Lingkai Kong

17 papers at tracked venues · 11 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

NeurIPS ×4 ICML ×3 UAI ×3 AAAI ×2 AISTATS ×2 ICLR ×2 COLT ×1

Frequent coauthors

Chao Zhang

×8

Milind Tambe

×6

Haorui Wang

×5

Wenhao Mu

×4

Yuchen Zhuang

×4

Yuanqi Du

×4

Haichuan Wang

×3

B. Aditya Prakash

×3

Molei Tao

×3

Tonghan Wang

×2

Jiaming Cui

×2

Kirill Neklyudov

×2

Papers

Generative AI Against Poaching: Latent Composite Flow Matching for Poaching Prediction
AAAI 2026 · Lingkai Kong,
Haichuan Wang
,
Charles A. Emogor
,
Vincent Börsch-Supan
,
Lily Xu
,
Milind Tambe
Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data
NeurIPS 2025 · Lingkai Kong,
Haichuan Wang
,
Tonghan Wang
,
Guojun Xiong
,
Milind Tambe
DF2: Distribution-Free Decision-Focused Learning
UAI 2025 · Lingkai Kong,
Wenhao Mu
,
Jiaming Cui
,
Yuchen Zhuang
,
B. Aditya Prakash
,
Bo Dai
,
Chao Zhang
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints
AISTATS 2025 · 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
Efficient Evolutionary Search Over Chemical Space with Large Language Models
ICLR 2025 ·
Haorui Wang
,
Marta Skreta
,
Cher Tian Ser
,
Wenhao Gao
, Lingkai Kong,
Felix Strieth-Kalthoff
,
Chenru Duan
,
Yuchen Zhuang
,
Yue Yu
,
Yanqiao Zhu
,
Yuanqi Du
,
Alán Aspuru-Guzik
,
Kirill Neklyudov
,
Chao Zhang
LLM-Augmented Chemical Synthesis and Design Decision Programs
ICML 2025 ·
Haorui Wang
,
Jeff Guo
, Lingkai Kong,
Rampi Ramprasad
,
Philippe Schwaller
,
Yuanqi Du
,
Chao Zhang
Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning
ICML 2025 ·
Cheol Woo Kim
,
Jai Moondra
,
Shresth Verma
,
Madeleine Pollack
, Lingkai Kong,
Milind Tambe
,
Swati Gupta
PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning
AAAI 2025 ·
Shresth Verma
,
Alayna Nguyen
,
Niclas Boehmer
, Lingkai Kong,
Milind Tambe
Robust Optimization with Diffusion Models for Green Security
UAI 2025 · Lingkai Kong,
Haichuan Wang
,
Yuqi Pan
,
Cheol Woo Kim
,
Mingxiao Song
,
Alayna Nguyen
,
Tonghan Wang
,
Haifeng Xu
,
Milind Tambe
Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
ICLR 2025 ·
Yuchen Zhu
,
Tianrong Chen
, Lingkai Kong,
Evangelos A. Theodorou
,
Molei Tao
What is the Right Notion of Distance between Predict-then-Optimize Tasks?
UAI 2025 ·
Paula Rodriguez Diaz
, Lingkai Kong,
Kai Wang
,
David Alvarez-Melis
,
Milind Tambe
Aligning Large Language Models with Representation Editing: A Control Perspective
NeurIPS 2024 · Lingkai Kong,
Haorui Wang
,
Wenhao Mu
,
Yuanqi Du
,
Yuchen Zhuang
,
Yifei Zhou
,
Yue Song
,
Rongzhi Zhang
,
Kai Wang
,
Chao Zhang
Convergence of Kinetic Langevin Monte Carlo on Lie groups
COLT 2024 · Lingkai Kong,
Molei Tao
Quantitative Convergences of Lie Group Momentum Optimizers
NeurIPS 2024 · Lingkai Kong,
Molei Tao
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
NeurIPS 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-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
ICML 2024 ·
Haoxin Liu
,
Harshavardhan Kamarthi
, Lingkai Kong,
Zhiyuan Zhao
,
Chao Zhang
,
B. Aditya Prakash
Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process
AISTATS 2024 · Lingkai Kong,
Haotian Sun
,
Yuchen Zhuang
,
Haorui Wang
,
Wenhao Mu
,
Chao Zhang