Xie, Liang

20 publications

IJCAI 2025 A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting Jiankai Zheng, Liang Xie

NeurIPS 2025 Controlling Thinking Speed in Reasoning Models Zhengkai Lin, Zhihang Fu, Ze Chen, Chao Chen, Liang Xie, Wenxiao Wang, Deng Cai, Zheng Wang, Jieping Ye

CVPR 2025 De^2Gaze: Deformable and Decoupled Representation Learning for 3D Gaze Estimation Yunfeng Xiao, Xiaowei Bai, Baojun Chen, Hao Su, Hao He, Liang Xie, Erwei Yin

ICLR 2025 Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models Shaotian Yan, Chen Shen, Wenxiao Wang, Liang Xie, Junjie Liu, Jieping Ye

NeurIPS 2025 GeoCAD: Local Geometry-Controllable CAD Generation with Large Language Models Zhanwei Zhang, Kaiyuan Liu, Junjie Liu, Wenxiao Wang, Binbin Lin, Liang Xie, Chen Shen, Deng Cai

ICCV 2025 Hierarchical-Aware Orthogonal Disentanglement Framework for Fine-Grained Skeleton-Based Action Recognition Haochen Chang, Pengfei Ren, Haoyang Zhang, Liang Xie, Hongbo Chen, Erwei Yin

ICLR 2025 Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach Sinan Fan, Liang Xie, Chen Shen, Ge Teng, Xiaosong Yuan, Xiaofeng Zhang, Chenxi Huang, Wenxiao Wang, Xiaofei He, Jieping Ye

ICCV 2025 M2EIT: Multi-Domain Mixture of Experts for Robust Neural Inertial Tracking Yan Li, Yang Xu, Changhao Chen, Zhongchen Shi, Wei Chen, Liang Xie, Hongbo Chen, Erwei Yin

AAAI 2025 Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models Xiao Cui, Mo Zhu, Yulei Qin, Liang Xie, Wengang Zhou, Houqiang Li

NeurIPS 2024 Delving into the Reversal Curse: How Far Can Large Language Models Generalize? Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye

ICML 2024 From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye

NeurIPS 2024 Instance-Adaptive Zero-Shot Chain-of-Thought Prompting Xiaosong Yuan, Chen Shen, Shaotian Yan, Xiaofeng Zhang, Liang Xie, Wenxiao Wang, Renchu Guan, Ying Wang, Jieping Ye

AAAI 2024 Semi-Supervised 3D Object Detection with PatchTeacher and PillarMix Xiaopei Wu, Liang Peng, Liang Xie, Yuenan Hou, Binbin Lin, Xiaoshui Huang, Haifeng Liu, Deng Cai, Wanli Ouyang

ICCV 2023 Grounded Entity-Landmark Adaptive Pre-Training for Vision-and-Language Navigation Yibo Cui, Liang Xie, Yakun Zhang, Meishan Zhang, Ye Yan, Erwei Yin

NeurIPS 2022 Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? Yibo Yang, Shixiang Chen, Xiangtai Li, Liang Xie, Zhouchen Lin, Dacheng Tao

CVPR 2022 Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai

AAAI 2020 PI-RCNN: An Efficient Multi-Sensor 3D Object Detector with Point-Based Attentive Cont-Conv Fusion Module Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, Xiaofei He

IJCAI 2017 Dynamic Multi-View Hashing for Online Image Retrieval Liang Xie, Jialie Shen, Jungong Han, Lei Zhu, Ling Shao

IJCAI 2016 Learning Compact Visual Representation with Canonical Views for Robust Mobile Landmark Search Lei Zhu, Jialie Shen, Xiaobai Liu, Liang Xie, Liqiang Nie

AAAI 2016 Online Cross-Modal Hashing for Web Image Retrieval Liang Xie, Jialie Shen, Lei Zhu