Jie Zhang

TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models AAAI 2026 TeachMaster: Generative Teaching via Code ACL 2026 INFACT: A Diagnostic Benchmark for Induced Faithfulness and Factuality Hallucinations in Video-LLMs ACL 2026 Think How to Think: Mitigating Overthinking with Autonomous Difficulty Cognition in Large Reasoning Models ACL 2026 LazyEviction: Lagged KV Eviction with Attention Pattern Observation for Efficient Long Reasoning ACL 2026 Localized Low-Rank Adaptation within Clustered Parameter Subspaces ACL 2026 From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation ACL 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 RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers 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 Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation ACL 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 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 Related Knowledge Perturbation Matters: Rethinking Multiple Pieces of Knowledge Editing in Same-Subject NAACL 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 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 An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems AAAI 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 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 Textual Unlearning Gives a False Sense of Unlearning ICML 2025 EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers ICML 2025 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 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 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 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 Video-Bench: Human-Aligned Video Generation Benchmark CVPR 2025 Video Harmonization with Triplet Spatio-Temporal Variation Patterns 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 DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning CVPR 2024 Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness 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 TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation ICCV 2023 DeAR: A Deep-Learning-Based Audio Re-recording Resilient Watermarking AAAI 2023 Delving into the Adversarial Robustness of Federated Learning AAAI 2023 AutoStegaFont: Synthesizing Vector Fonts for Hiding Information in Documents AAAI 2023 Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification CVPR 2023 A Black-Box Attack on Code Models via Representation Nearest Neighbor Search EMNLP 2023 Multi-view graph contrastive learning for solving vehicle routing problems UAI 2023 Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network AAAI 2023 CASA-ASR: Context-Aware Speaker-Attributed ASR INTERSPEECH 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 Real-Time Causal Spectro-Temporal Voice Activity Detection Based on Convolutional Encoding and Residual Decoding INTERSPEECH 2023 Accelerating Dataset Distillation via Model Augmentation CVPR 2023 Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift NIPS 2023 SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models NIPS 2023 Learning Sparse Group Models Through Boolean Relaxation ICLR 2023 IDEAL: Query-Efficient Data-Free Learning from Black-Box Models ICLR 2023 Towards Unbiased Training in Federated Open-world Semi-supervised Learning ICML 2023 Towards Omni-generalizable Neural Methods for Vehicle Routing Problems ICML 2023 The USTC’s Dialect Speech Translation System for IWSLT 2023 ACL 2023 Pyramid Dual Domain Injection Network for Pan-sharpening ICCV 2023 Rethinking Data Distillation: Do Not Overlook Calibration ICCV 2023 Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences IJCAI 2022 DENSE: Data-Free One-Shot Federated Learning NIPS 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 External Text Based Data Augmentation for Low-Resource Speech Recognition in the Constrained Condition of OpenASR21 Challenge INTERSPEECH 2022 Leveraging Automated Unit Tests for Unsupervised Code Translation ICLR 2022 Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs ICLR 2022 Structural Landmarking and Interaction Modelling: A “SLIM” Network for Graph Classification AAAI 2022 Learning to Solve Routing Problems via Distributionally Robust Optimization AAAI 2022 Adaptive Image Transformations for Transfer-Based Adversarial Attack ECCV 2022 Layer-Wised Model Aggregation for Personalized Federated Learning CVPR 2022 Enhancing Face Recognition With Self-Supervised 3D Reconstruction CVPR 2022 Towards Efficient Data Free Black-Box Adversarial Attack CVPR 2022 Tracing Text Provenance via Context-Aware Lexical Substitution AAAI 2022 Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning NIPS 2022 Graph Learning Assisted Multi-Objective Integer Programming NIPS 2022 Active Sampling for Min-Max Fairness ICML 2022 Federated Learning with Label Distribution Skew via Logits Calibration ICML 2022 Learning Large Neighborhood Search Policy for Integer Programming NIPS 2021 An Improved Wav2Vec 2.0 Pre-Training Approach Using Enhanced Local Dependency Modeling for Speech Recognition INTERSPEECH 2021 Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems AAAI 2021 Transfer Learning via Optimal Transportation for Integrative Cancer Patient Stratification IJCAI 2021 Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract) AAAI 2021 Initiative Defense against Facial Manipulation AAAI 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 Parameterized Knowledge Transfer for Personalized Federated Learning NIPS 2021 Model Watermarking for Image Processing Networks AAAI 2020 Data Augmentation for Multiclass Utterance Classification – A Systematic Study COLING 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 COBRA: Context-Aware Bernoulli Neural Networks for Reputation Assessment AAAI 2020 AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism AAAI 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 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 Cascaded Semantic and Positional Self-Attention Network for Document Classification EMNLP 2020 Diversify Question Generation with Continuous Content Selectors and Question Type Modeling EMNLP 2020 Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation CVPR 2020 Single-Side Domain Generalization for Face Anti-Spoofing CVPR 2020 Adaptive Structural Fingerprints for Graph Attention Networks ICLR 2020 Passport-aware Normalization for Deep Model Protection NIPS 2020 ProNE: Fast and Scalable Network Representation Learning IJCAI 2019 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 Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices IJCAI 2018 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 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 An Operation Network for Abstractive Sentence Compression COLING 2018 A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing IJCAI 2017 Online Reputation Fraud Campaign Detection in User Ratings IJCAI 2017 Optimal Posted-Price Mechanism in Microtask Crowdsourcing IJCAI 2017 MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation 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 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 Secure Routing in Wireless Sensor Networks via POMDPs IJCAI 2015 Quantifying Robustness of Trust Systems against Collusive Unfair Rating Attacks Using Information Theory IJCAI 2015 A Novel Bayesian Similarity Measure for Recommender Systems 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 Externalities in Cake Cutting 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