Chen Zhu

42 papers · 2017–2026 · 11 conferences · across top CS/AI conferences

Achievements

+14 more ↓

🌍 Conference Polyglot (11) 🏃 Academic Marathon (8) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (12)

🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (9) 🗺️ Taxonomy Completionist (83) 🏆 Grand Slam 🧬 Topic Evolution 👑 Triple Crown 🤝 Dynamic Duo (14) ❓ The Questioner (3) 🗃️ Keyword Collector (175) ⚡ Prolific Year (9) 🚀 Conference Pioneer 📈 Trend Setter 💎 Century Club (41) 🔥 Unstoppable (9)

Conferences

NIPS (9) ICLR (7) ICML (5) AAAI (4) CVPR (3) EMNLP (3) ICCV (3) IJCAI (3) ACL (2) COLING (2) ECCV (1)

Top co-authors

Tom Goldstein (14) Hengshu Zhu (7) Hui Xiong (4) Tong Xu (3) Bryan Catanzaro (3) Mohammad Shoeybi (3) Kezhi Kong (3) Micah Goldblum (3) Enhong Chen (2) Yun He (2)

Keywords

image classification (3) large language model (3) convolutional neural network (3) neural network (2) node classification (2) graph neural network (2) adversarial training (2) data augmentation (2) multimodal learning (2) vision transformer (2) transfer learning (2) object detection (2) link prediction (2) variational inference (2) in-context learning (2) bayesian inference (2) video generation (2) attention mechanism (2) knowledge graph (2) data poisoning (1)

Papers

ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond Semantic Dependency Constraints AAAI 2026 Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback EMNLP 2025 Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization ICML 2025 KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph ACL 2025 T2A-Feedback: Improving Basic Capabilities of Text-to-Audio Generation via Fine-grained AI Feedback ACL 2025 EA-Vit: Efficient Adaptation for Elastic Vision Transformer ICCV 2025 VMBench: A Benchmark for Perception-Aligned Video Motion Generation ICCV 2025 Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding EMNLP 2024 From Technology to Market. Bilingual Corpus on the Evaluation of Technology Opportunity Discovery COLING 2024 MRT: Multi-modal Short- and Long-range Temporal Convolutional Network for Time-sync Comment Video Behavior Prediction COLING 2024 Retrieval meets Long Context Large Language Models ICLR 2024 Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks ICLR 2024 ODIN: Disentangled Reward Mitigates Hacking in RLHF ICML 2024 Mixture of In-Context Experts Enhance LLMs' Long Context Awareness NIPS 2024 OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation NIPS 2024 Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking NIPS 2024 On the Exploitability of Instruction Tuning NIPS 2023 Physics-Guided Human Motion Capture with Pose Probability Modeling IJCAI 2023 How Many Demonstrations Do You Need for In-context Learning? EMNLP 2023 Robust Optimization As Data Augmentation for Large-Scale Graphs CVPR 2022 Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors NIPS 2022 Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations ICML 2022 Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions ICLR 2022 Long-Short Transformer: Efficient Transformers for Language and Vision NIPS 2021 GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training NIPS 2021 The Intrinsic Dimension of Images and Its Impact on Learning ICLR 2021 Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks AAAI 2021 VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization NIPS 2021 Certified Defenses for Adversarial Patches ICLR 2020 SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback AAAI 2020 Learning From Noisy Anchors for One-Stage Object Detection CVPR 2020 Large-Scale Adversarial Training for Vision-and-Language Representation Learning NIPS 2020 FreeLB: Enhanced Adversarial Training for Natural Language Understanding ICLR 2020 Adversarially robust transfer learning ICLR 2020 Transferable Clean-Label Poisoning Attacks on Deep Neural Nets ICML 2019 Exploiting the Contagious Effect for Employee Turnover Prediction AAAI 2019 Fine-grained Video Categorization with Redundancy Reduction Attention ECCV 2018 Distortion-aware CNNs for Spherical Images IJCAI 2018 A Joint Learning Approach to Intelligent Job Interview Assessment IJCAI 2018 Learning Visual Knowledge Memory Networks for Visual Question Answering CVPR 2018 Compressing Neural Networks using the Variational Information Bottleneck ICML 2018 Structured Attentions for Visual Question Answering ICCV 2017