Pan Zhou

112 papers · 2017–2026 · 17 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (10) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (16) 🏃 Academic Marathon (8) 🏠 Conference Loyalist (21) 🔬 Deep Specialist (19) 🏆 Grand Slam 🤝 Dynamic Duo (26) 👥 Mega-Team (20) 👑 Triple Crown 🏆 Keyword Champion 🗃️ Keyword Collector (405) ❓ The Questioner (4) ⚡ Prolific Year (6) 🚀 Conference Pioneer 💎 Century Club (108) 🔥 Unstoppable (9)

Conferences

AAAI (21) CVPR (19) NIPS (16) ICLR (10) EMNLP (10) ICML (7) ICCV (7) ECCV (7) ACL (5) COLING (2) IJCAI (2) EACL (1) AISTATS (1) INTERSPEECH (1) JMLR (1) NAACL (1) UAI (1)

Top co-authors

Daizong Liu (26) Shuicheng Yan (17) Xiaoye Qu (14) Jiashi Feng (13) Yu Cheng (13) Lichao Sun (11) Yao Wan (9) Xiang Fang (9) Jianfeng Dong (7) Keke Tang (7)

Research topics

Keywords

video understanding (11) large language model (10) temporal sentence grounding (8) adversarial attack (8) adversarial learning (7) cross-modal learning (6) diffusion model (6) multimodal learning (6) unsupervised learning (5) graph neural network (5) backdoor attack (5) few-shot learning (5) semantic segmentation (4) vision transformer (4) image classification (4) stochastic gradient (3) object detection (3) stochastic gradient descent (3) convergence analysis (3) contrastive learning (3)

Papers

DRFGD: Disentangled Representation-Focused Generative Defense for Attack-Tolerant Cross-Modal Hashing AAAI 2026

Revisiting the Canonicalization for Fast and Accurate Crystal Tensor Property Prediction AAAI 2026

CrowdSelect: SyntheticInstruction Data Selection with Multi-LLM Wisdom EACL 2026

ReAlign: Text-to-Motion Generation via Step-Aware Reward-Guided Alignment AAAI 2026

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models ACL 2025

GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding ICLR 2025

Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment ICLR 2025

Multi-Pair Temporal Sentence Grounding via Multi-Thread Knowledge Transfer Network AAAI 2025

Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial Resilience AAAI 2025

Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning Attacks AAAI 2025

Stealing Training Data from Large Language Models in Decentralized Training through Activation Inversion Attack ACL 2025

HPS: Hard Preference Sampling for Human Preference Alignment ICML 2025

Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation ICCV 2025

Memory-Efficient 4-bit Preconditioned Stochastic Optimization ICCV 2025

Zeroth-Order Fine-Tuning of LLMs in Random Subspaces ICCV 2025

Misalignment Attack on Text-to-Image Models via Text Embedding Optimization and Inversion EMNLP 2025

Merger-as-a-Stealer: Stealing Targeted PII from Aligned LLMs with Model Merging EMNLP 2025

Learning from Few Samples: A Novel Approach for High-Quality Malcode Generation EMNLP 2025

BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models CVPR 2025

The Impact of Large Language Models in Academia: from Writing to Speaking ACL 2025

Collaborative Tree Search for Enhancing Embodied Multi-Agent Collaboration CVPR 2025

Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes ICML 2025

Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning ICLR 2025

CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation ICLR 2025

Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation AAAI 2024

MVGamba: Unify 3D Content Generation as State Space Sequence Modeling NIPS 2024

Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models NIPS 2024

Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation NIPS 2024

LOVA3: Learning to Visual Question Answering, Asking and Assessment NIPS 2024

4-bit Shampoo for Memory-Efficient Network Training NIPS 2024

Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language AAAI 2024

Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization AAAI 2024

Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds AAAI 2024

Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks AAAI 2024

What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception AAAI 2024

Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning? ACL 2024

MoExtend: Tuning New Experts for Modality and Task Extension ACL 2024

Towards Robust Temporal Activity Localization Learning with Noisy Labels COLING 2024

Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation CVPR 2024

Friendly Sharpness-Aware Minimization CVPR 2024

Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior CVPR 2024

Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World CVPR 2024

MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning CVPR 2024

Few-shot Learner Parameterization by Diffusion Time-steps CVPR 2024

InceptionNeXt: When Inception Meets ConvNeXt CVPR 2024

Diffusion Time-step Curriculum for One Image to 3D Generation CVPR 2024

Efficient Cascaded Multiscale Adaptive Network for Image Restoration ECCV 2024

GENIXER: Empowering Multimodal Large Language Models as a Powerful Data Generator ECCV 2024

Hiding Imperceptible Noise in Curvature-Aware Patches for 3D Point Cloud Attack ECCV 2024

Rethinking Weakly-supervised Video Temporal Grounding From a Game Perspective ECCV 2024

CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code EMNLP 2024

Virtual Context Enhancing Jailbreak Attacks with Special Token Injection EMNLP 2024

MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use ICLR 2024

MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark ICML 2024

Position: Exploring the Robustness of Pipeline-Parallelism-Based Decentralized Training ICML 2024

Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training JMLR 2024

Hypotheses Tree Building for One-Shot Temporal Sentence Localization AAAI 2023

You Can Ground Earlier Than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos CVPR 2023

Position-Guided Text Prompt for Vision-Language Pre-Training CVPR 2023

Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding EMNLP 2023

Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble AAAI 2023

ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection NIPS 2023

Masked Diffusion Transformer is a Strong Image Synthesizer ICCV 2023

Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks ICLR 2023

LPT: Long-tailed Prompt Tuning for Image Classification ICLR 2023

STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition ICCV 2023

Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms ICLR 2023

3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack ICCV 2023

You Are Catching My Attention: Are Vision Transformers Bad Learners Under Backdoor Attacks? CVPR 2023

Inception Transformer NIPS 2022

Video Graph Transformer for Video Question Answering ECCV 2022

Bandits for Structure Perturbation-Based Black-Box Attacks To Graph Neural Networks With Theoretical Guarantees CVPR 2022

MetaFormer Is Actually What You Need for Vision CVPR 2022

Unsupervised Temporal Video Grounding with Deep Semantic Clustering AAAI 2022

Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding EMNLP 2022

Self-Promoted Supervision for Few-Shot Transformer ECCV 2022

Exploring Motion and Appearance Information for Temporal Sentence Grounding AAAI 2022

Memory-Guided Semantic Learning Network for Temporal Sentence Grounding AAAI 2022

DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition ECCV 2022

Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond NIPS 2021

A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning NIPS 2021

Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos EMNLP 2021

Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding EMNLP 2021

Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition EMNLP 2021

Task similarity aware meta learning: theory-inspired improvement on MAML UAI 2021

Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition AAAI 2021

Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation AAAI 2021

F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation AAAI 2021

Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation AAAI 2021

Prototypical Contrastive Learning of Unsupervised Representations ICLR 2021

Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding CVPR 2021

TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness NIPS 2021

How Important is the Train-Validation Split in Meta-Learning? ICML 2021

Improving GAN Training with Probability Ratio Clipping and Sample Reweighting NIPS 2020

Reasoning Step-by-Step: Temporal Sentence Localization in Videos via Deep Rectification-Modulation Network COLING 2020

Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization ICML 2020

Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning NIPS 2020

Theory-Inspired Path-Regularized Differential Network Architecture Search NIPS 2020

Generating Robust Audio Adversarial Examples with Temporal Dependency IJCAI 2020

Adversarial Category Alignment Network for Cross-domain Sentiment Classification NAACL 2019

Efficient Meta Learning via Minibatch Proximal Update NIPS 2019

Generalized Majorization-Minimization for Non-Convex Optimization IJCAI 2019

MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation CVPR 2019

Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds AISTATS 2019

An Online Attention-Based Model for Speech Recognition INTERSPEECH 2019

New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity NIPS 2018

Deep Adversarial Subspace Clustering CVPR 2018

Efficient Stochastic Gradient Hard Thresholding NIPS 2018

Understanding Generalization and Optimization Performance of Deep CNNs ICML 2018

Empirical Risk Landscape Analysis for Understanding Deep Neural Networks ICLR 2018

Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-Identification ICCV 2017

Outlier-Robust Tensor PCA CVPR 2017