Liu, Xuan

21 publications

ICLR 2025 Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View Xuan Liu, Jie Zhang, HaoYang Shang, Song Guo, Chengxu Yang, Quanyan Zhu
NeurIPS 2025 FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models Xuan Liu, Siru Ouyang, Xianrui Zhong, Jiawei Han, Huimin Zhao
AAAI 2025 Knowledge-Guided Domain Adaptation Model for Transferring Drug Response Prediction from Cell Lines to Patients Xuan Liu, Menglu Li
CVPR 2025 LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning Xuan Liu, Xiaobin Chang
AAAI 2025 Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion Xuan Liu, Siqi Cai, Qihua Zhou, Song Guo, Ruibin Li, Kaiwei Lin
NeurIPS 2025 Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data Zi Liang, Qingqing Ye, Xuan Liu, Yanyun Wang, Jianliang Xu, Haibo Hu
AAAI 2024 A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation Yongkang Wang, Xuan Liu, Feng Huang, Zhankun Xiong, Wen Zhang
IJCAI 2024 Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation Yaohua Liu, Jiaxin Gao, Xuan Liu, Xianghao Jiao, Xin Fan, Risheng Liu
AAAI 2024 Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning Yanwen Ba, Xuan Liu, Xinning Chen, Hao Wang, Yang Xu, Kenli Li, Shigeng Zhang
IJCAI 2024 Selective Learning for Sample-Efficient Training in Multi-Agent Sparse Reward Tasks (Extended Abstract) Xinning Chen, Xuan Liu, Yanwen Ba, Shigeng Zhang, Bo Ding, Kenli Li
ICML 2024 Structured Chemistry Reasoning with Large Language Models Siru Ouyang, Zhuosheng Zhang, Bing Yan, Xuan Liu, Yejin Choi, Jiawei Han, Lianhui Qin
IJCAI 2024 ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-Modal Uniform Alignment Ziyan Wang, Zhankun Xiong, Feng Huang, Xuan Liu, Wen Zhang
NeurIPS 2023 Learning Dictionary for Visual Attention Yingjie Liu, Xuan Liu, Hui Yu, Xuan Tang, Xian Wei
AAAI 2023 MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract) Xuan Liu, Siqi Cai, Lin Li, Rui Zhang, Song Guo
AAAI 2023 Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction Zhankun Xiong, Shichao Liu, Feng Huang, Ziyan Wang, Xuan Liu, Zhongfei Zhang, Wen Zhang
IJCAI 2023 Multi-View Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction Luotao Liu, Feng Huang, Xuan Liu, Zhankun Xiong, Menglu Li, Congzhi Song, Wen Zhang
IJCAI 2022 Goal Consistency: An Effective Multi-Agent Cooperative Method for Multistage Tasks Xinning Chen, Xuan Liu, Shigeng Zhang, Bo Ding, Kenli Li
ICML 2022 Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-Training Risheng Liu, Xuan Liu, Shangzhi Zeng, Jin Zhang, Yixuan Zhang
AAAI 2022 The Psychology of Semantic Spaces: Experiments with Positive Emotion (Student Abstract) Xuan Liu, Kokil Jaidka, Niyati Chayya
ICML 2021 A Value-Function-Based Interior-Point Method for Non-Convex Bi-Level Optimization Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
ICCV 2021 Self-Supervised Image Prior Learning with GMM from a Single Noisy Image Haosen Liu, Xuan Liu, Jiangbo Lu, Shan Tan