← Authors

Zheng Zhang

209 papers · 2014–2026 · 21 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (10) πŸƒ Academic Marathon (12) 🌍 Conference Polyglot (20) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (27) 🌟 Keyword Trendsetter Combo (4) 🏠 Conference Loyalist (20) πŸ† Keyword Champion 🀝 Dynamic Duo (31) πŸ† Grand Slam πŸ‘₯ Mega-Team (22) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (21) 🧬 Topic Evolution πŸ“ˆ Trend Setter πŸ’Ž Century Club (199) πŸ—ƒοΈ Keyword Collector (73) ❓ The Questioner (3) πŸš€ Conference Pioneer ⚑ Prolific Year (42) πŸ”₯ Unstoppable (13)

Conferences

AAAI (29) NIPS (27) EMNLP (25) ACL (24) CVPR (22) ICCV (19) ECCV (14) ICLR (12) IJCAI (9) COLING (5) ICML (5) NAACL (5) AISTATS (2) IJCNLP (2) JMLR (2) WACV (2) EACL (1) INTERSPEECH (1) MICCAI (1) AACL (1) UAI (1)

Top co-authors

Han Hu (31) Qipeng Guo (23) Yue Cao (20) Xipeng Qiu (17) Yue Zhang (17) Tong He (16) Xiangkun Hu (14) Tianjun Xiao (13) Qi Liu (12) Yutong Lin (12)

Research topics

Education (5) Privacy (1) Core AI (1)

Keywords

large language model (30) representation learning (19) object detection (14) graph neural network (13) contrastive learning (13) transfer learning (11) self-supervised learning (11) model compression (10) attention mechanism (9) data augmentation (9) semantic segmentation (9) vision transformer (8) reinforcement learning (7) masked image modeling (7) image classification (7) vision-language model (7) information retrieval (6) zero-shot learning (6) domain adaptation (6) unsupervised learning (5)

Papers

Themis: Automated Constraint-Aware Test Synthesis Framework for Code Reinforcement Learning AAAI 2026
Coverage-Constrained Human-AI Cooperation with Multiple Experts AAAI 2026
TDSS: Task Dynamic-Synergistic Skill Adaptation for Boosting Efficient and Scalable Multi-Task Learning in Dense Visual Prediction AAAI 2026
MoFu: Scale-Aware Modulation and Fourier Fusion for Multi-Subject Video Generation AAAI 2026
AutoPP: Towards Automated Product Poster Generation and Optimization AAAI 2026
FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression EACL 2026
AuthGuard: Generalizable Deepfake Detection via Language Guidance WACV 2026
Cross-modal Prompting for Balanced Incomplete Multi-modal Emotion Recognition AAAI 2026
SinBasis Networks: Matrix-Equivalent Feature Extraction for Wave-Like Optical Spectrograms AAAI 2026
FourierPET: Deep Fourier-based Unrolled Network for Low-count PET Reconstruction AAAI 2026
Bolster Hallucination Detection via Prompt-Guided Data Augmentation AAAI 2026
Wanda++: Pruning Large Language Models via Regional Gradients ACL 2025
Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning ACL 2025
GraphNarrator: Generating Textual Explanations for Graph Neural Networks ACL 2025
PQR: Improving Dense Retrieval via Potential Query Modeling ACL 2025
UniRAG: Unified Query Understanding Method for Retrieval Augmented Generation ACL 2025
PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarization ACL 2025
QA Analysis in Medical and Legal Domains: A Survey of Data Augmentation in Low-Resource Settings ACL 2025
DeepMIM: Deep Supervision for Masked Image Modeling WACV 2025
Causal Effect of Functional Treatment JMLR 2025
PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models IJCAI 2025
Connector-S: A Survey of Connectors in Multi-modal Large Language Models IJCAI 2025
CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models IJCAI 2025
Projection Pursuit Density Ratio Estimation ICML 2025
Bridging Information Asymmetry in Text-video Retrieval: A Data-centric Approach ICLR 2025
PolaFormer: Polarity-aware Linear Attention for Vision Transformers ICLR 2025
A Statistical Approach for Controlled Training Data Detection ICLR 2025
Residual Reweighted Conformal Prediction for Graph Neural Networks UAI 2025
GRAG: Graph Retrieval-Augmented Generation NAACL 2025
Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference AAAI 2025
OT-StainNet: Optimal Transport Driven Semantic Matching for Weakly Paired H&E-to-IHC Stain Transfer AAAI 2025
Transferable Adversarial Face Attack with Text Controlled Attribute AAAI 2025
Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship AAAI 2025
Intent Oriented Contrastive Learning for Sequential Recommendation AAAI 2025
Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems AAAI 2025
LEGEND: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets AAAI 2025
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking ICLR 2025
StableDepth: Scene-Consistent and Scale-Invariant Monocular Depth ICCV 2025
NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens ICLR 2025
Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models EMNLP 2025
Multi-Document Event Extraction Using Large and Small Language Models EMNLP 2025
MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models EMNLP 2025
QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models EMNLP 2025
CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation EMNLP 2025
A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation CVPR 2025
Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing CVPR 2025
Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models COLING 2025
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models ACL 2025
Learning to Select In-Context Demonstration Preferred by Large Language Model ACL 2025
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning EMNLP 2024
Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling NIPS 2024
Unified Lexical Representation for Interpretable Visual-Language Alignment NIPS 2024
One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos NIPS 2024
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation NIPS 2024
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs NIPS 2024
Can Language Models Learn to Skip Steps? NIPS 2024
Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation NIPS 2024
Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels NIPS 2024
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs NIPS 2024
Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation NIPS 2024
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization NIPS 2024
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms NIPS 2024
FlightBERT++: A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework AAAI 2024
Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives AAAI 2024
CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework AAAI 2024
BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials AAAI 2024
CariesXrays: Enhancing Caries Detection in Hospital-Scale Panoramic Dental X-rays via Feature Pyramid Contrastive Learning AAAI 2024
Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models ACL 2024
EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs COLING 2024
Adaptive Slot Attention: Object Discovery with Dynamic Slot Number CVPR 2024
Segment and Caption Anything CVPR 2024
InstructDiffusion: A Generalist Modeling Interface for Vision Tasks CVPR 2024
Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios CVPR 2024
Pixel-GS Density Control with Pixel-aware Gradient for 3D Gaussian Splatting ECCV 2024
Towards Reliable Advertising Image Generation Using Human Feedback ECCV 2024
PSALM: Pixelwise Segmentation with Large Multi-modal Model ECCV 2024
Norma: A Noise Robust Memory-Augmented Framework for Whole Slide Image Classification ECCV 2024
Learning to Complement and to Defer to Multiple Users ECCV 2024
Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models EMNLP 2024
Knowledge-Centric Hallucination Detection EMNLP 2024
ECON: On the Detection and Resolution of Evidence Conflicts EMNLP 2024
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging EMNLP 2024
Masked Structural Growth for 2x Faster Language Model Pre-training ICLR 2024
DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training ICLR 2024
Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View ICLR 2024
Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition ICML 2024
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms ICML 2024
GroupCover: A Secure, Efficient and Scalable Inference Framework for On-device Model Protection based on TEEs ICML 2024
Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing IJCAI 2024
Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning MICCAI 2024
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models NAACL 2024
Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts EMNLP 2023
StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding EMNLP 2023
Building Multi-domain Dialog State Trackers from Single-domain Dialogs EMNLP 2023
Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations EMNLP 2023
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format EMNLP 2023
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token ICCV 2023
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First NIPS 2023
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information NIPS 2023
Exploiting Abstract Meaning Representation for Open-Domain Question Answering ACL 2023
Unsupervised Deep Subgraph Anomaly Detection (Extended Abstract) IJCAI 2023
KPT: Keyword-Guided Pre-training for Grounded Dialog Generation AAAI 2023
Revealing the Dark Secrets of Masked Image Modeling CVPR 2023
DETR Does Not Need Multi-Scale or Locality Design ICCV 2023
Unsupervised Open-Vocabulary Object Localization in Videos ICCV 2023
Object-Centric Multiple Object Tracking ICCV 2023
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection ICCV 2023
Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation ICCV 2023
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual Recognition CVPR 2023
Quantization-aware and Tensor-compressed Training of Transformers for Natural Language Understanding INTERSPEECH 2023
On Data Scaling in Masked Image Modeling CVPR 2023
Bridging the Gap to Real-World Object-Centric Learning ICLR 2023
Side Adapter Network for Open-Vocabulary Semantic Segmentation CVPR 2023
Coarse-to-Fine Amodal Segmentation with Shape Prior ICCV 2023
Evaluating Open-QA Evaluation NIPS 2023
Improving CLIP Fine-tuning Performance ICCV 2023
Dual Learning with Dynamic Knowledge Distillation for Partially Relevant Video Retrieval ICCV 2023
TinyMIM: An Empirical Study of Distilling MIM Pre-Trained Models CVPR 2023
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction ACL 2023
CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation ACL 2023
Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations ACL 2023
Dual Cache for Long Document Neural Coreference Resolution ACL 2023
Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning ACL 2023
AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation ACL 2023
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus EMNLP 2023
Self-supervised Amodal Video Object Segmentation NIPS 2022
Self-Healing Robust Neural Networks via Closed-Loop Control JMLR 2022
"A Simple Approach and Benchmark for 21,000-Category Object Detection" ECCV 2022
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model ECCV 2022
PSS: Progressive Sample Selection for Open-World Visual Representation Learning ECCV 2022
SSEGCN: Syntactic and Semantic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis NAACL 2022
RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees EMNLP 2022
Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours EMNLP 2022
Dialogue Meaning Representation for Task-Oriented Dialogue Systems EMNLP 2022
Conversation Disentanglement with Bi-Level Contrastive Learning EMNLP 2022
DORE: Document Ordered Relation Extraction based on Generative Framework EMNLP 2022
A Unified Dialogue User Simulator for Few-shot Data Augmentation EMNLP 2022
Vega-MT: The JD Explore Academy Machine Translation System for WMT22 EMNLP 2022
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning NIPS 2022
Learning Enhanced Representation for Tabular Data via Neighborhood Propagation NIPS 2022
It is AI’s Turn to Ask Humans a Question: Question-Answer Pair Generation for Children’s Story Books ACL 2022
Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension ACL 2022
Why Propagate Alone? Parallel Use of Labels and Features on Graphs ICLR 2022
Inductive Relation Prediction Using Analogy Subgraph Embeddings ICLR 2022
Could Giant Pre-trained Image Models Extract Universal Representations? NIPS 2022
Interactive Information Extraction by Semantic Information Graph IJCAI 2022
Swin Transformer V2: Scaling Up Capacity and Resolution CVPR 2022
SimMIM: A Simple Framework for Masked Image Modeling CVPR 2022
Video Swin Transformer CVPR 2022
Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring AAAI 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms ICML 2021
Bootstrap Your Object Detector via Mixed Training NIPS 2021
Representation Learning on Spatial Networks NIPS 2021
Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows ICCV 2021
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections EMNLP 2021
A Unified Generative Framework for Aspect-based Sentiment Analysis IJCNLP 2021
End-to-End Semi-Supervised Object Detection With Soft Teacher ICCV 2021
Semantics Disentangling for Generalized Zero-Shot Learning ICCV 2021
Group-Free 3D Object Detection via Transformers ICCV 2021
Towards Robust Neural Networks via Close-loop Control ICLR 2021
Learning Hierarchical Graph Neural Networks for Image Clustering ICCV 2021
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning CVPR 2021
A Unified Generative Framework for Various NER Subtasks IJCNLP 2021
Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing CVPR 2021
Bayesian Inference with Certifiable Adversarial Robustness AISTATS 2021
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction NIPS 2021
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings AISTATS 2021
A Unified Generative Framework for Aspect-based Sentiment Analysis ACL 2021
A Unified Generative Framework for Various NER Subtasks ACL 2021
Partial-Label and Structure-constrained Deep Coupled Factorization Network AAAI 2021
TL-Explorer: A Digital Humanities Tool for Mapping and Analyzing Translated Literature COLING 2020
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems ACL 2020
MovieChats: Chat like Humans in a Closed Domain EMNLP 2020
Learning Goal-oriented Dialogue Policy with opposite Agent Awareness AACL 2020
A Closer Look at Local Aggregation Operators in Point Cloud Analysis ECCV 2020
Parametric Instance Classification for Unsupervised Visual Feature learning NIPS 2020
Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification AAAI 2020
Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery IJCAI 2020
CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network IJCAI 2020
Disentangled Non-local Neural Networks ECCV 2020
RepPoints v2: Verification Meets Regression for Object Detection NIPS 2020
Multi-Scale Self-Attention for Text Classification AAAI 2020
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks AAAI 2020
Region Graph Embedding Network for Zero-Shot Learning ECCV 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification ECCV 2020
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation ECCV 2020
GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation COLING 2020
CoLAKE: Contextualized Language and Knowledge Embedding COLING 2020
Spatial-Temporal Relation Networks for Multi-Object Tracking ICCV 2019
Star-Transformer NAACL 2019
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning IJCAI 2019
SADIH: Semantic-Aware DIscrete Hashing AAAI 2019
An Empirical Study of Spatial Attention Mechanisms in Deep Networks ICCV 2019
Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering AAAI 2019
ConvLab: Multi-Domain End-to-End Dialog System Platform ACL 2019
Attentive Region Embedding Network for Zero-Shot Learning CVPR 2019
Local Relation Networks for Image Recognition ICCV 2019
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering ECCV 2018
GNEG: Graph-Based Negative Sampling for word2vec ACL 2018
Efficient Generation and Processing of Word Co-occurrence Networks Using corpus2graph NAACL 2018
Loss Functions for Multiset Prediction NIPS 2018
Relation Networks for Object Detection CVPR 2018
Saliency-based Sequential Image Attention with Multiset Prediction NIPS 2017
Multi-Oriented Text Detection With Fully Convolutional Networks CVPR 2016
Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis CVPR 2016
Symmetry-Based Text Line Detection in Natural Scenes CVPR 2015
The Application of Two-Level Attention Models in Deep Convolutional Neural Network for Fine-Grained Image Classification CVPR 2015
Multiple Granularity Descriptors for Fine-Grained Categorization ICCV 2015
Attentional Neural Network: Feature Selection Using Cognitive Feedback NIPS 2014