![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Meng Fang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Books and Theses
- 2015
- [b1]Meng Fang:
Bandit learning for sequential decision making: a practical way to address the trade-off between exploration and exploitation. University of Technology Sydney, Australia, 2015
Journal Articles
- 2024
- [j29]Tingzhong Tian
, Shuya Li
, Meng Fang, Dan Zhao, Jianyang Zeng:
MolSHAP: Interpreting Quantitative Structure-Activity Relationships Using Shapley Values of R-Groups. J. Chem. Inf. Model. 64(7): 2236-2249 (2024) - [j28]Yankun Hu, Li Lyu, Ning Wang
, XiaoLei Zhou, Meng Fang:
Application of machine learning model optimized by improved sparrow search algorithm in water quality index time series prediction. Multim. Tools Appl. 83(6): 16097-16120 (2024) - [j27]Yuying Long
, Gangyan Xu
, Jinqiu Zhao
, Binglei Xie
, Meng Fang
:
Dynamic Truck-UAV Collaboration and Integrated Route Planning for Resilient Urban Emergency Response. IEEE Trans. Engineering Management 71: 9826-9838 (2024) - [j26]Mianchu Wang, Rui Yang, Xi Chen, Hao Sun, Meng Fang, Giovanni Montana:
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j25]Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Gangyan Xu
, Chengqi Zhang
:
Shared dynamics learning for large-scale traveling salesman problem. Adv. Eng. Informatics 56: 102005 (2023) - [j24]Yuantao Tong, Fanglin Tan, Honglian Huang, Zeyu Zhang, Hui Zong
, Yujia Xie, Danqi Huang, Shiyang Cheng, Ziyi Wei, Meng Fang, M. James C. Crabbe, Ying Wang, Xiaoyan Zhang:
ViMRT: a text-mining tool and search engine for automated virus mutation recognition. Bioinform. 39(1) (2023) - [j23]Qin Zhang
, Shangsi Chen, Meng Fang, Xiaojun Chen:
Joint reasoning with knowledge subgraphs for Multiple Choice Question Answering. Inf. Process. Manag. 60(3): 103297 (2023) - [j22]Yinya Huang
, Lemao Liu
, Kun Xu
, Meng Fang
, Liang Lin
, Xiaodan Liang
:
Discourse-Aware Graph Networks for Textual Logical Reasoning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11668-11688 (2023) - [j21]Zhihao Cheng
, Li Shen
, Miaoxi Zhu
, Jiaxian Guo
, Meng Fang
, Liu Liu
, Bo Du
, Dacheng Tao
:
Prescribed Safety Performance Imitation Learning From a Single Expert Dataset. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12236-12249 (2023) - [j20]Aiyu Zhu
, Tianhong Dai
, Gangyan Xu
, Pieter Pauwels, Bauke de Vries
, Meng Fang:
Deep Reinforcement Learning for Real-Time Assembly Planning in Robot-Based Prefabricated Construction. IEEE Trans Autom. Sci. Eng. 20(3): 1515-1526 (2023) - [j19]Jun Rao
, Liang Ding
, Shuhan Qi
, Meng Fang, Yang Liu
, Li Shen
, Dacheng Tao
:
Dynamic Contrastive Distillation for Image-Text Retrieval. IEEE Trans. Multim. 25: 8383-8395 (2023) - [j18]Zhihao Cheng
, Liu Liu
, Aishan Liu
, Hao Sun, Meng Fang, Dacheng Tao
:
On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and Demonstration. IEEE Trans. Neural Networks Learn. Syst. 34(2): 677-689 (2023) - 2022
- [j17]Tianhong Dai
, Yali Du, Meng Fang, Anil Anthony Bharath:
Diversity-augmented intrinsic motivation for deep reinforcement learning. Neurocomputing 468: 396-406 (2022) - [j16]Yunqiu Xu
, Meng Fang
, Ling Chen
, Gangyan Xu
, Yali Du, Chengqi Zhang
:
Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems. IEEE Trans. Cybern. 52(10): 11107-11120 (2022) - 2021
- [j15]Yang Wang, Meng Fang, Joey Tianyi Zhou, Tingting Mu, Dacheng Tao:
Introduction to Big Multimodal Multimedia Data with Deep Analytics. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 1:1-1:3 (2021) - 2020
- [j14]Yang Wang, Meng Fang, Joey Tianyi Zhou, Tingting Mu, Dacheng Tao:
Big Cross-Modal Social Media Data Analytics With Deep Intelligence. IEEE Multim. 27(4): 6-8 (2020) - [j13]Xiaomeng Li
, Lequan Yu
, Chi-Wing Fu
, Meng Fang, Pheng-Ann Heng:
Revisiting metric learning for few-shot image classification. Neurocomputing 406: 49-58 (2020) - 2019
- [j12]Gangyan Xu
, Xuan Qiu
, Meng Fang, Xiaofei Kou
, Ying Yu:
Data-driven operational risk analysis in E-Commerce Logistics. Adv. Eng. Informatics 40: 29-35 (2019) - [j11]Yali Du
, Meng Fang
, Jinfeng Yi, Chang Xu
, Jun Cheng
, Dacheng Tao
:
Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks. IEEE Trans. Multim. 21(3): 555-565 (2019) - [j10]Meng Fang
, Tianyi Zhou
, Jie Yin
, Yang Wang
, Dacheng Tao
:
Data Subset Selection With Imperfect Multiple Labels. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2212-2221 (2019) - [j9]Joey Tianyi Zhou
, Meng Fang
, Hao Zhang
, Chen Gong
, Xi Peng
, Zhiguo Cao
, Rick Siow Mong Goh:
Learning With Annotation of Various Degrees. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2794-2804 (2019) - 2018
- [j8]Joey Tianyi Zhou
, Heng Zhao
, Xi Peng
, Meng Fang
, Zheng Qin, Rick Siow Mong Goh:
Transfer Hashing: From Shallow to Deep. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6191-6201 (2018) - 2017
- [j7]Meng Fang
, Jie Yin, Lawrence O. Hall, Dacheng Tao:
Active Multitask Learning With Trace Norm Regularization Based on Excess Risk. IEEE Trans. Cybern. 47(11): 3906-3915 (2017) - 2016
- [j6]Meng Fang, Jie Yin, Xingquan Zhu
:
Active exploration for large graphs. Data Min. Knowl. Discov. 30(3): 511-549 (2016) - [j5]Baosheng Yu, Meng Fang, Dacheng Tao:
Per-Round Knapsack-Constrained Linear Submodular Bandits. Neural Comput. 28(12): 2757-2789 (2016) - [j4]Meng Fang, Jie Yin, Xingquan Zhu
:
Supervised sampling for networked data. Signal Process. 124: 93-102 (2016) - 2015
- [j3]Meng Fang, Jie Yin, Xingquan Zhu
, Chengqi Zhang
:
TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs. IEEE Trans. Knowl. Data Eng. 27(9): 2536-2549 (2015) - 2014
- [j2]Meng Fang, Xingquan Zhu
:
Active learning with uncertain labeling knowledge. Pattern Recognit. Lett. 43: 98-108 (2014) - 2013
- [j1]Hanning Yuan, Meng Fang, Xingquan Zhu
:
Hierarchical Sampling for Multi-Instance Ensemble Learning. IEEE Trans. Knowl. Data Eng. 25(12): 2900-2905 (2013)
Conference and Workshop Papers
- 2024
- [c85]Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang:
Large Language Models Are Neurosymbolic Reasoners. AAAI 2024: 17985-17993 - [c84]Zijing Shi, Meng Fang, Ling Chen, Yali Du, Jun Wang:
Human-Guided Moral Decision Making in Text-Based Games. AAAI 2024: 21574-21582 - [c83]Xiangyu Yin, Sihao Wu, Jiaxu Liu, Meng Fang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan:
Representation-Based Robustness in Goal-Conditioned Reinforcement Learning. AAAI 2024: 21761-21769 - [c82]Bram Grooten, Tristan Tomilin, Gautham Vasan, Matthew E. Taylor, A. Rupam Mahmood, Meng Fang, Mykola Pechenizkiy, Decebal Constantin Mocanu:
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning. AAMAS 2024: 733-742 - [c81]Yucheng Yang, Tianyi Zhou, Lei Han, Meng Fang, Mykola Pechenizkiy:
Automatic Curriculum for Unsupervised Reinforcement Learning. AAMAS 2024: 2002-2010 - [c80]Qin Zhang, Hao Ge, Xiaojun Chen, Meng Fang:
Unsupervised Multiple Choices Question Answering Via Universal Corpus. ICASSP 2024: 11771-11775 - [c79]Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi:
Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation. ICLR 2024 - [c78]Yucheng Yang, Tianyi Zhou, Qiang He, Lei Han, Mykola Pechenizkiy, Meng Fang:
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning. ICLR 2024 - 2023
- [c77]Lu Yin, Shiwei Liu, Meng Fang, Tianjin Huang, Vlado Menkovski, Mykola Pechenizkiy:
Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost. AAAI 2023: 10945-10953 - [c76]Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy:
NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist. ACL (1) 2023: 1240-1266 - [c75]Jiaxu Zhao, Meng Fang, Zijing Shi, Yitong Li, Ling Chen, Mykola Pechenizkiy:
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models. ACL (1) 2023: 13538-13556 - [c74]Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang:
A Survey for Efficient Open Domain Question Answering. ACL (1) 2023: 14447-14465 - [c73]Dongwon Ryu, Meng Fang, Gholamreza Haffari, Shirui Pan, Ehsan Shareghi:
A Minimal Approach for Natural Language Action Space in Text-based Games. CoNLL 2023: 138-154 - [c72]Zijing Shi, Yunqiu Xu, Meng Fang, Ling Chen:
Self-imitation Learning for Action Generation in Text-based Games. EACL 2023: 703-726 - [c71]Fanghua Ye, Meng Fang, Shenghui Li, Emine Yilmaz:
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting. EMNLP (Findings) 2023: 5985-6006 - [c70]Zihan Zhang, Meng Fang, Fanghua Ye, Ling Chen, Mohammad-Reza Namazi-Rad:
Turn-Level Active Learning for Dialogue State Tracking. EMNLP 2023: 7705-7719 - [c69]Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad, Jun Wang:
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances. EMNLP 2023: 8289-8311 - [c68]Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad:
CITB: A Benchmark for Continual Instruction Tuning. EMNLP (Findings) 2023: 9443-9455 - [c67]Zijing Shi, Meng Fang, Yunqiu Xu, Ling Chen, Yali Du:
Stay Moral and Explore: Learn to Behave Morally in Text-based Games. ICLR 2023 - [c66]Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu:
Are Large Kernels Better Teachers than Transformers for ConvNets? ICML 2023: 14023-14038 - [c65]Jiazhi Guan
, Hang Zhou
, Zhizhi Guo
, Tianshu Hu
, Lirui Deng
, Chengbin Quan
, Meng Fang
, Youjian Zhao
:
Dual-Modality Co-Learning for Unveiling Deepfake in Spatio-Temporal Space. ICMR 2023: 85-94 - [c64]Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu:
Dynamic Sparsity Is Channel-Level Sparsity Learner. NeurIPS 2023 - [c63]Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy:
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach. NeurIPS 2023 - [c62]Tristan Tomilin, Meng Fang, Yudi Zhang, Mykola Pechenizkiy:
COOM: A Game Benchmark for Continual Reinforcement Learning. NeurIPS 2023 - [c61]Tianjin Huang, Shiwei Liu, Tianlong Chen, Meng Fang, Li Shen, Vlado Menkovski, Lu Yin, Yulong Pei, Mykola Pechenizkiy:
Enhancing Adversarial Training via Reweighting Optimization Trajectory. ECML/PKDD (1) 2023: 113-130 - [c60]Jiaxu Zhao, Lu Yin, Shiwei Liu, Meng Fang, Mykola Pechenizkiy:
REST: Enhancing Group Robustness in DNNs Through Reweighted Sparse Training. ECML/PKDD (2) 2023: 313-329 - [c59]Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi:
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning. ECML/PKDD (4) 2023: 573-589 - 2022
- [c58]Dongwon Ryu, Ehsan Shareghi, Meng Fang, Yunqiu Xu, Shirui Pan, Reza Haf:
Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games. ACL (2) 2022: 515-522 - [c57]Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang
:
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. ACL (1) 2022: 538-560 - [c56]Yu Cao, Wei Bi, Meng Fang, Shuming Shi, Dacheng Tao:
A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation. ACL (1) 2022: 7984-8002 - [c55]Tristan Tomilin, Tianhong Dai
, Meng Fang, Mykola Pechenizkiy:
LevDoom: A Benchmark for Generalization on Level Difficulty in Reinforcement Learning. CoG 2022: 72-79 - [c54]Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao:
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. EMNLP 2022: 11975-11992 - [c53]Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang:
Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL. ICLR 2022 - [c52]Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu:
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets. LoG 2022: 8 - [c51]Zhiyin Shao, Xinyu Zhang, Meng Fang, Zhifeng Lin, Jian Wang, Changxing Ding:
Learning Granularity-Unified Representations for Text-to-Image Person Re-identification. ACM Multimedia 2022: 5566-5574 - [c50]Yibin Lei, Yu Cao, Dianqi Li, Tianyi Zhou, Meng Fang, Mykola Pechenizkiy:
Phrase-level Textual Adversarial Attack with Label Preservation. NAACL-HLT (Findings) 2022: 1095-1112 - [c49]Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad:
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics. NAACL-HLT 2022: 3886-3893 - [c48]Lu Yin, Vlado Menkovski, Meng Fang, Tianjin Huang, Yulong Pei, Mykola Pechenizkiy:
Superposing many tickets into one: A performance booster for sparse neural network training. UAI 2022: 2267-2277 - 2021
- [c47]Yinya Huang
, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang:
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement. AAAI 2021: 6375-6383 - [c46]Meng Fang, Peng Zeng, Jinglou Chen, Han Zhao, Haiping Wang, Jing Guo:
Use Chou's 5-steps Rule to Study the Mechanism of Uncaria Rhynchophylla for Treating Alzheimer's Disease Based on Network Pharmacology. BIBE 2021: 17:1-17:6 - [c45]Aiyu Zhu, Gangyan Xu
, Pieter Pauwels, Bauke de Vries, Meng Fang:
Deep Reinforcement Learning for Prefab Assembly Planning in Robot-based Prefabricated Construction. CASE 2021: 1282-1288 - [c44]Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang:
Generalization in Text-based Games via Hierarchical Reinforcement Learning. EMNLP (Findings) 2021: 1343-1353 - [c43]Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy:
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection. EMNLP (Findings) 2021: 1606-1617 - [c42]Yu Cao, Liang Ding
, Zhiliang Tian, Meng Fang:
Towards Efficiently Diversifying Dialogue Generation Via Embedding Augmentation. ICASSP 2021: 7443-7447 - [c41]Yinya Huang
, Meng Fang, Yu Cao, Liwei Wang, Xiaodan Liang:
DAGN: Discourse-Aware Graph Network for Logical Reasoning. NAACL-HLT 2021: 5848-5855 - 2020
- [c40]Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou:
Unsupervised Domain Adaptation on Reading Comprehension. AAAI 2020: 7480-7487 - [c39]Yifan Zhao, Gangyan Xu
, Yali Du, Meng Fang:
Learning Multi-Agent Communication with Policy Fingerprints for Adaptive Traffic Signal Control. CASE 2020: 266-273 - [c38]Yunqiu Xu, Ling Chen
, Meng Fang, Yang Wang, Chengqi Zhang
:
Deep Reinforcement Learning with Transformers for Text Adventure Games. CoG 2020: 65-72 - [c37]Yu Cao, Wei Bi, Meng Fang, Dacheng Tao:
Pretrained Language Models for Dialogue Generation with Multiple Input Sources. EMNLP (Findings) 2020: 909-917 - [c36]Yunqiu Xu, Meng Fang, Ling Chen
, Yali Du, Joey Tianyi Zhou, Chengqi Zhang:
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. NeurIPS 2020 - 2019
- [c35]Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang:
Inter-Class Angular Loss for Convolutional Neural Networks. AAAI 2019: 3894-3901 - [c34]Joey Tianyi Zhou, Hao Zhang
, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok:
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition. ACL (1) 2019: 3461-3471 - [c33]Yutai Hou, Meng Fang, Wanxiang Che, Ting Liu:
A Corpus-Free State2Seq User Simulator for Task-Oriented Dialogue. CCL 2019: 689-702 - [c32]Meng Fang, Cheng Zhou, Bei Shi, Boqing Gong, Jia Xu, Tong Zhang:
DHER: Hindsight Experience Replay for Dynamic Goals. ICLR (Poster) 2019 - [c31]Yu Cao, Meng Fang, Dacheng Tao:
BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering. NAACL-HLT (1) 2019: 357-362 - [c30]Yali Du, Lei Han, Meng Fang, Ji Liu, Tianhong Dai, Dacheng Tao:
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning. NeurIPS 2019: 4405-4416 - [c29]Meng Fang, Tianyi Zhou, Yali Du, Lei Han, Zhengyou Zhang:
Curriculum-guided Hindsight Experience Replay. NeurIPS 2019: 12602-12613 - [c28]Tingguang Li, Weitao Xi, Meng Fang, Jia Xu, Max Q.-H. Meng:
Learning to Solve a Rubik's Cube with a Dexterous Hand. ROBIO 2019: 1387-1393 - [c27]Dingmin Wang, Meng Fang, Yan Song, Juntao Li:
Bridging the Gap: Improve Part-of-speech Tagging for Chinese Social Media Texts with Foreign Words. SemDeep@IJCAI 2019: 12-20 - 2018
- [c26]Yali Du, Meng Fang, Jinfeng Yi, Jun Cheng, Dacheng Tao:
Towards Query Efficient Black-box Attacks: An Input-free Perspective. AISec@CCS 2018: 13-24 - [c25]Chen Gong, Xiaojun Chang
, Meng Fang, Jian Yang:
Teaching Semi-Supervised Classifier via Generalized Distillation. IJCAI 2018: 2156-2162 - 2017
- [c24]Meng Fang
, Trevor Cohn:
Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary. ACL (2) 2017: 587-593 - [c23]Meng Fang
, Yuan Li, Trevor Cohn:
Learning how to Active Learn: A Deep Reinforcement Learning Approach. EMNLP 2017: 595-605 - [c22]Meng Fang, Wenguang Wang, Dong Cao, Yan Zuo:
An Improved PHD Filter Based on Dynamic Programming. GSKI (2) 2017: 284-293 - 2016
- [c21]Baosheng Yu, Meng Fang, Dacheng Tao:
Linear Submodular Bandits with a Knapsack Constraint. AAAI 2016: 1380-1386 - [c20]Baosheng Yu, Meng Fang, Dacheng Tao, Jie Yin:
Submodular Asymmetric Feature Selection in Cascade Object Detection. AAAI 2016: 1387-1393 - [c19]Meng Fang
, Trevor Cohn:
Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection. CoNLL 2016: 178-186 - [c18]Zengmao Wang, Bo Du, Lefei Zhang, Liangpei Zhang, Meng Fang, Dacheng Tao:
Multi-label Active Learning Based on Maximum Correntropy Criterion: Towards Robust and Discriminative Labeling. ECCV (3) 2016: 453-468 - [c17]Meng Fang, Jie Yin, Xingquan Zhu
, Chengqi Zhang
:
TrGraph: Cross-network transfer learning via common signature subgraphs. ICDE 2016: 1534-1535 - [c16]Jie Yin, Meng Fang, Ghassem Mokhtari, Qing Zhang:
Multi-resident Location Tracking in Smart Home through Non-wearable Unobtrusive Sensors. ICOST 2016: 3-13 - [c15]Yang Wang, Wenjie Zhang
, Lin Wu, Xuemin Lin, Meng Fang, Shirui Pan:
Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering. IJCAI 2016: 2153-2159 - 2015
- [c14]Chen Gong, Dacheng Tao, Wei Liu
, Stephen J. Maybank, Meng Fang, Keren Fu, Jie Yang:
Saliency propagation from simple to difficult. CVPR 2015: 2531-2539 - [c13]Meng Fang, Dacheng Tao:
Active Multi-task Learning via Bandits. SDM 2015: 505-513 - 2014
- [c12]Meng Fang, Jie Yin, Dacheng Tao:
Active Learning for Crowdsourcing Using Knowledge Transfer. AAAI 2014: 1809-1815 - [c11]Meng Fang, Dacheng Tao:
Networked bandits with disjoint linear payoffs. KDD 2014: 1106-1115 - 2013
- [c10]Meng Fang, Jie Yin, Xingquan Zhu
:
Active exploration: simultaneous sampling and labeling for large graphs. CIKM 2013: 829-834 - [c9]Meng Fang, Jie Yin, Xingquan Zhu
:
Transfer Learning across Networks for Collective Classification. ICDM 2013: 161-170 - [c8]Meng Fang, Jie Yin, Xingquan Zhu
:
Knowledge Transfer for Multi-labeler Active Learning. ECML/PKDD (1) 2013: 273-288 - [c7]Meng Fang, Jie Yin, Chengqi Zhang
, Xingquan Zhu
:
Active Class Discovery and Learning for Networked Data. SDM 2013: 315-323 - 2012
- [c6]Meng Fang, Xingquan Zhu, Chengqi Zhang:
Active Learning from Oracle with Knowledge Blind Spot. AAAI 2012: 2421-2422 - [c5]Meng Fang, Xingquan Zhu
, Bin Li, Wei Ding
, Xindong Wu:
Self-Taught Active Learning from Crowds. ICDM 2012: 858-863 - [c4]Meng Fang, Xingquan Zhu:
I don't know the label: Active learning with blind knowledge. ICPR 2012: 2238-2241 - [c3]Shirui Pan, Xingquan Zhu, Meng Fang:
Top-k correlated subgraph query for data streams. ICPR 2012: 2906-2909 - 2010
- [c2]Meng Fang, Shuliang Wang
, Hong Jin:
Spatial Neighborhood Clustering Based on Data Field. ADMA (1) 2010: 262-269 - 2003
- [c1]Chih Lai, Lawrence Stephanie, Meng Fang:
Real-Time Mining of Partial Periodic Patterns. SEKE 2003: 259-266
Informal and Other Publications
- 2024
- [i76]Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang:
Large Language Models Are Neurosymbolic Reasoners. CoRR abs/2401.09334 (2024) - [i75]Yipin Lei, Xu Wang, Meng Fang, Han Li, Xiang Li, Jianyang Zeng:
PepGB: Facilitating peptide drug discovery via graph neural networks. CoRR abs/2401.14665 (2024) - [i74]Zihan Zhang, Meng Fang, Ling Chen:
RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering. CoRR abs/2402.16457 (2024) - [i73]Qin Zhang, Hao Ge, Xiaojun Chen, Meng Fang:
Unsupervised multiple choices question answering via universal corpus. CoRR abs/2402.17333 (2024) - [i72]Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi:
Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation. CoRR abs/2404.12754 (2024) - [i71]Zirui Song, Yaohang Li, Meng Fang, Zhenhao Chen, Zecheng Shi, Yuan Huang, Ling Chen:
MMAC-Copilot: Multi-modal Agent Collaboration Operating System Copilot. CoRR abs/2404.18074 (2024) - [i70]Zeyu Zhang, Yiran Wang, Biao Wu, Shuo Chen, Zhiyuan Zhang, Shiya Huang, Wenbo Zhang, Meng Fang, Ling Chen, Yang Zhao:
Motion Avatar: Generate Human and Animal Avatars with Arbitrary Motion. CoRR abs/2405.11286 (2024) - [i69]Jiaxu Liu, Xiangyu Yin, Sihao Wu, Jianhong Wang, Meng Fang, Xinping Yi, Xiaowei Huang:
Tiny Refinements Elicit Resilience: Toward Efficient Prefix-Model Against LLM Red-Teaming. CoRR abs/2405.12604 (2024) - [i68]Xuanfa Jin, Ziyan Wang, Yali Du, Meng Fang, Haifeng Zhang, Jun Wang:
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf. CoRR abs/2405.19946 (2024) - [i67]Ziyan Wang, Meng Fang, Tristan Tomilin, Fei Fang, Yali Du:
Safe Multi-agent Reinforcement Learning with Natural Language Constraints. CoRR abs/2405.20018 (2024) - [i66]Hongyu Li, Liang Ding, Meng Fang, Dacheng Tao:
Revisiting Catastrophic Forgetting in Large Language Model Tuning. CoRR abs/2406.04836 (2024) - [i65]Yu Yin, Hyunjae Kim, Xiao Xiao, Chih-Hsuan Wei, Jaewoo Kang, Zhiyong Lu, Hua Xu, Meng Fang, Qingyu Chen:
Augmenting Biomedical Named Entity Recognition with General-domain Resources. CoRR abs/2406.10671 (2024) - [i64]Shenghui Li, Fanghua Ye, Meng Fang, Jiaxu Zhao, Yun-Hin Chan, Edith C. H. Ngai, Thiemo Voigt:
Synergizing Foundation Models and Federated Learning: A Survey. CoRR abs/2406.12844 (2024) - [i63]Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin:
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. CoRR abs/2406.16253 (2024) - [i62]Meng Fang, Xiangpeng Wan, Fei Lu, Fei Xing, Kai Zou:
MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data. CoRR abs/2406.18321 (2024) - [i61]Jiawei Xu, Rui Yang, Feng Luo, Meng Fang, Baoxiang Wang, Lei Han:
Robust Decision Transformer: Tackling Data Corruption in Offline RL via Sequence Modeling. CoRR abs/2407.04285 (2024) - 2023
- [i60]Dongwon Kelvin Ryu, Meng Fang, Shirui Pan, Gholamreza Haffari, Ehsan Shareghi:
A Minimal Approach for Natural Language Action Space in Text-based Games. CoRR abs/2305.04082 (2023) - [i59]Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy:
NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist. CoRR abs/2305.08566 (2023) - [i58]Jiaxu Zhao, Meng Fang, Zijing Shi, Yitong Li, Ling Chen, Mykola Pechenizkiy:
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models. CoRR abs/2305.11262 (2023) - [i57]Yudi Zhang, Yali Du, Biwei Huang, Ziyan Wang, Jun Wang, Meng Fang, Mykola Pechenizkiy:
GRD: A Generative Approach for Interpretable Reward Redistribution in Reinforcement Learning. CoRR abs/2305.18427 (2023) - [i56]Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu:
Are Large Kernels Better Teachers than Transformers for ConvNets? CoRR abs/2305.19412 (2023) - [i55]Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu:
Dynamic Sparsity Is Channel-Level Sparsity Learner. CoRR abs/2305.19454 (2023) - [i54]Tianjin Huang, Shiwei Liu, Tianlong Chen, Meng Fang, Li Shen, Vlado Menkovski, Lu Yin, Yulong Pei, Mykola Pechenizkiy:
Enhancing Adversarial Training via Reweighting Optimization Trajectory. CoRR abs/2306.14275 (2023) - [i53]Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi:
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning. CoRR abs/2306.16750 (2023) - [i52]Xinglei Wang, Meng Fang, Zichao Zeng
, Tao Cheng:
Where Would I Go Next? Large Language Models as Human Mobility Predictors. CoRR abs/2308.15197 (2023) - [i51]Xin Zheng, Yixin Liu, Zhifeng Bao, Meng Fang, Xia Hu, Alan Wee-Chung Liew, Shirui Pan:
Towards Data-centric Graph Machine Learning: Review and Outlook. CoRR abs/2309.10979 (2023) - [i50]Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad, Jun Wang:
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances. CoRR abs/2310.07343 (2023) - [i49]Fanghua Ye, Meng Fang, Shenghui Li, Emine Yilmaz:
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting. CoRR abs/2310.09716 (2023) - [i48]Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad:
CITB: A Benchmark for Continual Instruction Tuning. CoRR abs/2310.14510 (2023) - [i47]Zihan Zhang, Meng Fang, Fanghua Ye, Ling Chen, Mohammad-Reza Namazi-Rad:
Turn-Level Active Learning for Dialogue State Tracking. CoRR abs/2310.14513 (2023) - [i46]Mianchu Wang, Rui Yang, Xi Chen, Meng Fang:
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models. CoRR abs/2310.20025 (2023) - [i45]Jiaxu Zhao, Lu Yin, Shiwei Liu, Meng Fang, Mykola Pechenizkiy:
REST: Enhancing Group Robustness in DNNs through Reweighted Sparse Training. CoRR abs/2312.03044 (2023) - [i44]Ziyan Wang, Yali Du, Yudi Zhang, Meng Fang, Biwei Huang:
MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment. CoRR abs/2312.03644 (2023) - [i43]Jiaxu Zhao, Meng Fang, Shirui Pan, Wenpeng Yin, Mykola Pechenizkiy:
GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models. CoRR abs/2312.06315 (2023) - [i42]Xiangyu Yin, Sihao Wu, Jiaxu Liu, Meng Fang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan:
ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning. CoRR abs/2312.07392 (2023) - [i41]Bram Grooten, Tristan Tomilin, Gautham Vasan, Matthew E. Taylor, A. Rupam Mahmood, Meng Fang, Mykola Pechenizkiy, Decebal Constantin Mocanu:
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning. CoRR abs/2312.15339 (2023) - [i40]Zijing Shi, Meng Fang, Shunfeng Zheng, Shilong Deng, Ling Chen, Yali Du:
Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game. CoRR abs/2312.17515 (2023) - 2022
- [i39]Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang:
Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL. CoRR abs/2202.04478 (2022) - [i38]Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang:
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games. CoRR abs/2204.09597 (2022) - [i37]Yu Cao, Wei Bi, Meng Fang, Shuming Shi, Dacheng Tao:
A Model-Agnostic Data Manipulation Method for Persona-based Dialogue Generation. CoRR abs/2204.09867 (2022) - [i36]Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad:
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics. CoRR abs/2204.09874 (2022) - [i35]Yibin Lei, Yu Cao, Dianqi Li, Tianyi Zhou
, Meng Fang, Mykola Pechenizkiy:
Phrase-level Textual Adversarial Attack with Label Preservation. CoRR abs/2205.10710 (2022) - [i34]Lu Yin, Vlado Menkovski, Meng Fang, Tianjin Huang, Yulong Pei, Mykola Pechenizkiy, Decebal Constantin Mocanu, Shiwei Liu:
Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training. CoRR abs/2205.15322 (2022) - [i33]Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao:
Dynamic Contrastive Distillation for Image-Text Retrieval. CoRR abs/2207.01426 (2022) - [i32]Yinya Huang, Lemao Liu, Kun Xu, Meng Fang, Liang Lin, Xiaodan Liang:
Discourse-Aware Graph Networks for Textual Logical Reasoning. CoRR abs/2207.01450 (2022) - [i31]Zhiyin Shao, Xinyu Zhang, Meng Fang, Zhifeng Lin, Jian Wang, Changxing Ding:
Learning Granularity-Unified Representations for Text-to-Image Person Re-identification. CoRR abs/2207.07802 (2022) - [i30]Lu Yin, Shiwei Liu, Meng Fang, Tianjin Huang, Vlado Menkovski, Mykola Pechenizkiy:
Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost. CoRR abs/2208.10842 (2022) - [i29]Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao:
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. CoRR abs/2210.15221 (2022) - [i28]Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang:
A Survey for Efficient Open Domain Question Answering. CoRR abs/2211.07886 (2022) - [i27]Tianjin Huang
, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu
, Zhangyang Wang, Mykola Pechenizkiy
, Shiwei Liu:
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets. CoRR abs/2211.15335 (2022) - 2021
- [i26]Yu Cao, Liang Ding, Zhiliang Tian, Meng Fang:
Towards Efficiently Diversifying Dialogue Generation via Embedding Augmentation. CoRR abs/2103.01534 (2021) - [i25]Yinya Huang, Meng Fang, Yu Cao, Liwei Wang, Xiaodan Liang:
DAGN: Discourse-Aware Graph Network for Logical Reasoning. CoRR abs/2103.14349 (2021) - [i24]Rui Yang, Meng Fang, Lei Han, Yali Du, Feng Luo, Xiu Li:
MHER: Model-based Hindsight Experience Replay. CoRR abs/2107.00306 (2021) - [i23]Hao Sun, Ziping Xu, Meng Fang, Zhenghao Peng, Jiadong Guo, Bo Dai, Bolei Zhou:
Safe Exploration by Solving Early Terminated MDP. CoRR abs/2107.04200 (2021) - [i22]Iftitahu Ni'mah, Meng Fang, Vlado Menkovski, Mykola Pechenizkiy:
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection. CoRR abs/2108.12229 (2021) - [i21]Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Chengqi Zhang
:
Generalization in Text-based Games via Hierarchical Reinforcement Learning. CoRR abs/2109.09968 (2021) - 2020
- [i20]Hao Sun, Ziping Xu, Yuhang Song, Meng Fang, Jiechao Xiong, Bo Dai, Zhengyou Zhang, Bolei Zhou:
Zeroth-Order Supervised Policy Improvement. CoRR abs/2006.06600 (2020) - [i19]Yu Cao, Wei Bi, Meng Fang, Dacheng Tao:
Pretrained Language Models for Dialogue Generation with Multiple Input Sources. CoRR abs/2010.07576 (2020) - [i18]Zhihao Cheng, Liu Liu, Aishan Liu, Hao Sun, Meng Fang, Dacheng Tao:
On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration. CoRR abs/2010.08353 (2020) - [i17]Yunqiu Xu, Meng Fang, Ling Chen, Yali Du, Joey Tianyi Zhou, Chengqi Zhang:
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. CoRR abs/2010.11655 (2020) - [i16]Peng Sun, Jiechao Xiong, Lei Han, Xinghai Sun, Shuxing Li, Jiawei Xu, Meng Fang, Zhengyou Zhang:
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning. CoRR abs/2011.12895 (2020) - [i15]Lei Han, Jiechao Xiong, Peng Sun, Xinghai Sun, Meng Fang, Qingwei Guo, Qiaobo Chen, Tengfei Shi, Hongsheng Yu, Zhengyou Zhang:
TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game. CoRR abs/2011.13729 (2020) - [i14]Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang, Liang Lin:
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement. CoRR abs/2012.13185 (2020) - 2019
- [i13]Yu Cao, Meng Fang, Dacheng Tao:
BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering. CoRR abs/1904.04969 (2019) - [i12]Xiaomeng Li, Lequan Yu, Chi-Wing Fu, Meng Fang, Pheng-Ann Heng:
Revisiting Metric Learning for Few-Shot Image Classification. CoRR abs/1907.03123 (2019) - [i11]Qing Wang, Jiechao Xiong, Lei Han, Meng Fang, Xinghai Sun, Zhuobin Zheng, Peng Sun, Zhengyou Zhang:
Arena: a toolkit for Multi-Agent Reinforcement Learning. CoRR abs/1907.09467 (2019) - [i10]Tingguang Li, Weitao Xi, Meng Fang, Jia Xu, Max Qing-Hu Meng:
Learning to Solve a Rubik's Cube with a Dexterous Hand. CoRR abs/1907.11388 (2019) - [i9]Yutai Hou, Meng Fang, Wanxiang Che, Ting Liu:
A Corpus-free State2Seq User Simulator for Task-oriented Dialogue. CoRR abs/1909.04448 (2019) - [i8]Yu Cao, Meng Fang, Baosheng Yu, Joey Tianyi Zhou:
Unsupervised Domain Adaptation on Reading Comprehension. CoRR abs/1911.06137 (2019) - 2018
- [i7]Songyou Peng, Le Zhang, Yutong Ban, Meng Fang, Stefan Winkler:
A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues. CoRR abs/1805.00638 (2018) - [i6]Yali Du, Meng Fang, Jinfeng Yi, Jun Cheng, Dacheng Tao:
Towards Query Efficient Black-box Attacks: An Input-free Perspective. CoRR abs/1809.02918 (2018) - 2017
- [i5]Meng Fang, Trevor Cohn:
Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary. CoRR abs/1705.00424 (2017) - [i4]Meng Fang, Yuan Li, Trevor Cohn:
Learning how to Active Learn: A Deep Reinforcement Learning Approach. CoRR abs/1708.02383 (2017) - 2016
- [i3]Meng Fang, Trevor Cohn:
Learning when to trust distant supervision: An application to low-resource POS tagging using cross-lingual projection. CoRR abs/1607.01133 (2016) - [i2]Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, Meng Fang, Shirui Pan:
Iterative Views Agreement: An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering. CoRR abs/1608.05560 (2016) - 2014
- [i1]Meng Fang, Jie Yin, Xingquan Zhu:
Transfer Learning across Networks for Collective Classification. CoRR abs/1403.2484 (2014)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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 2024-08-16 00:37 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint