Cybersecurity and Digital Forensics, Center for (CDF)

Research output

Research output per year 1993 2016 2017 2018 2019 2020 2021 2022 2023

• 310 Conference contribution
• 128 Article
• 40 Editorial
• 35 Chapter
• 26 More
  • 8 Paper
  • 7 Conference article
  • 5 Review article
  • 4 Book
  • 2 Comment/debate

Research output per year

Research output per year

Search results

• 2023

  ACM TECS Special Issue on Embedded System Security Tutorials

  Shrivastava, A., Chen, J. J., Kumar, A. & Das, A., Jun 1 2023, In: ACM Transactions on Embedded Computing Systems. 22, 3, 41.

  Research output: Contribution to journal › Editorial › peer-review

• A Two-tier Shared Embedding Method for Review-based Recommender Systems

  Yang, Z., Liu, J., Li, T., Wu, D., Yang, S. & Liu, H., Oct 21 2023, CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 2928-2938 11 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Recommender Systems 100%
  • Homophily 87%
  • Multiple Use 12%
  • Individual Preferences 10%
  • Resources 6%

• Auction-Based Learning for Question Answering over Knowledge Graphs

  Agrawal, G., Bertsekas, D. & Liu, H., Jun 2023, In: Information (Switzerland). 14, 6, 336.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Directed graphs 100%
  • Data structures 70%
  • Experiments 30%
  2 Scopus citations

• B-AWARE: Blockage Aware RSU Scheduling for 5G Enabled Autonomous Vehicles

  Szeto, M., Andert, E., Shrivastava, A., Reisslein, M., Lin, C. W. & Richmond, C., Sep 9 2023, In: ACM Transactions on Embedded Computing Systems. 22, 5 s, 154.

  Research output: Contribution to journal › Article › peer-review

  • Roadsides 100%
  • Autonomous vehicles 86%
  • Scheduling 55%
  • Millimeter waves 32%
  • Digital twin 23%

• Causal Disentanglement for Implicit Recommendations with Network Information

  Sheth, P., Guo, R., Cheng, L., Liu, H. & Candan, K. S., Apr 6 2023, In: ACM Transactions on Knowledge Discovery from Data. 17, 7, 94.

  Research output: Contribution to journal › Article › peer-review

  • Recommender systems 100%
  • Network theory (graphs) 24%
  • Amplification 20%
  • Machine learning 14%
  • Feedback 12%
  3 Scopus citations

• CausalSE: Understanding Varied Spatial Effects with Missing Data Toward Adding New Bike-sharing Stations

  Wang, Q., Guo, B., Cheng, L., Yu, Z. & Liu, H., Mar 20 2023, In: ACM Transactions on Knowledge Discovery from Data. 17, 2, 61872032.

  Research output: Contribution to journal › Article › peer-review

  • Decision making 100%
  • Industry 60%
  2 Scopus citations

• Challenges in cybersecurity: Lessons from biological defense systems

  Schrom, E., Kinzig, A., Forrest, S., Graham, A. L., Levin, S. A., Bergstrom, C. T., Castillo-Chavez, C., Collins, J. P., de Boer, R. J., Doupé, A., Ensafi, R., Feldman, S., Grenfell, B. T., Halderman, J. A., Huijben, S., Maley, C., Moses, M., Perelson, A. S., Perrings, C., Plotkin, J., & 2 othersRexford, J. & Tiwari, M., Aug 2023, In: Mathematical Biosciences. 362, 109024.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Computer Security 100%
  • Immunity 86%
  • Attack 72%
  • Security of data 67%
  • immunity 63%

• Contrastive Meta-Learning for Few-shot Node Classification

  Wang, S., Tan, Z., Liu, H. & Li, J., Aug 6 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2386-2397 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Labels 100%
  • Experiments 20%
  1 Scopus citations

• Efficient and Secure Federated Learning with Verifiable Weighted Average Aggregation

  Yang, Z., Zhou, M., Yu, H., Sinnott, R. O. & Liu, H., Jan 1 2023, In: IEEE Transactions on Network Science and Engineering. 10, 1, p. 205-222 18 p.

  Research output: Contribution to journal › Article › peer-review

  • Agglomeration 100%
  • Servers 31%
  • Learning systems 14%
  • Experiments 5%
  4 Scopus citations

• Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning

  Ding, K., Wang, Y., Yang, Y. & Liu, H., Jun 27 2023, AAAI-23 Technical Tracks 6. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI press, p. 7378-7386 9 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Semantics 100%
  • Neural networks 88%
  • Learning algorithms 40%
  • Experiments 17%
  7 Scopus citations

• Fast Secure Aggregation with High Dropout Resilience for Federated Learning

  Yang, S., Chen, Y., Yang, Z., Li, B. & Liu, H., Sep 1 2023, In: IEEE Transactions on Green Communications and Networking. 7, 3, p. 1501-1514 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Agglomeration 100%
  • Communication 34%
  • Network protocols 31%
  • Smartphones 21%
  • Mobile computing 19%

• Generative Adversarial Network (GAN)-Based Autonomous Penetration Testing for Web Applications

  Chowdhary, A., Jha, K. & Zhao, M., Sep 2023, In: Sensors. 23, 18, 8014.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • attack 100%
  • Internet of Things 94%
  • Vanilla 90%
  • penetration 86%
  • Semantics 55%
  1 Scopus citations

• HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer

  Ding, K., Chen, T., Chi, E. H., Liang, A. J., Wang, R., Liu, H., Perrozi, B., Hong, L. & Cheng, D. Z., Jul 19 2023, SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 2062-2066 5 p. (SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Message passing 100%
  • Information retrieval 90%
  • Deep learning 83%
  • Experiments 33%
  1 Scopus citations

• Learning Strong Graph Neural Networks with Weak Information

  Liu, Y., Ding, K., Wang, J., Lee, V., Liu, H. & Pan, S., Aug 6 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1559-1571 13 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Neural networks 100%
  • Labels 35%
  • Semantics 28%
  • Experiments 14%
  6 Scopus citations

• RetSpill: Igniting User-Controlled Data to Burn Away Linux Kernel Protections

  Zeng, K., Lin, Z., Lu, K., Xing, X., Wang, R., Doupé, A., Shoshitaishvili, Y. & Bao, T., Nov 15 2023, CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, Inc, p. 3093-3107 15 p. (CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Linux 100%
  • Flow control 92%
  • Regain 43%
  • Hazardous materials spills 40%
  • Switches 23%

• Socially responsible Ai: Theories and practices

  Cheng, L. & Liu, H., Feb 13 2023, World Scientific Publishing Co. Pte Ltd. 179 p.

  Research output: Book/Report › Book

  • artificial intelligence 100%
  • Artificial intelligence 87%
  • regulation 8%
  • oppression 7%
  • Students 5%
  2 Scopus citations

• Socially Responsible Machine Learning: A Causal Perspective

  Moraffah, R., Karimi, A. H., Raglin, A. & Liu, H., Aug 6 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 5819-5820 2 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Machine learning 100%
  • Learning algorithms 28%
  • Social sciences 21%
  • Taxonomies 17%
  • Lenses 17%

• STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction

  Sheth, P., Mosallanezhad, A., Ding, K., Shah, R., Sabo, J., Liu, H. & Candan, K. S., Oct 21 2023, CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 4815-4821 7 p. (International Conference on Information and Knowledge Management, Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Watershed 100%
  • Reinforcement Learning 93%
  • Prediction 60%
  • Water Quality 57%
  • River Basin 54%

• Trust-aware planning: Modeling trust evolution in iterated human-robot interaction

  Zahedi, Z., Verma, M., Sreedharan, S. & Kambhampati, S., Mar 13 2023, HRI 2023 - Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction. IEEE Computer Society, p. 281-289 9 p. (ACM/IEEE International Conference on Human-Robot Interaction).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Human robot interaction 100%
  • Robots 55%
  • Planning 54%
  • Supervisory personnel 16%
  • Monitoring 8%
  4 Scopus citations

• Virtual Node Tuning for Few-shot Node Classification

  Tan, Z., Guo, R., Ding, K. & Liu, H., Aug 6 2023, KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2177-2188 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Labels 100%
  • Tuning 91%
  1 Scopus citations
• 2022

  Acquiring Mental Models for Explanations

  Sreedharan, S., Kulkarni, A. & Kambhampati, S., 2022, Synthesis Lectures on Artificial Intelligence and Machine Learning. Springer Nature, p. 81-94 14 p. (Synthesis Lectures on Artificial Intelligence and Machine Learning).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Robots 100%
  • Feedback 49%
  • Labeling 38%

• Applications

  Sreedharan, S., Kulkarni, A. & Kambhampati, S., 2022, Synthesis Lectures on Artificial Intelligence and Machine Learning. Springer Nature, p. 137-146 10 p. (Synthesis Lectures on Artificial Intelligence and Machine Learning).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Decision making 100%
  • Planning 87%
  • Industry 60%

• A Progressive Approximation Approach for the Exact Solution of Sparse Large-Scale Binary Interdiction Games

  Contardo, C. & Sefair, J. A., Mar 2022, In: INFORMS Journal on Computing. 34, 2, p. 890-908 19 p.

  Research output: Contribution to journal › Article › peer-review

  • Exact Solution 100%
  • Follower 71%
  • Approximation 66%
  • Mathematical programming 30%
  • Facility Location 30%
  2 Scopus citations

• Arbiter: Bridging the Static and Dynamic Divide in Vulnerability Discovery on Binary Programs

  Vadayath, J., Eckert, M., Zeng, K., Weideman, N., Menon, G. P., Fratantonio, Y., Balzarotti, D., Doupé, A., Bao, T., Wang, R., Hauser, C. & Shoshitaishvili, Y., 2022, Proceedings of the 31st USENIX Security Symposium, Security 2022. USENIX Association, p. 413-430 18 p. (Proceedings of the 31st USENIX Security Symposium, Security 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Scalability 100%
  • Binary codes 76%
  • Seed 64%
  • Defects 42%
  6 Scopus citations

• Balancing Communication and Behavior

  Sreedharan, S., Kulkarni, A. & Kambhampati, S., 2022, Synthesis Lectures on Artificial Intelligence and Machine Learning. Springer Nature, p. 95-105 11 p. (Synthesis Lectures on Artificial Intelligence and Machine Learning).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Robots 100%
  • Communication 78%

• Bias Mitigation for Toxicity Detection via Sequential Decisions

  Cheng, L., Mosallanezhad, A., Silva, Y. N., Hall, D. L. & Liu, H., Jul 6 2022, SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 1750-1760 11 p. (SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Toxicity 100%
  • Social sciences 35%
  • Markov processes 29%
  • Machine learning 20%
  • Decision making 20%
  5 Scopus citations

• Blockchain-Based Offline Auditing for the Cloud in Vehicular Networks

  Yu, H., Yang, Z., Tu, S., Waqas, M. & Liu, H., Sep 1 2022, In: IEEE Transactions on Network and Service Management. 19, 3, p. 2944-2956 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Blockchain 100%
  • Entertainment 23%
  • Explosions 20%
  • Application programs 19%
  • Data structures 17%
  5 Scopus citations

• BRIDGING THE GAP: PROVIDING POST-HOC SYMBOLIC EXPLANATIONS FOR SEQUENTIAL DECISION-MAKING PROBLEMS WITH INSCRUTABLE REPRESENTATIONS

  Sreedharan, S., Soni, U., Verma, M., Srivastava, S. & Kambhampati, S., 2022.

  Research output: Contribution to conference › Paper › peer-review

  • Decision making 100%
  • decision making 87%
  • Decision Making 79%
  • Contrastive Explanation 56%
  • artificial intelligence 55%
  6 Scopus citations

• Building Knowledge Graphs from Unstructured Texts: Applications and Impact Analyses in Cybersecurity Education

  Agrawal, G., Deng, Y., Park, J., Liu, H. & Chen, Y. C., Nov 2022, In: Information (Switzerland). 13, 11, 526.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Security of data 100%
  • Education 90%
  • Students 47%
  • Information retrieval 20%
  • Ontology 17%
  15 Scopus citations

• Causal Discovery for Feature Selection in Physical Process-Based Hydrological Systems

  Sheth, P., Liu, T., Doner, D., Deng, Q., Wei, Y., Muenich, R., Sabo, J., Candan, K. S. & Liu, H., 2022, Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Tsumoto, S., Ohsawa, Y., Chen, L., Van den Poel, D., Hu, X., Motomura, Y., Takagi, T., Wu, L., Xie, Y., Abe, A. & Raghavan, V. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 5568-5577 10 p. (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Feature Selection 100%
  • Physical process 77%
  • Water 61%
  • Assessment Tools 55%
  • Soil 55%
  1 Scopus citations

• Causal Disentanglement with Network Information for Debiased Recommendations

  Sheth, P., Guo, R., Ding, K., Cheng, L., Candan, K. S. & Liu, H., 2022, Similarity Search and Applications - 15th International Conference, SISAP 2022, Proceedings. Skopal, T., Lokoč, J., Falchi, F., Sapino, M. L., Bartolini, I. & Patella, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 265-273 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13590 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Recommendations 100%
  • Learning systems 94%
  • Lenses 94%
  • Recommender systems 93%
  • User Preferences 59%
  1 Scopus citations

• Causal mediation analysis with hidden confounders

  Cheng, L., Guo, R. & Liu, H., Feb 11 2022, WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 113-122 10 p. (WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Personnel 100%
  • Deep learning 58%
  4 Scopus citations

• Changing the nature of AI research

  Kambhampati, S., Aug 19 2022, In: Communications of the ACM. 65, 9, p. 8-9 2 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Communication 100%
  • Artificial intelligence 87%
  • Websites 85%
  2 Scopus citations

• Characterizing multi-domain false news and underlying user effects on Chinese Weibo

  Sheng, Q., Cao, J., Bernard, H. R., Shu, K., Li, J. & Liu, H., Jul 2022, In: Information Processing and Management. 59, 4, 102959.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Starters 100%
  • Health care 80%
  • Medicine 79%
  • News 66%
  • Display devices 60%
  10 Scopus citations

• Classifying COVID-19 Related Meta Ads Using Discourse Representation Through a Hypergraph

  Jeong, U., Alghamdi, Z., Ding, K., Cheng, L., Li, B. & Liu, H., 2022, Social, Cultural, and Behavioral Modeling - 15th International Conference, SBP-BRiMS 2022, Proceedings. Thomson, R., Dancy, C. & Pyke, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 35-45 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13558 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Discourse 100%
  • Hypergraph 71%
  • Health 27%
  • Experiment 13%
  • Interaction 13%
  1 Scopus citations

• Collaborative Filtering with Network Representation Learning for Citation Recommendation

  Wang, W., Tang, T., Xia, F., Gong, Z., Chen, Z. & Liu, H., Oct 1 2022, In: IEEE Transactions on Big Data.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Collaborative Filtering 100%
  • Collaborative filtering 78%
  • Citations 69%
  • Network Topology 29%
  • Topology 23%
  16 Scopus citations

• Conclusion

  Sreedharan, S., Kulkarni, A. & Kambhampati, S., 2022, Synthesis Lectures on Artificial Intelligence and Machine Learning. Springer Nature, p. 147-150 4 p. (Synthesis Lectures on Artificial Intelligence and Machine Learning).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Robots 100%
  • Decision making 16%

• Context-Auditor: Context-sensitive Content Injection Mitigation

  Kalantari, F., Zaeifi, M., Bao, T., Wang, R., Shoshitaishvili, Y. & Doupé, A., Oct 26 2022, Proceedings of 25th International Symposium on Researchin Attacks, Intrusions and Defenses, RAID 2022. Association for Computing Machinery, p. 431-445 15 p. (ACM International Conference Proceeding Series).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • HTML 100%
  • Servers 59%
  • Switches 59%
  • Throughput 57%
  • Engines 52%
  1 Scopus citations

• CrawlPhish: Large-Scale Analysis of Client-Side Cloaking Techniques in Phishing

  Zhang, P., Oest, A., Cho, H., Sun, Z., Johnson, R. C., Wardman, B., Sarker, S., Kapravelos, A., Bao, T., Wang, R., Shoshitaishvili, Y., Doupe, A. & Ahn, G. J., 2022, In: IEEE Security and Privacy. 20, 2, p. 10-21 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Websites 100%
  • website 94%
  • Internet 39%
  • threat 38%
  1 Scopus citations

• Cross-Domain Graph Anomaly Detection

  Ding, K., Shu, K., Shan, X., Li, J. & Liu, H., Jun 1 2022, In: IEEE Transactions on Neural Networks and Learning Systems. 33, 6, p. 2406-2415 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Computer Security 100%
  • Anomaly detection 74%
  • Datasets 56%
  • Costs and Cost Analysis 44%
  • Delivery of Health Care 43%
  9 Scopus citations

• Debiasing Word Embeddings with Nonlinear Geometry

  Cheng, L., Kim, N. & Liu, H., 2022, In: Proceedings - International Conference on Computational Linguistics, COLING. 29, 1, p. 1286-1298 13 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Social sciences 100%
  • Linguistics 75%
  • Geometry 48%
  • Intersect 25%
  • Subspace 18%
  5 Scopus citations

• Deep Graph Learning for Anomalous Citation Detection

  Liu, J., Xia, F., Feng, X., Ren, J. & Liu, H., Jun 1 2022, In: IEEE Transactions on Neural Networks and Learning Systems. 33, 6, p. 2543-2557 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Anomaly detection 75%
  • Learning 53%
  • Fintech 16%
  • Data Mining 14%
  • Economic Inflation 13%
  17 Scopus citations

• Distributional Shift Adaptation using Domain-Specific Features

  Tahir, A., Cheng, L., Guo, R. & Liu, H., 2022, Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022. Tsumoto, S., Ohsawa, Y., Chen, L., Van den Poel, D., Hu, X., Motomura, Y., Takagi, T., Wu, L., Xie, Y., Abe, A. & Raghavan, V. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 5593-5597 5 p. (Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Target 100%
  • Invariant 86%
  • Streaming 52%
  • Training Samples 52%
  • Machine Learning 51%
  2 Scopus citations

• Domain Adaptive Fake News Detection via Reinforcement Learning

  Mosallanezhad, A., Karami, M., Shu, K., Mancenido, M. V. & Liu, H., Apr 25 2022, WWW 2022 - Proceedings of the ACM Web Conference 2022. Association for Computing Machinery, Inc, p. 3632-3640 9 p. (WWW 2022 - Proceedings of the ACM Web Conference 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Reinforcement learning 100%
  • Labeled data 39%
  • Costs 12%
  • Experiments 11%
  27 Scopus citations

• Estimating causal effects of multi-aspect online reviews with multi-modal proxies

  Cheng, L., Guo, R. & Liu, H., Feb 11 2022, WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 103-112 10 p. (WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Industry 100%
  • Feedback 36%
  1 Scopus citations

• Evaluation Methods and Measures for Causal Learning Algorithms

  Cheng, L., Guo, R., Moraffah, R., Sheth, P., Candan, K. S. & Liu, H., Dec 1 2022, In: IEEE Transactions on Artificial Intelligence. 3, 6, p. 924-943 20 p.

  Research output: Contribution to journal › Article › peer-review

  • Learning algorithms 100%
  • Machine learning 88%
  • Big data 43%
  • Artificial intelligence 42%
  • Benchmarking 25%
  14 Scopus citations

• EXPERTISE: An Effective Software-level Redundant Multithreading Scheme against Hardware Faults

  So, H., Didehban, M., Ko, Y., Shrivastava, A. & Lee, K., Sep 16 2022, In: ACM Transactions on Architecture and Code Optimization. 19, 4, 3546073.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Computer hardware 100%
  • Data storage equipment 41%
  • Microprocessor chips 30%
  • Experiments 12%

• Explainable Human–AI Interaction A Planning Perspective

  Sreedharan, S., Kulkarni, A. & Kambhampati, S., 2022, Synthesis Lectures on Artificial Intelligence and Machine Learning. Springer Nature, p. 1-158 158 p. (Synthesis Lectures on Artificial Intelligence and Machine Learning).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Explaining in the Presence of Vocabulary Mismatch

  Sreedharan, S., Kulkarni, A. & Kambhampati, S., 2022, Synthesis Lectures on Artificial Intelligence and Machine Learning. Springer Nature, p. 107-119 13 p. (Synthesis Lectures on Artificial Intelligence and Machine Learning).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Robots 100%
  • Classifiers 73%

• Explanation as Model Reconciliation

  Sreedharan, S., Kulkarni, A. & Kambhampati, S., 2022, Synthesis Lectures on Artificial Intelligence and Machine Learning. Springer Nature, p. 59-80 22 p. (Synthesis Lectures on Artificial Intelligence and Machine Learning).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  • Robots 100%
  • Communication 15%