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ORCIDHuan Liu 0001
Person information
- affiliation: Arizona State University, School of Computing, Informatics, and Decision Systems Engineering, Tempe, AZ, USA
- affiliation (1994 - 2001): National University of Singapore, School of Computing, Singapore
- affiliation (1989 - 1993): Telecom Australia Research Laboratories, Melbourne, Australia
- affiliation (PhD 1989): University of Southern California, Los Angeles, CA, USA
Other persons with the same name
- Huan Liu — disambiguation page
- Huan Liu 0002
![[0000-0001-9316-4749]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9316-4749")
— China University of Geosciences, Department of Institute of Geophysics & Geomatics, Wuhan, China - Huan Liu 0003 — Beihang University, School of Chemical Science and Engineering, Beijing, China
- Huan Liu 0004 — Jinggangshan University, School of Electronics and Information Engineering, Ji'an, China
- Huan Liu 0005 — Xi'an University of Technology, Department of Electrical Engineering, China
- Huan Liu 0006 — Northwestern Polytechnical University, School of Automation, Xi'an, China
- Huan Liu 0007 — University of Science and Technology of China, School of Computer Science and Technology, Suzhou Institute for Advanced Study, Hefei, China
- Huan Liu 0008 — University of Calgary, Department of Geomatics Engineering, Calgary, Canada
- Huan Liu 0009 — University of Naples Federico II, Interdepartmental Center for Advances in Robotic Surgery, Naples, Italy (and 1 more)
- Huan Liu 0010 — Hong Kong Polytechnic University, Department of Building and Real Estate, Hong Kong
- Huan Liu 0011 — Shandong University, School of Mathematics, Jinan, China
- Huan Liu 0012 — School of Computer Science and Technology, Xi'an Jiaotong University, China
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2020 – today
- 2023
[b10]Lu Cheng, Huan Liu:
Socially Responsible AI - Theories and Practices. WorldScientific 2023, ISBN 9789811266621, pp. 1-196- [j143]Feng Xia, Leman Akoglu, Charu Aggarwal, Huan Liu:
Deep Anomaly Analytics: Advancing the Frontier of Anomaly Detection. IEEE Intell. Syst. 38(2): 32-35 (2023) - [j142]Garima Agrawal, Dimitri P. Bertsekas, Huan Liu:
Auction-Based Learning for Question Answering over Knowledge Graphs. Inf. 14(6): 336 (2023) - [j141]Shisong Yang, Yuwen Chen, Zhen Yang, Bowen Li, Huan Liu:
Fast Secure Aggregation With High Dropout Resilience for Federated Learning. IEEE Trans. Green Commun. Netw. 7(3): 1501-1514 (2023) - [j140]Qianru Wang, Bin Guo, Lu Cheng, Zhiwen Yu, Huan Liu:
CausalSE: Understanding Varied Spatial Effects with Missing Data Toward Adding New Bike-sharing Stations. ACM Trans. Knowl. Discov. Data 17(2): 20:1-20:24 (2023) - [j139]Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, Kasim Selçuk Candan:
Causal Disentanglement for Implicit Recommendations with Network Information. ACM Trans. Knowl. Discov. Data 17(7): 94:1-94:18 (2023) - [j138]Zhen Yang, Ming Zhou, Haiyang Yu, Richard O. Sinnott, Huan Liu:
Efficient and Secure Federated Learning With Verifiable Weighted Average Aggregation. IEEE Trans. Netw. Sci. Eng. 10(1): 205-222 (2023) - [c369]Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu:
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning. AAAI 2023: 7378-7386 - [c368]Garima Agrawal, Kuntal Pal, Yuli Deng, Huan Liu, Chitta Baral:
AISecKG: Knowledge Graph Dataset for Cybersecurity Education. AAAI Spring Symposium: MAKE 2023 - [c367]Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan:
Learning Strong Graph Neural Networks with Weak Information. KDD 2023: 1559-1571 - [c366]Zhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu:
Virtual Node Tuning for Few-shot Node Classification. KDD 2023: 2177-2188 - [c365]Song Wang, Zhen Tan, Huan Liu, Jundong Li:
Contrastive Meta-Learning for Few-shot Node Classification. KDD 2023: 2386-2397 - [c364]Raha Moraffah, Amir-Hossein Karimi, Adrienne Raglin, Huan Liu:
Socially Responsible Machine Learning: A Causal Perspective. KDD 2023: 5819-5820 - [c363]Paaras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu:
PEACE: Cross-Platform Hate Speech Detection - A Causality-Guided Framework. ECML/PKDD (1) 2023: 559-575 - [c362]Hirthik Mathavan, Zhen Tan, Nivedh Mudiam, Huan Liu:
Inductive Linear Probing for Few-Shot Node Classification. SBP-BRiMS 2023: 274-284 - [c361]Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng:
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. SIGIR 2023: 2062-2066 - [c360]Melanie Subbiah, Amrita Bhattacharjee, Bobby Yilun Hua, Tharindu Kumarage, Huan Liu, Kathleen R. McKeown:
Towards Detecting Harmful Agendas in News Articles. WASSA@ACL 2023: 110-128 - [c359]Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan:
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. WSDM 2023: 339-347 - [i123]Melanie Subbiah, Amrita Bhattacharjee, Bobby Yilun Hua, Tharindu Kumarage, Huan Liu, Kathleen R. McKeown:
Detecting Harmful Agendas in News Articles. CoRR abs/2302.00102 (2023) - [i122]Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong:
STERLING: Synergistic Representation Learning on Bipartite Graphs. CoRR abs/2302.05428 (2023) - [i121]Tharindu Kumarage, Joshua Garland, Amrita Bhattacharjee, Kirill Trapeznikov, Scott W. Ruston, Huan Liu:
Stylometric Detection of AI-Generated Text in Twitter Timelines. CoRR abs/2303.03697 (2023) - [i120]Anique Tahir, Lu Cheng, Huan Liu:
Fairness through Aleatoric Uncertainty. CoRR abs/2304.03646 (2023) - [i119]Ujun Jeong, Paras Sheth, Anique Tahir, Faisal Alatawi, H. Russell Bernard, Huan Liu:
Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study. CoRR abs/2305.09196 (2023) - [i118]Kaize Ding, Albert Jiongqian Liang, Bryan Perrozi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng:
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. CoRR abs/2305.17386 (2023) - [i117]Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan:
Learning Strong Graph Neural Networks with Weak Information. CoRR abs/2305.18457 (2023) - [i116]Zhen Tan, Ruocheng Guo, Kaize Ding, Huan Liu:
Virtual Node Tuning for Few-shot Node Classification. CoRR abs/2306.06063 (2023) - [i115]Hirthik Mathavan, Zhen Tan, Nivedh Mudiam, Huan Liu:
Inductive Linear Probing for Few-shot Node Classification. CoRR abs/2306.08192 (2023) - [i114]Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu:
PEACE: Cross-Platform Hate Speech Detection- A Causality-guided Framework. CoRR abs/2306.08804 (2023) - [i113]Song Wang, Zhen Tan, Huan Liu, Jundong Li:
Contrastive Meta-Learning for Few-shot Node Classification. CoRR abs/2306.15154 (2023) - [i112]Faisal Alatawi, Paras Sheth, Huan Liu:
Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach. CoRR abs/2307.04668 (2023) - [i111]Suraj Jyothi Unni, Paras Sheth, Kaize Ding, Huan Liu, K. Selçuk Candan:
UPREVE: An End-to-End Causal Discovery Benchmarking System. CoRR abs/2307.13757 (2023) - [i110]Amrita Bhattacharjee, Huan Liu:
Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text? CoRR abs/2308.01284 (2023) - [i109]Mansooreh Karami, David Mosallanezhad, Paras Sheth, Huan Liu:
Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News Detection. CoRR abs/2308.02011 (2023) - [i108]Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu:
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. CoRR abs/2308.02080 (2023) - [i107]Tharindu Kumarage, Huan Liu:
Neural Authorship Attribution: Stylometric Analysis on Large Language Models. CoRR abs/2308.07305 (2023) - [i106]Tharindu Kumarage, Amrita Bhattacharjee, Djordje Padejski, Kristy Roschke, Dan Gillmor, Scott W. Ruston, Huan Liu, Joshua Garland:
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News. CoRR abs/2309.03164 (2023) - [i105]Amrita Bhattacharjee, Tharindu Kumarage, Raha Moraffah, Huan Liu:
ConDA: Contrastive Domain Adaptation for AI-generated Text Detection. CoRR abs/2309.03992 (2023) - 2022
- [j137]Tanmoy Chakraborty, Kai Shu, H. Russell Bernard, Huan Liu:
Editorial: Special issue on "Learning to combat online hostile posts in regional languages during emergency situations". Neurocomputing 500: 241-242 (2022) - [j136]Garima Agrawal, Yuli Deng, Jongchan Park, Huan Liu, Ying-Chih Chen:
Building Knowledge Graphs from Unstructured Texts: Applications and Impact Analyses in Cybersecurity Education. Inf. 13(11): 526 (2022) - [j135]Qianru Wang, Bin Guo, Yi Ouyang, Lu Cheng, Liang Wang, Zhiwen Yu, Huan Liu:
Learning Shared Mobility-Aware Knowledge for Multiple Urban Travel Demands. IEEE Internet Things J. 9(9): 7025-7035 (2022) - [j134]Ebrahim Bagheri, Huan Liu, Kai Shu, Fattane Zarrinkalam:
Foreword to the special issue on dis/misinformation mining from social media. Inf. Process. Manag. 59(2): 102851 (2022) - [j133]Qiang Sheng, Juan Cao, H. Russell Bernard, Kai Shu, Jintao Li, Huan Liu:
Characterizing multi-domain false news and underlying user effects on Chinese Weibo. Inf. Process. Manag. 59(4): 102959 (2022) - [j132]Wen Zhang, B. Blair Braden, Gustavo Miranda, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang:
Integrating Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning. Neuroinformatics 20(2): 301-316 (2022) - [j131]Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu:
Data Augmentation for Deep Graph Learning: A Survey. SIGKDD Explor. 24(2): 61-77 (2022) - [j130]K. Selçuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang, Andrew Tomkins:
ACM WSDM 2022 report. SIGWEB Newsl. 2022(Summer): 1:1-1:6 (2022) - [j129]Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu:
Evaluation Methods and Measures for Causal Learning Algorithms. IEEE Trans. Artif. Intell. 3(6): 924-943 (2022) - [j128]Wei Wang, Tao Tang, Feng Xia, Zhiguo Gong, Zhikui Chen, Huan Liu:
Collaborative Filtering With Network Representation Learning for Citation Recommendation. IEEE Trans. Big Data 8(5): 1233-1246 (2022) - [j127]Tuja Khaund, Baris Kirdemir, Nitin Agarwal, Huan Liu, Fred Morstatter:
Social Bots and Their Coordination During Online Campaigns: A Survey. IEEE Trans. Comput. Soc. Syst. 9(2): 530-545 (2022) - [j126]Kaize Ding, Kai Shu, Xuan Shan, Jundong Li, Huan Liu:
Cross-Domain Graph Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2406-2415 (2022) - [j125]Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu:
Deep Graph Learning for Anomalous Citation Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2543-2557 (2022) - [j124]Haiyang Yu, Zhen Yang, Shanshan Tu, Muhammad Waqas, Huan Liu:
Blockchain-Based Offline Auditing for the Cloud in Vehicular Networks. IEEE Trans. Netw. Serv. Manag. 19(3): 2944-2956 (2022) - [c358]Kaize Ding, Jianling Wang, James Caverlee, Huan Liu:
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning. AAAI 2022: 6524-6531 - [c357]Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu:
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks. IEEE Big Data 2022: 596-605 - [c356]Raha Moraffah, Paras Sheth, Huan Liu:
Exploring the Target Distribution for Surrogate-Based Black-Box Attacks. IEEE Big Data 2022: 1310-1315 - [c355]Paras Sheth, Ting Liu, Durmus Doner, Qi Deng, Yuhang Wei, Rebecca Muenich, John Sabo, K. Selçuk Candan, Huan Liu:
Causal Discovery for Feature Selection in Physical Process-Based Hydrological Systems. IEEE Big Data 2022: 5568-5577 - [c354]Paras Sheth, Reepal Shah, John Sabo, K. Selçuk Candan, Huan Liu:
STCD: A Spatio-Temporal Causal Discovery Framework for Hydrological Systems. IEEE Big Data 2022: 5578-5583 - [c353]Anique Tahir, Lu Cheng, Ruocheng Guo, Huan Liu:
Distributional Shift Adaptation using Domain-Specific Features. IEEE Big Data 2022: 5593-5597 - [c352]Lu Cheng, Nayoung Kim, Huan Liu:
Debiasing Word Embeddings with Nonlinear Geometry. COLING 2022: 1286-1298 - [c351]Walaa Alnasser, Ghazaleh Beigi, Ahmadreza Mosallanezhad, Huan Liu:
PPSL: Privacy-Preserving Text Classification for Split Learning. ICDIS 2022: 160-167 - [c350]Raha Moraffah, Huan Liu:
Query-Efficient Target-Agnostic Black-Box Attack. ICDM 2022: 368-377 - [c349]Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong:
Generalized Few-Shot Node Classification. ICDM 2022: 608-617 - [c348]Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu:
Physics-Informed Graph Learning. ICDM (Workshops) 2022: 732-739 - [c347]Lu Cheng, Ruocheng Guo, Kasim Selçuk Candan, Huan Liu:
Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication. ICWSM 2022: 67-78 - [c346]Amrita Bhattacharjee, Mansooreh Karami, Huan Liu:
Text Transformations in Contrastive Self-Supervised Learning: A Review. IJCAI 2022: 5394-5401 - [c345]Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu:
Few-Shot Learning on Graphs. IJCAI 2022: 5662-5669 - [c344]Kaize Ding, Chuxu Zhang, Jie Tang, Nitesh V. Chawla, Huan Liu:
Toward Graph Minimally-Supervised Learning. KDD 2022: 4782-4783 - [c343]Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu:
The KDD 2022 Workshop on Causal Discovery (CD2022). KDD 2022: 4884-4885 - [c342]Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu:
Preface: The 2022 ACM SIGKDD Workshop on Causal Discovery. CD@KDD 2022: 1-2 - [c341]Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu:
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. LoG 2022: 4 - [c340]Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu:
Supervised Graph Contrastive Learning for Few-Shot Node Classification. ECML/PKDD (2) 2022: 394-411 - [c339]Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V. Mancenido, Huan Liu:
"Let's Eat Grandma": Does Punctuation Matter in Sentence Representation? ECML/PKDD (2) 2022: 588-604 - [c338]Ujun Jeong, Zeyad Alghamdi, Kaize Ding, Lu Cheng, Baoxin Li, Huan Liu:
Classifying COVID-19 Related Meta Ads Using Discourse Representation Through a Hypergraph. SBP-BRiMS 2022: 35-45 - [c337]Lu Cheng, Ahmadreza Mosallanezhad, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Bias Mitigation for Toxicity Detection via Sequential Decisions. SIGIR 2022: 1750-1760 - [c336]Paras Sheth, Ruocheng Guo, Kaize Ding, Lu Cheng, K. Selçuk Candan, Huan Liu:
Causal Disentanglement with Network Information for Debiased Recommendations. SISAP 2022: 265-273 - [c335]Lu Cheng, Ruocheng Guo, Huan Liu:
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies. WSDM 2022: 103-112 - [c334]Lu Cheng, Ruocheng Guo, Huan Liu:
Causal Mediation Analysis with Hidden Confounders. WSDM 2022: 113-122 - [c333]Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu:
Graph Few-shot Class-incremental Learning. WSDM 2022: 987-996 - [c332]Kaize Ding, Jundong Li, Nitesh V. Chawla, Huan Liu:
Graph Minimally-supervised Learning. WSDM 2022: 1620-1622 - [c331]Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu:
Domain Adaptive Fake News Detection via Reinforcement Learning. WWW 2022: 3632-3640 - [c330]Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, Reza Zafarani:
"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders. WWW 2022: 3685-3694 - [e8]Thuc Duy Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu:
The KDD'22 Workshop on Causal Discovery, 15 August 2022, Washington DC, USA. Proceedings of Machine Learning Research 185, PMLR 2022 [contents] - [e7]K. Selcuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang:
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022. ACM 2022, ISBN 978-1-4503-9132-0 [contents] - [i104]Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu:
Evaluation Methods and Measures for Causal Learning Algorithms. CoRR abs/2202.02896 (2022) - [i103]Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, Reza Zafarani:
"This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders. CoRR abs/2202.04752 (2022) - [i102]Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu:
Domain Adaptive Fake News Detection via Reinforcement Learning. CoRR abs/2202.08159 (2022) - [i101]Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu:
Data Augmentation for Deep Graph Learning: A Survey. CoRR abs/2202.08235 (2022) - [i100]Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu:
Structural and Semantic Contrastive Learning for Self-supervised Node Representation Learning. CoRR abs/2202.08480 (2022) - [i99]Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu:
Physics-Informed Graph Learning: A Survey. CoRR abs/2202.10679 (2022) - [i98]Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu:
Deep Graph Learning for Anomalous Citation Detection. CoRR abs/2202.11360 (2022) - [i97]Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu:
Few-Shot Learning on Graphs: A Survey. CoRR abs/2203.09308 (2022) - [i96]Amrita Bhattacharjee, Mansooreh Karami, Huan Liu:
Text Transformations in Contrastive Self-Supervised Learning: A Review. CoRR abs/2203.12000 (2022) - [i95]Zhen Tan, Kaize Ding, Ruocheng Guo, Huan Liu:
A Simple Yet Effective Pretraining Strategy for Graph Few-shot Learning. CoRR abs/2203.15936 (2022) - [i94]Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, K. Selçuk Candan:
Causal Disentanglement with Network Information for Debiased Recommendations. CoRR abs/2204.07221 (2022) - [i93]Qiang Sheng, Juan Cao, H. Russell Bernard, Kai Shu, Jintao Li, Huan Liu:
Characterizing Multi-Domain False News and Underlying User Effects on Chinese Weibo. CoRR abs/2205.03068 (2022) - [i92]Lu Cheng, Suyu Ge, Huan Liu:
Toward Understanding Bias Correlations for Mitigation in NLP. CoRR abs/2205.12391 (2022) - [i91]Bohan Jiang, Paras Sheth, Baoxin Li, Huan Liu:
CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research. CoRR abs/2207.01505 (2022) - [i90]Mansooreh Karami, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu:
Estimating Topic Exposure for Under-Represented Users on Social Media. CoRR abs/2208.03796 (2022) - [i89]Anique Tahir, Lu Cheng, Paras Sheth, Huan Liu:
Improving Vaccine Stance Detection by Combining Online and Offline Data. CoRR abs/2208.04491 (2022) - [i88]Kaize Ding, Elnaz Nouri, Guoqing Zheng, Huan Liu, Ryen White:
Learning with Few Labeled Nodes via Augmented Graph Self-Training. CoRR abs/2208.12422 (2022) - [i87]Lu Cheng, Nayoung Kim, Huan Liu:
Debiasing Word Embeddings with Nonlinear Geometry. CoRR abs/2208.13899 (2022) - [i86]Paras Sheth, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu:
Domain Generalization - A Causal Perspective. CoRR abs/2209.15177 (2022) - [i85]Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan:
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. CoRR abs/2211.04208 (2022) - [i84]Anique Tahir, Lu Cheng, Ruocheng Guo, Huan Liu:
Distributional Shift Adaptation using Domain-Specific Features. CoRR abs/2211.04670 (2022) - [i83]Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu:
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. CoRR abs/2212.05606 (2022) - [i82]Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu:
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks. CoRR abs/2212.12621 (2022) - 2021
- [j123]Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu:
A Survey of Learning Causality with Data: Problems and Methods. ACM Comput. Surv. 53(4): 75:1-75:37 (2021) - [j122]Guansong Pang, Fabrizio Angiulli, Mihai Cucuringu, Huan Liu:
Guest Editorial: Non-IID Outlier Detection in Complex Contexts. IEEE Intell. Syst. 36(3): 3-4 (2021) - [j121]Kai Shu, Susan T. Dumais, Ahmed Hassan Awadallah, Huan Liu:
Detecting Fake News With Weak Social Supervision. IEEE Intell. Syst. 36(4): 96-103 (2021) - [j120]Lu Cheng, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Session-Based Cyberbullying Detection: Problems and Challenges. IEEE Internet Comput. 25(2): 66-72 (2021) - [j119]Lu Cheng, Kush R. Varshney, Huan Liu:
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges. J. Artif. Intell. Res. 71: 1137-1181 (2021) - [j118]Chen Chen, Yinglong Xia, Hui Zang, Jundong Li, Huan Liu, Hanghang Tong:
Incremental one-class collaborative filtering with co-evolving side networks. Knowl. Inf. Syst. 63(1): 105-124 (2021) - [j117]Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu:
Causal inference for time series analysis: problems, methods and evaluation. Knowl. Inf. Syst. 63(12): 3041-3085 (2021) - [j116]Ninghao Liu, Mengnan Du, Ruocheng Guo, Huan Liu, Xia Hu:
Adversarial Attacks and Defenses: An Interpretation Perspective. SIGKDD Explor. 23(1): 86-99 (2021) - [j115]Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu:
Graph Learning: A Survey. IEEE Trans. Artif. Intell. 2(