Zaiqiao Meng - RankMe

137 papers A* 17A 11C 1Misc 1Journal 80Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EvoIdeator: Evolving Scientific Ideas through Checklist-Grounded Reinforcement Learning. CoRR Andreas Sauter, Yuyue Zhao, Jacopo Urbani, Wenxiang Hu, Zaiqiao Meng, Lun Zhou, Xiaohui Yan, Yougang Lyu
2026	J	`jnl`	EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery. CoRR Yougang Lyu, Xi Zhang, Xinhao Yi, Yuyue Zhao, Shuyu Guo, Wenxiang Hu, Jan Piotrowski, Jakub Kaliski, Jacopo Urbani, Zaiqiao Meng, Lun Zhou, Xiaohui Yan
2026	J	`jnl`	Failure Modes in Multi-Hop QA: The Weakest Link Law and the Recognition Bottleneck. CoRR Meiru Zhang, Zaiqiao Meng, Nigel Collier
2026	—	`ed.`	Knowledge-Enhanced Information Retrieval - Second International Workshop, KEIR 2025, Lucca, Italy, April 10, 2025, Revised Selected Papers KEIR Zihan Wang, Jinyuan Fang, Giacomo Frisoni, Zhuyun Dai, Zaiqiao Meng, Gianluca Moro, Emine Yilmaz
2025	J	`jnl`	A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems. CoRR Jinyuan Fang, Yanwen Peng, Xi Zhang, Yingxu Wang, Xinhao Yi, Guibin Zhang, Yi Xu, Bin Wu, Siwei Liu, Zihao Li, Zhaochun Ren, Nikos Aletras, Xi Wang, Han Zhou, Zaiqiao Meng
2025	—	`conf`	Am I on the Right Track? What Can Predicted Query Performance Tell Us about the Search Behaviour of Agentic RAG. IR-RAG@SIGIR Fangzheng Tian, Jinyuan Fang, Debasis Ganguly, Zaiqiao Meng, Craig Macdonald
2025	J	`jnl`	Am I on the Right Track? What Can Predicted Query Performance Tell Us about the Search Behaviour of Agentic RAG. CoRR Fangzheng Tian, Jinyuan Fang, Debasis Ganguly, Zaiqiao Meng, Craig Macdonald
2025	J	`jnl`	CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decoding. CoRR Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond S. L. Ho
2025	—	`conf`	Can We Edit LLMs for Long-Tail Biomedical Knowledge? EMNLP (Findings) Xinhao Yi, Jake Lever, Kevin Bryson, Zaiqiao Meng
2025	J	`jnl`	Can We Edit LLMs for Long-Tail Biomedical Knowledge? CoRR Xinhao Yi, Jake Lever, Kevin Bryson, Zaiqiao Meng
2025	A*	`conf`	Constructing and Evaluating Declarative RAG Pipelines in PyTerrier. SIGIR Craig Macdonald, Jinyuan Fang, Andrew Parry, Zaiqiao Meng
2025	J	`jnl`	Constructing and Evaluating Declarative RAG Pipelines in PyTerrier. CoRR Craig Macdonald, Jinyuan Fang, Andrew Parry, Zaiqiao Meng
2025	A*	`conf`	Decision-Aware Preference Modeling for Multi-Behavior Recommendation. IJCAI Qingfeng Li, Wei Liu, Zaiqiao Meng, Jian Yin
2025	—	`conf`	EvoAgentX: An Automated Framework for Evolving Agentic Workflows. EMNLP (System Demonstrations) Yingxu Wang, Siwei Liu, Jinyuan Fang, Zaiqiao Meng
2025	J	`jnl`	EvoAgentX: An Automated Framework for Evolving Agentic Workflows. CoRR Yingxu Wang, Siwei Liu, Jinyuan Fang, Zaiqiao Meng
2025	—	`conf`	FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction. EMNLP (Findings) Zhaohan Meng, Zaiqiao Meng, Ke Yuan, Iadh Ounis
2025	J	`jnl`	Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports. CoRR Francesco Dalla Serra, Patrick Schrempf, Chaoyang Wang, Zaiqiao Meng, Fani Deligianni, Alison Q. O'Neil
2025	—	`conf`	I Know About "Up"! Enhancing Spatial Reasoning in Visual Language Models Through 3D Knowledge Reconstruction. KEIR Hao Zhou, Zaiqiao Meng, Yifang Chen
2025	—	`conf`	KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval. ECIR (5) Zihan Wang, Jinyuan Fang, Giacomo Frisoni, Zhuyun Dai, Zaiqiao Meng, Gianluca Moro, Emine Yilmaz
2025	J	`jnl`	KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval. CoRR Zihan Wang, Jinyuan Fang, Giacomo Frisoni, Zhuyun Dai, Zaiqiao Meng, Gianluca Moro, Emine Yilmaz
2025	—	`conf`	KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation. ACL (1) Jinyuan Fang, Zaiqiao Meng, Craig Macdonald
2025	J	`jnl`	KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation. CoRR Jinyuan Fang, Zaiqiao Meng, Craig Macdonald
2025	—	`conf`	Libra: Leveraging Temporal Images for Biomedical Radiology Analysis. ACL (Findings) Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond S. L. Ho
2025	—	`conf`	RadEval: A framework for radiology text evaluation. EMNLP (System Demonstrations) Justin Xu, Xi Zhang, Javid Abderezaei, Julie Bauml, Roger Boodoo, Fatemeh Haghighi, Ali Ganjizadeh, Eric Brattain, Dave Van Veen, Zaiqiao Meng, David W. Eyre, Jean-Benoit Delbrouck
2025	J	`jnl`	RadEval: A framework for radiology text evaluation. CoRR Justin Xu, Xi Zhang, Javid Abderezaei, Julie Bauml, Roger Boodoo, Fatemeh Haghighi, Ali Ganjizadeh, Eric Brattain, Dave Van Veen, Zaiqiao Meng, David Eyre, Jean-Benoit Delbrouck
2025	J	`jnl`	SEW: Self-Evolving Agentic Workflows for Automated Code Generation. CoRR Siwei Liu, Jinyuan Fang, Han Zhou, Yingxu Wang, Zaiqiao Meng
2025	A	`conf`	T-Retrievability: A Topic-Focused Approach to Measure Fair Document Exposure in Information Retrieval. CIKM Xuejun Chang, Zaiqiao Meng, Debasis Ganguly
2025	J	`jnl`	T-Retrievability: A Topic-Focused Approach to Measure Fair Document Exposure in Information Retrieval. CoRR Xuejun Chang, Zaiqiao Meng, Debasis Ganguly
2025	—	`conf`	Time to Revisit Exact Match. EMNLP (Findings) Auss Abbood, Zaiqiao Meng, Nigel Collier
2025	J	`jnl`	Time to Revist Exact Match. CoRR Auss Abbood, Zaiqiao Meng, Nigel Collier
2025	J	`jnl`	Triplet-Structured Knowledge Integration for Multi-Turn Medical Reasoning. CoRR Zhaohan Meng, Zaiqiao Meng, Siwei Liu, Iadh Ounis
2024	J	`jnl`	Attention Instruction: Amplifying Attention in the Middle via Prompting. CoRR Meiru Zhang, Zaiqiao Meng, Nigel Collier
2024	A*	`conf`	BAND: Biomedical Alert News Dataset. AAAI Zihao Fu, Meiru Zhang, Zaiqiao Meng, Yannan Shen, David L. Buckeridge, Nigel Collier
2024	J	`jnl`	BPP: a platform for automatic biochemical pathway prediction. Briefings Bioinform. Xinhao Yi, Siwei Liu, Yu Wu, Douglas McCloskey, Zaiqiao Meng
2024	A	`conf`	CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion. ECAI Zijun Long, Lipeng Zhuang, George Killick, Zaiqiao Meng, Richard McCreadie, Gerardo Aragon-Camarasa
2024	J	`jnl`	CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion. CoRR Zijun Long, George Killick, Lipeng Zhuang, Gerardo Aragon-Camarasa, Zaiqiao Meng, Richard McCreadie
2024	A*	`conf`	CLEX: Continuous Length Extrapolation for Large Language Models. ICLR Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing
2024	—	`conf`	Can We Instruct LLMs to Compensate for Position Bias? EMNLP (Findings) Meiru Zhang, Zaiqiao Meng, Nigel Collier
2024	J	`jnl`	Dynamic Co-Embedding Model for Temporal Attributed Networks. IEEE Trans. Neural Networks Learn. Syst. Shaowei Tang, Zaiqiao Meng, Shangsong Liang
2024	J	`jnl`	Enhancing Graph Neural Networks via Memorized Global Information. ACM Trans. Web Ruihong Zeng, Jinyuan Fang, Siwei Liu, Zaiqiao Meng, Shangsong Liang
2024	J	`jnl`	FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction. CoRR Zhaohan Meng, Zaiqiao Meng, Iadh Ounis
2024	—	`conf`	Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation. BioNLP@ACL Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond S. L. Ho
2024	J	`jnl`	Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation. CoRR Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond S. L. Ho
2024	J	`jnl`	Heterogeneous Graph Contrastive Learning With Metapath-Based Augmentations. IEEE Trans. Emerg. Top. Comput. Intell. Xiaoru Chen, Yingxu Wang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
2024	J	`jnl`	Heterogeneous biomedical entity representation learning for gene-disease association prediction. Briefings Bioinform. Zhaohan Meng, Siwei Liu, Shangsong Liang, Bhautesh Jani, Zaiqiao Meng
2024	J	`jnl`	I Know About "Up"! Enhancing Spatial Reasoning in Visual Language Models Through 3D Reconstruction. CoRR Zaiqiao Meng, Hao Zhou, Yifang Chen
2024	—	`conf`	KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval. ECIR (5) Zaiqiao Meng, Shangsong Liang, Xin Xin, Gianluca Moro, Evangelos Kanoulas, Emine Yilmaz
2024	J	`jnl`	Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. ACM Comput. Surv. Jiahang Cao, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
2024	Misc	`conf`	LaCViT: A Label-Aware Contrastive Fine-Tuning Framework for Vision Transformers. ICASSP Zijun Long, Richard McCreadie, Gerardo Aragon-Camarasa, Zaiqiao Meng
2024	J	`jnl`	Libra: Leveraging Temporal Images for Biomedical Radiology Analysis. CoRR Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond S. L. Ho
2024	J	`jnl`	Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications. ACM Trans. Multim. Comput. Commun. Appl. Muhammad Arslan Manzoor, Sarah Albarri, Ziting Xian, Zaiqiao Meng, Preslav Nakov, Shangsong Liang
2024	J	`jnl`	On the Structural Memory of LLM Agents. CoRR Ruihong Zeng, Jinyuan Fang, Siwei Liu, Zaiqiao Meng
2024	—	`conf`	REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation. ACL (1) Jinyuan Fang, Zaiqiao Meng, Craig Macdonald
2024	—	`conf`	TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation. EMNLP (Findings) Jinyuan Fang, Zaiqiao Meng, Craig Macdonald
2024	J	`jnl`	TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation. CoRR Jinyuan Fang, Zaiqiao Meng, Craig Macdonald
2024	—	`conf`	To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering. ACL (1) Giacomo Frisoni, Alessio Cocchieri, Alex Presepi, Gianluca Moro, Zaiqiao Meng
2024	J	`jnl`	To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering. CoRR Giacomo Frisoni, Alessio Cocchieri, Alex Presepi, Gianluca Moro, Zaiqiao Meng
2024	—	`conf`	Towards Deep Generative Backmapping of Coarse-Grained Molecular Systems. CVIPPR Jiasheng Li, Zaiqiao Meng, Shangsong Liang
2024	J	`jnl`	Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. CoRR Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shu-Tao Xia
2023	J	`jnl`	BAND: Biomedical Alert News Dataset. CoRR Zihao Fu, Meiru Zhang, Zaiqiao Meng, Yannan Shen, Anya Okhmatovskaia, David L. Buckeridge, Nigel Collier
2023	A*	`conf`	Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization. EMNLP Zihao Fu, Yixuan Su, Zaiqiao Meng, Nigel Collier
2023	J	`jnl`	Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization. CoRR Zihao Fu, Yixuan Su, Zaiqiao Meng, Nigel Collier
2023	J	`jnl`	CLEX: Continuous Length Extrapolation for Large Language Models. CoRR Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing
2023	J	`jnl`	COFFEE: A Contrastive Oracle-Free Framework for Event Extraction. CoRR Meiru Zhang, Yixuan Su, Zaiqiao Meng, Zihao Fu, Nigel Collier
2023	A	`conf`	Can Pretrained Language Models (Yet) Reason Deductively? EACL Zhangdie Yuan, Songbo Hu, Ivan Vulic, Anna Korhonen, Zaiqiao Meng
2023	J	`jnl`	Cross-Temporal Snapshot Alignment for Dynamic Networks. IEEE Trans. Knowl. Data Eng. Shangsong Liang, Shaowei Tang, Zaiqiao Meng, Qiang Zhang
2023	J	`jnl`	Dynamic Bayesian Contrastive Predictive Coding Model for Personalized Product Search. ACM Trans. Web Bin Wu, Zaiqiao Meng, Shangsong Liang
2023	J	`jnl`	Enhancing Conversational Recommendation Systems with Representation Fusion. ACM Trans. Web Yingxu Wang, Xiaoru Chen, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
2023	—	`conf`	GenKIE: Robust Generative Multimodal Document Key Information Extraction. EMNLP (Findings) Panfeng Cao, Ye Wang, Qiang Zhang, Zaiqiao Meng
2023	J	`jnl`	GenKIE: Robust Generative Multimodal Document Key Information Extraction. CoRR Panfeng Cao, Ye Wang, Qiang Zhang, Zaiqiao Meng
2023	J	`jnl`	Graph Neural Pre-training for Recommendation with Side Information. ACM Trans. Inf. Syst. Siwei Liu, Zaiqiao Meng, Craig Macdonald, Iadh Ounis
2023	A	`conf`	KGPR: Knowledge Graph Enhanced Passage Ranking. CIKM Jinyuan Fang, Zaiqiao Meng, Craig Macdonald
2023	J	`jnl`	LaCViT: A Label-aware Contrastive Training Framework for Vision Transformers. CoRR Zijun Long, Zaiqiao Meng, Gerardo Aragon-Camarasa, Richard McCreadie
2023	J	`jnl`	Label Denoising through Cross-Model Agreement. CoRR Yu Wang, Xin Xin, Zaiqiao Meng, Xiangnan He, Joemon M. Jose, Fuli Feng
2023	—	`conf`	MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition. ACL (1) Jinyuan Fang, Xiaobin Wang, Zaiqiao Meng, Pengjun Xie, Fei Huang, Yong Jiang
2023	J	`jnl`	Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications. CoRR Muhammad Arslan Manzoor, Sarah Albarri, Ziting Xian, Zaiqiao Meng, Preslav Nakov, Shangsong Liang
2023	J	`jnl`	Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models. CoRR Yupan Huang, Zaiqiao Meng, Fangyu Liu, Yixuan Su, Nigel Collier, Yutong Lu
2023	J	`jnl`	When hard negative sampling meets supervised contrastive learning. CoRR Zijun Long, George Killick, Richard McCreadie, Gerardo Aragon-Camarasa, Zaiqiao Meng
2022	—	`conf`	A Conceptual Framework for Representing Events Under Public Health Surveillance. MIE Anya Okhmatovskaia, Yannan Shen, Iris Ganser, Nigel Collier, Nicholas B. King, Zaiqiao Meng, David L. Buckeridge
2022	J	`jnl`	A Normalizing Flow-Based Co-Embedding Model for Attributed Networks. ACM Trans. Knowl. Discov. Data Shangsong Liang, Zhuo Ouyang, Zaiqiao Meng
2022	J	`jnl`	BioCaster in 2021: automatic disease outbreaks detection from global news media. Bioinform. Zaiqiao Meng, Anya Okhmatovskaia, Maxime Polleri, Yannan Shen, Guido Powell, Zihao Fu, Iris Ganser, Meiru Zhang, Nicholas B. King, David L. Buckeridge, Nigel Collier
2022	J	`jnl`	Can Pretrained Language Models (Yet) Reason Deductively? CoRR Zhangdie Yuan, Songbo Hu, Ivan Vulic, Anna Korhonen, Zaiqiao Meng
2022	J	`jnl`	Hyperspherical Variational Co-embedding for Attributed Networks. ACM Trans. Inf. Syst. Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Maarten de Rijke
2022	J	`jnl`	Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces. CoRR Jiahang Cao, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
2022	A*	`conf`	Learning Robust Recommenders through Cross-Model Agreement. WWW Yu Wang, Xin Xin, Zaiqiao Meng, Joemon M. Jose, Fuli Feng, Xiangnan He
2022	A*	`conf`	Meta-Learning Helps Personalized Product Search. WWW Bin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
2022	A*	`conf`	Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network. AAAI Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
2022	J	`jnl`	Personalized, Sequential, Attentive, Metric-Aware Product Search. ACM Trans. Inf. Syst. Yaoxin Pan, Shangsong Liang, Jiaxin Ren, Zaiqiao Meng, Qiang Zhang
2022	J	`jnl`	Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model. ACM Trans. Inf. Syst. Shangsong Liang, Yupeng Luo, Zaiqiao Meng
2022	A*	`conf`	Revisiting Parameter-Efficient Tuning: Are We Really There Yet? EMNLP Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang
2022	J	`jnl`	Revisiting Parameter-Efficient Tuning: Are We Really There Yet? CoRR Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang
2022	—	`conf`	Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models. ACL (1) Zaiqiao Meng, Fangyu Liu, Ehsan Shareghi, Yixuan Su, Charlotte Collins, Nigel Collier
2022	—	`conf`	TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. NAACL-HLT (Findings) Yixuan Su, Fangyu Liu, Zaiqiao Meng, Tian Lan, Lei Shu, Ehsan Shareghi, Nigel Collier
2021	J	`jnl`	Competitive and complementary influence maximization in social network: A follower's perspective. Knowl. Based Syst. Huimin Huang, Zaiqiao Meng, Hong Shen
2021	—	`conf`	Few-Shot Table-to-Text Generation with Prototype Memory. EMNLP (Findings) Yixuan Su, Zaiqiao Meng, Simon Baker, Nigel Collier
2021	J	`jnl`	Few-Shot Table-to-Text Generation with Prototype Memory. CoRR Yixuan Su, Zaiqiao Meng, Simon Baker, Nigel Collier
2021	A*	`conf`	Gaussian Process with Graph Convolutional Kernel for Relational Learning. KDD Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Qiang Zhang
2021	J	`jnl`	Graph Neural Pre-training for Enhancing Recommendations using Side Information. CoRR Zaiqiao Meng, Siwei Liu, Craig Macdonald, Iadh Ounis
2021	—	`conf`	Integrating Transformers and Knowledge Graphs for Twitter Stance Detection. W-NUT Thomas Hikaru Clark, Costanza Conforti, Fangyu Liu, Zaiqiao Meng, Ehsan Shareghi, Nigel Collier
2021	A	`conf`	Learning Dynamic Embeddings for Temporal Knowledge Graphs. WSDM Siyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang
2021	J	`jnl`	Learning to Detect Few-Shot-Few-Clue Misinformation. CoRR Qiang Zhang, Hongbin Huang, Shangsong Liang, Zaiqiao Meng, Emine Yilmaz
2021	—	`conf`	Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT. EMNLP (1) Zaiqiao Meng, Fangyu Liu, Thomas Hikaru Clark, Ehsan Shareghi, Nigel Collier
2021	J	`jnl`	Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT. CoRR Zaiqiao Meng, Fangyu Liu, Thomas Hikaru Clark, Ehsan Shareghi, Nigel Collier
2021	J	`jnl`	Probabilistic and Variational Recommendation Denoising. CoRR Yu Wang, Xin Xin, Zaiqiao Meng, Xiangnan He, Joemon M. Jose, Fuli Feng
2021	J	`jnl`	Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models. CoRR Zaiqiao Meng, Fangyu Liu, Ehsan Shareghi, Yixuan Su, Charlotte Collins, Nigel Collier
2021	—	`conf`	Self-Alignment Pretraining for Biomedical Entity Representations. NAACL-HLT Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier
2021	A*	`conf`	Structure-Aware Random Fourier Kernel for Graphs. NeurIPS Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, Shangsong Liang
2021	J	`jnl`	TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. CoRR Yixuan Su, Fangyu Liu, Zaiqiao Meng, Lei Shu, Ehsan Shareghi, Nigel Collier
2021	J	`jnl`	Variational Bayesian representation learning for grocery recommendation. Inf. Retr. J. Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
2021	A*	`conf`	Variational Continual Bayesian Meta-Learning. NeurIPS Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz
2021	A*	`conf`	Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. AAAI Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shutao Xia
2020	A*	`conf`	A Heterogeneous Graph Neural Model for Cold-start Recommendation. SIGIR Siwei Liu, Iadh Ounis, Craig Macdonald, Zaiqiao Meng
2020	A	`conf`	BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. RecSys Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang
2020	J	`jnl`	Community-based influence maximization in attributed networks. Appl. Intell. Huimin Huang, Hong Shen, Zaiqiao Meng
2020	A	`conf`	Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. RecSys Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
2020	J	`jnl`	Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. CoRR Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
2020	J	`jnl`	Jointly Learning Representations of Nodes and Attributes for Attributed Networks. ACM Trans. Inf. Syst. Zaiqiao Meng, Shangsong Liang, Xiangliang Zhang, Richard McCreadie, Iadh Ounis
2020	J	`jnl`	Recurrent neural variational model for follower-based influence maximization. Inf. Sci. Huimin Huang, Zaiqiao Meng, Shangsong Liang
2020	J	`jnl`	Self-alignment Pre-training for Biomedical Entity Representations. CoRR Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier
2019	A*	`conf`	Bayesian Deep Collaborative Matrix Factorization. AAAI Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng
2019	A	`conf`	Co-Embedding Attributed Networks. WSDM Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang
2019	J	`jnl`	Community-based influence maximization for viral marketing. Appl. Intell. Huimin Huang, Hong Shen, Zaiqiao Meng, Huajian Chang, Huaiwen He
2019	A	`conf`	Constrained Co-embedding Model for User Profiling in Question Answering Communities. CIKM Yupeng Luo, Shangsong Liang, Zaiqiao Meng
2019	A	`conf`	Dynamic Bayesian Metric Learning for Personalized Product Search. CIKM Teng Xiao, Jiaxin Ren, Zaiqiao Meng, Huan Sun, Shangsong Liang
2019	A	`conf`	Dynamic Collaborative Recurrent Learning. CIKM Teng Xiao, Shangsong Liang, Zaiqiao Meng
2019	J	`jnl`	Fast top- Inf. Process. Manag. Zaiqiao Meng, Hong Shen
2019	A*	`conf`	Hierarchical Neural Variational Model for Personalized Sequential Recommendation. WWW Teng Xiao, Shangsong Liang, Zaiqiao Meng
2019	J	`jnl`	Item diversified recommendation based on influence diffusion. Inf. Process. Manag. Huimin Huang, Hong Shen, Zaiqiao Meng
2019	A*	`conf`	Semi-supervisedly Co-embedding Attributed Networks. NeurIPS Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao
2019	J	`jnl`	Semi-supervisedly Co-embedding Attributed Networks. CoRR Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao
2019	J	`jnl`	Variational Bayesian Context-aware Representation for Grocery Recommendation. CoRR Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
2018	J	`jnl`	Dissimilarity-constrained node attribute coverage diversification for novelty-enhanced top- Knowl. Based Syst. Zaiqiao Meng, Hong Shen
2018	J	`jnl`	Neural Variational Hybrid Collaborative Filtering. CoRR Teng Xiao, Shangsong Liang, Hong Shen, Zaiqiao Meng
2018	J	`jnl`	Scalable Aspects Learning for Intent-Aware Diversified Search on Social Networks. IEEE Access Zaiqiao Meng, Hong Shen
2018	J	`jnl`	Search result diversification on attributed networks via nonnegative matrix factorization. Inf. Process. Manag. Zaiqiao Meng, Hong Shen, Huimin Huang, Wei Liu, Jing Wang, Arun Kumar Sangaiah
2017	C	`conf`	NMFDIV: A Nonnegative Matrix Factorization Approach for Search Result Diversification on Attributed Networks. PDCAT Zaiqiao Meng, Hong Shen
2016	J	`jnl`	Diversified Top-k Similarity Search in Large Attributed Networks. CoRR Zaiqiao Meng, Hong Shen