Peng Zhang

According to our database, Peng Zhang authored at least 27 papers between 2011 and 2024.

Collaborative distances:

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

2024

Binary-Stochasticity-Enabled Highly Efficient Neuromorphic Deep Learning Achieves Better-than-Software Accuracy.

Yang Li, Wei Wang, Ming Wang, Chunmeng Dou, Zhengyu Ma, Huihui Zhou, Peng Zhang, Nicola Lepri, Xumeng Zhang, Qing Luo, Xiaoxin Xu, Guanhua Yang, Feng Zhang, Ling Li, Daniele Ielmini, Ming Liu

Adv. Intell. Syst., January, 2024

CogVLM2: Visual Language Models for Image and Video Understanding.

Wenyi Hong, Weihan Wang, Ming Ding, Wenmeng Yu, Qingsong Lv, Yan Wang, Yean Cheng, Shiyu Huang, Junhui Ji, Zhao Xue, Lei Zhao, Zhuoyi Yang, Xiaotao Gu, Xiaohan Zhang, Guanyu Feng, Da Yin, Zihan Wang, Ji Qi, Xixuan Song, Peng Zhang, Debing Liu, Bin Xu, Juanzi Li, Yuxiao Dong, Jie Tang

CoRR, 2024

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

Aohan Zeng, Bin Xu, Bowen Wang, Chenhui Zhang, Da Yin, Diego Rojas, Guanyu Feng, Hanlin Zhao, Hanyu Lai, Hao Yu, Hongning Wang, Jiadai Sun, Jiajie Zhang, Jiale Cheng, Jiayi Gui, Jie Tang, Jing Zhang, Juanzi Li, Lei Zhao, Lindong Wu, Lucen Zhong, Mingdao Liu, Minlie Huang, Peng Zhang, Qinkai Zheng, Rui Lu, Shuaiqi Duan, Shudan Zhang, Shulin Cao, Shuxun Yang, Weng Lam Tam, Wenyi Zhao, Xiao Liu, Xiao Xia, Xiaohan Zhang, Xiaotao Gu, Xin Lv, Xinghan Liu, Xinyi Liu, Xinyue Yang, Xixuan Song, Xunkai Zhang, Yifan An, Yifan Xu, Yilin Niu, Yuantao Yang, Yueyan Li, Yushi Bai, Yuxiao Dong, Zehan Qi, Zhaoyu Wang, Zhen Yang, Zhengxiao Du, Zhenyu Hou, Zihan Wang

CoRR, 2024

APAR: LLMs Can Do Auto-Parallel Auto-Regressive Decoding.

Mingdao Liu, Aohan Zeng, Bowen Wang, Peng Zhang, Jie Tang, Yuxiao Dong

CoRR, 2024

2023

GCCAD: Graph Contrastive Coding for Anomaly Detection.

Bo Chen, Jing Zhang, Xiaokang Zhang, Yuxiao Dong, Jian Song, Peng Zhang, Kaibo Xu, Evgeny Kharlamov, Jie Tang

IEEE Trans. Knowl. Data Eng., August, 2023

OAG$_{\mathrm {know}}$ know : Self-Supervised Learning for Linking Knowledge Graphs.

Xiao Liu, Li Mian, Yuxiao Dong, Fanjin Zhang, Jing Zhang, Jie Tang, Peng Zhang, Jibing Gong, Kuansan Wang

IEEE Trans. Knowl. Data Eng., 2023

GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model.

Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Yang Yang, Hongyin Tang, Keqing He, Jiahao Liu, Jingang Wang, Shu Zhao, Peng Zhang, Jie Tang

CoRR, 2023

CogDL: A Comprehensive Library for Graph Deep Learning.

Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang

Proceedings of the ACM Web Conference 2023, 2023

WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences.

Xiao Liu, Hanyu Lai, Hao Yu, Yifan Xu, Aohan Zeng, Zhengxiao Du, Peng Zhang, Yuxiao Dong, Jie Tang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GLM-130B: An Open Bilingual Pre-trained Model.

Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, Zhiyuan Liu, Peng Zhang, Yuxiao Dong, Jie Tang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model.

Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Shu Zhao, Peng Zhang, Jie Tang

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method.

Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Shu Zhao, Peng Zhang, Jie Tang

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

VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering.

Zijun Yao, Yuanyong Chen, Xin Lv, Shulin Cao, Amy Xin, Jifan Yu, Hailong Jin, Jianjun Xu, Peng Zhang, Lei Hou, Juanzi Li

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

GLM-130B: An Open Bilingual Pre-trained Model.

Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, Peng Zhang, Yuxiao Dong, Jie Tang

CoRR, 2022

Taming the Big Data Monster: Managing Petabytes of Data with Multi-Model Databases.

Yang Chen, Feng Zhang, Yinhao Hong, Yunpeng Chai, Wei Lu, Hong Chen, Xiaoyong Du, Peipei Wang, Le Mi, Jintao Li, Xilin Tang, Yanliang Zhou, Wei Zhou, Peng Zhang, Fengyi Chen, Pengfei Li, Yu Li

Proceedings of the 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2022

OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services.

Xiao Liu, Da Yin, Jingnan Zheng, Xingjian Zhang, Peng Zhang, Hongxia Yang, Yuxiao Dong, Jie Tang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

HOSMEL: A Hot-Swappable Modularized Entity Linking Toolkit for Chinese.

Daniel Zhang-li, Jing Zhang, Jifan Yu, Xiaokang Zhang, Peng Zhang, Jie Tang, Juanzi Li

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking.

Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, Jie Tang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

CogDL: An Extensive Toolkit for Deep Learning on Graphs.

Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang

CoRR, 2021

2020

COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking.

Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, Jie Tang

CoRR, 2020

2019

XLORE2: Large-scale Cross-lingual Knowledge Graph Construction and Application.

Hailong Jin, Chengjiang Li, Jing Zhang, Lei Hou, Juanzi Li, Peng Zhang

Data Intell., 2019

Domain Adaptive Question Answering over Knowledge Base.

Yulai Yang, Lei Hou, Hailong Jin, Peng Zhang, Juanzi Li, Yi Huang, Min Hu

Proceedings of the Natural Language Processing and Chinese Computing, 2019

2015

NewsMiner: Multifaceted news analysis for event search.

Lei Hou, Juanzi Li, Zhichun Wang, Jie Tang, Peng Zhang, Ruibing Yang, Qian Zheng

Knowl. Based Syst., 2015

2014

On Modelling Non-linear Topical Dependencies.

Zhixing Li, Siqiang Wen, Juanzi Li, Peng Zhang, Jie Tang

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

XLore: A Large-scale English-Chinese Bilingual Knowledge Graph.

Zhigang Wang, Juanzi Li, Zhichun Wang, Shuangjie Li, Mingyang Li, Dongsheng Zhang, Yao Shi, Yongbin Liu, Peng Zhang, Jie Tang

Proceedings of the ISWC 2013 Posters & Demonstrations Track, 2013

Constructing City Ontology from Expert for Smart City Management.

Tong Lee Chung, Bin Xu, Peng Zhang, Yuanhua Tan, Ping Zhu, Adeli Wubulihasimu

Proceedings of the Semantic Technology - Third Joint International Conference, 2013

2011

iWeb: A Service-Oriented Web Application Framework with Service Selection over QoS and Context.

Sen Luo, Bin Xu, Kewu Sun, Yin Bai, Peng Zhang, Jiuhong Hu, Zonghui Li

Proceedings of the IEEE 8th International Conference on e-Business Engineering, 2011