Noninvasive estimation of cardiac output. - Walter Welkowitz; Qing Cui; Yun Qi; John B. Kostis (IEEE Trans. Biomed. Eng., 1991)

On improving local website search using web server traffic logs: a preliminary report. - Qing Cui; Alex Dekhtyar (WIDM, 2005)

Long cycles in 4-connected planar graphs. - Qing Cui; Yumei Hu; Jian Wang (Discret. Math., 2009)

Maximum bipartite subgraphs of cubic triangle-free planar graphs. - Qing Cui; Jian Wang (Discret. Math., 2009)

Packing and Covering Triangles in Planar Graphs. - Qing Cui; Penny Haxell; Will Ma (Graphs Comb., 2009)

Hamilton circles in infinite planar graphs. - Qing Cui; Jian Wang 092; Xingxing Yu (J. Comb. Theory B, 2009)

A Note on Circuit Graphs. - Qing Cui (Electron. J. Comb., 2010)

Dynamic appearance model for particle filter based visual tracking. - Yuru Wang; Xianglong Tang; Qing Cui (Pattern Recognit., 2012)

A note on circumferences in k-connected graphs with given independence number. - Qing Cui; Lingping Zhong (Ars Comb., 2013)

Learning Deep Representations for Graph Clustering. - Fei Tian; Bin Gao 001; Qing Cui; Enhong Chen; Tie-Yan Liu (AAAI, 2014)

Co-learning of Word Representations and Morpheme Representations. - Siyu Qiu; Qing Cui; Jiang Bian 002; Bin Gao 001; Tie-Yan Liu (COLING, 2014)

Spanning trees in subcubic graphs. - Rui Li; Qing Cui (Ars Comb., 2014)

Learning Effective Word Embedding using Morphological Word Similarity. - Qing Cui; Bin Gao 001; Jiang Bian 002; Siyu Qiu; Tie-Yan Liu (CoRR, 2014)

On a relation between the atom-bond connectivity and the first geometric-arithmetic indices. - Lingping Zhong; Qing Cui (Discret. Appl. Math., 2015)

Global Optimization for Advertisement Selection in Sponsored Search. - Qing Cui; Feng-Shan Bai; Bin Gao 001; Tie-Yan Liu (J. Comput. Sci. Technol., 2015)

KNET: A General Framework for Learning Word Embedding Using Morphological Knowledge. - Qing Cui; Bin Gao 001; Jiang Bian 002; Siyu Qiu; Hanjun Dai; Tie-Yan Liu (ACM Trans. Inf. Syst., 2015)

Parallel Accelerated Matting Method Based on Local Learning. - Xiaoqiang Li; Qing Cui (ACCV (1), 2016)

Geometric and Tongue-Mouth Relation Features for Morphology Analysis of Tongue Body. - Qing Cui; Xiaoqiang Li; Jide Li; Yin Zhang (PCM (2), 2016)

An efficient digital calibration technique for timing mismatch in time-interleaved ADCs. - Hongmei Chen 005; Maochen Jian; Yong-Sheng Yin; Fujiang Lin; Qing Cui (IEICE Electron. Express, 2016)

A tri-mode high light-load efficiency BUCK converter for mobile phone application. - Qing Cui; Fujiang Lin (IEICE Electron. Express, 2016)

Group consensus tracking control of second-order multi-agent systems with directed fixed topology. - Qing Cui; Dongmei Xie; Fangcui Jiang (Neurocomputing, 2016)

KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. - Jun Zhou 011; Xiaolong Li 005; Peilin Zhao; Chaochao Chen 001; Longfei Li; Xinxing Yang; Qing Cui; Jin Yu; Xu Chen 017; Yi Ding 006; Yuan (Alan) Qi (KDD, 2017)

PSMART: Parameter Server based Multiple Additive Regression Trees System. - Jun Zhou 011; Qing Cui; Xiaolong Li 005; Peilin Zhao; Shenquan Qu; Jun Huang 007 (WWW (Companion Volume), 2017)

The general Randić index of trees with given number of pendent vertices. - Qing Cui; Lingping Zhong (Appl. Math. Comput., 2017)

The maximum atom-bond connectivity index for graphs with edge-connectivity one. - Qing Cui; Qiuping Qian; Lingping Zhong (Discret. Appl. Math., 2017)

On the general sum-connectivity index of trees with given number of pendent vertices. - Qing Cui; Lingping Zhong (Discret. Appl. Math., 2017)

Dual 3-phase buck converter for multi-core CPUs power supply in mobile devices. - Lei Wang; Fujiang Lin; Qing Cui (IEICE Electron. Express, 2017)

Almost sure stability for multifactor uncertain differential equation. - Yuhong Sheng; Gang Shi; Qing Cui (J. Intell. Fuzzy Syst., 2017)

A Method of Personnel Location Based on Monocular Camera in Complex Terrain. - Yanqiong Liu; Gang Shi; Qing Cui; Yuhong Sheng; Guoqun Liu (CCBR, 2018)

Cracked Tongue Recognition Based on Deep Features and Multiple-Instance SVM. - Yushan Xue; Xiaoqiang Li; Qing Cui; Lu Wang; Pin Wu (PCM (2), 2018)

Value-aware Recommendation based on Reinforcement Profit Maximization. - Changhua Pei; Xinru Yang; Qing Cui; Xiao Lin 002; Fei Sun 001; Peng Jiang 002; Wenwu Ou; Yongfeng Zhang (WWW, 2019)

Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems. - Changhua Pei; Xinru Yang; Qing Cui; Xiao Lin 002; Fei Sun 001; Peng Jiang 002; Wenwu Ou; Yongfeng Zhang (CoRR, 2019)

2-bisections in claw-free cubic multigraphs. - Qing Cui; Qinghai Liu (Discret. Appl. Math., 2019)

Tooth-Marked Tongue Recognition Using Multiple Instance Learning and CNN Features. - Xiaoqiang Li; Yin Zhang; Qing Cui; Xiaoming Yi; Yi Zhang (IEEE Trans. Cybern., 2019)

AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models. - Qing Cui; Qitao Shi; Hao Qian 003; Caizhi Tang; Xixi Li; Yiming Zhao; Tao Jiang; Longfei Li; Jun Zhou 011 (ECML/PKDD (5), 2020)

A note on 3-bisections in subcubic graphs. - Qing Cui; Wenzhong Liu (Discret. Appl. Math., 2020)

On even cycle decompositions of line graphs of cubic graphs. - Wenzhong Liu; Huazheng You; Qing Cui (Discret. Math., 2020)

The Chromatic Number of Graphs with No Induced Subdivision of K4. - Guantao Chen; Yuan Chen; Qing Cui; Xing Feng; Qinghai Liu (Graphs Comb., 2020)

Partitioning Claw-Free Subcubic Graphs into Two Dominating Sets. - Qing Cui (Graphs Comb., 2020)

A characterization of nonfeasible sets in matching covered graphs. - Qinghai Liu; Qing Cui; Xing Feng; Fuliang Lu (J. Graph Theory, 2020)

Constraint-Adaptive Rule Mining in Large Databases. - Meng Li; Ya-Lin Zhang 001; Qitao Shi; Xinxing Yang; Qing Cui; Longfei Li; Jun Zhou 011 (DASFAA (3), 2021)

Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. - Kai Zhang 038; Hao Qian 003; Qing Cui; Qi Liu 003; Longfei Li; Jun Zhou 011; Jianhui Ma; Enhong Chen (WSDM, 2021)

Implications in rainbow forbidden subgraphs. - Qing Cui; Qinghai Liu; Colton Magnant; Akira Saito (Discret. Math., 2021)

Strongly even cycle decomposable 4-regular line graphs. - Wenzhong Liu; Jiancheng Wang; Qing Cui; Yan Yang (Eur. J. Comb., 2021)

The chromatic number of { ISK4ISK4 ISK 4 , diamond, bowtie}-free graphs. - Guantao Chen; Yuan Chen; Qing Cui; Xing Feng; Qinghai Liu (J. Graph Theory, 2021)

Diffusion-based image inpainting forensics via weighted least squares filtering enhancement. - Yujin Zhang; Tingting Liu; Carlo Cattani; Qing Cui; Shuxian Liu (Multim. Tools Appl., 2021)

Tight Gaps in the Cycle Spectrum of 3-Connected Planar Graphs. - Qing Cui; On-Hei Solomon Lo (SIAM J. Discret. Math., 2021)

Robust Direct Learning for Causal Data Fusion. - Xinyu Li; Yilin Li; Qing Cui; Longfei Li; Jun Zhou 011 (ACML, 2022)

Semi-Supervised Learning with Data Augmentation for Tabular Data. - Jun-Peng Fang; Caizhi Tang; Qing Cui; Feng Zhu 011; Longfei Li; Jun Zhou 011; Wei Zhu (CIKM, 2022)

An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset. - Meng Li; Lu Yu 006; Ya-Lin Zhang 001; Xiaoguang Huang; Qitao Shi; Qing Cui; Xinxing Yang; Longfei Li; Wei Zhu; Yanming Fang; Jun Zhou 011 (CIKM, 2022)

Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding. - Caizhi Tang; Huiyuan Wang; Xinyu Li; Qing Cui; Ya-Lin Zhang 001; Feng Zhu 011; Longfei Li; Jun Zhou 011; Linbo Jiang (NeurIPS, 2022)

List star edge-coloring of claw-free subcubic multigraphs. - Qing Cui; Zhenmeng Han (Discret. Appl. Math., 2022)

On 4-connected 4-regular graphs without even cycle decompositions. - Wenzhong Liu; Qing Cui; Yunzhuo Wang (Discret. Math., 2022)

Interpreting Model Predictions with Constrained Perturbation and Counterfactual Instances. - Jun-Peng Fang; Jun Zhou 011; Qing Cui; Caizhi Tang; Longfei Li (Int. J. Pattern Recognit. Artif. Intell., 2022)

CGR-Block: Correlated Feature Extractor and Geometric Feature Fusion for Point Cloud Analysis. - Fan Wang 025; Yingxiang Zhao; Gang Shi; Qing Cui; Tengfei Cao; Xian Jiang; Yongjie Hou; Rujun Zhuang; Yunfei Mei (Sensors, 2022)

Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference. - Yan Wang 002; Zhixuan Chu; Tao Zhou; Caigao Jiang; Hongyan Hao; Minjie Zhu; Xindong Cai; Qing Cui; Longfei Li; James Y. Zhang; Siqiao Xue; Jun Zhou 011 (ICDM (Workshops), 2023)

Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding. - Caizhi Tang; Huiyuan Wang; Xinyu Li; Qing Cui; Longfei Li; Jun Zhou 011 (ICML, 2023)

FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation. - Jia Gu; Caizhi Tang; Han Yan; Qing Cui; Longfei Li; Jun Zhou 011 (NeurIPS, 2023)

Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift. - Yongduo Sui; Qitian Wu; Jiancan Wu; Qing Cui; Longfei Li; Jun Zhou 011; Xiang Wang 010; Xiangnan He 001 (NeurIPS, 2023)

Alleviating Matching Bias in Marketing Recommendations. - Junpeng Fang; Qing Cui; Gongduo Zhang; Caizhi Tang; Lihong Gu; Longfei Li; Jinjie Gu; Jun Zhou 011; Fei Wu 001 (SIGIR, 2023)

MDI: A Debiasing Method Combining Unbiased and Biased Data. - Han Zhao; Qing Cui; Xinyu Li; Rongzhou Bao; Longfei Li; Jun Zhou 011; Zhehao Liu; Jinghua Feng (SIGIR, 2023)

DistriBayes: A Distributed Platform for Learning, Inference and Attribution on Large Scale Bayesian Network. - Yi Ding 006; Jun Zhou 011; Qing Cui; Lin Wang 098; Mengqi Zhang; Yang Dong (WSDM, 2023)

DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay. - Jun Zhou 011; Caizhi Tang; Qing Cui; Yi Ding 006; Longfei Li; Fei Wu 001 (WWW (Companion Volume), 2023)

Enhancing Recommender Systems with Large Language Model Reasoning Graphs. - Yan Wang 002; Zhixuan Chu; Xin Ouyang; Simeng Wang; Hongyan Hao; Yue Shen; Jinjie Gu; Siqiao Xue; James Y. Zhang; Qing Cui; Longfei Li; Jun Zhou 011; et al. (CoRR, 2023)

Leveraging Large Language Models for Pre-trained Recommender Systems. - Zhixuan Chu; Hongyan Hao; Xin Ouyang; Simeng Wang; Yan Wang 002; Yue Shen; Jinjie Gu; Qing Cui; Longfei Li; Siqiao Xue; James Y. Zhang; Sheng Li 001 (CoRR, 2023)

Data-Centric Financial Large Language Models. - Zhixuan Chu; Huaiyu Guo; Xinyuan Zhou; Yijia Wang; Fei Yu; Hong Chen; Wanqing Xu; Xin Lu; Qing Cui; Longfei Li; Jun Zhou 011; Sheng Li 001 (CoRR, 2023)

A Model for Infrastructure Detection along Highways Based on Remote Sensing Images from UAVs. - Xian Jiang; Qing Cui; Chongguo Wang; Fan Wang 025; Yingxiang Zhao; Yongjie Hou; Rujun Zhuang; Yunfei Mei; Gang Shi (Sensors, 2023)

EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis. - Kai Zhang 038; Qi Liu 003; Hao Qian 003; Biao Xiang; Qing Cui; Jun Zhou 011; Enhong Chen (IEEE Trans. Knowl. Data Eng., 2023)

A note on strong edge-coloring of claw-free cubic graphs. - Zhenmeng Han; Qing Cui (J. Appl. Math. Comput., 2023)

GINT: A Generative Interpretability method via perturbation in the latent space. - Caizhi Tang; Qing Cui; Longfei Li; Jun Zhou 011 (Expert Syst. Appl., 2023)

A Sharp Upper Bound on the Cycle Isolation Number of Graphs. - Qing Cui; Jingshu Zhang (Graphs Comb., 2023)

Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. - Zhixuan Chu; Mengxuan Hu; Qing Cui; Longfei Li; Sheng Li 001 (AAAI, 2024)

Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations. - Junpeng Fang; Gongduo Zhang; Qing Cui; Caizhi Tang; Lihong Gu; Longfei Li; Jinjie Gu; Jun Zhou 011 (AAAI, 2024)

LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. - Yan Wang 002; Zhixuan Chu; Xin Ouyang; Simeng Wang; Hongyan Hao; Yue Shen; Jinjie Gu; Siqiao Xue; James Zhang; Qing Cui; Longfei Li; Jun Zhou 011; et al. (AAAI, 2024)

Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects. - Dong Yao; Caizhi Tang; Qing Cui; Longfei Li (CIKM, 2024)

Enhancing Event Sequence Modeling with Contrastive Relational Inference. - Yan Wang 002; Zhixuan Chu; Tao Zhou; Caigao Jiang; Hongyan Hao; Minjie Zhu; Xindong Cai; Qing Cui; Longfei Li; James Y. Zhang; Siqiao Xue; Jun Zhou 011 (ICASSP, 2024)

Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding. - Ya-Lin Zhang 001; Caizhi Tang; Lu Yu 006; Jun Zhou 011; Longfei Li; Qing Cui; Fangfang Fan; Linbo Jiang; Xiaosong Zhao (WSDM, 2024)

Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge. - Junpeng Fang; Gongduo Zhang; Qing Cui; Lihong Gu; Longfei Li; Jinjie Gu; Jun Zhou 011 (WWW (Companion Volume), 2024)

Invariant Graph Learning for Causal Effect Estimation. - Yongduo Sui; Caizhi Tang; Zhixuan Chu; Junfeng Fang; Yuan Gao 020; Qing Cui; Longfei Li; Jun Zhou 011; Xiang Wang 010 (WWW, 2024)

LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation. - Zhixuan Chu; Yan Wang 002; Qing Cui; Longfei Li; Wenqing Chen; Sheng Li 001; Zhan Qin; Kui Ren 001 (CoRR, 2024)

Injective edge-coloring of claw-free subcubic graphs. - Qing Cui; Zhenmeng Han (J. Comb. Optim., 2024)

A Unified Invariant Learning Framework for Graph Classification. - Yongduo Sui; Jie Sun 030; Shuyao Wang; Zemin Liu; Qing Cui; Longfei Li; Xiang Wang 010 (KDD (1), 2025)

A characterization of graphs with maximum cycle isolation number. - Siyue Chen; Qing Cui; Jingshu Zhang (Discret. Appl. Math., 2025)

Domination number, independent domination number and k-independence number in trees. - Qing Cui; Xu Zou (Discret. Appl. Math., 2025)

A characterization of graphs with maximum k-clique isolation number. - Siyue Chen; Qing Cui; Lingping Zhong (Discret. Math., 2025)

Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging. - Jinluan Yang; Dingnan Jin; Anke Tang; Li Shen 008; Didi Zhu; Zhengyu Chen 001; Daixin Wang; Qing Cui; Zhiqiang Zhang 012; Jun Zhou 011; Fei Wu 001; Kun Kuang (CoRR, 2025)

A Simple Data Augmentation for Graph Classification: A Perspective of Equivariance and Invariance. - Yongduo Sui; Shuyao Wang; Jie Sun 030; Zhiyuan Liu 010; Qing Cui; Longfei Li; Jun Zhou 011; Xiang Wang 010; Xiangnan He 001 (ACM Trans. Knowl. Discov. Data, 2025)

Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs. - Ling Team; Binwei Zeng; Chao Huang; Chao Zhang; Changxin Tian; Cong Chen; Dingnan Jin; Feng Yu; Feng Zhu; Feng Yuan; Fakang Wang; Gangshan Wang; et al. (CoRR, 2025)

MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models. - Jiazheng Li 012; Lu Yu 006; Qing Cui; Zhiqiang Zhang 012; Jun Zhou 011; Yanfang Ye 001; Chuxu Zhang (CoRR, 2025)

Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM. - Codefuse; Wenting Cai; Yuchen Cao; Chaoyu Chen; Chen Chen; Siba Chen; Qing Cui; Peng Di; Junpeng Fang; Zi Gong; Ting Guo; Zhengyu He; et al. (CoRR, 2025)

$(K_{1} vee {P_{t})}$-saturated graphs with minimum number of edges. - Jinze Hu; Shengjin Ji; Qing Cui (J. Comb. Optim., 2025)

SHARP: Synthesizing High-quality Aligned Reasoning Problems for Large Reasoning Models Reinforcement Learning. - Xiong Jun Wu; Zhenduo Zhang; Zujie Wen; Zhiqiang Zhang 012; Wang Ren; Lei Shi; Cai Chen; Deng Zhao; Qing Wang; Xudong Han; Chengfu Tang; Dingnan Jin; et al. (CoRR, 2025)

Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs. - Ling Team; Bin Hu; Cai Chen; Deng Zhao; Ding Liu; Dingnan Jin; Feng Zhu; Hao Dai; Hongzhi Luan; Jia Guo; Jiaming Liu; Jiewei Wu; et al. (CoRR, 2025)