Wei Chen

Attention as Selector: Unlocking VLM Attention for Long Document Page Retrieval ACL 2026 STK-Adapter: Incorporating Evolving Graph and Event Chain for Temporal Knowledge Graph Extrapolation ACL 2026 Attention to Threat-Relevant Objects: Reasoning Detection in Autonomous Driving via Multimodal Large Language Models AAAI 2026 Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants AAAI 2026 MHED-SLAM: Multi-Scale Hybrid Encoding-Based Decoupled SLAM AAAI 2026 Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement ACL 2026 Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data ACL 2026 Ready Jurist One: Benchmarking Language Agents for Legal Intelligence in Dynamic Environments ACL 2026 Multimodal DeepResearcher: Generating Text-Chart Interleaved Reports from Scratch with Agentic Framework AAAI 2026 AutoLink: Autonomous Schema Exploration and Expansion for Scalable Schema Linking in Text-to-SQL at Scale AAAI 2026 Demonstrating ViviDoc: Generating Interactive Documents through Human-Agent Collaboration ACL 2026 Doc-V*: Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA ACL 2026 IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation ACL 2026 Relation-R1: Progressively Cognitive Chain-of-Thought Guided Reinforcement Learning for Unified Relation Comprehension AAAI 2026 PaT: Planning-after-Trial for Efficient Test-Time Code Generation ACL 2026 SpeechMedAssist: Efficiently and Effectively Adapting Speech Language Models for Medical Consultation ACL 2026 Enabling Agents to Communicate Entirely in Latent Space ACL 2026 Multi-view Clustering via Multi-granularity Ensemble IJCAI 2025 Credit Assignment and Fine-Tuning Enhanced Reinforcement Learning for Collaborative Spatial Crowdsourcing IJCAI 2025 FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis IJCAI 2025 Unleashing the Potential of Transformer Flow for Photorealistic Face Restoration IJCAI 2025 Offline Learning for Combinatorial Multi-armed Bandits ICML 2025 Learnware Specification via Dual Alignment ICML 2025 Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation ICML 2025 CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification ICLR 2025 Structural-Entropy-Based Sample Selection for Efficient and Effective Learning ICLR 2025 Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting ICLR 2025 HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts ICLR 2025 Large Convolutional Model Tuning via Filter Subspace ICLR 2025 Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models ICLR 2025 Evaluating Large Language Models through Role-Guide and Self-Reflection: A Comparative Study ICLR 2025 QR-LoRA: Efficient and Disentangled Fine-tuning via QR Decomposition for Customized Generation ICCV 2025 Sparse Fine-Tuning of Transformers for Generative Tasks ICCV 2025 HoliTracer: Holistic Vectorization of Geographic Objects from Large-Size Remote Sensing Imagery ICCV 2025 Task-Decoupled Bezier Surface Constraint for Uneven Low-Light Image Enhancement ICCV 2025 M2EIT: Multi-Domain Mixture of Experts for Robust Neural Inertial Tracking ICCV 2025 A3GS: Arbitrary Artistic Style into Arbitrary 3D Gaussian Splatting ICCV 2025 DH-FaceVid-1K: A Large-Scale High-Quality Dataset for Face Video Generation ICCV 2025 NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations ICCV 2025 Self-supervised Learning of Hybrid Part-aware 3D Representations of 2D Gaussians and Superquadrics ICCV 2025 R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization ICCV 2025 DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models AAAI 2025 Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic Disentanglement AAAI 2025 GRPose: Learning Graph Relations for Human Image Generation with Pose Priors AAAI 2025 Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data AAAI 2025 Scalable Trajectory-User Linking with Dual-Stream Representation Networks AAAI 2025 Spatial-Temporal Knowledge Distillation for Takeaway Recommendation AAAI 2025 Gradient-Guided Credit Assignment and Joint Optimization for Dependency-Aware Spatial Crowdsourcing AAAI 2025 CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework AAAI 2025 Learnware Specification via Label-Aware Neural Embedding AAAI 2025 Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning AAAI 2025 Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation AAAI 2025 Debiased Active Learning with Variational Gradient Rectifier AAAI 2025 FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025 A Systematic Exploration of Knowledge Graph Alignment with Large Language Models in Retrieval Augmented Generation AAAI 2025 Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks AAAI 2025 Data with High and Consistent Preference Difference Are Better for Reward Model AAAI 2025 UrbanVLP: Multi-Granularity Vision-Language Pretraining for Urban Socioeconomic Indicator Prediction AAAI 2025 Curve-Aware Gaussian Splatting for 3D Parametric Curve Reconstruction ICCV 2025 Growing a Twig to Accelerate Large Vision-Language Models ICCV 2025 FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models ICCV 2025 Following Occam’s Razor: Dynamic Combination of Structured Knowledge for Multi-Hop Question Answering using LLMs EMNLP 2025 Can Large Language Models Translate Unseen Languages in Underrepresented Scripts? EMNLP 2025 BSFA: Leveraging the Subspace Dichotomy to Accelerate Neural Network Training EMNLP 2025 Think and Recall: Layer-Level Prompting for Lifelong Model Editing EMNLP 2025 Jailbreak LLMs through Internal Stance Manipulation EMNLP 2025 A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning ACL 2025 LLMs Can Simulate Standardized Patients via Agent Coevolution ACL 2025 Don’t Reinvent the Wheel: Efficient Instruction-Following Text Embedding based on Guided Space Transformation ACL 2025 ACORD: An Expert-Annotated Retrieval Dataset for Legal Contract Drafting ACL 2025 Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective ACL 2025 EMGLLM: Data-to-Text Alignment for Electromyogram Diagnosis Generation with Medical Numerical Data Encoding ACL 2025 Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models CVPR 2025 CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and Generation CVPR 2025 Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting COLING 2025 AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulator COLING 2025 Do Current Video LLMs Have Strong OCR Abilities? A Preliminary Study COLING 2025 Pyrrha: Congestion-Root-Based Flow Control to Eliminate Head-of-Line Blocking in Datacenter NSDI 2025 Clear Up Confusion: Iterative Differential Generation for Fine-grained Intent Detection with Contrastive Feedback COLING 2025 Dr.ECI: Infusing Large Language Models with Causal Knowledge for Decomposed Reasoning in Event Causality Identification COLING 2025 Octopus: On-device language model for function calling of software APIs NAACL 2025 Instance Relation Learning Network with Label Knowledge Propagation for Few-shot Multi-label Intent Detection IJCAI 2025 LoTLIP: Improving Language-Image Pre-training for Long Text Understanding NIPS 2024 Can Graph Learning Improve Planning in LLM-based Agents? NIPS 2024 Graph Diffusion Policy Optimization NIPS 2024 Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NIPS 2024 Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth NIPS 2024 Generative Retrieval Meets Multi-Graded Relevance NIPS 2024 ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models NIPS 2024 CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense NIPS 2024 Query-Efficient Correlation Clustering with Noisy Oracle NIPS 2024 Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection AAAI 2024 Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off AAAI 2024 Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction AAAI 2024 Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants AAAI 2024 TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences AAAI 2024 Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning ACL 2024 Visualization Recommendation with Prompt-based Reprogramming of Large Language Models ACL 2024 From Discrimination to Generation: Low-Resource Intent Detection with Language Model Instruction Tuning ACL 2024 Combinatorial Causal Bandits without Graph Skeleton ACML 2024 KPatch: Knowledge Patch to Pre-trained Language Model for Zero-Shot Stance Detection on Social Media COLING 2024 Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing CVPR 2024 Language-Image Pre-training with Long Captions ECCV 2024 An Efficient and Effective Transformer Decoder-Based Framework for Multi-Task Visual Grounding ECCV 2024 BAFFLE: A Baseline of Backpropagation-Free Federated Learning ECCV 2024 Paying More Attention to Images: A Training-Free Method for Alleviating Hallucination in LVLMs ECCV 2024 Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition EMNLP 2024 Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering EMNLP 2024 Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback ICLR 2024 Cascading Reinforcement Learning ICLR 2024 From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning ICML 2024 Position: What Can Large Language Models Tell Us about Time Series Analysis ICML 2024 Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond ICML 2024 Automatic De-Biased Temporal-Relational Modeling for Stock Investment Recommendation IJCAI 2024 Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning IJCAI 2024 Active Deep Multi-view Clustering IJCAI 2024 Individual Causal Structure Learning from Population Data IJCAI 2024 Causal-learn: Causal Discovery in Python JMLR 2024 Collaborative Pure Exploration in Kernel Bandit ICLR 2023 Multi-Fidelity Multi-Armed Bandits Revisited NIPS 2023 Closing the gap between the upper bound and lower bound of Adam's iteration complexity NIPS 2023 Scalable Fair Influence Maximization NIPS 2023 Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits ICML 2023 Contextual Combinatorial Bandits with Probabilistically Triggered Arms ICML 2023 Causal Discovery with Latent Confounders Based on Higher-Order Cumulants ICML 2023 Inner Product-based Neural Network Similarity NIPS 2023 Towards Enhancing Relational Rules for Knowledge Graph Link Prediction EMNLP 2023 KNSE: A Knowledge-aware Natural Language Inference Framework for Dialogue Symptom Status Recognition ACL 2023 Dual Class Knowledge Propagation Network for Multi-label Few-shot Intent Detection ACL 2023 Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-Trained Vision-Language Models ICCV 2023 Combinatorial Causal Bandits AAAI 2023 Fourier-Net: Fast Image Registration with Band-Limited Deformation AAAI 2023 Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions COLT 2023 Learning Few-shot Sample-set Operations for Noisy Multi-label Aspect Category Detection IJCAI 2023 MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding EMNLP 2023 Combinatorial Pure Exploration of Causal Bandits ICLR 2023 Online Competitive Influence Maximization AISTATS 2022 FT-DeepNets: Fault-Tolerant Convolutional Neural Networks With Kernel-Based Duplication WACV 2022 Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret NIPS 2022 Adaptive Long-Short Pattern Transformer for Stock Investment Selection IJCAI 2022 Feature-Proxy Transformer for Few-Shot Segmentation NIPS 2022 Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms NIPS 2022 Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks NIPS 2022 Mutual Distillation Learning Network for Trajectory-User Linking IJCAI 2022 Heterogeneous Interactive Snapshot Network for Review-Enhanced Stock Profiling and Recommendation IJCAI 2022 PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior ICLR 2022 Online Influence Maximization with Node-Level Feedback Using Standard Offline Oracles AAAI 2022 TO-FLOW: Efficient Continuous Normalizing Flows With Temporal Optimization Adjoint With Moving Speed CVPR 2022 Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart CVPR 2022 Gradient Information Matters in Policy Optimization by Back-propagating through Model ICLR 2022 D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights ECCV 2022 SE(3) Equivariant Graph Neural Networks with Complete Local Frames ICML 2022 Branching Reinforcement Learning ICML 2022 Learning Cooperative Interactions for Multi-Overlap Aspect Sentiment Triplet Extraction EMNLP 2022 A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis COLING 2022 A Structure-Aware Argument Encoder for Literature Discourse Analysis COLING 2022 Does Momentum Change the Implicit Regularization on Separable Data? NIPS 2022 Continual Learning with Filter Atom Swapping ICLR 2022 Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations ACL 2022 DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation ACL 2022 Recovering Latent Causal Factor for Generalization to Distributional Shifts NIPS 2021 R-Drop: Regularized Dropout for Neural Networks NIPS 2021 Learning Causal Semantic Representation for Out-of-Distribution Prediction NIPS 2021 EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation Learning EMNLP 2021 CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation ACL 2021 How Does Data Augmentation Affect Privacy in Machine Learning? AAAI 2021 SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations AAAI 2021 Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback AAAI 2021 Time Series Domain Adaptation via Sparse Associative Structure Alignment AAAI 2021 Inferring Emotion from Large-scale Internet Voice Data: A Semi-supervised Curriculum Augmentation based Deep Learning Approach AAAI 2021 Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning ICLR 2021 Network Inference and Influence Maximization from Samples ICML 2021 KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation ICML 2021 Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models ICML 2021 Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning ICML 2021 The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks ICML 2021 Large Scale Private Learning via Low-rank Reparametrization ICML 2021 CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation IJCNLP 2021 The Sogou System for Short-Duration Speaker Verification Challenge 2021 INTERSPEECH 2021 Counterfactual Supporting Facts Extraction for Explainable Medical Record Based Diagnosis with Graph Network NAACL 2021 The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle NIPS 2021 Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD NIPS 2021 Path-BN: Towards effective batch normalization in the Path Space for ReLU networks UAI 2021 Combinatorial semi-bandit in the non-stationary environment UAI 2021 FS-Net: Fast Shape-Based Network for Category-Level 6D Object Pose Estimation With Decoupled Rotation Mechanism CVPR 2021 Lifelong Person Re-Identification via Adaptive Knowledge Accumulation CVPR 2021 Combinatorial Pure Exploration with Bottleneck Reward Function NIPS 2021 Stochastic Online Learning with Probabilistic Graph Feedback AAAI 2020 (Locally) Differentially Private Combinatorial Semi-Bandits ICML 2020 Optimization from Structured Samples for Coverage Functions ICML 2020 Robust Neural Machine Translation with ASR Errors ACL 2020 Reinforcement Learning with Dynamic Boltzmann Softmax Updates IJCAI 2020 I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations IJCAI 2020 Gradient Perturbation is Underrated for Differentially Private Convex Optimization IJCAI 2020 G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features CVPR 2020 Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations AAAI 2020 Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization AAAI 2020 Combinatorial Pure Exploration for Dueling Bandit ICML 2020 PointPoseNet: Point Pose Network for Robust 6D Object Pose Estimation WACV 2020 Online Influence Maximization under Linear Threshold Model NIPS 2020 Dual Refinement Underwater Object Detection Network ECCV 2020 EEMEFN: Low-Light Image Enhancement via Edge-Enhanced Multi-Exposure Fusion Network AAAI 2020 Adapting Translation Models for Transcript Disfluency Detection AAAI 2019 Adaptive Influence Maximization with Myopic Feedback NIPS 2019 Type Sequence Preserving Heterogeneous Information Network Embedding AAAI 2019 DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis CVPR 2019 Capacity Control of ReLU Neural Networks by Basis-Path Norm AAAI 2019 An Online Attention-Based Model for Speech Recognition INTERSPEECH 2019 Improved Algorithm on Online Clustering of Bandits IJCAI 2019 BN-invariant Sharpness Regularizes the Training Model to Better Generalization IJCAI 2019 G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space ICLR 2019 Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications IJCAI 2018 Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach IJCAI 2018 Differential Equations for Modeling Asynchronous Algorithms IJCAI 2018 On the Local Hessian in Back-propagation NIPS 2018 Unsupervised Neural Machine Translation with Weight Sharing ACL 2018 Extending Recurrent Neural Aligner for Streaming End-to-End Speech Recognition in Mandarin INTERSPEECH 2018 Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets NAACL 2018 Peperomia at SemEval-2018 Task 2: Vector Similarity Based Approach for Emoji Prediction SEMEVAL 2018 Community Exploration: From Offline Optimization to Online Learning NIPS 2018 Towards Binary-Valued Gates for Robust LSTM Training ICML 2018 Thompson Sampling for Combinatorial Semi-Bandits ICML 2018 Semi-Supervised Disfluency Detection COLING 2018 The Sogou-TIIC Speech Translation System for IWSLT 2018 EMNLP 2018 Learning for Disparity Estimation Through Feature Constancy CVPR 2018 Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting NIPS 2017 LightGBM: A Highly Efficient Gradient Boosting Decision Tree NIPS 2017 Low-Rank Tensor Completion: A Pseudo-Bayesian Learning Approach ICCV 2017 Opinion-aware Knowledge Graph for Political Ideology Detection IJCAI 2017 Towards Compact and Fast Neural Machine Translation Using a Combined Method EMNLP 2017 Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications NIPS 2017 Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems IJCAI 2017 Dual Supervised Learning ICML 2017 Asynchronous Stochastic Gradient Descent with Delay Compensation ICML 2017 Influence Maximization with $\varepsilon$-Almost Submodular Threshold Functions NIPS 2017 Contextual Combinatorial Cascading Bandits ICML 2016 A Character-Aware Encoder for Neural Machine Translation COLING 2016 Asynchronous Accelerated Stochastic Gradient Descent IJCAI 2016 A Communication-Efficient Parallel Algorithm for Decision Tree NIPS 2016 Combinatorial Multi-Armed Bandit with General Reward Functions NIPS 2016 Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms JMLR 2016 pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection SEMEVAL 2016 Multi-Task Learning for Subspace Segmentation ICML 2015 Action Detection by Implicit Intentional Motion Clustering ICCV 2015 Semi-supervised Chinese Word Segmentation based on Bilingual Information EMNLP 2015 Stochastic Online Greedy Learning with Semi-bandit Feedbacks NIPS 2015 Exploiting Community Emotion for Microblog Event Detection EMNLP 2014 Detecting Click Fraud in Online Advertising: A Data Mining Approach JMLR 2014 Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications ICML 2014 Actionness Ranking with Lattice Conditional Ordinal Random Fields CVPR 2014 Combinatorial Pure Exploration of Multi-Armed Bandits NIPS 2014 A Game-Theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search IJCAI 2013 Combinatorial Multi-Armed Bandit: General Framework and Applications ICML 2013 Two-Layer Generalization Analysis for Ranking Using Rademacher Average NIPS 2010 Ranking Measures and Loss Functions in Learning to Rank NIPS 2009 Dimensions of Subjectivity in Natural Language ACL 2008