OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?
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CoRR, January, 2025
CLFuzz: Vulnerability Detection of Cryptographic Algorithm Implementation via Semantic-aware Fuzzing.
ACM Trans. Softw. Eng. Methodol., February, 2024
Bi-Objective Incentive Mechanism for Mobile Crowdsensing With Budget/Cost Constraint.
IEEE Trans. Mob. Comput., January, 2024
A Privacy-Preserving Incentive Mechanism for Mobile Crowdsensing Based on Blockchain.
IEEE Trans. Dependable Secur. Comput., 2024
Chronos: Finding Timeout Bugs in Practical Distributed Systems by Deep-Priority Fuzzing with Transient Delay.
Proceedings of the IEEE Symposium on Security and Privacy, 2024
ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Stop Pulling my Rug: Exposing Rug Pull Risks in Crypto Token to Investors.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024
Learning to Perturb for Contrastive Learning of Unsupervised Sentence Representations.
IEEE ACM Trans. Audio Speech Lang. Process., 2023
Tyr: Finding Consensus Failure Bugs in Blockchain System with Behaviour Divergent Model.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023
LOKI: State-Aware Fuzzing Framework for the Implementation of Blockchain Consensus Protocols.
Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving.
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Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Phoenix: Detect and Locate Resilience Issues in Blockchain via Context-Sensitive Chaos.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System.
CoRR, 2022
C²-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Incentive Mechanisms for Large-Scale Crowdsourcing Task Diffusion Based on Social Influence.
IEEE Trans. Veh. Technol., 2021
Biobjective Robust Incentive Mechanism Design for Mobile Crowdsensing.
IEEE Internet Things J., 2021
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Towards Topic-Guided Conversational Recommender System.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
A Nine Months Follow-up Study of Hemodynamic Effect on Bioabsorbable Coronary Stent Implantation.
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IEEE Access, 2019