Lingkai Kong

Orcid: 0000-0001-6480-513X

According to our database1, Lingkai Kong authored at least 39 papers between 2009 and 2024.

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Bibliography

2024
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints.
CoRR, 2024

TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance.
CoRR, 2024

2023
Characteristics and driving factors of the technology cooperation network evolution: a case study of solid waste treatment field in China.
Technol. Anal. Strateg. Manag., May, 2023

DF2: Distribution-Free Decision-Focused Learning.
CoRR, 2023

MUBen: Benchmarking the Uncertainty of Pre-Trained Models for Molecular Property Prediction.
CoRR, 2023

AdaPlanner: Adaptive Planning from Feedback with Language Models.
CoRR, 2023

AdaPlanner: Adaptive Planning from Feedback with Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Uncertainty Quantification in Deep Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Autoregressive Diffusion Model for Graph Generation.
Proceedings of the International Conference on Machine Learning, 2023

Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Tracing the Evolution of 3-D Printing Technology in China Using LDA-Based Patent Abstract Mining.
IEEE Trans. Engineering Management, 2022

Research on the formation mechanism of big data technology cooperation networks: empirical evidence from China.
Scientometrics, 2022

PROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series.
CoRR, 2022

CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

End-to-end Stochastic Optimization with Energy-based Model.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification.
CoRR, 2021

Innovation Cooperation Network Evolution About Green Building Technology With Government Intervention: Based on Evolutionary Game Theory.
IEEE Access, 2021

When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates.
Proceedings of the 37th International Conference on Machine Learning, 2020

Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2018
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Wide-range Dimmable Clipped Flip-OFDM For Indoor Visible Light Communications.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2018

2016
A Novel OFDM Scheme for VLC Systems Under LED Nonlinear Constraints.
Proceedings of the Communications and Networking, 2016

2014
A frequency-reconfigurable multi-standard 65nm CMOS digital transmitter with LTCC interposers.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2014

2013
Design Considerations for a Direct Digitally Modulated WLAN Transmitter With Integrated Phase Path and Dynamic Impedance Modulation.
IEEE J. Solid State Circuits, 2013

A digitally modulated 2.4GHz WLAN transmitter with integrated phase path and dynamic load modulation in 65nm CMOS.
Proceedings of the 2013 IEEE International Solid-State Circuits Conference, 2013

A 50mW-TX 65mW-RX 60GHz 4-element phased-array transceiver with integrated antennas in 65nm CMOS.
Proceedings of the 2013 IEEE International Solid-State Circuits Conference, 2013

BAG: a designer-oriented integrated framework for the development of AMS circuit generators.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2013

2012
A 10 Gb/s 45 mW Adaptive 60 GHz Baseband in 65 nm CMOS.
IEEE J. Solid State Circuits, 2012

A 21.5mW 10+Gb/s mm-Wave phased-array transmitter in 65nm CMOS.
Proceedings of the Symposium on VLSI Circuits, 2012

2011
A 65 nm CMOS 4-Element Sub-34 mW/Element 60 GHz Phased-Array Transceiver.
IEEE J. Solid State Circuits, 2011

A 65nm CMOS 4-element Sub-34mW/element 60GHz phased-array transceiver.
Proceedings of the IEEE International Solid-State Circuits Conference, 2011

A multi-GHz area-efficient comparator with dynamic offset cancellation.
Proceedings of the 2011 IEEE Custom Integrated Circuits Conference, 2011

2009
A 90 nm CMOS Low-Power 60 GHz Transceiver With Integrated Baseband Circuitry.
IEEE J. Solid State Circuits, 2009

A 90nm CMOS low-power 60GHz transceiver with integrated baseband circuitry.
Proceedings of the IEEE International Solid-State Circuits Conference, 2009


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