Liwei Wang

BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning ICML 2025 DPO Meets PPO: Reinforced Token Optimization for RLHF ICML 2025 The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability ICML 2025 End-to-End Entity-Predicate Association Reasoning for Dynamic Scene Graph Generation ICCV 2025 TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters ICLR 2025 How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs ACL 2025 Can Machines Understand Composition? Dataset and Benchmark for Photographic Image Composition Embedding and Understanding CVPR 2025 DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Image CVPR 2025 UTSamuel at ArchEHR-QA 2025: A Clinical Question Answering System for Responding to Patient Portal Messages Using Generative AI ACL 2025 C2LEVA: Toward Comprehensive and Contamination-Free Language Model Evaluation ACL 2025 AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning ICCV 2025 Homomorphism Expressivity of Spectral Invariant Graph Neural Networks ICLR 2025 Fine-grained Spatiotemporal Grounding on Egocentric Videos ICCV 2025 Video-3D LLM: Learning Position-Aware Video Representation for 3D Scene Understanding CVPR 2025 Learning to Reason from Feedback at Test-Time ACL 2025 Enhancing Temporal Modeling of Video LLMs via Time Gating EMNLP 2024 Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction NIPS 2024 GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs NIPS 2024 Bridging Geometric States via Geometric Diffusion Bridge NIPS 2024 Quantum Algorithms and Lower Bounds for Finite-Sum Optimization ICML 2024 Do Efficient Transformers Really Save Computation? ICML 2024 Making Long-Context Language Models Better Multi-Hop Reasoners ACL 2024 GiT: Towards Generalist Vision Transformer through Universal Language Interface ECCV 2024 Beyond Embeddings: The Promise of Visual Table in Visual Reasoning EMNLP 2024 Towards Learning a Generalist Model for Embodied Navigation CVPR 2024 GeoMFormer: A General Architecture for Geometric Molecular Representation Learning ICML 2024 Wonder at Chemotimelines 2024: MedTimeline: An End-to-End NLP System for Timeline Extraction from Clinical Narratives NAACL 2024 Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret ICML 2024 Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation ICML 2024 Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness ICLR 2024 On cyclical MCMC sampling AISTATS 2024 Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation AISTATS 2024 Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds NIPS 2023 VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control ICCV 2023 Offline Meta Reinforcement Learning with In-Distribution Online Adaptation ICML 2023 Learning Preference Model for LLMs via Automatic Preference Data Generation EMNLP 2023 CLEVA: Chinese Language Models EVAluation Platform EMNLP 2023 PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds NIPS 2023 A Reduction-based Framework for Sequential Decision Making with Delayed Feedback NIPS 2023 UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation ICCV 2023 Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective NIPS 2023 MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning ACL 2023 Learning Physics-Informed Neural Networks without Stacked Back-propagation AISTATS 2023 Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling ICLR 2023 Rethinking the Expressive Power of GNNs via Graph Biconnectivity ICLR 2023 One Transformer Can Understand Both 2D & 3D Molecular Data ICLR 2023 Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game ICLR 2023 Denoising Masked Autoencoders Help Robust Classification ICLR 2023 Provable Sim-to-real Transfer in Continuous Domain with Partial Observations ICLR 2023 A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests ICML 2023 On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness ICML 2023 DSVT: Dynamic Sparse Voxel Transformer With Rotated Sets CVPR 2023 ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-Real Novel View Synthesis via Contrastive Learning CVPR 2023 Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation EMNLP 2022 FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows EMNLP 2022 Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver ICLR 2022 Understanding Domain Randomization for Sim-to-real Transfer ICLR 2022 Your Transformer May Not be as Powerful as You Expect NIPS 2022 Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation ICML 2022 Boosting the Certified Robustness of L-infinity Distance Nets ICLR 2022 DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation ECCV 2022 A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning ICLR 2022 Voxel Field Fusion for 3D Object Detection CVPR 2022 RBGNet: Ray-Based Grouping for 3D Object Detection CVPR 2022 Multi-View Transformer for 3D Visual Grounding CVPR 2022 Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency ACL 2022 CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds NIPS 2022 Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective NIPS 2022 Stratified Transformer for 3D Point Cloud Segmentation CVPR 2022 Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network? NIPS 2022 ComGAN: Unsupervised Disentanglement and Segmentation via Image Composition NIPS 2022 Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power NIPS 2022 Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection ECCV 2022 PointScatter: Point Set Representation for Tubular Structure Extraction ECCV 2022 Nearly Optimal Policy Optimization with Stable at Any Time Guarantee ICML 2022 Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets ICML 2022 Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation CVPR 2021 Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis NIPS 2021 Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs NIPS 2021 Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning NIPS 2021 Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding NIPS 2021 Towards a Theoretical Framework of Out-of-Distribution Generalization NIPS 2021 Augmented Partial Mutual Learning with Frame Masking for Video Captioning AAAI 2021 JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs ACL 2021 Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency CVPR 2021 Self-Supervised 3D Mesh Reconstruction From Single Images CVPR 2021 Fully Convolutional Networks for Panoptic Segmentation CVPR 2021 Dense Relation Distillation With Context-Aware Aggregation for Few-Shot Object Detection CVPR 2021 RAST: Domain-Robust Dialogue Rewriting as Sequence Tagging EMNLP 2021 Region-Aware Contrastive Learning for Semantic Segmentation ICCV 2021 Deep Structured Instance Graph for Distilling Object Detectors ICCV 2021 Learnable Boundary Guided Adversarial Training ICCV 2021 SAT: 2D Semantics Assisted Training for 3D Visual Grounding ICCV 2021 Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL ICLR 2021 GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training ICML 2021 Near-Optimal Representation Learning for Linear Bandits and Linear RL ICML 2021 On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP ICML 2021 Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons ICML 2021 JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs IJCNLP 2021 DAGN: Discourse-Aware Graph Network for Logical Reasoning NAACL 2021 Combinatorial semi-bandit in the non-stationary environment UAI 2021 Boosting Few-Shot Learning With Adaptive Margin Loss CVPR 2020 Comprehensive Image Captioning via Scene Graph Decomposition ECCV 2020 Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories ICLR 2020 Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks ICLR 2020 Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication ICLR 2020 Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP ICLR 2020 MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius ICLR 2020 Robust Local Features for Improving the Generalization of Adversarial Training ICLR 2020 Improving One-stage Visual Grounding by Recursive Sub-query Construction ECCV 2020 Memory Enhanced Global-Local Aggregation for Video Object Detection CVPR 2020 FocalMix: Semi-Supervised Learning for 3D Medical Image Detection CVPR 2020 MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning ACL 2020 (Locally) Differentially Private Combinatorial Semi-Bandits ICML 2020 On Layer Normalization in the Transformer Architecture ICML 2020 Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot NIPS 2020 Improved Analysis of Clipping Algorithms for Non-convex Optimization NIPS 2020 Locally Differentially Private (Contextual) Bandits Learning NIPS 2020 RepPoints v2: Verification Meets Regression for Object Detection NIPS 2020 Semi-Supervised Learning for Video Captioning EMNLP 2020 Dense RepPoints: Representing Visual Objects with Dense Point Sets ECCV 2020 Equipping Experts/Bandits with Long-term Memory NIPS 2019 McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds NIPS 2019 Hint-Based Training for Non-Autoregressive Machine Translation IJCNLP 2019 Learning Relationships for Multi-View 3D Object Recognition ICCV 2019 Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network ACL 2019 A Fast and Accurate One-Stage Approach to Visual Grounding ICCV 2019 Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy CVPR 2019 Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech CVPR 2019 Gradient Descent Finds Global Minima of Deep Neural Networks ICML 2019 Efficient Training of BERT by Progressively Stacking ICML 2019 RepPoints: Point Set Representation for Object Detection ICCV 2019 Few-Shot Learning With Global Class Representations ICCV 2019 Hint-Based Training for Non-Autoregressive Machine Translation EMNLP 2019 Representation Degeneration Problem in Training Natural Language Generation Models ICLR 2019 Improving the Generalization of Adversarial Training with Domain Adaptation ICLR 2019 Attention Neural Model for Temporal Relation Extraction NAACL 2019 Convergence of Adversarial Training in Overparametrized Neural Networks NIPS 2019 Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints COLT 2018 Towards Binary-Valued Gates for Robust LSTM Training ICML 2018 Dropout Training, Data-dependent Regularization, and Generalization Bounds ICML 2018 FRAGE: Frequency-Agnostic Word Representation NIPS 2018 Learning to Navigate for Fine-grained Classification ECCV 2018 Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation NIPS 2018 Learning Region Features for Object Detection ECCV 2018 Efficient Private ERM for Smooth Objectives IJCAI 2017 Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible ICML 2017 Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes COLT 2017 Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space NIPS 2017 The Expressive Power of Neural Networks: A View from the Width NIPS 2017 Decoding with Value Networks for Neural Machine Translation NIPS 2017 Learning Deep Structure-Preserving Image-Text Embeddings CVPR 2016 Dual Learning for Machine Translation NIPS 2016 Differentially Private Data Releasing for Smooth Queries JMLR 2016 Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models ICCV 2015 Social Image Parsing by Cross-Modal Data Refinement IJCAI 2015 A Theoretical Analysis of NDCG Type Ranking Measures COLT 2013 Efficient Algorithm for Privately Releasing Smooth Queries NIPS 2013 A Game-Theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search IJCAI 2013 Dimensionality Dependent PAC-Bayes Margin Bound NIPS 2012 Smoothness, Disagreement Coefficient, and the Label Complexity of Agnostic Active Learning JMLR 2011 A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin JMLR 2011 Sufficient Conditions for Agnostic Active Learnable NIPS 2009