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2020 – today
- 2024
[j9]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)- [c27]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: 4582-4590 - [c26]Lingkai Kong, Molei Tao:
Convergence of Kinetic Langevin Monte Carlo on Lie groups. COLT 2024: 3011-3063 - [c25]Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash:
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning. ICML 2024 - [i28]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 abs/2401.13849 (2024) - [i27]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 abs/2402.18012 (2024) - [i26]Lingkai Kong, Molei Tao:
Convergence of Kinetic Langevin Monte Carlo on Lie groups. CoRR abs/2403.12012 (2024) - [i25]Yuchen Zhu, Tianrong Chen, Lingkai Kong, Evangelos A. Theodorou, Molei Tao:
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups. CoRR abs/2405.16381 (2024) - [i24]Lingkai Kong, Molei Tao:
Quantitative Convergences of Lie Group Momentum Optimizers. CoRR abs/2405.20390 (2024) - [i23]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 abs/2406.05954 (2024) - [i22]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 abs/2406.08627 (2024) - [i21]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 abs/2406.09130 (2024) - [i20]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 abs/2406.16976 (2024) - [i19]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting. CoRR abs/2407.02641 (2024) - [i18]Shresth Verma, Niclas Boehmer, Lingkai Kong, Milind Tambe:
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards. CoRR abs/2408.12112 (2024) - [i17]Chen Chen, Lingkai Kong, Gongjie Li, Molei Tao:
DeepTTV: Deep Learning Prediction of Hidden Exoplanet From Transit Timing Variations. CoRR abs/2409.04557 (2024) - [i16]Paula Rodriguez Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe:
What is the Right Notion of Distance between Predict-then-Optimize Tasks? CoRR abs/2409.06997 (2024) - 2023
- [j8]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): 508-522 (2023) - [c24]Lingkai Kong, Yuqing Wang, Molei Tao:
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport. ICLR 2023 - [c23]Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang:
Autoregressive Diffusion Model for Graph Generation. ICML 2023: 17391-17408 - [c22]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: 1057-1072 - [c21]Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang:
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. KDD 2023: 3674-3686 - [c20]Lingkai Kong, Harshavardhan Kamarthi, Peng Chen, B. Aditya Prakash, Chao Zhang:
Uncertainty Quantification in Deep Learning. KDD 2023: 5809-5810 - [c19]Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang:
AdaPlanner: Adaptive Planning from Feedback with Language Models. NeurIPS 2023 - [i15]Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang:
AdaPlanner: Adaptive Planning from Feedback with Language Models. CoRR abs/2305.16653 (2023) - [i14]Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang:
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. CoRR abs/2305.19395 (2023) - [i13]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 abs/2306.10060 (2023) - [i12]Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang:
Autoregressive Diffusion Model for Graph Generation. CoRR abs/2307.08849 (2023) - [i11]Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang:
DF2: Distribution-Free Decision-Focused Learning. CoRR abs/2308.05889 (2023) - 2022
- [j7]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): 1273-1294 (2022) - [j6]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): 1135-1145 (2022) - [c18]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: 1422-1436 - [c17]Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang:
End-to-end Stochastic Optimization with Energy-based Model. NeurIPS 2022 - [c16]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. WWW 2022: 3174-3185 - [i10]Lingkai Kong, Yuqing Wang, Molei Tao:
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport. CoRR abs/2205.14173 (2022) - [i9]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
PROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series. CoRR abs/2206.07940 (2022) - [i8]Lingkai Kong, Jiaming Cui, Yuchen Zhuang, Rui Feng, B. Aditya Prakash, Chao Zhang:
End-to-End Stochastic Optimization with Energy-Based Model. CoRR abs/2211.13837 (2022) - 2021
- [j5]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: 142289-142301 (2021) - [c15]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. NeurIPS 2021: 19796-19807 - [i7]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. CoRR abs/2106.03904 (2021) - [i6]Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash:
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. CoRR abs/2109.07438 (2021) - [i5]Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang:
ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification. CoRR abs/2112.08787 (2021) - 2020
- [c14]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: 1326-1340 - [c13]Lingkai Kong, Jimeng Sun, Chao Zhang:
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates. ICML 2020: 5405-5415 - [c12]Lingkai Kong, Molei Tao:
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function. NeurIPS 2020 - [i4]Lingkai Kong, Molei Tao:
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function. CoRR abs/2002.06189 (2020) - [i3]Lingkai Kong, Jimeng Sun, Chao Zhang:
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates. CoRR abs/2008.10546 (2020) - [i2]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 abs/2010.11506 (2020)
2010 – 2019
- 2018
- [c11]Liang Wu, Lingkai Kong, Zaichen Zhang, Jian Dang, Huaping Liu:
Wide-range Dimmable Clipped Flip-OFDM For Indoor Visible Light Communications. ICCC 2018: 121-125 - [c10]Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha:
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. UAI 2018: 83-92 - [i1]Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha:
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. CoRR abs/1807.08237 (2018) - 2016
- [c9]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: 393-402 - 2014
- [c8]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: 345-348 - 2013
- [j4]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): 3160-3177 (2013) - [c7]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: 74-81 - [c6]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: 234-235 - [c5]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: 330-331 - 2012
- [j3]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): 952-968 (2012) - [c4]Lingkai Kong, Elad Alon:
A 21.5mW 10+Gb/s mm-Wave phased-array transmitter in 65nm CMOS. VLSIC 2012: 52-53 - 2011
- [j2]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): 3018-3032 (2011) - [c3]Lingkai Kong, Yue Lu, Elad Alon:
A multi-GHz area-efficient comparator with dynamic offset cancellation. CICC 2011: 1-4 - [c2]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: 166-168
2000 – 2009
- 2009
- [j1]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): 3434-3447 (2009) - [c1]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: 314-315
Coauthor Index
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