Xiaotian Han

Orcid: 0000-0002-1344-3658

According to our database1, Xiaotian Han authored at least 38 papers between 2017 and 2024.

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Bibliography

2024
ViTAR: Vision Transformer with Any Resolution.
CoRR, 2024

InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding.
CoRR, 2024

COCO is "ALL" You Need for Visual Instruction Fine-tuning.
CoRR, 2024

Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning.
CoRR, 2024

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.
CoRR, 2024

Chasing Fairness in Graphs: A GNN Architecture Perspective.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
PokeMQA: Programmable knowledge editing for Multi-hop Question Answering.
CoRR, 2023

CORE-MM: Complex Open-Ended Reasoning Evaluation For Multi-Modal Large Language Models.
CoRR, 2023

Marginal Nodes Matter: Towards Structure Fairness in Graphs.
CoRR, 2023

GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length.
CoRR, 2023

On the Equivalence of Graph Convolution and Mixup.
CoRR, 2023

Beyond Fairness: Age-Harmless Parkinson's Detection via Voice.
CoRR, 2023

Towards Assumption-free Bias Mitigation.
CoRR, 2023

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.
CoRR, 2023

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.
CoRR, 2023

Does Synthetic Data Generation of LLMs Help Clinical Text Mining?
CoRR, 2023

Weight Perturbation Can Help Fairness under Distribution Shift.
CoRR, 2023

Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity.
CoRR, 2023

MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture.
CoRR, 2022

FMP: Toward Fair Graph Message Passing against Topology Bias.
CoRR, 2022

Geometric Graph Representation Learning via Maximizing Rate Reduction.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

G-Mixup: Graph Data Augmentation for Graph Classification.
Proceedings of the International Conference on Machine Learning, 2022

Generalized Demographic Parity for Group Fairness.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng., 2021

Image Scene Graph Generation (SGG) Benchmark.
CoRR, 2021

How Does AI Engage in Education? A Quantitative Research on AI Curriculum and Instruction in Public Primary Schools.
Proceedings of the ICETM 2021: 4th International Conference on Education Technology Management, Tokyo, Japan, December 17, 2021

2020
Embedding geographic information for anomalous trajectory detection.
World Wide Web, 2020

A Novel Hybrid Auction Algorithm for Multi-UAVs Dynamic Task Assignment.
IEEE Access, 2020

AutoRec: An Automated Recommender System.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

FlowScope: Spotting Money Laundering Based on Graphs.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Representation Learning with Depth and Breadth for Recommendation Using Multi-view Data.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

Anomalous Trajectory Detection Using Recurrent Neural Network.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2017
DMGroup at EmoInt-2017: Emotion Intensity Using Ensemble Method.
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017


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