Chong Liu
18 papers · 2020–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (7)
🌈
Renaissance Researcher
(6)
🌍
Conference Polyglot
(10)
🏃
Academic Marathon
(5)
🏆
Grand Slam
🗃️
Keyword Collector
(61)
📈
Trend Setter
💎
Century Club
(15)
❓
The Questioner
Conferences
AAAI (4)
AISTATS (2)
ICLR (2)
NIPS (2)
UAI (2)
ACL (1)
CVPR (1)
ICCV (1)
ICML (1)
JMLR (1)
WACV (1)
Top co-authors
Keywords
regret bound
(3)
active learning
(3)
differential privacy
(2)
domain adaptation
(2)
stochastic process
(2)
function approximation
(2)
generative adversarial network
(2)
kernel methods
(2)
black-box optimization
(1)
style transfer
(1)
domain generalization
(1)
uncertainty quantification
(1)
data augmentation
(1)
person re-identification
(1)
causal discovery
(1)
vision-language navigation
(1)
task-oriented dialogue
(1)
image translation
(1)
narrative understanding
(1)
agent navigation
(1)
Papers
LitVISTA: A Benchmark for Narrative Orchestration in Literary Text
ACL 2026
De-biased Natural Language Egocentric Task Verification via Prototypical Evidence Learning
AAAI 2026
Quantum Non-Linear Bandit Optimization
AAAI 2026
Rational Decision-Making Agent with Learning Internal Utility Judgment
ICLR 2025
Black-Box Optimization with Implicit Constraints for Public Policy
AAAI 2025
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
AISTATS 2025
Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?
UAI 2025
High Rank Path Development: an approach to learning the filtration of stochastic processes
NIPS 2024
Communication-Efficient Federated Non-Linear Bandit Optimization
ICLR 2024
Human-in-the-Loop Video Semantic Segmentation Auto-Annotation
WACV 2023
Global Optimization with Parametric Function Approximation
ICML 2023
Dialogue State Distillation Network with Inter-slot Contrastive Learning for Dialogue State Tracking
AAAI 2023
No-Regret Linear Bandits beyond Realizability
UAI 2023
Vision-Language Navigation With Random Environmental Mixup
ICCV 2021
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes
NIPS 2021
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning
JMLR 2021
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning
AISTATS 2021
Unity Style Transfer for Person Re-Identification
CVPR 2020