Quanming Yao - RankMe

250 papers A* 73A 2B 2Journal 158Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Attention Sinks Induce Gradient Sinks. CoRR Yihong Chen, Quanming Yao
2026	J	`jnl`	Bridging Graph Structure and Knowledge-Guided Editing for Interpretable Temporal Knowledge Graph Reasoning. CoRR Shiqi Fan, Quanming Yao, Hongyi Nie, Wentao Ma, Zhen Wang, Wen Hua
2026	J	`jnl`	Bridging graph structure and knowledge-guided editing for interpretable temporal knowledge graph reasoning. Neural Networks Shiqi Fan, Quanming Yao, Hongyi Nie, Wentao Ma, Zhen Wang, Wen Hua
2026	A*	`conf`	DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation. WWW Xingyuan Zeng, Zuohan Wu, Yue Wang, Chen Zhang, Quanming Yao, Libin Zheng, Jian Yin
2026	J	`jnl`	DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation. CoRR Xingyuan Zeng, Zuohan Wu, Yue Wang, Chen Zhang, Quanming Yao, Libin Zheng, Jian Yin
2026	J	`jnl`	DGNet: Discrete Green Networks for Data-Efficient Learning of Spatiotemporal PDEs. CoRR Yingjie Tan, Quanming Yao, Yaqing Wang
2026	J	`jnl`	Distillation-based Scenario-Adaptive Mixture-of-Experts for the Matching Stage of Multi-scenario Recommendation. CoRR Ruibing Wang, Shuhan Guo, Haotong Du, Quanming Yao
2026	A*	`conf`	Efficient Reinforcement Learning for Zero-Shot Coordination in Evolving Games. AAAI Bingyu Hui, Lebin Yu, Quanming Yao, Yunpeng Qu, Xudong Zhang, Jian Wang
2026	J	`jnl`	KnowFlow: Empowering decision-making on networks with knowledge-streamlined agent. Neural Networks Xiaohan Zheng, Lanning Wei, Huan Zhao, Quanming Yao
2026	J	`jnl`	MAS-on-the-Fly: Dynamic Adaptation of LLM-based Multi-Agent Systems at Test Time. CoRR Guangyi Liu, Haojun Lin, Huan Zeng, Heng Wang, Quanming Yao
2026	J	`jnl`	Neural knowledge graph reasoning with relational digraph. Artif. Intell. Yongqi Zhang, Haiquan Qiu, Shuzhi Liu, Enjun Du, Quanming Yao
2026	J	`jnl`	PSPA-Bench: A Personalized Benchmark for Smartphone GUI Agent. CoRR Hongyi Nie, Xunyuan Liu, Yudong Bai, Yaqing Wang, Yang Liu, Quanming Yao, Zhen Wang
2026	J	`jnl`	Robust heterogeneous network representation learning by multifaceted curriculum training. Neural Networks Zhen Hao Wong, Hansi Yang, Quanming Yao, Yaqing Wang
2026	J	`jnl`	Scaling GraphLLM with Bilevel-Optimized Sparse Querying. CoRR Yangzhe Peng, Haiquan Qiu, Quanming Yao, Kun He
2026	J	`jnl`	Searching to Modulate for Cold-Start Recommendation. IEEE Trans. Pattern Anal. Mach. Intell. Shiguang Wu, Yaqing Wang, Quanming Yao
2026	J	`jnl`	Self-Generative Adversarial Fine-Tuning for Large Language Models. CoRR Shiguang Wu, Yaqing Wang, Quanming Yao
2026	J	`jnl`	Slack Federated Adversarial Training. IEEE Trans. Pattern Anal. Mach. Intell. Jianing Zhu, Bo Han, Jiangchao Yao, Quanming Yao, Tongliang Liu, Jianliang Xu
2025	J	`jnl`	Asking LLMs to Verify First is Almost Free Lunch. CoRR Shiguang Wu, Quanming Yao
2025	J	`jnl`	Attending on Multilevel Structure of Proteins enables Accurate Prediction of Cold-Start Drug-Target Interactions. CoRR Ziying Zhang, Yaqing Wang, Yuxuan Sun, Min Ye, Quanming Yao
2025	A*	`conf`	Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution. IJCAI Xiaohan Zheng, Lanning Wei, Yong Li, Quanming Yao
2025	J	`jnl`	Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution. CoRR Xiaohan Zheng, Lanning Wei, Yong Li, Quanming Yao
2025	J	`jnl`	Benchmarking drug-drug interaction prediction methods: a perspective of distribution changes. Bioinform. Zhenqian Shen, Mingyang Zhou, Yongqi Zhang, Quanming Yao
2025	J	`jnl`	Beyond scaleup: Knowledge-aware parsimony learning from deep networks. AI Mag. Quanming Yao, Yongqi Zhang, Yaqing Wang, Nan Yin, James Kwok, Qiang Yang
2025	J	`jnl`	Case-Based Reasoning Enhances the Predictive Power of LLMs in Drug-Drug Interaction. CoRR Guangyi Liu, Yongqi Zhang, Xunyuan Liu, Quanming Yao
2025	A*	`conf`	Curriculum-aware Training for Discriminating Molecular Property Prediction Models. ICLR Hansi Yang, Quanming Yao, James Kwok
2025	J	`jnl`	Dense Communication between Language Models. CoRR Shiguang Wu, Yaqing Wang, Quanming Yao
2025	—	`conf`	Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering. CPAL Guangyi Liu, Yongqi Zhang, Yong Li, Quanming Yao
2025	J	`jnl`	Efficient Latent-based Scoring Function Search for N-ary Relational Knowledge Bases. ACM Trans. Knowl. Discov. Data Shimin Di, Yongqi Zhang, Quanming Yao, Xiaofang Zhou, Lei Chen
2025	J	`jnl`	Efficient Reinforcement Learning for Zero-Shot Coordination in Evolving Games. CoRR Bingyu Hui, Lebin Yu, Quanming Yao, Yunpeng Qu, Xudong Zhang, Jian Wang
2025	A*	`conf`	Erasing Concept Combination from Text-to-Image Diffusion Model. ICLR Hongyi Nie, Quanming Yao, Yang Liu, Zhen Wang, Yatao Bian
2025	J	`jnl`	Evolutionary Discovery of Heuristic Policies for Traffic Signal Control. CoRR Ruibing Wang, Shuhan Guo, Zeen Li, Zhen Wang, Quanming Yao
2025	A*	`conf`	Explore the Disentanglement Mechanism for Deep Learning. ICDE Haiquan Qiu, Quanming Yao
2025	J	`jnl`	Flow to Candidate: Temporal Knowledge Graph Reasoning With Candidate-Oriented Relational Graph. IEEE Trans. Neural Networks Learn. Syst. Shiqi Fan, Guoxi Fan, Hongyi Nie, Quanming Yao, Yang Liu, Xuelong Li, Zhen Wang
2025	J	`jnl`	Graph Pointer Network Assisted Deep Reinforcement Learning for Virtualized Network Embedding. IEEE Trans. Green Commun. Netw. Xinglong Pei, Shuhan Guo, Yuxiang Hu, Ziyong Li, Quanming Yao, Dan Li, Jinchuan Pei, Yongji Dong
2025	J	`jnl`	Heterogeneous Graph-Based Multimodal Brain Network Learning. IEEE Trans. Knowl. Data Eng. Gen Shi, Yifan Zhu, Wenjin Liu, Quanming Yao, Xuesong Li
2025	A*	`conf`	Hierarchical Graph Tokenization for Molecule-Language Alignment. ICML Yongqiang Chen, Quanming Yao, Juzheng Zhang, James Cheng, Yatao Bian
2025	J	`jnl`	LLM-Empowered Representation Learning for Emerging Item Recommendation. CoRR Ziying Zhang, Quanming Yao, Yaqing Wang
2025	J	`jnl`	Modeling N-ary Relational Knowledge Bases with Tensor Decomposition. ACM Trans. Intell. Syst. Technol. Yu Liu, Quanming Yao, Yong Li
2025	—	`conf`	Nested-Refinement Metamorphosis: Reflective Evolution for Efficient Optimization of Networking Problems. ACL (Findings) Shuhan Guo, Nan Yin, James Kwok, Quanming Yao
2025	—	`conf`	PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching. KDD (2) Haotong Du, Yaqing Wang, Fei Xiong, Lei Shao, Ming Liu, Hao Gu, Quanming Yao, Zhen Wang
2025	J	`jnl`	PERSCEN: Learning Personalized Interaction Pattern and Scenario Preference for Multi-Scenario Matching. CoRR Haotong Du, Yaqing Wang, Fei Xiong, Lei Shao, Ming Liu, Hao Gu, Quanming Yao, Zhen Wang
2025	J	`jnl`	Reflective Paper-to-Code Reproduction Enabled by Fine-Grained Verification. CoRR Mingyang Zhou, Quanming Yao, Lun Du, Lanning Wei, Da Zheng
2025	J	`jnl`	Searching Meta Reasoning Skeleton to Guide LLM Reasoning. CoRR Ziying Zhang, Yaqing Wang, Quanming Yao
2025	J	`jnl`	Searching to extrapolate embedding for out-of-graph node representation learning. Neural Networks Zhenqian Shen, Shuhan Guo, Yan Wen, Lanning Wei, Wengang Zhang, Yuanhai Luo, Chongwu Wu, Quanming Yao
2025	J	`jnl`	Spectral Alignment as Predictor of Loss Explosion in Neural Network Training. CoRR Haiquan Qiu, You Wu, Yingjie Tan, Yaqing Wang, Quanming Yao
2025	J	`jnl`	Superpose Singular Features for Model Merging. CoRR Haiquan Qiu, You Wu, Quanming Yao
2025	A*	`conf`	Superpose Task-specific Features for Model Merging. EMNLP Haiquan Qiu, You Wu, Dong Li, Jianmin Guo, Quanming Yao
2025	—	`conf`	Think Both Ways: Teacher-Student Bidirectional Reasoning Enhances MCQ Generation and Distractor Quality. ACL (Findings) Yimiao Qiu, Yang Deng, Quanming Yao, Zhimeng Zhang, Zhiang Dong, Chang Yao, Jingyuan Chen
2025	J	`jnl`	Topology-aware tensor decomposition for meta-graph learning. CAAI Trans. Intell. Technol. Hansi Yang, Quanming Yao
2025	A*	`conf`	Unified Molecule-Text Language Model with Discrete Token Representation. IJCAI Shuhan Guo, Yatao Bian, Ruibing Wang, Nan Yin, Zhen Wang, Quanming Yao
2025	J	`jnl`	Using samples with label noise for robust continual learning. Neural Networks Hongyi Nie, Shiqi Fan, Yang Liu, Quanming Yao, Zhen Wang
2025	A*	`conf`	Why In-Context Learning Models are Good Few-Shot Learners? ICLR Shiguang Wu, Yaqing Wang, Quanming Yao
2025	J	`jnl`	Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention. CoRR Haiquan Qiu, Quanming Yao
2024	J	`jnl`	Benchmarking Graph Learning for Drug-Drug Interaction Prediction. CoRR Zhenqian Shen, Mingyang Zhou, Yongqi Zhang, Quanming Yao
2024	J	`jnl`	ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learning. CoRR Shiguang Wu, Yaqing Wang, Yatao Bian, Quanming Yao
2024	A*	`conf`	Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction. NeurIPS Haotong Du, Quanming Yao, Juzheng Zhang, Yang Liu, Zhen Wang
2024	J	`jnl`	Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction. CoRR Haotong Du, Quanming Yao, Juzheng Zhang, Yang Liu, Zhen Wang
2024	J	`jnl`	Deep Factor Learning for Accurate Brain Neuroimaging Data Analysis on Discrimination for Structural MRI and Functional MRI. IEEE Trans. Comput. Biol. Bioinform. Hengjin Ke, Dan Chen, Quanming Yao, Yunbo Tang, Jia Wu, Jessica Monaghan, Paul F. Sowman, David McAlpine
2024	J	`jnl`	Explore then Determine: A GNN-LLM Synergy Framework for Reasoning over Knowledge Graph. CoRR Guangyi Liu, Yongqi Zhang, Yong Li, Quanming Yao
2024	J	`jnl`	Generalizing Hyperedge Expansion for Hyper-relational Knowledge Graph Modeling. CoRR Yu Liu, Shu Yang, Jingtao Ding, Quanming Yao, Yong Li
2024	J	`jnl`	Graph Unitary Message Passing. CoRR Haiquan Qiu, Yatao Bian, Quanming Yao
2024	J	`jnl`	HIGHT: Hierarchical Graph Tokenization for Graph-Language Alignment. CoRR Yongqiang Chen, Quanming Yao, Juzheng Zhang, James Cheng, Yatao Bian
2024	J	`jnl`	Hamiltonian diversity: effectively measuring molecular diversity by shortest Hamiltonian circuits. J. Cheminformatics Xiuyuan Hu, Guoqing Liu, Quanming Yao, Yang Zhao, Hao Zhang
2024	A*	`conf`	Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction. KDD Juzheng Zhang, Lanning Wei, Zhen Xu, Quanming Yao
2024	J	`jnl`	Heuristic Learning with Graph Neural Networks: A Unified Framework for Link Prediction. CoRR Juzheng Zhang, Lanning Wei, Zhen Xu, Quanming Yao
2024	J	`jnl`	Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs. CoRR Quanming Yao, Yongqi Zhang, Yaqing Wang, Nan Yin, James Kwok, Qiang Yang
2024	A*	`conf`	Knowledge-Enhanced Recommendation with User-Centric Subgraph Network. ICDE Guangyi Liu, Quanming Yao, Yongqi Zhang, Lei Chen
2024	J	`jnl`	Knowledge-Enhanced Recommendation with User-Centric Subgraph Network. CoRR Guangyi Liu, Quanming Yao, Yongqi Zhang, Lei Chen
2024	A*	`conf`	Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs. ICLR Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han
2024	J	`jnl`	Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs. CoRR Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han
2024	J	`jnl`	Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks. CoRR Zhen Hao Wong, Hansi Yang, Xiaoyi Fu, Quanming Yao
2024	J	`jnl`	Neural Architecture Search for GNN-Based Graph Classification. ACM Trans. Inf. Syst. Lanning Wei, Huan Zhao, Zhiqiang He, Quanming Yao
2024	J	`jnl`	Neural Symbolic Regression of Complex Network Dynamics. CoRR Haiquan Qiu, Shuzhi Liu, Quanming Yao
2024	A*	`conf`	PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction. IJCAI Shiguang Wu, Yaqing Wang, Quanming Yao
2024	—	`conf`	Path-based Link Prediction on Hyper-relational Knowledge Graph. CAI Shuzhi Liu, Shimin Di, Jianwen Peng, Quanming Yao
2024	J	`jnl`	Property-Aware Relation Networks for Few-Shot Molecular Property Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Quanming Yao, Zhenqian Shen, Yaqing Wang, Dejing Dou
2024	—	`conf`	Relation-Entity Hybrid Learning Graph Model for Few-Shot Temporal Knowledge Graph Forecasting. DASFAA (4) Shiqi Fan, Hongyi Nie, Ruibing Wang, Quanming Yao, Haotong Du, Yang Liu, Zhen Wang
2024	A*	`conf`	Robust Communicative Multi-Agent Reinforcement Learning with Active Defense. AAAI Lebin Yu, Yunbo Qiu, Quanming Yao, Yuan Shen, Xudong Zhang, Jian Wang
2024	J	`jnl`	Searching to Exploit Memorization Effect in Deep Learning With Noisy Labels. IEEE Trans. Pattern Anal. Mach. Intell. Hansi Yang, Quanming Yao, Bo Han, James T. Kwok
2024	A*	`conf`	Towards Human-like Learning from Relational Structured Data. AAAI Quanming Yao
2024	J	`jnl`	Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models. CoRR Lanning Wei, Jun Gao, Huan Zhao, Quanming Yao
2024	A*	`conf`	Understanding Expressivity of GNN in Rule Learning. ICLR Haiquan Qiu, Yongqi Zhang, Yong Li, Quanming Yao
2024	J	`jnl`	UniMoT: Unified Molecule-Text Language Model with Discrete Token Representation. CoRR Juzheng Zhang, Yatao Bian, Yongqiang Chen, Quanming Yao
2024	A*	`conf`	Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions. KDD Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou
2024	J	`jnl`	Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions. CoRR Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou
2023	J	`jnl`	Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning. CoRR Yaqing Wang, Zaifei Yang, Quanming Yao
2023	A*	`conf`	AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning. KDD Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, Bo Han
2023	A*	`conf`	Automated 3D Pre-Training for Molecular Property Prediction. KDD Xu Wang, Huan Zhao, Wei-Wei Tu, Quanming Yao
2023	J	`jnl`	Automated 3D Pre-Training for Molecular Property Prediction. CoRR Xu Wang, Huan Zhao, Weiwei Tu, Quanming Yao
2023	J	`jnl`	Bilinear Scoring Function Search for Knowledge Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yongqi Zhang, Quanming Yao, James T. Kwok
2023	A*	`conf`	ColdNAS: Search to Modulate for User Cold-Start Recommendation. WWW Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao
2023	J	`jnl`	ColdNAS: Search to Modulate for User Cold-Start Recommendation. CoRR Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao
2023	A*	`conf`	Combating Bilateral Edge Noise for Robust Link Prediction. NeurIPS Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng, Bo Han
2023	J	`jnl`	Combating Bilateral Edge Noise for Robust Link Prediction. CoRR Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng, Bo Han
2023	A*	`conf`	Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. ICLR Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han
2023	J	`jnl`	Combating Exacerbated Heterogeneity for Robust Models in Federated Learning. CoRR Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han
2023	B	`conf`	Combining Self-Supervised and Supervised Learning with Noisy Labels. ICIP Yongqi Zhang, Hui Zhang, Quanming Yao, Jun Wan
2023	A*	`conf`	Efficient Hyper-parameter Optimization with Cubic Regularization. NeurIPS Zhenqian Shen, Hansi Yang, Yong Li, James T. Kwok, Quanming Yao
2023	J	`jnl`	Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network. CoRR Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
2023	J	`jnl`	Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network. Nat. Comput. Sci. Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
2023	J	`jnl`	Enhanced Bayesian Factorization With Variant Scale Partitioning for Multivariate Time Series Analysis. IEEE Trans. Knowl. Data Eng. Yunbo Tang, Dan Chen, Yiping Zuo, Xiaoqiang Lu, Rajiv Ranjan, Albert Y. Zomaya, Quanming Yao, Xiaoli Li
2023	J	`jnl`	Ensemble Learning for Graph Neural Networks. CoRR Zhen Hao Wong, Ling Yue, Quanming Yao
2023	J	`jnl`	Hierarchical Adaptation with Hypernetworks for Few-shot Molecular Property Prediction. CoRR Shiguang Wu, Yaqing Wang, Quanming Yao
2023	A*	`conf`	Improving Zero-Shot Coordination Performance Based on Policy Similarity. ICAPS Lebin Yu, Yunbo Qiu, Quanming Yao, Xudong Zhang, Jian Wang
2023	J	`jnl`	Improving Zero-Shot Coordination Performance Based on Policy Similarity. CoRR Lebin Yu, Yunbo Qiu, Quanming Yao, Xudong Zhang, Jian Wang
2023	A*	`conf`	Learning Symbolic Models for Graph-structured Physical Mechanism. ICLR Hongzhi Shi, Jingtao Ding, Yufan Cao, Quanming Yao, Li Liu, Yong Li
2023	A*	`conf`	Learning to Simulate Crowd Trajectories with Graph Networks. WWW Hongzhi Shi, Quanming Yao, Yong Li
2023	J	`jnl`	LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. ACM Trans. Knowl. Discov. Data Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang
2023	J	`jnl`	Logical Expressiveness of Graph Neural Network for Knowledge Graph Reasoning. CoRR Haiquan Qiu, Yongqi Zhang, Yong Li, Quanming Yao
2023	A*	`conf`	On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation. ICML Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han
2023	J	`jnl`	On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation. CoRR Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han
2023	A	`conf`	Positive-Unlabeled Node Classification with Structure-aware Graph Learning. CIKM Hansi Yang, Yongqi Zhang, Quanming Yao, James T. Kwok
2023	J	`jnl`	Positive-Unlabeled Node Classification with Structure-aware Graph Learning. CoRR Hansi Yang, Yongqi Zhang, Quanming Yao, James T. Kwok
2023	A*	`conf`	Relation-aware Ensemble Learning for Knowledge Graph Embedding. EMNLP Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
2023	J	`jnl`	Relation-aware Ensemble Learning for Knowledge Graph Embedding. CoRR Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
2023	J	`jnl`	Robust Communicative Multi-Agent Reinforcement Learning with Active Defense. CoRR Lebin Yu, Yunbo Qiu, Quanming Yao, Yuan Shen, Xudong Zhang, Jian Wang
2023	A*	`conf`	Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification. WWW Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao
2023	J	`jnl`	Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification. CoRR Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao
2023	J	`jnl`	Searching a High Performance Feature Extractor for Text Recognition Network. IEEE Trans. Pattern Anal. Mach. Intell. Hui Zhang, Quanming Yao, James T. Kwok, Xiang Bai
2023	J	`jnl`	Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks. Trans. Mach. Learn. Res. Zhen Xu, Quanming Yao, Yong Li, Qiang Yang
2023	J	`jnl`	Unleashing the Power of Graph Learning through LLM-based Autonomous Agents. CoRR Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao
2022	J	`jnl`	AutoWeird: Weird Translational Scoring Function Identified by Random Search. CoRR Hansi Yang, Yongqi Zhang, Quanming Yao
2022	J	`jnl`	Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020. Frontiers Artif. Intell. Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon
2022	J	`jnl`	Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020. CoRR Zhen Xu, Lanning Wei, Huan Zhao, Rex Ying, Quanming Yao, Wei-Wei Tu, Isabelle Guyon
2022	J	`jnl`	Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform. Patterns Zhen Xu, Sergio Escalera, Adrien Pavão, Magali Richard, Wei-Wei Tu, Quanming Yao, Huan Zhao, Isabelle Guyon
2022	J	`jnl`	DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction. CoRR Yinfeng Li, Chen Gao, Quanming Yao, Tong Li, Depeng Jin, Yong Li
2022	—	`conf`	Efficient Hyper-parameter Search for Knowledge Graph Embedding. ACL (1) Yongqi Zhang, Zhanke Zhou, Quanming Yao, Yong Li
2022	J	`jnl`	Efficient Low-Rank Semidefinite Programming With Robust Loss Functions. IEEE Trans. Pattern Anal. Mach. Intell. Quanming Yao, Hansi Yang, En-Liang Hu, James T. Kwok
2022	J	`jnl`	Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach. CoRR Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao
2022	A*	`conf`	Fast and Provable Nonconvex Tensor RPCA. ICML Haiquan Qiu, Yao Wang, Shaojie Tang, Deyu Meng, Quanming Yao
2022	J	`jnl`	Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search. CoRR Xu Wang, Huan Zhao, Lanning Wei, Quanming Yao
2022	J	`jnl`	KGTuner: Efficient Hyper-parameter Search for Knowledge Graph Learning. CoRR Yongqi Zhang, Zhanke Zhou, Quanming Yao, Yong Li
2022	A*	`conf`	Knowledge Graph Reasoning with Relational Digraph. WWW Yongqi Zhang, Quanming Yao
2022	J	`jnl`	Learning Adaptive Propagation for Knowledge Graph Reasoning. CoRR Yongqi Zhang, Zhanke Zhou, Quanming Yao, Xiaowen Chu, Bo Han
2022	J	`jnl`	Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization. CoRR Quanming Yao, Yaqing Wang, Bo Han, James T. Kwok
2022	J	`jnl`	Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization. J. Mach. Learn. Res. Quanming Yao, Yaqing Wang, Bo Han, James T. Kwok
2022	J	`jnl`	Non-Local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao, Hongyan Zhang, Liangpei Zhang
2022	—	`conf`	Search to Pass Messages for Temporal Knowledge Graph Completion. EMNLP (Findings) Zhen Wang, Haotong Du, Quanming Yao, Xuelong Li
2022	J	`jnl`	Search to Pass Messages for Temporal Knowledge Graph Completion. CoRR Zhen Wang, Haotong Du, Quanming Yao, Xuelong Li
2022	J	`jnl`	Searching a High-Performance Feature Extractor for Text Recognition Network. CoRR Hui Zhang, Quanming Yao, James T. Kwok, Xiang Bai
2022	A*	`conf`	Simplified Graph Learning for Inductive Short Text Classification. EMNLP Kaixin Zheng, Yaqing Wang, Quanming Yao, Dejing Dou
2022	—	`conf`	Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration. ECCV (19) Wei He, Quanming Yao, Naoto Yokoya, Tatsumi Uezato, Hongyan Zhang, Liangpei Zhang
2021	A*	`conf`	A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning. WWW Yaqing Wang, Quanming Yao, James T. Kwok
2021	J	`jnl`	AutoSF+: Towards Automatic Scoring Function Design for Knowledge Graph Embedding. CoRR Yongqi Zhang, Zhanke Zhou, Quanming Yao
2021	A*	`conf`	Automorphic Equivalence-aware Graph Neural Network. NeurIPS Fengli Xu, Quanming Yao, Pan Hui, Yong Li
2021	A*	`conf`	DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks. KDD Yuhui Ding, Quanming Yao, Huan Zhao, Tong Zhang
2021	A*	`conf`	Efficient Data-specific Model Search for Collaborative Filtering. KDD Chen Gao, Quanming Yao, Depeng Jin, Yong Li
2021	J	`jnl`	Efficient Data-specific Model Search for Collaborative Filtering. CoRR Chen Gao, Quanming Yao, Depeng Jin, Yong Li
2021	A*	`conf`	Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding. ICDE Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen
2021	J	`jnl`	Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding. CoRR Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen
2021	J	`jnl`	Generalizing from a Few Examples: A Survey on Few-shot Learning. ACM Comput. Surv. Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni
2021	J	`jnl`	Guest Editorial: Automated Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. Hugo Jair Escalante, Quanming Yao, Wei-Wei Tu, Nelishia Pillay, Rong Qu, Yang Yu, Neil Houlsby
2021	—	`conf`	Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification. EMNLP (1) Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou
2021	J	`jnl`	Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification. CoRR Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou
2021	J	`jnl`	Knowledge Graph Reasoning with Relational Directed Graph. CoRR Yongqi Zhang, Quanming Yao
2021	J	`jnl`	LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. CoRR Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang
2021	A	`conf`	Pooling Architecture Search for Graph Classification. CIKM Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He
2021	J	`jnl`	Pooling Architecture Search for Graph Classification. CoRR Lanning Wei, Huan Zhao, Quanming Yao, Zhiqiang He
2021	A*	`conf`	Progressive Feature Interaction Search for Deep Sparse Network. NeurIPS Chen Gao, Yinfeng Li, Quanming Yao, Depeng Jin, Yong Li
2021	A*	`conf`	Property-Aware Relation Networks for Few-Shot Molecular Property Prediction. NeurIPS Yaqing Wang, Abulikemu Abuduweili, Quanming Yao, Dejing Dou
2021	A*	`conf`	Role-Aware Modeling for N-ary Relational Knowledge Bases. WWW Yu Liu, Quanming Yao, Yong Li
2021	J	`jnl`	Role-Aware Modeling for N-ary Relational Knowledge Bases. CoRR Yu Liu, Quanming Yao, Yong Li
2021	A*	`conf`	Search to aggregate neighborhood for graph neural network. ICDE Huan Zhao, Quanming Yao, Weiwei Tu
2021	J	`jnl`	Search to aggregate neighborhood for graph neural network. CoRR Huan Zhao, Quanming Yao, Wei-Wei Tu
2021	A*	`conf`	Searching to Sparsify Tensor Decomposition for N-ary Relational Data. WWW Shimin Di, Quanming Yao, Lei Chen
2021	J	`jnl`	Searching to Sparsify Tensor Decomposition for N-ary Relational Data. CoRR Shimin Di, Quanming Yao, Lei Chen
2021	J	`jnl`	Side Information Fusion for Recommender Systems over Heterogeneous Information Network. ACM Trans. Knowl. Discov. Data Huan Zhao, Quanming Yao, Yangqiu Song, James T. Kwok, Dik Lun Lee
2021	J	`jnl`	Simple and automated negative sampling for knowledge graph embedding. VLDB J. Yongqi Zhang, Quanming Yao, Lei Chen
2021	J	`jnl`	TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction. CoRR Xiawei Guo, Yuhan Quan, Huan Zhao, Quanming Yao, Yong Li, Weiwei Tu
2021	J	`jnl`	Tensorizing Subgraph Search in the Supernet. CoRR Hansi Yang, Quanming Yao, James T. Kwok
2021	J	`jnl`	WRTRe: Weighted relative position transformer for joint entity and relation extraction. Neurocomputing Wei Zheng, Zhen Wang, Quanming Yao, Xuelong Li
2020	J	`jnl`	A Survey of Label-noise Representation Learning: Past, Present and Future. CoRR Bo Han, Quanming Yao, Tongliang Liu, Gang Niu, Ivor W. Tsang, James T. Kwok, Masashi Sugiyama
2020	A*	`conf`	Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys. KDD Rishabh Mehrotra, Ben Carterette, Yong Li, Quanming Yao, Chen Gao, James T. Kwok, Qiang Yang, Isabelle Guyon
2020	A*	`conf`	AutoSF: Searching Scoring Functions for Knowledge Graph Embedding. ICDE Yongqi Zhang, Quanming Yao, Wenyuan Dai, Lei Chen
2020	—	`conf`	AutoSTR: Efficient Backbone Search for Scene Text Recognition. ECCV (24) Hui Zhang, Quanming Yao, Mingkun Yang, Yongchao Xu, Xiang Bai
2020	J	`jnl`	Decoupling Representation and Classifier for Noisy Label Learning. CoRR Hui Zhang, Quanming Yao
2020	J	`jnl`	Efficient Backbone Search for Scene Text Recognition. CoRR Hui Zhang, Quanming Yao, Mingkun Yang, Yongchao Xu, Xiang Bai
2020	J	`jnl`	Efficient Low-Rank Matrix Learning by Factorizable Nonconvex Regularization. CoRR Yaqing Wang, Quanming Yao, James T. Kwok
2020	A*	`conf`	Efficient Neural Architecture Search via Proximal Iterations. AAAI Quanming Yao, Ju Xu, Wei-Wei Tu, Zhanxing Zhu
2020	A*	`conf`	Efficient Neural Interaction Function Search for Collaborative Filtering. WWW Quanming Yao, Xiangning Chen, James T. Kwok, Yong Li, Cho-Jui Hsieh
2020	J	`jnl`	Efficient, Simple and Automated Negative Sampling for Knowledge Graph Embedding. CoRR Yongqi Zhang, Quanming Yao, Lei Chen
2020	A*	`conf`	Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases. WWW Yu Liu, Quanming Yao, Yong Li
2020	J	`jnl`	Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases. CoRR Yu Liu, Quanming Yao, Yong Li
2020	J	`jnl`	Graph Neural Network with Automorphic Equivalence Filters. CoRR Fengli Xu, Quanming Yao, Pan Hui, Yong Li
2020	A*	`conf`	Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS Yongqi Zhang, Quanming Yao, Lei Chen
2020	J	`jnl`	Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration. CoRR Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao, Hongyan Zhang, Liangpei Zhang
2020	A*	`conf`	Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network. ICDE Hongzhi Shi, Quanming Yao, Qi Guo, Yaguang Li, Lingyu Zhang, Jieping Ye, Yong Li, Yan Liu
2020	—	`ch.`	Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction. Federated Learning Xiawei Guo, Quanming Yao, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2020	J	`jnl`	Propagation Model Search for Graph Neural Networks. CoRR Yuhui Ding, Quanming Yao, Tong Zhang
2020	A*	`conf`	SIGUA: Forgetting May Make Learning with Noisy Labels More Robust. ICML Bo Han, Gang Niu, Xingrui Yu, Quanming Yao, Miao Xu, Ivor W. Tsang, Masashi Sugiyama
2020	A*	`conf`	Searching to Exploit Memorization Effect in Learning with Noisy Labels. ICML Quanming Yao, Hansi Yang, Bo Han, Gang Niu, James Tin-Yau Kwok
2020	A*	`conf`	Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering. NeurIPS Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin
2020	J	`jnl`	Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering. CoRR Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin
2020	—	`conf`	Simplifying Architecture Search for Graph Neural Network. CIKM (Workshops) Huan Zhao, Lanning Wei, Quanming Yao
2020	J	`jnl`	Simplifying Architecture Search for Graph Neural Network. CoRR Huan Zhao, Lanning Wei, Quanming Yao
2019	J	`jnl`	Accelerated and Inexact Soft-Impute for Large-Scale Matrix and Tensor Completion. IEEE Trans. Knowl. Data Eng. Quanming Yao, James T. Kwok
2019	A*	`conf`	AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications. KDD Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2019	J	`jnl`	AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications. CoRR Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Qiang Yang, Wenyuan Dai
2019	J	`jnl`	AutoKGE: Searching Scoring Functions for Knowledge Graph Embedding. CoRR Yongqi Zhang, Quanming Yao, Wenyuan Dai, Lei Chen
2019	J	`jnl`	Differentiable Neural Architecture Search via Proximal Iterations. CoRR Quanming Yao, Ju Xu, Wei-Wei Tu, Zhanxing Zhu
2019	A*	`conf`	Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations. ICML Quanming Yao, James Tin-Yau Kwok, Bo Han
2019	J	`jnl`	Few-shot Learning: A Survey. CoRR Yaqing Wang, Quanming Yao
2019	J	`jnl`	Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers. IEEE Trans. Pattern Anal. Mach. Intell. Quanming Yao, James T. Kwok, Taifeng Wang, Tie-Yan Liu
2019	J	`jnl`	Millionaire: a hint-guided approach for crowdsourcing. Mach. Learn. Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama
2019	A*	`conf`	NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding. ICDE Yongqi Zhang, Quanming Yao, Yingxia Shao, Lei Chen
2019	J	`jnl`	Neural Recurrent Structure Search for Knowledge Graph Embedding. CoRR Yongqi Zhang, Quanming Yao, Lei Chen
2019	A*	`conf`	Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising. CVPR Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao
2019	A*	`conf`	Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction. IJCAI Quanming Yao, Xiawei Guo, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2019	A*	`conf`	Robust Learning from Noisy Side-information by Semidefinite Programming. IJCAI En-Liang Hu, Quanming Yao
2019	J	`jnl`	Robust Learning from Noisy Side-information by Semidefinite Programming. CoRR En-Liang Hu, Quanming Yao
2019	J	`jnl`	Searching for Interaction Functions in Collaborative Filtering. CoRR Quanming Yao, Xiangning Chen, James T. Kwok, Yong Li
2019	J	`jnl`	Searching to Exploit Memorization Effect in Learning from Corrupted Labels. CoRR Hansi Yang, Quanming Yao, Bo Han, Gang Niu
2019	A*	`conf`	State-Sharing Sparse Hidden Markov Models for Personalized Sequences. KDD Hongzhi Shi, Chao Zhang, Quanming Yao, Yong Li, Funing Sun, Depeng Jin
2018	J	`jnl`	Co-sampling: Training Robust Networks for Extremely Noisy Supervision. CoRR Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor W. Tsang, Masashi Sugiyama
2018	A*	`conf`	Co-teaching: Robust training of deep neural networks with extremely noisy labels. NeurIPS Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor W. Tsang, Masashi Sugiyama
2018	J	`jnl`	Learning with Heterogeneous Side Information Fusion for Recommender Systems. CoRR Huan Zhao, Quanming Yao, Yangqiu Song, James T. Kwok, Dik Lun Lee
2018	J	`jnl`	Millionaire: A Hint-guided Approach for Crowdsourcing. CoRR Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama
2018	J	`jnl`	NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding. CoRR Yongqi Zhang, Quanming Yao, Yingxia Shao, Lei Chen
2018	J	`jnl`	Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising. CoRR Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao
2018	A*	`conf`	Online Convolutional Sparse Coding with Sample-Dependent Dictionary. ICML Yaqing Wang, Quanming Yao, James Tin-Yau Kwok, Lionel M. Ni
2018	J	`jnl`	Online Convolutional Sparse Coding with Sample-Dependent Dictionary. CoRR Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni
2018	J	`jnl`	Privacy-preserving Transfer Learning for Knowledge Sharing. CoRR Xiawei Guo, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
2018	J	`jnl`	Scalable Online Convolutional Sparse Coding. IEEE Trans. Image Process. Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni
2018	A*	`conf`	Scalable Robust Matrix Factorization with Nonconvex Loss. NeurIPS Quanming Yao, James T. Kwok
2018	J	`jnl`	Scalable Tensor Completion with Nonconvex Regularization. CoRR Quanming Yao
2018	J	`jnl`	Taking Human out of Learning Applications: A Survey on Automated Machine Learning. CoRR Quanming Yao, Mengshuo Wang, Hugo Jair Escalante, Isabelle Guyon, Yi-Qi Hu, Yufeng Li, Wei-Wei Tu, Qiang Yang, Yang Yu
2017	J	`jnl`	Accelerated and Inexact Soft-Impute for Large-Scale Matrix and Tensor Completion. CoRR Quanming Yao, James T. Kwok
2017	A*	`conf`	Collaborative Filtering with Social Local Models. ICDM Huan Zhao, Quanming Yao, James T. Kwok, Dik Lun Lee
2017	A*	`conf`	Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems. IJCAI Quanming Yao, James T. Kwok, Fei Gao, Wei Chen, Tie-Yan Liu
2017	J	`jnl`	Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity. J. Mach. Learn. Res. Quanming Yao, James T. Kwok
2017	J	`jnl`	Efficient Robust Matrix Factorization with Nonconvex Penalties. CoRR Quanming Yao
2017	A*	`conf`	Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm. AAAI Xiawei Guo, Quanming Yao, James Tin-Yau Kwok
2017	J	`jnl`	Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers. CoRR Quanming Yao, James T. Kwok, Taifeng Wang, Tie-Yan Liu
2017	—	`conf`	Loss-aware Binarization of Deep Networks. ICLR (Poster) Lu Hou, Quanming Yao, James T. Kwok
2017	A*	`conf`	Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks. KDD Huan Zhao, Quanming Yao, Jianda Li, Yangqiu Song, Dik Lun Lee
2017	J	`jnl`	Online Convolutional Sparse Coding. CoRR Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni
2017	J	`jnl`	Social Recommendation With Local Low Rank Matrix Approximation. CoRR Huan Zhao, Quanming Yao, Dik Lun Lee
2017	J	`jnl`	VISTopic: A visual analytics system for making sense of large document collections using hierarchical topic modeling. Vis. Informatics Yi Yang, Quanming Yao, Huamin Qu
2017	B	`conf`	Zero-shot learning with a partial set of observed attributes. IJCNN Yaqing Wang, James T. Kwok, Quanming Yao, Lionel M. Ni
2016	A*	`conf`	Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity. ICML Quanming Yao, James T. Kwok
2016	J	`jnl`	Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity. CoRR Quanming Yao, James T. Kwok
2016	J	`jnl`	Fast Learning with Nonconvex L1-2 Regularization. CoRR Quanming Yao, James T. Kwok
2016	A*	`conf`	Greedy Learning of Generalized Low-Rank Models. IJCAI Quanming Yao, James T. Kwok
2016	J	`jnl`	Learning of Generalized Low-Rank Models: A Greedy Approach. CoRR Quanming Yao, James T. Kwok
2016	J	`jnl`	Loss-aware Binarization of Deep Networks. CoRR Lu Hou, Quanming Yao, James T. Kwok
2015	A*	`conf`	Accelerated Inexact Soft-Impute for Fast Large-Scale Matrix Completion. IJCAI Quanming Yao, James T. Kwok
2015	A*	`conf`	Colorization by Patch-Based Local Low-Rank Matrix Completion. AAAI Quanming Yao, James T. Kwok
2015	A*	`conf`	Fast Low-Rank Matrix Learning with Nonconvex Regularization. ICDM Quanming Yao, James T. Kwok, Wenliang Zhong
2015	J	`jnl`	Fast Low-Rank Matrix Learning with Nonconvex Regularization. CoRR Quanming Yao, James Tin-Yau Kwok, Wenliang Zhong
2012	—	`conf`	Efficient Group Learning with Hypergraph Partition in Multi-task Learning. CCPR Quanming Yao, Xiubao Jiang, Mingming Gong, Xinge You, Yu Liu, Duanquan Xu