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ORCIDHaoran Tang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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- Haoran Tang 0001
![[0009-0005-0734-8370]](/%20https://reactormag.com/five-https-dblp.org/img/orcid-mark.12x12.png "0009-0005-0734-8370")
— Tsinghua University, Department of Mathematics, Beijing, China
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2020 – today
- 2026
[j22]Haoran Tang, Chunlei Li, Yang Yang, Tor Helleseth:
Odd-periodic low/zero ambiguity zone: Theoretical Bounds and Optimal Constructions. Cryptogr. Commun. 18(2): 329-346 (2026)- [j21]Bo Liu, Jun Zeng, Haoran Tang, Junhao Wen, Min Gao, Wei Zhou:
AGSRec: Mitigating popularity bias via attraction-aware graph and semantic enhancement for POI recommendations. Expert Syst. Appl. 301: 130298 (2026) - [j20]Lin Zhong, Jun Zeng, Ziwei Wang, Haoran Tang, Junhao Wen:
FedKG: Federated POI recommendation via generative knowledge distillation against spatial heterogeneity. Expert Syst. Appl. 304: 130652 (2026) - [j19]Sisi Luo, Jun Zeng, Yue Li, Lin Zhong, Haoran Tang, Junhao Wen:
FedLHSSG: A federated framework for POI recommendation using local hypergraph with shared spatial graph. Expert Syst. Appl. 330: 133106 (2026) - [j18]Lifang He, Kai Zhang, Yansong Xue, Xinyue Jia, Haoran Tang:
An RIS-aided reliable four-dimensional index modulation DCSK system. Phys. Commun. 76: 103128 (2026) - [j17]Meng Cao, Haoran Tang, Haoze Zhao, Mingfei Han, Ruyang Liu, Qiang Sun, Xiaojun Chang, Ian Reid, Xiaodan Liang:
Order from Chaos: Physical World Understanding from Glitchy Gameplay Videos. Trans. Mach. Learn. Res. 2026 (2026) - [c29]Meng Cao, Pengfei Hu, Yingyao Wang, Jihao Gu, Haoran Tang, Haoze Zhao, Chen Wang, Jiahua Dong, Wangbo Yu, Ge Zhang, Xiang Li, Ian Reid, Xiaodan Liang:
Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models. AAAI 2026: 2616-2624 - [c28]Haoran Tang, Meng Cao, Ruyang Liu, Xiaoxi Liang, Linglong Li, Ge Li, Xiaodan Liang:
Video Spatial Reasoning with Object-Centric 3D Rollout. AAAI 2026: 9395-9403 - [c27]Haoran Tang, Rui Han:
Loop-Free and Localized Fast Reroute in Underwater Ad Hoc Networks. ICACT 2026: 1-9 - [i32]Jiayu Ding, Haoran Tang, Ge Li:
Open-Vocabulary 3D Instruction Ambiguity Detection. CoRR abs/2601.05991 (2026) - [i31]Meng Cao, Haoran Tang, Haoze Zhao, Mingfei Han, Ruyang Liu, Qiang Sun, Xiaojun Chang, Ian Reid, Xiaodan Liang:
Order from Chaos: Physical World Understanding from Glitchy Gameplay Videos. CoRR abs/2601.16471 (2026) - [i30]Haoran Tang, Rajiv Khanna:
From Logits to Latents: Contrastive Representation Shaping for LLM Unlearning. CoRR abs/2601.22028 (2026) - [i29]Zhihong Cui, Haoran Tang, Tianyi Li, Yushuai Li, Peiyuan Guan, Amir Taherkordi, Tor Skeie:
C-TRAIL: A Commonsense World Framework for Trajectory Planning in Autonomous Driving. CoRR abs/2603.29908 (2026) - [i28]Hongbo Jin, Mingnan Zhu, Jingqi Tian, Xu Jiang, Zhongjing Du, Haoran Tang, Siyi Xie, Qiaoman Zhang, Jiayu Ding:
Context-CoT: Enhancing Context Learning via High-Quality Reasoning Synthesis. CoRR abs/2605.25354 (2026) - [i27]Hongbo Jin, Chi Wang, Haoran Tang, Zhongjing Du, Xu Jiang, Jingqi Tian, Qiaoman Zhang, Jiayu Ding:
ContextGuard: Structured Self-Auditing for Context Learning in Language Models. CoRR abs/2605.26827 (2026) - 2025
- [j16]Haoran Tang, Xueyao Sun, Shiqing Wu, Zhihong Cui, Guandong Xu, Qing Li:
DyBooster: Leveraging large language model as booster for dynamic recommendation. Expert Syst. Appl. 286: 128080 (2025) - [j15]Qingwu Fu, Jianxuan Zhou, Jiao Du, Kai Lin, Bowen Zhong, Haoran Tang, Yiting Chen:
Multimodal Medical Image Fusion With UNet-Based Multi-Scale Transformer Networks. Int. J. Imaging Syst. Technol. 35(5) (2025) - [j14]Jun Zeng, Hongjin Tao, Haoran Tang, Junhao Wen, Min Gao:
Global and local hypergraph learning method with semantic enhancement for POI recommendation. Inf. Process. Manag. 62(1): 103868 (2025) - [j13]Haoran Tang, Bo Wang, Xiaofei Zhou, Zhimin Han, Qiang Lv:
RGB-D image-based real-time pose estimation algorithm for mobile robots with rectangular body. Robotica 43(8): 3080-3093 (2025) - [j12]Kang Yi, Yumeng Li, Haoran Tang, Jing Xu:
Adaptive Depth Enhancement Network for RGB-D Salient Object Detection. IEEE Signal Process. Lett. 32: 176-180 (2025) - [j11]Haoran Tang, Shiqing Wu, Zhihong Cui, Yicong Li, Guandong Xu, Qing Li:
Model-Agnostic Dual-Side Online Fairness Learning for Dynamic Recommendation. IEEE Trans. Knowl. Data Eng. 37(5): 2727-2742 (2025) - [j10]Xueyao Sun, Kaize Shi, Haoran Tang, Dingxian Wang, Guandong Xu, Qing Li:
Educating Language Models as Promoters: Multi-Aspect Instruction Alignment With Self-Augmentation. IEEE Trans. Knowl. Data Eng. 37(8): 4564-4577 (2025) - [j9]Haoran Tang, Shiqing Wu, Xueyao Sun, Jun Zeng, Guandong Xu, Qing Li:
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation. ACM Trans. Inf. Syst. 43(1): 5:1-5:27 (2025) - [j8]Yinchen Pan, Jun Zeng, Ziwei Wang, Haoran Tang, Junhao Wen, Min Gao:
HGDRec:Next POI Recommendation Based on Hypergraph Neural Network and Diffusion Model. IEEE Trans. Serv. Comput. 18(3): 1445-1458 (2025) - [j7]Yue Li, Jun Zeng, Haoran Tang, Junhao Wen, Min Gao, Wei Zhou:
DMSDRec: Dynamic Structure-Aware Graph Masked Autoencoder and Spatiotemporal Diffusion for Next-POI Recommendation. IEEE Trans. Serv. Comput. 18(4): 2024-2037 (2025) - [j6]Xunan Dong, Jun Zeng, Lin Zhong, Haoran Tang, Junhao Wen, Min Gao:
FedHGS: A Federated Point-of-Interest Recommendation Method Based on Heterogeneous Graph Semantics. IEEE Trans. Serv. Comput. 18(6): 3780-3793 (2025) - [c26]Haoran Tang, Meng Cao, Jinfa Huang, Ruyang Liu, Peng Jin, Ge Li, Xiaodan Liang:
MUSE: Mamba Is Efficient Multi-scale Learner for Text-video Retrieval. AAAI 2025: 7238-7246 - [c25]Siyu Chen, Haoran Tang, Jinyuan Zhang, Ke Tang:
A Large Language Model-assisted Evolutionary Algorithm for Expensive Constrained Multi-objective Optimization. GECCO Companion 2025: 347-350 - [c24]Ruyang Liu, Shangkun Sun, Haoran Tang, Wei Gao, Ge Li:
Flow4Agent: Long-form Video Understanding via Motion Prior from Optical Flow. ICCV 2025: 23817-23827 - [c23]Xueyao Sun, Kaize Shi, Haoran Tang, Guandong Xu, Qing Li:
Expert-Guided Toxicity Filtration for Debiased Generation. PAKDD (4) 2025: 115-127 - [i26]Kang Yi, Haoran Tang, Yumeng Li, Jing Xu, Jun Zhang:
Dual Mutual Learning Network with Global-local Awareness for RGB-D Salient Object Detection. CoRR abs/2501.01648 (2025) - [i25]Meng Cao, Pengfei Hu, Yingyao Wang, Jihao Gu, Haoran Tang, Haoze Zhao, Jiahua Dong, Wangbo Yu, Ge Zhang, Ian Reid, Xiaodan Liang:
Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models. CoRR abs/2503.18923 (2025) - [i24]Haoran Tang, Rajiv Khanna:
Sharpness-Aware Machine Unlearning. CoRR abs/2506.13715 (2025) - [i23]Ruyang Liu, Shangkun Sun, Haoran Tang, Ge Li, Wei Gao:
Flow4Agent: Long-form Video Understanding via Motion Prior from Optical Flow. CoRR abs/2510.05836 (2025) - [i22]Haoran Tang, Meng Cao, Ruyang Liu, Xiaoxi Liang, Linglong Li, Ge Li, Xiaodan Liang:
Video Spatial Reasoning with Object-Centric 3D Rollout. CoRR abs/2511.13190 (2025) - [i21]Meng Cao, Haokun Lin, Haoyuan Li, Haoran Tang, Rongtao Xu, Dong An, Xue Liu, Ian Reid, Xiaodan Liang:
Seeing through Imagination: Learning Scene Geometry via Implicit Spatial World Modeling. CoRR abs/2512.01821 (2025) - 2024
- [c22]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: 7160-7174 - [c21]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: 461:1-461:18 - [c20]Ruyang Liu, Chen Li, Haoran Tang, Yixiao Ge, Ying Shan, Ge Li:
ST-LLM: Large Language Models Are Effective Temporal Learners. ECCV (57) 2024: 1-18 - [c19]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: 1701-1712 - [c18]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: 475-489 - [i20]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 abs/2402.17903 (2024) - [i19]Ruyang Liu, Chen Li, Haoran Tang, Yixiao Ge, Ying Shan, Ge Li:
ST-LLM: Large Language Models Are Effective Temporal Learners. CoRR abs/2404.00308 (2024) - [i18]Xueyao Sun, Kaize Shi, Haoran Tang, Guandong Xu, Qing Li:
Expert-Guided Extinction of Toxic Tokens for Debiased Generation. CoRR abs/2405.19299 (2024) - [i17]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 abs/2405.19465 (2024) - [i16]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 abs/2406.13201 (2024) - [i15]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 abs/2407.02028 (2024) - [i14]Haoran Tang, Meng Cao, Jinfa Huang, Ruyang Liu, Peng Jin, Ge Li, Xiaodan Liang:
MUSE: Mamba is Efficient Multi-scale Learner for Text-video Retrieval. CoRR abs/2408.10575 (2024) - [i13]Ruyang Liu, Haoran Tang, Haibo Liu, Yixiao Ge, Ying Shan, Chen Li, Jiankun Yang:
PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance. CoRR abs/2411.02327 (2024) - [i12]Meng Cao, Haoran Tang, Haoze Zhao, Hangyu Guo, Jiaheng Liu, Ge Zhang, Ruyang Liu, Qiang Sun, Ian Reid, Xiaodan Liang:
PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos. CoRR abs/2412.01800 (2024) - 2023
- [j5]Jun Zeng, Haoran Tang, Yizhu Zhao, Junhao Wen:
Neu-PCM: Neural-based potential correlation mining for POI recommendation. Appl. Intell. 53(9): 10685-10698 (2023) - [j4]Fengcheng Guo, Haoran Tang, Wensong Liu:
Non-Local Means De-Speckling Based on Multi-Directional Local Plane Inclination Angle. Remote. Sens. 15(4): 1029 (2023) - [c17]Kaihong Yan, Haoran Tang, Jian Zhang, Peng Peng, Hongwei Wang:
A Novel Encoder-Decoder Architecture for Table Border Segmentation of Scanned Documents. CSCWD 2023: 953-958 - [c16]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: 16281-16290 - [c15]Haoran Tang, Shiqing Wu, Guandong Xu, Qing Li:
Dynamic Graph Evolution Learning for Recommendation. SIGIR 2023: 1589-1598 - [i11]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 abs/2310.14790 (2023) - [i10]Haoran Tang, Xin Zhou, Jieren Deng, Zhihong Pan, Hao Tian, Pratik Chaudhari:
Retrieving Conditions from Reference Images for Diffusion Models. CoRR abs/2312.02521 (2023) - [i9]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 abs/2312.07069 (2023) - 2022
- [j3]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): 1455-1482 (2022) - [c14]Haoran Tang, Zhuoyang Wang, Jianhui Yang, Sichen Zhou:
Experimental research on the colour interpolation algorithm of the full colour image. CIPAE 2022: 6-11 - [c13]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: 5159-5168 - [c12]Haoran Tang, Jian Zhang, Kaihong Yan, Gaoang Wang, Hongwei Wang:
A Framework for Handwritten Date Recognition in Quality Documents. ICEBE 2022: 234-239 - [i8]Changwei Xu, Jianfei Yang, Haoran Tang, Han Zou, Cheng Lu, Tianshuo Zhang:
Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation. CoRR abs/2201.11963 (2022) - [i7]Yuanyi Zhong, Haoran Tang, Jun-Kun Chen, Jian Peng, Yu-Xiong Wang:
Is Self-Supervised Learning More Robust Than Supervised Learning? CoRR abs/2206.05259 (2022) - [i6]Lukas Zhornyak, Zhengjie Xu, Haoran Tang, Jianbo Shi:
HashEncoding: Autoencoding with Multiscale Coordinate Hashing. CoRR abs/2211.15894 (2022) - [i5]Zeqian Li, Keyu Qiu, Chenxu Jiao, Wen Zhu, Haoran Tang:
WEKA-Based: Key Features and Classifier for French of Five Countries. CoRR abs/2212.08132 (2022) - 2021
- [j2]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) - [j1]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): 2434-2444 (2021) - [c11]Haoran Tang, Changwei Xu, Jianfei Yang:
Bi-Adversarial Discrepancy Minimization for Unsupervised Domain Adaptation on 3D Point Cloud. IJCNN 2021: 1-8 - 2020
- [c10]Jun Zeng, Haoran Tang, Xin He:
RCFC: A Region-Based POI Recommendation Model with Collaborative Filtering and User Context. CollaborateCom (1) 2020: 656-670 - [c9]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: 184-188 - [c8]Jun Zeng, Haoran Tang, Junhao Wen:
DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence. ICONIP (3) 2020: 420-431
2010 – 2019
- 2019
- [c7]Jun Zeng, Xin He, Haoran Tang, Junhao Wen:
A Next Location Predicting Approach Based on a Recurrent Neural Network and Self-attention. CollaborateCom 2019: 309-322 - [c6]Jun Zeng, Haoran Tang, Yingbo Wu, Ling Liu, Sachio Hirokawa:
Predict the Next Location From Trajectory Based on Spatiotemporal Sequence. IIAI-AAI 2019: 109-114 - [c5]Jun Zeng, Haoran Tang, Yinghua Li, Xin He:
A Deep Learning Model Based on Sparse Matrix for Point-of-Interest Recommendation. SEKE 2019: 379-492 - [i4]Ofir Nachum, Haoran Tang, Xingyu Lu, Shixiang Gu, Honglak Lee, Sergey Levine:
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning? CoRR abs/1909.10618 (2019) - 2018
- [c4]Dennis Lee, Haoran Tang, Jeffrey O. Zhang, Huazhe Xu, Trevor Darrell, Pieter Abbeel:
Modular Architecture for StarCraft II with Deep Reinforcement Learning. AIIDE 2018: 187-193 - [i3]Dennis Lee, Haoran Tang, Jeffrey O. Zhang, Huazhe Xu, Trevor Darrell, Pieter Abbeel:
Modular Architecture for StarCraft II with Deep Reinforcement Learning. CoRR abs/1811.03555 (2018) - 2017
- [c3]Tuomas Haarnoja, Haoran Tang, Pieter Abbeel, Sergey Levine:
Reinforcement Learning with Deep Energy-Based Policies. ICML 2017: 1352-1361 - [c2]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: 2753-2762 - [i2]Tuomas Haarnoja, Haoran Tang, Pieter Abbeel, Sergey Levine:
Reinforcement Learning with Deep Energy-Based Policies. CoRR abs/1702.08165 (2017) - 2016
- [c1]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: 1-12 - [i1]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 abs/1611.04717 (2016)
Coauthor Index
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