Xiaotian Han

According to our database, Xiaotian Han authored at least 67 papers between 2017 and 2025.

Collaborative distances:

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

2025

InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization.

Yuhang Liu, Zeyu Liu, Shuanghe Zhu, Pengxiang Li, Congkai Xie, Jiasheng Wang, Xueyu Hu, Xiaotian Han, Jianbo Yuan, Xinyao Wang, Shengyu Zhang, Hongxia Yang, Fei Wu

CoRR, August, 2025

When Truthful Representations Flip Under Deceptive Instructions?

Xianxuan Long, Yao Fu, Runchao Li, Mu Sheng, Haotian Yu, Xiaotian Han, Pan Li

CoRR, July, 2025

Associations between effectiveness of blended learning, student engagement, student learning outcomes, and student academic motivation in higher education.

Xiaotian Han

Educ. Inf. Technol., June, 2025

Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks.

Debargha Ganguly, Vikash Singh, Sreehari Sankar, Biyao Zhang, Xuecen Zhang, Srinivasan Iyengar, Xiaotian Han, Amit Sharma, Shivkumar Kalyanaraman, Vipin Chaudhary

CoRR, May, 2025

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?

Wang Yang, Hongye Jin, Shaochen Zhong, Song Jiang, Qifan Wang, Vipin Chaudhary, Xiaotian Han

CoRR, May, 2025

Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning.

Wang Yang, Zirui Liu, Hongye Jin, Qingyu Yin, Vipin Chaudhary, Xiaotian Han

CoRR, May, 2025

SELF: Self-Extend the Context Length With Logistic Growth Function.

Phat Thanh Dang, Saahil Thoppay, Wang Yang, Qifan Wang, Vipin Chaudhary, Xiaotian Han

CoRR, May, 2025

InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners.

Yuhang Liu, Pengxiang Li, Congkai Xie, Xavier Hu, Xiaotian Han, Shengyu Zhang, Hongxia Yang, Fei Wu

CoRR, April, 2025

Speculative Thinking: Enhancing Small-Model Reasoning with Large Model Guidance at Inference Time.

Wang Yang, Xiang Yue, Vipin Chaudhary, Xiaotian Han

CoRR, April, 2025

More for Keys, Less for Values: Adaptive KV Cache Quantization.

Mohsen Hariri, Lam Nguyen, Sixu Chen, Shaochen Zhong, Qifan Wang, Xia Ben Hu, Xiaotian Han, Vipin Chaudhary

CoRR, February, 2025

Thinking Preference Optimization.

Wang Yang, Hongye Jin, Jingfeng Yang, Vipin Chaudhary, Xiaotian Han

CoRR, February, 2025

InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning.

Congkai Xie, Shuo Cai, Wenjun Wang, Pengxiang Li, Zhijie Sang, Kejing Yang, Yiming Zhang, Zhen Li, Guanghao Zhu, Zeyu Liu, Yang Yu, Yuhang Liu, Su Lu, Baoyi He, Qi Zhou, Xiaotian Han, Jianbo Yuan, Shengyu Zhang, Fei Wu, Hongxia Yang

CoRR, February, 2025

InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection.

Yuhang Liu, Pengxiang Li, Zishu Wei, Congkai Xie, Xueyu Hu, Xinchen Xu, Shengyu Zhang, Xiaotian Han, Hongxia Yang, Fei Wu

CoRR, January, 2025

AI-Augmented Parameter Initialization for QAOA.

Jai Nana, Xinpeng Li, Ning Xie, Shusen Pu, Yifan Yu, Qiang Guan, Xiaotian Han, Shuai Xu, Vipin Chaudhary

Proceedings of the 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2025

You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time.

Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Hu

Proceedings of the Conference on Parsimony and Learning, 2025

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?

Van Yang, Hongye Jin, Shaochen Zhong, Song Jiang, Qifan Wang, Vipin Chaudhary, Xiaotian Han

Proceedings of the Findings of the Association for Computational Linguistics, 2025

CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation.

Nengbo Wang, Xiaotian Han, Jagdip Singh, Jing Ma, Vipin Chaudhary

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

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

Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, Xia Ben Hu

ACM Trans. Knowl. Discov. Data, July, 2024

On the Equivalence of Graph Convolution and Mixup.

Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu

Trans. Mach. Learn. Res., 2024

NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models.

Zhuoran Qiao, Feizhi Ding, Thomas Dresselhaus, Mia A. Rosenfeld, Xiaotian Han, Owen Howell, Aniketh Iyengar, Stephen Opalenski, Anders S. Christensen, Sai K. Sirumalla, Frederick R. Manby, Thomas F. Miller III, Matthew Welborn

CoRR, 2024

Dynamic Self-Distillation via Previous Mini-batches for Fine-tuning Small Language Models.

Yao Fu, Yin Yu, Xiaotian Han, Runchao Li, Xianxuan Long, Haotian Yu, Pan Li

CoRR, 2024

DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation.

Yuang Ai, Xiaoqiang Zhou, Huaibo Huang, Xiaotian Han, Zheng Chen, Quanzeng You, Hongxia Yang

CoRR, 2024

BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data.

Xuwu Wang, Qiwen Cui, Yunzhe Tao, Yiran Wang, Ziwei Chai, Xiaotian Han, Boyi Liu, Jianbo Yuan, Jing Su, Guoyin Wang, Tingkai Liu, Liyu Chen, Tianyi Liu, Tao Sun, Yufeng Zhang, Sirui Zheng, Quanzeng You, Yang Yang, Hongxia Yang

CoRR, 2024

InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning.

Xiaotian Han, Yiren Jian, Xuefeng Hu, Haogeng Liu, Yiqi Wang, Qihang Fan, Yuang Ai, Huaibo Huang, Ran He, Zhenheng Yang, Quanzeng You

CoRR, 2024

ViTAR: Vision Transformer with Any Resolution.

Qihang Fan, Quanzeng You, Xiaotian Han, Yongfei Liu, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang

CoRR, 2024

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

Haogeng Liu, Quanzeng You, Xiaotian Han, Yiqi Wang, Bohan Zhai, Yongfei Liu, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang

CoRR, 2024

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

Yiqi Wang, Wentao Chen, Xiaotian Han, Xudong Lin, Haiteng Zhao, Yongfei Liu, Bohan Zhai, Jianbo Yuan, Quanzeng You, Hongxia Yang

CoRR, 2024

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

Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu

CoRR, 2024

Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model.

Haogeng Liu, Quanzeng You, Xiaotian Han, Yongfei Liu, Huaibo Huang, Ran He, Hongxia Yang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Gradient Rewiring for Editable Graph Neural Network Training.

Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation.

Yuang Ai, Xiaoqiang Zhou, Huaibo Huang, Xiaotian Han, Zhengyu Chen, Quanzeng You, Hongxia Yang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning.

Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Xiaotian Han, Yiqi Wang, Bohan Zhai, Quanzeng You, Hongxia Yang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

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

Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model.

Haogeng Liu, Quanzeng You, Yiqi Wang, Xiaotian Han, Bohan Zhai, Yongfei Liu, Wentao Chen, Yiren Jian, Yunzhe Tao, Jianbo Yuan, Ran He, Hongxia Yang

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

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

Hengrui Gu, Kaixiong Zhou, Xiaotian Han, Ninghao Liu, Ruobing Wang, Xin Wang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Chasing Fairness in Graphs: A GNN Architecture Perspective.

Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Marginal Nodes Matter: Towards Structure Fairness in Graphs.

Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou

SIGKDD Explor., December, 2023

Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity.

Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu

Trans. Mach. Learn. Res., 2023

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

Xiaotian Han, Quanzeng You, Yongfei Liu, Wentao Chen, Huangjie Zheng, Khalil Mrini, Xudong Lin, Yiqi Wang, Bohan Zhai, Jianbo Yuan, Heng Wang, Hongxia Yang

CoRR, 2023

GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length.

Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Chia-Yuan Chang, Xia Hu

CoRR, 2023

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

Yicheng Wang, Xiaotian Han, Leisheng Yu, Na Zou

CoRR, 2023

Towards Assumption-free Bias Mitigation.

Chia-Yuan Chang, Yu-Neng Chuang, Kwei-Herng Lai, Xiaotian Han, Xia Hu, Na Zou

CoRR, 2023

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

Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, Xia Hu

CoRR, 2023

Does Synthetic Data Generation of LLMs Help Clinical Text Mining?

Ruixiang Tang, Xiaotian Han, Xiaoqian Jiang, Xia Hu

CoRR, 2023

Weight Perturbation Can Help Fairness under Distribution Shift.

Zhimeng Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Na Zou, Xia Ben Hu

CoRR, 2023

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

Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu

CoRR, 2023

MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark.

Xiaotian Han, Quanzeng You, Chunyu Wang, Zhizheng Zhang, Peng Chu, Houdong Hu, Jiang Wang, Zicheng Liu

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

Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach.

Zhimeng Stephen Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu

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.

Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

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

Yicheng Wang, Xiaotian Han, Chia-Yuan Chang, Daochen Zha, Ulisses Braga-Neto, Xia Hu

CoRR, 2022

FMP: Toward Fair Graph Message Passing against Topology Bias.

Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu

CoRR, 2022

Geometric Graph Representation Learning via Maximizing Rate Reduction.

Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu

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.

Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu

Proceedings of the International Conference on Machine Learning, 2022

Generalized Demographic Parity for Group Fairness.

Zhimeng Jiang, Xiaotian Han, Chao Fan, Fan Yang, Ali Mostafavi, Xia Hu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks.

Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu

IEEE Trans. Knowl. Data Eng., 2021

Image Scene Graph Generation (SGG) Benchmark.

Xiaotian Han, Jianwei Yang, Houdong Hu, Lei Zhang, Jianfeng Gao, Pengchuan Zhang

CoRR, 2021

How Does AI Engage in Education? A Quantitative Research on AI Curriculum and Instruction in Public Primary Schools.

Xiaotian Han

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.

Ding Xiao, Li Song, Ruijia Wang, Xiaotian Han, Yanan Cai, Chuan Shi

World Wide Web, 2020

A Novel Hybrid Auction Algorithm for Multi-UAVs Dynamic Task Assignment.

Xiaojun Duan, Huiying Liu, Hong Tang, Qing Cai, Fan Zhang, Xiaotian Han

IEEE Access, 2020

AutoRec: An Automated Recommender System.

Ting-Hsiang Wang, Xia Hu, Haifeng Jin, Qingquan Song, Xiaotian Han, Zirui Liu

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

FlowScope: Spotting Money Laundering Based on Graphs.

Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation.

Shaohua Fan, Junxiong Zhu, Xiaotian Han, Chuan Shi, Linmei Hu, Biyu Ma, Yongliang Li

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks.

Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Representation Learning with Depth and Breadth for Recommendation Using Multi-view Data.

Xiaotian Han, Chuan Shi, Lei Zheng, Philip S. Yu, Jianxin Li, Yuanfu Lu

Proceedings of the Web and Big Data - Second International Joint Conference, 2018

Anomalous Trajectory Detection Using Recurrent Neural Network.

Li Song, Ruijia Wang, Ding Xiao, Xiaotian Han, Yanan Cai, Chuan Shi

Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2017

DMGroup at EmoInt-2017: Emotion Intensity Using Ensemble Method.

Song Jiang, Xiaotian Han

Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017