Chao Qu
23 papers · 2015–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Machine Learning
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large language model
(3)
convergence rate
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in-context learning
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depth completion
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stochastic optimization
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reinforcement learning
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instruction fine-tuning
(2)
graph neural network
(2)
self-supervised learning
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video classification
(1)
mathematical reasoning
(1)
symbolic reasoning
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non-convex optimization
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text classification
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bayesian inference
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contrastive learning
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deep learning
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decentralized optimization
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variational inference
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Papers
Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning
AAAI 2026
Equivariant Masked Position Prediction for Efficient Molecular Representation
ICLR 2025
MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models
MICCAI 2025
One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs
ICML 2025
Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support
MICCAI 2025
Refine Knowledge of Large Language Models via Adaptive Contrastive Learning
ICLR 2025
To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization
ACL 2025
Hybrid Directional Graph Neural Network for Molecules
ICLR 2024
LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints
ICLR 2024
ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average
EMNLP 2024
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes
AAAI 2023
Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification
ICCV 2023
PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching
EMNLP 2023
Provably Invariant Learning without Domain Information
ICML 2023
SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels
ACL 2023
Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness
EMNLP 2023
Bayesian Deep Basis Fitting for Depth Completion With Uncertainty
ICCV 2021
Depth Completion via Deep Basis Fitting
WACV 2020
Nonlinear Distributional Gradient Temporal-Difference Learning
ICML 2019
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning
NeurIPS 2019
Non-convex Conditional Gradient Sliding
ICML 2018
Fast Rate Analysis of Some Stochastic Optimization Algorithms
ICML 2016
Subspace Clustering with Irrelevant Features via Robust Dantzig Selector
NeurIPS 2015