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Jianguo Zhang

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

Achievements

πŸƒ Academic Marathon (10) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (8) 🧭 Keyword Pioneer 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)

Top co-authors

Caiming Xiong (18) Huan Wang (13) Zhiwei Liu (13) Shelby Heinecke (12) Silvio Savarese (12) Weiran Yao (9) Wenjian Huang (9) ZUXIN LIU (9) Juntao Tan (8) Juan Carlos Niebles (8)

Keywords

reinforcement learning (3) image classification (3) large language model (3) domain generalization (3) feature alignment (3) agent system (3) llm agent (3) unsupervised learning (2) contrastive learning (2) spiking neural network (2) few-shot learning (2) action recognition (2) intent classification (2) task-oriented dialogue (2) synthetic data generation (2) text generation (2) semantic segmentation (2) multimodal learning (2) attention mechanism (2) knowledge distillation (2)

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