Xiao Wang

Affiliations:
  • Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
  • National Engineering Laboratory for Information Security Technologies, China


According to our database1, Xiao Wang authored at least 43 papers between 2011 and 2024.

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Bibliography

2024
Cross-Modal Contrastive Learning Network for Few-Shot Action Recognition.
IEEE Trans. Image Process., 2024

Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision.
CoRR, 2024

EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models.
CoRR, 2024

CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models.
CoRR, 2024

StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback.
CoRR, 2024

Secrets of RLHF in Large Language Models Part II: Reward Modeling.
CoRR, 2024

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Multi-Blockchain Based Data Trading Markets With Novel Pricing Mechanisms.
IEEE CAA J. Autom. Sinica, December, 2023

Task-Aware Dual-Representation Network for Few-Shot Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., October, 2023

LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment.
CoRR, 2023

Improving Generalization of Alignment with Human Preferences through Group Invariant Learning.
CoRR, 2023

TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models.
CoRR, 2023

The Rise and Potential of Large Language Model Based Agents: A Survey.
CoRR, 2023

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition.
CoRR, 2023

Orthogonal Subspace Learning for Language Model Continual Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
FastVOD-Net: A Real-Time and High-Accuracy Video Object Detector.
IEEE Trans. Intell. Transp. Syst., 2022

Visual Tempo Contrastive Learning for Few-Shot Action Recognition.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

MDNet: Motion Distinction Network for Effective Action Recognition.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Egnet: A Novel Edge Guided Network for Instance Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Embedding Adaptation Network with Transformer for Few-Shot Action Recognition.
Proceedings of the Asian Conference on Machine Learning, 2022

MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
CoRR, 2021

Semantic-Guided Relation Propagation Network for Few-shot Action Recognition.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Temporal Relation based Attentive Prototype Network for Few-shot Action Recognition.
Proceedings of the Asian Conference on Machine Learning, 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
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

2017
Parallel intermodal road-rail transportation system based on acp approach.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016
A Fast Algorithm for Competitive Recommendation Marketing Strategy.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

2015
A Fast Climbing Approach for Diffusion Source Inference in Large Social Networks.
Proceedings of the Data Science - Second International Conference, 2015

2014
Towards Improving Service Accessibility by Adaptive Resource Distribution Strategy.
Proceedings of the International Conference on Security and Privacy in Communication Networks, 2014

Topic Block: Mining User Inner Interests for Text and Link Analysis in Social Networks.
Proceedings of the 15th International Conference on Parallel and Distributed Computing, 2014

A Moving Target Framework to Improve Network Service Accessibility.
Proceedings of the 9th IEEE International Conference on Networking, 2014

2013
IX-Level Adversaries on Entry- and Exit-Transmission Paths in Tor Network.
Proceedings of the IEEE Eighth International Conference on Networking, 2013

Detecting Sybil Nodes in Anonymous Communication Systems.
Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

Towards Analyzing and Improving Service Accessibility under Resource Enumeration Attack.
Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

An empirical analysis of family in the Tor network.
Proceedings of IEEE International Conference on Communications, 2013

2012
Towards Analyzing Traceability of Data Leakage by Malicious Insiders.
Proceedings of the Trustworthy Computing and Services - International Conference, ISCTCS 2012, Beijing, China, May 28, 2012

2011
A Covert Communication Method Based on User-Generated Content Sites.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011


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