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Chenguang Zhu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Chenguang Zhu 001 (Microsoft Research, Redmond, WA, USA)
Chenguang Zhu 002 (University of Texas at Austin, Department of Electrical and Computer Engineering, TX, USA)

Bibliography

2024

Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following.

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Karishma Mandyam

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Karthik Abinav Sankararaman

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Eryk Helenowski

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Melanie Kambadur

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CoRR, 2024

Why mamba is effective? Exploit Linear Transformer-Mamba Network for Multi-Modality Image Fusion.

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CoRR, 2024

Vulnerability Localization Based On Intermediate Code Representation and Feature Fusion.

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Comput. J., 2024

CDNM: Clustering-Based Data Normalization Method For Automated Vulnerability Detection.

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Comput. J., 2024

Access Mechanisms in Air-to-Ground Wireless Networks with Phased Array Antennas.

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Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Soft convex quantization: revisiting Vector Quantization with convex optimization.

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Somayeh Sojoudi

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

P2P: Transforming from Point Supervision to Explicit Visual Prompt for Object Detection and Segmentation.

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Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

CPMSVD: Cross-Project Multiclass Software Vulnerability Detection Via Fused Deep Feature and Domain Adaptation.

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Proceedings of the IEEE International Conference on Acoustics, 2024

WPO: Enhancing RLHF with Weighted Preference Optimization.

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Sathish Reddy Indurthi

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Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets.

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Sathish Reddy Indurthi

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Shamil Chollampatt

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation.

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Mahmoud Khademi

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Fine-Tuning Language Models with Advantage-Induced Policy Alignment.

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Felipe Vieira Frujeri

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Michael I. Jordan

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CoRR, 2023

Sparse Modular Activation for Efficient Sequence Modeling.

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ChengXiang Zhai

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Identify Vulnerability Types: A Cross-Project Multiclass Vulnerability Classification System Based on Deep Domain Adaptation.

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Proceedings of the Neural Information Processing - 30th International Conference, 2023

Global Selection of Contrastive Batches via Optimization on Sample Permutations.

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Vin Sachidananda

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Proceedings of the International Conference on Machine Learning, 2023

G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment.

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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MM-Reasoner: A Multi-Modal Knowledge-Aware Framework for Knowledge-Based Visual Question Answering.

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[DOI]

Mahmoud Khademi

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Code Property Graph based Vulnerability Type Identification with Fusion Representation.

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Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022

Tail Batch Sampling: Approximating Global Contrastive Losses as Optimization over Batch Assignments.

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[DOI]

Vin Sachidananda

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CoRR, 2022

BERT-Based Vulnerability Type Identification with Effective Program Representation.

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Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

BHMVD: Binary Code-based Hybrid Neural Network for Multiclass Vulnerability Detection.

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Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

Inductive Vulnerability Detection via Gated Graph Neural Network.

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Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

2021

Self-Attention based Automated Vulnerability Detection with Effective Data Representation.

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Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Filtered Inner Product Projection for Crosslingual Embedding Alignment.

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[DOI]

Vin Sachidananda

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Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Filtered Inner Product Projection for Multilingual Embedding Alignment.

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[DOI]

Vin Sachidananda

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CoRR, 2020

Boosting Naturalness of Language in Task-oriented Dialogues via Adversarial Training.

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Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020

2019

Secure MISO Beamforming Optimization with Randomly Distributed Eavesdroppers and Interferers.

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Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

Parameter-free Sentence Embedding via Orthogonal Basis.

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Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Zero-training Sentence Embedding via Orthogonal Basis.

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CoRR, 2018

FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension.

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Hsin-Yuan Huang

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Proceedings of the 6th International Conference on Learning Representations, 2018

2010

Co-optimization of multiple relevance metrics in web search.

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Proceedings of the 19th International Conference on World Wide Web, 2010

A novel click model and its applications to online advertising.

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Zeyuan Allen Zhu

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Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

2009

THU-IMG at TRECVID 2009.

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Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009

Inverse Time Dependency in Convex Regularized Learning.

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Zeyuan Allen Zhu

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Proceedings of the ICDM 2009, 2009

P-packSVM: Parallel Primal grAdient desCent Kernel SVM.

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Zeyuan Allen Zhu

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Proceedings of the ICDM 2009, 2009

A general magnitude-preserving boosting algorithm for search ranking.

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Zeyuan Allen Zhu

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Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

To divide and conquer search ranking by learning query difficulty.

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Zeyuan Allen Zhu

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Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

THU and ICRC at TRECVID 2008.

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Proceedings of the TRECVID 2008 workshop participants notebook papers, 2008

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