Zhen Zhang

62 papers · 2015–2026 · 18 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌍 Conference Polyglot (18) 🏃 Academic Marathon (10) 🐝 Cross-Pollinator (10) 🔬 Deep Specialist (10) 🏆 Grand Slam 🏆 Keyword Champion 🗃️ Keyword Collector (273) 💎 Century Club (60) 📈 Trend Setter 🔥 Unstoppable (6) ⚡ Prolific Year (5)

Conferences

NIPS (9) AAAI (8) EMNLP (7) ACL (6) ICCV (6) ICLR (6) CVPR (5) COLING (2) ECCV (2) IJCAI (2) NAACL (2) OSDI (1) NSDI (1) MICCAI (1) JMLR (1) INTERSPEECH (1) ICML (1) AISTATS (1)

Top co-authors

Mengting Hu (6) Wee Sun Lee (6) Javen Qinfeng Shi (6) Yuhang Liu (5) Qinfeng Shi (5) Sheng Zhou (4) Qilong Feng (4) Jiajun Bu (4) Anton van den Hengel (4) Bingsheng He (4)

Research topics

Keywords

graph neural network (7) uncertainty quantification (3) contrastive learning (3) domain adaptation (3) unsupervised domain adaptation (3) feature matching (3) approximation algorithm (3) kernel methods (3) retrieval-augmented generation (3) reproducing kernel hilbert space (2) multimodal learning (2) combinatorial optimization (2) multi-task learning (2) distribution shift (2) link prediction (2) semantic segmentation (2) representation learning (2) belief propagation (2) transfer learning (2) retrieval augmented generation (2)

Papers

A More Efficient Reduction from Outlier-Aware to Outlier-Free k-Median AAAI 2026

KnowLCP: Knowledge Augmented Lane Change Prediction for Autonomous Driving AAAI 2026

KBM: Delineating Knowledge Boundary for Adaptive Retrieval in Large Language Models EMNLP 2025

Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference EMNLP 2025

PathwiseRAG: Multi-Dimensional Exploration and Integration Framework EMNLP 2025

MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models EMNLP 2025

Analytic DAG Constraints for Differentiable DAG Learning ICLR 2025

New Algorithms for the Learning-Augmented k-means Problem ICLR 2025

Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent ICLR 2025

Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis MICCAI 2025

Learning Cascade Ranking as One Network ICML 2025

Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift ICLR 2025

Dual-View Interaction-Aware Lane Change Prediction for Autonomous Driving AAAI 2025

Bias-Resilient Weakly Supervised Semantic Segmentation Using Normalizing Flows ICCV 2025

Split-and-Combine: Enhancing Style Augmentation for Single Domain Generalization ICCV 2025

Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning ICCV 2025

Parameterized Approximation Schemes for Fair-Range Clustering NIPS 2024

Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets NIPS 2024

Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation NIPS 2024

Rethinking Propagation for Unsupervised Graph Domain Adaptation AAAI 2024

Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation AAAI 2024

Coreference Graph Guidance for Mind-Map Generation AAAI 2024

Distillation Enhanced Generative Retrieval ACL 2024

Modalities Should Be Appropriately Leveraged: Uncertainty Guidance for Multimodal Chinese Spelling Correction COLING 2024

CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts ECCV 2024

Identifiable Latent Polynomial Causal Models through the Lens of Change ICLR 2024

EX-Graph: A Pioneering Dataset Bridging Ethereum and X ICLR 2024

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing NAACL 2024

DISTMM: Accelerating Distributed Multimodal Model Training NSDI 2024

Factor Graph Neural Networks JMLR 2023

E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition ACL 2023

OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models ACL 2023

RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue ACL 2023

Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based Alignment EMNLP 2023

Only a Few Classes Confusing: Pixel-Wise Candidate Labels Disambiguation for Foggy Scene Understanding AAAI 2023

Towards a Unified Framework for Reference Retrieval and Related Work Generation EMNLP 2023

Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction ACL 2023

Lexical Translation Inconsistency-Aware Document-Level Translation Repair ACL 2023

RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data EMNLP 2023

Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT NIPS 2023

Truncated Matrix Power Iteration for Differentiable DAG Learning NIPS 2022

HwTscSU’s Submissions on WAT 2022 Shared Task COLING 2022

PCEE-BERT: Accelerating BERT Inference via Patient and Confident Early Exiting NAACL 2022

Sparse Structure Search for Delta Tuning NIPS 2022

Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition ECCV 2022

PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications OSDI 2020

Factor Graph Neural Networks NIPS 2020

Multiplicative Gaussian Particle Filter AISTATS 2020

Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition AAAI 2020

KerGM: Kernelized Graph Matching NIPS 2019

Character-Aware Sub-Word Level Language Modeling for Uyghur and Turkish ASR INTERSPEECH 2019

Deep Graphical Feature Learning for the Feature Matching Problem ICCV 2019

RetGK: Graph Kernels based on Return Probabilities of Random Walks NIPS 2018

ANRL: Attributed Network Representation Learning via Deep Neural Networks IJCAI 2018

Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation CVPR 2018

Convolutional Sequence to Sequence Model for Human Dynamics CVPR 2018

Dynamic Programming Bipartite Belief Propagation For Hyper Graph Matching IJCAI 2017

Depth and Image Restoration From Light Field in a Scattering Medium ICCV 2017

Joint Probabilistic Matching Using m-Best Solutions CVPR 2016

Pairwise Matching Through Max-Weight Bipartite Belief Propagation CVPR 2016

Joint Probabilistic Data Association Revisited ICCV 2015

Learning Graph Structure for Multi-Label Image Classification via Clique Generation CVPR 2015