A 90nm CMOS low-power 60GHz transceiver with integrated baseband circuitry. - Cristian Marcu; Debopriyo Chowdhury; Chintan Thakkar; Lingkai Kong; Maryam Tabesh; Jung-Dong Park; Yanjie Wang; Bagher Afshar; Abhinav Gupta 001; Amin Arbabian; Simone Gambini; Reza Zamani; et al. (ISSCC, 2009)

A 90 nm CMOS Low-Power 60 GHz Transceiver With Integrated Baseband Circuitry. - Cristian Marcu; Debopriyo Chowdhury; Chintan Thakkar; Jung-Dong Park; Lingkai Kong; Maryam Tabesh; Yanjie Wang; Bagher Afshar; Abhinav Gupta 001; Amin Arbabian; Simone Gambini; Reza Zamani; et al. (IEEE J. Solid State Circuits, 2009)

A multi-GHz area-efficient comparator with dynamic offset cancellation. - Lingkai Kong; Yue Lu 007; Elad Alon (CICC, 2011)

A 65nm CMOS 4-element Sub-34mW/element 60GHz phased-array transceiver. - Maryam Tabesh; Jiashu Chen; Cristian Marcu; Lingkai Kong; Shinwon Kang; Elad Alon; Ali M. Niknejad (ISSCC, 2011)

A 65 nm CMOS 4-Element Sub-34 mW/Element 60 GHz Phased-Array Transceiver. - Maryam Tabesh; Jiashu Chen; Cristian Marcu; Lingkai Kong; Shinwon Kang; Ali M. Niknejad; Elad Alon (IEEE J. Solid State Circuits, 2011)

A 21.5mW 10+Gb/s mm-Wave phased-array transmitter in 65nm CMOS. - Lingkai Kong; Elad Alon (VLSIC, 2012)

A 10 Gb/s 45 mW Adaptive 60 GHz Baseband in 65 nm CMOS. - Chintan Thakkar; Lingkai Kong; Kwangmo Jung; Antoine Frappé; Elad Alon (IEEE J. Solid State Circuits, 2012)

BAG: a designer-oriented integrated framework for the development of AMS circuit generators. - John Crossley; Alberto Puggelli; Hanh-Phuc Le; B. Yang; R. Nancollas; Kwangmo Jung; Lingkai Kong; Nathan Narevsky; Yue Lu 007; Nicholas Sutardja; E. J. An; Alberto L. Sangiovanni-Vincentelli; et al. (ICCAD, 2013)

A 50mW-TX 65mW-RX 60GHz 4-element phased-array transceiver with integrated antennas in 65nm CMOS. - Lingkai Kong; Dongjin Seo; Elad Alon (ISSCC, 2013)

A digitally modulated 2.4GHz WLAN transmitter with integrated phase path and dynamic load modulation in 65nm CMOS. - Lu Ye; Jiashu Chen; Lingkai Kong; Philippe Cathelin; Elad Alon; Ali M. Niknejad (ISSCC, 2013)

Design Considerations for a Direct Digitally Modulated WLAN Transmitter With Integrated Phase Path and Dynamic Impedance Modulation. - Lu Ye; Jiashu Chen; Lingkai Kong; Elad Alon; Ali M. Niknejad (IEEE J. Solid State Circuits, 2013)

A frequency-reconfigurable multi-standard 65nm CMOS digital transmitter with LTCC interposers. - Nai-Chung Kuo; Bonjern Yang; Chaoying Wu; Lingkai Kong; Angie Wang; Michael Reiha; Elad Alon; Ali M. Niknejad; Borivoje Nikolic (A-SSCC, 2014)

A Novel OFDM Scheme for VLC Systems Under LED Nonlinear Constraints. - Lingkai Kong; Congcong Cao; Siyuan Zhang; Mengchao Li; Liang Wu 001; Zaichen Zhang; Jian Dang (ChinaCom (1), 2016)

Wide-range Dimmable Clipped Flip-OFDM For Indoor Visible Light Communications. - Liang Wu 001; Lingkai Kong; Zaichen Zhang; Jian Dang; Huaping Liu 002 (ICCC, 2018)

Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. - Yisen Wang 001; Bo Dai 001; Lingkai Kong; Sarah Monazam Erfani; James Bailey 001; Hongyuan Zha (UAI, 2018)

Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data. - Lingkai Kong; Haoming Jiang; Yuchen Zhuang; Jie Lyu 005; Tuo Zhao; Chao Zhang 014 (EMNLP (1), 2020)

SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates. - Lingkai Kong; Jimeng Sun 001; Chao Zhang 014 (ICML, 2020)

Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function. - Lingkai Kong; Molei Tao (NeurIPS, 2020)

When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting. - Harshavardhan Kamarthi; Lingkai Kong; Alexander Rodríguez; Chao Zhang 014; B. Aditya Prakash (NeurIPS, 2021)

Innovation Cooperation Network Evolution About Green Building Technology With Government Intervention: Based on Evolutionary Game Theory. - Yonghong Ma; Lingkai Kong; Xiaomeng Yang; Chaoran Lin (IEEE Access, 2021)

ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification. - Yue Yu 001; Lingkai Kong; Jieyu Zhang 001; Rongzhi Zhang; Chao Zhang 014 (CoRR, 2021)

AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models. - Yue Yu 001; Lingkai Kong; Jieyu Zhang 001; Rongzhi Zhang; Chao Zhang 014 (NAACL-HLT, 2022)

End-to-end Stochastic Optimization with Energy-based Model. - Lingkai Kong; Jiaming Cui; Yuchen Zhuang; Rui Feng; B. Aditya Prakash; Chao Zhang 014 (NeurIPS, 2022)

CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. - Harshavardhan Kamarthi; Lingkai Kong; Alexander Rodríguez; Chao Zhang 014; B. Aditya Prakash (WWW, 2022)

PROFHIT: Probabilistic Robust Forecasting for Hierarchical Time-series. - Harshavardhan Kamarthi; Lingkai Kong; Alexander Rodríguez; Chao Zhang 014; B. Aditya Prakash (CoRR, 2022)

Research on the formation mechanism of big data technology cooperation networks: empirical evidence from China. - Yonghong Ma; Xiaomeng Yang; Sen Qu; Lingkai Kong (Scientometrics, 2022)

Tracing the Evolution of 3-D Printing Technology in China Using LDA-Based Patent Abstract Mining. - Wei Chen; Chaoran Lin; Chuanyun Li; Lingkai Kong; Zaoli Yang (IEEE Trans. Engineering Management, 2022)

Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport. - Lingkai Kong; Yuqing Wang; Molei Tao (ICLR, 2023)

Autoregressive Diffusion Model for Graph Generation. - Lingkai Kong; Jiaming Cui; Haotian Sun; Yuchen Zhuang; B. Aditya Prakash; Chao Zhang 014 (ICML, 2023)

When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting. - Harshavardhan Kamarthi; Lingkai Kong; Alexander Rodríguez; Chao Zhang 014; B. Aditya Prakash (KDD, 2023)

Uncertainty Quantification in Deep Learning. - Lingkai Kong; Harshavardhan Kamarthi; Peng Chen 024; B. Aditya Prakash; Chao Zhang 014 (KDD, 2023)

DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. - Yuchen Zhuang; Yue Yu 001; Lingkai Kong; Xiang Chen; Chao Zhang 014 (KDD, 2023)

AdaPlanner: Adaptive Planning from Feedback with Language Models. - Haotian Sun; Yuchen Zhuang; Lingkai Kong; Bo Dai 001; Chao Zhang 014 (NeurIPS, 2023)

MUBen: Benchmarking the Uncertainty of Pre-Trained Models for Molecular Property Prediction. - Yinghao Li; Lingkai Kong; Yuanqi Du; Yue Yu 001; Yuchen Zhuang; Wenhao Mu; Chao Zhang 014 (CoRR, 2023)

DF2: Distribution-Free Decision-Focused Learning. - Lingkai Kong; Wenhao Mu; Jiaming Cui; Yuchen Zhuang; B. Aditya Prakash; Bo Dai 001; Chao Zhang 014 (CoRR, 2023)

Characteristics and driving factors of the technology cooperation network evolution: a case study of solid waste treatment field in China. - Yonghong Ma; Xiaomeng Yang; Sen Qu; Lingkai Kong (Technol. Anal. Strateg. Manag., 2023)

Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process. - Lingkai Kong; Haotian Sun; Yuchen Zhuang; Haorui Wang; Wenhao Mu; Chao Zhang 014 (AISTATS, 2024)

Convergence of Kinetic Langevin Monte Carlo on Lie groups. - Lingkai Kong; Molei Tao (COLT, 2024)

Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning. - Haoxin Liu 001; Harshavardhan Kamarthi; Lingkai Kong; Zhiyuan Zhao 002; Chao Zhang 014; B. Aditya Prakash (ICML, 2024)

Quantitative Convergences of Lie Group Momentum Optimizers. - Lingkai Kong; Molei Tao (NeurIPS, 2024)

Aligning Large Language Models with Representation Editing: A Control Perspective. - Lingkai Kong; Haorui Wang; Wenhao Mu; Yuanqi Du; Yuchen Zhuang; Yifei Zhou; Yue Song; Rongzhi Zhang; Kai Wang; Chao Zhang 014 (NeurIPS, 2024)

Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis. - Haoxin Liu 001; Shangqing Xu; Zhiyuan Zhao 002; Lingkai Kong; Harshavardhan Kamarthi; Aditya B. Sasanur; Megha Sharma; Jiaming Cui; Qingsong Wen; Chao Zhang 014; B. Aditya Prakash (NeurIPS, 2024)

TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance. - Haorui Wang; Rongzhi Zhang; Yinghao Li; Lingkai Kong; Yuchen Zhuang; Xiusi Chen; Chao Zhang 014 (CoRR, 2024)

Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis. - Haoxin Liu 001; Shangqing Xu; Zhiyuan Zhao 002; Lingkai Kong; Harshavardhan Kamarthi; Aditya B. Sasanur; Megha Sharma; Jiaming Cui; Qingsong Wen; Chao Zhang 014; B. Aditya Prakash (CoRR, 2024)

Efficient Evolutionary Search Over Chemical Space with Large Language Models. - Haorui Wang; Marta Skreta; Cher Tian Ser; Wenhao Gao 001; Lingkai Kong; Felix Streith-Kalthoff; Chenru Duan; Yuchen Zhuang; Yue Yu 001; Yanqiao Zhu 001; Yuanqi Du; Alán Aspuru-Guzik; et al. (CoRR, 2024)

Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting. - Harshavardhan Kamarthi; Lingkai Kong; Alexander Rodríguez; Chao Zhang 014; B. Aditya Prakash (CoRR, 2024)

Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards. - Shresth Verma; Niclas Boehmer; Lingkai Kong; Milind Tambe (CoRR, 2024)

DeepTTV: Deep Learning Prediction of Hidden Exoplanet From Transit Timing Variations. - Chen Chen; Lingkai Kong; Gongjie Li; Molei Tao (CoRR, 2024)

MUBen: Benchmarking the Uncertainty of Molecular Representation Models. - Yinghao Li; Lingkai Kong; Yuanqi Du; Yue Yu 001; Yuchen Zhuang; Wenhao Mu; Chao Zhang 014 (Trans. Mach. Learn. Res., 2024)

PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning. - Shresth Verma; Alayna Nguyen; Niclas Boehmer; Lingkai Kong; Milind Tambe (AAAI, 2025)

Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints. - Lingkai Kong; Yuanqi Du; Wenhao Mu; Kirill Neklyudov; Valentin De Bortoli; Dongxia Wu; Haorui Wang; Aaron M. Ferber; Yian Ma; Carla P. Gomes; Chao Zhang 014 (AISTATS, 2025)

Efficient Evolutionary Search Over Chemical Space with Large Language Models. - Haorui Wang; Marta Skreta; Cher Tian Ser; Wenhao Gao 001; Lingkai Kong; Felix Strieth-Kalthoff; Chenru Duan; Yuchen Zhuang; Yue Yu 001; Yanqiao Zhu 001; Yuanqi Du; Alán Aspuru-Guzik; et al. (ICLR, 2025)

Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups. - Yuchen Zhu; Tianrong Chen; Lingkai Kong; Evangelos A. Theodorou; Molei Tao (ICLR, 2025)

What is the Right Notion of Distance between Predict-then-Optimize Tasks? - Paula Rodriguez Diaz; Lingkai Kong; Kai Wang 040; David Alvarez-Melis; Milind Tambe (UAI, 2025)

DF2: Distribution-Free Decision-Focused Learning. - Lingkai Kong; Wenhao Mu; Jiaming Cui; Yuchen Zhuang; B. Aditya Prakash; Bo Dai 001; Chao Zhang 014 (UAI, 2025)

Robust Optimization with Diffusion Models for Green Security. - Lingkai Kong; Haichuan Wang; Yuqi Pan; Cheol Woo Kim; Mingxiao Song; Alayna Nguyen; Tonghan Wang 001; Haifeng Xu; Milind Tambe (UAI, 2025)

A medical assistant decision-making method based on interval belief rule base with explainability. - Lingkai Kong; Boying Zhao; Hongyu Li; Wei He 008; You Cao; Guohui Zhou (Intell. Data Anal., 2025)

Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning. - Cheol Woo Kim; Jai Moondra; Shresth Verma; Madeleine Pollack; Lingkai Kong; Milind Tambe; Swati Gupta 001 (CoRR, 2025)

LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused Evaluation. - Sarah Martinson; Lingkai Kong; Cheol Woo Kim; Aparna Taneja; Milind Tambe (CoRR, 2025)

LLM-Augmented Chemical Synthesis and Design Decision Programs. - Haorui Wang; Jeff Guo; Lingkai Kong; Rampi Ramprasad; Philippe Schwaller; Yuanqi Du; Chao Zhang 014 (CoRR, 2025)

Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data. - Lingkai Kong; Haichuan Wang; Tonghan Wang 001; Guojun Xiong; Milind Tambe (CoRR, 2025)

A Fault Diagnosis Method for Manufacturing System Based on Adaptive BRB Considering Environmental Disturbance. - Boying Zhao; Lingkai Kong; Wei He 008; Guohui Zhou; Hailong Zhu (Int. J. Fuzzy Syst., 2025)

Generative AI Against Poaching: Latent Composite Flow Matching for Wildlife Conservation. - Lingkai Kong; Haichuan Wang; Charles A. Emogor; Vincent Börsch-Supan; Lily Xu; Milind Tambe (CoRR, 2025)

Intern-S1: A Scientific Multimodal Foundation Model. - Lei Bai 001; Zhongrui Cai; Yuhang Cao; Maosong Cao; Weihan Cao; Chiyu Chen; Haojiong Chen; Kai Chen; Pengcheng Chen; Ying Chen; Yongkang Chen; Yu Cheng; et al. (CoRR, 2025)