Lingkai Kong

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 48

Top Topics

Top Venues

Publications

Yuchen Zhu, Tianrong Chen, Lingkai Kong, Evangelos A. Theodorou, Molei Tao
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups. CoRR (2024)
Lingkai Kong, Molei Tao
Convergence of Kinetic Langevin Monte Carlo on Lie groups. COLT (2024)
Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash
Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis. CoRR (2024)
Lingkai Kong, Molei Tao
Quantitative Convergences of Lie Group Momentum Optimizers. CoRR (2024)
Lingkai Kong, Haotian Sun, Yuchen Zhuang, Haorui Wang, Wenhao Mu, Chao Zhang
Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process. AISTATS (2024)
Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning. CoRR (2024)
Lingkai Kong, Molei Tao
Convergence of Kinetic Langevin Monte Carlo on Lie groups. CoRR (2024)
Lingkai Kong, Haorui Wang, Wenhao Mu, Yuanqi Du, Yuchen Zhuang, Yifei Zhou, Yue Song, Rongzhi Zhang, Kai Wang, Chao Zhang
Aligning Large Language Models with Representation Editing: A Control Perspective. CoRR (2024)
Haorui Wang, Rongzhi Zhang, Yinghao Li, Lingkai Kong, Yuchen Zhuang, Xiusi Chen, Chao Zhang
TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance. CoRR (2024)
Lingkai Kong, Yuanqi Du, Wenhao Mu, Kirill Neklyudov, Valentin De Bortol, Haorui Wang, Dongxia Wu, Aaron Ferber, Yi-An Ma, Carla P. Gomes, Chao Zhang
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints. CoRR (2024)
Haorui Wang, Marta Skreta, Cher-Tian Ser, Wenhao Gao, Lingkai Kong, Felix Streith-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Alán Aspuru-Guzik, Kirill Neklyudov, Chao Zhang
Efficient Evolutionary Search Over Chemical Space with Large Language Models. CoRR (2024)
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting. CoRR (2024)
Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang
MUBen: Benchmarking the Uncertainty of Molecular Representation Models. Trans. Mach. Learn. Res. 2024 (2024)
Lingkai Kong, Yuqing Wang, Molei Tao
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport. ICLR (2023)
Yonghong Ma, Xiaomeng Yang, Sen Qu, Lingkai Kong
Characteristics and driving factors of the technology cooperation network evolution: a case study of solid waste treatment field in China. Technol. Anal. Strateg. Manag. 35 (5) (2023)
Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang
MUBen: Benchmarking the Uncertainty of Pre-Trained Models for Molecular Property Prediction. CoRR (2023)
Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang
DF2: Distribution-Free Decision-Focused Learning. CoRR (2023)
Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. CoRR (2023)
Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang
AdaPlanner: Adaptive Planning from Feedback with Language Models. CoRR (2023)
Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. KDD (2023)
Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang
Autoregressive Diffusion Model for Graph Generation. CoRR (2023)
Lingkai Kong, Harshavardhan Kamarthi, Peng Chen, B. Aditya Prakash, Chao Zhang
Uncertainty Quantification in Deep Learning. KDD (2023)
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting. KDD (2023)
Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang
AdaPlanner: Adaptive Planning from Feedback with Language Models. NeurIPS (2023)
Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang
Autoregressive Diffusion Model for Graph Generation. ICML (2023)
Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang
End-to-end Stochastic Optimization with Energy-based Model. NeurIPS (2022)
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. WWW (2022)
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
PROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series. CoRR (2022)
Wei Chen, Chaoran Lin, Chuanyun Li, Lingkai Kong, Zaoli Yang
Tracing the Evolution of 3-D Printing Technology in China Using LDA-Based Patent Abstract Mining. IEEE Trans. Engineering Management 69 (4) (2022)
Lingkai Kong, Yuqing Wang, Molei Tao
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport. CoRR (2022)
Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang
AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models. NAACL-HLT (2022)
Yonghong Ma, Xiaomeng Yang, Sen Qu, Lingkai Kong
Research on the formation mechanism of big data technology cooperation networks: empirical evidence from China. Scientometrics 127 (3) (2022)
Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang
End-to-End Stochastic Optimization with Energy-Based Model. CoRR (2022)
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. CoRR (2021)
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. CoRR (2021)
Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang
ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification. CoRR (2021)
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. NeurIPS (2021)
Yonghong Ma, Lingkai Kong, Xiaomeng Yang, Chaoran Lin
Innovation Cooperation Network Evolution About Green Building Technology With Government Intervention: Based on Evolutionary Game Theory. IEEE Access 9 (2021)
Lingkai Kong, Haoming Jiang, Yuchen Zhuang, Jie Lyu, Tuo Zhao, Chao Zhang
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data. EMNLP (1) (2020)
Lingkai Kong, Haoming Jiang, Yuchen Zhuang, Jie Lyu, Tuo Zhao, Chao Zhang
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data. CoRR (2020)
Lingkai Kong, Jimeng Sun, Chao Zhang
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates. ICML (2020)
Lingkai Kong, Jimeng Sun, Chao Zhang
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates. CoRR (2020)
Lingkai Kong, Molei Tao
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function. CoRR (2020)
Lingkai Kong, Molei Tao
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function. NeurIPS (2020)
Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. CoRR (2018)
Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. UAI (2018)
Liang Wu, Lingkai Kong, Zaichen Zhang, Jian Dang, Huaping Liu
Wide-range Dimmable Clipped Flip-OFDM For Indoor Visible Light Communications. ICCC (2018)
Lingkai Kong, Congcong Cao, Siyuan Zhang, Mengchao Li, Liang Wu, Zaichen Zhang, Jian Dang
A Novel OFDM Scheme for VLC Systems Under LED Nonlinear Constraints. ChinaCom (1) (2016)
Nai-Chung Kuo, Bonjern Yang, Chaoying Wu, Lingkai Kong, Angie Wang, Michael Reiha, Elad Alon, Ali M. Niknejad, Borivoje Nikolic
A frequency-reconfigurable multi-standard 65nm CMOS digital transmitter with LTCC interposers. A-SSCC (2014)
Lingkai Kong, Dongjin Seo, Elad Alon
A 50mW-TX 65mW-RX 60GHz 4-element phased-array transceiver with integrated antennas in 65nm CMOS. ISSCC (2013)
John Crossley, Alberto Puggelli, Hanh-Phuc Le, B. Yang, R. Nancollas, Kwangmo Jung, Lingkai Kong, Nathan Narevsky, Yue Lu, Nicholas Sutardja, E. J. An, Alberto L. Sangiovanni-Vincentelli, Elad Alon
BAG: a designer-oriented integrated framework for the development of AMS circuit generators. ICCAD (2013)
Lu Ye, Jiashu Chen, Lingkai Kong, Philippe Cathelin, Elad Alon, Ali M. Niknejad
A digitally modulated 2.4GHz WLAN transmitter with integrated phase path and dynamic load modulation in 65nm CMOS. ISSCC (2013)
Lu Ye, Jiashu Chen, Lingkai Kong, Elad Alon, Ali M. Niknejad
Design Considerations for a Direct Digitally Modulated WLAN Transmitter With Integrated Phase Path and Dynamic Impedance Modulation. IEEE J. Solid State Circuits 48 (12) (2013)
Chintan Thakkar, Lingkai Kong, Kwangmo Jung, Antoine Frappé, Elad Alon
A 10 Gb/s 45 mW Adaptive 60 GHz Baseband in 65 nm CMOS. IEEE J. Solid State Circuits 47 (4) (2012)
Lingkai Kong, Elad Alon
A 21.5mW 10+Gb/s mm-Wave phased-array transmitter in 65nm CMOS. VLSIC (2012)
Maryam Tabesh, Jiashu Chen, Cristian Marcu, Lingkai Kong, Shinwon Kang, Ali M. Niknejad, Elad Alon
A 65 nm CMOS 4-Element Sub-34 mW/Element 60 GHz Phased-Array Transceiver. IEEE J. Solid State Circuits 46 (12) (2011)
Maryam Tabesh, Jiashu Chen, Cristian Marcu, Lingkai Kong, Shinwon Kang, Elad Alon, Ali M. Niknejad
A 65nm CMOS 4-element Sub-34mW/element 60GHz phased-array transceiver. ISSCC (2011)
Lingkai Kong, Yue Lu, Elad Alon
A multi-GHz area-efficient comparator with dynamic offset cancellation. CICC (2011)
Cristian Marcu, Debopriyo Chowdhury, Chintan Thakkar, Lingkai Kong, Maryam Tabesh, Jung-Dong Park, Yanjie Wang, Bagher Afshar, Abhinav Gupta, Amin Arbabian, Simone Gambini, Reza Zamani, Ali M. Niknejad, Elad Alon
A 90nm CMOS low-power 60GHz transceiver with integrated baseband circuitry. ISSCC (2009)
Cristian Marcu, Debopriyo Chowdhury, Chintan Thakkar, Jung-Dong Park, Lingkai Kong, Maryam Tabesh, Yanjie Wang, Bagher Afshar, Abhinav Gupta, Amin Arbabian, Simone Gambini, Reza Zamani, Elad Alon, Ali M. Niknejad
A 90 nm CMOS Low-Power 60 GHz Transceiver With Integrated Baseband Circuitry. IEEE J. Solid State Circuits 44 (12) (2009)