Han, Xiaotian

22 publications

NeurIPS 2025 All You Need Is One: Capsule Prompt Tuning with a Single Vector Yiyang Liu, James Chenhao Liang, Heng Fan, Wenhao Yang, Yiming Cui, Xiaotian Han, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han
NeurIPS 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
NeurIPS 2025 Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning Van Yang, Zirui Liu, Hongye Jin, Qingyu Yin, Vipin Chaudhary, Xiaotian Han
NeurIPS 2025 NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models Zhuoran Qiao, Feizhi Ding, Thomas Dresselhaus, Mia A. Rosenfeld, Xiaotian Han, Owen Lewis Howell, Aniketh Iyengar, Stephen Opalenski, Anders S Christensen, Sai Krishna Sirumalla, Fred Manby, Thomas Miller, Matthew Welborn
CPAL 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
AAAI 2024 Chasing Fairness in Graphs: A GNN Architecture Perspective Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
NeurIPS 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
ICLR 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
NeurIPS 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 Hu
NeurIPSW 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
ICML 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
TMLR 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
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, Hongxia Yang
NeurIPSW 2023 Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture Yicheng Wang, Xiaotian Han, Chia-Yuan Chang, Daochen Zha, Ulisses Braga-Neto, Xia Hu
NeurIPS 2023 Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach Zhimeng Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu
ICLR 2023 MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah
WACV 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
TMLR 2023 Retiring $\Delta \text{DP}$: New Distribution-Level Metrics for Demographic Parity Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
ICML 2022 G-Mixup: Graph Data Augmentation for Graph Classification Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu
ICLR 2022 Generalized Demographic Parity for Group Fairness Zhimeng Jiang, Xiaotian Han, Chao Fan, Fan Yang, Ali Mostafavi, Xia Hu
AAAI 2020 FlowScope: Spotting Money Laundering Based on Graphs Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng
IJCAI 2018 Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song