Yada Zhu - RankMe

99 papers A* 28A 6B 1Journal 47Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	How Much Reasoning Do Retrieval-Augmented Models Add beyond LLMs? A Benchmarking Framework for Multi-Hop Inference over Hybrid Knowledge. CoRR Junhong Lin, Bing Zhang, Song Wang, Ziyan Liu, Dan Gutfreund, Julian Shun, Yada Zhu
2026	J	`jnl`	MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains. CoRR Xuying Ning, Dongqi Fu, Tianxin Wei, Mengting Ai, Jiaru Zou, Ting-Wei Li, Hanghang Tong, Yada Zhu, Hendrik F. Hamann, Jingrui He
2026	J	`jnl`	Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents. CoRR Yuanchen Bei, Tianxin Wei, Xuying Ning, Yanjun Zhao, Zhining Liu, Xiao Lin, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2026	—	`conf`	UniToolBench: A Benchmark for Tool-Augmented LLMs in Cross-Domain, Universal Task Automation. EACL (Findings) Xiaojie Guo, Yang Zhang, Bing Zhang, Ryo Kawahara, Mikio Takeuchi, Yada Zhu
2025	A*	`conf`	Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting. ICML Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2025	J	`jnl`	Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting. CoRR Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2025	J	`jnl`	CLIMB: Class-imbalanced Learning Benchmark on Tabular Data. CoRR Zhining Liu, Zihao Li, Ze Yang, Tianxin Wei, Jian Kang, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2025	A	`conf`	ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method. CIKM Dongqi Fu, Yada Zhu, Zhining Liu, Lecheng Zheng, Xiao Lin, Zihao Li, Liri Fang, Katherine Tieu, Onkar Bhardwaj, Kommy Weldemariam, Hanghang Tong, Hendrik F. Hamann, Jingrui He
2025	J	`jnl`	ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method. CoRR Dongqi Fu, Yada Zhu, Zhining Liu, Lecheng Zheng, Xiao Lin, Zihao Li, Liri Fang, Katherine Tieu, Onkar Bhardwaj, Kommy Weldemariam, Hanghang Tong, Hendrik F. Hamann, Jingrui He
2025	—	`conf`	Evaluating Large Language Models with Enterprise Benchmarks. NAACL (Industry Track) Bing Zhang, Mikio Takeuchi, Ryo Kawahara, Shubhi Asthana, Md. Maruf Hossain, Guang-Jie Ren, Kate Soule, Yifan Mai, Yada Zhu
2025	J	`jnl`	GTR: Graph-Table-RAG for Cross-Table Question Answering. CoRR Jiaru Zou, Dongqi Fu, Sirui Chen, Xinrui He, Zihao Li, Yada Zhu, Jiawei Han, Jingrui He
2025	J	`jnl`	HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations. CoRR Shuaicheng Zhang, Haohui Wang, Junhong Lin, Xiaojie Guo, Yada Zhu, Si Zhang, Dongqi Fu, Dawei Zhou
2025	J	`jnl`	Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative. CoRR Zihao Li, Xiao Lin, Zhining Liu, Jiaru Zou, Ziwei Wu, Lecheng Zheng, Dongqi Fu, Yada Zhu, Hendrik F. Hamann, Hanghang Tong, Jingrui He
2025	—	`conf`	PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play. ACL (Findings) Wei Fang, Yang Zhang, Kaizhi Qian, James R. Glass, Yada Zhu
2025	J	`jnl`	PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play. CoRR Wei Fang, Yang Zhang, Kaizhi Qian, James Glass, Yada Zhu
2025	A*	`conf`	Reasoning of Large Language Models over Knowledge Graphs with Super-Relations. ICLR Song Wang, Junhong Lin, Xiaojie Guo, Julian Shun, Jundong Li, Yada Zhu
2025	J	`jnl`	Reasoning of Large Language Models over Knowledge Graphs with Super-Relations. CoRR Song Wang, Junhong Lin, Xiaojie Guo, Julian Shun, Jundong Li, Yada Zhu
2025	J	`jnl`	Temporal Reasoning with Large Language Models Augmented by Evolving Knowledge Graphs. CoRR Junhong Lin, Song Wang, Xiaojie Guo, Julian Shun, Yada Zhu
2025	—	`conf`	When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark. KDD (2) Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Yada Zhu, Julian Shun
2024	A*	`conf`	AIM: Attributing, Interpreting, Mitigating Data Unfairness. KDD Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong
2024	J	`jnl`	AIM: Attributing, Interpreting, Mitigating Data Unfairness. CoRR Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong
2024	A*	`conf`	Adversarial Attacks on Fairness of Graph Neural Networks. ICLR Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
2024	J	`jnl`	ArieL: Adversarial Graph Contrastive Learning. ACM Trans. Knowl. Discov. Data Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
2024	A*	`conf`	Class-Imbalanced Graph Learning without Class Rebalancing. ICML Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong
2024	J	`jnl`	Enterprise Benchmarks for Large Language Model Evaluation. CoRR Bing Zhang, Mikio Takeuchi, Ryo Kawahara, Shubhi Asthana, Md. Maruf Hossain, Guang-Jie Ren, Kate Soule, Yada Zhu
2024	A*	`conf`	Fairgen: Towards Fair Graph Generation. ICDE Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
2024	—	`conf`	FraudGT: A Simple, Effective, and Efficient Graph Transformer for Financial Fraud Detection. ICAIF Junhong Lin, Xiaojie Guo, Yada Zhu, Samuel Mitchell, Erik Altman, Julian Shun
2024	J	`jnl`	Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection. CoRR Dongqi Fu, Yada Zhu, Hanghang Tong, Kommy Weldemariam, Onkar Bhardwaj, Jingrui He
2024	A*	`conf`	Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series. ICML Asterios Tsiourvas, Wei Sun, Georgia Perakis, Pin-Yu Chen, Yada Zhu
2024	A*	`conf`	Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization. KDD Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Wei Cheng, Si Zhang, Yonghui Fan, Liqing Zhang, Dawei Zhou
2024	A*	`conf`	Neural Active Learning Beyond Bandits. ICLR Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
2024	J	`jnl`	Neural Active Learning Beyond Bandits. CoRR Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
2024	—	`conf`	Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models. NAACL-HLT Yue Zhou, Yada Zhu, Diego Antognini, Yoon Kim, Yang Zhang
2024	J	`jnl`	Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models. CoRR Yue Zhou, Yada Zhu, Diego Antognini, Yoon Kim, Yang Zhang
2024	—	`conf`	Self-Specialization: Uncovering Latent Expertise within Large Language Models. ACL (Findings) Junmo Kang, Hongyin Luo, Yada Zhu, Jacob A. Hansen, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky
2024	A*	`conf`	Sterling: Synergistic Representation Learning on Bipartite Graphs. AAAI Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
2024	A*	`conf`	Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed. NeurIPS Katherine Tieu, Dongqi Fu, Yada Zhu, Hendrik F. Hamann, Jingrui He
2024	B	`conf`	UnifiedGT: Towards a Universal Framework of Transformers in Large-Scale Graph Learning. IEEE Big Data Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Dawei Zhou, Yada Zhu, Julian Shun
2024	J	`jnl`	When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods. CoRR Junhong Lin, Xiaojie Guo, Shuaicheng Zhang, Dawei Zhou, Yada Zhu, Julian Shun
2023	J	`jnl`	Adversarial Attacks on Fairness of Graph Neural Networks. CoRR Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
2023	J	`jnl`	Characterizing Long-Tail Categories on Graphs. CoRR Haohui Wang, Baoyu Jing, Kaize Ding, Yada Zhu, Dawei Zhou
2023	—	`conf`	Dynamic Covariance Estimation under Structural Assumptions via a Joint Optimization Approach. ICAIF Wenyu Chen, Riade Benbaki, Yada Zhu, Rahul Mazumder
2023	—	`conf`	Earnings Call Analysis Using a Sparse Attention Based Encoder and Multi-Source Counterfactual Augmentation. ICAIF Zixuan Yuan, Yada Zhu, Wei Zhang, Hui Xiong
2023	J	`jnl`	FairGen: Towards Fair Graph Generation. CoRR Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
2023	A	`conf`	Fairness-aware Multi-view Clustering. SDM Lecheng Zheng, Yada Zhu, Jingrui He
2023	J	`jnl`	Fairness-aware Multi-view Clustering. CoRR Lecheng Zheng, Yada Zhu, Jingrui He
2023	A*	`conf`	Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. KDD Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew Margenot, Hanghang Tong
2023	J	`jnl`	Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. CoRR Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew J. Margenot, Hanghang Tong
2023	J	`jnl`	STERLING: Synergistic Representation Learning on Bipartite Graphs. CoRR Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
2023	J	`jnl`	Self-Specialization: Uncovering Latent Expertise within Large Language Models. CoRR Junmo Kang, Hongyin Luo, Yada Zhu, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky
2023	—	`conf`	TGEditor: Task-Guided Graph Editing for Augmenting Temporal Financial Transaction Networks. ICAIF Shuaicheng Zhang, Yada Zhu, Dawei Zhou
2023	J	`jnl`	Topological Augmentation for Class-Imbalanced Node Classification. CoRR Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong
2022	J	`jnl`	ARIEL: Adversarial Graph Contrastive Learning. CoRR Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
2022	A*	`conf`	Adversarial Graph Contrastive Learning with Information Regularization. WWW Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
2022	J	`jnl`	Adversarial Graph Contrastive Learning with Information Regularization. CoRR Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
2022	J	`jnl`	COIN: Co-Cluster Infomax for Bipartite Graphs. CoRR Baoyu Jing, Yuchen Yan, Yada Zhu, Hanghang Tong
2022	A*	`conf`	Contrastive Learning with Complex Heterogeneity. KDD Lecheng Zheng, Jinjun Xiong, Yada Zhu, Jingrui He
2022	—	`conf`	Cost-Efficient Reinforcement Learning for Optimal Trade Execution on Dynamic Market Environment. ICAIF Di Chen, Yada Zhu, Miao Liu, Jianbo Li
2022	—	`conf`	Knowledge Graph Guided Simultaneous Forecasting and Network Learning for Multivariate Financial Time Series. ICAIF Shibal Ibrahim, Wenyu Chen, Yada Zhu, Pin-Yu Chen, Yang Zhang, Rahul Mazumder
2022	J	`jnl`	Retrieval Based Time Series Forecasting. CoRR Baoyu Jing, Si Zhang, Yada Zhu, Bin Peng, Kaiyu Guan, Andrew Margenot, Hanghang Tong
2022	A	`conf`	Structure Meets Sequences: Predicting Network of Co-evolving Sequences. WSDM Yaojing Wang, Yuan Yao, Feng Xu, Yada Zhu, Hanghang Tong
2021	J	`jnl`	Heterogeneous Contrastive Learning. CoRR Lecheng Zheng, Yada Zhu, Jingrui He, Jinjun Xiong
2021	J	`jnl`	Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings Call Analysis. CoRR Zixuan Yuan, Yada Zhu, Wei Zhang, Ziming Huang, Guangnan Ye, Hui Xiong
2021	A*	`conf`	Network of Tensor Time Series. WWW Baoyu Jing, Hanghang Tong, Yada Zhu
2021	J	`jnl`	Network of Tensor Time Series. CoRR Baoyu Jing, Hanghang Tong, Yada Zhu
2021	J	`jnl`	On Sample Based Explanation Methods for NLP: Efficiency, Faithfulness, and Semantic Evaluation. CoRR Wei Zhang, Ziming Huang, Yada Zhu, Guangnan Ye, Xiaodong Cui, Fan Zhang
2021	—	`conf`	On Sample Based Explanation Methods for NLP: Faithfulness, Efficiency and Semantic Evaluation. ACL/IJCNLP (1) Wei Zhang, Ziming Huang, Yada Zhu, Guangnan Ye, Xiaodong Cui, Fan Zhang
2021	A*	`conf`	Outlier Impact Characterization for Time Series Data. AAAI Jianbo Li, Lecheng Zheng, Yada Zhu, Jingrui He
2021	—	`conf`	Probabilistic framework for modeling event shocks to financial time series. ICAIF Yada Zhu, Wenyu Chen, Yang Zhang, Tian Gao, Jianbo Li
2021	—	`conf`	Toward Scalable Artificial Intelligence in Finance. SCC Jorge L. C. Sanz, Yada Zhu
2020	A*	`conf`	Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting. WWW Dawei Zhou, Lecheng Zheng, Yada Zhu, Jianbo Li, Jingrui He
2020	A*	`conf`	Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States. AAAI Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Ju Xiao, Bo Li
2020	J	`jnl`	Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States. CoRR Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Jun Xiao, Bo Li
2020	A*	`conf`	Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance. IJCAI Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes
2020	A*	`conf`	Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk. AAAI Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He
2019	A	`conf`	Robust Embedded Deep K-means Clustering. CIKM Rui Zhang, Hanghang Tong, Yinglong Xia, Yada Zhu
2019	J	`jnl`	Task-Based Learning via Task-Oriented Prediction Network. CoRR Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes
2018	A*	`conf`	A Local Algorithm for Product Return Prediction in E-Commerce. IJCAI Yada Zhu, Jianbo Li, Jingrui He, Brian Leo Quanz, Ajay A. Deshpande
2018	A*	`conf`	E-tail Product Return Prediction via Hypergraph-based Local Graph Cut. KDD Jianbo Li, Jingrui He, Yada Zhu
2018	J	`jnl`	Heterogeneous representation learning with separable structured sparsity regularization. Knowl. Inf. Syst. Pei Yang, Qi Tan, Yada Zhu, Jingrui He
2018	—	`ch.`	Social Phishing. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Yada Zhu, Jingrui He
2017	A*	`conf`	HiMuV: Hierarchical Framework for Modeling Multi-modality Multi-resolution Data. ICDM Jianbo Li, Jingrui He, Yada Zhu
2017	A	`conf`	Learning from Multi-Modality Multi-Resolution Data: an Optimization Approach. SDM Yada Zhu, Jianbo Li, Jingrui He
2017	A*	`conf`	Local Algorithm for User Action Prediction Towards Display Ads. KDD Hongxia Yang, Yada Zhu, Jingrui He
2016	J	`jnl`	A Generalized Hierarchical Multi-Latent Space Model for Heterogeneous Learning. IEEE Trans. Knowl. Data Eng. Pei Yang, Hasan Davulcu, Yada Zhu, Jingrui He
2016	J	`jnl`	Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing. ACM Trans. Knowl. Discov. Data Yada Zhu, Jingrui He
2015	J	`jnl`	A general framework for predictive tensor modeling with domain knowledge. Data Min. Knowl. Discov. Yada Zhu, Jingrui He, Richard D. Lawrence
2015	A*	`conf`	Co-Clustering based Dual Prediction for Cargo Pricing Optimization. KDD Yada Zhu, Hongxia Yang, Jingrui He
2015	A	`conf`	Modern Big Data Analytics for "Old-fashioned" Semiconductor Industry Applications. ICCAD Yada Zhu, Jinjun Xiong
2015	J	`jnl`	Multi-stage optimization for periodic inspection planning of geo-distributed infrastructure systems. Eur. J. Oper. Res. Dzung T. Phan, Yada Zhu
2014	A*	`conf`	Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing. ICDM Yada Zhu, Jingrui He
2014	J	`jnl`	Parametric Estimation for Window Censored Recurrence Data. Technometrics Yada Zhu, Emmanuel Yashchin, Jonathan R. M. Hosking
2014	—	`ch.`	Social Engineering/Phishing. Encyclopedia of Social Network Analysis and Mining Jingrui He, Yada Zhu
2012	A*	`conf`	Hierarchical Modeling with Tensor Inputs. AAAI Yada Zhu, Jingrui He, Rick Lawrence
2012	A*	`conf`	Hierarchical Multi-task Learning with Application to Wafer Quality Prediction. ICDM Jingrui He, Yada Zhu
2011	J	`jnl`	Impact of measurement error on container inspection policies at port-of-entry. Ann. Oper. Res. Yada Zhu, Mingyu Li, Christina M. Young, Minge Xie, Elsayed A. Elsayed
2010	J	`jnl`	Availability optimization of systems subject to competing risk. Eur. J. Oper. Res. Yada Zhu, Elsayed A. Elsayed, Haitao Liao, Ling-Yau Chan
2010	J	`jnl`	Multiobjective Optimization of a Port-of-Entry Inspection Policy. IEEE Trans Autom. Sci. Eng. Christina M. Young, Mingyu Li, Yada Zhu, Minge Xie, Elsayed A. Elsayed, T. Asamov
2009	J	`jnl`	Port-of-Entry Inspection: Sensor Deployment Policy Optimization. IEEE Trans Autom. Sci. Eng. Elsayed A. Elsayed, Christina M. Young, Minge Xie, Hao Zhang, Yada Zhu