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Xingxing Zhang 0001
Person information
- affiliation: Tsinghua University, Beijing, China
- affiliation (PhD 2020): Beijing Jiaotong University, Beijing, China
Other persons with the same name
- Xingxing Zhang — disambiguation page
- Xingxing Zhang 0002 — Microsoft Research Asia, China (and 1 more)
- Xingxing Zhang 0003
— Guizhou University, Guiyang, Guizhou, China (and 1 more)
- Xingxing Zhang 0004 — Nanjing University of Posts and Telecommunications, Nanjing, China
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2020 – today
- 2024
- [j18]Liyuan Wang
A Comprehensive Survey of Continual Learning: Theory, Method and Application. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5362-5383 (2024) - [j17]Ke Su
To Boost Zero-Shot Generalization for Embodied Reasoning With Vision-Language Pre-Training. IEEE Trans. Image Process. 33: 5370-5381 (2024) - [j16]Xingxing Zhang
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries. IEEE Trans. Multim. 26: 15-27 (2024) - [c12]Kanglei Zhou, Liyuan Wang, Xingxing Zhang, Hubert P. H. Shum, Frederick W. B. Li, Jianguo Li, Xiaohui Liang:
MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment. ECCV (11) 2024: 375-392 - [c11]Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu:
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning. ICML 2024 - [c10]Kanglei Zhou, Junlin Li, Ruizhi Cai, Liyuan Wang, Xingxing Zhang, Xiaohui Liang:
CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment. IJCAI 2024: 1771-1779 - [i28]Ziqi Yuan, Liyuan Wang, Wenbo Ding, Xingxing Zhang, Jiachen Zhong, Jianyong Ai, Jianmin Li, Jun Zhu:
DualTeacher: Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection. CoRR abs/2401.05362 (2024) - [i27]Kanglei Zhou
MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment. CoRR abs/2403.04398 (2024) - [i26]Kanglei Zhou
CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment. CoRR abs/2404.13999 (2024) - [i25]Chengyang Ying, Zhongkai Hao, Xinning Zhou, Xuezhou Xu, Hang Su, Xingxing Zhang, Jun Zhu:
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning. CoRR abs/2405.14073 (2024) - [i24]Hengkai Tan, Songming Liu, Kai Ma, Chengyang Ying, Xingxing Zhang, Hang Su, Jun Zhu:
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning. CoRR abs/2405.19885 (2024) - [i23]Liyuan Wang, Jingyi Xie, Xingxing Zhang, Hang Su, Jun Zhu:
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning. CoRR abs/2407.05229 (2024) - [i22]Hengkai Tan, Xuezhou Xu, Chengyang Ying, Xinyi Mao, Songming Liu, Xingxing Zhang, Hang Su, Jun Zhu:
ManiBox: Enhancing Spatial Grasping Generalization via Scalable Simulation Data Generation. CoRR abs/2411.01850 (2024) - 2023
- [j15]Liyuan Wang
Incorporating neuro-inspired adaptability for continual learning in artificial intelligence. Nat. Mac. Intell. 5(12): 1356-1368 (2023) - [j14]Jian Jin
Auto-Weighted Layer Representation Based View Synthesis Distortion Estimation for 3-D Video Coding. IEEE Trans. Multim. 25: 5775-5788 (2023) - [c9]Yilin Lyu, Liyuan Wang, Xingxing Zhang, Zicheng Sun, Hang Su, Jun Zhu, Liping Jing:
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation. NeurIPS 2023 - [c8]Liyuan Wang, Jingyi Xie, Xingxing Zhang, Mingyi Huang, Hang Su, Jun Zhu:
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality. NeurIPS 2023 - [i21]Liyuan Wang, Xingxing Zhang, Hang Su, Jun Zhu:
A Comprehensive Survey of Continual Learning: Theory, Method and Application. CoRR abs/2302.00487 (2023) - [i20]Liyuan Wang, Xingxing Zhang, Qian Li, Mingtian Zhang, Hang Su, Jun Zhu, Yi Zhong:
Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence. CoRR abs/2308.14991 (2023) - [i19]Liyuan Wang, Jingyi Xie, Xingxing Zhang, Mingyi Huang, Hang Su, Jun Zhu:
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality. CoRR abs/2310.07234 (2023) - [i18]Yilin Lyu, Liyuan Wang, Xingxing Zhang, Zicheng Sun, Hang Su, Jun Zhu, Liping Jing:
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation. CoRR abs/2310.08855 (2023) - [i17]Liyuan Wang, Jingyi Xie, Xingxing Zhang, Hang Su, Jun Zhu:
Towards a General Framework for Continual Learning with Pre-training. CoRR abs/2310.13888 (2023) - [i16]Shuai Zheng, Zhizhe Liu, Zhenfeng Zhu, Xingxing Zhang, Jianxin Li, Yao Zhao:
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer. CoRR abs/2310.17132 (2023) - 2022
- [j13]Zhiqiang Fu, Yao Zhao
Auto-weighted low-rank representation for clustering. Knowl. Based Syst. 251: 109063 (2022) - [j12]Jian Jin
Just Noticeable Difference for Deep Machine Vision. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3452-3461 (2022) - [j11]Zhizhe Liu
MFHI: Taking Modality-Free Human Identification as Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5225-5237 (2022) - [j10]Weikai Yang
Diagnosing Ensemble Few-Shot Classifiers. IEEE Trans. Vis. Comput. Graph. 28(9): 3292-3306 (2022) - [c7]Liyuan Wang, Xingxing Zhang, Qian Li
CoSCL: Cooperation of Small Continual Learners is Stronger Than a Big One. ECCV (26) 2022: 254-271 - [c6]Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu:
Memory Replay with Data Compression for Continual Learning. ICLR 2022 - [c5]Xingxing Zhang, Zhizhe Liu, Weikai Yang, Liyuan Wang, Jun Zhu:
The More, The Better? Active Silencing of Non-Positive Transfer for Efficient Multi-Domain Few-Shot Classification. ACM Multimedia 2022: 1993-2001 - [c4]Zhiqiang Fu, Yao Zhao, Dongxia Chang, Yiming Wang, Jie Wen, Xingxing Zhang, Guodong Guo:
One-step Low-Rank Representation for Clustering. ACM Multimedia 2022: 2220-2228 - [i15]Jian Jin, Xingxing Zhang, Lili Meng, Weisi Lin, Jie Liang, Huaxiang Zhang, Yao Zhao:
Auto-Weighted Layer Representation Based View Synthesis Distortion Estimation for 3-D Video Coding. CoRR abs/2201.02420 (2022) - [i14]Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu:
Memory Replay with Data Compression for Continual Learning. CoRR abs/2202.06592 (2022) - [i13]Weikai Yang, Xi Ye, Xingxing Zhang, Lanxi Xiao, Jiazhi Xia, Zhongyuan Wang, Jun Zhu, Hanspeter Pfister
Diagnosing Ensemble Few-Shot Classifiers. CoRR abs/2206.04372 (2022) - [i12]Liyuan Wang, Xingxing Zhang, Qian Li, Jun Zhu, Yi Zhong:
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One. CoRR abs/2207.06543 (2022) - [i11]Jian Jin, Yuan Xue, Xingxing Zhang, Lili Meng, Yao Zhao, Weisi Lin:
HVS-Inspired Signal Degradation Network for Just Noticeable Difference Estimation. CoRR abs/2208.07583 (2022) - 2021
- [j9]Zhenfeng Zhu
To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene. IEEE Trans. Circuits Syst. Video Technol. 31(2): 492-502 (2021) - [c3]Zhiqiang Fu, Yao Zhao, Dongxia Chang, Xingxing Zhang, Yiming Wang:
Double Low-Rank Representation With Projection Distance Penalty for Clustering. CVPR 2021: 5320-5329 - [i10]Jian Jin, Xingxing Zhang, Xin Fu, Huan Zhang, Weisi Lin, Jian Lou, Yao Zhao:
Does deep machine vision have just noticeable difference (JND)? CoRR abs/2102.08168 (2021) - [i9]Zhiqiang Fu, Yao Zhao, Dongxia Chang, Xingxing Zhang, Yiming Wang:
Auto-weighted low-rank representation for clustering. CoRR abs/2104.12308 (2021) - 2020
- [j8]Xingxing Zhang, Zhenfeng Zhu, Yao Zhao, Yawei Zhao:
ProLFA: Representative prototype selection for local feature aggregation. Neurocomputing 381: 336-347 (2020) - [j7]Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng
Convolutional prototype learning for zero-shot recognition. Image Vis. Comput. 98: 103924 (2020) - [j6]Meixiang Xu, Zhenfeng Zhu
Canonical Correlation Analysis With L2, 1-Norm for Multiview Data Representation. IEEE Trans. Cybern. 50(11): 4772-4782 (2020) - [j5]Xingxing Zhang
Hierarchical Prototype Learning for Zero-Shot Recognition. IEEE Trans. Multim. 22(7): 1692-1703 (2020) - [c2]Shuai Zheng
Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning. CVPR 2020: 7222-7231 - [i8]Fuzhen Li, Zhenfeng Zhu, Xingxing Zhang, Jian Cheng, Yao Zhao:
From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition. CoRR abs/2002.03554 (2020) - [i7]Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng:
Taking Modality-free Human Identification as Zero-shot Learning. CoRR abs/2010.00975 (2020)
2010 – 2019
- 2019
- [j4]Fuzhen Li, Zhenfeng Zhu, Xingxing Zhang, Jian Cheng, Yao Zhao:
Diffusion induced graph representation learning. Neurocomputing 360: 220-229 (2019) - [j3]Xingxing Zhang
Seeing All From a Few: ℓ1-Norm-Induced Discriminative Prototype Selection. IEEE Trans. Neural Networks Learn. Syst. 30(7): 1954-1966 (2019) - [i6]Zhizhe Liu, Xingxing Zhang, Zhenfeng Zhu, Shuai Zheng, Yao Zhao, Jian Cheng:
Convolutional Prototype Learning for Zero-Shot Recognition. CoRR abs/1910.09728 (2019) - [i5]Xingxing Zhang, Shupeng Gui, Zhenfeng Zhu, Yao Zhao, Ji Liu:
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries. CoRR abs/1910.10994 (2019) - [i4]Xingxing Zhang, Zhenfeng Zhu, Yao Zhao:
ProLFA: Representative Prototype Selection for Local Feature Aggregation. CoRR abs/1910.11010 (2019) - [i3]Xingxing Zhang, Shupeng Gui, Zhenfeng Zhu, Yao Zhao, Ji Liu:
Hierarchical Prototype Learning for Zero-Shot Recognition. CoRR abs/1910.11671 (2019) - [i2]Shuai Zheng, Zhenfeng Zhu, Xingxing Zhang, Zhizhe Liu, Jian Cheng, Yao Zhao:
Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning. CoRR abs/1912.01899 (2019) - [i1]Zhenfeng Zhu, Yingying Meng, Deqiang Kong, Xingxing Zhang, Yandong Guo, Yao Zhao:
To See in the Dark: N2DGAN for Background Modeling in Nighttime Scene. CoRR abs/1912.06556 (2019) - 2018
- [j2]Xingxing Zhang, Zhenfeng Zhu, Yao Zhao:
Sparsity induced prototype learning via ℓp, 1-norm grouping. J. Vis. Commun. Image Represent. 57: 192-201 (2018) - [j1]Xingxing Zhang
Learning a General Assignment Model for Video Analytics. IEEE Trans. Circuits Syst. Video Technol. 28(10): 3066-3076 (2018) - [c1]Xingxing Zhang, Zhenfeng Zhu, Yao Zhao, Deqiang Kong:
Self-Supervised Deep Low-Rank Assignment Model for Prototype Selection. IJCAI 2018: 3141-3147
Coauthor Index
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last updated on 2024-12-12 21:00 CET by the dblp team
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