DMGroup at EmoInt-2017: Emotion Intensity Using Ensemble Method. - Song Jiang 005; Xiaotian Han (WASSA@EMNLP, 2017)

Anomalous Trajectory Detection Using Recurrent Neural Network. - Li Song; Ruijia Wang; Ding Xiao; Xiaotian Han; Yanan Cai; Chuan Shi 001 (ADMA, 2018)

Representation Learning with Depth and Breadth for Recommendation Using Multi-view Data. - Xiaotian Han; Chuan Shi 001; Lei Zheng 001; Philip S. Yu; Jianxin Li 001; Yuanfu Lu (APWeb/WAIM (1), 2018)

Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks. - Xiaotian Han; Chuan Shi 001; Senzhang Wang; Philip S. Yu; Li Song (IJCAI, 2018)

Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation. - Shaohua Fan; Junxiong Zhu; Xiaotian Han; Chuan Shi 001; Linmei Hu; Biyu Ma; Yongliang Li (KDD, 2019)

FlowScope: Spotting Money Laundering Based on Graphs. - Xiangfeng Li; Shenghua Liu; Zifeng Li; Xiaotian Han; Chuan Shi 001; Bryan Hooi; He Huang; Xueqi Cheng (AAAI, 2020)

AutoRec: An Automated Recommender System. - Ting-Hsiang Wang; Xia Hu 001; Haifeng Jin; Qingquan Song; Xiaotian Han; Zirui Liu 001 (RecSys, 2020)

A Novel Hybrid Auction Algorithm for Multi-UAVs Dynamic Task Assignment. - Xiaojun Duan; Huiying Liu; Hong Tang; Qing Cai; Fan Zhang 070; Xiaotian Han (IEEE Access, 2020)

Embedding geographic information for anomalous trajectory detection. - Ding Xiao; Li Song; Ruijia Wang; Xiaotian Han; Yanan Cai; Chuan Shi 001 (World Wide Web, 2020)

How Does AI Engage in Education? A Quantitative Research on AI Curriculum and Instruction in Public Primary Schools. - Xiaotian Han (ICETM, 2021)

Image Scene Graph Generation (SGG) Benchmark. - Xiaotian Han; Jianwei Yang; Houdong Hu; Lei Zhang 001; Jianfeng Gao 001; Pengchuan Zhang (CoRR, 2021)

Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. - Chuan Shi 001; Xiaotian Han; Li Song; Xiao Wang 017; Senzhang Wang; Junping Du 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2021)

Generalized Demographic Parity for Group Fairness. - Zhimeng Jiang; Xiaotian Han; Chao Fan; Fan Yang 023; Ali Mostafavi; Xia Hu 001 (ICLR, 2022)

G-Mixup: Graph Data Augmentation for Graph Classification. - Xiaotian Han; Zhimeng Jiang; Ninghao Liu; Xia Hu 001 (ICML, 2022)

Geometric Graph Representation Learning via Maximizing Rate Reduction. - Xiaotian Han; Zhimeng Jiang; Ninghao Liu; Qingquan Song; Jundong Li; Xia Hu 001 (WWW, 2022)

FMP: Toward Fair Graph Message Passing against Topology Bias. - Zhimeng Jiang; Xiaotian Han; Chao Fan; Zirui Liu 001; Na Zou 001; Ali Mostafavi; Xia Hu 001 (CoRR, 2022)

Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture. - Yicheng Wang; Xiaotian Han; Chia-Yuan Chang 002; Daochen Zha; Ulisses Braga-Neto; Xia Hu 001 (CoRR, 2022)

MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. - Xiaotian Han; Tong Zhao 003; Yozen Liu; Xia Hu 001; Neil Shah (ICLR, 2023)

Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach. - Zhimeng Stephen Jiang; Xiaotian Han; Hongye Jin; Guanchu Wang; Rui Chen 012; Na Zou 001; Xia Hu 001 (NeurIPS, 2023)

MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark. - Xiaotian Han; Quanzeng You; Chunyu Wang; Zhizheng Zhang 004; Peng Chu; Houdong Hu; Jiang Wang 012; Zicheng Liu 001 (WACV, 2023)

Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity. - Xiaotian Han; Zhimeng Jiang; Hongye Jin; Zirui Liu 001; Na Zou 001; Qifan Wang 001; Xia Hu 001 (CoRR, 2023)

Weight Perturbation Can Help Fairness under Distribution Shift. - Zhimeng Jiang; Xiaotian Han; Hongye Jin; Guanchu Wang; Na Zou 001; Xia Ben Hu (CoRR, 2023)

Does Synthetic Data Generation of LLMs Help Clinical Text Mining? - Ruixiang Tang; Xiaotian Han; Xiaoqian Jiang; Xia Hu 001 (CoRR, 2023)

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. - Jingfeng Yang 001; Hongye Jin; Ruixiang Tang; Xiaotian Han; Qizhang Feng; Haoming Jiang; Bing Yin; Xia Hu 001 (CoRR, 2023)

Towards Assumption-free Bias Mitigation. - Chia-Yuan Chang 002; Yu-Neng Chuang; Kwei-Herng Lai; Xiaotian Han; Xia Hu 001; Na Zou 001 (CoRR, 2023)

Beyond Fairness: Age-Harmless Parkinson's Detection via Voice. - Yicheng Wang; Xiaotian Han; Leisheng Yu; Na Zou 001 (CoRR, 2023)

GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length. - Hongye Jin; Xiaotian Han; Jingfeng Yang 001; Zhimeng Jiang; Chia-Yuan Chang 002; Xia Hu 001 (CoRR, 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 007; Yiqi Wang 004; Bohan Zhai; Jianbo Yuan; Heng Wang; Hongxia Yang (CoRR, 2023)

Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity. - Xiaotian Han; Zhimeng Jiang; Hongye Jin; Zirui Liu 001; Na Zou 001; Qifan Wang 001; Xia Hu 001 (Trans. Mach. Learn. Res., 2023)

Marginal Nodes Matter: Towards Structure Fairness in Graphs. - Xiaotian Han; Kaixiong Zhou; Ting-Hsiang Wang; Jundong Li; Fei Wang 062; Na Zou 001 (SIGKDD Explor., 2023)

Chasing Fairness in Graphs: A GNN Architecture Perspective. - Zhimeng Jiang; Xiaotian Han; Chao Fan; Zirui Liu 001; Na Zou 001; Ali Mostafavi; Xia Hu 001 (AAAI, 2024)

PokeMQA: Programmable knowledge editing for Multi-hop Question Answering. - Hengrui Gu 002; Kaixiong Zhou; Xiaotian Han; Ninghao Liu; Ruobing Wang 003; Xin Wang 035 (ACL (1), 2024)

InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model. - Haogeng Liu; Quanzeng You; Yiqi Wang 004; Xiaotian Han; Bohan Zhai; Yongfei Liu; Wentao Chen; Yiren Jian; Yunzhe Tao; Jianbo Yuan; Ran He 001; Hongxia Yang (ACL (Findings), 2024)

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. - Xiaotian Han; Jianfeng Chi; Yu Chen 022; Qifan Wang 001; Han Zhao 002; Na Zou 001; Xia Hu 001 (ICLR, 2024)

COCO is "ALL" You Need for Visual Instruction Fine-tuning. - Xiaotian Han; Yiqi Wang 004; Bohan Zhai; Quanzeng You; Hongxia Yang (ICME, 2024)

LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning. - Hongye Jin; Xiaotian Han; Jingfeng Yang 001; Zhimeng Jiang; Zirui Liu 001; Chia-Yuan Chang 002; Huiyuan Chen; Xia Hu 001 (ICML, 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 (NeurIPS, 2024)

Gradient Rewiring for Editable Graph Neural Network Training. - Zhimeng Jiang; Zirui Liu 001; Xiaotian Han; Qizhang Feng; Hongye Jin; Qiaoyu Tan; Kaixiong Zhou; Na Zou 001; Xia Ben Hu (NeurIPS, 2024)

Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model. - Haogeng Liu; Quanzeng You; Xiaotian Han; Yongfei Liu; Huaibo Huang; Ran He 001; Hongxia Yang (NeurIPS, 2024)

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning. - Hongye Jin; Xiaotian Han; Jingfeng Yang 001; Zhimeng Jiang; Zirui Liu 001; Chia-Yuan Chang 002; Huiyuan Chen; Xia Hu 001 (CoRR, 2024)

Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning. - Yiqi Wang 004; Wentao Chen; Xiaotian Han; Xudong Lin 007; Haiteng Zhao; Yongfei Liu; Bohan Zhai; Jianbo Yuan; Quanzeng You; Hongxia Yang (CoRR, 2024)

InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding. - Haogeng Liu; Quanzeng You; Xiaotian Han; Yiqi Wang 004; Bohan Zhai; Yongfei Liu; Yunzhe Tao; Huaibo Huang; Ran He 001; Hongxia Yang (CoRR, 2024)

ViTAR: Vision Transformer with Any Resolution. - Qihang Fan; Quanzeng You; Xiaotian Han; Yongfei Liu; Yunzhe Tao; Huaibo Huang; Ran He 001; 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 004; Qihang Fan; Yuang Ai; Huaibo Huang; Ran He 001; Zhenheng Yang; Quanzeng You (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 002; Tingkai Liu; Liyu Chen; et al. (CoRR, 2024)

DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation. - Yuang Ai; Xiaoqiang Zhou; Huaibo Huang; Xiaotian Han; Zheng Chen 014; Quanzeng You; Hongxia Yang (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)

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; et al. (CoRR, 2024)

On the Equivalence of Graph Convolution and Mixup. - Xiaotian Han; Hanqing Zeng; Yu Chen 022; Shaoliang Nie; Jingzhou Liu; Kanika Narang; Zahra Shakeri; Karthik Abinav Sankararaman; Song Jiang 002; Madian Khabsa; Qifan Wang 001; Xia Hu 001 (Trans. Mach. Learn. Res., 2024)

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. - Jingfeng Yang 001; Hongye Jin; Ruixiang Tang; Xiaotian Han; Qizhang Feng; Haoming Jiang; Shaochen Zhong; Bing Yin; Xia Ben Hu (ACM Trans. Knowl. Discov. Data, 2024)

CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation. - Nengbo Wang; Xiaotian Han; Jagdip Singh; Jing Ma; Vipin Chaudhary (ACL (Findings), 2025)

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? - Van Yang; Hongye Jin; Shaochen Zhong; Song Jiang 002; Qifan Wang 001; Vipin Chaudhary; Xiaotian Han (ACL (Findings), 2025)

You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time. - Xiaotian Han; Tianlong Chen 001; Kaixiong Zhou; Zhimeng Jiang; Zhangyang Wang; Xia Hu 001 (CPAL, 2025)

AI-Augmented Parameter Initialization for QAOA. - Jai Nana; Xinpeng Li; Ning Xie 002; Shusen Pu; Yifan Yu; Qiang Guan; Xiaotian Han; Shuai Xu; Vipin Chaudhary (DSN-W, 2025)

InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection. - Yuhang Liu 005; Pengxiang Li; Zishu Wei; Congkai Xie; Xueyu Hu; Xinchen Xu; Shengyu Zhang 001; Xiaotian Han; Hongxia Yang; Fei Wu 001 (CoRR, 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 005; et al. (CoRR, 2025)

Thinking Preference Optimization. - Wang Yang; Hongye Jin; Jingfeng Yang 001; Vipin Chaudhary; Xiaotian Han (CoRR, 2025)

More for Keys, Less for Values: Adaptive KV Cache Quantization. - Mohsen Hariri; Lam Nguyen; Sixu Chen; Shaochen Zhong; Qifan Wang 001; Xia Ben Hu; Xiaotian Han; Vipin Chaudhary (CoRR, 2025)

Speculative Thinking: Enhancing Small-Model Reasoning with Large Model Guidance at Inference Time. - Wang Yang; Xiang Yue; Vipin Chaudhary; Xiaotian Han (CoRR, 2025)

InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners. - Yuhang Liu 005; Pengxiang Li; Congkai Xie; Xavier Hu; Xiaotian Han; Shengyu Zhang 001; Hongxia Yang; Fei Wu 001 (CoRR, 2025)

SELF: Self-Extend the Context Length With Logistic Growth Function. - Phat Thanh Dang; Saahil Thoppay; Wang Yang; Qifan Wang 001; Vipin Chaudhary; Xiaotian Han (CoRR, 2025)

Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning. - Wang Yang; Zirui Liu 001; Hongye Jin; Qingyu Yin; Vipin Chaudhary; Xiaotian Han (CoRR, 2025)

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? - Wang Yang; Hongye Jin; Shaochen Zhong; Song Jiang 002; Qifan Wang 001; Vipin Chaudhary; Xiaotian Han (CoRR, 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, 2025)

Associations between effectiveness of blended learning, student engagement, student learning outcomes, and student academic motivation in higher education. - Xiaotian Han (Educ. Inf. Technol., 2025)

When Truthful Representations Flip Under Deceptive Instructions? - Xianxuan Long; Yao Fu; Runchao Li; Mu Sheng; Haotian Yu; Xiaotian Han; Pan Li (CoRR, 2025)

InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization. - Yuhang Liu 005; Zeyu Liu; Shuanghe Zhu; Pengxiang Li; Congkai Xie; Jiasheng Wang; Xueyu Hu; Xiaotian Han; Jianbo Yuan; Xinyao Wang; Shengyu Zhang 001; Hongxia Yang; et al. (CoRR, 2025)