Xiaotian Han

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 52

Top Topics

Question Answering

Tree Reweighted

Heterogeneous Information Networks

Top Venues

Publications

Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. ICLR (2024)
Xiaotian Han, Yiqi Wang, Bohan Zhai, Quanzeng You, Hongxia Yang
COCO is "ALL" You Need for Visual Instruction Fine-tuning. CoRR (2024)
Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
Chasing Fairness in Graphs: A GNN Architecture Perspective. AAAI (2024)
Hengrui Gu, Kaixiong Zhou, Xiaotian Han, Ninghao Liu, Ruobing Wang, Xin Wang
PokeMQA: Programmable knowledge editing for Multi-hop Question Answering. ACL (1) (2024)
Haogeng Liu, Quanzeng You, Xiaotian Han, Yiqi Wang, Bohan Zhai, Yongfei Liu, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang
InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding. CoRR (2024)
Qihang Fan, Quanzeng You, Xiaotian Han, Yongfei Liu, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang
ViTAR: Vision Transformer with Any Resolution. CoRR (2024)
Yiqi Wang, Wentao Chen, Xiaotian Han, Xudong Lin, Haiteng Zhao, Yongfei Liu, Bohan Zhai, Jianbo Yuan, Quanzeng You, Hongxia Yang
Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning. CoRR (2024)
Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning. CoRR (2024)
Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, Xia Ben Hu
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Haogeng Liu, Quanzeng You, Yiqi Wang, Xiaotian Han, Bohan Zhai, Yongfei Liu, Wentao Chen, Yiren Jian, Yunzhe Tao, Jianbo Yuan, Ran He, Hongxia Yang
InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model. ACL (Findings) (2024)
Haogeng Liu, Quanzeng You, Xiaotian Han, Yongfei Liu, Huaibo Huang, Ran He, Hongxia Yang
Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model. CoRR (2024)
Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Chia-Yuan Chang, Xia Hu
GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length. CoRR (2023)
Yicheng Wang, Xiaotian Han, Leisheng Yu, Na Zou
Beyond Fairness: Age-Harmless Parkinson's Detection via Voice. CoRR (2023)
Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. ICLR (2023)
Xiaotian Han, Quanzeng You, Chunyu Wang, Zhizheng Zhang, Peng Chu, Houdong Hu, Jiang Wang, Zicheng Liu
MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark. WACV (2023)
Hengrui Gu, Kaixiong Zhou, Xiaotian Han, Ninghao Liu, Ruobing Wang, Xin Wang
PokeMQA: Programmable knowledge editing for Multi-hop Question Answering. CoRR (2023)
Zhimeng Stephen Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach. NeurIPS (2023)
Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
Chasing Fairness in Graphs: A GNN Architecture Perspective. CoRR (2023)
Ruixiang Tang, Xiaotian Han, Xiaoqian Jiang, Xia Hu
Does Synthetic Data Generation of LLMs Help Clinical Text Mining? CoRR (2023)
Zhimeng Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Na Zou, Xia Hu
Weight Perturbation Can Help Fairness under Distribution Shift. CoRR (2023)
Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou
Marginal Nodes Matter: Towards Structure Fairness in Graphs. SIGKDD Explor. 25 (2) (2023)
Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, Xia Hu
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. CoRR (2023)
Chia-Yuan Chang, Yu-Neng Chuang, Kwei-Herng Lai, Xiaotian Han, Xia Hu, Na Zou
Towards Assumption-free Bias Mitigation. CoRR (2023)
Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity. Trans. Mach. Learn. Res. 2023 (2023)
Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou
Marginal Nodes Matter: Towards Structure Fairness in Graphs. CoRR (2023)
Xiaotian Han, Quanzeng You, Yongfei Liu, Wentao Chen, Huangjie Zheng, Khalil Mrini, Xudong Lin, Yiqi Wang, Bohan Zhai, Jianbo Yuan, Heng Wang, Hongxia Yang
CORE-MM: Complex Open-Ended Reasoning Evaluation For Multi-Modal Large Language Models. CoRR (2023)
Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. CoRR (2023)
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
On the Equivalence of Graph Convolution and Mixup. CoRR (2023)
Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity. CoRR (2023)
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
Geometric Graph Representation Learning via Maximizing Rate Reduction. CoRR (2022)
Yicheng Wang, Xiaotian Han, Chia-Yuan Chang, Daochen Zha, Ulisses Braga-Neto, Xia Hu
Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture. CoRR (2022)
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu
G-Mixup: Graph Data Augmentation for Graph Classification. ICML (2022)
Zhimeng Jiang, Xiaotian Han, Chao Fan, Fan Yang, Ali Mostafavi, Xia Hu
Generalized Demographic Parity for Group Fairness. ICLR (2022)
Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. CoRR (2022)
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu
G-Mixup: Graph Data Augmentation for Graph Classification. CoRR (2022)
Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
FMP: Toward Fair Graph Message Passing against Topology Bias. CoRR (2022)
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
Geometric Graph Representation Learning via Maximizing Rate Reduction. WWW (2022)
Xiaotian Han, Jianwei Yang, Houdong Hu, Lei Zhang, Jianfeng Gao, Pengchuan Zhang
Image Scene Graph Generation (SGG) Benchmark. CoRR (2021)
Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. 33 (4) (2021)
Xiaotian Han
How Does AI Engage in Education? A Quantitative Research on AI Curriculum and Instruction in Public Primary Schools. ICETM (2021)
Xiaotian Han, Quanzeng You, Chunyu Wang, Zhizheng Zhang, Peng Chu, Houdong Hu, Jiang Wang, Zicheng Liu
MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark. CoRR (2021)
Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng
FlowScope: Spotting Money Laundering Based on Graphs. AAAI (2020)
Ding Xiao, Li Song, Ruijia Wang, Xiaotian Han, Yanan Cai, Chuan Shi
Embedding geographic information for anomalous trajectory detection. World Wide Web 23 (5) (2020)
Xiaojun Duan, Huiying Liu, Hong Tang, Qing Cai, Fan Zhang, Xiaotian Han
A Novel Hybrid Auction Algorithm for Multi-UAVs Dynamic Task Assignment. IEEE Access 8 (2020)
Ting-Hsiang Wang, Xia Hu, Haifeng Jin, Qingquan Song, Xiaotian Han, Zirui Liu
AutoRec: An Automated Recommender System. RecSys (2020)
Ting-Hsiang Wang, Qingquan Song, Xiaotian Han, Zirui Liu, Haifeng Jin, Xia Hu
AutoRec: An Automated Recommender System. CoRR (2020)
Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. CoRR (2019)
Shaohua Fan, Junxiong Zhu, Xiaotian Han, Chuan Shi, Linmei Hu, Biyu Ma, Yongliang Li
Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation. KDD (2019)
Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song
Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks. IJCAI (2018)
Xiaotian Han, Chuan Shi, Lei Zheng, Philip S. Yu, Jianxin Li, Yuanfu Lu
Representation Learning with Depth and Breadth for Recommendation Using Multi-view Data. APWeb/WAIM (1) (2018)
Li Song, Ruijia Wang, Ding Xiao, Xiaotian Han, Yanan Cai, Chuan Shi
Anomalous Trajectory Detection Using Recurrent Neural Network. ADMA (2018)
Song Jiang, Xiaotian Han
DMGroup at EmoInt-2017: Emotion Intensity Using Ensemble Method. WASSA@EMNLP (2017)