| 2026 | WWW | Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS. | Liangwei Nathan Zheng, Wenhao Liang, Wei Emma Zhang, Miao Xu, Olaf Maennel, Weitong Chen |
| 2025 | AAAI | Toward Efficient Data-Free Unlearning. | Chenhao Zhang, Shaofei Shen, Weitong Chen, Miao Xu |
| 2025 | ADMA | TraffiX-MoE: A Traffic-Aware Neural VRP Solver. | Wenhao Liang, Wei Emma Zhang, Lin Yue, Joy Rathjen, Peter Oloughlin, Weitong Chen |
| 2025 | ADMA | Curvature-Based Knee Detection for Robust and Non-robust Features. | Xuanyu Li, Weitong Chen |
| 2025 | ADMA | MS Faster-RCNN: A Novel Multi-scale Feature Fusion Based Object Detection Scheme. | Yibo Sun, Chenlei Liu, Bixiao Xu, Jing Gong, Zhe Sun, Weitong Chen |
| 2025 | ADMA | Disease Risk Control Algorithm Integrating Feature Selection and Oversampling Under the Neyman-Pearson Paradigm. | Yousheng Zhang, Boyang Chen, Zihan Zhuang, Weitong Chen, Jingyi Lyu, Shuya Chen, Min Zhou |
| 2025 | CIKM | Calibrating on Kolmogorov-Arnold Network. | Wenhao Liang, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2025 | CIKM | Calibrating on Medical Segmentation Model through Signed Distance. | Wenhao Liang, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2025 | CIKM | MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning. | Lishan Yang, Wei Emma Zhang, Quan Z. Sheng, Lina Yao, Weitong Chen, Ali Shakeri |
| 2025 | CIKM | Adaptive Spline Networks in the Kolmogorov-Arnold Framework: Knot Analysis and Stability Enhancement. | Liangwei Nathan Zheng, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2025 | COLING | Proceedings of the First Workshop of Evaluation of Multi-Modal Generation. | Wei Emma Zhang, Xiang Dai, Desmond Elliott, Byron Fang, Mong Yuan Sim, Haojie Zhuang, Weitong Chen |
| 2025 | DICTA | AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation. | Zechao Sun, Shuying Piao, Haolin Jin, Chang Dong, Lin Yue, Weitong Chen, Luping Zhou |
| 2025 | ECAI | Machine Unlearning for Streaming Forgetting. | Shaofei Shen, Chenhao Zhang, Yawen Zhao, Alina Bialkowski, Weitong Chen, Miao Xu |
| 2025 | KDD | Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment. | Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2025 | PAKDD | TrojanTime: Backdoor Attacks on Time Series Classification. | Chang Dong, Zechao Sun, Guangdong Bai, Shuying Piao, Weitong Chen, Wei Emma Zhang |
| 2025 | PAKDD | FedDPG: An Adaptive Yet Efficient Prompt-Tuning Approach in Federated Learning Settings. | Ali Shakeri, Wei Emma Zhang, Amin Beheshti, Weitong Chen, Jian Yang, Lishan Yang |
| 2024 | ACML | Countering Relearning with Perception Revising Unlearning. | Chenhao Zhang, Weitong Chen, Wei Emma Zhang, Miao Xu |
| 2024 | ADC | Mining Irregular Time Series Data with Noisy Labels: A Risk Estimation Approach. | Kun Han, Abigail M. Y. Koay, Ryan K. L. Ko, Weitong Chen, Miao Xu |
| 2024 | ADC | Robustness Analysis on Self-ensemble Models in Time Series Classification. | Zhengyang Li, Shuying Piao, Chang Dong, Weitong Chen |
| 2024 | ADMA | Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis. | Chang Dong, Liangwei Zheng, Weitong Chen |
| 2024 | ADMA | Enhancing Financial Market Predictions: Causality-Driven Feature Selection. | Wenhao Liang, Zhengyang Li, Weitong Chen |
| 2024 | ADMA | Correlation Analysis of Adversarial Attack in Time Series Classification. | Zhengyang Li, Wenhao Liang, Chang Dong, Weitong Chen, Dong Huang |
| 2024 | ADMA | Evaluating Model Robustness Using Adaptive Sparse L0 Regularization. | Weiyou Liu, Zhengyang Li, Weitong Chen |
| 2024 | ADMA | Improving Time Series Classification with Representation Soft Label Smoothing. | Hengyi Ma, Weitong Chen |
| 2024 | ADMA | Enhancing Chemistry-Domain Scientific Paper Summarization by Knowledge Graphs. | Yutong Qu, Jian Yang, Weitong Chen, Yan Jiao, Lishan Yang, Congbo Ma |
| 2024 | ADMA | Distributed Industrial Digital Twinning Scheme in 6G Future Scenarios. | Yibo Sun, Bingyu Yang, Enliang Wang, Jing Gong, Weitong Chen, Zhe Sun |
| 2024 | ADMA | Efficient Clustered Federated Learning by Locality Sensitive Hashing. | Lishan Yang, Alireza Seyed Shakeri, Liangxi Pu, Weitong Chen, Yanjun Shu |
| 2024 | CIKM | Boosting Certificate Robustness for Time Series Classification with Efficient Self-Ensemble. | Chang George Dong, Zhengyang David Li, Liangwei Nathan Zheng, Weitong Chen, Wei Emma Zhang |
| 2024 | CIKM | Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction. | Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Xin Chen, Lin Yue, Weitong Chen |
| 2024 | CIKM | Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics. | Liangwei Nathan Zheng, Zhengyang Li, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2024 | CIKM | Not All Negatives are Equally Negative: Soft Contrastive Learning for Unsupervised Sentence Representations. | Haojie Zhuang, Wei Emma Zhang, Jian Yang, Weitong Chen, Quan Z. Sheng |
| 2024 | DASFAA | Large Covariance Estimation from Streaming Data with Knowledge-Based Sketch Matrix. | Xiao Tan, Zhaoyang Wang, Meng Wang, Dian Shen, Weitong Chen, Beilun Wang |
| 2024 | ICA3PP | Temperature-Based Watermarking and Detection for Large Language Models. | Weitong Chen, Zhenxin Zhang, Huali Ren, Pei-Gen Ye, Zhengdao Li, Shanshan Huang |
| 2024 | ICLR | Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models. | Shaofei Shen, Chenhao Zhang, Yawen Zhao, Alina Bialkowski, Weitong Chen, Miao Xu |
| 2024 | ICWS | Data-Product Catalogues: Envisioning with Knowledge-aware Natural Language Processing. | Yutong Qu, Jian Yang, Wei Emma Zhang, Weitong Chen, Hong Qing Yu |
| 2024 | ICWS | Transforming Data Product Generation through Federated Learning: An Exploration of FL Applications in Data Ecosystems. | Ali Shakeri, Perry Chen, Yanjun Shu, Lishan Yang, Wei Emma Zhang, Weitong Chen |
| 2024 | NAACL | Automatic, Meta and Human Evaluation for Multimodal Summarization with Multimodal Output. | Haojie Zhuang, Wei Emma Zhang, Leon Xie, Weitong Chen, Jian Yang, Quan Sheng |
| 2024 | SDM | CaMU: Disentangling Causal Effects in Deep Model Unlearning. | Shaofei Shen, Chenhao Zhang, Alina Bialkowski, Weitong Chen, Miao Xu |
| 2023 | ADMA | Graph Convolution Synthetic Transformer for Chronic Kidney Disease Onset Prediction. | Di Zhu, Yi Liu, Weitong Chen, Yanda Wang, Yefan Huang, Xiaoli Wang, Ken Cai, Bohan Li |
| 2023 | ICDM | A Progressive Sampling Method for Dual-Node Imbalanced Learning with Restricted Data Access. | Yixuan Qiu, Weitong Chen, Miao Xu |
| 2023 | IECON | Impact of Secondary Sizing on EV Dynamic Charging System Power Capability. | Weitong Chen, Amir Babaki, Feiyang Lin, Grant A. Covic |
| 2023 | PAKDD | Words Can Be Confusing: Stereotype Bias Removal in Text Classification at the Word Level. | Shaofei Shen, Mingzhe Zhang, Weitong Chen, Alina Bialkowski, Miao Xu |
| 2023 | SENSYS | Demo Abstract: Navigating Indoors: A Cost-effective Drone-based Solution. | Zicong Wen, Wei Emma Zhang, Lipin Guo, Weitong Chen |
| 2022 | ACNS | Vulnerability Detection for Smart Contract via Backward Bayesian Active Learning. | Jiale Zhang, Liangqiong Tu, Jie Cai, Xiaobing Sun, Bin Li, Weitong Chen, Yu Wang |
| 2022 | APWEB | Death Comes But Why: An Interpretable Illness Severity Predictions in ICU. | Shaofei Shen, Miao Xu, Lin Yue, Robert Boots, Weitong Chen |
| 2022 | APWEB | Improving Motor Imagery Intention Recognition via Local Relation Networks. | Lin Yue, Yuxuan Zhang, Xiaowei Zhao, Zhe Zhang, Weitong Chen |
| 2022 | APWEB | SSCG: Spatial Subcluster Clustering Method by Grid-Connection. | Yihang Zhang, Xuming Han, Limin Wang, Weitong Chen, Linliang Guo |
| 2022 | DASFAA | GISDCN: A Graph-Based Interpolation Sequential Recommender with Deformable Convolutional Network. | Yalei Zang, Yi Liu, Weitong Chen, Bohan Li, Aoran Li, Lin Yue, Weihua Ma |
| 2022 | PAKDD | Towards Better Generalization for Neural Network-Based SAT Solvers. | Chenhao Zhang, Yanjun Zhang, Jeff Mao, Weitong Chen, Lin Yue, Guangdong Bai, Miao Xu |
| 2021 | ADC | Intention Recognition from Spatio-Temporal Representation of EEG Signals. | Lin Yue, Dongyuan Tian, Jing Jiang, Lina Yao, Weitong Chen, Xiaowei Zhao |
| 2021 | ADMA | STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition. | Yixuan Qiu, Weitong Chen, Lin Yue, Miao Xu, Baofeng Zhu |
| 2021 | CIKM | Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces. | Chunyu Liu, Yongjian Yang, Zijun Yao, Yuanbo Xu, Weitong Chen, Lin Yue, Haomeng Wu |
| 2021 | CIKM | Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation. | Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Miao Xu, Xue Li |
| 2021 | ECIR | Diagnosis Ranking with Knowledge Graph Convolutional Networks. | Bing Liu, Guido Zuccon, Wen Hua, Weitong Chen |
| 2021 | IJCAI | Positive-Unlabeled Learning from Imbalanced Data. | Guangxin Su, Weitong Chen, Miao Xu |
| 2021 | IJCAI | Self-Supervised Adversarial Distribution Regularization for Medication Recommendation. | Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Sen Wang, Miao Xu |
| 2019 | ADMA | DAMTRNN: A Delta Attention-Based Multi-task RNN for Intention Recognition. | Weitong Chen, Lin Yue, Bohan Li, Can Wang, Quan Z. Sheng |
| 2019 | ADMA | RecKGC: Integrating Recommendation with Knowledge Graph Completion. | Jingwei Ma, Mingyang Zhong, Jiahui Wen, Weitong Chen, Xiaofang Zhou, Xue Li |
| 2019 | ADMA | Deep Interpretable Mortality Model for Intensive Care Unit Risk Prediction. | Zhenkun Shi, Weitong Chen, Shining Liang, Wanli Zuo, Lin Yue, Sen Wang |
| 2019 | ADMA | Robust Feature Selection Based on Fuzzy Rough Sets with Representative Sample. | Zhimin Zhang, Weitong Chen, Chengyu Liu, Yun Kang, Feng Liu, Yuwen Li, Shoushui Wei |
| 2019 | CIKM | DBRec: Dual-Bridging Recommendation via Discovering Latent Groups. | Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Hongkui Tu, Xue Li |
| 2019 | DASFAA | Multi-source Multi-net Micro-video Recommendation with Hidden Item Category Discovery. | Jingwei Ma, Jiahui Wen, Mingyang Zhong, Weitong Chen, Xiaofang Zhou, Jadwiga Indulska |
| 2019 | DASFAA | DMMAM: Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis. | Zhenkun Shi, Wanli Zuo, Weitong Chen, Lin Yue, Yuwei Hao, Shining Liang |
| 2019 | DASFAA | Learning Fine-Grained Patient Similarity with Dynamic Bayesian Network Embedded RNNs. | Yanda Wang, Weitong Chen, Bohan Li, Robert Boots |
| 2019 | DASFAA | Leveraging Knowledge Graph Embeddings for Natural Language Question Answering. | Ruijie Wang, Meng Wang, Jun Liu, Weitong Chen, Michael Cochez, Stefan Decker |
| 2019 | DASFAA | Finding the Key Influences on the House Price by Finite Mixture Model Based on the Real Estate Data in Changchun. | Xin Xu, Zeyu Huang, Jingyi Wu, Yanjie Fu, Na Luo, Weitong Chen, Jianan Wang, Minghao Yin |
| 2018 | AAAI | Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface. | Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots, Boualem Benatallah |
| 2018 | ICDM | Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit. | Weitong Chen, Sen Wang, Guodong Long, Lina Yao, Quan Z. Sheng, Xue Li |
| 2018 | ICIS | Treatment Recommendation in Critical Care: A Scalable and Interpretable Approach in Partially Observable Health States. | Chandra Prasetyo Utomo, Xue Li, Weitong Chen |
| 2018 | IECON | Comparison of Meander Track Primary Topologies for EV Roadway Charging. | Weitong Chen, Grant A. Covic, John T. Boys |
| 2018 | SDM | EEG-based Motion Intention Recognition via Multi-task RNNs. | Weitong Chen, Sen Wang, Xiang Zhang, Lina Yao, Lin Yue, Buyue Qian, Xue Li |
| 2017 | ADMA | Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning. | Yuanhao Zheng, Bifan Wei, Jun Liu, Meng Wang, Weitong Chen, Bei Wu, Yihe Chen |
| 2017 | WWW | People Opinion Topic Model: Opinion based User Clustering in Social Networks. | Hongxu Chen, Hongzhi Yin, Xue Li, Meng Wang, Weitong Chen, Tong Chen |
| 2017 | WWW | User Relation Prediction Based on Matrix Factorization and Hybrid Particle Swarm Optimization. | Zhenkun Shi, Wanli Zuo, Weitong Chen, Lin Yue, Jiayu Han, Lizhou Feng |
| 2016 | ADMA | Dynamic Reverse Furthest Neighbor Querying Algorithm of Moving Objects. | Bohan Li, Chao Zhang, Weitong Chen, Yingbao Yang, Shaohong Feng, Qiqian Zhang, Weiwei Yuan, Dongjing Li |
| 2016 | CIKM | Learning Graph-based POI Embedding for Location-based Recommendation. | Min Xie, Hongzhi Yin, Hao Wang, Fanjiang Xu, Weitong Chen, Sen Wang |