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Daochen Zha

23 papers · 2019–2026 · 7 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.

Achievements

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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (47) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Grand Slam 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) 🀝 Dynamic Duo (15) 🌈 Renaissance Researcher (7) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (105)

Venues

NeurIPS (8) IJCAI (7) ICML (3) ICLR (2) AAAI (1) ACL (1) CVPR (1)

Top co-authors

Xia Hu (15) Xiao Huang (8) Kaixiong Zhou (7) Kwei-Herng Lai (6) Zirui Liu (4) Vipin Chaudhary (3) Qiaoyu Tan (3) Junnan Dong (3) Qinggang Zhang (3) Shuai Xu (3)

Research topics

Machine Learning (18) Deep Learning (10) Artificial Intelligence (8) Core AI (7) Core Methods (7) Optimization & Theory (7) Reinforcement Learning (6) Application Areas (6) Architectures (6) Learning Types Β· Deep Learning (5) Learning Types Β· Machine Learning (5) Natural Language Processing (4) Methods (4) Applications Β· Natural Language Processing (3) Applications Β· Reinforcement Learning (3)

Keywords

graph neural network (6) reinforcement learning (5) large language model (4) knowledge graph (3) benchmark evaluation (2) sparse reward (2) card game (2) monte carlo method (2) automated machine learning (2) continuous control (2) deep reinforcement learning (2) imperfect information game (2) graph classification (1) matrix factorization (1) anomaly detection (1) imitation learning (1) contrastive learning (1) model compression (1) action recognition (1) knowledge editing (1)

Papers

GraphVLM: Benchmarking Vision Language Models for Multimodal Graph Learning CVPR 2026 MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations ICLR 2025 Cost-efficient Knowledge-based Question Answering with Large Language Models NeurIPS 2024 Denoising-Aware Contrastive Learning for Noisy Time Series IJCAI 2024 Enhanced DouDiZhu Card Game Strategy Using Oracle Guiding and Adaptive Deep Monte Carlo Method IJCAI 2024 KnowGPT: Knowledge Graph based Prompting for Large Language Models NeurIPS 2024 Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering ACL 2024 One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning NeurIPS 2023 OpenGSL: A Comprehensive Benchmark for Graph Structure Learning NeurIPS 2023 RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations ICML 2023 SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems ICML 2023 Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model NeurIPS 2023 AutoVideo: An Automated Video Action Recognition System IJCAI 2022 DreamShard: Generalizable Embedding Table Placement for Recommender Systems NeurIPS 2022 Dirichlet Energy Constrained Learning for Deep Graph Neural Networks NeurIPS 2021 DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning ICML 2021 Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments ICLR 2021 TODS: An Automated Time Series Outlier Detection System AAAI 2021 Dual Policy Distillation IJCAI 2020 Multi-Channel Graph Neural Networks IJCAI 2020 RLCard: A Platform for Reinforcement Learning in Card Games IJCAI 2020 Towards Deeper Graph Neural Networks with Differentiable Group Normalization NeurIPS 2020 Experience Replay Optimization IJCAI 2019