Real-time energy management with improved cost-capacity tradeoff. - Bingcong Li; Tianyi Chen; Xin Wang 003; Georgios B. Giannakis (GlobalSIP, 2017)

Secure Edge Computing in IoT via Online Learning. - Bingcong Li; Tianyi Chen; Xin Wang 003; Georgios B. Giannakis (ACSSC, 2018)

Delayed Bandit Online Learning with Unknown Delays. - Bingcong Li; Tianyi Chen; Georgios B. Giannakis (CoRR, 2018)

Bandit Online Learning with Unknown Delays. - Bingcong Li; Tianyi Chen; Georgios B. Giannakis (AISTATS, 2019)

Revisiting Sample Selection Approach to Positive-Unlabeled Learning: Turning Unlabeled Data into Positive rather than Negative. - Miao Xu 001; Bingcong Li; Gang Niu 001; Bo Han 003; Masashi Sugiyama (CoRR, 2019)

Tight Linear Convergence Rate of ADMM for Decentralized Optimization. - Meng Ma; Bingcong Li; Georgios B. Giannakis (CoRR, 2019)

A Multistep Lyapunov Approach for Finite-Time Analysis of Biased Stochastic Approximation. - Gang Wang 014; Bingcong Li; Georgios B. Giannakis (CoRR, 2019)

Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits. - Lingda Wang; Huozhi Zhou; Bingcong Li; Lav R. Varshney; Zhizhen Zhao 001 (CoRR, 2019)

Adaptive Step Sizes in Variance Reduction via Regularization. - Bingcong Li; Georgios B. Giannakis (CoRR, 2019)

Real-Time Energy Management in Microgrids With Reduced Battery Capacity Requirements. - Bingcong Li; Tianyi Chen; Xin Wang 003; Georgios B. Giannakis (IEEE Trans. Smart Grid, 2019)

Secure Mobile Edge Computing in IoT via Collaborative Online Learning. - Bingcong Li; Tianyi Chen; Georgios B. Giannakis (IEEE Trans. Signal Process., 2019)

On the Convergence of SARAH and Beyond. - Bingcong Li; Meng Ma; Georgios B. Giannakis (AISTATS, 2020)

Revisit of Estimate Sequence for Accelerated Gradient Methods. - Bingcong Li; Mario Coutiño; Georgios B. Giannakis (ICASSP, 2020)

Almost Tune-Free Variance Reduction. - Bingcong Li; Lingda Wang; Georgios B. Giannakis (ICML, 2020)

Confusable Learning for Large-Class Few-Shot Classification. - Bingcong Li; Bo Han 003; Zhuowei Wang 003; Jing Jiang 002; Guodong Long (ECML/PKDD (2), 2020)

How Does Momentum Help Frank Wolfe? - Bingcong Li; Mario Coutino; Georgios B. Giannakis; Geert Leus (CoRR, 2020)

Hamming OCR: A Locality Sensitive Hashing Neural Network for Scene Text Recognition. - Bingcong Li; Xin Tang; Xianbiao Qi; Yihao Chen; Rong Xiao 003 (CoRR, 2020)

Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem. - Bingcong Li; Lingda Wang; Georgios B. Giannakis; Zhizhen Zhao 001 (AAAI, 2021)

Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. - Lingda Wang; Bingcong Li; Huozhi Zhou; Georgios B. Giannakis; Lav R. Varshney; Zhizhen Zhao 001 (AAAI, 2021)

Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits. - Lingda Wang; Huozhi Zhou; Bingcong Li; Lav R. Varshney; Zhizhen Zhao 001 (ICASSP, 2021)

Accelerating Frank-Wolfe with Weighted Average Gradients. - Yilang Zhang; Bingcong Li; Georgios B. Giannakis (ICASSP, 2021)

Heavy Ball Momentum for Conditional Gradient. - Bingcong Li; Alireza Sadeghi; Georgios B. Giannakis (NeurIPS, 2021)

PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Table Image Recognition to Latex. - Yelin He; Xianbiao Qi; Jiaquan Ye; Peng Gao; Yihao Chen; Bingcong Li; Xin Tang; Rong Xiao 003 (CoRR, 2021)

Distributionally Robust Semi-Supervised Learning Over Graphs. - Alireza Sadeghi; Meng Ma; Bingcong Li; Georgios B. Giannakis (CoRR, 2021)

A Momentum-Guided Frank-Wolfe Algorithm. - Bingcong Li; Mario Coutiño; Georgios B. Giannakis; Geert Leus (IEEE Trans. Signal Process., 2021)

Parallel and Robust Text Rectifier for Scene Text Recognition. - Bingcong Li; Xin Tang; Jun Wang 123; Liang Diao; Rui Fang; Guotong Xie; Weifu Chen (BMVC, 2022)

EMU: Effective Multi-Hot Encoding Net for Lightweight Scene Text Recognition With a Large Character Set. - Bingcong Li; Xin Tang; Xianbiao Qi; Yihao Chen; Chun-Guang Li; Rong Xiao 003 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Scalable Bayesian Meta-Learning through Generalized Implicit Gradients. - Yilang Zhang; Bingcong Li; Shijian Gao; Georgios B. Giannakis (AAAI, 2023)

Conic Descent Redux for Memory-Efficient Optimization. - Bingcong Li; Georgios B. Giannakis (ACSSC, 2023)

Enhancing Sharpness-Aware Optimization Through Variance Suppression. - Bingcong Li; Georgios B. Giannakis (NeurIPS, 2023)

Contractive error feedback for gradient compression. - Bingcong Li; Shuai Zheng; Parameswaran Raman; Anshumali Shrivastava; Georgios B. Giannakis (CoRR, 2023)

Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process. - Qin Lu 002; Konstantinos D. Polyzos; Bingcong Li; Georgios B. Giannakis (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Meta-Learning With Versatile Loss Geometries for Fast Adaptation Using Mirror Descent. - Yilang Zhang; Bingcong Li; Georgios B. Giannakis (ICASSP, 2024)

DPZero: Private Fine-Tuning of Language Models without Backpropagation. - Liang Zhang; Bingcong Li; Kiran Koshy Thekumparampil; Sewoong Oh; Niao He (ICML, 2024)

Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems. - Bingcong Li; Liang Zhang; Niao He (NeurIPS, 2024)

Preconditioned Sharpness-Aware Minimization: Unifying Analysis and a Novel Learning Algorithm. - Yilang Zhang; Bingcong Li; Georgios B. Giannakis (ICASSP, 2025)

On the Crucial Role of Initialization for Matrix Factorization. - Bingcong Li; Liang Zhang; Aryan Mokhtari; Niao He (ICLR, 2025)

Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective. - Jiawei Huang; Bingcong Li; Christoph Dann; Niao He (CoRR, 2025)

RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models. - Yilang Zhang; Bingcong Li; Georgios B. Giannakis (CoRR, 2025)

PoLAR: Polar-Decomposed Low-Rank Adapter Representation. - Kai Lion; Liang Zhang; Bingcong Li; Niao He (CoRR, 2025)

Zeroth-Order Optimization Finds Flat Minima. - Liang Zhang; Bingcong Li; Kiran Koshy Thekumparampil; Sewoong Oh; Michael Muehlebach; Niao He (CoRR, 2025)