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ORCIDWeitong Chen 0001
Tony Chen 0001 – Weitong Tony Chen – Tony Weitong Chen
Person information
- affiliation: University of Adelaide, School of Computer Science, Australia
Other persons with the same name
- Weitong Chen — disambiguation page
- Weitong Chen 0002
![[0000-0003-3619-5236]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-3619-5236")
— Yangzhou University, School of Information Engineering, Yangzhou, China (and 1 more) - Tony Chen — disambiguation page
- Tony Chen 0002 — Google DeepMind, London, UK
- Tony Chen 0003 — Massachusetts Institute of Technology (MIT), Department of Brain and Cognitive Sciences, Cambridge, MA, USA
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Books and Theses
- 2020
[b1]Weitong Chen:
Deep multi-task learning on time-series medical data. University of Queensland, Australia, 2020
Journal Articles
- 2025
- [j28]Yawen Zhao, Mingzhe Zhang, Chenhao Zhang, Weitong Chen, Nan Ye, Miao Xu:
A boosting framework for positive-unlabeled learning. Stat. Comput. 35(1): 2 (2025) - 2024
- [j27]Yibo Sun, Zhe Sun, Weitong Chen:
The evolution of object detection methods. Eng. Appl. Artif. Intell. 133: 108458 (2024) - [j26]Shuang Wang, Jiawen Wu, Zian Yuan, An Gao, Weitong Tony Chen:
Makespan minimization for workflows with multiple privacy levels. Future Gener. Comput. Syst. 159: 39-50 (2024) - [j25]Yuanbo Xu, Tian Li, Yongjian Yang, Weitong Chen, Lin Yue:
An adaptive category-aware recommender based on dual knowledge graphs. Inf. Process. Manag. 61(2): 103636 (2024) - 2023
- [j24]Yixuan Qiu, Feng Lin, Weitong Chen, Miao Xu:
Pre-training in Medical Data: A Survey. Mach. Intell. Res. 20(2): 147-179 (2023) - [j23]Bohan Li, Tianlun Dai, Weitong Chen, Xinyang Song, Yalei Zang, Zhelong Huang, Qinyong Lin, Ken Cai:
T-PORP: A Trusted Parallel Route Planning Model on Dynamic Road Networks. IEEE Trans. Intell. Transp. Syst. 24(1): 1238-1250 (2023) - [j22]Bohan Li, Zhelong Huang, Weitong Chen, Tianlun Dai, Yalei Zang, Wenbin Xie, Bo Tian, Ken Cai:
MSN: Mapless Short-Range Navigation Based on Time Critical Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 24(8): 8628-8637 (2023) - [j21]Xue Li, Catherine Zou, Robert Boots, Sen Wang, Weitong Chen, Guido Zuccon:
Artificial Intelligence in Evidence-based Medicine: Challenges and Opportunities. World Sci. Annu. Rev. Artif. Intell. 1: 2330002:1-2330002:19 (2023) - [j20]Weitong Chen, Wei Emma Zhang, Lin Yue:
Death comes but why: A multi-task memory-fused prediction for accurate and explainable illness severity in ICUs. World Wide Web (WWW) 26(6): 4025-4045 (2023) - 2021
- [j19]Han Gao, Bohan Li, Wenbin Xie, Yuxin Zhang, Donghai Guan, Weitong Chen, Ken Cai:
CSIP: Enhanced Link Prediction with Context of Social Influence Propagation. Big Data Res. 24: 100217 (2021) - [j18]Yuxin Zhang, Bohan Li, Han Gao, Ye Ji, Han Yang, Meng Wang, Weitong Chen:
Fine-Grained Evaluation of Knowledge Graph Embedding Model in Knowledge Enhancement Downstream Tasks. Big Data Res. 25: 100218 (2021) - [j17]Meng Wang, Weitong Chen, Sen Wang, Yinlin Jiang, Lina Yao, Guilin Qi:
Efficient search over incomplete knowledge graphs in binarized embedding space. Future Gener. Comput. Syst. 123: 24-34 (2021) - [j16]Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue:
Adversarially regularized medication recommendation model with multi-hop memory network. Knowl. Inf. Syst. 63(1): 125-142 (2021) - [j15]Bohan Li, Ruochen Liang, Di Zhu, Weitong Chen, Qinyong Lin:
Blockchain-Based Trust Management Model for Location Privacy Preserving in VANET. IEEE Trans. Intell. Transp. Syst. 22(6): 3765-3775 (2021) - [j14]Lin Yue, Hao Shen, Sen Wang, Robert Boots, Guodong Long, Weitong Chen, Xiaowei Zhao:
Exploring BCI Control in Smart Environments: Intention Recognition Via EEG Representation Enhancement Learning. ACM Trans. Knowl. Discov. Data 15(5): 90:1-90:20 (2021) - 2020
- [j13]Ken Cai, Hongwei Yue, Bohan Li, Weitong Chen, Wenhua Huang:
Combining Chrominance Features and Fast ICA for Noncontact Imaging Photoplethysmography. IEEE Access 8: 50171-50179 (2020) - [j12]Bohan Li, Anman Zhang, Weitong Chen, Hai-Lian Yin, Ken Cai:
Active cross-query learning: A reliable labeling mechanism via crowdsourcing for smart surveillance. Comput. Commun. 152: 149-154 (2020) - [j11]Lin Yue, Dongyuan Tian, Weitong Chen, Xuming Han, Minghao Yin:
Deep learning for heterogeneous medical data analysis. World Wide Web 23(5): 2715-2737 (2020) - [j10]Yanda Wang, Weitong Chen, Dechang Pi, Robert Boots:
Graph augmented triplet architecture for fine-grained patient similarity. World Wide Web 23(5): 2739-2752 (2020) - [j9]Weitong Chen, Guodong Long, Lina Yao, Quan Z. Sheng:
AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction. World Wide Web 23(5): 2753-2770 (2020) - 2019
- [j8]Yuwen Li, Weitong Chen, Deyin Liu, Zhimin Zhang, Shunxiang Wu, Chengyu Liu:
IFFLC: An Integrated Framework of Feature Learning and Classification for Multiple Diagnosis Codes Assignment. IEEE Access 7: 36810-36818 (2019) - [j7]Jingwei Ma, Jiahui Wen, Mingyang Zhong, Weitong Chen, Xue Li:
MMM: Multi-source Multi-net Micro-video Recommendation with Clustered Hidden Item Representation Learning. Data Sci. Eng. 4(3): 240-253 (2019) - [j6]Lin Yue, Weitong Chen, Xue Li, Wanli Zuo, Minghao Yin:
A survey of sentiment analysis in social media. Knowl. Inf. Syst. 60(2): 617-663 (2019) - 2018
- [j5]Meng Wang, Weitong Chen, Sen Wang, Jun Liu, Xue Li, Bela Stantic:
Answering why-not questions on semantic multimedia queries. Multim. Tools Appl. 77(3): 3405-3429 (2018) - 2017
- [j4]Lin Yue, Zhenkun Shi, Jiayu Han, Sen Wang, Weitong Chen, Wanli Zuo:
Multi-factors based sentence ordering for cross-document fusion from multimodal content. Neurocomputing 253: 6-14 (2017) - [j3]Yongjian Yang, Yuanbo Xu, Jiayu Han, En Wang, Weitong Chen, Lin Yue:
Efficient traffic congestion estimation using multiple spatio-temporal properties. Neurocomputing 267: 344-353 (2017) - 2016
- [j2]Sen Wang, Xiaojun Chang, Xue Li, Quan Z. Sheng, Weitong Chen:
Multi-task support vector machines for feature selection with shared knowledge discovery. Signal Process. 120: 746-753 (2016) - [j1]Sen Wang, Pingbo Pan, Guodong Long, Weitong Chen, Xue Li, Quan Z. Sheng:
Compact representation for large-scale unconstrained video analysis. World Wide Web 19(2): 231-246 (2016)
Conference and Workshop Papers
- 2024
- [c52]Kun Han, Abigail M. Y. Koay, Ryan K. L. Ko, Weitong Chen, Miao Xu:
Mining Irregular Time Series Data with Noisy Labels: A Risk Estimation Approach. ADC 2024: 293-307 - [c51]Yibo Sun, Bingyu Yang, Enliang Wang, Jing Gong, Weitong Chen, Zhe Sun:
Distributed Industrial Digital Twinning Scheme in 6G Future Scenarios. ADMA (1) 2024: 33-46 - [c50]Chang George Dong, Zhengyang David Li, Liangwei Nathan Zheng, Weitong Chen, Wei Emma Zhang:
Boosting Certificate Robustness for Time Series Classification with Efficient Self-Ensemble. CIKM 2024: 477-486 - [c49]Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Xin Chen, Lin Yue, Weitong Chen:
Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction. CIKM 2024: 3395-3404 - [c48]Liangwei Nathan Zheng, Zhengyang Li, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen:
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics. CIKM 2024: 3405-3414 - [c47]Haojie Zhuang, Wei Emma Zhang, Jian Yang, Weitong Chen, Quan Z. Sheng:
Not All Negatives are Equally Negative: Soft Contrastive Learning for Unsupervised Sentence Representations. CIKM 2024: 3591-3601 - [c46]Xiao Tan, Zhaoyang Wang, Meng Wang, Dian Shen, Weitong Chen, Beilun Wang:
Large Covariance Estimation from Streaming Data with Knowledge-Based Sketch Matrix. DASFAA (5) 2024: 493-502 - [c45]Shaofei Shen, Chenhao Zhang, Yawen Zhao, Alina Bialkowski, Weitong Chen, Miao Xu:
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models. ICLR 2024 - [c44]Yutong Qu, Jian Yang, Wei Emma Zhang, Weitong Chen, Hong Qing Yu:
Data-Product Catalogues: Envisioning with Knowledge-aware Natural Language Processing. ICWS 2024: 45-54 - [c43]Ali Shakeri, Perry Chen, Yanjun Shu, Lishan Yang, Wei Emma Zhang, Weitong Chen:
Transforming Data Product Generation through Federated Learning: An Exploration of FL Applications in Data Ecosystems. ICWS 2024: 84-91 - [c42]Haojie Zhuang, Wei Emma Zhang, Leon Xie, Weitong Chen, Jian Yang, Quan Sheng:
Automatic, Meta and Human Evaluation for Multimodal Summarization with Multimodal Output. NAACL-HLT 2024: 7768-7790 - [c41]Shaofei Shen, Chenhao Zhang, Alina Bialkowski, Weitong Chen, Miao Xu:
CaMU: Disentangling Causal Effects in Deep Model Unlearning. SDM 2024: 779-787 - 2023
- [c40]Di Zhu, Yi Liu, Weitong Chen, Yanda Wang, Yefan Huang, Xiaoli Wang, Ken Cai, Bohan Li:
Graph Convolution Synthetic Transformer for Chronic Kidney Disease Onset Prediction. ADMA (3) 2023: 33-47 - [c39]Lipin Guo, Wei Emma Zhang, Weitong Chen, Ni Yang, Queen Nguyen, Trung Duc Vo:
Oyster Mushroom Growth Stage Identification: An Exploration of Computer Vision Technologies. AI (1) 2023: 67-78 - [c38]Chang George Dong, Liangwei Nathan Zheng, Weitong Chen, Wei Emma Zhang, Lin Yue:
SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series. ICKG 2023: 117-125 - [c37]Yixuan Qiu, Weitong Chen, Miao Xu:
A Progressive Sampling Method for Dual-Node Imbalanced Learning with Restricted Data Access. ICDM 2023: 508-517 - [c36]Shaofei Shen, Mingzhe Zhang, Weitong Chen, Alina Bialkowski, Miao Xu:
Words Can Be Confusing: Stereotype Bias Removal in Text Classification at the Word Level. PAKDD (4) 2023: 99-111 - [c35]Zicong Wen, Wei Emma Zhang, Lipin Guo, Weitong Chen:
Demo Abstract: Navigating Indoors: A Cost-effective Drone-based Solution. SenSys 2023: 496-497 - 2022
- [c34]Shaofei Shen, Miao Xu, Lin Yue, Robert Boots, Weitong Chen:
Death Comes But Why: An Interpretable Illness Severity Predictions in ICU. APWeb/WAIM (1) 2022: 60-75 - [c33]Lin Yue, Yuxuan Zhang, Xiaowei Zhao, Zhe Zhang, Weitong Chen:
Improving Motor Imagery Intention Recognition via Local Relation Networks. APWeb/WAIM (1) 2022: 345-356 - [c32]Yihang Zhang, Xuming Han, Limin Wang, Weitong Chen, Linliang Guo:
SSCG: Spatial Subcluster Clustering Method by Grid-Connection. APWeb/WAIM (2) 2022: 430-443 - [c31]Khai Phan Tran, Weitong Chen, Miao Xu:
Improving Traffic Load Prediction with Multi-modality - A Case Study of Brisbane. AI 2022: 254-266 - [c30]Shaofei Shen, Weitong Chen, Miao Xu:
What Leads to Arrhythmia: Active Causal Representation Learning of ECG Classification. AI 2022: 501-515 - [c29]Kun Han, Weitong Chen, Miao Xu:
Investigating Active Positive-Unlabeled Learning with Deep Networks. AI 2022: 607-618 - [c28]Yalei Zang, Yi Liu, Weitong Chen, Bohan Li, Aoran Li, Lin Yue, Weihua Ma:
GISDCN: A Graph-Based Interpolation Sequential Recommender with Deformable Convolutional Network. DASFAA (2) 2022: 289-297 - [c27]Chenhao Zhang, Yanjun Zhang, Jeff Mao, Weitong Chen, Lin Yue, Guangdong Bai, Miao Xu:
Towards Better Generalization for Neural Network-Based SAT Solvers. PAKDD (2) 2022: 199-210 - 2021
- [c26]Lin Yue, Dongyuan Tian, Jing Jiang, Lina Yao, Weitong Chen, Xiaowei Zhao:
Intention Recognition from Spatio-Temporal Representation of EEG Signals. ADC 2021: 1-12 - [c25]Yixuan Qiu, Weitong Chen, Lin Yue, Miao Xu, Baofeng Zhu:
STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition. ADMA 2021: 86-100 - [c24]Chunyu Liu, Yongjian Yang, Zijun Yao, Yuanbo Xu, Weitong Chen, Lin Yue, Haomeng Wu:
Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces. CIKM 2021: 1048-1057 - [c23]Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Miao Xu, Xue Li:
Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation. CIKM 2021: 2020-2029 - [c22]Bing Liu, Guido Zuccon, Wen Hua, Weitong Chen:
Diagnosis Ranking with Knowledge Graph Convolutional Networks. ECIR (1) 2021: 359-374 - [c21]Guangxin Su, Weitong Chen, Miao Xu:
Positive-Unlabeled Learning from Imbalanced Data. IJCAI 2021: 2995-3001 - [c20]Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Sen Wang, Miao Xu:
Self-Supervised Adversarial Distribution Regularization for Medication Recommendation. IJCAI 2021: 3134-3140 - 2019
- [c19]Zhimin Zhang, Weitong Chen, Chengyu Liu, Yun Kang, Feng Liu, Yuwen Li, Shoushui Wei:
Robust Feature Selection Based on Fuzzy Rough Sets with Representative Sample. ADMA 2019: 151-165 - [c18]Jingwei Ma, Mingyang Zhong, Jiahui Wen, Weitong Chen, Xiaofang Zhou, Xue Li:
RecKGC: Integrating Recommendation with Knowledge Graph Completion. ADMA 2019: 250-265 - [c17]Weitong Chen, Lin Yue, Bohan Li, Can Wang, Quan Z. Sheng:
DAMTRNN: A Delta Attention-Based Multi-task RNN for Intention Recognition. ADMA 2019: 373-388 - [c16]Zhenkun Shi, Weitong Chen, Shining Liang, Wanli Zuo, Lin Yue, Sen Wang:
Deep Interpretable Mortality Model for Intensive Care Unit Risk Prediction. ADMA 2019: 617-631 - [c15]Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Hongkui Tu, Xue Li:
DBRec: Dual-Bridging Recommendation via Discovering Latent Groups. CIKM 2019: 1513-1522 - [c14]Zhenkun Shi, Wanli Zuo, Weitong Chen, Lin Yue, Yuwei Hao, Shining Liang:
DMMAM: Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis. DASFAA (2) 2019: 53-69 - [c13]Xin Xu, Zeyu Huang, Jingyi Wu, Yanjie Fu, Na Luo, Weitong Chen, Jianan Wang, Minghao Yin:
Finding the Key Influences on the House Price by Finite Mixture Model Based on the Real Estate Data in Changchun. DASFAA (3) 2019: 378-382 - [c12]Jingwei Ma, Jiahui Wen, Mingyang Zhong, Weitong Chen, Xiaofang Zhou, Jadwiga Indulska:
Multi-source Multi-net Micro-video Recommendation with Hidden Item Category Discovery. DASFAA (2) 2019: 384-400 - [c11]Yanda Wang, Weitong Chen, Bohan Li, Robert Boots:
Learning Fine-Grained Patient Similarity with Dynamic Bayesian Network Embedded RNNs. DASFAA (1) 2019: 587-603 - [c10]Ruijie Wang, Meng Wang, Jun Liu, Weitong Chen, Michael Cochez, Stefan Decker:
Leveraging Knowledge Graph Embeddings for Natural Language Question Answering. DASFAA (1) 2019: 659-675 - 2018
- [c9]Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots, Boualem Benatallah:
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface. AAAI 2018: 1703-1710 - [c8]Weitong Chen, Sen Wang, Guodong Long, Lina Yao, Quan Z. Sheng, Xue Li:
Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit. ICDM 2018: 917-922 - [c7]Chandra Prasetyo Utomo, Xue Li, Weitong Chen:
Treatment Recommendation in Critical Care: A Scalable and Interpretable Approach in Partially Observable Health States. ICIS 2018 - [c6]Weitong Chen, Sen Wang, Xiang Zhang, Lina Yao, Lin Yue, Buyue Qian, Xue Li:
EEG-based Motion Intention Recognition via Multi-task RNNs. SDM 2018: 279-287 - 2017
- [c5]Yuanhao Zheng, Bifan Wei, Jun Liu, Meng Wang, Weitong Chen, Bei Wu, Yihe Chen:
Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning. ADMA 2017: 655-667 - [c4]Zhenkun Shi, Wanli Zuo, Weitong Chen, Lin Yue, Jiayu Han, Lizhou Feng:
User Relation Prediction Based on Matrix Factorization and Hybrid Particle Swarm Optimization. WWW (Companion Volume) 2017: 1335-1341 - [c3]Hongxu Chen, Hongzhi Yin, Xue Li, Meng Wang, Weitong Chen, Tong Chen:
People Opinion Topic Model: Opinion based User Clustering in Social Networks. WWW (Companion Volume) 2017: 1353-1359 - 2016
- [c2]Bohan Li, Chao Zhang, Weitong Chen, Yingbao Yang, Shaohong Feng, Qiqian Zhang, Weiwei Yuan, Dongjing Li:
Dynamic Reverse Furthest Neighbor Querying Algorithm of Moving Objects. ADMA 2016: 266-279 - [c1]Min Xie, Hongzhi Yin, Hao Wang, Fanjiang Xu, Weitong Chen, Sen Wang:
Learning Graph-based POI Embedding for Location-based Recommendation. CIKM 2016: 15-24
Editorship
- 2022
- [e4]Bohan Li, Lin Yue, Jing Jiang, Weitong Chen, Xue Li, Guodong Long, Fei Fang, Han Yu:
Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13087, Springer 2022, ISBN 978-3-030-95404-8 [contents] - [e3]Bohan Li, Lin Yue, Jing Jiang, Weitong Chen, Xue Li, Guodong Long, Fei Fang, Han Yu:
Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13088, Springer 2022, ISBN 978-3-030-95407-9 [contents] - [e2]Weitong Chen, Lina Yao, Taotao Cai, Shirui Pan, Tao Shen, Xue Li:
Advanced Data Mining and Applications - 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13725, Springer 2022, ISBN 978-3-031-22063-0 [contents] - [e1]Weitong Chen, Lina Yao, Taotao Cai, Shirui Pan, Tao Shen, Xue Li:
Advanced Data Mining and Applications - 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13726, Springer 2022, ISBN 978-3-031-22136-1 [contents]
Informal and Other Publications
- 2024
- [i15]Shaofei Shen, Chenhao Zhang, Alina Bialkowski, Weitong Chen, Miao Xu:
CaMU: Disentangling Causal Effects in Deep Model Unlearning. CoRR abs/2401.17504 (2024) - [i14]Shaofei Shen, Chenhao Zhang, Yawen Zhao, Alina Bialkowski, Weitong Chen, Miao Xu:
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models. CoRR abs/2404.00506 (2024) - [i13]Xinyi Wang, Grazziela P. Figueredo, Ruizhe Li, Wei Emma Zhang, Weitong Chen, Xin Chen:
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data. CoRR abs/2405.12833 (2024) - [i12]Chenhao Zhang, Shaofei Shen, Yawen Zhao, Weitong Tony Chen, Miao Xu:
GENIU: A Restricted Data Access Unlearning for Imbalanced Data. CoRR abs/2406.07885 (2024) - [i11]Wenhao Liang, Zhengyang Li, Weitong Chen:
Enhancing Financial Market Predictions: Causality-Driven Feature Selection. CoRR abs/2408.01005 (2024) - [i10]Chang Dong, Liangwei Zheng, Weitong Chen, Wei Emma Zhang:
Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis. CoRR abs/2408.07314 (2024) - [i9]Zhengyang Li, Wenhao Liang, Chang Dong, Weitong Chen, Dong Huang:
Correlation Analysis of Adversarial Attack in Time Series Classification. CoRR abs/2408.11264 (2024) - [i8]Chang Dong, Zhengyang Li, Liangwei Zheng, Weitong Chen, Wei Emma Zhang:
Boosting Certified Robustness for Time Series Classification with Efficient Self-Ensemble. CoRR abs/2409.02802 (2024) - [i7]Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Xin Chen, Lin Yue, Weitong Chen:
Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction. CoRR abs/2410.12249 (2024) - [i6]Liangwei Nathan Zheng, Zhengyang Li, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen:
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics. CoRR abs/2410.12257 (2024) - [i5]Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen:
Revisited Large Language Model for Time Series Analysis through Modality Alignment. CoRR abs/2410.12326 (2024) - 2023
- [i4]Chang George Dong, Liangwei Nathan Zheng, Weitong Chen, Wei Emma Zhang, Lin Yue:
SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series. CoRR abs/2309.02752 (2023) - 2022
- [i3]Yawen Zhao, Mingzhe Zhang, Chenhao Zhang, Tony Chen, Nan Ye, Miao Xu:
A Boosting Algorithm for Positive-Unlabeled Learning. CoRR abs/2205.09485 (2022) - 2019
- [i2]Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Hongkui Tu, Xue Li:
DBRec: Dual-Bridging Recommendation via Discovering Latent Groups. CoRR abs/1909.12301 (2019) - 2017
- [i1]Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots:
EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks. CoRR abs/1708.06578 (2017)
Coauthor Index
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