Chenguang Zhu

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

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Bibliography

2023
CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation.
CoRR, 2023

Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization.
CoRR, 2023

Fine-Tuning Language Models with Advantage-Induced Policy Alignment.
CoRR, 2023

i-Code Studio: A Configurable and Composable Framework for Integrative AI.
CoRR, 2023

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data.
CoRR, 2023

Small Models are Valuable Plug-ins for Large Language Models.
CoRR, 2023

Any-to-Any Generation via Composable Diffusion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sparse Modular Activation for Efficient Sequence Modeling.
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.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Global Selection of Contrastive Batches via Optimization on Sample Permutations.
Proceedings of the International Conference on Machine Learning, 2023

The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Code Property Graph based Vulnerability Type Identification with Fusion Representation.
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.
CoRR, 2022

BERT-Based Vulnerability Type Identification with Effective Program Representation.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

BHMVD: Binary Code-based Hybrid Neural Network for Multiclass Vulnerability Detection.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

Towards a Unified Multi-Dimensional Evaluator for Text Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Leveraging Locality in Abstractive Text Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Inductive Vulnerability Detection via Gated Graph Neural Network.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Summ$^N$: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching.
CoRR, 2021

Self-Attention based Automated Vulnerability Detection with Effective Data Representation.
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.
Proceedings of the 9th International Conference on Learning Representations, 2021

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Filtered Inner Product Projection for Multilingual Embedding Alignment.
CoRR, 2020

Boosting Naturalness of Language in Task-oriented Dialogues via Adversarial Training.
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.
Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Parameter-free Sentence Embedding via Orthogonal Basis.
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.
CoRR, 2018

Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Scientific Question Answering.
CoRR, 2018

FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension.
Proceedings of the 6th International Conference on Learning Representations, 2018

2010
Co-optimization of multiple relevance metrics in web search.
Proceedings of the 19th International Conference on World Wide Web, 2010

A novel click model and its applications to online advertising.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

2009
THU-IMG at TRECVID 2009.
Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009

Inverse Time Dependency in Convex Regularized Learning.
Proceedings of the ICDM 2009, 2009

P-packSVM: Parallel Primal grAdient desCent Kernel SVM.
Proceedings of the ICDM 2009, 2009

A general magnitude-preserving boosting algorithm for search ranking.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

To divide and conquer search ranking by learning query difficulty.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008


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