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Xiang Wang

112 papers · 2013–2026 · 14 conferences · across top CS/AI conferences

Achievements

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+15 more ↓ 🧭 Keyword Pioneer 🌍 Conference Polyglot (14) πŸ—ΊοΈ Taxonomy Completionist (10) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (12)
πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🀝 Dynamic Duo (26) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (17) πŸ† Keyword Champion πŸš€ Conference Pioneer ⚑ Prolific Year (20) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (398) πŸ“ˆ Trend Setter πŸ’Ž Century Club (105) πŸ”₯ Unstoppable (8)

Conferences

CVPR (18) NIPS (18) ICLR (15) AAAI (12) ICML (12) ICCV (9) ACL (8) IJCAI (8) EMNLP (6) ECCV (2) COLT (1) NAACL (1) NSDI (1) WACV (1)

Papers

Delayed Feedback Modeling with Influence Functions AAAI 2026 Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input AAAI 2026 Differentially Private Subspace Fine-Tuning for Large Language Models AAAI 2026 FusionFlow: Enabling Deep Structural Exploration for Automated Agentic Workflow Generation ACL 2026 Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention AAAI 2026 Interpretable Reward Model via Sparse Autoencoder AAAI 2026 Learning to Tell Apart: Weakly Supervised Video Anomaly Detection via Disentangled Semantic Alignment AAAI 2026 Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters CVPR 2025 Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity CVPR 2025 Unified Parameter-Efficient Unlearning for LLMs ICLR 2025 SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding ICLR 2025 Route Sparse Autoencoder to Interpret Large Language Models EMNLP 2025 START: Self-taught Reasoner with Tools EMNLP 2025 LaMP-Val: Large Language Models Empower Personalized Valuation in Auction EMNLP 2025 DMPT: Decoupled Modality-Aware Prompt Tuning for Multi-Modal Object Re-Identification WACV 2025 Intermediate Connectors and Geometric Priors for Language-Guided Affordance Segmentation on Unseen Object Categories ICCV 2025 Geometric Alignment and Prior Modulation for View-Guided Point Cloud Completion on Unseen Categories ICCV 2025 DreamRelation: Relation-Centric Video Customization ICCV 2025 Animate-X: Universal Character Image Animation with Enhanced Motion Representation ICLR 2025 AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models ICLR 2025 Language Representations Can be What Recommenders Need: Findings and Potentials ICLR 2025 Neuron-Level Sequential Editing for Large Language Models ACL 2025 Personal Travel Solver: A Preference-Driven LLM-Solver System for Travel Planning ACL 2025 Robust Preference Optimization via Dynamic Target Margins ACL 2025 Hello Again! LLM-powered Personalized Agent for Long-term Dialogue NAACL 2025 PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models IJCAI 2025 PersonalVideo: High ID-Fidelity Video Customization without Dynamic and Semantic Degradation ICCV 2025 Multi-agent Architecture Search via Agentic Supernet ICML 2025 AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization ICML 2025 DAMA: Data- and Model-aware Alignment of Multi-modal LLMs ICML 2025 AnyEdit: Edit Any Knowledge Encoded in Language Models ICML 2025 Reinforced Lifelong Editing for Language Models ICML 2025 Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? ICML 2025 Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response ICML 2025 FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion ICCV 2025 Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization ICLR 2025 NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation ICLR 2025 DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector ICLR 2025 Customizing Language Models with Instance-wise LoRA for Sequential Recommendation NIPS 2024 Towards Neuron Attributions in Multi-Modal Large Language Models NIPS 2024 Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games ICML 2024 $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$ NIPS 2024 Towards 3D Molecule-Text Interpretation in Language Models ICLR 2024 Text-to-Image Generation for Abstract Concepts AAAI 2024 HR-Pro: Point-Supervised Temporal Action Localization via Hierarchical Reliability Propagation AAAI 2024 ProtT3: Protein-to-Text Generation for Text-based Protein Understanding ACL 2024 MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning ACL 2024 MolTC: Towards Molecular Relational Modeling In Language Models ACL 2024 ReactXT: Understanding Molecular β€œReaction-ship” via Reaction-Contextualized Molecule-Text Pretraining ACL 2024 Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers IJCAI 2024 Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model CVPR 2024 Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation CVPR 2024 A Recipe for Scaling up Text-to-Video Generation with Text-free Videos CVPR 2024 InstructVideo: Instructing Video Diffusion Models with Human Feedback CVPR 2024 LASO: Language-guided Affordance Segmentation on 3D Object CVPR 2024 BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation ECCV 2024 Disentangling Masked Autoencoders for Unsupervised Domain Generalization ECCV 2024 On Softmax Direct Preference Optimization for Recommendation NIPS 2024 SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN ICML 2024 EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models NIPS 2024 Boosting Causal Discovery via Adaptive Sample Reweighting ICLR 2023 Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss NIPS 2023 VideoComposer: Compositional Video Synthesis with Motion Controllability NIPS 2023 Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift NIPS 2023 Understanding Contrastive Learning via Distributionally Robust Optimization NIPS 2023 Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion NIPS 2023 Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules NIPS 2023 Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis NIPS 2023 WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction AAAI 2023 MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition CVPR 2023 Enlarging Instance-Specific and Class-Specific Information for Open-Set Action Recognition CVPR 2023 MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter EMNLP 2023 ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction EMNLP 2023 A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction EMNLP 2023 Space-time Prompting for Video Class-incremental Learning ICCV 2023 Discovering Spatio-Temporal Rationales for Video Question Answering ICCV 2023 RLIPv2: Fast Scaling of Relational Language-Image Pre-Training ICCV 2023 Understanding Edge-of-Stability Training Dynamics with a Minimalist Example ICLR 2023 Plateau in Monotonic Linear Interpolation --- A "Biased" View of Loss Landscape for Deep Networks ICLR 2023 Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup ICML 2023 Copy Motion From One to Another: Fake Motion Video Generation IJCAI 2022 Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning NIPS 2022 Discovering Invariant Rationales for Graph Neural Networks ICLR 2022 Revisiting Domain Generalized Stereo Matching Networks From a Feature Consistency Perspective CVPR 2022 Hybrid Relation Guided Set Matching for Few-Shot Action Recognition CVPR 2022 Learning From Untrimmed Videos: Self-Supervised Video Representation Learning With Hierarchical Consistency CVPR 2022 Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation CVPR 2022 Invariant Grounding for Video Question Answering CVPR 2022 Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering NIPS 2022 Towards Understanding the Data Dependency of Mixup-style Training ICLR 2022 Let Invariant Rationale Discovery Inspire Graph Contrastive Learning ICML 2022 Visual Boundary Knowledge Translation for Foreground Segmentation AAAI 2021 Guarantees for Tuning the Step Size using a Learning-to-Learn Approach ICML 2021 Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion IJCAI 2021 Understanding Deflation Process in Over-parametrized Tensor Decomposition NIPS 2021 OadTR: Online Action Detection With Transformers ICCV 2021 Self-Supervised Learning for Semi-Supervised Temporal Action Proposal CVPR 2021 Temporal Context Aggregation Network for Temporal Action Proposal Refinement CVPR 2021 Towards Multi-Grained Explainability for Graph Neural Networks NIPS 2021 Bilinear Graph Neural Network with Neighbor Interactions IJCAI 2020 Beyond Lazy Training for Over-parameterized Tensor Decomposition NIPS 2020 Smart Contract Vulnerability Detection using Graph Neural Network IJCAI 2020 Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network AAAI 2020 Hyperscan: A Fast Multi-pattern Regex Matcher for Modern CPUs NSDI 2019 Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets NIPS 2019 Explainable Reasoning over Knowledge Graphs for Recommendation AAAI 2019 Learning Two-layer Neural Networks with Symmetric Inputs ICLR 2019 Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization COLT 2019 Outer Product-based Neural Collaborative Filtering IJCAI 2018 Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features CVPR 2018 Improving Object Proposals With Multi-Thresholding Straddling Expansion CVPR 2015 Active Learning from Relative Queries IJCAI 2013