Bingcong Li - RankMe

63 papers A* 10A 3Misc 7Journal 41Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ANCRe: Adaptive Neural Connection Reassignment for Efficient Depth Scaling. CoRR Yilang Zhang, Bingcong Li, Niao He, Georgios B. Giannakis
2026	J	`jnl`	SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference. CoRR Hao Ma, Melis Ilayda Bal, Liang Zhang, Bingcong Li, Niao He, Melanie Nicole Zeilinger, Michael Muehlebach
2025	A*	`conf`	Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective. ICML Jiawei Huang, Bingcong Li, Christoph Dann, Niao He
2025	J	`jnl`	Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective. CoRR Jiawei Huang, Bingcong Li, Christoph Dann, Niao He
2025	J	`jnl`	ConMeZO: Adaptive Descent-Direction Sampling for Gradient-Free Finetuning of Large Language Models. CoRR Lejs Deen Behric, Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil
2025	J	`jnl`	Learnable Loss Geometries with Mirror Descent for Scalable and Convergent Meta-Learning. CoRR Yilang Zhang, Bingcong Li, Georgios B. Giannakis
2025	J	`jnl`	On the Benefits of Weight Normalization for Overparameterized Matrix Sensing. CoRR Yudong Wei, Liang Zhang, Bingcong Li, Niao He
2025	A*	`conf`	On the Crucial Role of Initialization for Matrix Factorization. ICLR Bingcong Li, Liang Zhang, Aryan Mokhtari, Niao He
2025	J	`jnl`	PoLAR: Polar-Decomposed Low-Rank Adapter Representation. CoRR Kai Lion, Liang Zhang, Bingcong Li, Niao He
2025	Misc	`conf`	Preconditioned Sharpness-Aware Minimization: Unifying Analysis and a Novel Learning Algorithm. ICASSP Yilang Zhang, Bingcong Li, Georgios B. Giannakis
2025	J	`jnl`	Preconditioned Sharpness-Aware Minimization: Unifying Analysis and a Novel Learning Algorithm. CoRR Yilang Zhang, Bingcong Li, Georgios B. Giannakis
2025	J	`jnl`	RefLoRA: Refactored Low-Rank Adaptation for Efficient Fine-Tuning of Large Models. CoRR Yilang Zhang, Bingcong Li, Georgios B. Giannakis
2025	J	`jnl`	VASSO: Variance Suppression for Sharpness-Aware Minimization. CoRR Bingcong Li, Yilang Zhang, Georgios B. Giannakis
2025	J	`jnl`	Zeroth-Order Optimization Finds Flat Minima. CoRR Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Michael Muehlebach, Niao He
2024	A*	`conf`	DPZero: Private Fine-Tuning of Language Models without Backpropagation. ICML Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He
2024	A*	`conf`	Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems. NeurIPS Bingcong Li, Liang Zhang, Niao He
2024	J	`jnl`	Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems. CoRR Bingcong Li, Liang Zhang, Niao He
2024	Misc	`conf`	Meta-Learning With Versatile Loss Geometries for Fast Adaptation Using Mirror Descent. ICASSP Yilang Zhang, Bingcong Li, Georgios B. Giannakis
2024	J	`jnl`	On the Crucial Role of Initialization for Matrix Factorization. CoRR Bingcong Li, Liang Zhang, Aryan Mokhtari, Niao He
2023	Misc	`conf`	Conic Descent Redux for Memory-Efficient Optimization. ACSSC Bingcong Li, Georgios B. Giannakis
2023	J	`jnl`	Conic Descent Redux for Memory-Efficient Optimization. CoRR Bingcong Li, Georgios B. Giannakis
2023	J	`jnl`	Contractive error feedback for gradient compression. CoRR Bingcong Li, Shuai Zheng, Parameswaran Raman, Anshumali Shrivastava, Georgios B. Giannakis
2023	A*	`conf`	Enhancing Sharpness-Aware Optimization Through Variance Suppression. NeurIPS Bingcong Li, Georgios B. Giannakis
2023	J	`jnl`	Enhancing Sharpness-Aware Optimization Through Variance Suppression. CoRR Bingcong Li, Georgios B. Giannakis
2023	J	`jnl`	Meta-Learning with Versatile Loss Geometries for Fast Adaptation Using Mirror Descent. CoRR Yilang Zhang, Bingcong Li, Georgios B. Giannakis
2023	A*	`conf`	Scalable Bayesian Meta-Learning through Generalized Implicit Gradients. AAAI Yilang Zhang, Bingcong Li, Shijian Gao, Georgios B. Giannakis
2023	J	`jnl`	Scalable Bayesian Meta-Learning through Generalized Implicit Gradients. CoRR Yilang Zhang, Bingcong Li, Shijian Gao, Georgios B. Giannakis
2023	J	`jnl`	Surrogate Modeling for Bayesian Optimization Beyond a Single Gaussian Process. IEEE Trans. Pattern Anal. Mach. Intell. Qin Lu, Konstantinos D. Polyzos, Bingcong Li, Georgios B. Giannakis
2022	J	`jnl`	EMU: Effective Multi-Hot Encoding Net for Lightweight Scene Text Recognition With a Large Character Set. IEEE Trans. Circuits Syst. Video Technol. Bingcong Li, Xin Tang, Xianbiao Qi, Yihao Chen, Chun-Guang Li, Rong Xiao
2022	A	`conf`	Parallel and Robust Text Rectifier for Scene Text Recognition. BMVC Bingcong Li, Xin Tang, Jun Wang, Liang Diao, Rui Fang, Guotong Xie, Weifu Chen
2022	J	`jnl`	Surrogate modeling for Bayesian optimization beyond a single Gaussian process. CoRR Qin Lu, Konstantinos D. Polyzos, Bingcong Li, Georgios B. Giannakis
2021	J	`jnl`	A Momentum-Guided Frank-Wolfe Algorithm. IEEE Trans. Signal Process. Bingcong Li, Mario Coutiño, Georgios B. Giannakis, Geert Leus
2021	Misc	`conf`	Accelerating Frank-Wolfe with Weighted Average Gradients. ICASSP Yilang Zhang, Bingcong Li, Georgios B. Giannakis
2021	A*	`conf`	Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. AAAI Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao
2021	J	`jnl`	Distributionally Robust Semi-Supervised Learning Over Graphs. CoRR Alireza Sadeghi, Meng Ma, Bingcong Li, Georgios B. Giannakis
2021	A*	`conf`	Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem. AAAI Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao
2021	A*	`conf`	Heavy Ball Momentum for Conditional Gradient. NeurIPS Bingcong Li, Alireza Sadeghi, Georgios B. Giannakis
2021	J	`jnl`	Heavy Ball Momentum for Conditional Gradient. CoRR Bingcong Li, Alireza Sadeghi, Georgios B. Giannakis
2021	Misc	`conf`	Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits. ICASSP Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao
2021	J	`jnl`	PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Table Image Recognition to Latex. CoRR Yelin He, Xianbiao Qi, Jiaquan Ye, Peng Gao, Yihao Chen, Bingcong Li, Xin Tang, Rong Xiao
2020	J	`jnl`	Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. CoRR Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao
2020	A*	`conf`	Almost Tune-Free Variance Reduction. ICML Bingcong Li, Lingda Wang, Georgios B. Giannakis
2020	—	`conf`	Confusable Learning for Large-Class Few-Shot Classification. ECML/PKDD (2) Bingcong Li, Bo Han, Zhuowei Wang, Jing Jiang, Guodong Long
2020	J	`jnl`	Confusable Learning for Large-class Few-Shot Classification. CoRR Bingcong Li, Bo Han, Zhuowei Wang, Jing Jiang, Guodong Long
2020	J	`jnl`	Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem. CoRR Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao
2020	J	`jnl`	Hamming OCR: A Locality Sensitive Hashing Neural Network for Scene Text Recognition. CoRR Bingcong Li, Xin Tang, Xianbiao Qi, Yihao Chen, Rong Xiao
2020	J	`jnl`	How Does Momentum Help Frank Wolfe? CoRR Bingcong Li, Mario Coutino, Georgios B. Giannakis, Geert Leus
2020	A	`conf`	On the Convergence of SARAH and Beyond. AISTATS Bingcong Li, Meng Ma, Georgios B. Giannakis
2020	Misc	`conf`	Revisit of Estimate Sequence for Accelerated Gradient Methods. ICASSP Bingcong Li, Mario Coutiño, Georgios B. Giannakis
2019	J	`jnl`	A Multistep Lyapunov Approach for Finite-Time Analysis of Biased Stochastic Approximation. CoRR Gang Wang, Bingcong Li, Georgios B. Giannakis
2019	J	`jnl`	Adaptive Step Sizes in Variance Reduction via Regularization. CoRR Bingcong Li, Georgios B. Giannakis
2019	J	`jnl`	Almost Tune-Free Variance Reduction. CoRR Bingcong Li, Lingda Wang, Georgios B. Giannakis
2019	A	`conf`	Bandit Online Learning with Unknown Delays. AISTATS Bingcong Li, Tianyi Chen, Georgios B. Giannakis
2019	J	`jnl`	Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits. CoRR Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao
2019	J	`jnl`	On the Convergence of SARAH and Beyond. CoRR Bingcong Li, Meng Ma, Georgios B. Giannakis
2019	J	`jnl`	Real-Time Energy Management in Microgrids With Reduced Battery Capacity Requirements. IEEE Trans. Smart Grid Bingcong Li, Tianyi Chen, Xin Wang, Georgios B. Giannakis
2019	J	`jnl`	Revisiting Sample Selection Approach to Positive-Unlabeled Learning: Turning Unlabeled Data into Positive rather than Negative. CoRR Miao Xu, Bingcong Li, Gang Niu, Bo Han, Masashi Sugiyama
2019	J	`jnl`	Secure Mobile Edge Computing in IoT via Collaborative Online Learning. IEEE Trans. Signal Process. Bingcong Li, Tianyi Chen, Georgios B. Giannakis
2019	J	`jnl`	Tight Linear Convergence Rate of ADMM for Decentralized Optimization. CoRR Meng Ma, Bingcong Li, Georgios B. Giannakis
2018	J	`jnl`	Delayed Bandit Online Learning with Unknown Delays. CoRR Bingcong Li, Tianyi Chen, Georgios B. Giannakis
2018	Misc	`conf`	Secure Edge Computing in IoT via Online Learning. ACSSC Bingcong Li, Tianyi Chen, Xin Wang, Georgios B. Giannakis
2018	J	`jnl`	Secure Mobile Edge Computing in IoT via Collaborative Online Learning. CoRR Bingcong Li, Tianyi Chen, Georgios B. Giannakis
2017	—	`conf`	Real-time energy management with improved cost-capacity tradeoff. GlobalSIP Bingcong Li, Tianyi Chen, Xin Wang, Georgios B. Giannakis