Liu, Xue

30 publications

ICLR 2025 3DMolFormer: A Dual-Channel Framework for Structure-Based Drug Discovery Xiuyuan Hu, Guoqing Liu, Can Chen, Yang Zhao, Hao Zhang, Xue Liu

TMLR 2025 Design Editing for Offline Model-Based Optimization Ye Yuan, Youyuan Zhang, Can Chen, Haolun Wu, Melody Zixuan Li, Jianmo Li, James J. Clark, Xue Liu

ICLRW 2025 Design Editing for Offline Model-Based Optimization Ye Yuan, Youyuan Zhang, Can Chen, Haolun Wu, Melody Zixuan Li, Jianmo Li, James J. Clark, Xue Liu

NeurIPS 2025 Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies Yankai Chen, Xinni Zhang, Yifei Zhang, Yangning Li, Henry Peng Zou, Chunyu Miao, Weizhi Zhang, Xue Liu, Philip S. Yu

IJCAI 2025 Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers Chi Xu, Yili Jin, Sami Ma, Rongsheng Qian, Hao Fang, Jiangchuan Liu, Xue Liu, Edith C. H. Ngai, William I. Atlas, Katrina M. Connors, Mark A. Spoljaric

IJCAI 2025 Generative AI for Immersive Video: Recent Advances and Future Opportunities Kaiyuan Hu, Yili Jin, Hao Zhou, Linfeng Du, Jiangchuan Liu, Xue Liu

NeurIPS 2025 How to Train Your LLM Web Agent: A Statistical Diagnosis Dheeraj Vattikonda, Santhoshi Ravichandran, Emiliano Penaloza, Hadi Nekoei, Thibault Le Sellier de Chezelles, Megh Thakkar, Nicolas Gontier, Miguel Muñoz-Mármol, Sahar Omidi Shayegan, Stefania Raimondo, Xue Liu, Alexandre Drouin, Alexandre Piché, Alexandre Lacoste, Massimo Caccia

ICLR 2025 ParetoFlow: Guided Flows in Multi-Objective Optimization Ye Yuan, Can Chen, Christopher Pal, Xue Liu

AAAI 2025 Transtreaming: Adaptive Delay-Aware Transformer for Real-Time Streaming Perception Xiang Zhang, Yufei Cui, Chenchen Fu, Zihao Wang, Yuyang Sun, Xue Liu, Weiwei Wu

NeurIPS 2024 Density-Based User Representation Using Gaussian Process Regression for Multi-Interest Personalized Retrieval Haolun Wu, Ofer Meshi, Masrour Zoghi, Fernando Diaz, Xue Liu, Craig Boutilier, Maryam Karimzadehgan

ICLR 2024 Less or More from Teacher: Exploiting Trilateral Geometry for Knowledge Distillation Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Boyu Wang, Jun Yan, Xue Liu

ICMLW 2024 MoReDrop: Dropout Without Dropping Li Jiang, Duo Li, Yichuan Ding, Xue Liu, Victor Wai Kin Chan

ICLR 2024 ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion Shangyu Wu, Ying Xiong, Yufei Cui, Xue Liu, Buzhou Tang, Tei-Wei Kuo, Chun Jason Xue

TMLR 2024 Robust Guided Diffusion for Offline Black-Box Optimization Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Christopher Pal

ICML 2024 The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, Antoni B. Chan

ICML 2024 Think Before You Act: Decision Transformers with Working Memory Jikun Kang, Romain Laroche, Xingdi Yuan, Adam Trischler, Xue Liu, Jie Fu

ICLR 2023 Bayes-MIL: A New Probabilistic Perspective on Attention-Based Multiple Instance Learning for Whole Slide Images Yufei Cui, Ziquan Liu, Xiangyu Liu, Xue Liu, Cong Wang, Tei-Wei Kuo, Chun Jason Xue, Antoni B. Chan

ICML 2023 Bidirectional Learning for Offline Model-Based Biological Sequence Design Can Chen, Yingxue Zhang, Xue Liu, Mark Coates

WACV 2023 Hyperspherical Quantization: Toward Smaller and More Accurate Models Dan Liu, Xi Chen, Chen Ma, Xue Liu

NeurIPS 2023 Importance-Aware Co-Teaching for Offline Model-Based Optimization Ye Yuan, Can Chen, Zixuan Liu, Willie Neiswanger, Xue Liu

NeurIPS 2023 Parallel-Mentoring for Offline Model-Based Optimization Can Chen, Christopher Beckham, Zixuan Liu, Xue Liu, Chris Pal

NeurIPS 2023 Retrieval-Augmented Multiple Instance Learning Yufei Cui, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu, Xue Liu, Tei-Wei Kuo, Miguel Rodrigues, Chun Jason Xue, Antoni B. Chan

NeurIPS 2023 Towards Hybrid-Grained Feature Interaction Selection for Deep Sparse Network Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue Liu

NeurIPS 2022 Bidirectional Learning for Offline Infinite-Width Model-Based Optimization Can Chen, Yingxueff Zhang, Jie Fu, Xue Liu, Mark Coates

CoRL 2022 Learning Multi-Objective Curricula for Robotic Policy Learning Jikun Kang, Miao Liu, Abhinav Gupta, Christopher Pal, Xue Liu, Jie Fu

NeurIPS 2021 Generalized DataWeighting via Class-Level Gradient Manipulation Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou

AAAI 2021 Knowledge-Enhanced Top-K Recommendation in Poincaré Ball Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates

IJCAI 2020 Feature Statistics Guided Efficient Filter Pruning Hang Li, Chen Ma, Wei Xu, Xue Liu

AAAI 2020 Memory Augmented Graph Neural Networks for Sequential Recommendation Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates

AAAI 2016 DRIMUX: Dynamic Rumor Influence Minimization with User Experience in Social Networks Biao Wang, Ge Chen, Luoyi Fu, Li Song, Xinbing Wang, Xue Liu