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Junzhe Zhang
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2020 – today
- 2024
- [j9]Le Gao, Jiaxin Yu, Junzhe Zhang, Yin Tang, Quansi Wen:
AASSI: A Self-Sovereign Identity Protocol With Anonymity and Accountability. IEEE Access 12: 58378-58394 (2024) - [j8]Bo Zhou, Gregory S. Okin, Junzhe Zhang, Shannon L. Savage, Christopher J. Cole, Michael C. Duniway:
Ecological Dissimilarity Matters More Than Geographical Distance When Predicting Land Surface Indicators Using Machine Learning. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [c38]Alexis Bellot, Junzhe Zhang, Elias Bareinboim:
Scores for Learning Discrete Causal Graphs with Unobserved Confounders. AAAI 2024: 11043-11051 - [c37]Shalmali Joshi, Junzhe Zhang, Elias Bareinboim:
Towards Safe Policy Learning under Partial Identifiability: A Causal Approach. AAAI 2024: 13004-13012 - [c36]Mingxuan Li, Junzhe Zhang, Elias Bareinboim:
Causally Aligned Curriculum Learning. ICLR 2024 - [c35]Ali Fakhry, Thaison Le, Junzhe Zhang, Rui Li:
TAJ: A Platform for Integrating Tumor Detection and Depth Perception for Endoscopic Surgery. ISMR 2024: 1-7 - [i19]Junzhe Zhang, Huixuan Zhang, Xiaojun Wan:
Entity-Aware Multimodal Alignment Framework for News Image Captioning. CoRR abs/2402.19404 (2024) - [i18]Huixuan Zhang, Junzhe Zhang, Xiaojun Wan:
Evaluating and Mitigating Number Hallucinations in Large Vision-Language Models: A Consistency Perspective. CoRR abs/2403.01373 (2024) - [i17]Junzhe Zhang, Huixuan Zhang, Xunjian Yin, Baizhou Huang, Xu Zhang, Xinyu Hu, Xiaojun Wan:
MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency. CoRR abs/2406.13219 (2024) - 2023
- [j7]Liang Pan, Xinyi Chen, Zhongang Cai, Junzhe Zhang, Haiyu Zhao, Shuai Yi, Ziwei Liu:
Variational Relational Point Completion Network for Robust 3D Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11340-11351 (2023) - [j6]Wei Guo, Xiangnan Ni, Yi Mu, Tong Liu, Junzhe Zhang:
Detection and Attribution of Alpine Inland Lake Changes by Using Random Forest Algorithm. Remote. Sens. 15(4): 1144 (2023) - [c34]Junzhe Zhang, Xiaojun Wan:
Exploring the Impact of Vision Features in News Image Captioning. ACL (Findings) 2023: 12923-12936 - [c33]Ben Fei, Zhaoyang Lyu, Liang Pan, Junzhe Zhang, Weidong Yang, Tianyue Luo, Bo Zhang, Bo Dai:
Generative Diffusion Prior for Unified Image Restoration and Enhancement. CVPR 2023: 9935-9946 - [c32]Junzhe Zhang, Yushi Lan, Shuai Yang, Fangzhou Hong, Quan Wang, Chai Kiat Yeo, Ziwei Liu, Chen Change Loy:
DeformToon3d: Deformable Neural Radiance Fields for 3D Toonification. ICCV 2023: 9110-9120 - [c31]Kangrui Ruan, Junzhe Zhang, Xuan Di, Elias Bareinboim:
Causal Imitation Learning via Inverse Reinforcement Learning. ICLR 2023 - [c30]Junzhe Zhang, Tong Chen, Dandan Ding, Zhan Ma:
G-PCC++: Enhanced Geometry-based Point Cloud Compression. ACM Multimedia 2023: 1352-1363 - [i16]Ben Fei, Zhaoyang Lyu, Liang Pan, Junzhe Zhang, Weidong Yang, Tianyue Luo, Bo Zhang, Bo Dai:
Generative Diffusion Prior for Unified Image Restoration and Enhancement. CoRR abs/2304.01247 (2023) - [i15]Liang Pan, Xinyi Chen, Zhongang Cai, Junzhe Zhang, Haiyu Zhao, Shuai Yi, Ziwei Liu:
Variational Relational Point Completion Network for Robust 3D Classification. CoRR abs/2304.09131 (2023) - [i14]Junzhe Zhang, Yushi Lan, Shuai Yang, Fangzhou Hong, Quan Wang, Chai Kiat Yeo, Ziwei Liu, Chen Change Loy:
DeformToon3D: Deformable 3D Toonification from Neural Radiance Fields. CoRR abs/2309.04410 (2023) - 2022
- [j5]Yang Chen, Junzhe Zhang, Chai Kiat Yeo:
Privacy-preserving knowledge transfer for intrusion detection with federated deep autoencoding gaussian mixture model. Inf. Sci. 609: 1204-1220 (2022) - [j4]Junzhe Zhang:
A Hybrid Clustering Method with a Filter Feature Selection for Hyperspectral Image Classification. J. Imaging 8(7): 180 (2022) - [c29]Junzhe Zhang, Elias Bareinboim:
Can Humans Be out of the Loop? CLeaR 2022: 1010-1025 - [c28]Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Junzhe Zhang:
ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing. ECCV (2) 2022: 482-498 - [c27]Junzhe Zhang, Daxuan Ren, Zhongang Cai, Chai Kiat Yeo, Bo Dai, Chen Change Loy:
Monocular 3D Object Reconstruction with GAN Inversion. ECCV (1) 2022: 673-689 - [c26]Junzhe Zhang, Jin Tian, Elias Bareinboim:
Partial Counterfactual Identification from Observational and Experimental Data. ICML 2022: 26548-26558 - [c25]Junzhe Zhang:
Using a Decomposing Method to Analyze the Spatial-Temporal Relationship Between Vegetation Drought and Wildfire in California. IGARSS 2022: 5728-5731 - [c24]Junzhe Zhang:
Using Drone-Based Remote Sensing Products to Detect Land Surface Conditions in Drylands. IGARSS 2022: 7421-7424 - [c23]Junzhe Zhang, Elias Bareinboim:
Online Reinforcement Learning for Mixed Policy Scopes. NeurIPS 2022 - [i13]Junzhe Zhang, Daxuan Ren, Zhongang Cai, Chai Kiat Yeo, Bo Dai, Chen Change Loy:
Monocular 3D Object Reconstruction with GAN Inversion. CoRR abs/2207.10061 (2022) - [i12]Junzhe Zhang, Daniel Kumor, Elias Bareinboim:
Causal Imitation Learning with Unobserved Confounders. CoRR abs/2208.06267 (2022) - [i11]Daniel Kumor, Junzhe Zhang, Elias Bareinboim:
Sequential Causal Imitation Learning with Unobserved Confounders. CoRR abs/2208.06276 (2022) - [i10]Dandan Ding, Junzhe Zhang, Jianqiang Wang, Zhan Ma:
CARNet: Compression Artifact Reduction for Point Cloud Attribute. CoRR abs/2209.08276 (2022) - [i9]Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Junzhe Zhang:
ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing. CoRR abs/2209.15632 (2022) - 2021
- [j3]Junzhe Zhang, Wei Guo, Bo Zhou, Gregory S. Okin:
Drone-Based Remote Sensing for Research on Wind Erosion in Drylands: Possible Applications. Remote. Sens. 13(2): 283 (2021) - [c22]Junzhe Zhang, Elias Bareinboim:
Bounding Causal Effects on Continuous Outcome. AAAI 2021: 12207-12215 - [c21]Xinze Zhang, Junzhe Zhang, Zhenhua Chen, Kun He:
Crafting Adversarial Examples for Neural Machine Translation. ACL/IJCNLP (1) 2021: 1967-1977 - [c20]Junzhe Zhang, Xinyi Chen, Zhongang Cai, Liang Pan, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Bo Dai, Chen Change Loy:
Unsupervised 3D Shape Completion Through GAN Inversion. CVPR 2021: 1768-1777 - [c19]Liang Pan, Xinyi Chen, Zhongang Cai, Junzhe Zhang, Haiyu Zhao, Shuai Yi, Ziwei Liu:
Variational Relational Point Completion Network. CVPR 2021: 8524-8533 - [c18]Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Haiyong Jiang, Zhongang Cai, Junzhe Zhang, Liang Pan, Mingyuan Zhang, Haiyu Zhao, Shuai Yi:
CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing. ICCV 2021: 12458-12467 - [c17]Junzhe Zhang, Xu Xie, Bo Zhou:
Investigated the Cause of Snow Albedo Reduction in the Himalayan Mountains by Using Remotely Sensed Products. IGARSS 2021: 4308-4311 - [c16]Daniel Kumor, Junzhe Zhang, Elias Bareinboim:
Sequential Causal Imitation Learning with Unobserved Confounders. NeurIPS 2021: 14669-14680 - [c15]Tong Wu, Liang Pan, Junzhe Zhang, Tai Wang, Ziwei Liu, Dahua Lin:
Balanced Chamfer Distance as a Comprehensive Metric for Point Cloud Completion. NeurIPS 2021: 29088-29100 - [c14]Kailong Wang, Junzhe Zhang, Guangdong Bai, Ryan K. L. Ko, Jin Song Dong:
It's Not Just the Site, It's the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN Bursts. WWW 2021: 2142-2153 - [i8]Liang Pan, Xinyi Chen, Zhongang Cai, Junzhe Zhang, Haiyu Zhao, Shuai Yi, Ziwei Liu:
Variational Relational Point Completion Network. CoRR abs/2104.10154 (2021) - [i7]Junzhe Zhang, Xinyi Chen, Zhongang Cai, Liang Pan, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Bo Dai, Chen Change Loy:
Unsupervised 3D Shape Completion through GAN Inversion. CoRR abs/2104.13366 (2021) - [i6]Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Haiyong Jiang, Zhongang Cai, Junzhe Zhang, Liang Pan, Mingyuan Zhang, Haiyu Zhao, Shuai Yi:
CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing. CoRR abs/2108.11305 (2021) - [i5]Junzhe Zhang, Jin Tian, Elias Bareinboim:
Partial Counterfactual Identification from Observational and Experimental Data. CoRR abs/2110.05690 (2021) - [i4]Tong Wu, Liang Pan, Junzhe Zhang, Tai Wang, Ziwei Liu, Dahua Lin:
Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion. CoRR abs/2111.12702 (2021) - 2020
- [j2]Fei Hao, Junzhe Zhang, Zongtao Duan, Liang Zhao, Lantian Guo, Doo-Soon Park:
Urban Area Function Zoning Based on User Relationships in Location-Based Social Networks. IEEE Access 8: 23487-23495 (2020) - [j1]Zhihua Qiao, Junzhe Zhang, Xiaoguang Qu, Jiandong Xiong:
Dynamic Self-Organizing Leader-Follower Control in a Swarm Mobile Robots System Under Limited Communication. IEEE Access 8: 53850-53856 (2020) - [c13]Zhongang Cai, Junzhe Zhang, Daxuan Ren, Cunjun Yu, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Chen Change Loy:
MessyTable: Instance Association in Multiple Camera Views. ECCV (11) 2020: 1-16 - [c12]Junzhe Zhang:
Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach. ICML 2020: 11012-11022 - [c11]Junzhe Zhang, Daniel Kumor, Elias Bareinboim:
Causal Imitation Learning With Unobserved Confounders. NeurIPS 2020 - [i3]Zhongang Cai, Junzhe Zhang, Daxuan Ren, Cunjun Yu, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Chen Change Loy:
MessyTable: Instance Association in Multiple Camera Views. CoRR abs/2007.14878 (2020) - [i2]Zhongang Cai, Cunjun Yu, Junzhe Zhang, Jiawei Ren, Haiyu Zhao:
Leveraging Localization for Multi-camera Association. CoRR abs/2008.02992 (2020)
2010 – 2019
- 2019
- [c10]Yang Chen, Junzhe Zhang, Chai Kiat Yeo:
Network Anomaly Detection Using Federated Deep Autoencoding Gaussian Mixture Model. MLN 2019: 1-14 - [c9]Junzhe Zhang, Elias Bareinboim:
Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes. NeurIPS 2019: 13401-13411 - [i1]Junzhe Zhang, Sai-Ho Yeung, Yao Shu, Bingsheng He, Wei Wang:
Efficient Memory Management for GPU-based Deep Learning Systems. CoRR abs/1903.06631 (2019) - 2018
- [c8]Junzhe Zhang, Elias Bareinboim:
Fairness in Decision-Making - The Causal Explanation Formula. AAAI 2018: 2037-2045 - [c7]Junzhe Zhang, Elias Bareinboim:
Characterizing the Limits of Autonomous Systems. AAMAS 2018: 2165-2167 - [c6]Junzhe Zhang, Elias Bareinboim:
Equality of Opportunity in Classification: A Causal Approach. NeurIPS 2018: 3675-3685 - [c5]Junzhe Zhang, Elias Bareinboim:
Non-Parametric Path Analysis in Structural Causal Models. UAI 2018: 653-662 - 2017
- [c4]Junzhe Zhang, Elias Bareinboim:
Transfer Learning in Multi-Armed Bandit: A Causal Approach. AAMAS 2017: 1778-1780 - [c3]Junzhe Zhang, Elias Bareinboim:
Transfer Learning in Multi-Armed Bandits: A Causal Approach. IJCAI 2017: 1340-1346 - 2012
- [c2]Nan Jiang, Wenquan Zhu, Minjie Mou, Lingli Wang, Junzhe Zhang:
A phenology-preserving filtering method to reduce noise in NDVI time series. IGARSS 2012: 2384-2387 - [c1]Junzhe Zhang, Wenquan Zhu, Lingli Wang, Nan Jiang:
Evaluation of similarity measure methods for hyperspectral remote sensing data. IGARSS 2012: 4138-4141
Coauthor Index
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last updated on 2024-08-14 23:15 CEST by the dblp team
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