Chenguang Zhu

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 135

Top Venues

Publications

Gewangzi Du, Liwei Chen, Tongshuai Wu, Chenguang Zhu, Gang Shi
CPMSVD: Cross-Project Multiclass Software Vulnerability Detection Via Fused Deep Feature and Domain Adaptation. ICASSP (2024)
Tongshuai Wu, Liwei Chen, Gewangzi Du, Chenguang Zhu, Ningning Cui, Gang Shi
CDNM: Clustering-Based Data Normalization Method For Automated Vulnerability Detection. Comput. J. 67 (4) (2024)
Tanmay Gautam, Reid Pryzant, Ziyi Yang, Chenguang Zhu, Somayeh Sojoudi
Soft convex quantization: revisiting Vector Quantization with convex optimization. L4DC (2024)
Sathish Reddy Indurthi, Wenxuan Zhou, Shamil Chollampatt, Ravi Agrawal, Kaiqiang Song, Lingxiao Zhao, Chenguang Zhu
Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets. CoRR (2024)
Wenxuan Zhou, Ravi Agrawal, Shujian Zhang, Sathish Reddy Indurthi, Sanqiang Zhao, Kaiqiang Song, Silei Xu, Chenguang Zhu
WPO: Enhancing RLHF with Weighted Preference Optimization. CoRR (2024)
Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. ACL (1) (2023)
Xiufeng Xu, Chenguang Zhu, Yi Li
CompSuite: A Dataset of Java Library Upgrade Incompatibility Issues. CoRR (2023)
Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Pengcheng He, Chenguang Zhu, Michael Zeng
LMGQS: A Large-scale Dataset for Query-focused Summarization. EMNLP (Findings) (2023)
Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. CoRR (2023)
Pengcheng He, Baolin Peng, Song Wang, Yang Liu, Ruochen Xu, Hany Hassan, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang
Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. ACL (1) (2023)
Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. EMNLP (Findings) (2023)
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment. CoRR (2023)
Yang Liu, Dan Iter, Yichong Xu, Shuohang Wang, Ruochen Xu, Chenguang Zhu
G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment. EMNLP (2023)
Gewangzi Du, Liwei Chen, Tongshuai Wu, Chenguang Zhu, Gang Shi
Identify Vulnerability Types: A Cross-Project Multiclass Vulnerability Classification System Based on Deep Domain Adaptation. ICONIP (6) (2023)
Banghua Zhu, Hiteshi Sharma, Felipe Vieira Frujeri, Shi Dong, Chenguang Zhu, Michael I. Jordan, Jiantao Jiao
Fine-Tuning Language Models with Advantage-Induced Policy Alignment. CoRR (2023)
Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. EMNLP (Findings) (2023)
Ruochen Xu, Song Wang, Yang Liu, Shuohang Wang, Yichong Xu, Dan Iter, Chenguang Zhu, Michael Zeng
LMGQS: A Large-scale Dataset for Query-focused Summarization. CoRR (2023)
Mahmoud Khademi, Ziyi Yang, Felipe Frujeri, Chenguang Zhu
MM-Reasoner: A Multi-Modal Knowledge-Aware Framework for Knowledge-Based Visual Question Answering. EMNLP (Findings) (2023)
Chenguang Zhu, Tongshuai Wu, Ningning Cui, Xiong Zheng, Liwei Chen, Gang Shi
Code Property Graph based Vulnerability Type Identification with Fusion Representation. CSCWD (2023)
Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. EMNLP (2023)
Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, Michael Zeng
Automatic Prompt Optimization with "Gradient Descent" and Beam Search. CoRR (2023)
Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian McAuley
Small Models are Valuable Plug-ins for Large Language Models. CoRR (2023)
Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal
Any-to-Any Generation via Composable Diffusion. NeurIPS (2023)
Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, ChengXiang Zhai
Sparse Modular Activation for Efficient Sequence Modeling. CoRR (2023)
Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal
Unifying Vision, Text, and Layout for Universal Document Processing. CVPR (2023)
Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. CoRR (2023)
Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu
In-Context Demonstration Selection with Cross Entropy Difference. CoRR (2023)
Dan Iter, Reid Pryzant, Ruochen Xu, Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu
In-Context Demonstration Selection with Cross Entropy Difference. EMNLP (Findings) (2023)
Simeng Sun, Yang Liu, Dan Iter, Chenguang Zhu, Mohit Iyyer
How Does In-Context Learning Help Prompt Tuning? CoRR (2023)
Liliang Ren, Yang Liu, Shuohang Wang, Yichong Xu, Chenguang Zhu, ChengXiang Zhai
Sparse Modular Activation for Efficient Sequence Modeling. NeurIPS (2023)
Ziyi Yang, Yuwei Fang, Chenguang Zhu, Reid Pryzant, Dongdong Chen, Yu Shi, Yichong Xu, Yao Qian, Mei Gao, Yi-Ling Chen, Liyang Lu, Yujia Xie, Robert Gmyr, Noel Codella, Naoyuki Kanda, Bin Xiao, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang
i-Code: An Integrative and Composable Multimodal Learning Framework. AAAI (2023)
Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal
Any-to-Any Generation via Composable Diffusion. CoRR (2023)
Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Mei Gao, Yi-Ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. CoRR (2023)
Vin Sachidananda, Ziyi Yang, Chenguang Zhu
Global Selection of Contrastive Batches via Optimization on Sample Permutations. ICML (2023)
Yichong Xu, Ruochen Xu, Dan Iter, Yang Liu, Shuohang Wang, Chenguang Zhu, Michael Zeng
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. CoRR (2023)
Yuwei Fang, Mahmoud Khademi, Chenguang Zhu, Ziyi Yang, Reid Pryzant, Yichong Xu, Yao Qian, Takuya Yoshioka, Lu Yuan, Michael Zeng, Xuedong Huang
i-Code Studio: A Configurable and Composable Framework for Integrative AI. CoRR (2023)
Zineng Tang, Ziyi Yang, Mahmoud Khademi, Yang Liu, Chenguang Zhu, Mohit Bansal
CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation. CoRR (2023)
Tanmay Gautam, Reid Pryzant, Ziyi Yang, Chenguang Zhu, Somayeh Sojoudi
Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization. CoRR (2023)
Zhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei, Xudong Lin, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Derek Hoiem, Shih-Fu Chang, Mohit Bansal, Heng Ji
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. CoRR (2022)
Tongshuai Wu, Liwei Chen, Gewangzi Du, Chenguang Zhu, Ningning Cui, Gang Shi
Inductive Vulnerability Detection via Gated Graph Neural Network. CSCWD (2022)
Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal
Unifying Vision, Text, and Layout for Universal Document Processing. CoRR (2022)
Vin Sachidananda, Ziyi Yang, Chenguang Zhu
Tail Batch Sampling: Approximating Global Contrastive Losses as Optimization over Batch Assignments. CoRR (2022)
Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev
Leveraging Locality in Abstractive Text Summarization. CoRR (2022)
Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han
Unsupervised Summarization with Customized Granularities. CoRR (2022)
Yixin Liu, Ansong Ni, Linyong Nan, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir Radev
Leveraging Locality in Abstractive Text Summarization. EMNLP (2022)
Yusen Zhang, Yang Liu, Ziyi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang
MACSum: Controllable Summarization with Mixed Attributes. CoRR (2022)
Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev
DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. ACL (1) (2022)
Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang
Summ$^N$: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents. ACL (1) (2022)
Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han
Towards a Unified Multi-Dimensional Evaluator for Text Generation. EMNLP (2022)
Chenguang Zhu, Gewangzi Du, Tongshuai Wu, Ningning Cui, Liwei Chen, Gang Shi
BERT-Based Vulnerability Type Identification with Effective Program Representation. WASA (1) (2022)
Ningning Cui, Liwei Chen, Gewangzi Du, Tongshuai Wu, Chenguang Zhu, Gang Shi
BHMVD: Binary Code-based Hybrid Neural Network for Multiclass Vulnerability Detection. ISPA/BDCloud/SocialCom/SustainCom (2022)
Ripon K. Saha, Akira Ura, Sonal Mahajan, Chenguang Zhu, Linyi Li, Yang Hu, Hiroaki Yoshida, Sarfraz Khurshid, Mukul R. Prasad
SapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions. CoRR (2022)
Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang
CLIP-Event: Connecting Text and Images with Event Structures. CoRR (2022)
Yulong Chen, Yang Liu, Li Dong, Shuohang Wang, Chenguang Zhu, Michael Zeng, Yue Zhang
AdaPrompt: Adaptive Model Training for Prompt-based NLP. CoRR (2022)
Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng, Yue Zhang
UniSumm: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning. CoRR (2022)
Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang
CLIP-Event: Connecting Text and Images with Event Structures. CVPR (2022)
Baolin Peng, Chunyuan Li, Zhu Zhang, Chenguang Zhu, Jinchao Li, Jianfeng Gao
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems. ACL/IJCNLP (1) (2021)
Yuwei Fang, Shuohang Wang, Yichong Xu, Ruochen Xu, Siqi Sun, Chenguang Zhu, Michael Zeng
Leveraging Knowledge in Multilingual Commonsense Reasoning. CoRR (2021)
Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev
DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. CoRR (2021)
Vin Sachidananda, Ziyi Yang, Chenguang Zhu
Filtered Inner Product Projection for Crosslingual Embedding Alignment. ICLR (2021)
Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
Want To Reduce Labeling Cost? GPT-3 Can Help. EMNLP (Findings) (2021)
Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. CoRR (2021)
Chenguang Zhu, Yang Liu, Jie Mei, Michael Zeng
MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization. NAACL-HLT (2021)
Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng
Retrieval Enhanced Model for Commonsense Generation. CoRR (2021)
Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir R. Radev
An Exploratory Study on Long Dialogue Summarization: What Works and What's Next. EMNLP (Findings) (2021)
Yang Liu, Chenguang Zhu, Michael Zeng
End-to-End Segmentation-based News Summarization. CoRR (2021)
Chenguang Zhu, Yang Liu, Jie Mei, Michael Zeng
MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization. CoRR (2021)
Yixin Nie, Linjie Li, Zhe Gan, Shuohang Wang, Chenguang Zhu, Michael Zeng, Zicheng Liu, Mohit Bansal, Lijuan Wang
MLP Architectures for Vision-and-Language Modeling: An Empirical Study. CoRR (2021)
Ruochen Xu, Yuwei Fang, Chenguang Zhu, Michael Zeng
Does Knowledge Help General NLU? An Empirical Study. CoRR (2021)
Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang
Enhancing Factual Consistency of Abstractive Summarization. NAACL-HLT (2021)
Zi-Yi Dou, Yichong Xu, Zhe Gan, Jianfeng Wang, Shuohang Wang, Lijuan Wang, Chenguang Zhu, Pengchuan Zhang, Lu Yuan, Nanyun Peng, Zicheng Liu, Michael Zeng
An Empirical Study of Training End-to-End Vision-and-Language Transformers. CoRR (2021)
Chenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng, Xuedong Huang
Leveraging Lead Bias for Zero-shot Abstractive News Summarization. SIGIR (2021)
Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng, Xuedong Huang
Fusing Context Into Knowledge Graph for Commonsense Question Answering. ACL/IJCNLP (Findings) (2021)
Baolin Peng, Chunyuan Li, Zhu Zhang, Jinchao Li, Chenguang Zhu, Jianfeng Gao
SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching. CoRR (2021)
Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir R. Radev
An Exploratory Study on Long Dialogue Summarization: What Works and What's Next. CoRR (2021)
Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang
Injecting Entity Types into Entity-Guided Text Generation. EMNLP (1) (2021)
Chenguang Zhu, Ripon K. Saha, Mukul R. Prasad, Sarfraz Khurshid
Restoring the Executability of Jupyter Notebooks by Automatic Upgrade of Deprecated APIs. ASE (2021)
Xiuheng Wu, Chenguang Zhu, Yi Li
DIFFBASE: a differential factbase for effective software evolution management. ESEC/SIGSOFT FSE (2021)
Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang
Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents. CoRR (2021)
Yu-An Chung, Chenguang Zhu, Michael Zeng
SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding. NAACL-HLT (2021)
Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. CoRR (2021)
Ming Zhong, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization. CoRR (2021)
Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang
Sentence-Permuted Paragraph Generation. EMNLP (1) (2021)
Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang
Sentence-Permuted Paragraph Generation. CoRR (2021)
Tongshuai Wu, Liwei Chen, Gewangzi Du, Chenguang Zhu, Gang Shi
Self-Attention based Automated Vulnerability Detection with Effective Data Representation. ISPA/BDCloud/SocialCom/SustainCom (2021)
Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu, Michael Zeng
Retrieval Enhanced Model for Commonsense Generation. ACL/IJCNLP (Findings) (2021)
Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, Michael Zeng
Want To Reduce Labeling Cost? GPT-3 Can Help. CoRR (2021)
Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang
Dict-BERT: Enhancing Language Model Pre-training with Dictionary. CoRR (2021)
Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang
A Survey of Knowledge-Enhanced Text Generation. CoRR (2020)
Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao
Few-shot Natural Language Generation for Task-Oriented Dialog. EMNLP (Findings) (2020)
Chenguang Zhu
Boosting Naturalness of Language in Task-oriented Dialogues via Adversarial Training. SIGdial (2020)
Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao
Data Augmentation for Spoken Language Understanding via Pretrained Models. CoRR (2020)
Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao
Few-shot Natural Language Generation for Task-Oriented Dialog. CoRR (2020)
Xindong Zhang, Chenguang Zhu, Yi Li, Jianmei Guo, Lihua Liu, Haobo Gu
Precfix: large-scale patch recommendation by mining defect-patch pairs. ICSE (SEIP) (2020)
Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising. CoRR (2020)
Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. CoRR (2020)
Chenguang Zhu, Ruochen Xu, Michael Zeng, Xuedong Huang
End-to-End Abstractive Summarization for Meetings. CoRR (2020)
Yumo Xu, Chenguang Zhu, Baolin Peng, Michael Zeng
Meta Dialogue Policy Learning. CoRR (2020)
Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising. EMNLP (Findings) (2020)
Baolin Peng, Chunyuan Li, Zhu Zhang, Chenguang Zhu, Jinchao Li, Jianfeng Gao
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chenguang Zhu