| 2026 | ACL | Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks. | Miaomiao Li, Hao Chen, Yang Wang, Tingyuan Zhu, Weijia Zhang, Kaijie Zhu, Kam-Fai Wong, Jindong Wang |
| 2026 | KDD | Physics-Informed Teleconnection-Aware Transformer for Global Subseasonal-to-Seasonal Forecasting. | Tengfei Lyu, Weijia Zhang, Hao Liu |
| 2026 | KDD | UniExtreme: A Universal Foundation Model for Extreme Weather Forecasting. | Hang Ni, Weijia Zhang, Hao Liu |
| 2025 | AAAI | Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization. | Yizhi Wang, Weijia Zhang, Min-Ling Zhang |
| 2025 | AISTATS | HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks. | Xin Liu, Weijia Zhang, Min-Ling Zhang |
| 2025 | EMNLP | Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification. | Yifei Yuan, Jiatong Li, Weijia Zhang, Mohammad Aliannejadi, Evangelos Kanoulas, Renjun Hu |
| 2025 | ICCV | PVMamba: Parallelizing Vision Mamba via Dynamic State Aggregation. | Fei Xie, Zhongdao Wang, Weijia Zhang, Chao Ma |
| 2025 | ICCV | Cross-Architecture Distillation Made Simple with Redundancy Suppression. | Weijia Zhang, Yuehao Liu, Wu Ran, Chao Ma |
| 2025 | ICCV | VRM: Knowledge Distillation via Virtual Relation Matching. | Weijia Zhang, Fei Xie, Tom Weidong Cai, Chao Ma |
| 2025 | KDD | Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series. | Weijia Zhang, Chenlong Yin, Hao Liu, Hui Xiong |
| 2025 | KDD | LLMLight: Large Language Models as Traffic Signal Control Agents. | Siqi Lai, Zhao Xu, Weijia Zhang, Hao Liu, Hui Xiong |
| 2025 | KDD | AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting. | Tengfei Lyu, Weijia Zhang, Jinliang Deng, Hao Liu |
| 2025 | PAKDD | Labor Migration Modeling Through Large-Scale Job Query Data. | Zhuoning Guo, Le Zhang, Hengshu Zhu, Weijia Zhang, Hui Xiong, Hao Liu |
| 2024 | AAAI | Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees. | Weijia Zhang, Chun Kai Ling, Xuanhui Zhang |
| 2024 | DASFAA | Chain-of-Choice Hierarchical Policy Learning for Conversational Recommendation. | Wei Fan, Weijia Zhang, Weiqi Wang, Yangqiu Song, Hao Liu |
| 2024 | ECAI | QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs. | Weijia Zhang, Vaishali Pal, Jia-Hong Huang, Evangelos Kanoulas, Maarten de Rijke |
| 2024 | ECCV | PapMOT: Exploring Adversarial Patch Attack Against Multiple Object Tracking. | Jiahuan Long, Tingsong Jiang, Wen Yao, Shuai Jia, Weijia Zhang, Weien Zhou, Chao Ma, Xiaoqian Chen |
| 2024 | EMNLP | FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture. | Wenyan Li, Xinyu Zhang, Jiaang Li, Qiwei Peng, Raphael Tang, Li Zhou, Weijia Zhang, Guimin Hu, Yifei Yuan, Anders Sgaard, Daniel Hershcovich, Desmond Elliott |
| 2024 | ICML | Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach. | Weijia Zhang, Chenlong Yin, Hao Liu, Xiaofang Zhou, Hui Xiong |
| 2024 | IJCAI | Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning. | Wei Tang, Weijia Zhang, Min-Ling Zhang |
| 2024 | ICPR | Beyond Relevant Documents: A Knowledge-Intensive Approach for Query-Focused Summarization Using Large Language Models. | Weijia Zhang, Jia-Hong Huang, Svitlana Vakulenko, Yumo Xu, Thilina Rajapakse, Evangelos Kanoulas |
| 2024 | INLG | Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics. | Weijia Zhang, Mohammad Aliannejadi, Yifei Yuan, Jiahuan Pei, Jia-Hong Huang, Evangelos Kanoulas |
| 2024 | KDD | Urban Foundation Models: A Survey. | Weijia Zhang, Jindong Han, Zhao Xu, Hang Ni, Hao Liu, Hui Xiong |
| 2024 | KDD | Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks. | Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Yanjie Fu, Jingbo Zhou, Yu Mei, Hui Xiong |
| 2024 | WACV | Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection. | Weijia Zhang, Dongnan Liu, Chao Ma, Tom Weidong Cai |
| 2023 | KDD | A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation. | Siqi Lai, Weijia Zhang, Hao Liu |
| 2023 | KDD | Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training. | Fan Liu, Weijia Zhang, Hao Liu |
| 2023 | KDD | Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections. | Qian Sun, Le Zhang, Huan Yu, Weijia Zhang, Yu Mei, Hui Xiong |
| 2022 | ICDM | Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation. | Jingci Ming, Le Zhang, Wei Fan, Weijia Zhang, Yu Mei, Weicen Ling, Hui Xiong |
| 2022 | KDD | Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing. | Weijia Zhang, Hao Liu, Jindong Han, Yong Ge, Hui Xiong |
| 2022 | VR | Predictive Power of Pupil Dynamics in a Team Based Virtual Reality Task. | Yinuo Qin, Weijia Zhang, Richard Lee, Xiaoxiao Sun, Paul Sajda |
| 2021 | AAAI | Treatment Effect Estimation with Disentangled Latent Factors. | Weijia Zhang, Lin Liu, Jiuyong Li |
| 2021 | IJCAI | Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels with Variational Auto-Encoder. | Weijia Zhang |
| 2021 | KDD | MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. | Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong |
| 2021 | WWW | Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning. | Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong |
| 2020 | AAAI | Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. | Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong |
| 2020 | ECAI | Robust Multi-Instance Learning with Stable Instances. | Weijia Zhang, Lin Liu, Jiuyong Li |
| 2019 | EMNLP | A Deep Neural Information Fusion Architecture for Textual Network Embeddings. | Zenan Xu, Qinliang Su, Xiaojun Quan, Weijia Zhang |
| 2014 | AAAI | Multi-Instance Learning with Distribution Change. | Weijia Zhang, Zhi-Hua Zhou |