default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHaozhao Wang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j18]Wenchao Xu
, Haozhao Wang, Zhaoyi Lu, Cunqing Hua, Nan Cheng, Song Guo:
Mobile Collaborative Learning Over Opportunistic Internet of Vehicles. IEEE Trans. Mob. Comput. 23(4): 3187-3199 (2024)- [j17]Wenchao Xu, Haodong Wan, Haozhao Wang, Nan Cheng, Quan Chen, Haibo Zhou, Song Guo:
Fast Packet Loss Inferring via Personalized Simulation-Reality Distillation. IEEE Trans. Mob. Comput. 23(5): 3696-3706 (2024) - [j16]Duyu Chen, Wenchao Xu, Haozhao Wang, Yining Qi, Ruixuan Li, Pan Zhou, Song Guo:
Caching User-Generated Content in Distributed Autonomous Networks via Contextual Bandit. IEEE Trans. Mob. Comput. 23(8): 8355-8369 (2024) - [j15]Jing Wu, Qimei Chen, Hao Jiang, Haozhao Wang, Yulai Xie, Wenzheng Xu, Pan Zhou, Zichuan Xu, Lixing Chen, Beibei Li, Xiumin Wang, Dapeng Oliver Wu:
Joint Power and Coverage Control of Massive UAVs in Post-Disaster Emergency Networks: An Aggregative Game-Theoretic Learning Approach. IEEE Trans. Netw. Sci. Eng. 11(4): 3782-3799 (2024) - [j14]Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Zichuan Xu, Haozhao Wang, Xing Di, Weining Lu, Yu Cheng:
Transform-Equivariant Consistency Learning for Temporal Sentence Grounding. ACM Trans. Multim. Comput. Commun. Appl. 20(4): 106:1-106:19 (2024) - [j13]Yichen Li, Wenchao Xu, Yining Qi, Haozhao Wang, Ruixuan Li, Song Guo:
SR-FDIL: Synergistic Replay for Federated Domain-Incremental Learning. IEEE Trans. Parallel Distributed Syst. 35(11): 1879-1890 (2024) - [j12]Jianian Zhu, Yichen Li, Haozhao Wang, Yining Qi, Ruixuan Li:
Hypernetwork-driven centralized contrastive learning for federated graph classification. World Wide Web (WWW) 27(5): 56 (2024) - [c35]Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu, Xiaocheng Lu:
ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning. AAAI 2024: 12689-12697 - [c34]Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan:
Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement. AAAI 2024: 12698-12707 - [c33]Mingjian Zhi, Yuanguo Bi, Wenchao Xu, Haozhao Wang, Tianao Xiang:
Knowledge-Aware Parameter Coaching for Personalized Federated Learning. AAAI 2024: 17069-17077 - [c32]Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li:
Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling. AAAI 2024: 18171-18179 - [c31]Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang:
Towards Efficient Replay in Federated Incremental Learning. CVPR 2024: 12820-12829 - [c30]Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Song Guo:
C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation. CVPR 2024: 16006-16015 - [c29]Yuankai Zhang, Lingxiao Kong, Haozhao Wang, Ruixuan Li, Jun Wang, Yuhua Li, Wei Liu:
Adversarial Attack for Explanation Robustness of Rationalization Models. ECAI 2024: 2290-2297 - [c28]Yichen Li, Wenchao Xu, Haozhao Wang, Yining Qi, Jingcai Guo, Ruixuan Li:
Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching. ECCV (46) 2024: 127-144 - [c27]Yuxuan Liu, Haozhao Wang, Shuang Wang, Zhiming He, Wenchao Xu, Jialiang Zhu, Fan Yang:
Disentangle Estimation of Causal Effects from Cross-Silo Data. ICASSP 2024: 6290-6294 - [c26]Zhaoyi Lu, Wenchao Xu, Xin Xie, Ming Tu, Haozhao Wang, Cunqing Hua:
Physical Layer Overshadowing Attack on Semantic Communication System. ICC 2024: 3322-3327 - [c25]Wei Liu, Haozhao Wang, Jun Wang, Zhiying Deng, Yuankai Zhang, Cheng Wang, Ruixuan Li:
Enhancing the Rationale-Input Alignment for Self-explaining Rationalization. ICDE 2024: 2218-2230 - [c24]Meng Zhang, Qinghao Hu, Cheng Wan, Haozhao Wang, Peng Sun, Yonggang Wen, Tianwei Zhang:
Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training. ICDE 2024: 3823-3836 - [c23]Haozhao Wang, Haoran Xu, Yichen Li, Yuan Xu, Ruixuan Li, Tianwei Zhang:
FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation. ICLR 2024 - [c22]Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li:
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization. ICML 2024 - [c21]Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao:
Dual Expert Distillation Network for Generalized Zero-Shot Learning. IJCAI 2024: 4833-4841 - [c20]Jinyu Chen, Wenchao Xu, Zicong Hong, Song Guo, Haozhao Wang, Jie Zhang, Deze Zeng:
OTAS: An Elastic Transformer Serving System via Token Adaptation. INFOCOM 2024: 1021-1030 - [c19]Haozhao Wang, Peirong Zheng, Xingshuo Han, Wenchao Xu, Ruixuan Li, Tianwei Zhang:
FedNLR: Federated Learning with Neuron-wise Learning Rates. KDD 2024: 3069-3080 - [c18]Haozhao Wang, Yabo Jia, Meng Zhang, Qinghao Hu, Hao Ren, Peng Sun, Yonggang Wen, Tianwei Zhang:
FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices. WWW 2024: 2902-2913 - [i31]Yunfeng Fan, Wenchao Xu, Haozhao Wang, Penghui Ruan, Song Guo:
Client-wise Modality Selection for Balanced Multi-modal Federated Learning. CoRR abs/2401.00403 (2024) - [i30]Yunfeng Fan, Wenchao Xu, Haozhao Wang, Jiaqi Zhu, Song Guo:
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration. CoRR abs/2401.00894 (2024) - [i29]Yuxuan Liu, Haozhao Wang, Shuang Wang, Zhiming He, Wenchao Xu, Jialiang Zhu, Fan Yang:
Disentangle Estimation of Causal Effects from Cross-Silo Data. CoRR abs/2401.02154 (2024) - [i28]Jinyu Chen, Wenchao Xu, Zicong Hong, Song Guo, Haozhao Wang, Jie Zhang, Deze Zeng:
OTAS: An Elastic Transformer Serving System via Token Adaptation. CoRR abs/2401.05031 (2024) - [i27]Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang:
Towards Efficient Replay in Federated Incremental Learning. CoRR abs/2403.05890 (2024) - [i26]Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao:
Dual Expert Distillation Network for Generalized Zero-Shot Learning. CoRR abs/2404.16348 (2024) - [i25]Yichen Li, Wenchao Xu, Haozhao Wang, Ruixuan Li, Yining Qi, Jingcai Guo:
Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching. CoRR abs/2407.05005 (2024) - [i24]Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junhong Liu, Song Guo:
Detached and Interactive Multimodal Learning. CoRR abs/2407.19514 (2024) - [i23]Fushuo Huo, Wenchao Xu, Zhong Zhang, Haozhao Wang, Zhicheng Chen, Peilin Zhao:
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models. CoRR abs/2408.02032 (2024) - [i22]Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li:
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization. CoRR abs/2408.03215 (2024) - [i21]Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, Ruixuan Li:
Masked Random Noise for Communication Efficient Federaetd Learning. CoRR abs/2408.03220 (2024) - [i20]Yuankai Zhang, Lingxiao Kong, Haozhao Wang, Ruixuan Li, Jun Wang, Yuhua Li, Wei Liu:
Adversarial Attack for Explanation Robustness of Rationalization Models. CoRR abs/2408.10795 (2024) - [i19]Shiwei Li, Zhuoqi Hu, Fuyuan Lyu, Xing Tang, Haozhao Wang, Shijie Xu, Weihong Luo, Yuhua Li, Xue Liu, Xiuqiang He, Ruixuan Li:
Mixed-Precision Embeddings for Large-Scale Recommendation Models. CoRR abs/2409.20305 (2024) - 2023
- [j11]Daizong Liu, Pan Zhou, Zichuan Xu, Haozhao Wang, Ruixuan Li:
Few-Shot Temporal Sentence Grounding via Memory-Guided Semantic Learning. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2491-2505 (2023) - [j10]Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, Ziming Liu:
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. IEEE Trans. Parallel Distributed Syst. 34(5): 1548-1559 (2023) - [c17]Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Xinyang Li, Yuankai Zhang, Yang Qiu:
MGR: Multi-generator Based Rationalization. ACL (1) 2023: 12771-12787 - [c16]Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junxiao Wang, Song Guo:
PMR: Prototypical Modal Rebalance for Multimodal Learning. CVPR 2023: 20029-20038 - [c15]Haozhao Wang, Yichen Li, Wenchao Xu, Ruixuan Li, Yufeng Zhan, Zhigang Zeng:
DaFKD: Domain-aware Federated Knowledge Distillation. CVPR 2023: 20412-20421 - [c14]Juan Zhao, Yuankai Zhang, Ruixuan Li, Yuhua Li, Haozhao Wang, Xiaoquan Yi, Zhiying Deng:
XFed: Improving Explainability in Federated Learning by Intersection Over Union Ratio Extended Client Selection. ECAI 2023: 3099-3106 - [c13]Haozhao Wang, Wenchao Xu, Yunfeng Fan, Ruixuan Li, Pan Zhou:
AOCC-FL: Federated Learning with Aligned Overlapping via Calibrated Compensation. INFOCOM 2023: 1-10 - [c12]Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, Yuankai Zhang, Jie Han, Yixiong Zou:
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint. KDD 2023: 1535-1547 - [c11]Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, Yuankai Zhang, Yang Qiu:
D-Separation for Causal Self-Explanation. NeurIPS 2023 - [c10]Jiashuo Wang, Haozhao Wang, Shichao Sun, Wenjie Li:
Aligning Language Models with Human Preferences via a Bayesian Approach. NeurIPS 2023 - [c9]Jiaming Li, Lang Lang, Zhenlong Zhu, Haozhao Wang, Ruixuan Li, Wenchao Xu:
Decompose, Then Reconstruct: A Framework of Network Structures for Click-Through Rate Prediction. ECML/PKDD (1) 2023: 422-437 - [i18]Yunfeng Fan, Wenchao Xu, Haozhao Wang, Jiaqi Zhu, Junxiao Wang, Song Guo:
DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning. CoRR abs/2303.07864 (2023) - [i17]Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan, Song Guo:
Offline-Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement. CoRR abs/2303.10891 (2023) - [i16]Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Zichuan Xu, Haozhao Wang, Xing Di, Weining Lu, Yu Cheng:
Transform-Equivariant Consistency Learning for Temporal Sentence Grounding. CoRR abs/2305.04123 (2023) - [i15]Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Xinyang Li, Yuankai Zhang, Yang Qiu:
MGR: Multi-generator based Rationalization. CoRR abs/2305.04492 (2023) - [i14]Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, Yuankai Zhang, Jie Han, Yixiong Zou:
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint. CoRR abs/2305.13599 (2023) - [i13]Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, Yuankai Zhang, Yang Qiu:
D-Separation for Causal Self-Explanation. CoRR abs/2309.13391 (2023) - [i12]Jiashuo Wang, Haozhao Wang, Shichao Sun, Wenjie Li:
Aligning Language Models with Human Preferences via a Bayesian Approach. CoRR abs/2310.05782 (2023) - [i11]Wei Liu, Haozhao Wang, Jun Wang, Zhiying Deng, Yuankai Zhang, Cheng Wang, Ruixuan Li:
Enhancing the Rationale-Input Alignment for Self-explaining Rationalization. CoRR abs/2312.04103 (2023) - [i10]Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li:
Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling. CoRR abs/2312.13495 (2023) - 2022
- [j9]Jie Zhang, Zhihao Qu, Chenxi Chen, Haozhao Wang, Yufeng Zhan, Baoliu Ye, Song Guo:
Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge. ACM Comput. Surv. 54(7): 151:1-151:36 (2022) - [j8]Haozhao Wang, Zhihao Qu, Qihua Zhou, Haobo Zhang, Boyuan Luo, Wenchao Xu, Song Guo, Ruixuan Li:
A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT. IEEE Internet Things J. 9(2): 939-963 (2022) - [j7]Haozhao Wang, Ruixuan Li, Chengjie Li, Pan Zhou, Yuhua Li, Wenchao Xu, Song Guo:
Gradient Scheduling With Global Momentum for Asynchronous Federated Learning in Edge Environment. IEEE Internet Things J. 9(19): 18817-18828 (2022) - [j6]Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Yutong Yang, Zhihao Qu, Yi Wang:
Heterogeneity-Aware Gradient Coding for Tolerating and Leveraging Stragglers. IEEE Trans. Computers 71(4): 779-794 (2022) - [j5]Haozhao Wang, Zhihao Qu, Song Guo, Xin Gao, Ruixuan Li, Baoliu Ye:
Intermittent Pulling With Local Compensation for Communication-Efficient Distributed Learning. IEEE Trans. Emerg. Top. Comput. 10(2): 779-791 (2022) - [j4]Zhihao Qu, Song Guo, Haozhao Wang, Baoliu Ye, Yi Wang, Albert Y. Zomaya, Bin Tang:
Partial Synchronization to Accelerate Federated Learning Over Relay-Assisted Edge Networks. IEEE Trans. Mob. Comput. 21(12): 4502-4516 (2022) - [j3]Haozhao Wang, Song Guo, Zhihao Qu, Ruixuan Li, Ziming Liu:
Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment. IEEE Trans. Parallel Distributed Syst. 33(1): 14-25 (2022) - [j2]Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Haozhao Wang, Qifeng Liu, Albert Y. Zomaya:
Adaptive Vertical Federated Learning on Unbalanced Features. IEEE Trans. Parallel Distributed Syst. 33(10): 4006-4018 (2022) - [c8]Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang:
Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression. DAC 2022: 193-198 - [c7]Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, Yuankai Zhang:
FR: Folded Rationalization with a Unified Encoder. NeurIPS 2022 - [i9]Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang:
Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression. CoRR abs/2204.06787 (2022) - [i8]Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, Yuankai Zhang:
FR: Folded Rationalization with a Unified Encoder. CoRR abs/2209.08285 (2022) - [i7]Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junxiao Wang, Song Guo:
PMR: Prototypical Modal Rebalance for Multimodal Learning. CoRR abs/2211.07089 (2022) - [i6]Jinyu Chen, Wenchao Xu, Song Guo, Junxiao Wang, Jie Zhang, Haozhao Wang:
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers. CoRR abs/2211.08025 (2022) - [i5]Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu:
ProCC: Progressive Cross-primitive Consistency for Open-World Compositional Zero-Shot Learning. CoRR abs/2211.12417 (2022) - 2021
- [j1]Haozhao Wang, Zhihao Qu, Song Guo, Ningqi Wang, Ruixuan Li, Weihua Zhuang:
LOSP: Overlap Synchronization Parallel With Local Compensation for Fast Distributed Training. IEEE J. Sel. Areas Commun. 39(8): 2541-2557 (2021) - [c6]Juan Zhao, Ruixuan Li, Haozhao Wang, Zijun Xu:
HotFed: Hot Start through Self-Supervised Learning in Federated Learning. HPCC/DSS/SmartCity/DependSys 2021: 149-156 - [c5]Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu:
Parameterized Knowledge Transfer for Personalized Federated Learning. NeurIPS 2021: 10092-10104 - [c4]Jing Li, Dafei Yin, Haozhao Wang, Yonggang Wang:
DCSpell: A Detector-Corrector Framework for Chinese Spelling Error Correction. SIGIR 2021: 1870-1874 - [i4]Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu:
Parameterized Knowledge Transfer for Personalized Federated Learning. CoRR abs/2111.02862 (2021) - [i3]Feijie Wu, Song Guo, Haozhao Wang, Zhihao Qu, Haobo Zhang, Jie Zhang, Ziming Liu:
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. CoRR abs/2112.09355 (2021) - 2020
- [i2]Haozhao Wang, Zhihao Qu, Song Guo, Xin Gao, Ruixuan Li, Baoliu Ye:
Intermittent Pulling with Local Compensation for Communication-Efficient Federated Learning. CoRR abs/2001.08277 (2020)
2010 – 2019
- 2019
- [c3]Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Chengjie Li:
Heterogeneity-aware Gradient Coding for Straggler Tolerance. ICDCS 2019: 555-564 - [c2]Haozhao Wang, Song Guo, Ruixuan Li:
OSP: Overlapping Computation and Communication in Parameter Server for Fast Machine Learning. ICPP 2019: 82:1-82:10 - [i1]Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Chengjie Li:
Heterogeneity-aware Gradient Coding for Straggler Tolerance. CoRR abs/1901.09339 (2019) - 2018
- [c1]Xukuan Zhan, Yuhua Li, Ruixuan Li, Xiwu Gu, Olivier Habimana, Haozhao Wang:
Stock Price Prediction Using Time Convolution Long Short-Term Memory Network. KSEM (1) 2018: 461-468
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-30 20:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
