncoding: Autoencoding with Multiscale Coordinate Hashing. CoRR (2022)
Yuanyi Zhong, Haoran Tang, Junkun Chen, Jian Peng, Yu-Xiong Wang
Is Self-Supervised Learning More Robust Than Supervised Learning? CoRR (2022)
Haoran Tang, Jian Zhang, Kaihong Yan, Gaoang Wang, Hongwei Wang
A Framework for Handwritten Date Recognition in Quality Documents. ICEBE (2022)
Hai Guo, Yifan Song, Haoran Tang, Jing-ying Zhao
An ensemble deep neural network approach for predicting TOC concentration in lakes along the middle-lower reaches of Yangtze River. J. Intell. Fuzzy Syst. 42 (3) (2022)
Kaihong Yan, Ying Zhang, Haoran Tang, Chengkai Ren, Jian Zhang, Gaoang Wang, Hongwei Wang
Signature Detection, Restoration, and Verification: A Novel Chinese Document Signature Forgery Detection Benchmark. CVPR Workshops (2022)
Haoran Tang, Changwei Xu, Jianfei Yang
Bi-Adversarial Discrepancy Minimization for Unsupervised Domain Adaptation on 3D Point Cloud. IJCNN (2021)
Jun Zeng, Xin He, Haoran Tang, Junhao Wen
Predicting the next location: A self-attention and recurrent neural network model with temporal context. Trans. Emerg. Telecommun. Technol. 32 (6) (2021)
Jun Zeng, Haoran Tang, Yizhu Zhao, Min Gao, Junhao Wen
PR-RCUC: A POI Recommendation Model Using Region-Based Collaborative Filtering and User-Based Mobile Context. Mob. Networks Appl. 26 (6) (2021)
Jun Zeng, Haoran Tang, Xin He
RCFC: A Region-Based POI Recommendation Model with Collaborative Filtering and User Context. CollaborateCom (1) (2020)
Jing-ying Zhao, Min Han, Hai Guo, Haoran Tang, Na Dong, Enming Zhao
Bagging of Gaussian Process for Large Generator Eddy Current Prediction. ICACI (2020)
Jun Zeng, Haoran Tang, Junhao Wen
DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence. ICONIP (3) (2020)
Jun Zeng, Haoran Tang, Yingbo Wu, Ling Liu, Sachio Hirokawa
Predict the Next Location From Trajectory Based on Spatiotemporal Sequence. IIAI-AAI (2019)
Jun Zeng, Haoran Tang, Yinghua Li, Xin He
A Deep Learning Model Based on Sparse Matrix for Point-of-Interest Recommendation. SEKE (2019)
Jun Zeng, Xin He, Haoran Tang, Junhao Wen
A Next Location Predicting Approach Based on a Recurrent Neural Network and Self-attention. CollaborateCom (2019)
Ofir Nachum, Haoran Tang, Xingyu Lu, Shixiang Gu, Honglak Lee, Sergey Levine
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning? CoRR (2019)
Dennis Lee, Haoran Tang, Jeffrey O. Zhang, Huazhe Xu, Trevor Darrell, Pieter Abbeel
Modular Architecture for StarCraft II with Deep Reinforcement Learning. CoRR (2018)
Dennis Lee, Haoran Tang, Jeffrey O. Zhang, Huazhe Xu, Trevor Darrell, Pieter Abbeel
Modular Architecture for StarCraft II with Deep Reinforcement Learning. AIIDE (2018)
Haoran Tang, Rein Houthooft, Davis Foote, Adam Stooke, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning. NIPS (2017)
Tuomas Haarnoja, Haoran Tang, Pieter Abbeel, Sergey Levine
Reinforcement Learning with Deep Energy-Based Policies. CoRR (2017)
Tuomas Haarnoja, Haoran Tang, Pieter Abbeel, Sergey Levine
Reinforcement Learning with Deep Energy-Based Policies. ICML (2017)
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
Convolutional neural networks at the interface of physical and digital data. AIPR (2016)
Haoran Tang, Rein Houthooft, Davis Foote, Adam Stooke, Xi Chen, Yan Duan, John Schulman, Filip De Turck, Pieter Abbeel
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning. CoRR (2016)