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Jianguo Zhang

50 papers · 2015–2026 · 15 conferences · across top CS/AI conferences

Achievements

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+15 more ↓ 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (15) πŸƒ Academic Marathon (10) πŸ—ΊοΈ Taxonomy Completionist (102)
πŸ—ΊοΈ Taxonomy Completionist (102) 🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (15) πŸ‘₯ Mega-Team (49) πŸ‘‘ Triple Crown πŸ† Grand Slam 🀝 Dynamic Duo (18) πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter πŸ’Ž Century Club (49) ❓ The Questioner (2) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (233) ⚑ Prolific Year (9) πŸ”₯ Unstoppable (9)

Conferences

CVPR (9) EMNLP (8) AAAI (5) ACL (4) ICCV (4) NIPS (4) ICLR (3) ICML (3) EACL (2) ECCV (2) NAACL (2) COLING (1) CONLL (1) IJCAI (1) MIDL (1)

Papers

TripleFDS: Triple Feature Disentanglement and Synthesis for Scene Text Editing AAAI 2026 Unsupervised Part Discovery via Descriptor-Based Masked Image Restoration with Optimized Constraints ICCV 2025 ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations ICCV 2025 MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models EMNLP 2025 SlackAgents: Scalable Collaboration of AI Agents in Workspaces EMNLP 2025 Enhancing Low-Light Images: A Synthetic Data Perspective on Practical and Generalizable Solutions AAAI 2025 SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models AAAI 2025 ActionStudio: A Lightweight Framework for Data and Training of Large Action Models EMNLP 2025 PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data ACL 2025 LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback ACL 2025 xLAM: A Family of Large Action Models to Empower AI Agent Systems NAACL 2025 Learning to Quantize for Training Vector-Quantized Networks ICML 2025 Open-Det: An Efficient Learning Framework for Open-Ended Detection ICML 2025 Bridging the Data Provenance Gap Across Text, Speech, and Video ICLR 2025 LATTE: Learning to Think with Vision Specialists EMNLP 2025 Consent in Crisis: The Rapid Decline of the AI Data Commons NIPS 2024 PRACT: Optimizing Principled Reasoning and Acting of LLM Agent EMNLP 2024 Gradient-Guided Modality Decoupling for Missing-Modality Robustness AAAI 2024 APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets NIPS 2024 Using Left and Right Brains Together: Towards Vision and Language Planning ICML 2024 DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI EACL 2024 Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization ICLR 2024 PRACT: Optimizing Principled Reasoning and Acting of LLM Agent CONLL 2024 MLP-DINO: Category Modeling and Query Graphing with Deep MLP for Object Detection IJCAI 2024 Strip-MLP: Efficient Token Interaction for Vision MLP ICCV 2023 Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation AAAI 2023 Feature Alignment and Uniformity for Test Time Adaptation CVPR 2023 Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems ICLR 2023 Cross Contrasting Feature Perturbation for Domain Generalization ICCV 2023 Density-driven Regularization for Out-of-distribution Detection NIPS 2022 Differentiable hierarchical and surrogate gradient search for spiking neural networks NIPS 2022 Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection ACL 2022 Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning CVPR 2022 Discrete Time Convolution for Fast Event-Based Stereo CVPR 2022 TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning ECCV 2022 Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation EACL 2021 Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction From Raw Point Clouds CVPR 2021 HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization EMNLP 2021 Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning EMNLP 2021 MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines ACL 2020 Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference EMNLP 2020 TEA: Temporal Excitation and Aggregation for Action Recognition CVPR 2020 Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking COLING 2020 CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data MIDL 2019 Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce NAACL 2019 Progressive Teacher-Student Learning for Early Action Prediction CVPR 2019 Discriminative Learning of Latent Features for Zero-Shot Recognition CVPR 2018 Deep Bilinear Learning for RGB-D Action Recognition ECCV 2018 Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-Identification CVPR 2017 Jointly Learning Heterogeneous Features for RGB-D Activity Recognition CVPR 2015