← Authors

Jie Zhang

212 papers · 2004–2026 · 20 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (41) 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (21) 🌍 Conference Polyglot (20) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (5) 🏠 Conference Loyalist (37) πŸ† Grand Slam 🀝 Dynamic Duo (15) πŸ”¬ Deep Specialist (15) πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (128) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ’Ž Century Club (201) ⚑ Prolific Year (21) πŸ”₯ Unstoppable (11)

Conferences

AAAI (48) IJCAI (29) ICML (18) NIPS (18) CVPR (16) ICLR (16) INTERSPEECH (15) ACL (10) EMNLP (6) ICCV (6) COLING (5) ECCV (5) NAACL (5) MICCAI (4) WACV (3) NSDI (2) UAI (2) ACML (2) OSDI (1) SEMEVAL (1)

Top co-authors

Zhiguang Cao (15) Song Guo (15) Shiguang Shan (14) Wen Song (12) Weiming Zhang (12) Nenghai Yu (11) Yaoxin Wu (11) Tianwei Zhang (8) Xilin Chen (8) Zhu Sun (7)

Research topics

Privacy (4) Techniques (1) Systems (1)

Keywords

large language model (16) federated learning (11) knowledge distillation (10) graph neural network (9) adversarial attack (8) self-supervised learning (7) neural network (6) transfer learning (6) speaker verification (5) model compression (5) semi-supervised learning (5) representation learning (5) few-shot learning (4) adversarial robustness (4) attention mechanism (4) deep reinforcement learning (4) multimodal learning (4) zero-shot learning (4) deep learning (4) reinforcement learning (4)

Papers

RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers AAAI 2026
SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache AAAI 2026
TAdaRAG: Task Adaptive Retrieval-Augmented Generation via On-the-Fly Knowledge Graph Construction AAAI 2026
Steering Representations, Safeguarding Privacy: A Cross-Modal Privacy Protection Method for Generative AI AAAI 2026
TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models AAAI 2026
SUGAR: Learning Skeleton Representation with Visual-Motion Knowledge for Action Recognition AAAI 2026
Designing Optimal Mechanisms to Locate Facilities with Insufficient Capacity for Bayesian Agents AAAI 2026
Dense Cross-Scale Image Alignment with Fully Spatial Correlation and Just Noticeable Difference Guidance AAAI 2026
When Eyes and Ears Disagree: Can MLLMs Discern Audio-Visual Confusion? AAAI 2026
MAGIC: Mastering Physical Adversarial Generation in Context Through Collaborative LLM Agents AAAI 2026
Anti-Avatar: Protect Against Unauthorized 3D Head Avatar Generation via Dual-Space Divergence AAAI 2026
The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models ACL 2025
UCS-SQL: Uniting Content and Structure for Enhanced Semantic Bridging In Text-to-SQL ACL 2025
TeleAI at SemEval-2025 Task 8: Advancing Table Reasoning Framework with Large Language Models ACL 2025
T2R-BENCH: A Benchmark for Real World Table-to-Report Task EMNLP 2025
Evaluating Cognitive-Behavioral Fixation via Multimodal User Viewing Patterns on Social Media EMNLP 2025
AVF-MAE++: Scaling Affective Video Facial Masked Autoencoders via Efficient Audio-Visual Self-Supervised Learning CVPR 2025
SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments CVPR 2025
MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images CVPR 2025
Face Forgery Video Detection via Temporal Forgery Cue Unraveling CVPR 2025
Related Knowledge Perturbation Matters: Rethinking Multiple Pieces of Knowledge Editing in Same-Subject NAACL 2025
Video-Bench: Human-Aligned Video Generation Benchmark CVPR 2025
On the Vulnerability of Text Sanitization NAACL 2025
SafetyQuizzer: Timely and Dynamic Evaluation on the Safety of LLMs NAACL 2025
Surgical Action Planning with Large Language Models MICCAI 2025
CSAP-Assist: Instrument-Agent Dialogue Empowered Vision-Language Models for Collaborative Surgical Action Planning MICCAI 2025
Stackelberg vs. Nash in the Lottery Colonel Blotto Game IJCAI 2025
Efficient Long Context Fine-tuning with Chunk Flow ICML 2025
Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems ICML 2025
The Jailbreak Tax: How Useful are Your Jailbreak Outputs? ICML 2025
EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuning ICML 2025
An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems AAAI 2025
Textual Unlearning Gives a False Sense of Unlearning ICML 2025
Does Training with Synthetic Data Truly Protect Privacy? ICLR 2025
VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking ICLR 2025
REEF: Representation Encoding Fingerprints for Large Language Models ICLR 2025
RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition AAAI 2025
Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation AAAI 2025
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation AAAI 2025
Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification AAAI 2025
EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers ICML 2025
Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection AAAI 2025
CSSinger: End-to-End Chunkwise Streaming Singing Voice Synthesis System Based on Conditional Variational Autoencoder AAAI 2025
Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary AAAI 2025
Exploring Prosocial Irrationality for LLM Agents: A Social Cognition View ICLR 2025
Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs ICLR 2025
Causally Motivated Sycophancy Mitigation for Large Language Models ICLR 2025
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting ICCV 2025
TeleAI at SemEval-2025 Task 8: Advancing Table Reasoning Framework with Large Language Models SEMEVAL 2025
Beehive: A Scalable Disaggregated Memory Runtime Exploiting Asynchrony of Multithreaded Programs NSDI 2025
Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models NAACL 2025
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning CVPR 2024
Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing NIPS 2024
AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents NIPS 2024
Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox NIPS 2024
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users NIPS 2024
Learning to Handle Complex Constraints for Vehicle Routing Problems NIPS 2024
Collaboration! Towards Robust Neural Methods for Routing Problems NIPS 2024
Frequency-Adaptive Pan-Sharpening with Mixture of Experts AAAI 2024
Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain AAAI 2024
Data-Free Hard-Label Robustness Stealing Attack AAAI 2024
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks AAAI 2024
Cost Minimization for Equilibrium Transition AAAI 2024
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators AAAI 2024
An Optimal Transport View for Subspace Clustering and Spectral Clustering AAAI 2024
On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks AAAI 2024
Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation AAAI 2024
SAME: Sample Reconstruction against Model Extraction Attacks AAAI 2024
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models AAAI 2024
SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning ACL 2024
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models ACL 2024
Dual Prompt Tuning based Contrastive Learning for Hierarchical Text Classification ACL 2024
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict COLING 2024
Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness CVPR 2024
Video Harmonization with Triplet Spatio-Temporal Variation Patterns CVPR 2024
Robust-Wide: Robust Watermarking against Instruction-driven Image Editing ECCV 2024
T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models ECCV 2024
DiffClass: Diffusion-Based Class Incremental Learning ECCV 2024
Message Passing on Semantic-Anchor-Graphs for Fine-grained Emotion Representation Learning and Classification EMNLP 2024
Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients ICLR 2024
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling ICLR 2024
Real-Fake: Effective Training Data Synthesis Through Distribution Matching ICLR 2024
SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning ICLR 2024
Multi-granularity Correspondence Learning from Long-term Noisy Videos ICLR 2024
High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion ICML 2024
AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA ICML 2024
Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization ICML 2024
Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring ICML 2024
Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models ICML 2024
Transferable Facial Privacy Protection against Blind Face Restoration via Domain-Consistent Adversarial Obfuscation ICML 2024
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts ICML 2024
Facility Location Problems with Capacity Constraints: Two Facilities and Beyond IJCAI 2024
Unlearning during Learning: An Efficient Federated Machine Unlearning Method IJCAI 2024
ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning IJCAI 2024
Dual Expert Distillation Network for Generalized Zero-Shot Learning IJCAI 2024
Spoofing Speech Detection by Modeling Local Spectro-Temporal and Long-term Dependency INTERSPEECH 2024
Boosting the Transferability of Adversarial Examples with Gradient-Aligned Ensemble Attack for Speaker Recognition INTERSPEECH 2024
Refining Self-supervised Learnt Speech Representation using Brain Activations INTERSPEECH 2024
Adapter Learning from Pre-trained Model for Robust Spoof Speech Detection INTERSPEECH 2024
Fine-tune Pre-Trained Models with Multi-Level Feature Fusion for Speaker Verification INTERSPEECH 2024
LDM-SVC: Latent Diffusion Model Based Zero-Shot Any-to-Any Singing Voice Conversion with Singer Guidance INTERSPEECH 2024
Contrastive Learning and Inter-Speaker Distribution Alignment Based Unsupervised Domain Adaptation for Robust Speaker Verification INTERSPEECH 2024
Cardiac Physiology Knowledge-driven Diffusion Model for Contrast-free Synthesis Myocardial Infarction Enhancement MICCAI 2024
MetaUNETR: Rethinking Token Mixer Encoding for Efficient Multi-Organ Segmentation MICCAI 2024
Understanding Routable PCIe Performance for Composable Infrastructures NSDI 2024
On the Capacitated Facility Location Problem with Scarce Resources UAI 2024
Contextual Affinity Distillation for Image Anomaly Detection WACV 2024
Real-Time Causal Spectro-Temporal Voice Activity Detection Based on Convolutional Encoding and Residual Decoding INTERSPEECH 2023
SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models NIPS 2023
Accelerating Dataset Distillation via Model Augmentation CVPR 2023
A Black-Box Attack on Code Models via Representation Nearest Neighbor Search EMNLP 2023
AutoStegaFont: Synthesizing Vector Fonts for Hiding Information in Documents AAAI 2023
Multi-view graph contrastive learning for solving vehicle routing problems UAI 2023
Delving into the Adversarial Robustness of Federated Learning AAAI 2023
Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network AAAI 2023
Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification CVPR 2023
Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift NIPS 2023
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation ICCV 2023
BASEN: Time-Domain Brain-Assisted Speech Enhancement Network with Convolutional Cross Attention in Multi-talker Conditions INTERSPEECH 2023
Semantic VAD: Low-Latency Voice Activity Detection for Speech Interaction INTERSPEECH 2023
Pyramid Dual Domain Injection Network for Pan-sharpening ICCV 2023
Rethinking Data Distillation: Do Not Overlook Calibration ICCV 2023
DeAR: A Deep-Learning-Based Audio Re-recording Resilient Watermarking AAAI 2023
CASA-ASR: Context-Aware Speaker-Attributed ASR INTERSPEECH 2023
Towards Unbiased Training in Federated Open-world Semi-supervised Learning ICML 2023
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems ICML 2023
IDEAL: Query-Efficient Data-Free Learning from Black-Box Models ICLR 2023
Learning Sparse Group Models Through Boolean Relaxation ICLR 2023
The USTC’s Dialect Speech Translation System for IWSLT 2023 ACL 2023
External Text Based Data Augmentation for Low-Resource Speech Recognition in the Constrained Condition of OpenASR21 Challenge INTERSPEECH 2022
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences IJCAI 2022
Differential Time-frequency Log-mel Spectrogram Features for Vision Transformer Based Infant Cry Recognition INTERSPEECH 2022
A Complementary Joint Training Approach Using Unpaired Speech and Text A Complementary Joint Training Approach Using Unpaired Speech and Text INTERSPEECH 2022
Active Sampling for Min-Max Fairness ICML 2022
Federated Learning with Label Distribution Skew via Logits Calibration ICML 2022
Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs ICLR 2022
Tracing Text Provenance via Context-Aware Lexical Substitution AAAI 2022
Learning to Solve Routing Problems via Distributionally Robust Optimization AAAI 2022
Structural Landmarking and Interaction Modelling: A β€œSLIM” Network for Graph Classification AAAI 2022
Leveraging Automated Unit Tests for Unsupervised Code Translation ICLR 2022
Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning NIPS 2022
Graph Learning Assisted Multi-Objective Integer Programming NIPS 2022
Adaptive Image Transformations for Transfer-Based Adversarial Attack ECCV 2022
DENSE: Data-Free One-Shot Federated Learning NIPS 2022
Towards Efficient Data Free Black-Box Adversarial Attack CVPR 2022
Enhancing Face Recognition With Self-Supervised 3D Reconstruction CVPR 2022
Layer-Wised Model Aggregation for Personalized Federated Learning CVPR 2022
Parameterized Knowledge Transfer for Personalized Federated Learning NIPS 2021
An Improved Wav2Vec 2.0 Pre-Training Approach Using Enhanced Local Dependency Modeling for Speech Recognition INTERSPEECH 2021
Learning Large Neighborhood Search Policy for Integer Programming NIPS 2021
Initiative Defense against Facial Manipulation AAAI 2021
Transfer Learning via Optimal Transportation for Integrative Cancer Patient Stratification IJCAI 2021
Meta Gradient Adversarial Attack ICCV 2021
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem NIPS 2021
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems AAAI 2021
Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract) AAAI 2021
Cascaded Semantic and Positional Self-Attention Network for Document Classification EMNLP 2020
Model Watermarking for Image Processing Networks AAAI 2020
COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment AAAI 2020
AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism AAAI 2020
A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario AAAI 2020
Bounded Incentives in Manipulating the Probabilistic Serial Rule AAAI 2020
An Attentional Recurrent Neural Network for Personalized Next Location Recommendation AAAI 2020
Passport-aware Normalization for Deep Model Protection NIPS 2020
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach IJCAI 2020
An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins IJCAI 2020
Multi-Robot Adversarial Patrolling Strategies via Lattice Paths IJCAI 2020
A Speech-to-Knowledge-Graph Construction System IJCAI 2020
Graph Random Neural Networks for Semi-Supervised Learning on Graphs NIPS 2020
Regularize, Expand and Compress: NonExpansive Continual Learning WACV 2020
Class-incremental Learning via Deep Model Consolidation WACV 2020
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning NIPS 2020
Single-Side Domain Generalization for Face Anti-Spoofing CVPR 2020
Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation CVPR 2020
Data Augmentation for Multiclass Utterance Classification – A Systematic Study COLING 2020
Diversify Question Generation with Continuous Content Selectors and Question Type Modeling EMNLP 2020
Adaptive Structural Fingerprints for Graph Attention Networks ICLR 2020
General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits AAAI 2019
ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection IJCAI 2019
Supervised User Ranking in Signed Social Networks AAAI 2019
Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization ICML 2019
Average-case Analysis of the Assignment Problem with Independent Preferences IJCAI 2019
Generative Visual Dialogue System via Weighted Likelihood Estimation IJCAI 2019
ProNE: Fast and Scalable Network Representation Learning IJCAI 2019
Algorithms for Fair Load Shedding in Developing Countries IJCAI 2018
A Novel Strategy for Active Task Assignment in Crowd Labeling IJCAI 2018
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing NIPS 2018
An Operation Network for Abstractive Sentence Compression COLING 2018
Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection ECCV 2018
FlashShare: Punching Through Server Storage Stack from Kernel to Firmware for Ultra-Low Latency SSDs OSDI 2018
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices IJCAI 2018
MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation IJCAI 2017
Online Reputation Fraud Campaign Detection in User Ratings IJCAI 2017
A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing IJCAI 2017
Optimal Posted-Price Mechanism in Microtask Crowdsourcing IJCAI 2017
A Distributed and Scalable Machine Learning Approach for Big Data IJCAI 2016
Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders CVPR 2016
Quantifying Robustness of Trust Systems against Collusive Unfair Rating Attacks Using Information Theory IJCAI 2015
Secure Routing in Wireless Sensor Networks via POMDPs IJCAI 2015
Leveraging Datasets With Varying Annotations for Face Alignment via Deep Regression Network ICCV 2015
Improving Sybil Detection via Graph Pruning and Regularization Techniques ACML 2015
Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach ACML 2015
Externalities in Cake Cutting IJCAI 2013
Misleading Opinions Provided by Advisors: Dishonesty or Subjectivity IJCAI 2013
A Framework to Choose Trust Models for Different E-Marketplace Environments IJCAI 2013
A Novel Bayesian Similarity Measure for Recommender Systems IJCAI 2013
A Review Selection Approach for Accurate Feature Rating Estimation COLING 2010
Exploring Syntactic Features for Relation Extraction using a Convolution Tree Kernel NAACL 2006
A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features ACL 2006
A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features COLING 2006
Exploring Various Knowledge in Relation Extraction ACL 2005
Multi-Criteria-based Active Learning for Named Entity Recognition ACL 2004