Xiang Wang

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

Achievements

🏃 Academic Marathon (12) 🌈 Renaissance Researcher (11) 🌍 Conference Polyglot (14) 🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🤝 Dynamic Duo (26) 👑 Triple Crown 🏆 Grand Slam 🔬 Deep Specialist (17) 🏆 Keyword Champion 🚀 Conference Pioneer ⚡ Prolific Year (20) ❓ The Questioner 🗃️ Keyword Collector (398) 📈 Trend Setter 💎 Century Club (105) 🔥 Unstoppable (8)

Conferences

CVPR (18) NIPS (18) ICLR (15) AAAI (12) ICML (12) ICCV (9) IJCAI (8) ACL (7) EMNLP (6) ECCV (2) COLT (1) NAACL (1) NSDI (1) WACV (1)

Top co-authors

Tat-Seng Chua (26) Xiangnan He (24) An Zhang (19) Shiwei Zhang (18) Jiancan Wu (14) Nong Sang (13) Yingya Zhang (12) Zhiwu Qing (12) Changxin Gao (11) Junfeng Fang (11)

Research topics

Learning Types (1) Techniques (1) Science (1)

Keywords

large language model (13) contrastive learning (9) graph neural network (9) diffusion model (6) temporal modeling (5) action recognition (5) video generation (5) self-supervised learning (5) representation learning (5) multimodal learning (5) video understanding (4) language model (4) domain generalization (4) transfer learning (4) recommender system (4) generative model (3) direct preference optimization (3) preference modeling (3) data augmentation (3) few-shot learning (3)

Papers

Delayed Feedback Modeling with Influence Functions AAAI 2026

Interpretable Reward Model via Sparse Autoencoder AAAI 2026

Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input AAAI 2026

Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention AAAI 2026

Learning to Tell Apart: Weakly Supervised Video Anomaly Detection via Disentangled Semantic Alignment AAAI 2026

Differentially Private Subspace Fine-Tuning for Large Language Models AAAI 2026

NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation ICLR 2025

DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector ICLR 2025

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

Hello Again! LLM-powered Personalized Agent for Long-term Dialogue NAACL 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

FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion ICCV 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

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

PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models IJCAI 2025

DreamRelation: Relation-Centric Video Customization 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

DMPT: Decoupled Modality-Aware Prompt Tuning for Multi-Modal Object Re-Identification WACV 2025

PersonalVideo: High ID-Fidelity Video Customization without Dynamic and Semantic Degradation ICCV 2025

Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization ICLR 2025

Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games ICML 2024

EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models NIPS 2024

Towards Neuron Attributions in Multi-Modal Large Language Models NIPS 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 “Reaction-ship” via Reaction-Contextualized Molecule-Text Pretraining ACL 2024

Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers IJCAI 2024

SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN ICML 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

Customizing Language Models with Instance-wise LoRA for Sequential Recommendation NIPS 2024

Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup ICML 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

Boosting Causal Discovery via Adaptive Sample Reweighting ICLR 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

Towards Understanding the Data Dependency of Mixup-style Training ICLR 2022

Copy Motion From One to Another: Fake Motion Video Generation IJCAI 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

Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning NIPS 2022

Discovering Invariant Rationales for Graph Neural Networks 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

Towards Multi-Grained Explainability for Graph Neural Networks NIPS 2021

Understanding Deflation Process in Over-parametrized Tensor Decomposition NIPS 2021

OadTR: Online Action Detection With Transformers ICCV 2021

Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion IJCAI 2021

Self-Supervised Learning for Semi-Supervised Temporal Action Proposal CVPR 2021

Temporal Context Aggregation Network for Temporal Action Proposal Refinement CVPR 2021

Beyond Lazy Training for Over-parameterized Tensor Decomposition NIPS 2020

Bilinear Graph Neural Network with Neighbor Interactions IJCAI 2020

Smart Contract Vulnerability Detection using Graph Neural Network IJCAI 2020

Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network AAAI 2020

Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets NIPS 2019

Hyperscan: A Fast Multi-pattern Regex Matcher for Modern CPUs NSDI 2019

Learning Two-layer Neural Networks with Symmetric Inputs ICLR 2019

Explainable Reasoning over Knowledge Graphs for Recommendation AAAI 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