Feng Chen

Uncertainty-Aware Test-Time Search for Optimization Problem Solving ACL 2026 Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss AAAI 2026 OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs AAAI 2026 Benchmarking Large Vision-Language Models on CFMME: A Comprehensive Chinese Financial Multimodal Evaluation Dataset ACL 2026 Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention ACL 2026 AgentOCR: Reimagining Agent History via Optical Self-Compression ACL 2026 Evaluating, Synthesizing, and Enhancing for Customer Support Conversation AAAI 2026 Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function ICLR 2025 HyperTASR: Hypernetwork-Driven Task-Aware Scene Representations for Robust Manipulation CORL 2025 Neighboring Autoregressive Modeling for Efficient Visual Generation ICCV 2025 OURO: A Self-Bootstrapped Framework for Enhancing Multimodal Scene Understanding ICCV 2025 ZipVL: Accelerating Vision-Language Models through Dynamic Token Sparsity ICCV 2025 Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them EMNLP 2025 Training-free Dense-Aligned Diffusion Guidance for Modular Conditional Image Synthesis CVPR 2025 Large Language Models with Reinforcement Learning from Human Feedback Approach for Enhancing Explainable Sexism Detection COLING 2025 Evidential Uncertainty Probes for Graph Neural Networks AISTATS 2025 Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation ACL 2025 GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration AAAI 2025 BFS-Prover: Scalable Best-First Tree Search for LLM-based Automatic Theorem Proving ACL 2025 Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling ACL 2025 MFinMeeting: A Multilingual, Multi-Sector, and Multi-Task Financial Meeting Understanding Evaluation Dataset ACL 2025 GMT: Guided Mask Transformer for Leaf Instance Segmentation WACV 2025 Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt MICCAI 2025 Learning to Reuse Policies in State Evolvable Environments ICML 2025 When do neural networks learn world models? ICML 2025 ZipAR: Parallel Autoregressive Image Generation through Spatial Locality ICML 2025 Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty ICLR 2024 Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning NIPS 2024 Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? EMNLP 2024 Uncertainty-aware Graph-based Hyperspectral Image Classification ICLR 2024 Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers ICLR 2024 RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation ICML 2024 Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize ICML 2024 Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms IJCAI 2024 Transmitted and Aggregated Self-Attention for Automatic Speech Recognition INTERSPEECH 2024 Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission NAACL 2024 Fast Counterfactual Inference for History-Based Reinforcement Learning AAAI 2023 Rethinking Speech Recognition with A Multimodal Perspective via Acoustic and Semantic Cooperative Decoding INTERSPEECH 2023 InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition INTERSPEECH 2023 Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers AAAI 2023 Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks NIPS 2023 Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization NIPS 2023 Prototypical Model with Information-Theoretic Loss Functions for Generalized Zero-Shot Learning ACML 2023 Towards Deployment-Efficient and Collision-Free Multi-Agent Path Finding (Student Abstract) AAAI 2023 Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? ICLR 2023 Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression NIPS 2023 DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics NIPS 2023 Uncertainty-guided Learning for Improving Image Manipulation Detection ICCV 2023 A Nested Bi-level Optimization Framework for Robust Few Shot Learning AAAI 2022 Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs AAAI 2022 Learning to Branch with Tree MDPs NIPS 2022 Efficient Multi-agent Communication via Self-supervised Information Aggregation NIPS 2022 Transferring Hierarchical Structures with Dual Meta Imitation Learning CORL 2022 PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information ICML 2022 Iterative Interactive Modeling for Knotting Plastic Bags CORL 2022 Multi-Agent Concentrative Coordination with Decentralized Task Representation IJCAI 2022 Interacting Attention Graph for Single Image Two-Hand Reconstruction CVPR 2022 Multidimensional Uncertainty-Aware Evidential Neural Networks AAAI 2021 Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation EMNLP 2021 Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning AISTATS 2021 RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning NIPS 2021 A Double Phases Generation Network for Yes or No Question Generation (Student Abstract) AAAI 2021 Local Aggressive Adversarial Attacks on 3D Point Cloud ACML 2021 Uncertainty Aware Semi-Supervised Learning on Graph Data NIPS 2020 Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning NIPS 2020 Task Understanding from Confusing Multi-task Data ICML 2020 Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning NIPS 2020 Convolution with even-sized kernels and symmetric padding NIPS 2019 Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization ICML 2019 Uncovering Specific-Shape Graph Anomalies in Attributed Graphs AAAI 2019 Training and Inference with Integers in Deep Neural Networks ICLR 2018 Query-Driven Discovery of Anomalous Subgraphs in Attributed Graphs IJCAI 2017 A Generalized Matching Pursuit Approach for Graph-Structured Sparsity IJCAI 2016 Variational Planning for Graph-based MDPs NIPS 2013