Zhu, Yada

21 publications

ICLR 2026 Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative Zihao Li, Xiao Lin, Zhining Liu, Jiaru Zou, Ziwei Wu, Lecheng Zheng, Dongqi Fu, Yada Zhu, Hendrik Hamann, Hanghang Tong, Jingrui He

ICLR 2026 MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains Xuying Ning, Dongqi Fu, Tianxin Wei, Mengting Ai, Jiaru Zou, Ting-Wei Li, Hanghang Tong, Yada Zhu, Hendrik Hamann, Jingrui He

ICLR 2026 Seeing What’s Wrong: A Trajectory-Guided Approach to Caption Error Detection Gabriel Afriat, Ryan Lucas, Xiang Meng, Yufang Hou, Yada Zhu, Rahul Mazumder

ICML 2025 Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik Hamann, Jingrui He, Hanghang Tong

NeurIPS 2025 CLIMB: Class-Imbalanced Learning Benchmark on Tabular Data Zhining Liu, Zihao Li, Ze Yang, Tianxin Wei, Jian Kang, Yada Zhu, Hendrik Hamann, Jingrui He, Hanghang Tong

NeurIPS 2025 HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations Shuaicheng Zhang, Haohui Wang, Junhong Lin, Xiaojie Guo, Yada Zhu, Si Zhang, Dongqi Fu, Dawei Zhou

ICLR 2025 Reasoning of Large Language Models over Knowledge Graphs with Super-Relations Song Wang, Junhong Lin, Xiaojie Guo, Julian Shun, Jundong Li, Yada Zhu

ICLR 2024 Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li

ICML 2024 Class-Imbalanced Graph Learning Without Class Rebalancing Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong

ICMLW 2024 Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection Dongqi Fu, Yada Zhu, Hanghang Tong, Kommy Weldemariam, Onkar Bhardwaj, Jingrui He

ICML 2024 Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series Asterios Tsiourvas, Wei Sun, Georgia Perakis, Pin-Yu Chen, Yada Zhu

ICLR 2024 Neural Active Learning Beyond Bandits Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He

AAAI 2024 Sterling: Synergistic Representation Learning on Bipartite Graphs Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong

NeurIPS 2024 Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed Katherine Tieu, Dongqi Fu, Yada Zhu, Hendrik Hamann, Jingrui He

NeurIPSW 2022 COIN: Co-Cluster Infomax for Bipartite Graphs Baoyu Jing, Yuchen Yan, Yada Zhu, Hanghang Tong

AAAI 2021 Outlier Impact Characterization for Time Series Data Jianbo Li, Lecheng Zheng, Yada Zhu, Jingrui He

AAAI 2020 Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Ju Xiao, Bo Li

IJCAI 2020 Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance Di Chen, Yada Zhu, Xiaodong Cui, Carla P. Gomes

AAAI 2020 Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He

IJCAI 2018 A Local Algorithm for Product Return Prediction in E-Commerce Yada Zhu, Jianbo Li, Jingrui He, Brian Leo Quanz, Ajay A. Deshpande

AAAI 2012 Hierarchical Modeling with Tensor Inputs Yada Zhu, Jingrui He, Rick Lawrence