Di Niu - RankMe

207 papers A* 52A 23B 5Misc 1Journal 102Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Real-Time Fault-Tolerant Constrained Control Scheme for Elastic Cable-Driven Robots. IEEE Trans. Syst. Man Cybern. Syst. Seyed Mahdi Fazeli, Adel Ameri, Amir Molaei, Amir G. Aghdam, Mohammad A. Khosravi, Di Niu
2026	J	`jnl`	CTRL: Continuous-time representation learning on temporal heterogeneous information network. Knowl. Based Syst. Chenglin Li, Yuanzhen Xie, Chenyun Yu, Junfeng Zhao, Yu Xia, Beibei Kong, Zang Li, Di Niu
2026	J	`jnl`	Dual cuts for efficiency: Streamlining NAS with train-time pruning of supernet and search space. Knowl. Based Syst. Di Niu, Hengyue Pan, Jingfei Jiang, Jinwei Xu
2026	J	`jnl`	RAISE: Requirement-Adaptive Evolutionary Refinement for Training-Free Text-to-Image Alignment. CoRR Liyao Jiang, Ruichen Chen, Chao Gao, Di Niu
2025	J	`jnl`	Applying Graph Explanation to Operator Fusion. CoRR Keith G. Mills, Muhammad Fetrat Qharabagh, Weichen Qiu, Fred X. Han, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu
2025	J	`jnl`	Can LLMs Predict Their Own Failures? Self-Awareness via Internal Circuits. CoRR Amirhosein Ghasemabadi, Di Niu
2025	J	`jnl`	DGT: Unbiased sequential recommendation via Disentangled Graph Transformer. Knowl. Based Syst. Chenglin Li, Tao Xie, Chenyun Yu, Bo Hu, Zang Li, Lei Cheng, Beibei Kong, Di Niu
2025	A	`conf`	Enhancing and Assessing Instruction-Following with Fine-Grained Instruction Variants. CIKM Jiuding Yang, Hui Liu, Weidong Guo, Yu Xu, Di Niu
2025	J	`jnl`	FP4DiT: Towards Effective Floating Point Quantization for Diffusion Transformers. CoRR Ruichen Chen, Keith G. Mills, Di Niu
2025	J	`jnl`	FP4DiT: Towards Effective Floating Point Quantization for Diffusion Transformers. Trans. Mach. Learn. Res. Ruichen Chen, Keith G. Mills, Di Niu
2025	J	`jnl`	FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting. Trans. Mach. Learn. Res. Liyao Jiang, Negar Hassanpour, Mohammad Salameh, Mohan Sai Singamsetti, Fengyu Sun, Wei Lui, Di Niu
2025	A*	`conf`	FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models. AAAI Mohammadreza Samadi, Fred X. Han, Mohammad Salameh, Hao Wu, Fengyu Sun, Chunhua Zhou, Di Niu
2025	J	`jnl`	Grounding Degradations in Natural Language for All-In-One Video Restoration. CoRR Muhammad Kamran Janjua, Amirhosein Ghasemabadi, Kunlin Zhang, Mohammad Salameh, Chao Gao, Di Niu
2025	J	`jnl`	Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence. CoRR Amirhosein Ghasemabadi, Keith G. Mills, Baochun Li, Di Niu
2025	A	`conf`	HyperGenFL: Hypernetwork-Generated Model Aggregation in Federated Learning. CIKM Jerry Chen, Qikai Lu, Ruiqing Tian, Di Niu, Baochun Li
2025	J	`jnl`	Machine Learning-Enabled Fast Prediction of GGNMOS Performance and Inverse Design for Electrostatic Discharge Applications. IEEE Access Zihan Wang, Ruichen Chen, Shengyao Lu, Ian Then, Di Niu, Xihua Wang
2025	—	`conf`	Mas-Attention: Memory-Aware Stream Processing for Attention Acceleration on Resource-constrained Edge Devices. MLSys Mohammadali Shakerdargah, Shan Lu, Chao Gao, Di Niu
2025	—	`conf`	MethaneS2CM: A Dataset for Multispectral Deep Methane Emission Detection. KDD (2) Hongxuan Liu, Juliana Y. Leung, Di Niu
2025	J	`jnl`	PerfCoder: Large Language Models for Interpretable Code Performance Optimization. CoRR Jiuding Yang, Shengyao Lu, Hongxuan Liu, Shayan Shirahmad Gale Bagi, Zahra Fazel, Tomasz Czajkowski, Di Niu
2025	A*	`conf`	PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation. AAAI Liyao Jiang, Negar Hassanpour, Mohammad Salameh, Mohammadreza Samadi, Jiao He, Fengyu Sun, Di Niu
2025	A*	`conf`	Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models. AAAI Keith G. Mills, Mohammad Salameh, Ruichen Chen, Negar Hassanpour, Wei Lu, Di Niu
2025	B	`conf`	TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution. COLING Jiuding Yang, Shengyao Lu, Weidong Guo, Xiangyang Li, Kaitong Yang, Yu Xu, Di Niu
2025	A	`conf`	Time-Series Anomaly Detection Method Based on Frequency-Domain Decoupling and Correction. ICME Di Niu, Enyuan Zhao, Jie Nie, Min Ye, Shusong Yu, Xinyue Liang
2025	A*	`conf`	TransFusion: End-to-End Transformer Acceleration via Graph Fusion and Pipelining. MICRO Linxuan Zhang, José Nelson Amaral, Di Niu
2025	J	`jnl`	TreeX: Generating Global Graphical GNN Explanations via Critical Subtree Extraction. CoRR Shengyao Lu, Jiuding Yang, Baochun Li, Di Niu
2025	J	`jnl`	iCLP: Large Language Model Reasoning with Implicit Cognition Latent Planning. CoRR Sijia Chen, Di Niu
2025	J	`jnl`	rSIM: Incentivizing Reasoning Capabilities of LLMs via Reinforced Strategy Injection. CoRR Sijia Chen, Baochun Li, Di Niu
2024	J	`jnl`	Achieving Complex Image Edits via Function Aggregation with Diffusion Models. CoRR Mohammadreza Samadi, Fred X. Han, Mohammad Salameh, Hao Wu, Fengyu Sun, Chunhua Zhou, Di Niu
2024	A*	`conf`	Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models. ICLR Sijia Chen, Baochun Li, Di Niu
2024	J	`jnl`	Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models. CoRR Sijia Chen, Baochun Li, Di Niu
2024	A*	`conf`	Building Optimal Neural Architectures Using Interpretable Knowledge. CVPR Keith G. Mills, Fred X. Han, Mohammad Salameh, Shengyao Lu, Chunhua Zhou, Jiao He, Fengyu Sun, Di Niu
2024	J	`jnl`	Building Optimal Neural Architectures using Interpretable Knowledge. CoRR Keith G. Mills, Fred X. Han, Mohammad Salameh, Shengyao Lu, Chunhua Zhou, Jiao He, Fengyu Sun, Di Niu
2024	J	`jnl`	CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network. CoRR Chenglin Li, Yuanzhen Xie, Chenyun Yu, Lei Cheng, Bo Hu, Zang Li, Di Niu
2024	J	`jnl`	CascadedGaze: Efficiency in Global Context Extraction for Image Restoration. CoRR Amirhosein Ghasemabadi, Mohammad Salameh, Muhammad Kamran Janjua, Chunhua Zhou, Fengyu Sun, Di Niu
2024	J	`jnl`	CascadedGaze: Efficiency in Global Context Extraction for Image Restoration. Trans. Mach. Learn. Res. Amirhosein Ghasemabadi, Muhammad Kamran Janjua, Mohammad Salameh, Chunhua Zhou, Fengyu Sun, Di Niu
2024	J	`jnl`	Cross-domain correlation representation for new fault categories discovery in rolling bearings. Inf. Process. Manag. Chenglong Wang, Jie Nie, Weizhi Nie, Peizhe Yin, Di Niu, Xinyue Liang, Shusong Yu
2024	A	`conf`	DimReg: Embedding Dimension Search via Regularization for Recommender Systems. SDM Mingjun Zhao, Liyao Jiang, Yakun Yu, Xinmin Wang, Yi Yuan, Zheng Wei, Di Niu
2024	A*	`conf`	EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time. ICML Shengyao Lu, Bang Liu, Keith G. Mills, Jiao He, Di Niu
2024	J	`jnl`	EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time. CoRR Shengyao Lu, Bang Liu, Keith G. Mills, Jiao He, Di Niu
2024	J	`jnl`	FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting. CoRR Liyao Jiang, Negar Hassanpour, Mohammad Salameh, Mohan Sai Singamsetti, Fengyu Sun, Wei Lu, Di Niu
2024	A*	`conf`	GOAt: Explaining Graph Neural Networks via Graph Output Attribution. ICLR Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu
2024	J	`jnl`	GOAt: Explaining Graph Neural Networks via Graph Output Attribution. CoRR Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu
2024	A	`conf`	HyperFLoRA: Federated Learning with Instantaneous Personalization. SDM Qikai Lu, Di Niu, Mohammadamin Samadi Khoshkho, Baochun Li
2024	—	`conf`	Instruction Fusion: Advancing Prompt Evolution through Hybridization. ACL (1) Weidong Guo, Jiuding Yang, Kaitong Yang, Xiangyang Li, Zhuwei Rao, Yu Xu, Di Niu
2024	A*	`conf`	Learning Truncated Causal History Model for Video Restoration. NeurIPS Amirhosein Ghasemabadi, Muhammad Kamran Janjua, Mohammad Salameh, Di Niu
2024	J	`jnl`	Learning Truncated Causal History Model for Video Restoration. CoRR Amirhosein Ghasemabadi, Muhammad Kamran Janjua, Mohammad Salameh, Di Niu
2024	J	`jnl`	MAS-Attention: Memory-Aware Stream Processing for Attention Acceleration on Resource-Constrained Edge Devices. CoRR Mohammadali Shakerdargah, Shan Lu, Chao Gao, Di Niu
2024	J	`jnl`	Optimizing and Testing Instruction-Following: Analyzing the Impact of Fine-Grained Instruction Variants on instruction-tuned LLMs. CoRR Jiuding Yang, Weidong Guo, Kaitong Yang, Xiangyang Li, Zhuwei Rao, Yu Xu, Di Niu
2024	A*	`conf`	PepRec: Progressive Enhancement of Prompting for Recommendation. EMNLP Yakun Yu, Shiang Qi, Baochun Li, Di Niu
2024	J	`jnl`	PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation. CoRR Liyao Jiang, Negar Hassanpour, Mohammad Salameh, Mohammadreza Samadi, Jiao He, Fengyu Sun, Di Niu
2024	J	`jnl`	Qua CoRR Keith G. Mills, Mohammad Salameh, Ruichen Chen, Negar Hassanpour, Wei Lu, Di Niu
2024	J	`jnl`	SIFiD: Reassess Summary Factual Inconsistency Detection with LLM. CoRR Jiuding Yang, Hui Liu, Weidong Guo, Zhuwei Rao, Yu Xu, Di Niu
2024	J	`jnl`	TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution. CoRR Jiuding Yang, Shengyao Lu, Weidong Guo, Xiangyang Li, Kaitong Yang, Yu Xu, Di Niu
2024	—	`conf`	Tuner: A New Approach For 3D Semantic Segmentation Using Federated Architecture. MetaCom Jerry Chen, Ruiqing Tian, Di Niu
2024	J	`jnl`	Unknown fault detection method for rolling bearings based on image and signal series feature fusion enhancement. Multim. Tools Appl. Di Niu, Shusong Yu, Jiali Xu, Chenglong Wang, Ruoxi Li, Xiangqian Ding
2023	A	`conf`	A General-Purpose Transferable Predictor for Neural Architecture Search. SDM Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu
2023	J	`jnl`	A General-Purpose Transferable Predictor for Neural Architecture Search. CoRR Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu
2023	A*	`conf`	AIO-P: Expanding Neural Performance Predictors beyond Image Classification. AAAI Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui
2023	A*	`conf`	AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness. KDD Liyao Jiang, Chenglin Li, Haolan Chen, Xiaodong Gao, Xinwang Zhong, Yang Qiu, Shani Ye, Di Niu
2023	J	`jnl`	AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness. CoRR Liyao Jiang, Chenglin Li, Haolan Chen, Xiaodong Gao, Xinwang Zhong, Yang Qiu, Shani Ye, Di Niu
2023	A*	`conf`	AutoGO: Automated Computation Graph Optimization for Neural Network Evolution. NeurIPS Mohammad Salameh, Keith G. Mills, Negar Hassanpour, Fred X. Han, Shuting Zhang, Wei Lu, Shangling Jui, Chunhua Zhou, Fengyu Sun, Di Niu
2023	A	`conf`	BDA: Bandit-based Transferable AutoAugment. SDM Shan Lu, Mingjun Zhao, Songling Yuan, Xiaoli Wang, Lei Yang, Di Niu
2023	A*	`conf`	CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering. WWW Mingjun Zhao, Mengzhen Wang, Yinglong Ma, Di Niu, Haijiang Wu
2023	J	`jnl`	CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering. CoRR Mingjun Zhao, Mengzhen Wang, Yinglong Ma, Di Niu, Haijiang Wu
2023	—	`conf`	ConFEDE: Contrastive Feature Decomposition for Multimodal Sentiment Analysis. ACL (1) Jiuding Yang, Yakun Yu, Di Niu, Weidong Guo, Yu Xu
2023	—	`conf`	ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis. ACL (Findings) Yakun Yu, Mingjun Zhao, Shiang Qi, Feiran Sun, Baoxun Wang, Weidong Guo, Xiaoli Wang, Lei Yang, Di Niu
2023	J	`jnl`	ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis. CoRR Yakun Yu, Mingjun Zhao, Shiang Qi, Feiran Sun, Baoxun Wang, Weidong Guo, Xiaoli Wang, Lei Yang, Di Niu
2023	—	`conf`	Exploiting Hierarchically Structured Categories in Fine-grained Chinese Named Entity Recognition. ACL (Findings) Jiuding Yang, Jinwen Luo, Weidong Guo, Di Niu, Yu Xu
2023	A*	`conf`	GENNAPE: Towards Generalized Neural Architecture Performance Estimators. AAAI Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu
2023	J	`jnl`	GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently. CoRR Jian Ma, Mingjun Zhao, Chen Chen, Ruichen Wang, Di Niu, Haonan Lu, Xiaodong Lin
2023	J	`jnl`	Instruction Fusion: Advancing Prompt Evolution through Hybridization. CoRR Weidong Guo, Jiuding Yang, Kaitong Yang, Xiangyang Li, Zhuwei Rao, Yu Xu, Di Niu
2023	J	`jnl`	LA3: Efficient Label-Aware AutoAugment. CoRR Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu
2023	A	`conf`	Mulco: Recognizing Chinese Nested Named Entities through Multiple Scopes. CIKM Jiuding Yang, Jinwen Luo, Weidong Guo, Jerry Chen, Di Niu, Yu Xu
2023	A	`conf`	One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation. WSDM Chenglin Li, Yuanzhen Xie, Chenyun Yu, Bo Hu, Zang Li, Guoqiang Shu, Xiaohu Qie, Di Niu
2023	—	`conf`	Online Volume Optimization for Notifications via Long Short-Term Value Modeling. PAKDD (3) Yuchen Zhang, Mingjun Zhao, Chenglin Li, Weiyu Tou, Haolan Chen, Di Niu, Cunxiang Yin, Yancheng He, Fei Guo
2023	A	`conf`	Optimal Smooth Approximation for Quantile Matrix Factorization. SDM Peng Liu, Yi Liu, Rui Zhu, Linglong Kong, Bei Jiang, Di Niu
2023	A*	`conf`	Reparameterization through Spatial Gradient Scaling. ICLR Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin Zhang, Robin Luwei, Shangling Jui, Di Niu
2023	J	`jnl`	Reparameterization through Spatial Gradient Scaling. CoRR Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin Zhang, Wei Lui, Shangling Jui, Di Niu
2023	A*	`conf`	Search-Map-Search: A Frame Selection Paradigm for Action Recognition. CVPR Mingjun Zhao, Yakun Yu, Xiaoli Wang, Lei Yang, Di Niu
2023	J	`jnl`	Search-Map-Search: A Frame Selection Paradigm for Action Recognition. CoRR Mingjun Zhao, Yakun Yu, Xiaoli Wang, Lei Yang, Di Niu
2023	—	`conf`	TCR: Short Video Title Generation and Cover Selection with Attention Refinement. PAKDD (3) Yakun Yu, Jiuding Yang, Weidong Guo, Hui Liu, Yu Xu, Di Niu
2023	J	`jnl`	TCR: Short Video Title Generation and Cover Selection with Attention Refinement. CoRR Yakun Yu, Jiuding Yang, Weidong Guo, Hui Liu, Yu Xu, Di Niu
2023	A*	`conf`	UNICO: Unified Hardware Software Co-Optimization for Robust Neural Network Acceleration. MICRO Bahador Rashidi, Chao Gao, Shan Lu, Zhisheng Wang, Chunhua Zhou, Di Niu, Fengyu Sun
2023	—	`conf`	Unknown Fault Detection of Rolling Bearing Based on Similarity Mining of Stationary and Non-stationary Features. HCMA@MM Ruoxi Li, Jie Nie, Chenglong Wang, Di Niu, Shusong Yu, Weizhi Nie, Xiangqian Ding
2023	B	`conf`	VPR-Gym: A Platform for Exploring AI Techniques in FPGA Placement Optimization. FPL Ruichen Chen, Shengyao Lu, Mohamed A. Elgammal, Peter Chun, Vaughn Betz, Di Niu
2023	A	`conf`	iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models. CIKM Yakun Yu, Shiang Qi, Jiuding Yang, Liyao Jiang, Di Niu
2023	J	`jnl`	iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models. CoRR Yakun Yu, Shiang Qi, Jiuding Yang, Liyao Jiang, Di Niu
2022	J	`jnl`	AIO-P: Expanding Neural Performance Predictors Beyond Image Classification. CoRR Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui
2022	J	`jnl`	Factorizing Historical User Actions for Next-Day Purchase Prediction. ACM Trans. Web Bang Liu, Hanlin Zhang, Linglong Kong, Di Niu
2022	J	`jnl`	GENNAPE: Towards Generalized Neural Architecture Performance Estimators. CoRR Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu
2022	—	`conf`	LA3: Efficient Label-Aware AutoAugment. ECCV (21) Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu
2022	—	`conf`	MatRank: Text Re-ranking by Latent Preference Matrix. EMNLP (Findings) Jinwen Luo, Jiuding Yang, Weidong Guo, Chenglin Li, Di Niu, Yu Xu
2022	J	`jnl`	Mulco: Recognizing Chinese Nested Named Entities Through Multiple Scopes. CoRR Jiuding Yang, Jinwen Luo, Weidong Guo, Jerry Chen, Di Niu, Yu Xu
2022	J	`jnl`	One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation. CoRR Chenglin Li, Yuanzhen Xie, Chenyun Yu, Bo Hu, Zang Li, Guoqiang Shu, Xiaohu Qie, Di Niu
2022	A*	`conf`	R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. ICLR Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu
2022	J	`jnl`	R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. CoRR Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu
2022	A	`conf`	RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation. WSDM Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu
2022	J	`jnl`	Self-Attentive Models for Real-Time Malware Classification. IEEE Access Qikai Lu, Hongwen Zhang, Husam Kinawi, Di Niu
2022	A*	`conf`	TAG: Toward Accurate Social Media Content Tagging with a Concept Graph. KDD Jiuding Yang, Weidong Guo, Bang Liu, Yakun Yu, Chaoyue Wang, Jinwen Luo, Linglong Kong, Di Niu, Zhen Wen
2021	J	`jnl`	Advanced algorithms for penalized quantile and composite quantile regression. Comput. Stat. Matthew Pietrosanu, Jueyu Gao, Linglong Kong, Bei Jiang, Di Niu
2021	A	`conf`	Dual Learning for Query Generation and Query Selection in Query Feeds Recommendation. CIKM Kunxun Qi, Ruoxu Wang, Qikai Lu, Xuejiao Wang, Ning Jing, Di Niu, Haolan Chen
2021	J	`jnl`	Exploring Neural Architecture Search Space via Deep Deterministic Sampling. IEEE Access Keith G. Mills, Mohammad Salameh, Di Niu, Fred X. Han, Seyed Saeed Changiz Rezaei, Hengshuai Yao, Wei Lu, Shuo Lian, Shangling Jui
2021	A*	`conf`	Generative Adversarial Neural Architecture Search. IJCAI Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui
2021	J	`jnl`	Generative Adversarial Neural Architecture Search. CoRR Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui
2021	J	`jnl`	L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CoRR Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
2021	A	`conf`	L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CIKM Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
2021	—	`conf`	LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization. ACL/IJCNLP (Findings) Weidong Guo, Mingjun Zhao, Lusheng Zhang, Di Niu, Jinwen Luo, Zhenhua Liu, Zhenyang Li, Jianbo Tang
2021	J	`jnl`	LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization. CoRR Weidong Guo, Mingjun Zhao, Lusheng Zhang, Di Niu, Jinwen Luo, Zhenhua Liu, Zhenyang Li, Jianbo Tang
2021	A*	`conf`	Meta-HAR: Federated Representation Learning for Human Activity Recognition. WWW Chenglin Li, Di Niu, Bei Jiang, Xiao Zuo, Jianming Yang
2021	J	`jnl`	Meta-HAR: Federated Representation Learning for Human Activity Recognition. CoRR Chenglin Li, Di Niu, Bei Jiang, Xiao Zuo, Jianming Yang
2021	A	`conf`	Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. CIKM Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
2021	J	`jnl`	Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. CoRR Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
2021	J	`jnl`	QBSUM: A large-scale query-based document summarization dataset from real-world applications. Comput. Speech Lang. Mingjun Zhao, Shengli Yan, Bang Liu, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long, Weidong Guo
2021	J	`jnl`	RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation. CoRR Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu
2021	J	`jnl`	Similarity Embedding Networks for Robust Human Activity Recognition. CoRR Chenglin Li, Carrie Lu Tong, Di Niu, Bei Jiang, Xiao Zuo, Lei Cheng, Jian Xiong, Jianming Yang
2021	J	`jnl`	Similarity Embedding Networks for Robust Human Activity Recognition. ACM Trans. Knowl. Discov. Data Chenglin Li, Carrie Lu Tong, Di Niu, Bei Jiang, Xiao Zuo, Lei Cheng, Jian Xiong, Jianming Yang
2021	J	`jnl`	TAG: Toward Accurate Social Media Content Tagging with a Concept Graph. CoRR Jiuding Yang, Weidong Guo, Bang Liu, Yakun Yu, Chaoyue Wang, Jinwen Luo, Linglong Kong, Di Niu, Zhen Wen
2021	A*	`conf`	Verdi: Quality Estimation and Error Detection for Bilingual Corpora. WWW Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang
2021	J	`jnl`	Verdi: Quality Estimation and Error Detection for Bilingual. CoRR Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang
2020	A*	`conf`	Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. WWW Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He
2020	J	`jnl`	Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. CoRR Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He
2020	—	`conf`	GIANT: Scalable Creation of a Web-scale Ontology. SIGMOD Conference Bang Liu, Weidong Guo, Di Niu, Jinwen Luo, Chaoyue Wang, Zhen Wen, Yu Xu
2020	J	`jnl`	GIANT: Scalable Creation of a Web-scale Ontology. CoRR Bang Liu, Weidong Guo, Di Niu, Jinwen Luo, Chaoyue Wang, Zhen Wen, Yu Xu
2020	A*	`conf`	Meta-Learning for Query Conceptualization at Web Scale. KDD Fred X. Han, Di Niu, Haolan Chen, Weidong Guo, Shengli Yan, Bowei Long
2020	J	`jnl`	Neural Architecture Search For Keyword Spotting. CoRR Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui
2020	A	`conf`	Neural Architecture Search for Keyword Spotting. INTERSPEECH Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui
2020	A*	`conf`	Optimizing Federated Learning on Non-IID Data with Reinforcement Learning. INFOCOM Hao Wang, Zakhary Kaplan, Di Niu, Baochun Li
2020	J	`jnl`	QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications. CoRR Mingjun Zhao, Shengli Yan, Bang Liu, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long, Weidong Guo
2020	A*	`conf`	Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models. AAAI Mingjun Zhao, Haijiang Wu, Di Niu, Xiaoli Wang
2020	J	`jnl`	Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models. CoRR Mingjun Zhao, Haijiang Wu, Di Niu, Xiaoli Wang
2020	J	`jnl`	Story Forest: Extracting Events and Telling Stories from Breaking News. ACM Trans. Knowl. Discov. Data Bang Liu, Fred X. Han, Di Niu, Linglong Kong, Kunfeng Lai, Yu Xu
2020	J	`jnl`	Turbo: Dynamic and Decentralized Global Analytics via Machine Learning. IEEE Trans. Parallel Distributed Syst. Hao Wang, Di Niu, Baochun Li
2019	A*	`conf`	A Deep Generative Approach to Search Extrapolation and Recommendation. KDD Fred X. Han, Di Niu, Haolan Chen, Kunfeng Lai, Yancheng He, Yu Xu
2019	A*	`conf`	A User-Centered Concept Mining System for Query and Document Understanding at Tencent. KDD Bang Liu, Weidong Guo, Di Niu, Chaoyue Wang, Shunnan Xu, Jinghong Lin, Kunfeng Lai, Yu Xu
2019	J	`jnl`	A User-Centered Concept Mining System for Query and Document Understanding at Tencent. CoRR Bang Liu, Weidong Guo, Di Niu, Chaoyue Wang, Shunnan Xu, Jinghong Lin, Kunfeng Lai, Yu Xu
2019	J	`jnl`	Android Malware Detection Based on Factorization Machine. IEEE Access Chenglin Li, Keith G. Mills, Di Niu, Rui Zhu, Hongwen Zhang, Husam Kinawi
2019	A*	`conf`	Distributed Machine Learning with a Serverless Architecture. INFOCOM Hao Wang, Di Niu, Baochun Li
2019	A*	`conf`	FDML: A Collaborative Machine Learning Framework for Distributed Features. KDD Yaochen Hu, Di Niu, Jianming Yang, Shengping Zhou
2019	A*	`conf`	Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network. WWW Fred X. Han, Di Niu, Kunfeng Lai, Weidong Guo, Yancheng He, Yu Xu
2019	A*	`conf`	Learning Diffusions without Timestamps. AAAI Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao
2019	J	`jnl`	Learning Privately over Distributed Features: An ADMM Sharing Approach. CoRR Yaochen Hu, Peng Liu, Linglong Kong, Di Niu
2019	J	`jnl`	Learning to Generate Questions by Learning What not to Generate. CoRR Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu
2019	A*	`conf`	Learning to Generate Questions by LearningWhat not to Generate. WWW Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu
2019	—	`conf`	Matching Article Pairs with Graphical Decomposition and Convolutions. ACL (1) Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu
2019	J	`jnl`	Multiresolution Graph Attention Networks for Relevance Matching. CoRR Ting Zhang, Bang Liu, Di Niu, Kunfeng Lai, Yu Xu
2019	J	`jnl`	Wide-Area Spark Streaming: Automated Routing and Batch Sizing. IEEE Trans. Parallel Distributed Syst. Wenxin Li, Di Niu, Yinan Liu, Shuhao Liu, Baochun Li
2018	J	`jnl`	A Block-wise, Asynchronous and Distributed ADMM Algorithm for General Form Consensus Optimization. CoRR Rui Zhu, Di Niu, Zongpeng Li
2018	A	`conf`	A Fast Linear Computational Framework for User Action Prediction in Tencent MyApp. CIKM Yaochen Hu, Di Niu, Jianming Yang
2018	J	`jnl`	A Model Parallel Proximal Stochastic Gradient Algorithm for Partially Asynchronous Systems. CoRR Rui Zhu, Di Niu
2018	J	`jnl`	Android Malware Detection based on Factorization Machine. CoRR Chenglin Li, Rui Zhu, Di Niu, Keith G. Mills, Hongwen Zhang, Husam Kinawi
2018	J	`jnl`	Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization. CoRR Rui Zhu, Di Niu, Zongpeng Li
2018	—	`conf`	Dynamic and Decentralized Global Analytics via Machine Learning. SoCC Hao Wang, Di Niu, Baochun Li
2018	J	`jnl`	Growing Story Forest Online from Massive Breaking News. CoRR Bang Liu, Di Niu, Kunfeng Lai, Linglong Kong, Yu Xu
2018	J	`jnl`	House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis. CoRR Bang Liu, Borislav Mavrin, Di Niu, Linglong Kong
2018	A*	`conf`	MIX: Multi-Channel Information Crossing for Text Matching. KDD Haolan Chen, Fred X. Han, Di Niu, Dong Liu, Kunfeng Lai, Chenglin Wu, Yu Xu
2018	J	`jnl`	Matching Long Text Documents via Graph Convolutional Networks. CoRR Bang Liu, Ting Zhang, Di Niu, Jinghong Lin, Kunfeng Lai, Yu Xu
2018	A*	`conf`	Matching Natural Language Sentences with Hierarchical Sentence Factorization. WWW Bang Liu, Ting Zhang, Fred X. Han, Di Niu, Kunfeng Lai, Yu Xu
2018	J	`jnl`	Matching Natural Language Sentences with Hierarchical Sentence Factorization. CoRR Bang Liu, Ting Zhang, Fred X. Han, Di Niu, Kunfeng Lai, Yu Xu
2018	A	`conf`	Multiresolution Graph Attention Networks for Relevance Matching. CIKM Ting Zhang, Bang Liu, Di Niu, Kunfeng Lai, Yu Xu
2018	J	`jnl`	Recover Fine-Grained Spatial Data from Coarse Aggregation. CoRR Bang Liu, Borislav Mavrin, Linglong Kong, Di Niu
2018	J	`jnl`	Stochastic Distributed Optimization for Machine Learning from Decentralized Features. CoRR Yaochen Hu, Di Niu, Jianming Yang
2017	J	`jnl`	Cocoa: Dynamic Container-Based Group Buying Strategies for Cloud Computing. ACM Trans. Model. Perform. Evaluation Comput. Syst. Xiaomeng Yi, Fangming Liu, Di Niu, Hai Jin, John C. S. Lui
2017	J	`jnl`	Cooper: Expedite Batch Data Dissemination in Computer Clusters with Coded Gossips. IEEE Trans. Parallel Distributed Syst. Yan Liu, Di Niu, Majid Khabbazian
2017	A*	`conf`	Expectile Matrix Factorization for Skewed Data Analysis. AAAI Rui Zhu, Di Niu, Linglong Kong, Zongpeng Li
2017	A	`conf`	Growing Story Forest Online from Massive Breaking News. CIKM Bang Liu, Di Niu, Kunfeng Lai, Linglong Kong, Yu Xu
2017	—	`conf`	Latency reduction and load balancing in coded storage systems. SoCC Yaochen Hu, Yushi Wang, Bang Liu, Di Niu, Cheng Huang
2017	J	`jnl`	Network Latency Estimation for Personal Devices: A Matrix Completion Approach. IEEE/ACM Trans. Netw. Rui Zhu, Bang Liu, Di Niu, Zongpeng Li, Hong Vicky Zhao
2017	—	`conf`	Optic Disc Detection via Deep Learning in Fundus Images. FIFI/OMIA@MICCAI Peiyuan Xu, Cheng Wan, Jun Cheng, Di Niu, Jiang Liu
2017	A*	`conf`	Optimal multicast in virtualized datacenter networks with software switches. INFOCOM Rui Zhu, Di Niu, Baochun Li, Zongpeng Li
2017	A*	`conf`	Recover Fine-Grained Spatial Data from Coarse Aggregation. ICDM Bang Liu, Borislav Mavrin, Linglong Kong, Di Niu
2017	J	`jnl`	Resource Auto-Scaling and Sparse Content Replication for Video Storage Systems. ACM Trans. Model. Perform. Evaluation Comput. Syst. Di Niu, Hong Xu, Baochun Li
2017	A*	`conf`	Robust web service recommendation via quantile matrix factorization. INFOCOM Rui Zhu, Di Niu, Zongpeng Li
2017	—	`conf`	Wide-Area Spark Streaming: Automated Routing and Batch Sizing. ICAC Wenxin Li, Di Niu, Yinan Liu, Shuhao Liu, Baochun Li
2016	J	`jnl`	A Geometric Approach to Server Selection for Interactive Video Streaming. IEEE Trans. Multim. Yaochen Hu, Di Niu, Zongpeng Li
2016	J	`jnl`	Achieving Optimal Block Pipelining in Organized Network Coded Gossip. IEEE Trans. Parallel Distributed Syst. Majid Khabbazian, Di Niu
2016	J	`jnl`	An Asynchronous Fixed-Point Algorithm for Resource Sharing With Coupled Objectives. IEEE/ACM Trans. Netw. Di Niu, Baochun Li
2016	J	`jnl`	Delay-Optimized Video Traffic Routing in Software-Defined Interdatacenter Networks. IEEE Trans. Multim. Yinan Liu, Di Niu, Baochun Li
2016	A*	`conf`	House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis. ICDM Bang Liu, Borislav Mavrin, Di Niu, Linglong Kong
2016	—	`conf`	Mitigating Routing Inefficiencies to Cloud-Storage Providers: A Case Study. IPDPS Workshops Soham Sinha, Di Niu, Zhi Wang, Paul Lu
2016	A*	`conf`	Reducing access latency in erasure coded cloud storage with local block migration. INFOCOM Yaochen Hu, Di Niu
2016	A	`conf`	Separating-Plane Factorization Models: Scalable Recommendation from One-Class Implicit Feedback. CIKM Haolan Chen, Di Niu, Kunfeng Lai, Yu Xu, Masoud Ardakani
2015	J	`jnl`	Dynamic Cloud Instance Acquisition via IaaS Cloud Brokerage. IEEE Trans. Parallel Distributed Syst. Wei Wang, Di Niu, Ben Liang, Baochun Li
2015	J	`jnl`	Heat Transfer and Friction Characteristics of the Microfluidic Heat Sink with Variously-Shaped Ribs for Chip Cooling. Sensors Gui-Lian Wang, Da-Wei Yang, Yan Wang, Di Niu, Xiao-Lin Zhao, Guifu Ding
2015	A*	`conf`	Network latency prediction for personal devices: Distance-feature decomposition from 3D sampling. INFOCOM Bang Liu, Di Niu, Zongpeng Li, H. Vicky Zhao
2014	A	`conf`	Achieving Absolutely Optimal Block Pipelining in Organized Network Coded Gossip. ICDCS Majid Khabbazian, Di Niu
2014	—	`conf`	Congestion-aware internet pricing for media streaming. INFOCOM Workshops Di Niu, Baochun Li
2014	—	`conf`	Min-cost live webcast under joint pricing of data, congestion and virtualized servers. NetGCooP Rui Zhu, Di Niu, Baochun Li
2014	B	`conf`	Server Selection and Topology Control for Multi-Party Video Conferences. NOSSDAV Shuopeng Zhang, Di Niu, Yaochen Hu, Fangming Liu
2013	A*	`conf`	An efficient distributed algorithm for resource allocation in large-scale coupled systems. INFOCOM Di Niu, Baochun Li
2013	A	`conf`	Dynamic Cloud Resource Reservation via Cloud Brokerage. ICDCS Wei Wang, Di Niu, Baochun Li, Ben Liang
2013	J	`jnl`	Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications. IEEE Wirel. Commun. Fangming Liu, Peng Shu, Hai Jin, Linjie Ding, Jie Yu, Di Niu, Bo Li
2012	A*	`conf`	A theory of cloud bandwidth pricing for video-on-demand providers. INFOCOM Di Niu, Chen Feng, Baochun Li
2012	A*	`conf`	Pricing cloud bandwidth reservations under demand uncertainty. SIGMETRICS Di Niu, Chen Feng, Baochun Li
2012	A*	`conf`	Quality-assured cloud bandwidth auto-scaling for video-on-demand applications. INFOCOM Di Niu, Hong Xu, Baochun Li, Shuqiao Zhao
2011	J	`jnl`	Analyzing the Resilience-Complexity Tradeoff of Network Coding in Dynamic P2P Networks. IEEE Trans. Parallel Distributed Syst. Di Niu, Baochun Li
2011	A*	`conf`	Asymptotic optimality of randomized peer-to-peer broadcast with network coding. INFOCOM Di Niu, Baochun Li
2011	A*	`conf`	Demand forecast and performance prediction in peer-assisted on-demand streaming systems. INFOCOM Di Niu, Zimu Liu, Baochun Li, Shuqiao Zhao
2011	J	`jnl`	Random Network Coding in Peer-to-Peer Networks: From Theory to Practice. Proc. IEEE Baochun Li, Di Niu
2011	A*	`conf`	Risk management for video-on-demand servers leveraging demand forecast. ACM Multimedia Di Niu, Hong Xu, Baochun Li, Shuqiao Zhao
2011	B	`conf`	Understanding demand volatility in large VoD systems. NOSSDAV Di Niu, Baochun Li, Shuqiao Zhao
2010	A*	`conf`	Self-diagnostic peer-assisted video streaming through a learning framework. ACM Multimedia Di Niu, Baochun Li, Shuqiao Zhao
2010	A*	`conf`	Topological Properties Affect the Power of Network Coding in Decentralized Broadcast. INFOCOM Di Niu, Baochun Li
2009	—	`conf`	Asymptotic rate limits for randomized broadcasting with network coding. Allerton Di Niu, Baochun Li
2009	—	`conf`	How P2P streaming systems scale over time under a flash crowd? IPTPS Fangming Liu, Bo Li, Lili Zhong, Baochun Li, Di Niu
2008	A	`conf`	Circumventing Server Bottlenecks: Indirect Large-Scale P2P Data Collection. ICDCS Di Niu, Baochun Li
2007	B	`conf`	On the Resilience-Complexity Tradeoff of Network Coding in Dynamic P2P Networks. IWQoS Di Niu, Baochun Li
2006	Misc	`conf`	Iterative Carrier Frequency Offset Estimation for OFDMA Uplink based on Null Subcarriers. CISS Di Niu, Xianhua Dai