Chao Qu

23 papers · 2015–2026 · 9 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (10)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (10) 🤝 Dynamic Duo (11) 🏆 Grand Slam 🧬 Topic Evolution 🚀 Conference Pioneer ⚡ Prolific Year (6) 🗃️ Keyword Collector (81) ❓ The Questioner 💎 Century Club (22)

Conferences

ICML (5) ICLR (4) EMNLP (3) AAAI (2) ACL (2) ICCV (2) MICCAI (2) NIPS (2) WACV (1)

Top co-authors

Xiaoyu Tan (11) Yuan Qi (10) Xihe Qiu (6) Yinghui Xu (5) Huan Xu (5) Weidi Xu (4) Shaojie Shi (4) Wei Chu (4) Zhenting Qi (3) Xu Yinghui (3)

Keywords

reinforcement learning (2) depth completion (2) instruction fine-tuning (2) in-context learning (2) stochastic optimization (2) large language model (2) text classification (1) machine unlearning (1) bayesian inference (1) self-supervised learning (1) video classification (1) domain generalization (1) deep learning (1) out-of-distribution generalization (1) reinforcement learning from human feedback (1) mathematical reasoning (1) eye tracking (1) markov decision process (1) bellman equation (1) distributional reinforcement learning (1)

Papers

Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning AAAI 2026 Refine Knowledge of Large Language Models via Adaptive Contrastive Learning ICLR 2025 Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support MICCAI 2025 MVP-LLMs: Optimizing Intervention Timing and Subsequent Decision Support for Mechanical Ventilation Parameter Control Using Large Language Models MICCAI 2025 To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization ACL 2025 One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs ICML 2025 Equivariant Masked Position Prediction for Efficient Molecular Representation ICLR 2025 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 Hybrid Directional Graph Neural Network for Molecules ICLR 2024 PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching EMNLP 2023 SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels ACL 2023 Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification ICCV 2023 Provably Invariant Learning without Domain Information ICML 2023 Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness EMNLP 2023 Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes AAAI 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 NIPS 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 NIPS 2015