Di Niu

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 141

Top Venues

Publications

Sijia Chen, Baochun Li, Di Niu
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models. ICLR (2024)
Mingjun Zhao, Liyao Jiang, Yakun Yu, Xinmin Wang, Yi Yuan, Zheng Wei, Di Niu
DimReg: Embedding Dimension Search via Regularization for Recommender Systems. SDM (2024)
Chenglin Li, Yuanzhen Xie, Chenyun Yu, Lei Cheng, Bo Hu, Zang Li, Di Niu
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network. CoRR (2024)
Amirhosein Ghasemabadi, Muhammad Kamran Janjua, Mohammad Salameh, Chunhua Zhou, Fengyu Sun, Di Niu
CascadedGaze: Efficiency in Global Context Extraction for Image Restoration. Trans. Mach. Learn. Res. 2024 (2024)
Shengyao Lu, Bang Liu, Keith G. Mills, Jiao He, Di Niu
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time. CoRR (2024)
Amirhosein Ghasemabadi, Mohammad Salameh, Muhammad Kamran Janjua, Chunhua Zhou, Fengyu Sun, Di Niu
CascadedGaze: Efficiency in Global Context Extraction for Image Restoration. CoRR (2024)
Weidong Guo, Jiuding Yang, Kaitong Yang, Xiangyang Li, Zhuwei Rao, Yu Xu, Di Niu
Instruction Fusion: Advancing Prompt Evolution through Hybridization. ACL (1) (2024)
Keith G. Mills, Fred X. Han, Mohammad Salameh, Shengyao Lu, Chunhua Zhou, Jiao He, Fengyu Sun, Di Niu
Building Optimal Neural Architectures using Interpretable Knowledge. CoRR (2024)
Chenglong Wang, Jie Nie, Weizhi Nie, Peizhe Yin, Di Niu, Xinyue Liang, Shusong Yu
Cross-domain correlation representation for new fault categories discovery in rolling bearings. Inf. Process. Manag. 61 (2) (2024)
Qikai Lu, Di Niu, Mohammadamin Samadi Khoshkho, Baochun Li
HyperFLoRA: Federated Learning with Instantaneous Personalization. SDM (2024)
Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu
GOAt: Explaining Graph Neural Networks via Graph Output Attribution. ICLR (2024)
Jiuding Yang, Hui Liu, Weidong Guo, Zhuwei Rao, Yu Xu, Di Niu
SIFiD: Reassess Summary Factual Inconsistency Detection with LLM. CoRR (2024)
Jiuding Yang, Weidong Guo, Kaitong Yang, Xiangyang Li, Zhuwei Rao, Yu Xu, Di Niu
Optimizing and Testing Instruction-Following: Analyzing the Impact of Fine-Grained Instruction Variants on instruction-tuned LLMs. CoRR (2024)
Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu
GOAt: Explaining Graph Neural Networks via Graph Output Attribution. CoRR (2024)
Sijia Chen, Baochun Li, Di Niu
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models. CoRR (2024)
Yakun Yu, Jiuding Yang, Weidong Guo, Hui Liu, Yu Xu, Di Niu
TCR: Short Video Title Generation and Cover Selection with Attention Refinement. PAKDD (3) (2023)
Weidong Guo, Jiuding Yang, Kaitong Yang, Xiangyang Li, Zhuwei Rao, Yu Xu, Di Niu
Instruction Fusion: Advancing Prompt Evolution through Hybridization. CoRR (2023)
Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu
A General-Purpose Transferable Predictor for Neural Architecture Search. SDM (2023)
Liyao Jiang, Chenglin Li, Haolan Chen, Xiaodong Gao, Xinwang Zhong, Yang Qiu, Shani Ye, Di Niu
AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness. KDD (2023)
Liyao Jiang, Chenglin Li, Haolan Chen, Xiaodong Gao, Xinwang Zhong, Yang Qiu, Shani Ye, Di Niu
AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness. CoRR (2023)
Jiuding Yang, Jinwen Luo, Weidong Guo, Jerry Chen, Di Niu, Yu Xu
Mulco: Recognizing Chinese Nested Named Entities through Multiple Scopes. CIKM (2023)
Mingjun Zhao, Mengzhen Wang, Yinglong Ma, Di Niu, Haijiang Wu
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering. WWW (2023)
Yuchen Zhang, Mingjun Zhao, Chenglin Li, Weiyu Tou, Haolan Chen, Di Niu, Cunxiang Yin, Yancheng He, Fei Guo
Online Volume Optimization for Notifications via Long Short-Term Value Modeling. PAKDD (3) (2023)
Jiuding Yang, Yakun Yu, Di Niu, Weidong Guo, Yu Xu
ConFEDE: Contrastive Feature Decomposition for Multimodal Sentiment Analysis. ACL (1) (2023)
Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu
GENNAPE: Towards Generalized Neural Architecture Performance Estimators. AAAI (2023)
Mingjun Zhao, Yakun Yu, Xiaoli Wang, Lei Yang, Di Niu
Search-Map-Search: A Frame Selection Paradigm for Action Recognition. CoRR (2023)
Mohammad Salameh, Keith G. Mills, Negar Hassanpour, Fred X. Han, Shuting Zhang, Wei Lu, Shangling Jui, Chunhua Zhou, Fengyu Sun, Di Niu
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution. NeurIPS (2023)
Mingjun Zhao, Yakun Yu, Xiaoli Wang, Lei Yang, Di Niu
Search-Map-Search: A Frame Selection Paradigm for Action Recognition. CVPR (2023)
Yakun Yu, Mingjun Zhao, Shi-ang Qi, Feiran Sun, Baoxun Wang, Weidong Guo, Xiaoli Wang, Lei Yang, Di Niu
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis. ACL (Findings) (2023)
Jiuding Yang, Jinwen Luo, Weidong Guo, Di Niu, Yu Xu
Exploiting Hierarchically Structured Categories in Fine-grained Chinese Named Entity Recognition. ACL (Findings) (2023)
Chenglin Li, Yuanzhen Xie, Chenyun Yu, Bo Hu, Zang Li, Guoqiang Shu, Xiaohu Qie, Di Niu
One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation. WSDM (2023)
Yakun Yu, Mingjun Zhao, Shi-ang Qi, Feiran Sun, Baoxun Wang, Weidong Guo, Xiaoli Wang, Lei Yang, Di Niu
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis. CoRR (2023)
Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu
LA3: Efficient Label-Aware AutoAugment. CoRR (2023)
Yakun Yu, Shi-ang Qi, Jiuding Yang, Liyao Jiang, Di Niu
iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models. CIKM (2023)
Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin Zhang, Wei Lui, Shangling Jui, Di Niu
Reparameterization through Spatial Gradient Scaling. CoRR (2023)
Mingjun Zhao, Mengzhen Wang, Yinglong Ma, Di Niu, Haijiang Wu
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering. CoRR (2023)
Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin Zhang, Robin Luwei, Shangling Jui, Di Niu
Reparameterization through Spatial Gradient Scaling. ICLR (2023)
Jian Ma, Mingjun Zhao, Chen Chen, Ruichen Wang, Di Niu, Haonan Lu, Xiaodong Lin
GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently. CoRR (2023)
Peng Liu, Yi Liu, Rui Zhu, Linglong Kong, Bei Jiang, Di Niu
Optimal Smooth Approximation for Quantile Matrix Factorization. SDM (2023)
Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu
A General-Purpose Transferable Predictor for Neural Architecture Search. CoRR (2023)
Bahador Rashidi, Chao Gao, Shan Lu, Zhisheng Wang, Chunhua Zhou, Di Niu, Fengyu Sun
UNICO: Unified Hardware Software Co-Optimization for Robust Neural Network Acceleration. MICRO (2023)
Yakun Yu, Jiuding Yang, Weidong Guo, Hui Liu, Yu Xu, Di Niu
TCR: Short Video Title Generation and Cover Selection with Attention Refinement. CoRR (2023)
Yakun Yu, Shi-ang Qi, Jiuding Yang, Liyao Jiang, Di Niu
iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models. CoRR (2023)
Shan Lu, Mingjun Zhao, Songling Yuan, Xiaoli Wang, Lei Yang, Di Niu
BDA: Bandit-based Transferable AutoAugment. SDM (2023)
Ruoxi Li, Jie Nie, Chenglong Wang, Di Niu, Shusong Yu, Weizhi Nie, Xiangqian Ding
Unknown Fault Detection of Rolling Bearing Based on Similarity Mining of Stationary and Non-stationary Features. HCMA@MM (2023)
Ruichen Chen, Shengyao Lu, Mohamed A. Elgammal, Peter Chun, Vaughn Betz, Di Niu
VPR-Gym: A Platform for Exploring AI Techniques in FPGA Placement Optimization. FPL (2023)
Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui
AIO-P: Expanding Neural Performance Predictors beyond Image Classification. AAAI (2023)
Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. CoRR (2022)
Bang Liu, Hanlin Zhang, Linglong Kong, Di Niu
Factorizing Historical User Actions for Next-Day Purchase Prediction. ACM Trans. Web 16 (1) (2022)
Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu
LA3: Efficient Label-Aware AutoAugment. ECCV (21) (2022)
Qikai Lu, Hongwen Zhang, Husam Kinawi, Di Niu
Self-Attentive Models for Real-Time Malware Classification. IEEE Access 10 (2022)
Chenglin Li, Yuanzhen Xie, Chenyun Yu, Bo Hu, Zang li, Guoqiang Shu, Xiaohu Qie, Di Niu
One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation. CoRR (2022)
Jiuding Yang, Jinwen Luo, Weidong Guo, Jerry Chen, Di Niu, Yu Xu
Mulco: Recognizing Chinese Nested Named Entities Through Multiple Scopes. CoRR (2022)
Jiuding Yang, Weidong Guo, Bang Liu, Yakun Yu, Chaoyue Wang, Jinwen Luo, Linglong Kong, Di Niu, Zhen Wen
TAG: Toward Accurate Social Media Content Tagging with a Concept Graph. KDD (2022)
Jinwen Luo, Jiuding Yang, Weidong Guo, Chenglin Li, Di Niu, Yu Xu
MatRank: Text Re-ranking by Latent Preference Matrix. EMNLP (Findings) (2022)
Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation. WSDM (2022)
Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui
AIO-P: Expanding Neural Performance Predictors Beyond Image Classification. CoRR (2022)
Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu
GENNAPE: Towards Generalized Neural Architecture Performance Estimators. CoRR (2022)
Shengyao Lu, Bang Liu, Keith G Mills, Shangling Jui, Di Niu
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. ICLR (2022)
Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CIKM (2021)
Chenglin Li, Carrie Lu Tong, Di Niu, Bei Jiang, Xiao Zuo, Lei Cheng, Jian Xiong, Jianming Yang
Similarity Embedding Networks for Robust Human Activity Recognition. ACM Trans. Knowl. Discov. Data 15 (6) (2021)
Chenglin Li, Di Niu, Bei Jiang, Xiao Zuo, Jianming Yang
Meta-HAR: Federated Representation Learning for Human Activity Recognition. WWW (2021)
Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang
Verdi: Quality Estimation and Error Detection for Bilingual Corpora. WWW (2021)
Keith G. Mills, Mohammad Salameh, Di Niu, Fred X. Han, Seyed Saeed Changiz Rezaei, Hengshuai Yao, Wei Lu, Shuo Lian, Shangling Jui
Exploring Neural Architecture Search Space via Deep Deterministic Sampling. IEEE Access 9 (2021)
Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. CoRR (2021)
Weidong Guo, Mingjun Zhao, Lusheng Zhang, Di Niu, Jinwen Luo, Zhenhua Liu, Zhenyang Li, Jianbo Tang
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization. CoRR (2021)
Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui
Generative Adversarial Neural Architecture Search. CoRR (2021)
Mingjun Zhao, Shengli Yan, Bang Liu, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long, Weidong Guo
QBSUM: A large-scale query-based document summarization dataset from real-world applications. Comput. Speech Lang. 66 (2021)
Weidong Guo, Mingjun Zhao, Lusheng Zhang, Di Niu, Jinwen Luo, Zhenhua Liu, Zhenyang Li, Jianbo Tang
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization. ACL/IJCNLP (Findings) (2021)
Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang
Verdi: Quality Estimation and Error Detection for Bilingual. CoRR (2021)
Chenglin Li, Di Niu, Bei Jiang, Xiao Zuo, Jianming Yang
Meta-HAR: Federated Representation Learning for Human Activity Recognition. CoRR (2021)
Matthew Pietrosanu, Jueyu Gao, Linglong Kong, Bei Jiang, Di Niu
Advanced algorithms for penalized quantile and composite quantile regression. Comput. Stat. 36 (1) (2021)
Jiuding Yang, Weidong Guo, Bang Liu, Yakun Yu, Chaoyue Wang, Jinwen Luo, Linglong Kong, Di Niu, Zhen Wen
TAG: Toward Accurate Social Media Content Tagging with a Concept Graph. CoRR (2021)
Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui
Generative Adversarial Neural Architecture Search. IJCAI (2021)
Kunxun Qi, Ruoxu Wang, Qikai Lu, Xuejiao Wang, Ning Jing, Di Niu, Haolan Chen
Dual Learning for Query Generation and Query Selection in Query Feeds Recommendation. CIKM (2021)
Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. CIKM (2021)
Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation. CoRR (2021)
Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CoRR (2021)
Chenglin Li, Carrie Lu Tong, Di Niu, Bei Jiang, Xiao Zuo, Lei Cheng, Jian Xiong, Jianming Yang
Similarity Embedding Networks for Robust Human Activity Recognition. CoRR (2021)
Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui
Neural Architecture Search for Keyword Spotting. INTERSPEECH (2020)
Fred X. Han, Di Niu, Haolan Chen, Weidong Guo, Shengli Yan, Bowei Long
Meta-Learning for Query Conceptualization at Web Scale. KDD (2020)
Mingjun Zhao, Haijiang Wu, Di Niu, Xiaoli Wang
Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models. CoRR (2020)
Mingjun Zhao, Haijiang Wu, Di Niu, Xiaoli Wang
Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models. AAAI (2020)
Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui
Neural Architecture Search For Keyword Spotting. CoRR (2020)
Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. WWW (2020)
Bang Liu, Weidong Guo, Di Niu, Jinwen Luo, Chaoyue Wang, Zhen Wen, Yu Xu
GIANT: Scalable Creation of a Web-scale Ontology. CoRR (2020)
Hao Wang, Di Niu, Baochun Li
Turbo: Dynamic and Decentralized Global Analytics via Machine Learning. IEEE Trans. Parallel Distributed Syst. 31 (6) (2020)
Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. CoRR (2020)
Bang Liu, Fred X. Han, Di Niu, Linglong Kong, Kunfeng Lai, Yu Xu
Story Forest: Extracting Events and Telling Stories from Breaking News. ACM Trans. Knowl. Discov. Data 14 (3) (2020)
Bang Liu, Weidong Guo, Di Niu, Jinwen Luo, Chaoyue Wang, Zhen Wen, Yu Xu
GIANT: Scalable Creation of a Web-scale Ontology. SIGMOD Conference (2020)
Mingjun Zhao, Shengli Yan, Bang Liu, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long, Weidong Guo
QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications. CoRR (2020)
Hao Wang, Zakhary Kaplan, Di Niu, Baochun Li
Optimizing Federated Learning on Non-IID Data with Reinforcement Learning. INFOCOM (2020)
Hao Wang, Di Niu, Baochun Li
Distributed Machine Learning with a Serverless Architecture. INFOCOM (2019)
Chenglin Li, Keith G. Mills, Di Niu, Rui Zhu, Hongwen Zhang, Husam Kinawi
Android Malware Detection Based on Factorization Machine. IEEE Access 7 (2019)
Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao
Learning Diffusions without Timestamps. AAAI (2019)
Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu
Matching Article Pairs with Graphical Decomposition and Convolutions. ACL (1) (2019)
Yaochen Hu, Di Niu, Jianming Yang, Shengping Zhou
FDML: A Collaborative Machine Learning Framework for Distributed Features. KDD (2019)
Fred X. Han, Di Niu, Kunfeng Lai, Weidong Guo, Yancheng He, Yu Xu
Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network. WWW (2019)
Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu
Learning to Generate Questions by LearningWhat not to Generate. WWW (2019)
Bang Liu, Weidong Guo, Di Niu, Chaoyue Wang, Shunnan Xu, Jinghong Lin, Kunfeng Lai, Yu Xu
A User-Centered Concept Mining System for Query and Document Understanding at Tencent. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Di Niu