| 2026 | AAAI | Efficient Preference Alignment via Pareto Exploration (Student Abstract). | Pengfei Liu, Rui Kong, Zongzhang Zhang |
| 2026 | AAAI | SCALE: Selective Resource Allocation for Overcoming Performance Bottlenecks in Mathematical Test-time Scaling. | Yang Xiao, Chunpu Xu, Ruifeng Yuan, Jessie Wang, Wenjie Li, Pengfei Liu |
| 2026 | ACL | LongCLI-Bench: A Preliminary Benchmark and Study for Long-horizon Agentic Programming in Command-Line Interfaces. | Yukang Feng, Jianwen Sun, Zelai Yang, Jiaxin Ai, Chuanhao Li, Zizhen Li, Fanrui Zhang, Kang He, Rui Ma, Jifan Lin, Jie Sun, Yang Xiao, Sizhuo Zhou, Wenxiao Wu, Yiming Liu, Pengfei Liu, Shenglin Zhang, Kaipeng Zhang |
| 2026 | ACL | AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts. | Keyu Li, Junhao Shi, Yang Xiao, Mohan Jiang, Jie Sun, Yunze Wu, Dayuan Fu, Shijie Xia, Xiaojie Cai, Tianze Xu, Weiye Si, Wenjie Li, Dequan Wang, Pengfei Liu |
| 2026 | ACL | SciPedia: Unlocking the Value of Scientific Data for Pre-training. | Yiwei Qin, Zhen Huang, Tiantian Mi, Weiye Si, Qipeng Guo, Siyuan Feng, Pengfei Liu |
| 2026 | ACL | SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs. | Jie Sun, Yu Liu, Lu Han, Qiwen Deng, Xiang Shu, Yang Xiao, Lintao Ma, Xingyu Lu, Jun Zhou, Pengfei Liu, Jiancan Wu, Xiang Wang |
| 2026 | ACL | DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models. | Yakun Zhu, Zhongzhen Huang, Linjie Mu, Yutong Huang, Wei Nie, Jiaji Liu, Shaoting Zhang, Pengfei Liu, Xiaofan Zhang |
| 2026 | CHI | Interaction as Intelligence: A Transparent, Fine-Grained Multi-Agent Deep Research System for Human-Agent Collaboration. | Lyumanshan Ye, Xiaojie Cai, Xinkai Wang, Junfei Wang, Yuxiang Zheng, Xiangkun Hu, Tianze Xu, Dayuan Fu, Pengrui Lu, Yang Nan, Jiadi Su, Yunze Wu, Pengfei Liu |
| 2025 | AAAI | RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance. | Chengrui Wang, Pengfei Liu, Min Zhou, Ming Zeng, Xubin Li, Tiezheng Ge, Bo Zheng |
| 2025 | AAAI | Evaluating Mathematical Reasoning Beyond Accuracy. | Shijie Xia, Xuefeng Li, Yixin Liu, Tongshuang Wu, Pengfei Liu |
| 2025 | ACL | Towards Dynamic Theory of Mind: Evaluating LLM Adaptation to Temporal Evolution of Human States. | Yang Xiao, Jiashuo Wang, Qiancheng Xu, Changhe Song, Chunpu Xu, Yi Cheng, Wenjie Li, Pengfei Liu |
| 2025 | ACL | DavIR: Data Selection via Implicit Reward for Large Language Models. | Haotian Zhou, Tingkai Liu, Qianli Ma, Yufeng Zhang, Jianbo Yuan, Pengfei Liu, Yang You, Hongxia Yang |
| 2025 | CEC | LW-MSTCNN: An Optimization Study on Integrating Multiscale Attention Mechanism with Deep Separable Convolutional Networks. | Yunjie Li, Pengfei Liu, Haitao Zhao, Haifeng Tang, Minxian Shen, Lingyao Wang |
| 2025 | CloudCom | SMamDiff: Spatial Mamba for Stochastic Human Motion Prediction. | Junqiao Fan, Pengfei Liu, Haocong Rao |
| 2025 | EMNLP | DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments. | Yuxiang Zheng, Dayuan Fu, Xiangkun Hu, Xiaojie Cai, Lyumanshan Ye, Pengrui Lu, Pengfei Liu |
| 2025 | ICCCN | Verifiable Weighted Electronic Voting against Tally Leakage for Popular Voting Methods. | Chenrui Zeng, Yuan Zhang, Yaqing Song, Xinyu He, Pengfei Liu, Yuanyuan He, Hongwei Li |
| 2025 | ICLR | Progress or Regress? Self-Improvement Reversal in Post-training. | Ting Wu, Xuefeng Li, Pengfei Liu |
| 2025 | ICLR | Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model. | Wenhong Zhu, Zhiwei He, Xiaofeng Wang, Pengfei Liu, Rui Wang |
| 2025 | ICML | OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance. | Yongqiang Yao, Jingru Tan, Feizhao Zhang, Jiahao Hu, Yazhe Niu, Xin Jin, Bo Li, Pengfei Liu, Ruihao Gong, Dahua Lin, Ningyi Xu |
| 2025 | ICML | Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale. | Fan Zhou, Zengzhi Wang, Qian Liu, Junlong Li, Pengfei Liu |
| 2025 | ICSA | Improving Clinical Decision Support: Architecture Design of a Multi-agent System based on an Argument Quality Assessment Ontology. | Pengfei Liu, Liang Xiao |
| 2025 | NAACL | Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. | Haonan Li, Xudong Han, Zenan Zhai, Honglin Mu, Hao Wang, Zhenxuan Zhang, Yilin Geng, Shom Lin, Renxi Wang, Artem Shelmanov, Xiangyu Qi, Yuxia Wang, Donghai Hong, Youliang Yuan, Meng Chen, Haoqin Tu, Fajri Koto, Cong Zeng, Tatsuki Kuribayashi, Rishabh Bhardwaj, Bingchen Zhao, Yawen Duan, Yi Liu, Emad A. Alghamdi, Yaodong Yang, Yinpeng Dong, Soujanya Poria, Pengfei Liu, Zhengzhong Liu, Xuguang Ren, Eduard H. Hovy, Iryna Gurevych, Preslav Nakov, Monojit Choudhury, Timothy Baldwin |
| 2025 | NAACL | Understanding Reference Policies in Direct Preference Optimization. | Yixin Liu, Pengfei Liu, Arman Cohan |
| 2024 | ACL | Dissecting Human and LLM Preferences. | Junlong Li, Fan Zhou, Shichao Sun, Yikai Zhang, Hai Zhao, Pengfei Liu |
| 2024 | ACL | MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation. | Yan Ma, Yu Qiao, Pengfei Liu |
| 2024 | ACL | InFoBench: Evaluating Instruction Following Ability in Large Language Models. | Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu |
| 2024 | ACL | The Critique of Critique. | Shichao Sun, Junlong Li, Weizhe Yuan, Ruifeng Yuan, Wenjie Li, Pengfei Liu |
| 2024 | ACL | Prompt Chaining or Stepwise Prompt? Refinement in Text Summarization. | Shichao Sun, Ruifeng Yuan, Ziqiang Cao, Wenjie Li, Pengfei Liu |
| 2024 | ACL | DocLens: Multi-aspect Fine-grained Medical Text Evaluation. | Yiqing Xie, Sheng Zhang, Hao Cheng, Pengfei Liu, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon, Carolyn P. Ros |
| 2024 | ACL | LLMCrit: Teaching Large Language Models to Use Criteria. | Weizhe Yuan, Pengfei Liu, Matthias Gall |
| 2024 | EMNLP | Weak-to-Strong Reasoning. | Yuqing Yang, Yan Ma, Pengfei Liu |
| 2024 | EMNLP | Reformatted Alignment. | Run-Ze Fan, Xuefeng Li, Haoyang Zou, Junlong Li, Shwai He, Ethan Chern, Jiewen Hu, Pengfei Liu |
| 2024 | EMNLP | Knowledge-Centric Hallucination Detection. | Xiangkun Hu, Dongyu Ru, Lin Qiu, Qipeng Guo, Tianhang Zhang, Yang Xu, Yun Luo, Pengfei Liu, Yue Zhang, Zheng Zhang |
| 2024 | EMNLP | ECON: On the Detection and Resolution of Evidence Conflicts. | Cheng Jiayang, Chunkit Chan, Qianqian Zhuang, Lin Qiu, Tianhang Zhang, Tengxiao Liu, Yangqiu Song, Yue Zhang, Pengfei Liu, Zheng Zhang |
| 2024 | EMNLP | FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs. | Yiyuan Li, Shichao Sun, Pengfei Liu |
| 2024 | EMNLP | SAFETY-J: Evaluating Safety with Critique. | Yixiu Liu, Yuxiang Zheng, Shijie Xia, Jiajun Li, Yi Tu, Chaoling Song, Pengfei Liu |
| 2024 | EMNLP | OpenResearcher: Unleashing AI for Accelerated Scientific Research. | Yuxiang Zheng, Shichao Sun, Lin Qiu, Dongyu Ru, Cheng Jiayang, Xuefeng Li, Jifan Lin, Binjie Wang, Yun Luo, Renjie Pan, Yang Xu, Qingkai Min, Zizhao Zhang, Yiwen Wang, Wenjie Li, Pengfei Liu |
| 2024 | ICLR | Generative Judge for Evaluating Alignment. | Junlong Li, Shichao Sun, Weizhe Yuan, Run-Ze Fan, Hai Zhao, Pengfei Liu |
| 2024 | NAACL | GPTScore: Evaluate as You Desire. | Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu |
| 2024 | NAACL | Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. | Yixin Liu, Alexander R. Fabbri, Jiawen Chen, Yilun Zhao, Simeng Han, Shafiq Joty, Pengfei Liu, Dragomir Radev, Chien-Sheng Wu, Arman Cohan |
| 2024 | NAACL | On Learning to Summarize with Large Language Models as References. | Yixin Liu, Kejian Shi, Katherine He, Longtian Ye, Alexander R. Fabbri, Pengfei Liu, Dragomir Radev, Arman Cohan |
| 2023 | ACL | DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions. | Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig |
| 2023 | ACL | Multi-Dimensional Evaluation of Text Summarization with In-Context Learning. | Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra, Patrick Fernandes, Pengfei Liu, Graham Neubig, Chunting Zhou |
| 2023 | ACL | Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. | Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev |
| 2023 | CSCWD | An Intelligent Human-Agent Interaction Support System in Medicine. | Pengfei Liu, Liang Xiao |
| 2023 | EMNLP | LLM-driven Instruction Following: Progresses and Concerns. | Wenpeng Yin, Qinyuan Ye, Pengfei Liu, Xiang Ren, Hinrich Schtze |
| 2023 | EMNLP | Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. | Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev |
| 2023 | EMNLP | T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics. | Yiwei Qin, Weizhe Yuan, Graham Neubig, Pengfei Liu |
| 2023 | EMNLP | GlobalBench: A Benchmark for Global Progress in Natural Language Processing. | Yueqi Song, Simran Khanuja, Pengfei Liu, Fahim Faisal, Alissa Ostapenko, Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Yulia Tsvetkov, Antonios Anastasopoulos, Graham Neubig |
| 2023 | ICML | PAL: Program-aided Language Models. | Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig |
| 2023 | Interspeech | PunCantonese: A Benchmark Corpus for Low-Resource Cantonese Punctuation Restoration from Speech Transcripts. | Yunxiang Li, Pengfei Liu, Xixin Wu, Helen Meng |
| 2023 | IGARSS | Hyperspectral Image Destriping and Denoising with Spectral Low Rank and Tensor Nuclear Norm. | Pengfei Liu, Lanlan Liu |
| 2022 | AAAI | KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-training. | Weizhe Yuan, Pengfei Liu |
| 2022 | ACL | BRIO: Bringing Order to Abstractive Summarization. | Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig |
| 2022 | ACL | DataLab: A Platform for Data Analysis and Intervention. | Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu |
| 2022 | EMNLP | Polyglot Prompt: Multilingual Multitask Prompt Training. | Jinlan Fu, See-Kiong Ng, Pengfei Liu |
| 2022 | EMNLP | KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. | Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig |
| 2022 | EMNLP | Towards a Unified Multi-Dimensional Evaluator for Text Generation. | Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han |
| 2022 | IJCAI | I²R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation. | Yiwei Ding, Wenjin Deng, Yinglin Zheng, Pengfei Liu, Meihong Wang, Xuan Cheng, Jianmin Bao, Dong Chen, Ming Zeng |
| 2022 | INFOCOM | Radio Frequency Fingerprint Identification Method Based on Ensemble Learning. | Yu Huang, Pengfei Liu, Jie Yang |
| 2022 | IROS | Fidelity Evaluation of Virtual Traffic Based on Anomalous Trajectory Detection. | Chaoneng Li, Qianwen Chao, Guanwen Feng, Qiongyan Wang, Pengfei Liu, Yunan Li, Qiguang Miao |
| 2022 | IGARSS | Pansharpening with Spatial Hyper-Laplacian and Spectral Sparse Constraints. | Pengfei Liu, Songze Tang, Lili Huang |
| 2022 | NAACL | Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification. | Yang Xiao, Jinlan Fu, See-Kiong Ng, Pengfei Liu |
| 2022 | TrustCom | HashDroid:Extraction of malicious features of Android applications based on function call graph pruning. | Pengfei Liu, Weiping Wang, Hong Song, Shigeng Zhang, Yulu Hong |
| 2021 | ACL | SpanNER: Named Entity Re-/Recognition as Span Prediction. | Jinlan Fu, Xuanjing Huang, Pengfei Liu |
| 2021 | ACL | SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization. | Yixin Liu, Pengfei Liu |
| 2021 | ACL | ExplainaBoard: An Explainable Leaderboard for NLP. | Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig |
| 2021 | ACL | How well do you know your summarization datasets? | Priyam Tejaswin, Dhruv Naik, Pengfei Liu |
| 2021 | ACL | CitationIE: Leveraging the Citation Graph for Scientific Information Extraction. | Vijay Viswanathan, Graham Neubig, Pengfei Liu |
| 2021 | DOLAP | Coining goldMEDAL: A New Contribution to Data Lake Generic Metadata Modeling. | tienne Scholly, Pegdwend N. Sawadogo, Pengfei Liu, Javier-Alfonso Espinosa-Oviedo, Ccile Favre, Sabine Loudcher, Jrme Darmont, Camille Nos |
| 2021 | EACL | Towards More Fine-grained and Reliable NLP Performance Prediction. | Zihuiwen Ye, Pengfei Liu, Jinlan Fu, Graham Neubig |
| 2021 | EMNLP | Are Factuality Checkers Reliable? Adversarial Meta-evaluation of Factuality in Summarization. | Yiran Chen, Pengfei Liu, Xipeng Qiu |
| 2021 | EMNLP | XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. | Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Dan Garrette, Graham Neubig, Melvin Johnson |
| 2021 | IJCNN | End-to-end spoofing speech detection and knowledge distillation under noisy conditions. | Pengfei Liu, Zhenchuan Zhang, Yingchun Yang |
| 2021 | IDEAS | ArchaeoDAL: A Data Lake for Archaeological Data Management and Analytics. | Pengfei Liu, Sabine Loudcher, Jrme Darmont, Camille Nos |
| 2021 | NAACL | Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa. | Junqi Dai, Hang Yan, Tianxiang Sun, Pengfei Liu, Xipeng Qiu |
| 2021 | NAACL | GSum: A General Framework for Guided Neural Abstractive Summarization. | Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig |
| 2021 | NAACL | Larger-Context Tagging: When and Why Does It Work? | Jinlan Fu, Liangjing Feng, Qi Zhang, Xuanjing Huang, Pengfei Liu |
| 2021 | NAACL | RefSum: Refactoring Neural Summarization. | Yixin Liu, Zi-Yi Dou, Pengfei Liu |
| 2021 | VTC | Decentralized Learning-based Scenario Identification Method for Intelligent Vehicular Communications. | Yaru Zhou, Yu Wang, Pengfei Liu, Jie Yang, Tomoaki Ohtsuki, Hikmet Sari |
| 2020 | AAAI | Zero-Shot Text-to-SQL Learning with Auxiliary Task. | Shuaichen Chang, Pengfei Liu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou |
| 2020 | AAAI | Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study. | Jinlan Fu, Pengfei Liu, Qi Zhang |
| 2020 | AAAI | Multi-Scale Self-Attention for Text Classification. | Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang |
| 2020 | AAAI | Learning Sparse Sharing Architectures for Multiple Tasks. | Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang |
| 2020 | ACL | Heterogeneous Graph Neural Networks for Extractive Document Summarization. | Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang |
| 2020 | ACL | Extractive Summarization as Text Matching. | Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang |
| 2020 | COLING | Metrics also Disagree in the Low Scoring Range: Revisiting Summarization Evaluation Metrics. | Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, Pengfei Liu |
| 2020 | EANN | Drug2vec: A Drug Embedding Method with Drug-Drug Interaction as the Context. | Pengfei Liu, Xubin Zheng, Man Hon Wong, Kwong-Sak Leung |
| 2020 | ECCV | RTM3D: Real-Time Monocular 3D Detection from Object Keypoints for Autonomous Driving. | Peixuan Li, Huaici Zhao, Pengfei Liu, Feidao Cao |
| 2020 | EMNLP | Re-evaluating Evaluation in Text Summarization. | Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, Pengfei Liu, Graham Neubig |
| 2020 | EMNLP | An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems. | Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang |
| 2020 | EMNLP | Interpretable Multi-dataset Evaluation for Named Entity Recognition. | Jinlan Fu, Pengfei Liu, Graham Neubig |
| 2020 | EMNLP | RethinkCWS: Is Chinese Word Segmentation a Solved Task? | Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang |
| 2020 | INFOCOM | Towards Anti-interference WiFi-based Activity Recognition System Using Interference-Independent Phase Component. | Jinyang Huang, Bin Liu, Pengfei Liu, Chao Chen, Ning Xiao, Yu Wu, Chi Zhang, Nenghai Yu |
| 2020 | Interspeech | Group Gated Fusion on Attention-Based Bidirectional Alignment for Multimodal Emotion Recognition. | Pengfei Liu, Kun Li, Helen Meng |
| 2019 | AAAI | Contextualized Non-Local Neural Networks for Sequence Learning. | Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung |
| 2019 | AAAI | Learning Multi-Task Communication with Message Passing for Sequence Learning. | Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung |
| 2019 | ACL | TIGS: An Inference Algorithm for Text Infilling with Gradient Search. | Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv |
| 2019 | ACL | Searching for Effective Neural Extractive Summarization: What Works and What's Next. | Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang |
| 2019 | IGARSS | A Multi-Scale Densely Deep Learning Method for Pansharpening. | Zhikang Xiang, Liang Xiao, Pengfei Liu, Yufei Zhang |
| 2019 | IGARSS | A Rapid Albedo Inversion Method from NADIR Reflectance Based on MODIS BRDF Product. | Hu Zhang, Lei Chen, Yi Lian, Pengfei Liu, Yadong Dong, Da Qian |
| 2019 | INFOCOM | Real-time Identification of Rogue WiFi Connections Using Environment-Independent Physical Features. | Pengfei Liu, Panlong Yang, Wen-Zhan Song, Yubo Yan, Xiang-Yang Li |
| 2019 | IGARSS | Data Augmentation and Refining with Steering Stencils for Supervised Classification of Hyperspectral Image. | Qichao Liu, Liang Xiao, Pengfei Liu, Nan Huang |
| 2019 | IGARSS | Research On Key Technology Of Quick Copy And Random Accessing Of Massive Map Tiles. | Pengfei Liu, Qian Wang, Zun Wang, Hu Zhang, Yiquan Song |
| 2019 | NAACL | Star-Transformer. | Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang |
| 2018 | AAAI | Meta Multi-Task Learning for Sequence Modeling. | Jun-Kun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang |
| 2018 | ICASSP | Real- Time Pedestrian Detection in Crowded Scenes Using Deep Omega-Shape Features. | Yuting Xu, Xue Zhou, Pengfei Liu, Hongbing Xu |
| 2018 | ICCCN | Pedestrian Detection Algorithm Based on Multi-Feature Cascade. | Jia Wen, Pengfei Liu, Chu Jia, Hongjun Wang |
| 2018 | ICIP | Discriminative Pixel-Pairwise Constraint-Guided Extreme Learning Machine for Semi-Supervised Hyperspectral Image Classification. | Jinhuan Xu, Pengfei Liu, Le Sun, Liang Xiao |
| 2018 | IGARSS | Pan-Sharpening with Hessian Nuclear Norm Induced Spatial Consistency. | Pengfei Liu, Liang Xiao, Songze Tang |
| 2018 | Tencon | Accelerating Drug Discovery Using Convolution Neural Network Based Active Learning. | Pengfei Liu, Kwong-Sak Leung |
| 2017 | ACL | Adversarial Multi-task Learning for Text Classification. | Pengfei Liu, Xipeng Qiu, Xuanjing Huang |
| 2017 | EMNLP | Idiom-Aware Compositional Distributed Semantics. | Pengfei Liu, Kaiyu Qian, Xipeng Qiu, Xuanjing Huang |
| 2017 | IGARSS | Effects of reflectance anisotropy on albedo retrieval from satellite observations. | Hu Zhang, Pengfei Liu, Long He, Yi Lian, Tiejun Cui |
| 2017 | IJCAI | Dynamic Compositional Neural Networks over Tree Structure. | Pengfei Liu, Xipeng Qiu, Xuanjing Huang |
| 2017 | IJCAI | Adaptive Semantic Compositionality for Sentence Modelling. | Pengfei Liu, Xipeng Qiu, Xuanjing Huang |
| 2017 | IJCNN | A model of extended paragraph vector for document categorization and trend analysis. | Pengfei Liu, King Keung Wu, Helen M. Meng |
| 2017 | IGARSS | The sharing services of map location based on network API. | Pengfei Liu, Wei Zhang, Qian Wang, Jiaying Yang |
| 2016 | AAAI | Discourse Relations Detection via a Mixed Generative-Discriminative Framework. | Jifan Chen, Qi Zhang, Pengfei Liu, Xuanjing Huang |
| 2016 | ACL | Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network. | Jifan Chen, Qi Zhang, Pengfei Liu, Xipeng Qiu, Xuanjing Huang |
| 2016 | ACL | Deep Fusion LSTMs for Text Semantic Matching. | Pengfei Liu, Xipeng Qiu, Jifan Chen, Xuanjing Huang |
| 2016 | APSCC | Selecting Contract-Oriented Skyline Services for Service Composition. | Haifang Wang, Pengfei Liu, Zhongjie Wang, Xiaofei Xu |
| 2016 | EMNLP | Deep Multi-Task Learning with Shared Memory for Text Classification. | Pengfei Liu, Xipeng Qiu, Xuanjing Huang |
| 2016 | EMNLP | Modelling Interaction of Sentence Pair with Coupled-LSTMs. | Pengfei Liu, Xipeng Qiu, Yaqian Zhou, Jifan Chen, Xuanjing Huang |
| 2016 | IGARSS | Assessment of the correlation between reflectance anisotropy and NDVI using MODIS BRDF product. | Hu Zhang, Ziti Jiao, Pengfei Liu, Yadong Dong, Yi Lian, Hongyuan Huo, Tiejun Cui |
| 2016 | IJCAI | Recurrent Neural Network for Text Classification with Multi-Task Learning. | Pengfei Liu, Xipeng Qiu, Xuanjing Huang |
| 2016 | IGARSS | Inversion of FeO and TiO2 content using microwave radiance simulation based on Chang-E2 passive microwave radiometer data. | Yi Lian, Pengfei Liu, Hongyuan Huo, Hu Zhang, Tiejun Cui, Peng Du |
| 2016 | IGARSS | Fractional order variational pan-sharpening. | Pengfei Liu, Liang Xiao, Songze Tang, Le Sun |
| 2016 | SMC | An embedding approach for context-aware collaborative recommendation and visualization. | King Keung Wu, Pengfei Liu, Helen M. Meng, Yeung Yam |
| 2015 | EMNLP | Long Short-Term Memory Neural Networks for Chinese Word Segmentation. | Xinchi Chen, Xipeng Qiu, Chenxi Zhu, Pengfei Liu, Xuanjing Huang |
| 2015 | EMNLP | Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings. | Pengfei Liu, Shafiq R. Joty, Helen M. Meng |
| 2015 | EMNLP | Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents. | Pengfei Liu, Xipeng Qiu, Xinchi Chen, Shiyu Wu, Xuanjing Huang |
| 2015 | ICASSP | Coupled learning based on singular-values-unique and hog for face hallucination. | Songze Tang, Liang Xiao, Pengfei Liu, Huicong Wu |
| 2015 | IGARSS | Joint dictionary learning with ridge regression for pansharpening. | Songze Tang, Liang Xiao, Bushra Naz, Pengfei Liu, Yufeng Chen |
| 2015 | IJCAI | Learning Context-Sensitive Word Embeddings with Neural Tensor Skip-Gram Model. | Pengfei Liu, Xipeng Qiu, Xuanjing Huang |
| 2015 | Interspeech | Topic modeling for conference analytics. | Pengfei Liu, Shoaib Jameel, Wai Lam, Bin Ma, Helen M. Meng |
| 2015 | IGARSS | A new variational method for pan-sharpening. | Pengfei Liu, Liang Xiao, Songze Tang |
| 2014 | ICASSP | Coarsening graph signal with spectral invariance. | Pengfei Liu, Xiaohan Wang, Yuantao Gu |
| 2007 | APSCC | A Complex Virtual Screening Computing Platform Based on SOA. | Pengfei Liu, Shoubin Dong, Yicheng Cao, Zhengping Du, Zhike Mao |
| 2005 | CIS | Gait Control for Biped Robot Using Fuzzy Wavelet Neural Network. | Pengfei Liu, Jiuqiang Han |
| 2005 | ISPA | Grid Computing Methodology for Protein Structure Prediction and Analysis. | Shoubin Dong, Pengfei Liu, Yicheng Cao, Zhengping Du |
| 2004 | Interspeech | Discriminative training of naive Bayes classifiers for natural language call routing. | Hui Jiang, Pengfei Liu, Imed Zitouni |