Xiaotian Han - RankMe

98 papers A* 18A 3C 1Journal 63Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization. AAAI 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
2026	—	`conf`	InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection. EACL (Volume 1: Long Papers) Yuhang Liu, Pengxiang Li, Zishu Wei, Congkai Xie, Xueyu Hu, Xinchen Xu, Shengyu Zhang, Xiaotian Han, Hongxia Yang, Fei Wu
2026	J	`jnl`	Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level Triggers. CoRR Wang Yang, Debargha Ganguly, Xinpeng Li, Chaoda Song, Shouren Wang, Vikash Singh, Vipin Chaudhary, Xiaotian Han
2026	J	`jnl`	When Domains Interact: Asymmetric and Order-Sensitive Cross-Domain Effects in Reinforcement Learning for Reasoning. CoRR Wang Yang, Shouren Wang, Chaoda Song, Chuang Ma, Xinpeng Li, Nengbo Wang, Kaixiong Zhou, Vipin Chaudhary, Xiaotian Han
2025	—	`conf`	100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? ACL (Findings) Wang Yang, Hongye Jin, Shaochen Zhong, Song Jiang, Qifan Wang, Vipin Chaudhary, Xiaotian Han
2025	J	`jnl`	100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? CoRR Wang Yang, Hongye Jin, Shaochen Zhong, Song Jiang, Qifan Wang, Vipin Chaudhary, Xiaotian Han
2025	—	`conf`	AI-Augmented Parameter Initialization for QAOA. DSN-W Jai Nana, Xinpeng Li, Ning Xie, Shusen Pu, Yifan Yu, Qiang Guan, Xiaotian Han, Shuai Xu, Vipin Chaudhary
2025	J	`jnl`	All You Need is One: Capsule Prompt Tuning with a Single Vector. CoRR Yiyang Liu, James Chenhao Liang, Heng Fan, Wenhao Yang, Yiming Cui, Xiaotian Han, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han
2025	J	`jnl`	Associations between effectiveness of blended learning, student engagement, student learning outcomes, and student academic motivation in higher education. Educ. Inf. Technol. Xiaotian Han
2025	—	`conf`	CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation. ACL (Findings) Nengbo Wang, Xiaotian Han, Jagdip Singh, Jing Ma, Vipin Chaudhary
2025	J	`jnl`	CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation. CoRR Nengbo Wang, Xiaotian Han, Jagdip Singh, Jing Ma, Vipin Chaudhary
2025	J	`jnl`	Demystifying Hybrid Thinking: Can LLMs Truly Switch Between Think and No-Think? CoRR Shouren Wang, Wang Yang, Xianxuan Long, Qifan Wang, Vipin Chaudhary, Xiaotian Han
2025	J	`jnl`	Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks. CoRR Debargha Ganguly, Vikash Singh, Sreehari Sankar, Biyao Zhang, Xuecen Zhang, Srinivasan Iyengar, Xiaotian Han, Amit Sharma, Shivkumar Kalyanaraman, Vipin Chaudhary
2025	J	`jnl`	InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization. CoRR 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
2025	J	`jnl`	InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners. CoRR Yuhang Liu, Pengxiang Li, Congkai Xie, Xavier Hu, Xiaotian Han, Shengyu Zhang, Hongxia Yang, Fei Wu
2025	J	`jnl`	InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection. CoRR Yuhang Liu, Pengxiang Li, Zishu Wei, Congkai Xie, Xueyu Hu, Xinchen Xu, Shengyu Zhang, Xiaotian Han, Hongxia Yang, Fei Wu
2025	—	`conf`	InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning. EMNLP (Findings) Xiaotian Han, Yiren Jian, Xuefeng Hu, Haogeng Liu, Yiqi Wang, Qihang Fan, Yuang Ai, Huaibo Huang, Ran He, Zhenheng Yang, Quanzeng You
2025	J	`jnl`	InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning. CoRR 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
2025	J	`jnl`	Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning. CoRR Wang Yang, Zirui Liu, Hongye Jin, Qingyu Yin, Vipin Chaudhary, Xiaotian Han
2025	A*	`conf`	MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper. EMNLP Runjia Zeng, Guangyan Sun, Qifan Wang, Tong Geng, Sohail A. Dianat, Xiaotian Han, Raghuveer Rao, Xueling Zhang, Cheng Han, Lifu Huang, Dongfang Liu
2025	J	`jnl`	MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper. CoRR Runjia Zeng, Guangyan Sun, Qifan Wang, Tong Geng, Sohail A. Dianat, Xiaotian Han, Raghuveer Rao, Xueling Zhang, Cheng Han, Lifu Huang, Dongfang Liu
2025	J	`jnl`	More for Keys, Less for Values: Adaptive KV Cache Quantization. CoRR Mohsen Hariri, Lam Nguyen, Sixu Chen, Shaochen Zhong, Qifan Wang, Xia Ben Hu, Xiaotian Han, Vipin Chaudhary
2025	—	`conf`	Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs. EMNLP (Findings) Yao Fu, Runchao Li, Xianxuan Long, Haotian Yu, Xiaotian Han, Yu Yin, Pan Li
2025	J	`jnl`	Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs. CoRR Yao Fu, Runchao Li, Xianxuan Long, Haotian Yu, Xiaotian Han, Yin Yu, Pan Li
2025	A*	`conf`	Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs. EMNLP Yao Fu, Xianxuan Long, Runchao Li, Haotian Yu, Mu Sheng, Xiaotian Han, Yu Yin, Pan Li
2025	J	`jnl`	Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs. CoRR Yao Fu, Xianxuan Long, Runchao Li, Haotian Yu, Mu Sheng, Xiaotian Han, Yin Yu, Pan Li
2025	J	`jnl`	SELF: Self-Extend the Context Length With Logistic Growth Function. CoRR Phat Thanh Dang, Saahil Thoppay, Wang Yang, Qifan Wang, Vipin Chaudhary, Xiaotian Han
2025	J	`jnl`	Speculative Thinking: Enhancing Small-Model Reasoning with Large Model Guidance at Inference Time. CoRR Wang Yang, Xiang Yue, Vipin Chaudhary, Xiaotian Han
2025	J	`jnl`	Thinking Preference Optimization. CoRR Wang Yang, Hongye Jin, Jingfeng Yang, Vipin Chaudhary, Xiaotian Han
2025	A*	`conf`	When Truthful Representations Flip Under Deceptive Instructions? EMNLP Xianxuan Long, Yao Fu, Runchao Li, Mu Sheng, Haotian Yu, Xiaotian Han, Pan Li
2025	J	`jnl`	When Truthful Representations Flip Under Deceptive Instructions? CoRR Xianxuan Long, Yao Fu, Runchao Li, Mu Sheng, Haotian Yu, Xiaotian Han, Pan Li
2025	—	`conf`	You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time. CPAL Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Hu
2025	J	`jnl`	You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time. CoRR Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Ben Hu
2024	J	`jnl`	BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data. CoRR 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
2024	A	`conf`	COCO is "ALL" You Need for Visual Instruction Fine-tuning. ICME Xiaotian Han, Yiqi Wang, Bohan Zhai, Quanzeng You, Hongxia Yang
2024	J	`jnl`	COCO is "ALL" You Need for Visual Instruction Fine-tuning. CoRR Xiaotian Han, Yiqi Wang, Bohan Zhai, Quanzeng You, Hongxia Yang
2024	A*	`conf`	Chasing Fairness in Graphs: A GNN Architecture Perspective. AAAI Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
2024	A*	`conf`	DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation. NeurIPS Yuang Ai, Xiaoqiang Zhou, Huaibo Huang, Xiaotian Han, Zhengyu Chen, Quanzeng You, Hongxia Yang
2024	J	`jnl`	DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation. CoRR Yuang Ai, Xiaoqiang Zhou, Huaibo Huang, Xiaotian Han, Zheng Chen, Quanzeng You, Hongxia Yang
2024	J	`jnl`	Dynamic Self-Distillation via Previous Mini-batches for Fine-tuning Small Language Models. CoRR Yao Fu, Yin Yu, Xiaotian Han, Runchao Li, Xianxuan Long, Haotian Yu, Pan Li
2024	J	`jnl`	Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal Reasoning. CoRR Yiqi Wang, Wentao Chen, Xiaotian Han, Xudong Lin, Haiteng Zhao, Yongfei Liu, Bohan Zhai, Jianbo Yuan, Quanzeng You, Hongxia Yang
2024	A*	`conf`	FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. ICLR Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
2024	—	`conf`	Generative Artificial Intelligence for Future Education: Current Research Status, Hot Spots, and Research Trends. ICACS Xiaotian Han
2024	A*	`conf`	Gradient Rewiring for Editable Graph Neural Network Training. NeurIPS Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu
2024	J	`jnl`	Gradient Rewiring for Editable Graph Neural Network Training. CoRR Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu
2024	J	`jnl`	Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. ACM Trans. Knowl. Discov. Data Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, Xia Ben Hu
2024	J	`jnl`	InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding. CoRR Haogeng Liu, Quanzeng You, Xiaotian Han, Yiqi Wang, Bohan Zhai, Yongfei Liu, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang
2024	J	`jnl`	InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning. CoRR Xiaotian Han, Yiren Jian, Xuefeng Hu, Haogeng Liu, Yiqi Wang, Qihang Fan, Yuang Ai, Huaibo Huang, Ran He, Zhenheng Yang, Quanzeng You
2024	—	`conf`	InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model. ACL (Findings) Haogeng Liu, Quanzeng You, Yiqi Wang, Xiaotian Han, Bohan Zhai, Yongfei Liu, Wentao Chen, Yiren Jian, Yunzhe Tao, Jianbo Yuan, Ran He, Hongxia Yang
2024	J	`jnl`	LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning. CoRR Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu
2024	A*	`conf`	LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning. ICML Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu
2024	J	`jnl`	NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models. CoRR 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
2024	J	`jnl`	On the Equivalence of Graph Convolution and Mixup. Trans. Mach. Learn. Res. 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
2024	—	`conf`	PokeMQA: Programmable knowledge editing for Multi-hop Question Answering. ACL (1) Hengrui Gu, Kaixiong Zhou, Xiaotian Han, Ninghao Liu, Ruobing Wang, Xin Wang
2024	J	`jnl`	ViTAR: Vision Transformer with Any Resolution. CoRR Qihang Fan, Quanzeng You, Xiaotian Han, Yongfei Liu, Yunzhe Tao, Huaibo Huang, Ran He, Hongxia Yang
2024	A*	`conf`	Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model. NeurIPS Haogeng Liu, Quanzeng You, Xiaotian Han, Yongfei Liu, Huaibo Huang, Ran He, Hongxia Yang
2024	J	`jnl`	Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model. CoRR Haogeng Liu, Quanzeng You, Xiaotian Han, Yongfei Liu, Huaibo Huang, Ran He, Hongxia Yang
2023	J	`jnl`	Beyond Fairness: Age-Harmless Parkinson's Detection via Voice. CoRR Yicheng Wang, Xiaotian Han, Leisheng Yu, Na Zou
2023	J	`jnl`	CORE-MM: Complex Open-Ended Reasoning Evaluation For Multi-Modal Large Language Models. CoRR Xiaotian Han, Quanzeng You, Yongfei Liu, Wentao Chen, Huangjie Zheng, Khalil Mrini, Xudong Lin, Yiqi Wang, Bohan Zhai, Jianbo Yuan, Heng Wang, Hongxia Yang
2023	A*	`conf`	Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach. NeurIPS Zhimeng Stephen Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu
2023	J	`jnl`	Chasing Fairness in Graphs: A GNN Architecture Perspective. CoRR Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
2023	J	`jnl`	Does Synthetic Data Generation of LLMs Help Clinical Text Mining? CoRR Ruixiang Tang, Xiaotian Han, Xiaoqian Jiang, Xia Hu
2023	J	`jnl`	FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. CoRR Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
2023	J	`jnl`	GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length. CoRR Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Chia-Yuan Chang, Xia Hu
2023	J	`jnl`	Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. CoRR Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, Xia Hu
2023	A*	`conf`	MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. ICLR Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah
2023	A	`conf`	MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark. WACV Xiaotian Han, Quanzeng You, Chunyu Wang, Zhizheng Zhang, Peng Chu, Houdong Hu, Jiang Wang, Zicheng Liu
2023	J	`jnl`	Marginal Nodes Matter: Towards Structure Fairness in Graphs. CoRR Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou
2023	J	`jnl`	Marginal Nodes Matter: Towards Structure Fairness in Graphs. SIGKDD Explor. Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou
2023	J	`jnl`	On the Equivalence of Graph Convolution and Mixup. CoRR 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
2023	J	`jnl`	PokeMQA: Programmable knowledge editing for Multi-hop Question Answering. CoRR Hengrui Gu, Kaixiong Zhou, Xiaotian Han, Ninghao Liu, Ruobing Wang, Xin Wang
2023	J	`jnl`	Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity. CoRR Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
2023	J	`jnl`	Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity. Trans. Mach. Learn. Res. Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
2023	J	`jnl`	Towards Assumption-free Bias Mitigation. CoRR Chia-Yuan Chang, Yu-Neng Chuang, Kwei-Herng Lai, Xiaotian Han, Xia Hu, Na Zou
2023	J	`jnl`	Weight Perturbation Can Help Fairness under Distribution Shift. CoRR Zhimeng Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Na Zou, Xia Ben Hu
2022	J	`jnl`	Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture. CoRR Yicheng Wang, Xiaotian Han, Chia-Yuan Chang, Daochen Zha, Ulisses Braga-Neto, Xia Hu
2022	J	`jnl`	FMP: Toward Fair Graph Message Passing against Topology Bias. CoRR Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
2022	A*	`conf`	G-Mixup: Graph Data Augmentation for Graph Classification. ICML Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu
2022	J	`jnl`	G-Mixup: Graph Data Augmentation for Graph Classification. CoRR Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu
2022	A*	`conf`	Generalized Demographic Parity for Group Fairness. ICLR Zhimeng Jiang, Xiaotian Han, Chao Fan, Fan Yang, Ali Mostafavi, Xia Hu
2022	A*	`conf`	Geometric Graph Representation Learning via Maximizing Rate Reduction. WWW Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
2022	J	`jnl`	Geometric Graph Representation Learning via Maximizing Rate Reduction. CoRR Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
2022	J	`jnl`	MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. CoRR Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah
2021	J	`jnl`	Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu
2021	—	`conf`	How Does AI Engage in Education? A Quantitative Research on AI Curriculum and Instruction in Public Primary Schools. ICETM Xiaotian Han
2021	J	`jnl`	Image Scene Graph Generation (SGG) Benchmark. CoRR Xiaotian Han, Jianwei Yang, Houdong Hu, Lei Zhang, Jianfeng Gao, Pengchuan Zhang
2021	J	`jnl`	MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark. CoRR Xiaotian Han, Quanzeng You, Chunyu Wang, Zhizheng Zhang, Peng Chu, Houdong Hu, Jiang Wang, Zicheng Liu
2020	J	`jnl`	A Novel Hybrid Auction Algorithm for Multi-UAVs Dynamic Task Assignment. IEEE Access Xiaojun Duan, Huiying Liu, Hong Tang, Qing Cai, Fan Zhang, Xiaotian Han
2020	A	`conf`	AutoRec: An Automated Recommender System. RecSys Ting-Hsiang Wang, Xia Hu, Haifeng Jin, Qingquan Song, Xiaotian Han, Zirui Liu
2020	J	`jnl`	AutoRec: An Automated Recommender System. CoRR Ting-Hsiang Wang, Qingquan Song, Xiaotian Han, Zirui Liu, Haifeng Jin, Xia Hu
2020	J	`jnl`	Embedding geographic information for anomalous trajectory detection. World Wide Web Ding Xiao, Li Song, Ruijia Wang, Xiaotian Han, Yanan Cai, Chuan Shi
2020	A*	`conf`	FlowScope: Spotting Money Laundering Based on Graphs. AAAI Xiangfeng Li, Shenghua Liu, Zifeng Li, Xiaotian Han, Chuan Shi, Bryan Hooi, He Huang, Xueqi Cheng
2019	J	`jnl`	Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. CoRR Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu
2019	A*	`conf`	Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation. KDD Shaohua Fan, Junxiong Zhu, Xiaotian Han, Chuan Shi, Linmei Hu, Biyu Ma, Yongliang Li
2018	C	`conf`	Anomalous Trajectory Detection Using Recurrent Neural Network. ADMA Li Song, Ruijia Wang, Ding Xiao, Xiaotian Han, Yanan Cai, Chuan Shi
2018	A*	`conf`	Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks. IJCAI Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song
2018	—	`conf`	Representation Learning with Depth and Breadth for Recommendation Using Multi-view Data. APWeb/WAIM (1) Xiaotian Han, Chuan Shi, Lei Zheng, Philip S. Yu, Jianxin Li, Yuanfu Lu
2017	—	`conf`	DMGroup at EmoInt-2017: Emotion Intensity Using Ensemble Method. WASSA@EMNLP Song Jiang, Xiaotian Han