Haoran Tang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

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Bibliography

2026
ContextGuard: Structured Self-Auditing for Context Learning in Language Models.
CoRR, May, 2026

Context-CoT: Enhancing Context Learning via High-Quality Reasoning Synthesis.
CoRR, May, 2026

C-TRAIL: A Commonsense World Framework for Trajectory Planning in Autonomous Driving.
CoRR, March, 2026

Odd-periodic low/zero ambiguity zone: Theoretical Bounds and Optimal Constructions.
Cryptogr. Commun., March, 2026

From Logits to Latents: Contrastive Representation Shaping for LLM Unlearning.
CoRR, January, 2026

Open-Vocabulary 3D Instruction Ambiguity Detection.
CoRR, January, 2026

Order from Chaos: Physical World Understanding from Glitchy Gameplay Videos.
Trans. Mach. Learn. Res., 2026

An RIS-aided reliable four-dimensional index modulation DCSK system.
Phys. Commun., 2026

FedKG: Federated POI recommendation via generative knowledge distillation against spatial heterogeneity.
Expert Syst. Appl., 2026

FedLHSSG: A federated framework for POI recommendation using local hypergraph with shared spatial graph.
Expert Syst. Appl., 2026

AGSRec: Mitigating popularity bias via attraction-aware graph and semantic enhancement for POI recommendations.
Expert Syst. Appl., 2026

Loop-Free and Localized Fast Reroute in Underwater Ad Hoc Networks.
Proceedings of the 27th International Conference on Advanced Communications Technology, 2026

Video Spatial Reasoning with Object-Centric 3D Rollout.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Seeing through Imagination: Learning Scene Geometry via Implicit Spatial World Modeling.
CoRR, December, 2025

Educating Language Models as Promoters: Multi-Aspect Instruction Alignment With Self-Augmentation.
IEEE Trans. Knowl. Data Eng., August, 2025

Sharpness-Aware Machine Unlearning.
CoRR, June, 2025

Model-Agnostic Dual-Side Online Fairness Learning for Dynamic Recommendation.
IEEE Trans. Knowl. Data Eng., May, 2025

Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models.
CoRR, March, 2025

TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation.
ACM Trans. Inf. Syst., January, 2025

Dual Mutual Learning Network with Global-local Awareness for RGB-D Salient Object Detection.
CoRR, January, 2025

HGDRec:Next POI Recommendation Based on Hypergraph Neural Network and Diffusion Model.
IEEE Trans. Serv. Comput., 2025

DMSDRec: Dynamic Structure-Aware Graph Masked Autoencoder and Spatiotemporal Diffusion for Next-POI Recommendation.
IEEE Trans. Serv. Comput., 2025

FedHGS: A Federated Point-of-Interest Recommendation Method Based on Heterogeneous Graph Semantics.
IEEE Trans. Serv. Comput., 2025

Adaptive Depth Enhancement Network for RGB-D Salient Object Detection.
IEEE Signal Process. Lett., 2025

RGB-D image-based real-time pose estimation algorithm for mobile robots with rectangular body.
Robotica, 2025

Global and local hypergraph learning method with semantic enhancement for POI recommendation.
Inf. Process. Manag., 2025

Multimodal Medical Image Fusion With UNet-Based Multi-Scale Transformer Networks.
Int. J. Imaging Syst. Technol., 2025

DyBooster: Leveraging large language model as booster for dynamic recommendation.
Expert Syst. Appl., 2025

Expert-Guided Toxicity Filtration for Debiased Generation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Flow4Agent: Long-form Video Understanding via Motion Prior from Optical Flow.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

A Large Language Model-assisted Evolutionary Algorithm for Expensive Constrained Multi-objective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

MUSE: Mamba Is Efficient Multi-scale Learner for Text-video Retrieval.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos.
CoRR, 2024

PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance.
CoRR, 2024

Why does in-context learning fail sometimes? Evaluating in-context learning on open and closed questions.
CoRR, 2024

Expert-Guided Extinction of Toxic Tokens for Debiased Generation.
CoRR, 2024

Surgment: Segmentation-enabled Semantic Search and Creation of Visual Question and Feedback to Support Video-Based Surgery Learning.
CoRR, 2024

Bi-directional Interaction and Dense Aggregation Network for RGB-D Salient Object Detection.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ST-LLM: Large Language Models Are Effective Temporal Learners.
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.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Neu-PCM: Neural-based potential correlation mining for POI recommendation.
Appl. Intell., May, 2023

Non-Local Means De-Speckling Based on Multi-Directional Local Plane Inclination Angle.
Remote. Sens., February, 2023

Context Matters: Data-Efficient Augmentation of Large Language Models for Scientific Applications.
CoRR, 2023

Retrieving Conditions from Reference Images for Diffusion Models.
CoRR, 2023

Weighted Joint Maximum Mean Discrepancy Enabled Multi-Source-Multi-Target Unsupervised Domain Adaptation Fault Diagnosis.
CoRR, 2023

Dynamic Graph Evolution Learning for Recommendation.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Novel Encoder-Decoder Architecture for Table Border Segmentation of Scanned Documents.
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.
J. Intell. Fuzzy Syst., 2022

WEKA-Based: Key Features and Classifier for French of Five Countries.
CoRR, 2022

HashEncoding: Autoencoding with Multiscale Coordinate Hashing.
CoRR, 2022

Is Self-Supervised Learning More Robust Than Supervised Learning?
CoRR, 2022

Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation.
CoRR, 2022

A Framework for Handwritten Date Recognition in Quality Documents.
Proceedings of the IEEE International Conference on e-Business Engineering, 2022

Signature Detection, Restoration, and Verification: A Novel Chinese Document Signature Forgery Detection Benchmark.
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.
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.
Mob. Networks Appl., 2021

Predicting the next location: A self-attention and recurrent neural network model with temporal context.
Trans. Emerg. Telecommun. Technol., 2021

Bi-Adversarial Discrepancy Minimization for Unsupervised Domain Adaptation on 3D Point Cloud.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Bagging of Gaussian Process for Large Generator Eddy Current Prediction.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

RCFC: A Region-Based POI Recommendation Model with Collaborative Filtering and User Context.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

2019
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?
CoRR, 2019

A Deep Learning Model Based on Sparse Matrix for Point-of-Interest Recommendation.
Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

Predict the Next Location From Trajectory Based on Spatiotemporal Sequence.
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.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019

2018
Modular Architecture for StarCraft II with Deep Reinforcement Learning.
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.
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.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Convolutional neural networks at the interface of physical and digital data.
Proceedings of the 2016 IEEE Applied Imagery Pattern Recognition Workshop, 2016


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