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2020 – today
- 2024
- [j42]Qing Cui, Zhenmeng Han:
Injective edge-coloring of claw-free subcubic graphs. J. Comb. Optim. 47(5): 87 (2024) - [c33]Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li:
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. AAAI 2024: 11642-11650 - [c32]Junpeng Fang, Gongduo Zhang, Qing Cui, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou:
Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations. AAAI 2024: 11944-11952 - [c31]Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li:
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. AAAI 2024: 19189-19196 - [c30]Dong Yao, Caizhi Tang, Qing Cui, Longfei Li:
Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects. CIKM 2024: 2961-2970 - [c29]Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou:
Enhancing Event Sequence Modeling with Contrastive Relational Inference. ICASSP 2024: 6145-6149 - [c28]Ya-Lin Zhang, Caizhi Tang, Lu Yu, Jun Zhou, Longfei Li, Qing Cui, Fangfang Fan, Linbo Jiang, Xiaosong Zhao:
Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding. WSDM 2024: 1102-1105 - [c27]Junpeng Fang, Gongduo Zhang, Qing Cui, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou:
Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge. WWW (Companion Volume) 2024: 93-102 - [c26]Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang:
Invariant Graph Learning for Causal Effect Estimation. WWW 2024: 2552-2562 - [i10]Zhixuan Chu, Yan Wang, Qing Cui, Longfei Li, Wenqing Chen, Sheng Li, Zhan Qin, Kui Ren:
LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation. CoRR abs/2401.08217 (2024) - 2023
- [j41]Caizhi Tang, Qing Cui, Longfei Li, Jun Zhou:
GINT: A Generative Interpretability method via perturbation in the latent space. Expert Syst. Appl. 232: 120570 (2023) - [j40]Qing Cui, Jingshu Zhang:
A Sharp Upper Bound on the Cycle Isolation Number of Graphs. Graphs Comb. 39(6): 117 (2023) - [j39]Zhenmeng Han, Qing Cui:
A note on strong edge-coloring of claw-free cubic graphs. J. Appl. Math. Comput. 69(3): 2503-2508 (2023) - [j38]Xian Jiang, Qing Cui, Chongguo Wang, Fan Wang, Yingxiang Zhao, Yongjie Hou, Rujun Zhuang, Yunfei Mei, Gang Shi:
A Model for Infrastructure Detection along Highways Based on Remote Sensing Images from UAVs. Sensors 23(8): 3847 (2023) - [j37]Kai Zhang, Qi Liu, Hao Qian, Biao Xiang, Qing Cui, Jun Zhou, Enhong Chen:
EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 35(1): 377-389 (2023) - [c25]Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou:
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference. ICDM (Workshops) 2023: 588-592 - [c24]Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Longfei Li, Jun Zhou:
Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding. ICML 2023: 33792-33803 - [c23]Jia Gu, Caizhi Tang, Han Yan, Qing Cui, Longfei Li, Jun Zhou:
FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation. NeurIPS 2023 - [c22]Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He:
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift. NeurIPS 2023 - [c21]Han Zhao, Qing Cui, Xinyu Li, Rongzhou Bao, Longfei Li, Jun Zhou, Zhehao Liu, Jinghua Feng:
MDI: A Debiasing Method Combining Unbiased and Biased Data. SIGIR 2023: 3280-3284 - [c20]Junpeng Fang, Qing Cui, Gongduo Zhang, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou, Fei Wu:
Alleviating Matching Bias in Marketing Recommendations. SIGIR 2023: 3359-3363 - [c19]Yi Ding, Jun Zhou, Qing Cui, Lin Wang, Mengqi Zhang, Yang Dong:
DistriBayes: A Distributed Platform for Learning, Inference and Attribution on Large Scale Bayesian Network. WSDM 2023: 1184-1187 - [c18]Jun Zhou, Caizhi Tang, Qing Cui, Yi Ding, Longfei Li, Fei Wu:
DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay. WWW (Companion Volume) 2023: 447-451 - [i9]Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Y. Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li:
Enhancing Recommender Systems with Large Language Model Reasoning Graphs. CoRR abs/2308.10835 (2023) - [i8]Zhixuan Chu, Hongyan Hao, Xin Ouyang, Simeng Wang, Yan Wang, Yue Shen, Jinjie Gu, Qing Cui, Longfei Li, Siqiao Xue, James Y. Zhang, Sheng Li:
Leveraging Large Language Models for Pre-trained Recommender Systems. CoRR abs/2308.10837 (2023) - [i7]Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou:
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference. CoRR abs/2309.02868 (2023) - [i6]Zhixuan Chu, Huaiyu Guo, Xinyuan Zhou, Yijia Wang, Fei Yu, Hong Chen, Wanqing Xu, Xin Lu, Qing Cui, Longfei Li, Jun Zhou, Sheng Li:
Data-Centric Financial Large Language Models. CoRR abs/2310.17784 (2023) - [i5]Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li:
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. CoRR abs/2312.16113 (2023) - 2022
- [j36]Qing Cui, Zhenmeng Han:
List star edge-coloring of claw-free subcubic multigraphs. Discret. Appl. Math. 309: 258-264 (2022) - [j35]Wenzhong Liu, Qing Cui, Yunzhuo Wang:
On 4-connected 4-regular graphs without even cycle decompositions. Discret. Math. 345(10): 113012 (2022) - [j34]Jun-Peng Fang, Jun Zhou, Qing Cui, Caizhi Tang, Longfei Li:
Interpreting Model Predictions with Constrained Perturbation and Counterfactual Instances. Int. J. Pattern Recognit. Artif. Intell. 36(1): 2251001:1-2251001:23 (2022) - [j33]Fan Wang, Yingxiang Zhao, Gang Shi, Qing Cui, Tengfei Cao, Xian Jiang, Yongjie Hou, Rujun Zhuang, Yunfei Mei:
CGR-Block: Correlated Feature Extractor and Geometric Feature Fusion for Point Cloud Analysis. Sensors 22(13): 4878 (2022) - [c17]Xinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou:
Robust Direct Learning for Causal Data Fusion. ACML 2022: 611-626 - [c16]Meng Li, Lu Yu, Ya-Lin Zhang, Xiaoguang Huang, Qitao Shi, Qing Cui, Xinxing Yang, Longfei Li, Wei Zhu, Yanming Fang, Jun Zhou:
An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset. CIKM 2022: 3252-3261 - [c15]Jun-Peng Fang, Caizhi Tang, Qing Cui, Feng Zhu, Longfei Li, Jun Zhou, Wei Zhu:
Semi-Supervised Learning with Data Augmentation for Tabular Data. CIKM 2022: 3928-3932 - [c14]Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Ya-Lin Zhang, Feng Zhu, Longfei Li, Jun Zhou, Linbo Jiang:
Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding. NeurIPS 2022 - [i4]Xinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou:
Robust Direct Learning for Causal Data Fusion. CoRR abs/2211.00249 (2022) - 2021
- [j32]Qing Cui, Qinghai Liu, Colton Magnant, Akira Saito:
Implications in rainbow forbidden subgraphs. Discret. Math. 344(4): 112267 (2021) - [j31]Wenzhong Liu, Jiancheng Wang, Qing Cui, Yan Yang:
Strongly even cycle decomposable 4-regular line graphs. Eur. J. Comb. 94: 103315 (2021) - [j30]Guantao Chen, Yuan Chen, Qing Cui, Xing Feng, Qinghai Liu:
The chromatic number of { ISK4ISK4 ISK 4 , diamond, bowtie}-free graphs. J. Graph Theory 96(4): 554-577 (2021) - [j29]Yujin Zhang, Tingting Liu, Carlo Cattani, Qing Cui, Shuxian Liu:
Diffusion-based image inpainting forensics via weighted least squares filtering enhancement. Multim. Tools Appl. 80(20): 30725-30739 (2021) - [j28]Qing Cui, On-Hei Solomon Lo:
Tight Gaps in the Cycle Spectrum of 3-Connected Planar Graphs. SIAM J. Discret. Math. 35(3): 2039-2048 (2021) - [c13]Meng Li, Ya-Lin Zhang, Qitao Shi, Xinxing Yang, Qing Cui, Longfei Li, Jun Zhou:
Constraint-Adaptive Rule Mining in Large Databases. DASFAA (3) 2021: 579-591 - [c12]Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen:
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. WSDM 2021: 984-992 - 2020
- [j27]Qing Cui, Wenzhong Liu:
A note on 3-bisections in subcubic graphs. Discret. Appl. Math. 285: 147-152 (2020) - [j26]Wenzhong Liu, Huazheng You, Qing Cui:
On even cycle decompositions of line graphs of cubic graphs. Discret. Math. 343(7): 111904 (2020) - [j25]Guantao Chen, Yuan Chen, Qing Cui, Xing Feng, Qinghai Liu:
The Chromatic Number of Graphs with No Induced Subdivision of K4. Graphs Comb. 36(3): 719-728 (2020) - [j24]Qing Cui:
Partitioning Claw-Free Subcubic Graphs into Two Dominating Sets. Graphs Comb. 36(6): 1723-1740 (2020) - [j23]Qinghai Liu, Qing Cui, Xing Feng, Fuliang Lu:
A characterization of nonfeasible sets in matching covered graphs. J. Graph Theory 95(4): 509-526 (2020) - [c11]Qing Cui, Qitao Shi, Hao Qian, Caizhi Tang, Xixi Li, Yiming Zhao, Tao Jiang, Longfei Li, Jun Zhou:
AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models. ECML/PKDD (5) 2020: 541-545 - [i3]Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen:
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. CoRR abs/2012.06968 (2020)
2010 – 2019
- 2019
- [j22]Qing Cui, Qinghai Liu:
2-bisections in claw-free cubic multigraphs. Discret. Appl. Math. 257: 325-330 (2019) - [j21]Xiaoqiang Li, Yin Zhang, Qing Cui, Xiaoming Yi, Yi Zhang:
Tooth-Marked Tongue Recognition Using Multiple Instance Learning and CNN Features. IEEE Trans. Cybern. 49(2): 380-387 (2019) - [c10]Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang:
Value-aware Recommendation based on Reinforcement Profit Maximization. WWW 2019: 3123-3129 - [i2]Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang:
Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems. CoRR abs/1902.00851 (2019) - 2018
- [c9]Yanqiong Liu, Gang Shi, Qing Cui, Yuhong Sheng, Guoqun Liu:
A Method of Personnel Location Based on Monocular Camera in Complex Terrain. CCBR 2018: 175-185 - [c8]Yushan Xue, Xiaoqiang Li, Qing Cui, Lu Wang, Pin Wu:
Cracked Tongue Recognition Based on Deep Features and Multiple-Instance SVM. PCM (2) 2018: 642-652 - 2017
- [j20]Qing Cui, Lingping Zhong:
The general Randić index of trees with given number of pendent vertices. Appl. Math. Comput. 302: 111-121 (2017) - [j19]Qing Cui, Qiuping Qian, Lingping Zhong:
The maximum atom-bond connectivity index for graphs with edge-connectivity one. Discret. Appl. Math. 220: 170-173 (2017) - [j18]Qing Cui, Lingping Zhong:
On the general sum-connectivity index of trees with given number of pendent vertices. Discret. Appl. Math. 222: 213-221 (2017) - [j17]Lei Wang, Fujiang Lin, Qing Cui:
Dual 3-phase buck converter for multi-core CPUs power supply in mobile devices. IEICE Electron. Express 14(7): 20170045 (2017) - [j16]Yuhong Sheng, Gang Shi, Qing Cui:
Almost sure stability for multifactor uncertain differential equation. J. Intell. Fuzzy Syst. 32(3): 2187-2194 (2017) - [c7]Jun Zhou, Xiaolong Li, Peilin Zhao, Chaochao Chen, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan (Alan) Qi:
KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. KDD 2017: 1693-1702 - [c6]Jun Zhou, Qing Cui, Xiaolong Li, Peilin Zhao, Shenquan Qu, Jun Huang:
PSMART: Parameter Server based Multiple Additive Regression Trees System. WWW (Companion Volume) 2017: 879-880 - 2016
- [j15]Qing Cui, Fujiang Lin:
A tri-mode high light-load efficiency BUCK converter for mobile phone application. IEICE Electron. Express 13(10): 20160360 (2016) - [j14]Hongmei Chen, Maochen Jian, Yong-Sheng Yin, Fujiang Lin, Qing Cui:
An efficient digital calibration technique for timing mismatch in time-interleaved ADCs. IEICE Electron. Express 13(13): 20160524 (2016) - [j13]Qing Cui, Dongmei Xie, Fangcui Jiang:
Group consensus tracking control of second-order multi-agent systems with directed fixed topology. Neurocomputing 218: 286-295 (2016) - [c5]Xiaoqiang Li, Qing Cui:
Parallel Accelerated Matting Method Based on Local Learning. ACCV (1) 2016: 152-162 - [c4]Qing Cui, Xiaoqiang Li, Jide Li, Yin Zhang:
Geometric and Tongue-Mouth Relation Features for Morphology Analysis of Tongue Body. PCM (2) 2016: 490-497 - 2015
- [j12]Lingping Zhong, Qing Cui:
On a relation between the atom-bond connectivity and the first geometric-arithmetic indices. Discret. Appl. Math. 185: 249-253 (2015) - [j11]Qing Cui, Feng-Shan Bai, Bin Gao, Tie-Yan Liu:
Global Optimization for Advertisement Selection in Sponsored Search. J. Comput. Sci. Technol. 30(2): 295-310 (2015) - [j10]Qing Cui, Bin Gao, Jiang Bian, Siyu Qiu, Hanjun Dai, Tie-Yan Liu:
KNET: A General Framework for Learning Word Embedding Using Morphological Knowledge. ACM Trans. Inf. Syst. 34(1): 4:1-4:25 (2015) - 2014
- [j9]Rui Li, Qing Cui:
Spanning trees in subcubic graphs. Ars Comb. 117: 411-415 (2014) - [c3]Fei Tian, Bin Gao, Qing Cui, Enhong Chen, Tie-Yan Liu:
Learning Deep Representations for Graph Clustering. AAAI 2014: 1293-1299 - [c2]Siyu Qiu, Qing Cui, Jiang Bian, Bin Gao, Tie-Yan Liu:
Co-learning of Word Representations and Morpheme Representations. COLING 2014: 141-150 - [i1]Qing Cui, Bin Gao, Jiang Bian, Siyu Qiu, Tie-Yan Liu:
Learning Effective Word Embedding using Morphological Word Similarity. CoRR abs/1407.1687 (2014) - 2013
- [j8]Qing Cui, Lingping Zhong:
A note on circumferences in k-connected graphs with given independence number. Ars Comb. 111: 315-322 (2013) - 2012
- [j7]Yuru Wang, Xianglong Tang, Qing Cui:
Dynamic appearance model for particle filter based visual tracking. Pattern Recognit. 45(12): 4510-4523 (2012) - 2010
- [j6]Qing Cui:
A Note on Circuit Graphs. Electron. J. Comb. 17(1) (2010)
2000 – 2009
- 2009
- [j5]Qing Cui, Yumei Hu, Jian Wang:
Long cycles in 4-connected planar graphs. Discret. Math. 309(5): 1051-1059 (2009) - [j4]Qing Cui, Jian Wang:
Maximum bipartite subgraphs of cubic triangle-free planar graphs. Discret. Math. 309(5): 1091-1111 (2009) - [j3]Qing Cui, Penny Haxell, Will Ma:
Packing and Covering Triangles in Planar Graphs. Graphs Comb. 25(6): 817-824 (2009) - [j2]Qing Cui, Jian Wang, Xingxing Yu:
Hamilton circles in infinite planar graphs. J. Comb. Theory B 99(1): 110-138 (2009) - 2005
- [c1]Qing Cui, Alex Dekhtyar:
On improving local website search using web server traffic logs: a preliminary report. WIDM 2005: 59-66
1990 – 1999
- 1991
- [j1]Walter Welkowitz, Qing Cui, Yun Qi, John B. Kostis:
Noninvasive estimation of cardiac output. IEEE Trans. Biomed. Eng. 38(11): 1100-1105 (1991)
Coauthor Index
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last updated on 2024-11-15 19:30 CET by the dblp team
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