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ORCIDLu Cheng 0001
Person information
- unicode name: 程璐
- affiliation: University of Illinois Chicago, Department of Computer Science, IL, USA
- affiliation (PhD): Arizona State University, School of Computing, Informatics, and Decision Systems Engineering, Tempe, AZ, USA
Other persons with the same name
- Lu Cheng — disambiguation page
- Lu Cheng 0002 — University of Waterloo, Department of Statistics and Actuarial Science, ON, Canada (and 1 more)
- Lu Cheng 0003 — Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, China
- Lu Cheng 0004
![[0000-0002-6391-2360]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6391-2360")
— Aalto University, Helsinki, Finland (and 1 more) - Lu Cheng 0005 — University of California, Los Angeles, Department of Mathematics, CA, USA
- Lu Cheng 0006 — Donghua University, Shanghai, China
- Lu Cheng 0007 — Wuhan University, School of Resource and Environment Science, China
- Lu Cheng 0008 — Beijing University of Technology, School of Economics and Management, China
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Books and Theses
- 2023
[b1]Lu Cheng, Huan Liu:
Socially Responsible AI - Theories and Practices. WorldScientific 2023, ISBN 9789811266621, pp. 1-196
Journal Articles
- 2023
- [j9]Qianru Wang, Bin Guo, Lu Cheng, Zhiwen Yu:
sUrban: Stable Prediction for Unseen Urban Data from Location-based Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(3): 132:1-132:20 (2023) - [j8]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) - [j7]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) - 2022
- [j6]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) - [j5]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) - 2021
- [j4]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) - [j3]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) - [j2]Lu Cheng, Kush R. Varshney, Huan Liu:
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges. J. Artif. Intell. Res. 71: 1137-1181 (2021) - [j1]Lu Cheng, Ruocheng Guo, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks. Trans. Data Sci. 2(2): 8:1-8:23 (2021)
Conference and Workshop Papers
- 2024
- [c30]Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu:
Interpreting Pretrained Language Models via Concept Bottlenecks. PAKDD (3) 2024: 56-74 - 2023
- [c29]Kenya S. Andrews, Bhuvni Shah, Lu Cheng:
Intersectionality and Testimonial Injustice in Medical Records. ClinicalNLP@ACL 2023: 358-372 - [c28]Anique Tahir, Lu Cheng, Huan Liu:
Fairness through Aleatoric Uncertainty. CIKM 2023: 2372-2381 - [c27]Tianyi Zhao, Hui Hu, Lu Cheng:
Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs. CIKM 2023: 3474-3483 - [c26]Song Wang, Jing Ma, Lu Cheng, Jundong Li:
Fair Few-Shot Learning with Auxiliary Sets. ECAI 2023: 2517-2524 - [c25]Usman Gohar, Lu Cheng:
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges. IJCAI 2023: 6619-6627 - [c24]Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu, Philip S. Yu:
Equal Opportunity of Coverage in Fair Regression. NeurIPS 2023 - 2022
- [c23]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 - [c22]Anique Tahir, Lu Cheng, Ruocheng Guo, Huan Liu:
Distributional Shift Adaptation using Domain-Specific Features. IEEE Big Data 2022: 5593-5597 - [c21]Lu Cheng, Nayoung Kim, Huan Liu:
Debiasing Word Embeddings with Nonlinear Geometry. COLING 2022: 1286-1298 - [c20]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 - [c19]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 - [c18]Lu Cheng, Ahmadreza Mosallanezhad, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Bias Mitigation for Toxicity Detection via Sequential Decisions. SIGIR 2022: 1750-1760 - [c17]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 - [c16]Lu Cheng, Ruocheng Guo, Huan Liu:
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies. WSDM 2022: 103-112 - [c15]Lu Cheng, Ruocheng Guo, Huan Liu:
Causal Mediation Analysis with Hidden Confounders. WSDM 2022: 113-122 - [c14]Hui Hu, Lu Cheng, Jayden Parker Vap, Mike Borowczak:
Learning Privacy-Preserving Graph Convolutional Network with Partially Observed Sensitive Attributes. WWW 2022: 3552-3561 - 2021
- [c13]Lu Cheng, Ahmadreza Mosallanezhad, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach. ACL/IJCNLP (1) 2021: 2158-2168 - [c12]Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu:
Causal Learning for Socially Responsible AI. IJCAI 2021: 4374-4381 - [c11]Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu:
Causal Understanding of Fake News Dissemination on Social Media. KDD 2021: 148-157 - [c10]Lu Cheng, Ruocheng Guo, Huan Liu:
Long-Term Effect Estimation with Surrogate Representation. WSDM 2021: 274-282 - [c9]Suyu Ge, Lu Cheng, Huan Liu:
Improving Cyberbullying Detection with User Interaction. WWW 2021: 496-506 - 2020
- [c8]Lu Cheng, Jundong Li, K. Selçuk Candan, Huan Liu:
Tracking Disaster Footprints with Social Streaming Data. AAAI 2020: 370-377 - [c7]Lu Cheng, Kai Shu, Siqi Wu, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model. CIKM 2020: 185-194 - [c6]Lu Cheng, Ruocheng Guo, K. Selçuk Candan, Huan Liu:
Representation Learning for Imbalanced Cross-Domain Classification. SDM 2020: 478-486 - 2019
- [c5]Lu Cheng, Ruocheng Guo, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu:
A Practical Data Repository for Causal Learning with Big Data. Bench 2019: 234-248 - [c4]Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu:
PI-Bully: Personalized Cyberbullying Detection with Peer Influence. IJCAI 2019: 5829-5835 - [c3]Lu Cheng, Ruocheng Guo, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network. SDM 2019: 235-243 - [c2]Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu:
XBully: Cyberbullying Detection within a Multi-Modal Context. WSDM 2019: 339-347 - [c1]Lu Cheng, Ruocheng Guo, Huan Liu:
Robust Cyberbullying Detection with Causal Interpretation. WWW (Companion Volume) 2019: 169-175
Informal and Other Publications
- 2024
- [i35]Tianyi Zhao, Liangliang Zhang, Yao Ma, Lu Cheng:
A Survey on Safe Multi-Modal Learning System. CoRR abs/2402.05355 (2024) - [i34]Zhen Tan, Alimohammad Beigi, Song Wang, Ruocheng Guo, Amrita Bhattacharjee, Bohan Jiang, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu:
Large Language Models for Data Annotation: A Survey. CoRR abs/2402.13446 (2024) - [i33]Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma:
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. CoRR abs/2402.15680 (2024) - [i32]Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu:
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media. CoRR abs/2403.04009 (2024) - [i31]Anique Tahir, Lu Cheng, Huan Liu:
JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning. CoRR abs/2403.11366 (2024) - 2023
- [i30]Anique Tahir, Lu Cheng, Huan Liu:
Fairness through Aleatoric Uncertainty. CoRR abs/2304.03646 (2023) - [i29]Usman Gohar, Lu Cheng:
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges. CoRR abs/2305.06969 (2023) - [i28]Kenya S. Andrews, Bhuvani Shah, Lu Cheng:
Intersectionality and Testimonial Injustice in Medical Records. CoRR abs/2306.13675 (2023) - [i27]Tianyi Zhao, Hui Hu, Lu Cheng:
Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs. CoRR abs/2308.13513 (2023) - [i26]Song Wang, Jing Ma, Lu Cheng, Jundong Li:
Fair Few-shot Learning with Auxiliary Sets. CoRR abs/2308.14338 (2023) - [i25]Nayoung Kim, David Mosallanezhad, Lu Cheng, Michelle V. Mancenido, Huan Liu:
STANCE-C3: Domain-adaptive Cross-target Stance Detection via Contrastive Learning and Counterfactual Generation. CoRR abs/2309.15176 (2023) - [i24]Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu, Philip S. Yu:
Equal Opportunity of Coverage in Fair Regression. CoRR abs/2311.02243 (2023) - [i23]Zhen Tan, Lu Cheng, Song Wang, Yuan Bo, Jundong Li, Huan Liu:
Interpreting Pretrained Language Models via Concept Bottlenecks. CoRR abs/2311.05014 (2023) - [i22]Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu:
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models. CoRR abs/2311.09428 (2023) - 2022
- [i21]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) - [i20]Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, K. Selçuk Candan:
Causal Disentanglement with Network Information for Debiased Recommendations. CoRR abs/2204.07221 (2022) - [i19]Lu Cheng, Suyu Ge, Huan Liu:
Toward Understanding Bias Correlations for Mitigation in NLP. CoRR abs/2205.12391 (2022) - [i18]Nayoung Kim, Ahmadreza Mosallanezhad, Lu Cheng, Baoxin Li, Huan Li:
Bridging the Gap: Commonality and Differences between Online and Offline COVID-19 Data. CoRR abs/2208.03907 (2022) - [i17]Anique Tahir, Lu Cheng, Paras Sheth, Huan Liu:
Improving Vaccine Stance Detection by Combining Online and Offline Data. CoRR abs/2208.04491 (2022) - [i16]Lu Cheng, Nayoung Kim, Huan Liu:
Debiasing Word Embeddings with Nonlinear Geometry. CoRR abs/2208.13899 (2022) - [i15]Anique Tahir, Lu Cheng, Ruocheng Guo, Huan Liu:
Distributional Shift Adaptation using Domain-Specific Features. CoRR abs/2211.04670 (2022) - [i14]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
- [i13]Lu Cheng, Kush R. Varshney, Huan Liu:
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges. CoRR abs/2101.02032 (2021) - [i12]Lu Cheng, Ruocheng Guo, Huan Liu:
Causal Mediation Analysis with Hidden Confounders. CoRR abs/2102.11724 (2021) - [i11]Lu Cheng, Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Ioana Baldini:
Automated Meta-Analysis: A Causal Learning Perspective. CoRR abs/2104.04633 (2021) - [i10]Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu:
Causal Learning for Socially Responsible AI. CoRR abs/2104.12278 (2021) - [i9]Bohan Jiang, Mansooreh Karami, Lu Cheng, Tyler Black, Huan Liu:
Mechanisms and Attributes of Echo Chambers in Social Media. CoRR abs/2106.05401 (2021) - [i8]Lu Cheng, Ruocheng Guo, Kasim Selçuk Candan, Huan Liu:
Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication. CoRR abs/2110.01746 (2021) - [i7]Faisal Alatawi, Lu Cheng, Anique Tahir, Mansooreh Karami, Bohan Jiang, Tyler Black, Huan Liu:
A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation. CoRR abs/2112.05084 (2021) - [i6]Lu Cheng, Ruocheng Guo, Huan Liu:
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies. CoRR abs/2112.10274 (2021) - 2020
- [i5]Lu Cheng, Kai Shu, Siqi Wu, Yasin N. Silva, Deborah L. Hall, Huan Liu:
Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model. CoRR abs/2008.02642 (2020) - [i4]Lu Cheng, Ruocheng Guo, Huan Liu:
Long-Term Effect Estimation with Surrogate Representation. CoRR abs/2008.08236 (2020) - [i3]Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu:
Towards Causal Understanding of Fake News Dissemination. CoRR abs/2010.10580 (2020) - [i2]Suyu Ge, Lu Cheng, Huan Liu:
Improving Cyberbully Detection with User Interaction. CoRR abs/2011.00449 (2020) - 2018
- [i1]Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu:
A Survey of Learning Causality with Data: Problems and Methods. CoRR abs/1809.09337 (2018)
Coauthor Index
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