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Peng Li 0030
Person information
- affiliation: Tsinghua University, Institute for AI Industry Research (AIR), Beijing, China
- affiliation (former): Tencent Inc., WeChat AI, Pattern Recognition Center, China
- affiliation (former): Baidu Inc., Baidu Research - Institute of Deep Learning, Beijing, China
- affiliation (former): Tsinghua University, TNList, Beijing, China
Other persons with the same name
- Peng Li — disambiguation page
- Peng Li 0001
— University of California, Santa Barbara, CA, USA (and 2 more)
- Peng Li 0002
— Shandong University, School of Control Science and Engineering, Jinan, China
- Peng Li 0003
— Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Beijing, China
- Peng Li 0004
— Northwest A&F University, College of Life Science, Yangling, Shaanxi, China
- Peng Li 0005
— University of Alberta, Nanofab, Edmonton, AB, Canada
- Peng Li 0006
— University of Strathclyde, Electronic and Electrical Engineering Department, Glasgow, UK
- Peng Li 0007
— Beijing Jiaotong University, School of Electronic and Information Engineering, China
- Peng Li 0008
— North China Electric Power University, School of Economics and Management, Beijing, China
- Peng Li 0009
— Harbin University of Commerce, School of Management, China
- Peng Li 0010
— University of Wollongong, School of Mathematics & Applied Statistics, NSW, Australia (and 2 more)
- Peng Li 0011
— Nanjing University of Posts and Telecommunications, School of Computer Science and Technology, China (and 1 more)
- Peng Li 0012
— Chinese Academy of Sciences, Institute of Semiconductors, Beijing, China
- Peng Li 0013
— Hunan University of Technology, College of Electrical and Information Engineering, Zhuzhou, China
- Peng Li 0014
— Tianjin University, Key Laboratory of Smart Grid of the Ministry of Education, China (and 1 more)
- Peng Li 0015
— National University of Defense Technology, College of Mechatronics Engineering and Automation, Changsha, China
- Peng Li 0016
— Shaanxi Normal University, School of Computer Science, China (and 2 more)
- Peng Li 0017
— University of Aizu, School of Computer Science and Engineering, Fukushima, Japan
- Peng Li 0018 — PUC-Rio Rio de Janeiro, Brazil (and 2 more)
- Peng Li 0019
— Harbin Institute of Technology, Shenzhen Graduate School, School of Mechatronical Engineering, China (and 3 more)
- Peng Li 0020 — Microsoft Corporation, Redmond, WA, USA (and 1 more)
- Peng Li 0021 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- Peng Li 0022 — Halliburton Energy Services Inc., Houston, TX, USA
- Peng Li 0023 — University of Houston, Department of Mechanical Engineering, TX, USA
- Peng Li 0024
— Imperial College London, Department of Electrical and Electronic Engineering, UK
- Peng Li 0025
— China Academy of Engineering Physics, Beijing, China
- Peng Li 0026 — ByteDance Inc., Beijing, China (and 1 more)
- Peng Li 0027
— Dalian University of Technology, School of Software Technology, China (and 1 more)
- Peng Li 0028 — Intel Corporation, Hillsboro, OR, USA (and 1 more)
- Peng Li 0029
— Harbin Engineering University, Acoustic Science and Technology Laboratory / College of Underwater Acoustic Engineering, China
- Peng Li 0031
— Tsinghua University, Suzhou Automotive Research Institute, Vehicle Technology Group, Beijing, China (and 3 more)
- Peng Li 0032 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Peng Li 0033 — University of Texas at Dallas, Department of Computer Science, Richardson, TX, USA
- Peng Li 0034
— Zhejiang University, College of Optical Science and Engineering, State Key Laboratory of Modern Optical Instrumentation, China
- Peng Li 0035
— China University of Petroleum (East China), College of Information and Control Engineering, Qingdao, China
- Peng Li 0036
— Xi'an University of Technology, School of Computer Science and Engineering, China (and 1 more)
- Peng Li 0037
— Dalian Polytechnic University, School of Information Science and Engineering, China (and 1 more)
- Peng Li 0038
— Chinese Academy of Sciences, Technology and Engineering Center for Space Utilization, Beijing, China
- Peng Li 0039
— Yunnan University, School of Information, Kunming, China
- Peng Li 0040
— Chuzhou University, School of Geographic Information and Tourism, China
- Peng Li 0041
— Center for Disease Control and Prevention of PLA, Beijing, China
- Peng Li 0042
— North China Electric Power University, Key Lab of Condition Monitoring and Control for Power Plant Equipment, Baoding, China
- Peng Li 0043
— Yanshan University, Institute of Electrical Engineering, Qinhuangdao, China
- Peng Li 0044
— Xi'an University of Technology, Faculty of Economics and Management, China (and 1 more)
- Peng Li 0045
— Ostwestfalen-Lippe University of Applied Science, inIT, Lemgo, Germany
- Peng Li 0046
— Wuhan University of Science and Technology, College of Computer Science and Technology / Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, China (and 1 more)
- Peng Li 0047 — Geo-Centers, Inc., USA
- Peng Li 0048 — France Telecom Orange Labs (Beijing), China
- Peng Li 0049 — Shandong University of Science and Technology, College of Computer Science and Engineering, Qingdao, China
- Peng Li 0050
— North China Electric Power University, Department of Mathematics and Physics, Baoding, China (and 1 more)
- Peng Li 0051
— Beijing University of Technology, Faculty of Information Technology, Department of Automation, China (and 1 more)
- Peng Li 0052
— University of Science and Technology Beijing, School of Computer and Communication Engineering, China
- Peng Li 0053
— Power China Zhongnan Engineering Corporation Ltd., China (and 2 more)
- Peng Li 0054
— Xiangtan University, School of Information Engineering, China (and 1 more)
- Peng Li 0055 — Loughborough University, UK
- Peng Li 0056 — Alibaba Group, Hangzhou, China (and 2 more)
- Peng Li 0057
— Beijing University of Technology, China (and 3 more)
- Peng Li 0058 — University of Utah, School of Computing, UT, USA
- Peng Li 0059 — University of North Carolina, Chapel Hill, USA
- Peng Li 0060
— Ocean University of China, Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Qingdao, China
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2020 – today
- 2024
- [j13]Yile Wang
, Yue Zhang
, Peng Li
, Yang Liu
:
Gradual Syntactic Label Replacement for Language Model Pre-Training. IEEE ACM Trans. Audio Speech Lang. Process. 32: 486-496 (2024) - [j12]Yuanhang Zheng
, Zhixing Tan, Peng Li
, Yang Liu
:
Black-Box Prompt Tuning With Subspace Learning. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3002-3013 (2024) - [j11]Yujia Qin
, Xiaozhi Wang
, Yusheng Su
, Yankai Lin
, Ning Ding
, Jing Yi
, Weize Chen
, Zhiyuan Liu
, Juanzi Li
, Lei Hou
, Peng Li
, Maosong Sun, Jie Zhou
:
Exploring Universal Intrinsic Task Subspace for Few-Shot Learning via Prompt Tuning. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3631-3643 (2024) - [c87]Fuwen Luo, Chi Chen, Zihao Wan, Zhaolu Kang, Qidong Yan, Yingjie Li, Xiaolong Wang, Siyu Wang, Ziyue Wang, Xiaoyue Mi, Peng Li, Ning Ma, Maosong Sun, Yang Liu:
CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models. ACL (1) 2024: 10639-10659 - [c86]Zhicheng Guo, Sijie Cheng, Hao Wang, Shihao Liang, Yujia Qin, Peng Li, Zhiyuan Liu, Maosong Sun, Yang Liu:
StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models. ACL (Findings) 2024: 11143-11156 - [c85]Yuanchi Zhang, Yile Wang, Zijun Liu, Shuo Wang, Xiaolong Wang, Peng Li, Maosong Sun, Yang Liu:
Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages. ACL (1) 2024: 11189-11204 - [c84]Ziyue Wang, Chi Chen, Yiqi Zhu, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu:
Browse and Concentrate: Comprehending Multimodal Content via Prior-LLM Context Fusion. ACL (1) 2024: 11229-11245 - [c83]Chi Chen, Yiyang Du, Zheng Fang, Ziyue Wang, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu:
Model Composition for Multimodal Large Language Models. ACL (1) 2024: 11246-11262 - [c82]Xiaolong Wang, Yile Wang, Yuanchi Zhang, Fuwen Luo, Peng Li, Maosong Sun, Yang Liu:
Reasoning in Conversation: Solving Subjective Tasks through Dialogue Simulation for Large Language Models. ACL (1) 2024: 15880-15893 - [c81]Yuzhuang Xu, Shuo Wang, Peng Li, Xuebo Liu, Xiaolong Wang, Weidong Liu, Yang Liu:
Pluggable Neural Machine Translation Models via Memory-augmented Adapters. LREC/COLING 2024: 12794-12808 - [c80]Zonghan Yang, An Liu, Zijun Liu, Kaiming Liu, Fangzhou Xiong, Yile Wang, Zeyuan Yang, Qingyuan Hu, Xinrui Chen, Zhenhe Zhang, Fuwen Luo, Zhicheng Guo, Peng Li, Yang Liu:
Position: Towards Unified Alignment Between Agents, Humans, and Environment. ICML 2024 - [i72]Yile Wang, Sijie Cheng, Zixin Sun, Peng Li, Yang Liu:
Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models. CoRR abs/2401.11725 (2024) - [i71]Zijun Liu, Boqun Kou, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu:
Meta Ranking: Less Capable Language Models are Capable for Single Response Judgement. CoRR abs/2402.12146 (2024) - [i70]Ziyue Wang, Chi Chen, Yiqi Zhu, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu:
Browse and Concentrate: Comprehending Multimodal Content via prior-LLM Context Fusion. CoRR abs/2402.12195 (2024) - [i69]Yuanchi Zhang, Yile Wang, Zijun Liu, Shuo Wang, Xiaolong Wang, Peng Li, Maosong Sun, Yang Liu:
Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages. CoRR abs/2402.12204 (2024) - [i68]Chi Chen, Yiyang Du, Zheng Fang, Ziyue Wang, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu:
Model Composition for Multimodal Large Language Models. CoRR abs/2402.12750 (2024) - [i67]An Liu, Zonghan Yang, Zhenhe Zhang, Qingyuan Hu, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu:
PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs. CoRR abs/2402.12835 (2024) - [i66]Fuwen Luo, Chi Chen, Zihao Wan, Zhaolu Kang, Qidong Yan, Yingjie Li, Xiaolong Wang, Siyu Wang, Ziyue Wang, Xiaoyue Mi, Peng Li, Ning Ma, Maosong Sun, Yang Liu:
CODIS: Benchmarking Context-Dependent Visual Comprehension for Multimodal Large Language Models. CoRR abs/2402.13607 (2024) - [i65]Yuanhang Zheng, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu:
Budget-Constrained Tool Learning with Planning. CoRR abs/2402.15960 (2024) - [i64]Zhicheng Guo, Sijie Cheng, Hao Wang, Shihao Liang, Yujia Qin, Peng Li, Zhiyuan Liu, Maosong Sun, Yang Liu:
StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models. CoRR abs/2403.07714 (2024) - [i63]Zonghan Yang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu:
ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy. CoRR abs/2403.14589 (2024) - [i62]Tianyuan Zou, Yang Liu, Peng Li, Jianqing Zhang, Jingjing Liu, Ya-Qin Zhang:
FuseGen: PLM Fusion for Data-generation based Zero-shot Learning. CoRR abs/2406.12527 (2024) - 2023
- [j10]Qinhong Zhou, Peng Li
, Yang Liu, Yuyang Guan, Qizhou Xing, Ming Chen, Maosong Sun, Yang Liu:
AdaDS: Adaptive data selection for accelerating pre-trained language model knowledge distillation. AI Open 4: 56-63 (2023) - [j9]Zeyuan Yang
, Zonghan Yang, Yichen Liu, Peng Li
, Yang Liu
:
Restricted orthogonal gradient projection for continual learning. AI Open 4: 98-110 (2023) - [j8]Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c79]Yuanchi Zhang, Peng Li, Maosong Sun, Yang Liu:
Continual Knowledge Distillation for Neural Machine Translation. ACL (1) 2023: 7978-7996 - [c78]Chi Chen, Peng Li, Maosong Sun, Yang Liu:
Weakly Supervised Vision-and-Language Pre-training with Relative Representations. ACL (1) 2023: 8341-8355 - [c77]Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Huadong Wang, Deming Ye, Chaojun Xiao, Xu Han, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Plug-and-Play Knowledge Injection for Pre-trained Language Models. ACL (1) 2023: 10641-10658 - [c76]Zhicheng Guo, Sijie Cheng, Yile Wang, Peng Li, Yang Liu:
Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks. ACL (Findings) 2023: 10896-10912 - [c75]Qinhong Zhou, Zonghan Yang, Peng Li, Yang Liu:
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models. ACL (1) 2023: 13234-13248 - [c74]Xuancheng Huang, Zijun Liu, Peng Li, Tao Li, Maosong Sun, Yang Liu:
An Extensible Plug-and-Play Method for Multi-Aspect Controllable Text Generation. ACL (1) 2023: 15233-15256 - [c73]Kaiyu Huang, Peng Li, Jin Ma, Ting Yao, Yang Liu:
Knowledge Transfer in Incremental Learning for Multilingual Neural Machine Translation. ACL (1) 2023: 15286-15304 - [c72]Jifan Yu, Hanming Li, Gan Luo, Yankai Lin, Peng Li, Jianjun Xu, Lei Hou, Bin Xu:
Exploring the Effectiveness of Student Behavior in Prerequisite Relation Discovery for Concepts. APWeb/WAIM (4) 2023: 359-374 - [c71]Ziyue Wang, Chi Chen, Peng Li, Yang Liu:
Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask Questions. EMNLP (Findings) 2023: 2874-2890 - [c70]Yile Wang, Peng Li, Maosong Sun, Yang Liu:
Self-Knowledge Guided Retrieval Augmentation for Large Language Models. EMNLP (Findings) 2023: 10303-10315 - [c69]Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie:
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization. ICLR 2023 - [c68]Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu:
Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics. ICML 2023: 39349-39364 - [c67]Fengran Mo
, Jian-Yun Nie
, Kaiyu Huang
, Kelong Mao
, Yutao Zhu
, Peng Li
, Yang Liu
:
Learning to Relate to Previous Turns in Conversational Search. KDD 2023: 1722-1732 - [i61]Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning. CoRR abs/2301.10400 (2023) - [i60]Zeyuan Yang
, Zonghan Yang, Peng Li, Yang Liu:
Restricted Orthogonal Gradient Projection for Continual Learning. CoRR abs/2301.12131 (2023) - [i59]Yuanhang Zheng, Zhixing Tan, Peng Li, Yang Liu:
Black-box Prompt Tuning with Subspace Learning. CoRR abs/2305.03518 (2023) - [i58]Chi Chen, Peng Li, Maosong Sun, Yang Liu:
Weakly Supervised Vision-and-Language Pre-training with Relative Representations. CoRR abs/2305.15483 (2023) - [i57]Zhicheng Guo, Sijie Cheng, Yile Wang, Peng Li, Yang Liu:
Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks. CoRR abs/2305.17653 (2023) - [i56]Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Huadong Wang, Deming Ye, Chaojun Xiao, Xu Han, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Plug-and-Play Knowledge Injection for Pre-trained Language Models. CoRR abs/2305.17691 (2023) - [i55]Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu:
Improving Adversarial Robustness of DEQs with Explicit Regulations Along the Neural Dynamics. CoRR abs/2306.01435 (2023) - [i54]Qinhong Zhou, Zonghan Yang, Peng Li, Yang Liu:
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models. CoRR abs/2306.08909 (2023) - [i53]Yuzhuang Xu, Shuo Wang, Peng Li, Xuebo Liu, Xiaolong Wang, Weidong Liu, Yang Liu:
Pluggable Neural Machine Translation Models via Memory-augmented Adapters. CoRR abs/2307.06029 (2023) - [i52]Chi Chen, Ruoyu Qin, Fuwen Luo, Xiaoyue Mi, Peng Li, Maosong Sun, Yang Liu:
Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models. CoRR abs/2308.13437 (2023) - [i51]Yile Wang, Peng Li, Maosong Sun, Yang Liu:
Self-Knowledge Guided Retrieval Augmentation for Large Language Models. CoRR abs/2310.05002 (2023) - [i50]Ziyue Wang, Chi Chen, Peng Li, Yang Liu:
Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask Questions. CoRR abs/2311.11598 (2023) - [i49]Sijie Cheng, Zhicheng Guo, Jingwen Wu, Kechen Fang, Peng Li, Huaping Liu, Yang Liu:
Can Vision-Language Models Think from a First-Person Perspective? CoRR abs/2311.15596 (2023) - 2022
- [c66]Deming Ye, Yankai Lin, Peng Li, Maosong Sun, Zhiyuan Liu:
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models. ACL (2) 2022: 523-529 - [c65]Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
MoEfication: Transformer Feed-forward Layers are Mixtures of Experts. ACL (Findings) 2022: 877-890 - [c64]Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang:
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation. ACL (1) 2022: 2306-2319 - [c63]Yujia Qin, Jiajie Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
ELLE: Efficient Lifelong Pre-training for Emerging Data. ACL (Findings) 2022: 2789-2810 - [c62]Xin Lv, Yankai Lin, Yixin Cao, Lei Hou
, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou:
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach. ACL (Findings) 2022: 3570-3581 - [c61]Deming Ye, Yankai Lin, Peng Li, Maosong Sun:
Packed Levitated Marker for Entity and Relation Extraction. ACL (1) 2022: 4904-4917 - [c60]Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Fully Hyperbolic Neural Networks. ACL (1) 2022: 5672-5686 - [c59]Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou:
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction. EMNLP 2022: 926-941 - [c58]Lan Jiang, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Rui Jiang:
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models. EMNLP 2022: 2886-2897 - [c57]Shuo Wang, Peng Li, Zhixing Tan, Zhaopeng Tu, Maosong Sun, Yang Liu:
A Template-based Method for Constrained Neural Machine Translation. EMNLP 2022: 3665-3679 - [c56]Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models. EMNLP (Findings) 2022: 6391-6402 - [c55]Kaiyu Huang, Peng Li, Jin Ma, Yang Liu:
Entropy-Based Vocabulary Substitution for Incremental Learning in Multilingual Neural Machine Translation. EMNLP 2022: 10537-10550 - [c54]Chi Chen, Peng Li, Maosong Sun, Yang Liu:
End-to-End Unsupervised Vision-and-Language Pre-training with Referring Expression Matching. EMNLP 2022: 10799-10810 - [c53]Deli Chen, Yankai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification. IJCAI 2022: 2852-2858 - [c52]Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, Yusheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Knowledge Inheritance for Pre-trained Language Models. NAACL-HLT 2022: 3921-3937 - [c51]Yusheng Su, Xiaozhi Wang, Yujia Qin, Chi-Min Chan, Yankai Lin, Huadong Wang, Kaiyue Wen, Zhiyuan Liu, Peng Li, Juanzi Li, Lei Hou
, Maosong Sun, Jie Zhou:
On Transferability of Prompt Tuning for Natural Language Processing. NAACL-HLT 2022: 3949-3969 - [i48]Deming Ye, Yankai Lin, Peng Li, Maosong Sun, Zhiyuan Liu:
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models. CoRR abs/2202.13392 (2022) - [i47]Yujia Qin, Jiajie Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
ELLE: Efficient Lifelong Pre-training for Emerging Data. CoRR abs/2203.06311 (2022) - [i46]Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang:
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation. CoRR abs/2204.00862 (2022) - [i45]Shuo Wang, Peng Li, Zhixing Tan, Zhaopeng Tu, Maosong Sun, Yang Liu:
A Template-based Method for Constrained Neural Machine Translation. CoRR abs/2205.11255 (2022) - [i44]Ryuichi Takanobu, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Minlie Huang:
Manual-Guided Dialogue for Flexible Conversational Agents. CoRR abs/2208.07597 (2022) - [i43]Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie:
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization. CoRR abs/2210.04492 (2022) - [i42]Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models. CoRR abs/2210.05230 (2022) - [i41]Lan Jiang, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Rui Jiang:
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models. CoRR abs/2210.09658 (2022) - [i40]Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou:
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction. CoRR abs/2211.07342 (2022) - [i39]Yuanchi Zhang, Peng Li, Maosong Sun, Yang Liu:
Continually Learning from Existing Models: Knowledge Accumulation for Neural Machine Translation. CoRR abs/2212.09097 (2022) - [i38]Xuancheng Huang, Zijun Liu, Peng Li, Maosong Sun, Yang Liu:
Prompt Gating: A Parameter Efficient Tuning Method for Zero-Shot Multi-Source Translation. CoRR abs/2212.09387 (2022) - 2021
- [j7]Yusheng Su, Xu Han, Zhengyan Zhang, Yankai Lin, Peng Li, Zhiyuan Liu
, Jie Zhou
, Maosong Sun:
CokeBERT: Contextual knowledge selection and embedding towards enhanced pre-trained language models. AI Open 2: 127-134 (2021) - [j6]Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou:
MS-Ranker: Accumulating evidence from potentially correct candidates via reinforcement learning for answer selection. Neurocomputing 449: 270-279 (2021) - [j5]YuSheng Su
, Xu Han, Yankai Lin
, Zhengyan Zhang
, Zhiyuan Liu
, Peng Li, Jie Zhou, Maosong Sun
:
CSS-LM: A Contrastive Framework for Semi-Supervised Fine-Tuning of Pre-Trained Language Models. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2930-2941 (2021) - [c50]Huimin Chen, Yankai Lin, Fanchao Qi, Jinyi Hu, Peng Li, Jie Zhou, Maosong Sun:
Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework. AAAI 2021: 12639-12647 - [c49]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou:
Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information. AAAI 2021: 13727-13735 - [c48]Feilong Chen, Xiuyi Chen
, Fandong Meng, Peng Li, Jie Zhou:
GoG: Relation-aware Graph-over-Graph Network for Visual Dialog. ACL/IJCNLP (Findings) 2021: 230-243 - [c47]Feilong Chen, Fandong Meng, Xiuyi Chen
, Peng Li, Jie Zhou:
Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation. ACL/IJCNLP (Findings) 2021: 436-446 - [c46]Xiuyi Chen
, Feilong Chen, Fandong Meng, Peng Li, Jie Zhou:
Unsupervised Knowledge Selection for Dialogue Generation. ACL/IJCNLP (Findings) 2021: 1230-1244 - [c45]Tianyu Gao, Xu Han, Yuzhuo Bai, Keyue Qiu, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction. ACL/IJCNLP (Findings) 2021: 1306-1318 - [c44]Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou:
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning. ACL/IJCNLP (1) 2021: 3350-3363 - [c43]Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun:
Rethinking Stealthiness of Backdoor Attack against NLP Models. ACL/IJCNLP (1) 2021: 5543-5557 - [c42]Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou
, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou:
CLEVE: Contrastive Pre-training for Event Extraction. ACL/IJCNLP (1) 2021: 6283-6297 - [c41]Jifan Yu, Yuquan Wang, Qingyang Zhong, Gan Luo, Yiming Mao, Kai Sun, Wenzheng Feng, Wei Xu, Shulin Cao, Kaisheng Zeng, Zijun Yao, Lei Hou
, Yankai Lin, Peng Li, Jie Zhou, Bin Xu, Juanzi Li, Jie Tang, Maosong Sun:
MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. CIKM 2021: 4643-4652 - [c40]Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun:
Dynamic Knowledge Distillation for Pre-trained Language Models. EMNLP (1) 2021: 379-389 - [c39]Lei Li, Yankai Lin, Deli Chen, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun:
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade. EMNLP (Findings) 2021: 475-486 - [c38]Yuan Yao, Jiaju Du, Yankai Lin, Peng Li, Zhiyuan Liu, Jie Zhou, Maosong Sun:
CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the Wild. EMNLP (1) 2021: 4452-4472 - [c37]Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun:
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models. EMNLP (1) 2021: 8365-8381 - [c36]Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou:
Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition. NAACL-HLT 2021: 1592-1599 - [c35]Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Topology-Imbalance Learning for Semi-Supervised Node Classification. NeurIPS 2021: 29885-29897 - [c34]Xianfeng Zeng, Yijin Liu, Ernan Li, Qiu Ran, Fandong Meng, Peng Li, Jinan Xu, Jie Zhou:
WeChat Neural Machine Translation Systems for WMT21. WMT@EMNLP 2021: 243-254 - [i37]YuSheng Su, Xu Han, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Peng Li, Maosong Sun:
CSS-LM: A Contrastive Framework for Semi-supervised Fine-tuning of Pre-trained Language Models. CoRR abs/2102.03752 (2021) - [i36]Tianyu Gao, Xu Han, Keyue Qiu, Yuzhuo Bai, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction. CoRR abs/2105.09543 (2021) - [i35]Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, YuSheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Knowledge Inheritance for Pre-trained Language Models. CoRR abs/2105.13880 (2021) - [i34]Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou:
CLEVE: Contrastive Pre-training for Event Extraction. CoRR abs/2105.14485 (2021) - [i33]Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Fully Hyperbolic Neural Networks. CoRR abs/2105.14686 (2021) - [i32]Xianfeng Zeng, Yijin Liu, Ernan Li, Qiu Ran, Fandong Meng, Peng Li, Jinan Xu, Jie Zhou:
WeChat Neural Machine Translation Systems for WMT21. CoRR abs/2108.02401 (2021) - [i31]Feilong Chen, Xiuyi Chen, Fandong Meng, Peng Li, Jie Zhou:
GoG: Relation-aware Graph-over-Graph Network for Visual Dialog. CoRR abs/2109.08475 (2021) - [i30]Feilong Chen, Fandong Meng, Xiuyi Chen, Peng Li, Jie Zhou:
Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation. CoRR abs/2109.08478 (2021) - [i29]Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun:
Dynamic Knowledge Distillation for Pre-trained Language Models. CoRR abs/2109.11295 (2021) - [i28]Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
MoEfication: Conditional Computation of Transformer Models for Efficient Inference. CoRR abs/2110.01786 (2021) - [i27]Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Topology-Imbalance Learning for Semi-Supervised Node Classification. CoRR abs/2110.04099 (2021) - [i26]Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun:
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models. CoRR abs/2110.07831 (2021) - [i25]Yujia Qin, Xiaozhi Wang, YuSheng Su, Yankai Lin, Ning Ding, Zhiyuan Liu, Juanzi Li, Lei Hou, Peng Li, Maosong Sun, Jie Zhou:
Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning. CoRR abs/2110.07867 (2021) - [i24]YuSheng Su, Xiaozhi Wang, Yujia Qin, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Peng Li, Juanzi Li, Lei Hou, Maosong Sun, Jie Zhou:
On Transferability of Prompt Tuning for Natural Language Understanding. CoRR abs/2111.06719 (2021) - [i23]Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models. CoRR abs/2112.07327 (2021) - 2020
- [c33]Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun:
Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View. AAAI 2020: 3438-3445 - [c32]Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou:
DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog. AAAI 2020: 7504-7511 - [c31]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou:
Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation. ACL 2020: 3059-3069 - [c30]Xu Han, Yi Dai, Tianyu Gao, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
Continual Relation Learning via Episodic Memory Activation and Reconsolidation. ACL 2020: 6429-6440 - [c29]Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou:
MAVEN: A Massive General Domain Event Detection Dataset. EMNLP (1) 2020: 1652-1671 - [c28]Xiaoyu Kou, Yankai Lin, Shaobo Liu, Peng Li, Jie Zhou, Yan Zhang:
Disentangle-based Continual Graph Representation Learning. EMNLP (1) 2020: 2961-2972 - [c27]Xiuyi Chen
, Fandong Meng, Peng Li, Feilong Chen, Shuang Xu, Bo Xu, Jie Zhou:
Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation. EMNLP (1) 2020: 3426-3437 - [c26]Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Learning from Context or Names? An Empirical Study on Neural Relation Extraction. EMNLP (1) 2020: 3661-3672 - [c25]Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Peng Li, Maosong Sun, Zhiyuan Liu:
Coreferential Reasoning Learning for Language Representation. EMNLP (1) 2020: 7170-7186 - [c24]Xiaozhi Wang, Shengyu Jia, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Jie Zhou:
Neural Gibbs Sampling for Joint Event Argument Extraction. AACL/IJCNLP 2020: 169-180 - [c23]Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun:
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. AACL/IJCNLP 2020: 745-758 - [c22]Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou:
WeChat Neural Machine Translation Systems for WMT20. WMT@EMNLP 2020: 239-247 - [i22]Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. CoRR abs/2004.03186 (2020) - [i21]Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li
, Yankai Lin, Jie Zhou:
MAVEN: A Massive General Domain Event Detection Dataset. CoRR abs/2004.13590 (2020) - [i20]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou:
Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation. CoRR abs/2006.05165 (2020) - [i19]YuSheng Su, Xu Han, Zhengyan Zhang, Peng Li, Zhiyuan Liu, Yankai Lin, Jie Zhou, Maosong Sun:
Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models. CoRR abs/2009.13964 (2020) - [i18]Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou:
WeChat Neural Machine Translation Systems for WMT20. CoRR abs/2010.00247 (2020) - [i17]Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou:
Learning from Context or Names? An Empirical Study on Neural Relation Extraction. CoRR abs/2010.01923 (2020) - [i16]Xiaoyu Kou, Yankai Lin, Shaobo Liu, Peng Li, Jie Zhou, Yan Zhang:
Disentangle-based Continual Graph Representation Learning. CoRR abs/2010.02565 (2020) - [i15]Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou:
MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection. CoRR abs/2010.04970 (2020) - [i14]Deli Chen, Yanyai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Distance-wise Graph Contrastive Learning. CoRR abs/2012.07437 (2020) - [i13]Lei Li, Yankai Lin, Shuhuai Ren, Deli Chen, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Accelerating Pre-trained Language Models via Calibrated Cascade. CoRR abs/2012.14682 (2020) - [i12]Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou:
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning. CoRR abs/2012.15022 (2020)
2010 – 2019
- 2019
- [c21]Yuan Yao
, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun:
DocRED: A Large-Scale Document-Level Relation Extraction Dataset. ACL (1) 2019: 764-777 - [c20]Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan, Baobao Chang, Zhifang Sui, Xu Sun:
Towards Fine-grained Text Sentiment Transfer. ACL (1) 2019: 2013-2022 - [c19]Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun:
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation. ACL (1) 2019: 2047-2057 - [c18]Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, Zhiyuan Liu:
NumNet: Machine Reading Comprehension with Numerical Reasoning. EMNLP/IJCNLP (1) 2019: 2474-2484 - [c17]Xiaozhi Wang
, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren:
HMEAE: Hierarchical Modular Event Argument Extraction. EMNLP/IJCNLP (1) 2019: 5776-5782 - [c16]Tianyu Gao
, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification. EMNLP/IJCNLP (1) 2019: 6249-6254 - [c15]Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui:
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. IJCAI 2019: 5116-5122 - [c14]Xiaozhi Wang
, Xu Han, Zhiyuan Liu, Maosong Sun, Peng Li:
Adversarial Training for Weakly Supervised Event Detection. NAACL-HLT (1) 2019: 998-1008 - [i11]Qiu Ran, Peng Li
, Weiwei Hu, Jie Zhou:
Option Comparison Network for Multiple-choice Reading Comprehension. CoRR abs/1903.03033 (2019) - [i10]Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Zhifang Sui, Xu Sun:
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. CoRR abs/1905.10060 (2019) - [i9]Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, Maosong Sun:
DocRED: A Large-Scale Document-Level Relation Extraction Dataset. CoRR abs/1906.06127 (2019) - [i8]Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun:
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation. CoRR abs/1908.03067 (2019) - [i7]Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun:
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View. CoRR abs/1909.03211 (2019) - [i6]Qiu Ran, Yankai Lin, Peng Li
, Jie Zhou, Zhiyuan Liu:
NumNet: Machine Reading Comprehension with Numerical Reasoning. CoRR abs/1910.06701 (2019) - [i5]Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou:
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification. CoRR abs/1910.07124 (2019) - [i4]Qiu Ran, Yankai Lin, Peng Li
, Jie Zhou:
Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information. CoRR abs/1911.02215 (2019) - [i3]Deli Chen, Xiaoqian Liu, Yankai Lin, Peng Li, Jie Zhou, Qi Su, Xu Sun:
Improving Node Classification by Co-training Node Pair Classification: A Novel Training Framework for General Graph Neural Networks. CoRR abs/1911.03904 (2019) - [i2]Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou:
DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog. CoRR abs/1912.08360 (2019) - 2018
- [c13]Xu Han, Pengfei Yu, Zhiyuan Liu, Maosong Sun, Peng Li:
Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention. EMNLP 2018: 2236-2245 - 2016
- [j4]Jie Zhou, Ying Cao, Xuguang Wang, Peng Li, Wei Xu:
Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation. Trans. Assoc. Comput. Linguistics 4: 371-383 (2016) - [i1]Jie Zhou, Ying Cao, Xuguang Wang, Peng Li
, Wei Xu:
Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation. CoRR abs/1606.04199 (2016) - 2014
- [c12]Peng Li, Yang Liu, Maosong Sun, Tatsuya Izuha, Dakun Zhang:
A Neural Reordering Model for Phrase-based Translation. COLING 2014: 1897-1907 - 2013
- [c11]Peng Li, Yang Liu, Maosong Sun:
An Extended GHKM Algorithm for Inducing Lambda-SCFG. AAAI 2013: 605-611 - [c10]Peng Li, Yang Liu, Maosong Sun:
Recursive Autoencoders for ITG-Based Translation. EMNLP 2013: 567-577 - 2012
- [c9]Peng Li, Yang Liu, Maosong Sun:
A Beam Search Algorithm for ITG Word Alignment. COLING (Posters) 2012: 673-682 - 2011
- [j3]Wenju Liu, Xueliang Zhang, Wei Jiang, Peng Li, Bo Xu:
Monaural voiced speech segregation based on elaborate harmonic grouping strategies. Sci. China Inf. Sci. 54(12): 2471-2480 (2011) - 2010
- [j2]Peng Li, Yong Guan, Shijin Wang, Bo Xu, Wenju Liu:
Monaural speech separation based on MAXVQ and CASA for robust speech recognition. Comput. Speech Lang. 24(1): 30-44 (2010) - [c8]Peng Li, Maosong Sun, Ping Xue:
Fast-Champollion: A Fast and Robust Sentence Alignment Algorithm. COLING (Posters) 2010: 710-718
2000 – 2009
- 2009
- [c7]Zhiyuan Liu, Peng Li, Yabin Zheng, Maosong Sun:
Clustering to Find Exemplar Terms for Keyphrase Extraction. EMNLP 2009: 257-266 - [c6]Xueliang Zhang, Wenju Liu, Peng Li, Bo Xu:
Monaural voiced speech segregation based on elaborate harmonic grouping strategy. ICASSP 2009: 4661-4664 - [c5]Xiance Si, Zhiyuan Liu, Peng Li, Qixia Jiang, Maosong Sun:
Content-based and Graph-based Tag Suggestion. DC@PKDD/ECML 2009 - 2008
- [c4]Ning Cheng, Wenju Liu, Peng Li, Bo Xu:
An effective microphone array post-filter in arbitrary environments. INTERSPEECH 2008: 439-442 - [c3]Xueliang Zhang, Wenju Liu, Peng Li, Bo Xu:
Multipitch Detection Based on Weighted Summary Correlogram. ISCSLP 2008: 362-365 - [c2]Peng Li, Fengchai Liao, Ning Cheng, Bo Xu, Wenju Liu:
Microphone Array Post-Filter Based on Auditory Filtering. ISCSLP 2008: 374-377 - 2006
- [c1]Peng Li, Yong Guan, Bo Xu, Wenju Liu:
Monaural Speech Separation Based on Computational Auditory Scene Analysis and Objective Quality Assessment of Speech. ICICIC (2) 2006: 742-745 - 2004
- [j1]Zhuo Wang, Peng Li, Shuwu Zhang, Bo Xu:
Hand-Free Speech Recognition in Adverse Environment with Microphone Arrays. J. Chin. Lang. Comput. 14(1) (2004)
Coauthor Index
aka: Juanzi Li
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