Wu, Xian

45 publications

NeurIPS 2025 BlockScan: Detecting Anomalies in Blockchain Transactions Jiahao Yu, Xian Wu, Hao Liu, Wenbo Guo, Xinyu Xing

NeurIPS 2025 CellVerse: Do Large Language Models Really Understand Cell Biology? Fan Zhang, Tianyu Liu, Zhihong Zhu, Hao Wu, Haixin Wang, Donghao Zhou, Yefeng Zheng, Kun Wang, Xian Wu, Pheng-Ann Heng

NeurIPS 2025 D-VST: Diffusion Transformer for Pathology-Correct Tone-Controllable Cross-Dye Virtual Staining of Whole Slide Images Shurong Yang, Dong Wei, Yihuang Hu, Qiong Peng, Hong Liu, Yawen Huang, Xian Wu, Yefeng Zheng, Liansheng Wang

NeurIPS 2025 Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration Jingjun Yi, Qi Bi, Hao Zheng, Huimin Huang, Yixian Shen, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Xian Wu, Yefeng Zheng

NeurIPS 2025 GPO: Learning from Critical Steps to Improve LLM Reasoning Jiahao Yu, Zelei Cheng, Xian Wu, Xinyu Xing

AAAI 2025 Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation Derong Xu, Xinhang Li, Ziheng Zhang, Zhenxi Lin, Zhihong Zhu, Zhi Zheng, Xian Wu, Xiangyu Zhao, Tong Xu, Enhong Chen

AAAI 2025 LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng

NeurIPS 2025 Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization Hao Zheng, Jingjun Yi, Qi Bi, Huimin Huang, Haolan Zhan, Yawen Huang, Yuexiang Li, Xian Wu, Yefeng Zheng

CVPR 2025 NightAdapter: Learning a Frequency Adapter for Generalizable Night-Time Scene Segmentation Qi Bi, Jingjun Yi, Huimin Huang, Hao Zheng, Haolan Zhan, Yawen Huang, Yuexiang Li, Xian Wu, Yefeng Zheng

NeurIPS 2025 Think or Not? Exploring Thinking Efficiency in Large Reasoning Models via an Information-Theoretic Lens Xixian Yong, Xiao Zhou, Yingying Zhang, Jinlin Li, Yefeng Zheng, Xian Wu

AAAI 2024 Cooper: Coordinating Specialized Agents Towards a Complex Dialogue Goal Yi Cheng, Wenge Liu, Jian Wang, Chak Tou Leong, Yi Ouyang, Wenjie Li, Xian Wu, Yefeng Zheng

IJCAI 2024 Guiding Clinical Reasoning with Large Language Models via Knowledge Seeds Jiageng Wu, Xian Wu, Jie Yang

NeurIPS 2024 LLM-ESR: Large Language Models Enhancement for Long-Tailed Sequential Recommendation Qidong Liu, Xian Wu, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng, Xiangyu Zhao

NeurIPS 2024 MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey Xian Wu, Yutian Zhao, Yunyan Zhang, Jiageng Wu, Zhihong Zhu, Yingying Zhang, Yi Ouyang, Ziheng Zhang, Huimin Wang, Zhenxi Lin, Jie Yang, Shuang Zhao, Yefeng Zheng

AAAI 2024 Pre-Trained Online Contrastive Learning for Insurance Fraud Detection Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang

ICML 2024 RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation Zelei Cheng, Xian Wu, Jiahao Yu, Sabrina Yang, Gang Wang, Xinyu Xing

IJCAI 2024 Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach Jiasheng Wu, Xin Liu, Dawei Cheng, Yi Ouyang, Xian Wu, Yefeng Zheng

NeurIPS 2024 Soft-Label Integration for Robust Toxicity Classification Zelei Cheng, Xian Wu, Jiahao Yu, Shuo Han, Xin-Qiang Cai, Xinyu Xing

IJCAI 2024 TFCD: Towards Multi-Modal Sarcasm Detection via Training-Free Counterfactual Debiasing Zhihong Zhu, Xianwei Zhuang, Yunyan Zhang, Derong Xu, Guimin Hu, Xian Wu, Yefeng Zheng

NeurIPS 2023 StateMask: Explaining Deep Reinforcement Learning Through State Mask Zelei Cheng, Xian Wu, Jiahao Yu, Wenhai Sun, Wenbo Guo, Xinyu Xing

NeurIPS 2022 Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations Peng Jin, Jinfa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David Clifton, Jie Chen

NeurIPS 2022 Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu Sun, Yang Yang, David Clifton

IJCAI 2022 Towards Joint Intent Detection and Slot Filling via Higher-Order Attention Dongsheng Chen, Zhiqi Huang, Xian Wu, Shen Ge, Yuexian Zou

ICML 2021 Adversarial Policy Learning in Two-Player Competitive Games Wenbo Guo, Xian Wu, Sui Huang, Xinyu Xing

AAAI 2021 Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-Modality Attention Zhiqi Huang, Fenglin Liu, Xian Wu, Shen Ge, Helin Wang, Wei Fan, Yuexian Zou

NeurIPS 2021 Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation Fenglin Liu, Chenyu You, Xian Wu, Shen Ge, Sheng Wang, Xu Sun

IJCAI 2021 BACKDOORL: Backdoor Attack Against Competitive Reinforcement Learning Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song

NeurIPS 2021 EDGE: Explaining Deep Reinforcement Learning Policies Wenbo Guo, Xian Wu, Usmann Khan, Xinyu Xing

CVPR 2021 Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation Fenglin Liu, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou

AAAI 2021 U-BERT: Pre-Training User Representations for Improved Recommendation Zhaopeng Qiu, Xian Wu, Jingyue Gao, Wei Fan

ICLR 2020 Automated Relational Meta-Learning Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li

AAAI 2020 Federated Learning for Vision-and-Language Grounding Problems Fenglin Liu, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou

NeurIPS 2020 Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms Dheeraj Nagaraj, Xian Wu, Guy Bresler, Prateek Jain, Praneeth Netrapalli

AAAI 2020 On the Generation of Medical Question-Answer Pairs Sheng Shen, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, Wei Fan

AAAI 2020 PSENet: Psoriasis Severity Evaluation Network Yi Li, Zhe Wu, Shuang Zhao, Xian Wu, Yehong Kuang, Yangtian Yan, Shen Ge, Kai Wang, Wei Fan, Xiang Chen, Yong Wang

NeurIPS 2020 Prophet Attention: Predicting Attention with Future Attention Fenglin Liu, Xuancheng Ren, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou, Xu Sun

AAAI 2020 Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu

IJCAI 2019 MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction Zhi Qiao, Xian Wu, Shen Ge, Wei Fan

ICML 2018 Local Density Estimation in High Dimensions Xian Wu, Moses Charikar, Vishnu Natchu

NeurIPS 2018 Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model Aaron Sidford, Mengdi Wang, Xian Wu, Lin Yang, Yinyu Ye

ECML-PKDD 2017 UAPD: Predicting Urban Anomalies from Spatial-Temporal Data Xian Wu, Yuxiao Dong, Chao Huang, Jian Xu, Dong Wang, Nitesh V. Chawla

ECML-PKDD 2013 Detecting Marionette Microblog Users for Improved Information Credibility Xian Wu, Ziming Feng, Wei Fan, Jing Gao, Yong Yu

AAAI 2012 Sembler: Ensembling Crowd Sequential Labeling for Improved Quality Xian Wu, Wei Fan, Yong Yu

AAAI 2011 Analyzing and Predicting Not-Answered Questions in Community-Based Question Answering Services Lichun Yang, Shenghua Bao, Qingliang Lin, Xian Wu, Dingyi Han, Zhong Su, Yong Yu

ECML-PKDD 2011 ShareBoost: Boosting for Multi-View Learning with Performance Guarantees Jing Peng, Costin Barbu, Guna Seetharaman, Wei Fan, Xian Wu, Kannappan Palaniappan