Liang Xie

According to our database, Liang Xie authored at least 27 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, July, 2025

GeoCAD: Local Geometry-Controllable CAD Generation.

Zhanwei Zhang, Kaiyuan Liu, Junjie Liu, Wenxiao Wang, Binbin Lin, Liang Xie, Chen Shen, Deng Cai

CoRR, June, 2025

A Weakly-Supervised Cross-Domain Query Framework for Video Camouflage Object Detection.

Zelin Lu, Liang Xie, Xing Zhao, Binwei Xu, Haoran Liang, Ronghua Liang

IEEE Trans. Circuits Syst. Video Technol., February, 2025

Semantic-aware representations for unsupervised Camouflaged Object Detection.

Zelin Lu, Xing Zhao, Liang Xie, Haoran Liang, Ronghua Liang

J. Vis. Commun. Image Represent., 2025

Dual Graph for Traffic Forecasting.

Long Wei, Zhengxu Yu, Zhongming Jin, Liang Xie, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

IEEE Access, 2025

From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks.

Xiaofeng Zhang, Yihao Quan, Chen Shen, Xiaosong Yuan, Shaotian Yan, Liang Xie, Wenxiao Wang, Chaochen Gu, Hao Tang, Jieping Ye

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Concise and Organized Perception Facilitates Reasoning in Large Language Models.

Junjie Liu, Shaotian Yan, Chen Shen, Zhengdong Xiao, Liang Xie, Wenxiao Wang, Jieping Ye

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

SCLSTE: Semi-supervised Contrastive Learning-Guided Scene Text Editing.

Min Yin, Liang Xie, Haoran Liang, Xing Zhao, Ben Chen, Ronghua Liang

Proceedings of the MultiMedia Modeling, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning.

Chenxi Huang, Shaotian Yan, Liang Xie, Binbin Lin, Sinan Fan, Yue Xin, Deng Cai, Chen Shen, Jieping Ye

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Hierarchical multi-modal video summarization with dynamic sampling.

Lingjian Yu, Xing Zhao, Liang Xie, Haoran Liang, Ronghua Liang

IET Image Process., 2024

SciPIP: An LLM-based Scientific Paper Idea Proposer.

Wenxiao Wang, Lihui Gu, Liye Zhang, Yunxiang Luo, Yi Dai, Chen Shen, Liang Xie, Binbin Lin, Xiaofei He, Jieping Ye

CoRR, 2024

From Redundancy to Relevance: Enhancing Explainability in Multimodal Large Language Models.

Xiaofeng Zhang, Chen Shen, Xiaosong Yuan, Shaotian Yan, Liang Xie, Wenxiao Wang, Chaochen Gu, Hao Tang, Jieping Ye

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Neural collapse inspired attraction-repulsion-balanced loss for imbalanced learning.

Liang Xie, Yibo Yang, Deng Cai, Xiaofei He

Neurocomputing, March, 2023

X-View: Non-Egocentric Multi-View 3D Object Detector.

Liang Xie, Guodong Xu, Deng Cai, Xiaofei He

IEEE Trans. Image Process., 2023

Neural Collapse Inspired Federated Learning with Non-iid Data.

Chenxi Huang, Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai

CoRR, 2023

General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment.

Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai, Xiaofei He

CoRR, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Stable Learning via Causality-based Feature Rectification.

Zhengxu Yu, Pengfei Wang, Junkai Xu, Liang Xie, Zhongming Jin, Jianqiang Huang, Xiaofei He, Deng Cai, Xian-Sheng Hua

CoRR, 2020

Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds.

Guodong Xu, Wenxiao Wang, Zili Liu, Liang Xie, Zheng Yang, Haifeng Liu, Deng Cai

CoRR, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020