Shaohan Huang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
69
Venues
20
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
69 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Reasoning with Exploration: An Entropy Perspective. | Daixuan Cheng, Shaohan Huang, Xuekai Zhu, Bo Dai, Xin Zhao, Zhenliang Zhang, Furu Wei |
| 2026 | ACL | VFA: Empowering Multilingual MLLMs via Vision-Free Adaptation. | Yixia Li, Yaqing Shi, Zhiwen Ruan, Dongdong Zhang, Lingjie Jiang, Shaohan Huang, Yun Chen, Guanhua Chen, Furu Wei |
| 2026 | ACL | SPPO: Sequence-Level PPO for Long-Horizon Reasoning Tasks. | Tianyi Wang, Yixia Li, Long Li, Yibiao Chen, Shaohan Huang, Yun Chen, Peng Li, Yang Liu, Guanhua Chen |
| 2026 | ACL | Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs. | Qibin Wang, Pu Zhao, Shaohan Huang, Fangkai Yang, Lu Wang, Furu Wei, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang |
| 2026 | ACL | Shorten After You're Right: Lazy Length Penalties for Reasoning RL. | Danlong Yuan, Tian Xie, Shaohan Huang, Huishuai Zhang, Zhuocheng Gong, Chong Luo, Furu Wei, Dongyan Zhao |
| 2026 | ACL | Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts. | Di Zhang, Xun Wu, Shaohan Huang, Lingjie Jiang, Yaru Hao, Li Dong, Zewen Chi, Zhifang Sui, Furu Wei |
| 2025 | ACL | Context-DPO: Aligning Language Models for Context-Faithfulness. | Baolong Bi, Shaohan Huang, Yiwei Wang, Tianchi Yang, Zihan Zhang, Haizhen Huang, Lingrui Mei, Junfeng Fang, Zehao Li, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Shenghua Liu |
| 2025 | ACL | GeAR: Generation Augmented Retrieval. | Haoyu Liu, Shaohan Huang, Jianfeng Liu, Yuefeng Zhan, Hao Sun, Weiwei Deng, Feng Sun, Furu Wei, Qi Zhang |
| 2025 | EMNLP | On Domain-Adaptive Post-Training for Multimodal Large Language Models. | Daixuan Cheng, Shaohan Huang, Ziyu Zhu, Xintong Zhang, Xin Zhao, Zhongzhi Luan, Bo Dai, Zhenliang Zhang |
| 2025 | EMNLP | NL2Lean: Translating Natural Language into Lean 4 through Multi-Aspect Reinforcement Learning. | Yue Fang, Shaohan Huang, Xin Yu, Haizhen Huang, Zihan Zhang, Weiwei Deng, Furu Wei, Feng Sun, Qi Zhang, Zhi Jin |
| 2025 | EMNLP | Textual Aesthetics in Large Language Models. | Lingjie Jiang, Shaohan Huang, Xun Wu, Furu Wei |
| 2025 | ICCV | Rethinking DPO-Style Diffusion Aligning Frameworks. | Xun Wu, Shaohan Huang, Lingjie Jiang, Furu Wei |
| 2025 | IJCNN | Learning to Follow Domain-specific Instruction with Verifiable Rewards. | Shaohan Huang, Yi Liu, Jiaxing Qi, Hailong Yang, Zhongzhi Luan, Depei Qian |
| 2025 | IJCNN | LogReader: General-Purpose Log Analysis via Open-Source Large Language Models. | Jiaxing Qi, Zhongzhi Luan, Shaohan Huang, Yao Lu, Hailong Yang, Depei Qian |
| 2024 | AAAI | Text Diffusion with Reinforced Conditioning. | Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang |
| 2024 | ACL | Se²: Sequential Example Selection for In-Context Learning. | Haoyu Liu, Jianfeng Liu, Shaohan Huang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Furu Wei, Qi Zhang |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | COLING | Calibrating LLM-Based Evaluator. | Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang |
| 2024 | EMNLP | Instruction Pre-Training: Language Models are Supervised Multitask Learners. | Daixuan Cheng, Yuxian Gu, Shaohan Huang, Junyu Bi, Minlie Huang, Furu Wei |
| 2024 | EMNLP | Scaling Sentence Embeddings with Large Language Models. | Ting Jiang, Shaohan Huang, Zhongzhi Luan, Deqing Wang, Fuzhen Zhuang |
| 2024 | HPDC | Semantic-Aware Log Understanding and Analysis. | Shaohan Huang, Zhongzhi Luan |
| 2024 | ICLR | Adapting Large Language Models via Reading Comprehension. | Daixuan Cheng, Shaohan Huang, Furu Wei |
| 2024 | ICLR | Kosmos-G: Generating Images in Context with Multimodal Large Language Models. | Xichen Pan, Li Dong, Shaohan Huang, Zhiliang Peng, Wenhu Chen, Furu Wei |
| 2024 | ICLR | Grounding Multimodal Large Language Models to the World. | Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, Qixiang Ye, Furu Wei |
| 2024 | ICLR | Mixture of LoRA Experts. | Xun Wu, Shaohan Huang, Furu Wei |
| 2024 | IROS | KOSMOS-E : Learning to Follow Instruction for Robotic Grasping. | Zhi Wang, Xun Wu, Shaohan Huang, Li Dong, Wenhui Wang, Shuming Ma, Furu Wei |
| 2023 | AAAI | MoEC: Mixture of Expert Clusters. | Yuan Xie, Shaohan Huang, Tianyu Chen, Furu Wei |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | ACL | A Length-Extrapolatable Transformer. | Yutao Sun, Li Dong, Barun Patra, Shuming Ma, Shaohan Huang, Alon Benhaim, Vishrav Chaudhary, Xia Song, Furu Wei |
| 2023 | ACL | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | HPCC | 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 |
| 2023 | ICML | 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 |
| 2022 | ACL | 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 |
| 2022 | ACL | 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 |
| 2022 | CNSM | Black-box Attacks to Log-based Anomaly Detection. | Shaohan Huang, Yi Liu, Carol J. Fung, Hailong Yang, Zhongzhi Luan |
| 2022 | EMNLP | Snapshot-Guided Domain Adaptation for ELECTRA. | Daixuan Cheng, Shaohan Huang, Jianfeng Liu, Yuefeng Zhan, Hao Sun, Furu Wei, Denvy Deng, Qi Zhang |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | ICASSP | Learning Music Sequence Representation From Text Supervision. | Tianyu Chen, Yuan Xie, Shuai Zhang, Shaohan Huang, Haoyi Zhou, Jianxin Li |
| 2022 | NOMS | 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 |
| 2021 | ACL | 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 |
| 2021 | ACL | MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers. | Wenhui Wang, Hangbo Bao, Shaohan Huang, Li Dong, Furu Wei |
| 2021 | ACL | Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains. | Yunzhi Yao, Shaohan Huang, Wenhui Wang, Li Dong, Furu Wei |
| 2021 | ACL | 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 |
| 2021 | CCGRID | 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 |
| 2021 | EMNLP | 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 |
| 2021 | EMNLP | 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 |
| 2020 | CNSM | Transfer Log-based Anomaly Detection with Pseudo Labels. | Shaohan Huang, Yi Liu, Carol J. Fung, Rong He, Yining Zhao, Hailong Yang, Zhongzhi Luan |
| 2020 | COLING | Unsupervised Fine-tuning for Text Clustering. | Shaohan Huang, Furu Wei, Lei Cui, Xingxing Zhang, Ming Zhou |
| 2020 | COLING | DocBank: A Benchmark Dataset for Document Layout Analysis. | Minghao Li, Yiheng Xu, Lei Cui, Shaohan Huang, Furu Wei, Zhoujun Li, Ming Zhou |
| 2020 | EMNLP | Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph. | Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Xiaoyan Zhu, Minlie Huang |
| 2020 | IJCNLP | Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths. | Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Minlie Huang |
| 2020 | KDD | LayoutLM: Pre-training of Text and Layout for Document Image Understanding. | Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou |
| 2020 | LREC | TableBank: Table Benchmark for Image-based Table Detection and Recognition. | Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou, Zhoujun Li |
| 2020 | NOMS | Paddy: An Event Log Parsing Approach using Dynamic Dictionary. | Shaohan Huang, Yi Liu, Carol J. Fung, Rong He, Yining Zhao, Hailong Yang, Zhongzhi Luan |
| 2019 | AAAI | Response Generation by Context-Aware Prototype Editing. | Yu Wu, Furu Wei, Shaohan Huang, Yunli Wang, Zhoujun Li, Ming Zhou |
| 2019 | AAAI | Dictionary-Guided Editing Networks for Paraphrase Generation. | Shaohan Huang, Yu Wu, Furu Wei, Zhongzhi Luan |
| 2018 | ACL | Neural Document Summarization by Jointly Learning to Score and Select Sentences. | Qingyu Zhou, Nan Yang, Furu Wei, Shaohan Huang, Ming Zhou, Tiejun Zhao |
| 2017 | ACL | SuperAgent: A Customer Service Chatbot for E-commerce Websites. | Lei Cui, Shaohan Huang, Furu Wei, Chuanqi Tan, Chaoqun Duan, Ming Zhou |
| 2017 | CNSM | 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 |
| 2017 | EACL | Learning to Generate Product Reviews from Attributes. | Li Dong, Shaohan Huang, Furu Wei, Mirella Lapata, Ming Zhou, Ke Xu |
| 2017 | IWQoS | PSOM: Periodic Self-Organizing Maps for unsupervised anomaly detection in periodic time series. | Shupeng Zhang, Carol J. Fung, Shaohan Huang, Zhongzhi Luan, Depei Qian |
| 2016 | IWQoS | Using recurrent neural networks toward black-box system anomaly prediction. | Shaohan Huang, Carol J. Fung, Kui Wang, Polo Pei, Zhongzhi Luan, Depei Qian |
| 2015 | IWQoS | 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 |