Peng Zhang

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All published works

Action	Title	Year	Authors
+ PDF Chat	Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text Retrieval	2024	Gangyan Zeng Yuan Zhang Jin Wei Dongbao Yang Peng Zhang Yiwen Gao Xugong Qin Yu Zhou
+	Recommendation Unlearning via Matrix Correction	2023	Jiahao Liu Dongsheng Li Hansu Gu Tun Lu Jiongran Wu Peng Zhang Li Shang Ning Gu
+	AutoSeqRec: Autoencoder for Efficient Sequential Recommendation	2023	Sijia Liu Jiahao Liu Hansu Gu Dongsheng Li Tun Lu Peng Zhang Ning Gu
+ PDF Chat	AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query	2022	Zepeng Huai Zhe Wang Yifan Zhu Peng Zhang
+	Path-based Deep Network for Candidate Item Matching in Recommenders	2021	Houyi Li Zhihong Chen Chenliang Li Rong Xiao Hongbo Deng Peng Zhang Yongchao Liu Haihong Tang
+	KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge	2020	Peng Zhang Jianye Hao Weixun Wang Hongyao Tang Yi Ma Yihai Duan Yan Zheng
+	CODE: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking	2020	Bo Chen Jing Zhang Xiaokang Zhang Xiaobin Tang Lingfan Cai Hong Chen Cuiping Li Peng Zhang Jie Tang
+	Encoding word order in complex embeddings	2019	Benyou Wang Donghao Zhao Christina Lioma Qiuchi Li Peng Zhang Jakob Grue Simonsen
+ PDF Chat	A Generalized Language Model in Tensor Space	2019	Lipeng Zhang Peng Zhang Xindian Ma Shuqin Gu Zhan Su Dawei Song
+	A Generalized Language Model in Tensor Space	2019	Lipeng Zhang Peng Zhang Xindian Ma Shuqin Gu Zhan Su Dawei Song
+	MarlRank: Multi-agent Reinforced Learning to Rank	2019	Shihao Zou Zhonghua Li Mohammad Akbari Jun Wang Peng Zhang
+ PDF Chat	A Quantum Many-body Wave Function Inspired Language Modeling Approach	2018	Peng Zhang Zhan Su Lipeng Zhang Benyou Wang Dawei Song
+	The 2017 AIBIRDS Competition	2018	Matthew Stephenson Jochen Renz Xiaoyu Ge Peng Zhang
+	The 2017 AIBIRDS Competition	2018	Matthew Stephenson Jochen Renz Xiaoyu Ge Peng Zhang
+ PDF Chat	IRGAN	2017	Jun Wang Lantao Yu Weinan Zhang Yu Gong Yinghui Xu Benyou Wang Peng Zhang Dell Zhang
+	Further Theoretical Study of Distribution Separation Method for Information Retrieval	2015	Peng Zhang Qian Yu Yuexian Hou Dawei Song Jingfei Li Bin Hu

Common Coauthors

Coauthor	Papers Together
Dawei Song	4
Benyou Wang	3
Zhan Su	3
Lipeng Zhang	3
Hansu Gu	2
Tun Lu	2
Jiahao Liu	2
Matthew Stephenson	2
Xindian Ma	2
Jun Wang	2
Shuqin Gu	2
Xiaoyu Ge	2
Jochen Renz	2
Ning Gu	2
Dongsheng Li	2
Yu Zhou	1
Lantao Yu	1
Lingfan Cai	1
Houyi Li	1
Weixun Wang	1
Yan Zheng	1
Zepeng Huai	1
Weinan Zhang	1
Sijia Liu	1
Jing Zhang	1
Bin Hu	1
Zhonghua Li	1
Zhe Wang	1
Xiaokang Zhang	1
Hong Chen	1
Bo Chen	1
Zhihong Chen	1
Yongchao Liu	1
Cuiping Li	1
Jin Wei	1
Chenliang Li	1
Yuexian Hou	1
Yu Gong	1
Yi Ma	1
Haihong Tang	1
Hongbo Deng	1
Donghao Zhao	1
Hongyao Tang	1
Xiaobin Tang	1
Jiongran Wu	1
Jie Tang	1
Yiwen Gao	1
Mohammad Akbari	1
Yinghui Xu	1
Jingfei Li	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Distributed Representations of Words and Phrases and their Compositionality	2013	Tomáš Mikolov Ilya Sutskever Kai Chen Greg S. Corrado Jay B. Dean	2
+	Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design	2017	Yoav Levine David Yakira Nadav Cohen Amnon Shashua	2
+ PDF Chat	Deep Interest Network for Click-Through Rate Prediction	2018	Guorui Zhou Xiaoqiang Zhu Chenru Song Ying Fan Zhu Han Xiao Ma Yanghui Yan Junqi Jin Han Li Kun Gai	2
+	On the Expressive Power of Deep Learning: A Tensor Analysis	2015	Nadav Cohen Or Sharir Amnon Shashua	2
+	Exploring the Limits of Language Modeling	2016	Rafał Józefowicz Oriol Vinyals Mike Schuster Noam Shazeer Yonghui Wu	2
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	2
+	Recurrent Neural Network Regularization	2014	Wojciech Zaremba Ilya Sutskever Oriol Vinyals	2
+ PDF Chat	Tensor space model for document analysis	2006	Deng Cai Xiaofei He Jiawei Han	2
+	On the Expressive Power of Deep Learning: A Tensor Analysis	2015	Nadav Cohen Or Sharir Amnon Shashua	2
+	Convolutional Neural Networks for Sentence Classification	2014	Yoon Kim	2
+ PDF Chat	A Quantum Many-body Wave Function Inspired Language Modeling Approach	2018	Peng Zhang Zhan Su Lipeng Zhang Benyou Wang Dawei Song	2
+	Distributed Representations of Words and Phrases and their Compositionality	2013	Tomáš Mikolov Ilya Sutskever Kai Chen Greg S. Corrado Jeffrey Dean	2
+	Attentive Pooling Networks	2016	Cícero Nogueira dos Santos Ming Tan Bing Xiang Bowen Zhou	2
+	BPR: Bayesian Personalized Ranking from Implicit Feedback	2012	Steffen Rendle Christoph Freudenthaler Zeno Gantner Lars Schmidt-Thieme	1
+ PDF Chat	AI Researchers, Video Games Are Your Friends!	2016	Julian Togelius	1
+	Conditional Generative Adversarial Nets	2014	Mehdi Mirza Simon Osindero	1
+ PDF Chat	Fast Matrix Factorization for Online Recommendation with Implicit Feedback	2016	Xiangnan He Hanwang Zhang Min‐Yen Kan Tat‐Seng Chua	1
+	Modeling Relational Information in Question-Answer Pairs with Convolutional Neural Networks	2016	Aliaksei Severyn Alessandro Moschitti	1
+	Recurrent Batch Normalization	2016	Tim Cooijmans Nicolas Ballas César Laurent Çaǧlar Gülçehre Aaron Courville	1
+	Thirteen Ways to Look at the Correlation Coefficient	1988	Joseph Lee Rodgers W. Alan Nicewander	1
+ PDF Chat	A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations	2016	Shengxian Wan Yanyan Lan Jiafeng Guo Jun Xu Liang Pang Xueqi Cheng	1
+	Learning from Demonstrations for Real World Reinforcement Learning	2017	Todd Hester Matej Vecerík Olivier Pietquin Marc Lanctot Tom Schaul Bilal Piot Andrew Sendonaris Gabriel Dulac-Arnold Ian Osband John Agapiou	1
+	Deep Complex Networks	2017	Chiheb Trabelsi Olexa Bilaniuk Ying Zhang Dmitriy Serdyuk Sandeep Subramanian João Felipe Santos Soroush Mehri Negar Rostamzadeh Yoshua Bengio Christopher Pal	1
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	1
+	Support vector learning for ordinal regression	1999	Ralf Herbrich	1
+	ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning	2016	Michał Kempka Marek Wydmuch Grzegorz Runc Jakub Toczek Wojciech Jaśkowski	1
+	Unsupervised Learning of Sentence Embeddings Using Compositional n-Gram Features	2018	Matteo Pagliardini Prakhar Gupta Martin Jaggi	1
+	Linguistic Input Features Improve Neural Machine Translation	2016	Rico Sennrich Barry Haddow	1
+	Edinburgh Neural Machine Translation Systems for WMT 16	2016	Rico Sennrich Barry Haddow Alexandra Birch	1
+ PDF Chat	Solving the quantum many-body problem with artificial neural networks	2017	Giuseppe Carleo Matthias Troyer	1
+ PDF Chat	ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs	2016	Wenpeng Yin Hinrich Schütze Bing Xiang Bowen Zhou	1
+	Tensor Decompositions and Applications	2009	Tamara G. Kolda Brett W. Bader	1
+ PDF Chat	A Bayesian Ensemble Regression Framework on the Angry Birds Game	2015	Nikolaos Tziortziotis Georgios Papagiannis Konstantinos Blekas	1
+ PDF Chat	Quantum machine learning	2017	Jacob Biamonte Péter Wittek Nicola Pancotti Patrick Rebentrost Nathan Wiebe Seth Lloyd	1
+ PDF Chat	Looking at Vector Space and Language Models for IR Using Density Matrices	2014	Alessandro Sordoni Jian‐Yun Nie	1
+ PDF Chat	Product-Based Neural Networks for User Response Prediction	2016	Yanru Qu Han Cai Kan Ren Weinan Zhang Yong Yu Ying Wen Jun Wang	1
+	Dual Learning for Machine Translation	2016	Di He Yingce Xia Tao Qin Liwei Wang Nenghai Yu Tie‐Yan Liu Wei‐Ying Ma	1
+ PDF Chat	A Generic Coordinate Descent Framework for Learning from Implicit Feedback	2017	Immanuel Bayer Xiangnan He Bhargav Kanagal Steffen Rendle	1
+	NIPS 2016 Tutorial: Generative Adversarial Networks	2017	Ian Goodfellow	1
+	DeepFM: A Factorization-Machine based Neural Network for CTR Prediction	2017	Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li Xiuqiang He	1
+	How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?	2015	Ferenc Huszár	1
+	Neural Collaborative Filtering	2017	Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu Tat‐Seng Chua	1
+	Tensor-Train Decomposition	2011	Ivan Oseledets	1
+	Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design	2017	Yoav Levine David Yakira Nadav Cohen Amnon Shashua	1
+	Supervised Learning of Universal Sentence Representations from Natural Language Inference Data	2017	Alexis Conneau Douwe Kiela Holger Schwenk Loïc Barrault Antoine Bordes	1
+	When Will AI Exceed Human Performance? Evidence from AI Experts	2017	Katja Grace John Salvatier Allan Dafoe Baobao Zhang Owain Evans	1
+ PDF Chat	A Deep Relevance Matching Model for Ad-hoc Retrieval	2016	Jiafeng Guo Yixing Fan Qingyao Ai W. Bruce Croft	1
+	Multiplicative LSTM for sequence modelling	2016	Ben Krause Liang Lu Iain Murray Steve Renals	1
+	Convolutional Neural Network Architectures for Matching Natural Language Sentences	2015	Baotian Hu Zhengdong Lu Hang Li Qingcai Chen	1
+	Bag of Tricks for Efficient Text Classification	2016	Armand Joulin Édouard Grave Piotr Bojanowski Tomáš Mikolov	1