Shaohan Huang

According to our database, Shaohan Huang authored at least 103 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

SpikeLog: Log-Based Anomaly Detection via Potential-Assisted Spiking Neuron Network.

Jiaxing Qi, Zhongzhi Luan, Shaohan Huang, Carol J. Fung, Hailong Yang, Depei Qian

IEEE Trans. Knowl. Data Eng., December, 2024

DeepNet: Scaling Transformers to 1,000 Layers.

Hongyu Wang, Shuming Ma, Li Dong, Shaohan Huang, Dongdong Zhang, Furu Wei

IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

LogSay: An Efficient Comprehension System for Log Numerical Reasoning.

Jiaxing Qi, Zhongzhi Luan, Shaohan Huang, Carol J. Fung, Hailong Yang

IEEE Trans. Computers, July, 2024

FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning.

Jiaxing Qi, Zhongzhi Luan, Shaohan Huang, Carol J. Fung, Hailong Yang, Depei Qian

CoRR, 2024

MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning.

Ting Jiang, Shaohan Huang, Shengyue Luo, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Deqing Wang, Fuzhen Zhuang

CoRR, 2024

You Only Cache Once: Decoder-Decoder Architectures for Language Models.

Yutao Sun, Li Dong, Yi Zhu, Shaohan Huang, Wenhui Wang, Shuming Ma, Quanlu Zhang, Jianyong Wang, Furu Wei

CoRR, 2024

Multimodal Large Language Model is a Human-Aligned Annotator for Text-to-Image Generation.

Xun Wu, Shaohan Huang, Furu Wei

CoRR, 2024

Multi-Head Mixture-of-Experts.

Xun Wu, Shaohan Huang, Wenhui Wang, Furu Wei

CoRR, 2024

Exploring the Comprehension of ChatGPT in Traditional Chinese Medicine Knowledge.

Yizhen Li, Shaohan Huang, Jiaxing Qi, Lei Quan, Dongran Han, Zhongzhi Luan

CoRR, 2024

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits.

Shuming Ma, Hongyu Wang, Lingxiao Ma, Lei Wang, Wenhui Wang, Shaohan Huang, Li Dong, Ruiping Wang, Jilong Xue, Furu Wei

CoRR, 2024

Se²: Sequential Example Selection for In-Context Learning.

Haoyu Liu, Jianfeng Liu, Shaohan Huang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Furu Wei, Qi Zhang

CoRR, 2024

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models.

Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei

CoRR, 2024

Improving Domain Adaptation through Extended-Text Reading Comprehension.

Ting Jiang, Shaohan Huang, Shengyue Luo, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Deqing Wang, Fuzhen Zhuang

CoRR, 2024

Gloss: Guiding Large Language Models to Answer Questions from System Logs.

Shaohan Huang, Yi Liu, Jiaxing Qi, Jing Shang, Zhiwen Xiao, Carol J. Fung, Zhihui Wu, Hailong Yang, Zhongzhi Luan, Depei Qian

Proceedings of the IEEE International Conference on Software Analysis, 2024

Mixture of LoRA Experts.

Xun Wu, Shaohan Huang, Furu Wei

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Grounding Multimodal Large Language Models to the World.

Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, Qixiang Ye, Furu Wei

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Kosmos-G: Generating Images in Context with Multimodal Large Language Models.

Xichen Pan, Li Dong, Shaohan Huang, Zhiliang Peng, Wenhu Chen, Furu Wei

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adapting Large Language Models via Reading Comprehension.

Daixuan Cheng, Shaohan Huang, Furu Wei

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Semantic-Aware Log Understanding and Analysis.

Shaohan Huang, Zhongzhi Luan

Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024

Scaling Sentence Embeddings with Large Language Models.

Ting Jiang, Shaohan Huang, Zhongzhi Luan, Deqing Wang, Fuzhen Zhuang

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

Instruction Pre-Training: Language Models are Supervised Multitask Learners.

Daixuan Cheng, Yuxian Gu, Shaohan Huang, Junyu Bi, Minlie Huang, Furu Wei

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

Calibrating LLM-Based Evaluator.

Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

ResLoRA: Identity Residual Mapping in Low-Rank Adaption.

Shuhua Shi, Shaohan Huang, Minghui Song, Zhoujun Li, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang

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

HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition.

Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Se²: Sequential Example Selection for In-Context Learning.

Haoyu Liu, Jianfeng Liu, Shaohan Huang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Furu Wei, Qi Zhang

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

Text Diffusion with Reinforced Conditioning.

Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Improving Log-Based Anomaly Detection by Pre-Training Hierarchical Transformers.

Shaohan Huang, Yi Liu, Carol J. Fung, He Wang, Hailong Yang, Zhongzhi Luan

IEEE Trans. Computers, September, 2023

LogEncoder: Log-Based Contrastive Representation Learning for Anomaly Detection.

Jiaxing Qi, Zhongzhi Luan, Shaohan Huang, Carol J. Fung, Hailong Yang, Hanlu Li, Danfeng Zhu, Depei Qian

IEEE Trans. Netw. Serv. Manag., June, 2023

BitNet: Scaling 1-bit Transformers for Large Language Models.

Hongyu Wang, Shuming Ma, Li Dong, Shaohan Huang, Huaijie Wang, Lingxiao Ma, Fan Yang, Ruiping Wang, Yi Wu, Furu Wei

CoRR, 2023

Kosmos-2.5: A Multimodal Literate Model.

Tengchao Lv, Yupan Huang, Jingye Chen, Lei Cui, Shuming Ma, Yaoyao Chang, Shaohan Huang, Wenhui Wang, Li Dong, Weiyao Luo, Shaoxiang Wu, Guoxin Wang, Cha Zhang, Furu Wei

CoRR, 2023

LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection.

Jiaxing Qi, Shaohan Huang, Zhongzhi Luan, Carol J. Fung, Hailong Yang, Depei Qian

CoRR, 2023

Retentive Network: A Successor to Transformer for Large Language Models.

Yutao Sun, Li Dong, Shaohan Huang, Shuming Ma, Yuqing Xia, Jilong Xue, Jianyong Wang, Furu Wei

CoRR, 2023

LongNet: Scaling Transformers to 1, 000, 000, 000 Tokens.

Jiayu Ding, Shuming Ma, Li Dong, Xingxing Zhang, Shaohan Huang, Wenhui Wang, Nanning Zheng, Furu Wei

CoRR, 2023

Kosmos-2: Grounding Multimodal Large Language Models to the World.

Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, Furu Wei

CoRR, 2023

LogQA: Question Answering in Unstructured Logs.

Shaohan Huang, Yi Liu, Carol J. Fung, Jiaxing Qi, Hailong Yang, Zhongzhi Luan

CoRR, 2023

UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation.

Daixuan Cheng, Shaohan Huang, Junyu Bi, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Furu Wei, Denvy Deng, Qi Zhang

CoRR, 2023

Language Is Not All You Need: Aligning Perception with Language Models.

Shaohan Huang, Li Dong, Wenhui Wang, Yaru Hao, Saksham Singhal, Shuming Ma, Tengchao Lv, Lei Cui, Owais Khan Mohammed, Barun Patra, Qiang Liu, Kriti Aggarwal, Zewen Chi, Nils Johan Bertil Bjorck, Vishrav Chaudhary, Subhojit Som, Xia Song, Furu Wei

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

Magneto: A Foundation Transformer.

Hongyu Wang, Shuming Ma, Shaohan Huang, Li Dong, Wenhui Wang, Zhiliang Peng, Yu Wu, Payal Bajaj, Saksham Singhal, Alon Benhaim, Barun Patra, Zhun Liu, Vishrav Chaudhary, Xia Song, Furu Wei

Proceedings of the International Conference on Machine Learning, 2023

LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection.

Jiaxing Qi, Shaohan Huang, Zhongzhi Luan, Shu Yang, Carol J. Fung, Hailong Yang, Depei Qian, Jing Shang, Zhiwen Xiao, Zhihui Wu

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Democratizing Reasoning Ability: Tailored Learning from Large Language Model.

Zhaoyang Wang, Shaohan Huang, Yuxuan Liu, Jiahai Wang, Minghui Song, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang

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

UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation.

Daixuan Cheng, Shaohan Huang, Junyu Bi, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Furu Wei, Weiwei Deng, Qi Zhang

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

GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator.

Jian Yang, Shuming Ma, Li Dong, Shaohan Huang, Haoyang Huang, Yuwei Yin, Dongdong Zhang, Liqun Yang, Furu Wei, Zhoujun Li

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Length-Extrapolatable Transformer.

Yutao Sun, Li Dong, Barun Patra, Shuming Ma, Shaohan Huang, Alon Benhaim, Vishrav Chaudhary, Xia Song, Furu Wei

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Beyond English-Centric Bitexts for Better Multilingual Language Representation Learning.

Barun Patra, Saksham Singhal, Shaohan Huang, Zewen Chi, Li Dong, Furu Wei, Vishrav Chaudhary, Xia Song

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Dual-Alignment Pre-training for Cross-lingual Sentence Embedding.

Ziheng Li, Shaohan Huang, Zihan Zhang, Zhi-Hong Deng, Qiang Lou, Haizhen Huang, Jian Jiao, Furu Wei, Weiwei Deng, Qi Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Pre-training Language Model as a Multi-perspective Course Learner.

Beiduo Chen, Shaohan Huang, Zihan Zhang, Wu Guo, Zhenhua Ling, Haizhen Huang, Furu Wei, Weiwei Deng, Qi Zhang

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

MoEC: Mixture of Expert Clusters.

Yuan Xie, Shaohan Huang, Tianyu Chen, Furu Wei

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

REVAL: Recommend Which Variables to Log With Pretrained Model and Graph Neural Network.

Shaozhi Dai, Zhongzhi Luan, Shaohan Huang, Carol J. Fung, He Wang, Hailong Yang, Depei Qian

IEEE Trans. Netw. Serv. Manag., December, 2022

TorchScale: Transformers at Scale.

Shuming Ma, Hongyu Wang, Shaohan Huang, Wenhui Wang, Zewen Chi, Li Dong, Alon Benhaim, Barun Patra, Vishrav Chaudhary, Xia Song, Furu Wei

CoRR, 2022

Foundation Transformers.

Hongyu Wang, Shuming Ma, Shaohan Huang, Li Dong, Wenhui Wang, Zhiliang Peng, Yu Wu, Payal Bajaj, Saksham Singhal, Alon Benhaim, Barun Patra, Zhun Liu, Vishrav Chaudhary, Xia Song, Furu Wei

CoRR, 2022

Language Models are General-Purpose Interfaces.

Yaru Hao, Haoyu Song, Li Dong, Shaohan Huang, Zewen Chi, Wenhui Wang, Shuming Ma, Furu Wei

CoRR, 2022

Task-Specific Expert Pruning for Sparse Mixture-of-Experts.

Tianyu Chen, Shaohan Huang, Yuan Xie, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei

CoRR, 2022

On the Representation Collapse of Sparse Mixture of Experts.

Zewen Chi, Li Dong, Shaohan Huang, Damai Dai, Shuming Ma, Barun Patra, Saksham Singhal, Payal Bajaj, Xia Song, Furu Wei

CoRR, 2022

DeepNet: Scaling Transformers to 1, 000 Layers.

Hongyu Wang, Shuming Ma, Li Dong, Shaohan Huang, Dongdong Zhang, Furu Wei

CoRR, 2022

PromptBERT: Improving BERT Sentence Embeddings with Prompts.

Ting Jiang, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Liangjie Zhang, Qi Zhang

CoRR, 2022

Impacts of COVID-19 on the Return and Volatility Nexus among Cryptocurrency Market.

Xin Sui, Guifen Shi, Guanchong Hou, Shaohan Huang, Yanshuang Li

Complex., 2022

Adanomaly: Adaptive Anomaly Detection for System Logs with Adversarial Learning.

Jiaxing Qi, Zhongzhi Luan, Shaohan Huang, Yukun Wang, Carol J. Fung, Hailong Yang, Depei Qian

Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

Kformer: Knowledge Injection in Transformer Feed-Forward Layers.

Yunzhi Yao, Shaohan Huang, Li Dong, Furu Wei, Huajun Chen, Ningyu Zhang

Proceedings of the Natural Language Processing and Chinese Computing, 2022

On the Representation Collapse of Sparse Mixture of Experts.

Zewen Chi, Li Dong, Shaohan Huang, Damai Dai, Shuming Ma, Barun Patra, Saksham Singhal, Payal Bajaj, Xia Song, Xian-Ling Mao, Heyan Huang, Furu Wei

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Music Sequence Representation From Text Supervision.

Tianyu Chen, Yuan Xie, Shuai Zhang, Shaohan Huang, Haoyi Zhou, Jianxin Li

Proceedings of the IEEE International Conference on Acoustics, 2022

CROP: Zero-shot Cross-lingual Named Entity Recognition with Multilingual Labeled Sequence Translation.

Jian Yang, Shaohan Huang, Shuming Ma, Yuwei Yin, Li Dong, Dongdong Zhang, Hongcheng Guo, Zhoujun Li, Furu Wei

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

PromptBERT: Improving BERT Sentence Embeddings with Prompts.

Ting Jiang, Jian Jiao, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Denvy Deng, Qi Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Snapshot-Guided Domain Adaptation for ELECTRA.

Daixuan Cheng, Shaohan Huang, Jianfeng Liu, Yuefeng Zhan, Hao Sun, Furu Wei, Denvy Deng, Qi Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Black-box Attacks to Log-based Anomaly Detection.

Shaohan Huang, Yi Liu, Carol J. Fung, Hailong Yang, Zhongzhi Luan

Proceedings of the 18th International Conference on Network and Service Management, 2022

XLM-E: Cross-lingual Language Model Pre-training via ELECTRA.

Zewen Chi, Shaohan Huang, Li Dong, Shuming Ma, Bo Zheng, Saksham Singhal, Payal Bajaj, Xia Song, Xian-Ling Mao, Heyan Huang, Furu Wei

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption.

Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Improving Non-autoregressive Generation with Mixup Training.

Ting Jiang, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Liangjie Zhang, Qi Zhang

CoRR, 2021

XLM-E: Cross-lingual Language Model Pre-training via ELECTRA.

Zewen Chi, Shaohan Huang, Li Dong, Shuming Ma, Saksham Singhal, Payal Bajaj, Xia Song, Furu Wei

CoRR, 2021

DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual Encoders.

Shuming Ma, Li Dong, Shaohan Huang, Dongdong Zhang, Alexandre Muzio, Saksham Singhal, Hany Hassan Awadalla, Xia Song, Furu Wei

CoRR, 2021

mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs.

Zewen Chi, Li Dong, Shuming Ma, Shaohan Huang, Xian-Ling Mao, Heyan Huang, Furu Wei

CoRR, 2021

Multilingual Machine Translation Systems from Microsoft for WMT21 Shared Task.

Jian Yang, Shuming Ma, Haoyang Huang, Dongdong Zhang, Li Dong, Shaohan Huang, Alexandre Muzio, Saksham Singhal, Hany Hassan, Xia Song, Furu Wei

Proceedings of the Sixth Conference on Machine Translation, 2021

Allocating Large Vocabulary Capacity for Cross-Lingual Language Model Pre-Training.

Bo Zheng, Li Dong, Shaohan Huang, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

mT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs.

Zewen Chi, Li Dong, Shuming Ma, Shaohan Huang, Saksham Singhal, Xian-Ling Mao, Heyan Huang, Xia Song, Furu Wei

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

PriPro: Towards Effective Privacy Protection on Edge-Cloud System running DNN Inference.

Ruiyuan Gao, Hailong Yang, Shaohan Huang, Ming Dun, Mingzhen Li, Zerong Luan, Zhongzhi Luan, Depei Qian

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

Consistency Regularization for Cross-Lingual Fine-Tuning.

Bo Zheng, Li Dong, Shaohan Huang, Wenhui Wang, Zewen Chi, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains.

Yunzhi Yao, Shaohan Huang, Wenhui Wang, Li Dong, Furu Wei

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers.

Wenhui Wang, Hangbo Bao, Shaohan Huang, Li Dong, Furu Wei

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment.

Zewen Chi, Li Dong, Bo Zheng, Shaohan Huang, Xian-Ling Mao, Heyan Huang, Furu Wei

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

HitAnomaly: Hierarchical Transformers for Anomaly Detection in System Log.

Shaohan Huang, Yi Liu, Carol J. Fung, Rong He, Yining Zhao, Hailong Yang, Zhongzhi Luan

IEEE Trans. Netw. Serv. Manag., 2020

A Joint Sentence Scoring and Selection Framework for Neural Extractive Document Summarization.

Qingyu Zhou, Nan Yang, Furu Wei, Shaohan Huang, Ming Zhou, Tiejun Zhao

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Paddy: An Event Log Parsing Approach using Dynamic Dictionary.

Shaohan Huang, Yi Liu, Carol J. Fung, Rong He, Yining Zhao, Hailong Yang, Zhongzhi Luan

Proceedings of the NOMS 2020, 2020

TableBank: Table Benchmark for Image-based Table Detection and Recognition.

Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou, Zhoujun Li

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

LayoutLM: Pre-training of Text and Layout for Document Image Understanding.

Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths.

Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Minlie Huang

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

A Gated Few-shot Learning Model For Anomaly Detection.

Shaohan Huang, Yi Liu, Carol J. Fung, Wanhe An, Rong He, Yining Zhao, Hailong Yang, Zhongzhi Luan

Proceedings of the 2020 International Conference on Information Networking, 2020

Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph.

Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Xiaoyan Zhu, Minlie Huang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

DocBank: A Benchmark Dataset for Document Layout Analysis.

Minghao Li, Yiheng Xu, Lei Cui, Shaohan Huang, Furu Wei, Zhoujun Li, Ming Zhou

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Unsupervised Fine-tuning for Text Clustering.

Shaohan Huang, Furu Wei, Lei Cui, Xingxing Zhang, Ming Zhou

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Transfer Log-based Anomaly Detection with Pseudo Labels.

Shaohan Huang, Yi Liu, Carol J. Fung, Rong He, Yining Zhao, Hailong Yang, Zhongzhi Luan

Proceedings of the 16th International Conference on Network and Service Management, 2020

2019

Neural Melody Composition from Lyrics.

Hangbo Bao, Shaohan Huang, Furu Wei, Lei Cui, Yu Wu, Chuanqi Tan, Songhao Piao, Ming Zhou

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Dictionary-Guided Editing Networks for Paraphrase Generation.

Shaohan Huang, Yu Wu, Furu Wei, Zhongzhi Luan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Response Generation by Context-Aware Prototype Editing.

Yu Wu, Furu Wei, Shaohan Huang, Yunli Wang, Zhoujun Li, Ming Zhou

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Text Morphing.

Shaohan Huang, Yu Wu, Furu Wei, Ming Zhou

CoRR, 2018

Dictionary-Guided Editing Networks for Paraphrase Generation.

Shaohan Huang, Yu Wu, Furu Wei, Ming Zhou

CoRR, 2018

Response Generation by Context-aware Prototype Editing.

Yu Wu, Furu Wei, Shaohan Huang, Zhoujun Li, Ming Zhou

CoRR, 2018

Neural Document Summarization by Jointly Learning to Score and Select Sentences.

Qingyu Zhou, Nan Yang, Furu Wei, Shaohan Huang, Ming Zhou, Tiejun Zhao

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

PSOM: Periodic Self-Organizing Maps for unsupervised anomaly detection in periodic time series.

Shupeng Zhang, Carol J. Fung, Shaohan Huang, Zhongzhi Luan, Depei Qian

Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

Learning to Generate Product Reviews from Attributes.

Li Dong, Shaohan Huang, Furu Wei, Mirella Lapata, Ming Zhou, Ke Xu

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Arena: Adaptive real-time update anomaly prediction in cloud systems.

Shaohan Huang, Carol J. Fung, Chang Liu, Shupeng Zhang, Guang Wei, Zhongzhi Luan, Depei Qian

Proceedings of the 13th International Conference on Network and Service Management, 2017

SuperAgent: A Customer Service Chatbot for E-commerce Websites.

Lei Cui, Shaohan Huang, Furu Wei, Chuanqi Tan, Chaoqun Duan, Ming Zhou

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Using recurrent neural networks toward black-box system anomaly prediction.

Shaohan Huang, Carol J. Fung, Kui Wang, Polo Pei, Zhongzhi Luan, Depei Qian

Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016

2015

A methodology for root-cause analysis in component based systems.

Kui Wang, Carol J. Fung, Chao Ding, Polo Pei, Shaohan Huang, Zhongzhi Luan, Depei Qian

Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015

Revisit network anomaly ranking in datacenter network using re-ranking.

Shaohan Huang, Carol J. Fung, Kui Wang, Yaqi Yang, Zhongzhi Luan, Depei Qian

Proceedings of the 4th IEEE International Conference on Cloud Networking, 2015