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2020 – today
- 2026
[i15]Binghui Li, Kaifei Wang, Han Zhong, Pinyan Lu, Liwei Wang:
Muon in Associative Memory Learning: Training Dynamics and Scaling Laws. CoRR abs/2602.05725 (2026)- [i14]Binghui Li, Zilin Wang, Fengling Chen, Shiyang Zhao, Ruiheng Zheng, Lei Wu:
Optimal Learning-Rate Schedules under Functional Scaling Laws: Power Decay and Warmup-Stable-Decay. CoRR abs/2602.06797 (2026) - [i13]Jinbo Wang, Binghui Li, Zhanpeng Zhou, Mingze Wang, Yuxuan Sun, Jiaqi Zhang, Xunliang Cai, Lei Wu:
Fast Catch-Up, Late Switching: Optimal Batch Size Scheduling via Functional Scaling Laws. CoRR abs/2602.14208 (2026) - [i12]Mingze Wang, Shuchen Zhu, Yuxin Fang, Binghui Li, Kai Shen, Shu Zhong:
Negligible in Size, Significant in Effect: On Scale Vectors in Large Language Models. CoRR abs/2605.26895 (2026) - 2025
- [j4]Fangwei Mei, Binghui Li, Zige Xu, Xudong Li, Xinhua Zhu
:
Discrete element modeling of straw bale: An innovative approach to simulate the compression mechanics of fiber-based materials. Comput. Electron. Agric. 231: 110002 (2025) - [c17]Binghui Li, Minghui Zou, Xiaowang Zhang, Shizhan Chen, Zhiyong Feng:
A Reinforcement Learning Framework for Cross-Lingual Stance Detection Using Chain-of-Thought Alignment. ACL (Findings) 2025: 21674-21688 - [c16]Yong Sun, Yin Zhu, Yiran Tao, Binghui Li:
Scene Graph Generation Approach with Integrated Environmental Contextual Information. CACML 2025: 1-6 - [c15]Binghui Li, Yuanzhi Li:
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data. ICLR 2025 - [c14]Binghui Li, Zhixuan Pan, Kaifeng Lyu, Jian Li:
Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks. ICLR 2025 - [c13]Binghui Li, Yuanzhi Li:
On the Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics. ICML 2025 - [c12]Binghui Li, Fengling Chen, Zixun Huang, Lean Wang, Lei Wu:
Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules. NeurIPS 2025 - [c11]Qinhan Yu, Zhiyou Xiao, Binghui Li, Zhengren Wang, Chong Chen, Wentao Zhang:
MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation. SIGIR 2025: 3616-3626 - [i11]Qinhan Yu, Zhiyou Xiao, Binghui Li, Zhengren Wang, Chong Chen, Wentao Zhang:
MRAMG-Bench: A BeyondText Benchmark for Multimodal Retrieval-Augmented Multimodal Generation. CoRR abs/2502.04176 (2025) - [i10]Zhiyou Xiao, Qinhan Yu, Binghui Li, Geng Chen, Chong Chen, Wentao Zhang:
M2IO-R1: An Efficient RL-Enhanced Reasoning Framework for Multimodal Retrieval Augmented Multimodal Generation. CoRR abs/2508.06328 (2025) - [i9]Binghui Li, Fengling Chen, Zixun Huang, Lean Wang, Lei Wu:
Unveiling the Role of Learning Rate Schedules via Functional Scaling Laws. CoRR abs/2509.19189 (2025) - [i8]Xuxin Cheng, Ke Zeng, Zhiquan Cao, Linyi Dai, Wenxuan Gao, Fei Han, Ai Jian, Feng Hong, Wenxing Hu, Zihe Huang, Dejian Kong, Jia Leng, Zhuoyuan Liao, Pei Liu, Jiaye Lin, Xing Ma, Jingqing Ruan, Jiaxing Song, Xiaoyu Tan, Ruixuan Xiao, Wenhui Yu, Wenyu Zhan, Haoxing Zhang, Chao Zhou, Hao Zhou, Shaodong Zheng, Ruinian Chen, Siyuan Chen, Ziyang Chen, Yiwen Dong, Yaoyou Fan, Yangyi Fang, Yang Gan, Shiguang Guo, Qi He, Chaowen Hu, Binghui Li, Dailin Li, Xiangyu Li, Yan Li, Chengjian Liu, Xiangfeng Liu, Jiahui Lv, Qiao Ma, Jiang Pan, Cong Qin, Chenxing Sun, Wen Sun, Zhonghui Wang, Abudukelimu Wuerkaixi, Xin Yang, Fangyi Yuan, Yawen Zhu, Tianyi Zhai, Jie Zhang, Runlai Zhang, Yao Xu, Yiran Zhao, Yifan Wang, Xunliang Cai, Yangen Hu, Cao Liu, Lu Pan, Xiaoli Wang, Bo Xiao, Wenyuan Yao, Qianlin Zhou, Benchang Zhu:
Higher Satisfaction, Lower Cost: A Technical Report on How LLMs Revolutionize Meituan's Intelligent Interaction Systems. CoRR abs/2510.13291 (2025) - [i7]Tingkai Yan, Haodong Wen, Binghui Li, Kairong Luo, Wenguang Chen, Kaifeng Lyu:
Larger Datasets Can Be Repeated More: A Theoretical Analysis of Multi-Epoch Scaling in Linear Regression. CoRR abs/2511.13421 (2025) - 2024
- [i6]Binghui Li, Yuanzhi Li:
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data. CoRR abs/2410.08503 (2024) - [i5]Binghui Li, Zhixuan Pan, Kaifeng Lyu, Jian Li:
Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks. CoRR abs/2410.10322 (2024) - 2023
- [j3]Yanzi Zhang, Shuhan Zhou, Binghui Li, Mingzhi He, Gao Liu:
A digital control strategy for three-phase PWM converter to suppress output voltage ripple under unbalanced input voltages. IEICE Electron. Express 20(21): 20230280 (2023) - [c10]Yujie Di, Caiming Sun, Shuyan Chen, Weiwei Liu, Yizhan Dai, Binghui Li, Wu Shi, Jing Lin, Yingjie Shao, Jing Xu, Lian-Kuan Chen:
Capacity Enhancement of VLC by Blue-green Wavelength Division Multiplexing Using Optical Phased Array. OFC 2023: 1-3 - [c9]Weiwei Liu, Binghui Li, Caiming Sun:
Novel Blue-green Light Phased Array by Light-sheet-excited One-dimension Strip Grating Array. OFC 2023: 1-3 - [c8]Caiming Sun, Binghui Li, Ning Ding, Aidong Zhang:
High-resolution Radiation Characterization for an Uniformly Emitted SiNx Nanophotonic Phased Array. OFC 2023: 1-3 - [i4]Binghui Li, Yuanzhi Li:
Why Clean Generalization and Robust Overfitting Both Happen in Adversarial Training. CoRR abs/2306.01271 (2023) - 2022
- [j2]Binghui Li, Badong Chen:
An Adaptive Rapidly-Exploring Random Tree. IEEE CAA J. Autom. Sinica 9(2): 283-294 (2022) - [c7]Binghui Li, Jikai Jin, Han Zhong, John E. Hopcroft, Liwei Wang:
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power. NeurIPS 2022 - [c6]Binghui Li, Caiming Sun, Aidong Zhang:
Liquid Waveguide Cladding for 2D Beam Steering of An Optical Phased Array at a Single Wavelength. OFC 2022: 1-3 - [c5]Caiming Sun, Binghui Li, Wu Shi, Jing Lin, Ning Ding, Aidong Zhang:
Theoretical Model and Validation for Broadband Optical Phased Arrays. OECC/PSC 2022: 1-3 - [i3]Ruichen Li, Binghui Li, Qi Qian, Liwei Wang:
Reconstruction Task Finds Universal Winning Tickets. CoRR abs/2202.11484 (2022) - [i2]Binghui Li, Jikai Jin, Han Zhong, John E. Hopcroft, Liwei Wang:
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power. CoRR abs/2205.13863 (2022) - 2021
- [c4]Hongjie Wang, Caiming Sun, Lesi Yang, Xiaomin Nie, Binghui Li, Aidong Zhang:
Uniform emission of large-scale optical phase arrays with wide wavelength tuning. OFC 2021: 1-3 - [i1]Binghui Li, Shiji Xin, Qizhe Zhang:
Boosting Certified 𝓁∞ Robustness with EMA Method and Ensemble Model. CoRR abs/2107.00230 (2021) - 2020
- [c3]Binghui Li, Jie Zhang, Benjamin F. Hobbs:
A Copula Enhanced Convolution for Uncertainty Aggregation. ISGT 2020: 1-5
2010 – 2019
- 2019
- [c2]Dorcas Ofori-Boateng, Asim Kumer Dey, Yulia R. Gel, Binghui Li, Jie Zhang, H. Vincent Poor:
Assessing the Resilience of the Texas Power Grid Network. DSW 2019: 280-284 - [c1]Binghui Li, Jie Zhang, Ali Mehmani, Patricia J. Culligan:
Analyze the Break-even Cost of Lithium-ion Battery under Time-of-use Pricing Tariffs. ISGT 2019: 1-5 - 2016
- [j1]Joseph F. DeCarolis, Samaneh Babaee, Binghui Li, S. Kanungo:
Modelling to generate alternatives with an energy system optimization model. Environ. Model. Softw. 79: 300-310 (2016)
Coauthor Index
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last updated on 2026-06-29 01:44 CEST by the dblp team
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