Chaochao Chen
Orcid: 0000-0003-1419-964XAffiliations:
- Zhejiang University, Hangzhou, China
- Ant Financial Services Group, Hangzhou, China (former)
- Macquarie University, Sydney, NSW, Australia (former)
- Zhejiang University, Hangzhou, China (PhD 2016)
According to our database1,
Chaochao Chen authored at least 211 papers
between 2013 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
CoRR, May, 2026
Beyond Binary Edits Robust Multimodal Knowledge Editing with Adversarial Subspace Alignment.
CoRR, May, 2026
Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems.
CoRR, March, 2026
SimCDR: Preserving Intra-Domain Similarities of Users for Cross-Domain Recommendation.
ACM Trans. Inf. Syst., February, 2026
A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions.
IEEE Trans. Knowl. Data Eng., February, 2026
IEEE Trans. Knowl. Data Eng., January, 2026
Generalizable Multimodal Large Language Model Editing via Invariant Trajectory Learning.
CoRR, January, 2026
KinGuard: Hierarchical Kinship-Aware Fingerprinting to Defend Against Large Language Model Stealing.
CoRR, January, 2026
CoRR, January, 2026
LLM-enhanced Federated Graph Learning with Geometry-aware Graph Projection and Shared Subspace Aggregation.
Proceedings of the ACM Web Conference 2026, 2026
Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems.
Proceedings of the ACM Web Conference 2026, 2026
Sharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation.
Proceedings of the ACM Web Conference 2026, 2026
STG-DGR: Fraud Detection on Streaming Transaction Graphs with Diffusion-based Generative Replay.
Proceedings of the ACM Web Conference 2026, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Recommendations for Inactive Users: a Cross Domain Approach with Graph Neural Networks.
Int. J. Mach. Learn. Cybern., December, 2025
DuAda: Adaptive Targeted Model Poisoning Attack Framework via Dummy User Simulation on Federated Recommendation.
ACM Trans. Inf. Syst., November, 2025
Structure-Preserving Counterfactual Regression for Personalized Consumer-Electronics Service Networks.
IEEE Trans. Consumer Electron., November, 2025
UFO: Unfair-to-Fair Evolving Mitigates Unfairness in LLM-based Recommender Systems via Self-Play Fine-tuning.
CoRR, November, 2025
Potent but Stealthy: Rethink Profile Pollution against Sequential Recommendation via Bi-level Constrained Reinforcement Paradigm.
CoRR, November, 2025
A Remarkably Efficient Paradigm to Multimodal Large Language Models for Sequential Recommendation.
CoRR, November, 2025
Unified Heterogeneous Hypergraph Construction for Incomplete Multimedia Recommendation.
ACM Trans. Inf. Syst., September, 2025
Int. J. Mach. Learn. Cybern., September, 2025
CoRR, August, 2025
A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction.
CoRR, July, 2025
BiFair: A Fairness-aware Training Framework for LLM-enhanced Recommender Systems via Bi-level Optimization.
CoRR, July, 2025
IEEE Trans. Knowl. Data Eng., June, 2025
A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures.
CoRR, June, 2025
RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems.
CoRR, April, 2025
Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation.
CoRR, April, 2025
CoRR, April, 2025
A Neuro-inspired Interpretation of Unlearning in Large Language Models through Sample-level Unlearning Difficulty.
CoRR, April, 2025
Reproducibility Companion Paper:In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems.
CoRR, March, 2025
Reproducibility Companion Paper: Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems.
CoRR, March, 2025
ACM Trans. Inf. Syst., January, 2025
Contrastive Hypergraph Flows With Multifaceted Gates for Cross-Domain Sequential Recommendation.
IEEE Trans. Serv. Comput., 2025
Multi-Objective Unlearning in Recommender Systems via Preference Guided Pareto Exploration.
IEEE Trans. Serv. Comput., 2025
IEEE Trans. Serv. Comput., 2025
Class-wise federated unlearning: Harnessing active forgetting with teacher-student memory generation.
Knowl. Based Syst., 2025
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback.
J. Mach. Learn. Res., 2025
Proceedings of the ACM on Web Conference 2025, 2025
Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation.
Proceedings of the ACM on Web Conference 2025, 2025
FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025
Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
LEGO: A Lightweight and Efficient Multiple-Attribute Unlearning Framework for Recommender Systems.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Tackling Federated Long-Tailed Learning via Synthetic Feature-Based Decoupled Training.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
Modality-Aware Diffusion Augmentation with Consistent Subspace Disentanglement for Session-based Recommendation.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Controllable Unlearning for Image-to-Image Generative Models via ϵ-Constrained Optimization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Personalized Federated Recommendation with Multi-Faceted User Representation and Global Consistent Prototype.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation.
IEEE Trans. Knowl. Data Eng., December, 2024
Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications.
Int. J. Mach. Learn. Cybern., August, 2024
ACM Trans. Web, May, 2024
Making recommender systems forget: Learning and unlearning for erasable recommendation.
Knowl. Based Syst., January, 2024
Controllable Unlearning for Image-to-Image Generative Models via ε-Constrained Optimization.
CoRR, 2024
CoRR, 2024
User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024
Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Enhancing Attributed Graph Networks with Alignment and Uniformity Constraints for Session-based Recommendation.
Proceedings of the IEEE International Conference on Web Services, 2024
One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Selective and collaborative influence function for efficient recommendation unlearning.
Expert Syst. Appl., December, 2023
Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng., November, 2023
IEEE Trans. Knowl. Data Eng., August, 2023
Expert Syst. Appl., August, 2023
IEEE Trans. Knowl. Data Eng., 2023
IEEE Trans. Dependable Secur. Comput., 2023
cuZK: Accelerating Zero-Knowledge Proof with A Faster Parallel Multi-Scalar Multiplication Algorithm on GPUs.
IACR Trans. Cryptogr. Hardw. Embed. Syst., 2023
CoRR, 2023
Selective and Collaborative Influence Function for Efficient Recommendation Unlearning.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation.
Proceedings of the ACM Web Conference 2023, 2023
Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation.
Proceedings of the ACM Web Conference 2023, 2023
Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation.
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the IEEE International Conference on Web Services, 2023
Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks.
Proceedings of the IEEE International Conference on Web Services, 2023
Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression.
Proceedings of the IEEE International Conference on Data Mining, 2023
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
FedPSE: Personalized Sparsification with Element-wise Aggregation for Federated Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design.
ACM Trans. Intell. Syst. Technol., 2022
Towards secure and practical machine learning via secret sharing and random permutation.
Knowl. Based Syst., 2022
Frontiers Inf. Technol. Electron. Eng., 2022
cuZK: Accelerating Zero-Knowledge Proof with A Faster Parallel Multi-Scalar Multiplication Algorithm on GPUs.
IACR Cryptol. ePrint Arch., 2022
Expert Syst. Appl., 2022
CoRR, 2022
Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection.
CoRR, 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.
CoRR, 2022
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation.
CoRR, 2022
Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation.
CoRR, 2022
Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the IEEE Smartworld, 2022
MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
A Distributed Privacy-Preserving Framework for Deep Learning with Edge-Cloud Computing.
Proceedings of the 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2022
HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Peer-to-Peer Netw. Appl., 2021
Int. J. Pattern Recognit. Artif. Intell., 2021
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback.
CoRR, 2021
Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis.
CoRR, 2021
Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation.
CoRR, 2021
Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
ACM Trans. Intell. Syst. Technol., 2020
IACR Cryptol. ePrint Arch., 2020
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design.
CoRR, 2020
CoRR, 2020
Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications.
CoRR, 2020
When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control.
CoRR, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud.
ACM Trans. Intell. Syst. Technol., 2019
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model.
ACM Trans. Knowl. Discov. Data, 2018
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud.
CoRR, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Database Systems for Advanced Applications, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Knowl. Based Syst., 2017
KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Sparse Overlap Cross-Platform Recommendation Via Adaptive Similarity Structure Regularization.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
Int. J. Web Serv. Res., 2016
Electron. Commer. Res. Appl., 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
IEEE Trans. Learn. Technol., 2015
Efficient learning ensemble SuperParent-one-dependence estimator by maximizing conditional log likelihood.
Expert Syst. Appl., 2015
2014
Proceedings of the 11th IEEE International Conference on e-Business Engineering, 2014
Context-Aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Proceedings of the Web Information Systems Engineering - WISE 2013 Workshops, 2013
Proceedings of the IEEE 10th International Conference on e-Business Engineering, 2013