Lu Cheng

120 papers A* 15A 12B 11Journal 68Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Conformal Prediction: A Data Perspective.
ACM Comput. Surv.
Xiaofan Zhou, Baiting Chen, Yu Gui, Lu Cheng
2026 J jnl
EpiQAL: Benchmarking Large Language Models in Epidemiological Question Answering for Enhanced Alignment and Reasoning.
CoRR
Mingyang Wei, Dehai Min, Zewen Liu, Yuzhang Xie, Guanchen Wu, Carl Yang, Max S. Y. Lau, Qi He, Lu Cheng, Wei Jin
2026 J jnl
Interpretable named entity recognition via integrating logical rule learning with deep neural networks.
Expert Syst. Appl.
Yulin Chen, Bo Yuan, Beishui Liao, Dov M. Gabbay, Lu Cheng
2026 J jnl
URAG: A Benchmark for Uncertainty Quantification in Retrieval-Augmented Large Language Models.
CoRR
Vinh Nguyen, Cuong Dang, Jiahao Zhang, Hoa Tran, Minh Tran, Trinh Chau, Thai Le, Lu Cheng, Suhang Wang
2025 J jnl
Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation.
CoRR
Xiaofan Zhou, Liangjie Huang, Pinyang Cheng, Wenpeng Yin, Rui Zhang, Wenrui Hao, Lu Cheng
2025 B conf
Accelerating Causal Network Discovery of Alzheimer's Disease Biomarkers via Scientific Literature-Based Retrieval Augmented Generation.
IEEE Big Data
Xiaofan Zhou, Liangjie Huang, Pinyang Chen, Wenpeng Yin, Rui Zhang, Wenrui Hao, Lu Cheng
2025 B conf
Adaptive Degree-Based Conformal Prediction for Individual Treatment Effect Estimation on Networked Data.
IEEE Big Data
Xiaofan Zhou, Jing Ma, Lu Cheng
2025 B conf
Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models.
IEEE Big Data
Liangjie Huang, Dawei Li, Huan Liu, Lu Cheng
2025 J jnl
Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models.
CoRR
Liangjie Huang, Dawei Li, Huan Liu, Lu Cheng
2025 J jnl
DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models.
CoRR
Zihao Li, Ruixiang Tang, Lu Cheng, Shuaiqiang Wang, Dawei Yin, Mengnan Du
2025 J jnl
DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models.
SIGKDD Explor.
Zihao Li, Ruixiang Tang, Lu Cheng, Shuaiqiang Wang, Dawei Yin, Mengnan Du
2025 J jnl
Deconstructing the ethics of large language models from long-standing issues to new-emerging dilemmas: a survey.
AI Ethics
Chengyuan Deng, Yiqun Duan, Xin Jin, Heng Chang, Yijun Tian, Han Liu, Yichen Wang, Kuofeng Gao, Henry Peng Zou, Yiqiao Jin, Yijia Xiao, Shenghao Wu, Zongxing Xie, Weimin Lyu, Sihong He, Lu Cheng, Haohan Wang, Jun Zhuang
2025 B conf
DemoShapley: Valuation of Demonstrations for In-Context Learning.
IEEE Big Data
Shan Xie, Man Luo, Chadly Daniel Stern, Mengnan Du, Lu Cheng
2025 B conf
FABLE: Fairness Attack in Abusive Language Detection.
IEEE Big Data
Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu
2025 A* conf
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge.
EMNLP
Dawei Li, Bohan Jiang, Liangjie Huang, Alimohammad Beigi, Chengshuai Zhao, Zhen Tan, Amrita Bhattacharjee, Yuxuan Jiang, Canyu Chen, Tianhao Wu, Kai Shu, Lu Cheng, Huan Liu
2025 A* conf
Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract).
IJCAI
Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu
2025 — conf
Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability.
EMNLP (Findings)
Dong Shu, Haiyan Zhao, Jingyu Hu, Weiru Liu, Ali Payani, Lu Cheng, Mengnan Du
2025 J jnl
Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability.
CoRR
Dong Shu, Haiyan Zhao, Jingyu Hu, Weiru Liu, Lu Cheng, Mengnan Du
2025 J jnl
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges.
Trans. Mach. Learn. Res.
Usman Gohar, Zeyu Tang, Jialu Wang, Kun Zhang, Peter Spirtes, Yang Liu, Lu Cheng
2025 J jnl
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks.
SIGKDD Explor.
Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma
2025 — conf
SciSoc LLM Workshop: Large Language Models for Scientific and Societal Advances.
KDD (2)
Wei Jin, Lu Cheng, Wenpeng Yin, Xianfeng Tang, Qingsong Wen, Danai Koutra, B. Aditya Prakash, Yan Liu
2025 J jnl
Shakespearean Sparks: The Dance of Hallucination and Creativity in LLMs' Decoding Layers.
CoRR
Zicong He, Boxuan Zhang, Lu Cheng
2025 A conf
Socially Responsible and Trustworthy Generative Foundation Models: Principles, Challenges, and Practices.
CIKM
Yue Huang, Canyu Chen, Lu Cheng, Bhavya Kailkhura, Nitesh V. Chawla, Xiangliang Zhang
2025 J jnl
What Shapes a Creative Machine Mind? Comprehensively Benchmarking Creativity in Foundation Models.
CoRR
Zicong He, Boxuan Zhang, Weihao Liu, Ruixiang Tang, Lu Cheng
2024 J jnl
A Survey on Safe Multi-Modal Learning System.
CoRR
Tianyi Zhao, Liangliang Zhang, Yao Ma, Lu Cheng
2024 A* conf
A Survey on Safe Multi-Modal Learning Systems.
KDD
Tianyi Zhao, Liangliang Zhang, Yao Ma, Lu Cheng
2024 — conf
AI Driven Online Advertising: Market Design, Generative AI, and Ethics.
WWW (Companion Volume)
Fengxiang He, Mengnan Du, Aris Filos-Ratsikas, Lu Cheng, Qingquan Song, Min Lin, John Vines
2024 B conf
Assessing Empathy in Large Language Models with Real-World Physician-Patient Interactions.
IEEE Big Data
Man Luo, Christopher J. Warren, Lu Cheng, Haidar M. Abdul-Muhsin, Imon Banerjee
2024 A* conf
Conformalized Link Prediction on Graph Neural Networks.
KDD
Tianyi Zhao, Jian Kang, Lu Cheng
2024 J jnl
Conformalized Link Prediction on Graph Neural Networks.
CoRR
Tianyi Zhao, Jian Kang, Lu Cheng
2024 J jnl
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas.
CoRR
Chengyuan Deng, Yiqun Duan, Xin Jin, Heng Chang, Yijun Tian, Han Liu, Henry Peng Zou, Yiqiao Jin, Yijia Xiao, Yichen Wang, Shenghao Wu, Zongxing Xie, Kuofeng Gao, Sihong He, Jun Zhuang, Lu Cheng, Haohan Wang
2024 J jnl
DemoShapley: Valuation of Demonstrations for In-Context Learning.
CoRR
Shan Xie, Man Luo, Chadly Daniel Stern, Mengnan Du, Lu Cheng
2024 — conf
Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML.
AFME
Prakhar Ganesh, Usman Gohar, Lu Cheng, Golnoosh Farnadi
2024 J jnl
Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML.
CoRR
Prakhar Ganesh, Usman Gohar, Lu Cheng, Golnoosh Farnadi
2024 J jnl
Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation.
CoRR
Jihyun Janice Ahn, Ryo Kamoi, Lu Cheng, Rui Zhang, Wenpeng Yin
2024 — conf
Evaluating LLMs Capabilities Towards Understanding Social Dynamics.
ASONAM (3)
Anique Tahir, Lu Cheng, Manuel Sandoval, Yasin N. Silva, Deborah L. Hall, Huan Liu
2024 J jnl
Evaluating LLMs Capabilities Towards Understanding Social Dynamics.
CoRR
Anique Tahir, Lu Cheng, Manuel Sandoval, Yasin N. Silva, Deborah L. Hall, Huan Liu
2024 J jnl
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge.
CoRR
Dawei Li, Bohan Jiang, Liangjie Huang, Alimohammad Beigi, Chengshuai Zhao, Zhen Tan, Amrita Bhattacharjee, Yuxuan Jiang, Canyu Chen, Tianhao Wu, Kai Shu, Lu Cheng, Huan Liu
2024 — conf
Interpreting Pretrained Language Models via Concept Bottlenecks.
PAKDD (3)
Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu
2024 — conf
JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning.
ACL (3)
Anique Tahir, Lu Cheng, Huan Liu
2024 J jnl
JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning.
CoRR
Anique Tahir, Lu Cheng, Huan Liu
2024 A* conf
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.
EMNLP
Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, 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
2024 J jnl
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.
CoRR
Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Ranran Haoran 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
2024 A* conf
Large Language Models for Data Annotation and Synthesis: A Survey.
EMNLP
Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu
2024 J jnl
Large Language Models for Data Annotation: A Survey.
CoRR
Zhen Tan, Alimohammad Beigi, Song Wang, Ruocheng Guo, Amrita Bhattacharjee, Bohan Jiang, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu
2024 J jnl
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges.
CoRR
Usman Gohar, Zeyu Tang, Jialu Wang, Kun Zhang, Peter L. Spirtes, Yang Liu, Lu Cheng
2024 B conf
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media.
DSAA
Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu
2024 J jnl
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media.
CoRR
Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu
2024 J jnl
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks.
CoRR
Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma
2024 — conf
Robust Stance Detection: Understanding Public Perceptions in Social Media.
ASONAM (2)
Nayoung Kim, David Mosallanezhad, Lu Cheng, Michelle V. Mancenido, Huan Liu
2023 A* conf
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges.
IJCAI
Usman Gohar, Lu Cheng
2023 J jnl
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges.
CoRR
Usman Gohar, Lu Cheng
2023 J jnl
A Theoretical Approach to Characterize the Accuracy-Fairness Trade-off Pareto Frontier.
CoRR
Hua Tang, Lu Cheng, Ninghao Liu, Mengnan Du
2023 J jnl
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models.
CoRR
Yueqing Liang, Lu Cheng, Ali Payani, Kai Shu
2023 J jnl
Causal Disentanglement for Implicit Recommendations with Network Information.
ACM Trans. Knowl. Discov. Data
Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, Kasim Selçuk Candan
2023 J jnl
CausalSE: Understanding Varied Spatial Effects with Missing Data Toward Adding New Bike-sharing Stations.
ACM Trans. Knowl. Discov. Data
Qianru Wang, Bin Guo, Lu Cheng, Zhiwen Yu, Huan Liu
2023 A* conf
Equal Opportunity of Coverage in Fair Regression.
NeurIPS
Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu, Philip S. Yu
2023 J jnl
Equal Opportunity of Coverage in Fair Regression.
CoRR
Fangxin Wang, Lu Cheng, Ruocheng Guo, Kay Liu, Philip S. Yu
2023 A conf
Fair Few-Shot Learning with Auxiliary Sets.
ECAI
Song Wang, Jing Ma, Lu Cheng, Jundong Li
2023 J jnl
Fair Few-shot Learning with Auxiliary Sets.
CoRR
Song Wang, Jing Ma, Lu Cheng, Jundong Li
2023 A conf
Fairness through Aleatoric Uncertainty.
CIKM
Anique Tahir, Lu Cheng, Huan Liu
2023 J jnl
Fairness through Aleatoric Uncertainty.
CoRR
Anique Tahir, Lu Cheng, Huan Liu
2023 J jnl
Interpreting Pretrained Language Models via Concept Bottlenecks.
CoRR
Zhen Tan, Lu Cheng, Song Wang, Yuan Bo, Jundong Li, Huan Liu
2023 — conf
Intersectionality and Testimonial Injustice in Medical Records.
ClinicalNLP@ACL
Kenya S. Andrews, Bhuvni Shah, Lu Cheng
2023 J jnl
Intersectionality and Testimonial Injustice in Medical Records.
CoRR
Kenya S. Andrews, Bhuvani Shah, Lu Cheng
2023 J jnl
STANCE-C3: Domain-adaptive Cross-target Stance Detection via Contrastive Learning and Counterfactual Generation.
CoRR
Nayoung Kim, David Mosallanezhad, Lu Cheng, Michelle V. Mancenido, Huan Liu
2023 — book
Socially Responsible AI - Theories and Practices
Socially Responsible AI
Lu Cheng, Huan Liu
2023 A conf
Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs.
CIKM
Tianyi Zhao, Hui Hu, Lu Cheng
2023 J jnl
Unveiling the Role of Message Passing in Dual-Privacy Preservation on GNNs.
CoRR
Tianyi Zhao, Hui Hu, Lu Cheng
2023 J jnl
sUrban: Stable Prediction for Unseen Urban Data from Location-based Sensors.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Qianru Wang, Bin Guo, Lu Cheng, Zhiwen Yu
2022 A* conf
Bias Mitigation for Toxicity Detection via Sequential Decisions.
SIGIR
Lu Cheng, Ahmadreza Mosallanezhad, Yasin N. Silva, Deborah L. Hall, Huan Liu
2022 J jnl
Bridging the Gap: Commonality and Differences between Online and Offline COVID-19 Data.
CoRR
Nayoung Kim, Ahmadreza Mosallanezhad, Lu Cheng, Baoxin Li, Huan Li
2022 B conf
Causal Disentanglement with Network Information for Debiased Recommendations.
SISAP
Paras Sheth, Ruocheng Guo, Kaize Ding, Lu Cheng, K. Selçuk Candan, Huan Liu
2022 J jnl
Causal Disentanglement with Network Information for Debiased Recommendations.
CoRR
Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, K. Selçuk Candan
2022 A conf
Causal Mediation Analysis with Hidden Confounders.
WSDM
Lu Cheng, Ruocheng Guo, Huan Liu
2022 — conf
Classifying COVID-19 Related Meta Ads Using Discourse Representation Through a Hypergraph.
SBP-BRiMS
Ujun Jeong, Zeyad Alghamdi, Kaize Ding, Lu Cheng, Baoxin Li, Huan Liu
2022 B conf
Debiasing Word Embeddings with Nonlinear Geometry.
COLING
Lu Cheng, Nayoung Kim, Huan Liu
2022 J jnl
Debiasing Word Embeddings with Nonlinear Geometry.
CoRR
Lu Cheng, Nayoung Kim, Huan Liu
2022 B conf
Distributional Shift Adaptation using Domain-Specific Features.
IEEE Big Data
Anique Tahir, Lu Cheng, Ruocheng Guo, Huan Liu
2022 J jnl
Distributional Shift Adaptation using Domain-Specific Features.
CoRR
Anique Tahir, Lu Cheng, Ruocheng Guo, Huan Liu
2022 A conf
Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication.
ICWSM
Lu Cheng, Ruocheng Guo, Kasim Selçuk Candan, Huan Liu
2022 A conf
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies.
WSDM
Lu Cheng, Ruocheng Guo, Huan Liu
2022 J jnl
Evaluation Methods and Measures for Causal Learning Algorithms.
CoRR
Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu
2022 J jnl
Evaluation Methods and Measures for Causal Learning Algorithms.
IEEE Trans. Artif. Intell.
Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu
2022 J jnl
Improving Vaccine Stance Detection by Combining Online and Offline Data.
CoRR
Anique Tahir, Lu Cheng, Paras Sheth, Huan Liu
2022 A* conf
Learning Privacy-Preserving Graph Convolutional Network with Partially Observed Sensitive Attributes.
WWW
Hui Hu, Lu Cheng, Jayden Parker Vap, Mike Borowczak
2022 J jnl
Learning Shared Mobility-Aware Knowledge for Multiple Urban Travel Demands.
IEEE Internet Things J.
Qianru Wang, Bin Guo, Yi Ouyang, Lu Cheng, Liang Wang, Zhiwen Yu, Huan Liu
2022 B conf
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks.
IEEE Big Data
Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu
2022 J jnl
Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks.
CoRR
Ujun Jeong, Kaize Ding, Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu
2022 J jnl
Toward Understanding Bias Correlations for Mitigation in NLP.
CoRR
Lu Cheng, Suyu Ge, Huan Liu
2021 J jnl
A Survey of Learning Causality with Data: Problems and Methods.
ACM Comput. Surv.
Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu
2021 J jnl
A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation.
CoRR
Faisal Alatawi, Lu Cheng, Anique Tahir, Mansooreh Karami, Bohan Jiang, Tyler Black, Huan Liu
2021 J jnl
Automated Meta-Analysis: A Causal Learning Perspective.
CoRR
Lu Cheng, Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Ioana Baldini
2021 A* conf
Causal Learning for Socially Responsible AI.
IJCAI
Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu
2021 J jnl
Causal Learning for Socially Responsible AI.
CoRR
Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu
2021 J jnl
Causal Mediation Analysis with Hidden Confounders.
CoRR
Lu Cheng, Ruocheng Guo, Huan Liu
2021 A* conf
Causal Understanding of Fake News Dissemination on Social Media.
KDD
Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu
2021 J jnl
Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication.
CoRR
Lu Cheng, Ruocheng Guo, Kasim Selçuk Candan, Huan Liu
2021 J jnl
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies.
CoRR
Lu Cheng, Ruocheng Guo, Huan Liu
2021 A* conf
Improving Cyberbullying Detection with User Interaction.
WWW
Suyu Ge, Lu Cheng, Huan Liu
2021 A conf
Long-Term Effect Estimation with Surrogate Representation.
WSDM
Lu Cheng, Ruocheng Guo, Huan Liu
2021 J jnl
Mechanisms and Attributes of Echo Chambers in Social Media.
CoRR
Bohan Jiang, Mansooreh Karami, Lu Cheng, Tyler Black, Huan Liu
2021 — conf
Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach.
ACL/IJCNLP (1)
Lu Cheng, Ahmadreza Mosallanezhad, Yasin N. Silva, Deborah L. Hall, Huan Liu
2021 J jnl
Modeling Temporal Patterns of Cyberbullying Detection with Hierarchical Attention Networks.
Trans. Data Sci.
Lu Cheng, Ruocheng Guo, Yasin N. Silva, Deborah L. Hall, Huan Liu
2021 J jnl
Session-Based Cyberbullying Detection: Problems and Challenges.
IEEE Internet Comput.
Lu Cheng, Yasin N. Silva, Deborah L. Hall, Huan Liu
2021 J jnl
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges.
CoRR
Lu Cheng, Kush R. Varshney, Huan Liu
2021 J jnl
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges.
J. Artif. Intell. Res.
Lu Cheng, Kush R. Varshney, Huan Liu
2020 J jnl
Improving Cyberbully Detection with User Interaction.
CoRR
Suyu Ge, Lu Cheng, Huan Liu
2020 J jnl
Long-Term Effect Estimation with Surrogate Representation.
CoRR
Lu Cheng, Ruocheng Guo, Huan Liu
2020 A conf
Representation Learning for Imbalanced Cross-Domain Classification.
SDM
Lu Cheng, Ruocheng Guo, K. Selçuk Candan, Huan Liu
2020 J jnl
Towards Causal Understanding of Fake News Dissemination.
CoRR
Lu Cheng, Ruocheng Guo, Kai Shu, Huan Liu
2020 A* conf
Tracking Disaster Footprints with Social Streaming Data.
AAAI
Lu Cheng, Jundong Li, K. Selçuk Candan, Huan Liu
2020 A conf
Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model.
CIKM
Lu Cheng, Kai Shu, Siqi Wu, Yasin N. Silva, Deborah L. Hall, Huan Liu
2020 J jnl
Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model.
CoRR
Lu Cheng, Kai Shu, Siqi Wu, Yasin N. Silva, Deborah L. Hall, Huan Liu
2019 — conf
A Practical Data Repository for Causal Learning with Big Data.
Bench
Lu Cheng, Ruocheng Guo, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu
2019 A conf
Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network.
SDM
Lu Cheng, Ruocheng Guo, Yasin N. Silva, Deborah L. Hall, Huan Liu
2019 A* conf
PI-Bully: Personalized Cyberbullying Detection with Peer Influence.
IJCAI
Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu
2019 — conf
Robust Cyberbullying Detection with Causal Interpretation.
WWW (Companion Volume)
Lu Cheng, Ruocheng Guo, Huan Liu
2019 A conf
XBully: Cyberbullying Detection within a Multi-Modal Context.
WSDM
Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu
2018 J jnl
A Survey of Learning Causality with Data: Problems and Methods.
CoRR
Ruocheng Guo, Lu Cheng, Jundong Li, P. Richard Hahn, Huan Liu