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2020 – today
- 2025
[j19]Jianfu Zhang
, Yan Hong, Dawei Cheng, Liqing Zhang, Qibin Zhao:
Defending adversarial attacks in Graph Neural Networks via tensor enhancement. Pattern Recognit. 158: 110954 (2025)- 2024
- [j18]Jiangtong Li, Yang Lei, Yuxuan Bian, Dawei Cheng, Zhijun Ding, Changjun Jiang:
RA-CFGPT: Chinese financial assistant with retrieval-augmented large language model. Frontiers Comput. Sci. 18(5): 185350 (2024) - [j17]Zelin Ying, Dawei Cheng, Cen Chen, Xiang Li, Peng Zhu, Yifeng Luo, Yuqi Liang:
Predicting stock market trends with self-supervised learning. Neurocomputing 568: 127033 (2024) - [j16]Fan Li, Zhiyu Xu, Dawei Cheng, Xiaoyang Wang:
AdaRisk: Risk-Adaptive Deep Reinforcement Learning for Vulnerable Nodes Detection. IEEE Trans. Knowl. Data Eng. 36(11): 5576-5590 (2024) - [c55]Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang:
Pre-trained Online Contrastive Learning for Insurance Fraud Detection. AAAI 2024: 22511-22519 - [c54]Kaiming Pan, Yifan Hu, Li Han, Haoyu Sun, Dawei Cheng, Yuqi Liang:
Cross-contextual Sequential Optimization via Deep Reinforcement Learning for Algorithmic Trading. CIKM 2024: 4811-4818 - [c53]Haoyu Sun, Yuxuan Bian, Li Han, Peng Zhu, Dawei Cheng, Yuqi Liang:
Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization. CIKM 2024: 4898-4905 - [c52]Peng Zhu, Yuante Li, Yifan Hu, Qinyuan Liu, Dawei Cheng, Yuqi Liang:
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU. CIKM 2024: 5135-5142 - [c51]Yao Zou, Sheng Xiang, Qijun Miao, Dawei Cheng, Changjun Jiang:
Subgraph Patterns Enhanced Graph Neural Network for Fraud Detection. DASFAA (6) 2024: 375-384 - [c50]Yuxuan Bian, Haoyu Sun, Yang Lei, Peng Zhu, Dawei Cheng:
NGDRL: A Dynamic News Graph-Based Deep Reinforcement Learning Framework for Portfolio Optimization. DASFAA (6) 2024: 407-417 - [c49]Jinyuan Wang, Zhong Wang, Zeyang Zhu, Jinhao Xie, Yong Yu, Yongjian Fei, Yue Huang, Dawei Cheng, Hai Zhao:
CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market. DEXA (1) 2024: 3-17 - [c48]Jianfu Zhang, Yan Hong, Dawei Cheng, Liqing Zhang, Qibin Zhao:
Hierarchical Attacks on Large-Scale Graph Neural Networks. ICASSP 2024: 7635-7639 - [c47]Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang:
Graph Lottery Ticket Automated. ICLR 2024 - [c46]Yuxuan Bian, Xuan Ju, Jiangtong Li, Zhijian Xu, Dawei Cheng, Qiang Xu:
Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning. ICML 2024 - [c45]Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen:
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. ICML 2024 - [c44]Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin:
Hypergraph Self-supervised Learning with Sampling-efficient Signals. IJCAI 2024: 4398-4406 - [c43]Jiasheng Wu, Xin Liu, Dawei Cheng, Yi Ouyang, Xian Wu, Yefeng Zheng:
Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach. IJCAI 2024: 7500-7508 - [c42]Yao Zou, Dawei Cheng:
Effective High-order Graph Representation Learning for Credit Card Fraud Detection. IJCAI 2024: 7581-7589 - [c41]Yisheng Hu, Guitao Cao, Dawei Cheng:
HWSformer: History Window Serialization Based Transformer for Semantic Enrichment Driven Stock Market Prediction. IJCNN 2024: 1-8 - [c40]Haoyu Sun, Xin Liu, Yuxuan Bian, Peng Zhu, Dawei Cheng, Yuqi Liang:
Asymmetric Graph-Based Deep Reinforcement Learning for Portfolio Optimization. ECML/PKDD (9) 2024: 174-189 - [i23]Guibin Zhang, Yanwei Yue, Kun Wang, Junfeng Fang, Yongduo Sui, Kai Wang, Yuxuan Liang, Dawei Cheng, Shirui Pan, Tianlong Chen:
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness. CoRR abs/2402.01242 (2024) - [i22]Yuxuan Bian, Xuan Ju, Jiangtong Li, Zhijian Xu, Dawei Cheng, Qiang Xu:
Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning. CoRR abs/2402.04852 (2024) - [i21]Rui Zhang, Dawei Cheng, Xin Liu, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng:
Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection. CoRR abs/2403.10339 (2024) - [i20]Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin:
Hypergraph Self-supervised Learning with Sampling-efficient Signals. CoRR abs/2404.11825 (2024) - [i19]Yifan Hu, Peiyuan Liu, Peng Zhu, Dawei Cheng, Tao Dai:
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting. CoRR abs/2406.03751 (2024) - [i18]Peng Zhu, Yuante Li, Yifan Hu, Qinyuan Liu, Dawei Cheng, Yuqi Liang:
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU. CoRR abs/2409.08282 (2024) - [i17]Guibin Zhang, Yanwei Yue, Zhixun Li, Sukwon Yun, Guancheng Wan, Kun Wang, Dawei Cheng, Jeffrey Xu Yu, Tianlong Chen:
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems. CoRR abs/2410.02506 (2024) - [i16]Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin:
TCGU: Data-centric Graph Unlearning based on Transferable Condensation. CoRR abs/2410.06480 (2024) - [i15]Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Dawei Cheng:
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks. CoRR abs/2410.11782 (2024) - [i14]Guibin Zhang, Haonan Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang:
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning. CoRR abs/2410.13761 (2024) - [i13]Peng Zhu, Yuante Li, Yifan Hu, Sheng Xiang, Qinyuan Liu, Dawei Cheng, Yuqi Liang:
MCI-GRU: Stock Prediction Model Based on Multi-Head Cross-Attention and Improved GRU. CoRR abs/2410.20679 (2024) - 2023
- [j15]Dawei Cheng, Zhong Lu, Jia Zhou, Xihui Liang:
An optimizing maintenance policy for airborne redundant systems operating with faults by using Markov process and NSGA-II. Reliab. Eng. Syst. Saf. 236: 109257 (2023) - [j14]Yibo Yan, Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo:
Adversarial Multi-task Learning for Efficient Chinese Named Entity Recognition. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(7): 193:1-193:19 (2023) - [j13]Dawei Cheng, Chen Chen, Xiaoyang Wang, Sheng Xiang:
Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs. IEEE Trans. Knowl. Data Eng. 35(2): 1460-1472 (2023) - [j12]Dawei Cheng, Zhibin Niu, Jie Li, Changjun Jiang:
Regulating Systemic Crises: Stemming the Contagion Risk in Networked-Loans Through Deep Graph Learning. IEEE Trans. Knowl. Data Eng. 35(6): 6278-6289 (2023) - [j11]Dawei Cheng, Yujia Ye, Sheng Xiang, Zhenwei Ma, Ying Zhang, Changjun Jiang:
Anti-Money Laundering by Group-Aware Deep Graph Learning. IEEE Trans. Knowl. Data Eng. 35(12): 12444-12457 (2023) - [j10]Dawei Cheng, Zhibin Niu, Liqing Zhang:
Delinquent Events Prediction in Temporal Networked-Guarantee Loans. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1692-1704 (2023) - [c39]Dawei Cheng, Zhibin Niu, Jianfu Zhang, Yiyi Zhang, Changjun Jiang:
Critical Firms Prediction for Stemming Contagion Risk in Networked-Loans through Graph-Based Deep Reinforcement Learning. AAAI 2023: 14205-14213 - [c38]Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng:
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation. AAAI 2023: 14557-14565 - [c37]Zhenzhen Chu, Chengyu Wang, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian:
Learning Invariant Representations for New Product Sales Forecasting via Multi-Granularity Adversarial Learning. CIKM 2023: 3828-3832 - [c36]Taolin Zhang, Ruyao Xu, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian:
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. EMNLP 2023: 15663-15676 - [c35]Junyi Liu, Dawei Cheng, Changjun Jiang:
Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network. IJCAI 2023: 6085-6093 - [c34]Jiacheng Ma, Fan Li, Rui Zhang, Zhikang Xu, Dawei Cheng, Yi Ouyang, Ruihui Zhao, Jianguang Zheng, Yefeng Zheng, Changjun Jiang:
Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network. IJCAI 2023: 6138-6146 - [c33]Li Han, Nan Ding, Guoxuan Wang, Dawei Cheng, Yuqi Liang:
Efficient Continuous Space Policy Optimization for High-frequency Trading. KDD 2023: 4112-4122 - [i12]Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang:
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction. CoRR abs/2305.08740 (2023) - [i11]Jinyuan Wang, Hai Zhao, Zhong Wang, Zeyang Zhu, Jinhao Xie, Yong Yu, Yongjian Fei, Yue Huang, Dawei Cheng:
CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market. CoRR abs/2309.04389 (2023) - [i10]Jiangtong Li, Yuxuan Bian, Guoxuan Wang, Yang Lei, Dawei Cheng, Zhijun Ding, Changjun Jiang:
CFGPT: Chinese Financial Assistant with Large Language Model. CoRR abs/2309.10654 (2023) - [i9]Yang Lei, Jiangtong Li, Ming Jiang, Junjie Hu, Dawei Cheng, Zhijun Ding, Changjun Jiang:
CFBenchmark: Chinese Financial Assistant Benchmark for Large Language Model. CoRR abs/2311.05812 (2023) - [i8]Ruyao Xu, Taolin Zhang, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian:
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. CoRR abs/2311.06761 (2023) - 2022
- [j9]Peng Zhu, Dawei Cheng, Siqiang Luo, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou:
SI-News: Integrating social information for news recommendation with attention-based graph convolutional network. Neurocomputing 494: 33-42 (2022) - [j8]Dawei Cheng, Fangzhou Yang, Sheng Xiang, Jin Liu:
Financial time series forecasting with multi-modality graph neural network. Pattern Recognit. 121: 108218 (2022) - [j7]Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Dingjiang Huang, Weining Qian, Aoying Zhou:
Improving Chinese Named Entity Recognition by Large-Scale Syntactic Dependency Graph. IEEE ACM Trans. Audio Speech Lang. Process. 30: 979-991 (2022) - [j6]Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang:
Graph Neural Network for Fraud Detection via Spatial-Temporal Attention. IEEE Trans. Knowl. Data Eng. 34(8): 3800-3813 (2022) - [j5]Dong Wen, Bohua Yang, Ying Zhang, Lu Qin, Dawei Cheng, Wenjie Zhang:
Span-reachability querying in large temporal graphs. VLDB J. 31(4): 629-647 (2022) - [j4]Sheng Xiang, Dong Wen, Dawei Cheng, Ying Zhang, Lu Qin, Zhengping Qian, Xuemin Lin:
General graph generators: experiments, analyses, and improvements. VLDB J. 31(5): 897-925 (2022) - [j3]Peng Zhu, Dawei Cheng, Siqiang Luo, Ruyao Xu, Yuqi Liang, Yifeng Luo:
Leveraging enterprise knowledge graph to infer web events' influences via self-supervised learning. J. Web Semant. 74: 100722 (2022) - [c32]Zhongjie Duan, Cen Chen, Dawei Cheng, Yuqi Liang, Weining Qian:
Optimal Action Space Search: An Effective Deep Reinforcement Learning Method for Algorithmic Trading. CIKM 2022: 406-415 - [c31]Sheng Xiang, Dawei Cheng, Chencheng Shang, Ying Zhang, Yuqi Liang:
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction. CIKM 2022: 3584-3593 - [c30]Moming Tang, Dawei Cheng, Cen Chen, Yuqi Liang, Yifeng Luo, Weining Qian:
TaskSum: Task-Driven Extractive Text Summarization for Long News Documents Based on Reinforcement Learning. DASFAA (3) 2022: 306-313 - [c29]Ruyao Xu, Dawei Cheng, Cen Chen, Siqiang Luo, Yifeng Luo, Weining Qian:
Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination. DASFAA (3) 2022: 455-467 - [c28]Yingying Zhao, Haoyu Sun, Naiwang Guo, Yi Wu, Yingjie Tian, Dawei Cheng:
Improving Anomaly Detection in Smart Grid Big Data with Knowledge Graphs. EITCE 2022: 707-711 - [c27]Dawei Cheng, Chen Chen, Xiaoyang Wang, Sheng Xiang:
Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs (Extended abstract). ICDE 2022: 1547-1548 - [c26]Sheng Xiang, Dawei Cheng, Jianfu Zhang, Zhenwei Ma, Xiaoyang Wang, Ying Zhang:
Efficient Learning-based Community-Preserving Graph Generation. ICDE 2022: 1982-1994 - 2021
- [c25]Xueni Luo, Dawei Cheng, Haorui Ma, Junhao Wang, Mengzhen Fan, Yifeng Luo:
Leveraging Domain Information to Classify Financial Documents via Unsupervised Graph Momentum Contrast. CIKM 2021: 3298-3302 - [c24]Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou:
ZH-NER: Chinese Named Entity Recognition with Adversarial Multi-task Learning and Self-Attentions. DASFAA (2) 2021: 603-611 - [i7]Zhibin Niu, Junqi Wu, Dawei Cheng, Jiawan Zhang:
Regshock: Interactive Visual Analytics of Systemic Risk in Financial Networks. CoRR abs/2104.11863 (2021) - 2020
- [c23]Dawei Cheng, Sheng Xiang, Chencheng Shang, Yiyi Zhang, Fangzhou Yang, Liqing Zhang:
Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection. AAAI 2020: 362-369 - [c22]Yi Tu, Li Niu, Weijie Zhao, Dawei Cheng, Liqing Zhang:
Image Cropping with Composition and Saliency Aware Aesthetic Score Map. AAAI 2020: 12104-12111 - [c21]Yiyi Zhang, Li Niu, Ziqi Pan, Meichao Luo, Jianfu Zhang, Dawei Cheng, Liqing Zhang:
Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition. AAAI 2020: 12918-12925 - [c20]Mengzhen Fan, Dawei Cheng, Fangzhou Yang, Siqiang Luo, Yifeng Luo, Weining Qian, Aoying Zhou:
Fusing Global Domain Information and Local Semantic Information to Classify Financial Documents. CIKM 2020: 2413-2420 - [c19]Yi Tu, Li Niu, Junjie Chen, Dawei Cheng, Liqing Zhang:
Learning From Web Data With Self-Organizing Memory Module. CVPR 2020: 12843-12852 - [c18]Xiufeng Liu, Zhibin Niu, Yanyan Yang, Junqi Wu, Dawei Cheng, Xin Wang:
VAP: A Visual Analysis Tool for Energy Consumption Spatio-temporal Pattern Discovery. EDBT 2020: 579-582 - [c17]Zhibin Niu, Runlin Li, Junqi Wu, Dawei Cheng, Jiawan Zhang:
iConViz: Interactive Visual Exploration of the Default Contagion Risk of Networked-Guarantee Loans. IEEE VAST@IEEE VIS 2020: 84-94 - [c16]Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang:
Risk Guarantee Prediction in Networked-Loans. IJCAI 2020: 4483-4489 - [c15]Xin Liang, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou:
F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification. IJCAI 2020: 4490-4496 - [c14]Dawei Cheng, Zhibin Niu, Yiyi Zhang:
Contagious Chain Risk Rating for Networked-guarantee Loans. KDD 2020: 2715-2723 - [c13]Dawei Cheng, Fangzhou Yang, Xiaoyang Wang, Ying Zhang, Liqing Zhang:
Knowledge Graph-based Event Embedding Framework for Financial Quantitative Investments. SIGIR 2020: 2221-2230
2010 – 2019
- 2019
- [j2]Dawei Cheng, Yi Tu, Zhen-Wei Ma, Zhibin Niu, Liqing Zhang:
BHONEM: Binary High-Order Network Embedding Methods for Networked-Guarantee Loans. J. Comput. Sci. Technol. 34(3): 657-669 (2019) - [c12]Dawei Cheng, Yiyi Zhang, Fangzhou Yang, Yi Tu, Zhibin Niu, Liqing Zhang:
A Dynamic Default Prediction Framework for Networked-guarantee Loans. CIKM 2019: 2547-2555 - [c11]Yuanzhe Chen, Jun Kuang, Dawei Cheng, Jianbin Zheng, Ming Gao, Aoying Zhou:
AgriKG: An Agricultural Knowledge Graph and Its Applications. DASFAA (3) 2019: 533-537 - [c10]Dawei Cheng, Yi Tu, Zhen-Wei Ma, Zhibin Niu, Liqing Zhang:
Risk Assessment for Networked-guarantee Loans Using High-order Graph Attention Representation. IJCAI 2019: 5822-5828 - [i6]Yi Tu, Li Niu, Dawei Cheng, Liqing Zhang:
ProtoNet: Learning from Web Data with Memory. CoRR abs/1906.12028 (2019) - [i5]Yi Tu, Li Niu, Weijie Zhao, Dawei Cheng, Liqing Zhang:
Image Cropping with Composition and Saliency Aware Aesthetic Score Map. CoRR abs/1911.10492 (2019) - [i4]Yiyi Zhang, Li Niu, Ziqi Pan, Meichao Luo, Jianfu Zhang, Dawei Cheng, Liqing Zhang:
Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition. CoRR abs/1912.00308 (2019) - [i3]Dawei Cheng, Xiaoyang Wang, Ying Zhang, Shunzhang Wang:
VulnDS: Top-k Vulnerable SME Detection System in Networked-Loans. CoRR abs/1912.12383 (2019) - 2018
- [j1]Dawei Cheng, Ye Liu, Zhibin Niu, Liqing Zhang:
Modeling Similarities Among Multi-Dimensional Financial Time Series. IEEE Access 6: 43404-43413 (2018) - [c9]Zhibin Niu, Dawei Cheng, Liqing Zhang, Jiawan Zhang:
Visual Analytics for Networked-Guarantee Loans Risk Management. PacificVis 2018: 160-169 - [c8]Dawei Cheng, Ye Liu, Liqing Zhang:
Exploring Motor Imagery Eeg Patterns for Stroke Patients with Deep Neural Networks. ICASSP 2018: 2561-2565 - [c7]Dawei Cheng, Yi Tu, Zhibin Niu, Liqing Zhang:
Learning Temporal Relationships Between Financial Signals. ICASSP 2018: 2641-2645 - [c6]Dawei Cheng, Zhibin Niu, Yi Tu, Liqing Zhang:
Prediction Defaults for Networked-guarantee Loans. ICPR 2018: 361-366 - [c5]Dawei Cheng, Chun Cao, Chang Xu, Xiaoxing Ma:
Manifesting Bugs in Machine Learning Code: An Explorative Study with Mutation Testing. QRS 2018: 313-324 - 2017
- [i2]Zhibin Niu, Dawei Cheng, Junchi Yan, Jiawan Zhang, Liqing Zhang, Hongyuan Zha:
A hybrid approach for risk assessment of loan guarantee network. CoRR abs/1702.04642 (2017) - [i1]Dawei Cheng, Zhibin Niu, Junchi Yan, Jiawan Zhang, Liqing Zhang:
Visual analytics for loan guarantee network risk management. CoRR abs/1705.02937 (2017) - 2016
- [c4]Kang Fu, Dawei Cheng, Yi Tu, Liqing Zhang:
Credit Card Fraud Detection Using Convolutional Neural Networks. ICONIP (3) 2016: 483-490 - 2014
- [c3]Dawei Cheng, Mingyang An, Weiqian Yu, Liang Fang:
Learning Dynamic Models of Gaze Point Mapping from Eye Movement. ICIMCS 2014: 289 - 2013
- [c2]Dawei Cheng, Wenxi Zhu, Danqiong Li, Zhen Zhou:
A new collaborative sketching method on web browser. APCHI 2013: 286-290 - [c1]Dawei Cheng, Danqiong Li, Liang Fang:
A cluster information navigate method by gaze tracking. UIST (Adjunct Volume) 2013: 61-62
Coauthor Index
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