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Dong Huang

33 papers · 2014–2026 · 12 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ πŸƒ Academic Marathon (11) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) 🐣 Hot Topic Early Bird
πŸ—ΊοΈ Taxonomy Completionist (75) 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (11) 🧬 Topic Evolution πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (146) πŸš€ Conference Pioneer πŸ’Ž Century Club (31) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter ⚑ Prolific Year (5)

Conferences

CVPR (9) AAAI (4) ICCV (4) ACL (3) ICML (3) NIPS (3) WACV (2) COLT (1) ECCV (1) EMNLP (1) ICLR (1) IJCAI (1)

Top co-authors

Yuhao Qing (5) Zeyi Huang (5) Heming Cui (5) Jie M. Zhang (4) Junwei Han (3) Han Weng (3) Fernando De la Torre (3) Dingwen Zhang (3) Eric P. Xing (3) Wei Ke (2)

Keywords

large language model (5) code generation (4) model compression (4) video understanding (3) attention mechanism (3) mixture of regression (2) weight quantization (2) code optimization (2) convolutional neural network (2) execution time (2) heterogeneous datum (2) image classification (2) feature learning (2) 3d reconstruction (2) zero-shot learning (2) action recognition (2) object detection (2) adversarial training (2) pose estimation (2) memory usage (2)

Papers

DSCodeBench: A Realistic Benchmark for Data Science Code Generation AAAI 2026 TRACE: Evaluating Execution Efficiency of LLM-Based Code Translation ACL 2026 Sample Complexity of Correlation Detection in the Gaussian Wigner Model ICML 2025 Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment AAAI 2025 FoldMoE: Efficient Long Sequence MoE Training via Attention-MoE Pipelining ACL 2025 Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward EMNLP 2025 CodeArena: A Collective Evaluation Platform for LLM Code Generation ACL 2025 EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning ICML 2025 EffiBench: Benchmarking the Efficiency of Automatically Generated Code NIPS 2024 EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization NIPS 2024 Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs COLT 2024 Physical-Space Multi-Body Mesh Detection Achieved by Local Alignment and Global Dense Learning WACV 2024 Adversarial Feature Map Pruning for Backdoor ICLR 2024 Towards Building More Robust Models with Frequency Bias ICCV 2023 Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos ICCV 2023 Zero-Shot Model Diagnosis CVPR 2023 Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation CVPR 2022 The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization CVPR 2022 Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs CVPR 2021 Large Norms of CNN Layers Do Not Hurt Adversarial Robustness AAAI 2021 How Do Adam and Training Strategies Help BNNs Optimization ICML 2021 Elaborative Rehearsal for Zero-Shot Action Recognition ICCV 2021 Multi-View Clustering in Latent Embedding Space AAAI 2020 Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection NIPS 2020 Multiple Anchor Learning for Visual Object Detection CVPR 2020 Improving Object Detection with Inverted Attention WACV 2020 Self-Challenging Improves Cross-Domain Generalization ECCV 2020 Person-in-WiFi: Fine-Grained Person Perception Using WiFi ICCV 2019 PoseFlow: A Deep Motion Representation for Understanding Human Behaviors in Videos CVPR 2018 Learning Category-Specific 3D Shape Models From Weakly Labeled 2D Images CVPR 2017 Self-paced Mixture of Regressions IJCAI 2017 Soft-Margin Mixture of Regressions CVPR 2017 Complex Non-Rigid Motion 3D Reconstruction by Union of Subspaces CVPR 2014