| 2026 | AAAI | Towards Nonlinear Sparse AUC Maximization via Compositional Stochastic Hard Thresholding. | Wenkang Wang, Dongxu Liu, Bin Gu |
| 2026 | ACL | EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning for LLMs. | Huanyu Liu, Jia Li, Yihong Dong, Chang Yu, Taozhi Chen, Lecheng Wang, Yongding Tao, Bin Gu, Ge Li |
| 2026 | FM | Automated LTL Specification Generation from Industrial Aerospace Requirements. | Zhi Ma, Xiao Liang, Cheng Wen, Rui Chen, Bin Gu, Shengchao Qin, Cong Tian, Mengfei Yang |
| 2025 | AAAI | Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent. | Jun Chen, Hong Chen, Bin Gu, Guodong Liu, Yingjie Wang, Weifu Li |
| 2025 | AAAI | Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization. | Haozhen Zhang, Zhaogeng Liu, Bin Gu, Yi Chang |
| 2025 | ACL | Rethinking Repetition Problems of LLMs in Code Generation. | Yihong Dong, Yuchen Liu, Xue Jiang, Bin Gu, Zhi Jin, Ge Li |
| 2025 | CVPR | Query Efficient Black-Box Visual Prompting with Subspace Learning. | Zhaogeng Liu, Haozhen Zhang, Hualin Zhang, Xingchen Li, Wanli Shi, Bin Gu, Yi Chang |
| 2025 | ICASSP | Aligning Noisy-Clean Speech Pairs at Feature and Embedding Levels for Learning Noise-Invariant Speaker Representations. | Zuoliang Li, Yang Ai, Jie Zhang, Shengyu Peng, Yu Guan, Bin Gu, Wu Guo |
| 2025 | ICASSP | A Study of Multi-Scale Feature Learning From Pre-Trained Models on Speaker Verification. | Shengyu Peng, Wu Guo, Jie Zhang, Zuoliang Li, Yu Guan, Bin Gu, Yang Ai |
| 2025 | ICLR | Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks. | Bhaskar Mukhoty, Hilal AlQuabeh, Bin Gu |
| 2025 | ICLR | Event-Driven Online Vertical Federated Learning. | Ganyu Wang, Boyu Wang, Bin Gu, Charles Ling |
| 2025 | ICLR | Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models. | Hualin Zhang, Haozhen Zhang, Zhekai Liu, Bin Gu, Yi Chang |
| 2025 | ICML | Temporal Misalignment in ANN-SNN Conversion and its Mitigation via Probabilistic Spiking Neurons. | Velibor Bojkovic, Xiaofeng Wu, Bin Gu |
| 2025 | ICML | Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees. | William de Vazelhes, Xiaotong Yuan, Bin Gu |
| 2025 | ICML | FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning. | Ganyu Wang, Jinjie Fang, Maxwell J. Yin, Bin Gu, Xi Chen, Boyu Wang, Yi Chang, Charles Ling |
| 2025 | KDD | Enhancing Black-Box Adversarial Attacks on Discrete Sequential Data via Bilevel Bayesian Optimization in Hybrid Spaces. | Tianxing Man, Xingchen Li, Zhaogeng Liu, Haozhen Zhang, Bin Gu, Yi Chang |
| 2025 | NAACL | Arabic Dataset for LLM Safeguard Evaluation. | Yasser Ashraf, Yuxia Wang, Bin Gu, Preslav Nakov, Timothy Baldwin |
| 2025 | RE | Automatic Generation of Structured Requirements for Aerospace Embedded Systems Using LLMs. | Jingkai Lin, Yixing Luo, Xiao-hong Chen, Bin Gu, Zhi Jin |
| 2025 | RE | Taxonomy-Guided Reasoning for Requirements Classification: A Study in Aerospace Industry. | Yixing Luo, Yang Liu, Xiaofeng Li, Xiaogang Dong, Bin Gu, Zhi Jin, Mengfei Yang |
| 2025 | RE | Leveraging Large Language Models for Reusable Requirements Management in Aerospace Software. | Yixing Luo, Yiping Wang, Xiaofeng Li, Bin Gu, Zhi Jin |
| 2024 | AAAI | Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging. | Hilal AlQuabeh, William de Vazelhes, Bin Gu |
| 2024 | AAAI | Enhancing Training of Spiking Neural Network with Stochastic Latency. | Srinivas Anumasa, Bhaskar Mukhoty, Velibor Bojkovic, Giulia De Masi, Huan Xiong, Bin Gu |
| 2024 | AAAI | Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery. | William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan, Bin Gu |
| 2024 | AAAI | Dynamic Spiking Graph Neural Networks. | Nan Yin, Mengzhu Wang, Zhenghan Chen, Giulia De Masi, Huan Xiong, Bin Gu |
| 2024 | ACL | Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models. | Yihong Dong, Xue Jiang, Huanyu Liu, Zhi Jin, Bin Gu, Mengfei Yang, Ge Li |
| 2024 | ACL | DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. | Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yuqi Zhu, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li, Bin Gu, Mengfei Yang |
| 2024 | AISTATS | Data Driven Threshold and Potential Initialization for Spiking Neural Networks. | Velibor Bojkovic, Srinivas Anumasa, Giulia De Masi, Bin Gu, Huan Xiong |
| 2024 | AISTATS | Fast and Adversarial Robust Kernelized SDU Learning. | Yajing Fan, Wanli Shi, Yi Chang, Bin Gu |
| 2024 | AISTATS | Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization. | Zhou Zhai, Wanli Shi, Heng Huang, Yi Chang, Bin Gu |
| 2024 | ECCV | FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion. | Xiaofeng Wu, Velibor Bojkovic, Bin Gu, Kun Suo, Kai Zou |
| 2024 | ECCV | Exploring Vulnerabilities in Spiking Neural Networks: Direct Adversarial Attacks on Raw Event Data. | Yanmeng Yao, Xiaohan Zhao, Bin Gu |
| 2024 | ICASSP | Robust Spoof Speech Detection Based on Multi-Scale Feature Aggregation and Dynamic Convolution. | Haochen Wu, Jie Zhang, Zhentao Zhang, Wenting Zhao, Bin Gu, Wu Guo |
| 2024 | ICLR | TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks. | Haiyan Jiang, Vincent Zoonekynd, Giulia De Masi, Bin Gu, Huan Xiong |
| 2024 | ICLR | Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s). | Diyang Li, Charles Ling, Zhiqiang Xu, Huan Xiong, Bin Gu |
| 2024 | ICLR | Federated Causal Discovery from Heterogeneous Data. | Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang |
| 2024 | ICLR | General Stability Analysis for Zeroth-Order Optimization Algorithms. | Xinyue Liu, Hualin Zhang, Bin Gu, Hong Chen |
| 2024 | ICLR | Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks. | Bhaskar Mukhoty, Hilal AlQuabeh, Giulia De Masi, Huan Xiong, Bin Gu |
| 2024 | ICLR | DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption. | Nan Yin, Mengzhu Wang, Zhenghan Chen, Li Shen, Huan Xiong, Bin Gu, Xiao Luo |
| 2024 | ICLR | New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions. | Xinzhe Yuan, William de Vazelhes, Bin Gu, Huan Xiong |
| 2024 | ICML | NDOT: Neuronal Dynamics-based Online Training for Spiking Neural Networks. | Haiyan Jiang, Giulia De Masi, Huan Xiong, Bin Gu |
| 2024 | ICML | Double Momentum Method for Lower-Level Constrained Bilevel Optimization. | Wanli Shi, Yi Chang, Bin Gu |
| 2024 | IJCAI | Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning. | Chengqian Gao, William de Vazelhes, Hualin Zhang, Bin Gu, Zhiqiang Xu |
| 2024 | IJCAI | Fine-grained Analysis of Stability and Generalization for Stochastic Bilevel Optimization. | Xuelin Zhang, Hong Chen, Bin Gu, Tieliang Gong, Feng Zheng |
| 2024 | Interspeech | Contrastive Learning and Inter-Speaker Distribution Alignment Based Unsupervised Domain Adaptation for Robust Speaker Verification. | Zuoliang Li, Wu Guo, Bin Gu, Shengyu Peng, Jie Zhang |
| 2024 | KDD | Asynchronous Vertical Federated Learning for Kernelized AUC Maximization. | Ke Zhang, Ganyu Wang, Han Li, Yulong Wang, Hong Chen, Bin Gu |
| 2024 | KDD | Subspace Selection based Prompt Tuning with Nonconvex Nonsmooth Black-Box Optimization. | Haozhen Zhang, Hualin Zhang, Bin Gu, Yi Chang |
| 2024 | SETTA | A Contract-Based Framework for Formal Verification of Embedded Software. | Xu Lu, Cong Tian, Bin Gu, Bin Yu, Chen Chen, Zhenhua Duan |
| 2023 | AAAI | On the Stability and Generalization of Triplet Learning. | Jun Chen, Hong Chen, Xue Jiang, Bin Gu, Weifu Li, Tieliang Gong, Feng Zheng |
| 2023 | AAAI | When Online Learning Meets ODE: Learning without Forgetting on Variable Feature Space. | Diyang Li, Bin Gu |
| 2023 | AAAI | Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning. | Jiahuan Wang, Jun Chen, Hong Chen, Bin Gu, Weifu Li, Xin Tang |
| 2023 | AAAI | Faster Fair Machine via Transferring Fairness Constraints to Virtual Samples. | Zhou Zhai, Lei Luo, Heng Huang, Bin Gu |
| 2023 | AAAI | Denoising Multi-Similarity Formulation: A Self-Paced Curriculum-Driven Approach for Robust Metric Learning. | Chenkang Zhang, Lei Luo, Bin Gu |
| 2023 | ACML | Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory. | Hilal AlQuabeh, Bhaskar Mukhoty, Bin Gu |
| 2023 | AISTATS | On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network. | Hongchang Gao, Bin Gu, My T. Thai |
| 2023 | EMNLP | Program Translation via Code Distillation. | Yufan Huang, Mengnan Qi, Yongqiang Yao, Maoquan Wang, Bin Gu, Colin B. Clement, Neel Sundaresan |
| 2023 | EMNLP | SUT: Active Defects Probing for Transcompiler Models. | Mengnan Qi, Yufan Huang, Maoquan Wang, Yongqiang Yao, Zihan Liu, Bin Gu, Colin B. Clement, Neel Sundaresan |
| 2023 | ICIS | 'I could eat a horse': The Impact of Hyperbole on Product Sales on Short Video Platforms. | Yutong Han, Bowen Yin, Fei Ren, Bin Gu |
| 2023 | ICLR | Faster Gradient-Free Methods for Escaping Saddle Points. | Hualin Zhang, Bin Gu |
| 2023 | ICML | A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates. | Haiyan Jiang, Srinivas Anumasa, Giulia De Masi, Huan Xiong, Bin Gu |
| 2023 | Interspeech | Introducing Self-Supervised Phonetic Information for Text-Independent Speaker Verification. | Ziyang Zhang, Wu Guo, Bin Gu |
| 2023 | ISSTA | An Empirical Study on Concurrency Bugs in Interrupt-Driven Embedded Software. | Chao Li, Rui Chen, Boxiang Wang, Zhixuan Wang, Tingting Yu, Yunsong Jiang, Bin Gu, Mengfei Yang |
| 2023 | KDD | Self-Adaptive Perturbation Radii for Adversarial Training. | Huimin Wu, Wanli Shi, Chenkang Zhang, Bin Gu |
| 2023 | KDD | Doubly Robust AUC Optimization against Noisy and Adversarial Samples. | Chenkang Zhang, Wanli Shi, Lei Luo, Bin Gu |
| 2023 | SEKE | A Detection-based Attention Alignment Method for Document-level Neural Machine Translation. | Kang Zhong, Wu Guo, Bin Gu, Weitai Zhang, Chao Lin |
| 2022 | AAAI | Balanced Self-Paced Learning for AUC Maximization. | Bin Gu, Chenkang Zhang, Huan Xiong, Heng Huang |
| 2022 | AAAI | A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse. | Junyi Li, Bin Gu, Heng Huang |
| 2022 | AAAI | Chunk Dynamic Updating for Group Lasso with ODEs. | Diyang Li, Bin Gu |
| 2022 | CIKM | Towards Fairer Classifier via True Fairness Score Path. | Bin Gu, Zhou Zhai, Xiang Li, Heng Huang |
| 2022 | CIKM | An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. | Runxue Bao, Bin Gu, Heng Huang |
| 2022 | CIKM | Towards Practical Large Scale Non-Linear Semi-Supervised Learning with Balancing Constraints. | Zhengqing Gao, Huimin Wu, Martin Takc, Bin Gu |
| 2022 | ICASSP | Multi-Level Contrastive Learning for Cross-Lingual Alignment. | Beiduo Chen, Wu Guo, Bin Gu, Quan Liu, Yongchao Wang |
| 2022 | ICDM | Efficient Semi-Supervised Adversarial Training without Guessing Labels. | Huimin Wu, William de Vazelhes, Bin Gu |
| 2022 | ICIS | The Risk of Cryptocurrency Payment Adoption. | Chaoyue Gao, Bin Gu, Xianwei Liu, Qiang Ye |
| 2022 | ICML | The power of first-order smooth optimization for black-box non-smooth problems. | Alexander V. Gasnikov, Anton Novitskii, Vasilii Novitskii, Farshed Abdukhakimov, Dmitry Kamzolov, Aleksandr Beznosikov, Martin Takc, Pavel E. Dvurechensky, Bin Gu |
| 2022 | ICML | Gradient-Free Method for Heavily Constrained Nonconvex Optimization. | Wanli Shi, Hongchang Gao, Bin Gu |
| 2022 | Interspeech | Deep speaker embedding with frame-constrained training strategy for speaker verification. | Bin Gu |
| 2022 | KDD | End-to-End Semi-Supervised Ordinal Regression AUC Maximization with Convolutional Kernel Networks. | Ziran Xiong, Wanli Shi, Bin Gu |
| 2021 | AAAI | Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling. | Zhouyuan Huo, Bin Gu, Heng Huang |
| 2021 | AAAI | Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization. | Wanli Shi, Bin Gu |
| 2021 | AAAI | Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients. | Huimin Wu, Zhengmian Hu, Bin Gu |
| 2021 | AAAI | Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. | Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang |
| 2021 | CIKM | Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. | Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang |
| 2021 | ICDM | Finding Age Path of Self-Paced Learning. | Bin Gu, Zhou Zhai, Xiang Li, Heng Huang |
| 2021 | ICIS | Gender Heterogeneity in the Effect of Telework on Labor Market Outcomes during the COVID-19 Pandemic. | Jingbo Hou, Chen Liang, Pei-Yu Chen, Bin Gu |
| 2021 | ICIS | Investor Attention and Crowdfunding Performance. | Lin Hu, Kun Li, Zhenhua Wu, Bin Gu |
| 2021 | ICIS | The Effect of Resilience Messaging on Community Conformity to Government Healthcare Guidelines: An Empirical Analysis of Governors' Twitter Use During COVID-19 Pandemic. | Reza Mousavi, Bin Gu |
| 2021 | Interspeech | Improved Meta-Learning Training for Speaker Verification. | Yafeng Chen, Wu Guo, Bin Gu |
| 2021 | Interspeech | Bidirectional Multiscale Feature Aggregation for Speaker Verification. | Jiajun Qi, Wu Guo, Bin Gu |
| 2021 | KDD | AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. | Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang |
| 2021 | RTAS | Brief Industry Paper: Modeling and Verification of Descent Guidance Control of Mars Lander. | Bohua Zhan, Bin Gu, Xiong Xu, Xiangyu Jin, Shuling Wang, Bai Xue, Xiaofeng Li, Yao Chen, Mengfei Yang, Naijun Zhan |
| 2020 | AAAI | Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. | Wanli Shi, Bin Gu, Xiang Li, Heng Huang |
| 2020 | AAAI | Safe Sample Screening for Robust Support Vector Machine. | Zhou Zhai, Bin Gu, Xiang Li, Heng Huang |
| 2020 | ICASSP | An Improved Deep Neural Network for Modeling Speaker Characteristics at Different Temporal Scales. | Bin Gu, Wu Guo, Lirong Dai, Jun Du |
| 2020 | ICML | Fast OSCAR and OWL Regression via Safe Screening Rules. | Runxue Bao, Bin Gu, Heng Huang |
| 2020 | Interspeech | Unsupervised Regularization-Based Adaptive Training for Speech Recognition. | Fenglin Ding, Wu Guo, Bin Gu, Zhen-Hua Ling, Jun Du |
| 2020 | Interspeech | Adaptive Speaker Normalization for CTC-Based Speech Recognition. | Fenglin Ding, Wu Guo, Bin Gu, Zhen-Hua Ling, Jun Du |
| 2020 | Interspeech | An Adaptive X-Vector Model for Text-Independent Speaker Verification. | Bin Gu, Wu Guo, Fenglin Ding, Zhen-Hua Ling, Jun Du |
| 2020 | KDD | Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. | Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang |
| 2020 | KDD | Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model. | Wanli Shi, Victor S. Sheng, Xiang Li, Bin Gu |
| 2019 | AAAI | Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy. | Bin Gu, Zhouyuan Huo, Heng Huang |
| 2019 | AAAI | Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. | Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang |
| 2019 | ICDM | Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee. | Runxue Bao, Bin Gu, Heng Huang |
| 2019 | ICIS | Product-driven Entrepreneurs and Crowdfunding. | Lin Hu, Zhenhua Wu, Bin Gu |
| 2019 | ICIS | Does AI-based Credit Scoring Improve Financial Inclusion? Evidence from Online Payday Lending. | Hongchang Wang, Chunxiao Li, Bin Gu, Wei Min |
| 2019 | IJCAI | Scalable Semi-Supervised SVM via Triply Stochastic Gradients. | Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang |
| 2019 | IJCAI | Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization. | Bin Gu, Wenhan Xian, Heng Huang |
| 2019 | IJCAI | Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. | Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang |
| 2019 | KDD | Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning. | Shuyang Yu, Bin Gu, Kunpeng Ning, Haiyan Chen, Jian Pei, Heng Huang |
| 2018 | AAAI | Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization. | Bin Gu, De Wang, Zhouyuan Huo, Heng Huang |
| 2018 | AAAI | Asynchronous Doubly Stochastic Sparse Kernel Learning. | Bin Gu, Miao Xin, Zhouyuan Huo, Heng Huang |
| 2018 | AAAI | Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization. | Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang |
| 2018 | AISTATS | Asynchronous Doubly Stochastic Group Regularized Learning. | Bin Gu, Zhouyuan Huo, Heng Huang |
| 2018 | ICIS | Gender Wage Gap in Online Gig Economy and Gender Differences in Job Preferences. | Chen Liang, Yili Hong, Bin Gu, Jing Peng |
| 2018 | ICML | Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines. | Bin Gu, Zhouyuan Huo, Cheng Deng, Heng Huang |
| 2018 | ICML | Decoupled Parallel Backpropagation with Convergence Guarantee. | Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang |
| 2018 | IJCAI | Faster Training Algorithms for Structured Sparsity-Inducing Norm. | Bin Gu, Xingwang Ju, Xiang Li, Guansheng Zheng |
| 2018 | IJCAI | Accelerated Asynchronous Greedy Coordinate Descent Algorithm for SVMs. | Bin Gu, Yingying Shan, Xiang Geng, Guansheng Zheng |
| 2018 | KDD | New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine. | Bin Gu, Xiao-Tong Yuan, Songcan Chen, Heng Huang |
| 2017 | ICIS | Home Bias in Online Employment. | Chen Liang, Kevin Hong, Bin Gu |
| 2017 | ICIS | The Double-Edged Sword of Expert Reviewer Programs: The Effects of Offering Expert Reviewer Status on Review Generation. | Jingchuan Pu, Young Kwark, Sang Pil Han, Bin Gu, Qiang Ye |
| 2017 | ICIS | The Impact of Introductory Incentives on New Users: Evidence from an Online Health Community. | Xiaofei Zhang, Wei Chen, Bin Gu, Xitong Guo |
| 2017 | KDD | Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feature Grouping. | Bin Gu, Guodong Liu, Heng Huang |
| 2017 | UAI | Triply Stochastic Gradients on Multiple Kernel Learning. | Xiang Li, Bin Gu, Shuang Ao, Huaimin Wang, Charles X. Ling |
| 2016 | ICIS | Effectiveness of Performance Feedback in Stimulating User-Generated Content. | Kevin Hong, Bin Gu, Gordon Burtch, Nina Ni Huang, Chen Liang, Kanliang Wang, Dongpu Fu |
| 2016 | ICIS | Effects of IT-enabled Monitoring Systems in Online Labor Markets. | Chen Liang, Kevin Hong, Bin Gu |
| 2015 | ICML | A New Generalized Error Path Algorithm for Model Selection. | Bin Gu, Charles X. Ling |
| 2015 | IJCAI | Bi-Parameter Space Partition for Cost-Sensitive SVM. | Bin Gu, Victor S. Sheng, Shuo Li |
| 2015 | IJCAI | Data Sparseness in Linear SVM. | Xiang Li, Huaimin Wang, Bin Gu, Charles X. Ling |
| 2015 | QRS | An Attributes-Based Allocation Approach of Software Trustworthy Degrees. | Yujing Ma, Yixiang Chen, Bin Gu |
| 2014 | FM | Formal Verification of a Descent Guidance Control Program of a Lunar Lander. | Hengjun Zhao, Mengfei Yang, Naijun Zhan, Bin Gu, Liang Zou, Yao Chen |
| 2014 | ICECCS | A Refinement Calculus for Hybrid Systems. | Bin Gu, Liang Zou |
| 2014 | ICIS | Virtual Team Performance in Crowdsourcing Contests: A Social Network Perspective. | Indika Dissanayake, Jie Jennifer Zhang, Bin Gu |
| 2013 | ICIS | Quantifying the Dynamic Sales Impact of Location-Based Mobile Promotion Technologies. | Xueming Luo, Bin Gu, Zheng Fang, Yunjie Xu |
| 2013 | WCNC | Optimal sensing time of soft decision cooperative spectrum sensing in cognitive radio networks. | Dafei Sun, Tiecheng Song, Ming Wu, Jing Hu, Jie Guo, Bin Gu |
| 2012 | ICIS | Membership Overlap and Inter-Community Collaboration. | Yongsuk Kim, Sirkka L. Jarvenpaa, Bin Gu |
| 2012 | ICIS | Social Influence and Defaults in Peer-to-Peer Lending Networks. | Yong Lu, Bin Gu, Qiang Ye, Zhexiang Sheng |
| 2012 | SEW | An Approach to Requirement Analysis for Periodic Control Systems. | Jianwen Li, Geguang Pu, Zheng Wang, Yuxiang Chen, Liyun Zhang, Yanxia Qi, Bin Gu |
| 2012 | TASE | A Type System for SPARDL. | Zheng Wang, Geguang Pu, Jianwen Li, Bin Gu |
| 2011 | ICIS | How Formal Structure of Electronic Knowledge Sharing Networks Influences Participation Behavior in a Global Enterprise. | Bin Gu, Sirkka L. Jarvenpaa |
| 2011 | ICIS | Consumer Product Consideration and Choice at Purchase Time at Online Retailers. | Bin Gu, Prabhudev Konana, Hsuan-Wei Michelle Chen |
| 2011 | ICIS | Content Contribution under Revenue Sharing and Reputation Concern in Social Media: The Case of YouTube. | Qian Candy Tang, Bin Gu, Andrew B. Whinston |
| 2010 | ICIS | An Investigation of Information Sharing and seeking Behaviors in Virtual Communities. | JaeHong Park, Prabhudev Konana, Bin Gu, Alvin Chung Man Leung |
| 2010 | ICIS | Latent Growth Modeling in IS Research: Basic Tenets, Illustration, and Practical Guidelines. | Paul A. Pavlou, Zhiqiang (Eric) Zheng, Bin Gu |
| 2010 | ISoLA | SPARDL: A Requirement Modeling Language for Periodic Control System. | Zheng Wang, Jianwen Li, Yongxin Zhao, Yanxia Qi, Geguang Pu, Jifeng He, Bin Gu |
| 2009 | ICIS | Habit Formation in Online Communities. | Li Gan, Bin Gu, Sirkka L. Jarvenpaa, Geng Yang |
| 2009 | ICIS | Impact of Multiple Word of Mouth Sources on Retail Sales. | JaeHong Park, Bin Gu, Prabhudev Konana |
| 2008 | ICIS | Market Frictions, Demand Structure and Price Competition in Online Markets. | Anindya Ghose, Bin Gu |
| 2008 | ICIS | Indirect Reciprocity in Contributions to a Peer-to-Peer Music Sharing Network - An Empirical Analysis of Individual Level Data. | Bin Gu, Yun Huang, Wenjing Duan, Andrew B. Whinston |
| 2008 | ICIS | IT Governance and IT Investment Performance: An Empirical Analysis. | Bin Gu, Ling Xue, Gautam Ray |
| 2008 | ICIS | Measuring the Value of Managerial Responses to Online Reviews - A Natural Experiment of Two Online Travel Agencies. | Qiang Ye, Bin Gu, Wei Chen, Rob Law |
| 2008 | IJCNN | On-line off-line Ranking Support Vector Machine and analysis. | Bin Gu, Jiandong Wang, Haiyan Chen |
| 2007 | ICIS | Estimating Menu Costs in Electronic Markets. | Bin Gu, Anindya Ghose |
| 2006 | ICIS | The Role of Dealers in Electronic Markets: Empirical Insights from Online Auctions. | Wenjing Duan, Bin Gu, Andrew B. Whinston |
| 2006 | ICIS | Asset Characteristics and The Impact of IT on Firm Scope and Performance. | Gautam Ray, Ling Xue, Bin Gu, Prabhudev Konana |
| 2005 | ICIS | An Empirical Investigation of Herding on the Internet: The Case of Software Downloading. | Wenjing Duan, Bin Gu, Andrew B. Whinston |
| 2003 | ICIS | Online Discussion Boards for Technical Support: The Effect of Token Recognition on Customer Contributions. | Bin Gu, Sirkka L. Jarvenpaa |
| 2001 | ICIS | Transaction Costs and Market Efficiency. | Bin Gu, Lorin M. Hitt |