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ORCIDLiang Xie 0003
Person information
- unicode name: 谢亮
- affiliation: Zhejiang University, State Key Lab of CAD&CG, Hangzhou, China
- affiliation: Fabu Inc., Hangzhou, China
Other persons with the same name
- Liang Xie — disambiguation page
- Liang Xie 0001
![[0000-0003-1718-7556]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-1718-7556")
— Wuhan University of Technology, School of Science, Department of Mathematics, China - Liang Xie 0002 — Pennsylvania State University, PA, USA
- Liang Xie 0004 — Xiangtan University, Xiangtan, China
- Liang Xie 0005 — Zhejiang University, College of Control Science and Engineering, Hangzhou, China
- Liang Xie 0006 — Southeast University, Nanjing, Jiangsu, China
- Liang Xie 0007 — DiDi, Beijing, China
- Liang Xie 0008 — National University of Defense Technology, Changsha, China
- Liang Xie 0009 — Fudan University, Shanghai, China
- Liang Xie 0010 — Nanjing University of Posts & Telecommunications, Nanjing, China
- Liang Xie 0011 — Shanghai University, School of Mechatronic Engineering and Automation, China
- Liang Xie 0012 — National Innovation Institute of Defense Technology, Academy of Military Sciences China, AMS, Beijing, China (and 1 more)
- Liang Xie 0013 — Shenzhen Graduate School, Peking University, Shenzhen, China
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2020 – today
- 2025
[j5]Zelin Lu, Xing Zhao, Liang Xie, Haoran Liang, Ronghua Liang:
Semantic-aware representations for unsupervised Camouflaged Object Detection. J. Vis. Commun. Image Represent. 107: 104366 (2025)- [j4]Zelin Lu, Liang Xie, Xing Zhao, Binwei Xu, Haoran Liang, Ronghua Liang:
A Weakly-Supervised Cross-Domain Query Framework for Video Camouflage Object Detection. IEEE Trans. Circuits Syst. Video Technol. 35(2): 1506-1518 (2025) - [c12]Xiao Cui, Mo Zhu, Yulei Qin, Liang Xie, Wengang Zhou, Houqiang Li:
Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models. AAAI 2025: 23724-23732 - [c11]Sinan Fan, Liang Xie, Chen Shen, Ge Teng, Xiaosong Yuan, Xiaofeng Zhang, Chenxi Huang, Wenxiao Wang, Xiaofei He, Jieping Ye:
Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach. ICLR 2025 - [c10]Shaotian Yan, Chen Shen, Wenxiao Wang, Liang Xie, Junjie Liu, Jieping Ye:
Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models. ICLR 2025 - [c9]Min Yin, Liang Xie, Haoran Liang, Xing Zhao, Ben Chen, Ronghua Liang:
SCLSTE: Semi-supervised Contrastive Learning-Guided Scene Text Editing. MMM (3) 2025: 410-424 - [c8]Xiaofeng Zhang, Yihao Quan, Chen Shen, Xiaosong Yuan, Shaotian Yan, Liang Xie, Wenxiao Wang, Chaochen Gu, Hao Tang, Jieping Ye:
From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks. NAACL (Long Papers) 2025: 2289-2299 - [c7]Junjie Liu, Shaotian Yan, Chen Shen, Zhengdong Xiao, Liang Xie, Wenxiao Wang, Jieping Ye:
Concise and Organized Perception Facilitates Reasoning in Large Language Models. NAACL (Findings) 2025: 3469-3498 - [i17]Shaotian Yan, Chen Shen, Wenxiao Wang, Liang Xie, Junjie Liu, Jieping Ye:
Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models. CoRR abs/2503.11154 (2025) - [i16]Sinan Fan, Liang Xie, Chen Shen, Ge Teng, Xiaosong Yuan, Xiaofeng Zhang, Chenxi Huang, Wenxiao Wang, Xiaofei He, Jieping Ye:
Improving Complex Reasoning with Dynamic Prompt Corruption: A soft prompt Optimization Approach. CoRR abs/2503.13208 (2025) - 2024
- [j3]Lingjian Yu, Xing Zhao, Liang Xie, Haoran Liang, Ronghua Liang:
Hierarchical multi-modal video summarization with dynamic sampling. IET Image Process. 18(14): 4577-4588 (2024) - [c6]Xiaopei Wu, Liang Peng, Liang Xie, Yuenan Hou, Binbin Lin, Xiaoshui Huang, Haifeng Liu, Deng Cai, Wanli Ouyang:
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix. AAAI 2024: 6153-6161 - [c5]Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye:
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. ICML 2024 - [c4]Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye:
Delving into the Reversal Curse: How Far Can Large Language Models Generalize? NeurIPS 2024 - [c3]Xiaosong Yuan, Chen Shen, Shaotian Yan, Xiaofeng Zhang, Liang Xie, Wenxiao Wang, Renchu Guan, Ying Wang, Jieping Ye:
Instance-adaptive Zero-shot Chain-of-Thought Prompting. NeurIPS 2024 - [i15]Xiaofeng Zhang, Chen Shen, Xiaosong Yuan, Shaotian Yan, Liang Xie, Wenxiao Wang, Chaochen Gu, Hao Tang, Jieping Ye:
From Redundancy to Relevance: Enhancing Explainability in Multimodal Large Language Models. CoRR abs/2406.06579 (2024) - [i14]Xiaopei Wu, Liang Peng, Liang Xie, Yuenan Hou, Binbin Lin, Xiaoshui Huang, Haifeng Liu, Deng Cai, Wanli Ouyang:
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix. CoRR abs/2407.09787 (2024) - [i13]Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye:
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. CoRR abs/2409.01658 (2024) - [i12]Xiaosong Yuan, Chen Shen, Shaotian Yan, Xiaofeng Zhang, Liang Xie, Wenxiao Wang, Renchu Guan, Ying Wang, Jieping Ye:
Instance-adaptive Zero-shot Chain-of-Thought Prompting. CoRR abs/2409.20441 (2024) - [i11]Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye:
Delving into the Reversal Curse: How Far Can Large Language Models Generalize? CoRR abs/2410.18808 (2024) - [i10]Wenxiao Wang, Lihui Gu, Liye Zhang, Yunxiang Luo, Yi Dai, Chen Shen, Liang Xie, Binbin Lin, Xiaofei He, Jieping Ye:
SciPIP: An LLM-based Scientific Paper Idea Proposer. CoRR abs/2410.23166 (2024) - [i9]Xiao Cui, Mo Zhu, Yulei Qin, Liang Xie, Wengang Zhou, Houqiang Li:
Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models. CoRR abs/2412.14528 (2024) - 2023
- [j2]Liang Xie, Yibo Yang, Deng Cai, Xiaofei He:
Neural collapse inspired attraction-repulsion-balanced loss for imbalanced learning. Neurocomputing 527: 60-70 (2023) - [j1]Liang Xie, Guodong Xu, Deng Cai, Xiaofei He:
X-View: Non-Egocentric Multi-View 3D Object Detector. IEEE Trans. Image Process. 32: 1488-1497 (2023) - [i8]Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai, Xiaofei He:
General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment. CoRR abs/2302.09907 (2023) - [i7]Chenxi Huang, Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai:
Neural Collapse Inspired Federated Learning with Non-iid Data. CoRR abs/2303.16066 (2023) - 2022
- [c2]Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai:
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion. CVPR 2022: 5408-5417 - [i6]Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai:
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion. CoRR abs/2203.09780 (2022) - [i5]Liang Xie, Yibo Yang, Deng Cai, Xiaofei He:
Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning. CoRR abs/2204.08735 (2022) - 2021
- [i4]Liang Xie, Guodong Xu, Deng Cai, Xiaofei He:
X-view: Non-egocentric Multi-View 3D Object Detector. CoRR abs/2103.13001 (2021) - 2020
- [c1]Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, Xiaofei He:
PI-RCNN: An Efficient Multi-Sensor 3D Object Detector with Point-Based Attentive Cont-Conv Fusion Module. AAAI 2020: 12460-12467 - [i3]Guodong Xu, Wenxiao Wang, Zili Liu, Liang Xie, Zheng Yang, Haifeng Liu, Deng Cai:
Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds. CoRR abs/2004.00186 (2020) - [i2]Zhengxu Yu, Pengfei Wang, Junkai Xu, Liang Xie, Zhongming Jin, Jianqiang Huang, Xiaofei He, Deng Cai, Xian-Sheng Hua:
Stable Learning via Causality-based Feature Rectification. CoRR abs/2007.15241 (2020)
2010 – 2019
- 2019
- [i1]Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, Xiaofei He:
PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module. CoRR abs/1911.06084 (2019)
Coauthor Index
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