Gang Chen

A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Task ACL 2026 DeepOR: A Deep Reasoning Foundation Model for Optimization Modeling AAAI 2026 DynamicRTL: RTL Representation Learning for Dynamic Circuit Behavior AAAI 2026 Exploring Surround-View Fisheye Camera 3D Object Detection AAAI 2026 Group-aware Multiscale Ensemble Learning for Test-Time Multimodal Sentiment Analysis AAAI 2026 High-Quality and Efficient Turbulence Mitigation with Events CVPR 2026 QBridge: Bridging Natural Language and SQL via Gold Query Rewriting with Agentic Refinement ACL 2026 See the Forest for the Trees: Loosely Speculative Decoding via Visual-Semantic Guidance for Efficient Inference of Video LLMs ACL 2026 Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning AAAI 2026 Towards Interpretable Tabular Reasoning: Enhancing LLM Reasoning on Tabular Data with Pre-Constructed Logic Graph ACL 2026 U^2Flow: Uncertainty-Aware Unsupervised Optical Flow Estimation CVPR 2026 ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks AAAI 2025 Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion IJCAI 2025 Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering ACL 2025 A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions IJCAI 2025 A Timestep-Adaptive Frequency-Enhancement Framework for Diffusion-based Image Super-Resolution IJCAI 2025 Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL ICLR 2025 CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation AAAI 2025 CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency EMNLP 2025 Document Segmentation Matters for Retrieval-Augmented Generation ACL 2025 Ensembling Prompting Strategies for Zero-Shot Hierarchical Text Classification with Large Language Models EMNLP 2025 Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning AAAI 2025 GATEAU: Selecting Influential Samples for Long Context Alignment EMNLP 2025 GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy IJCAI 2025 Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling ICLR 2025 In-Context Adaptation to Concept Drift for Learned Database Operations ICML 2025 Knowledge Distillation for Learned Image Compression ICCV 2025 LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains EMNLP 2025 M2Flow: A Motion Information Fusion Framework for Enhanced Unsupervised Optical Flow Estimation in Autonomous Driving AAAI 2025 OmniStereo: Real-time Omnidireactional Depth Estimation with Multiview Fisheye Cameras CVPR 2025 POLO: An LLM-Powered Project-Level Code Performance Optimization Framework IJCAI 2025 SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning EMNLP 2025 T2DR: A Two-Tier Deficiency-Resistant Framework for Incomplete Multimodal Learning ACL 2025 Towards Robust Incremental Learning Under Ambiguous Supervision IJCAI 2025 TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack ICML 2025 A Separation and Alignment Framework for Black-Box Domain Adaptation AAAI 2024 CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition AAAI 2024 Chain-of-Experts: When LLMs Meet Complex Operations Research Problems ICLR 2024 Data Contamination Calibration for Black-box LLMs ACL 2024 Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding ACL 2024 Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection EMNLP 2024 Enhancing LLM Reasoning via Vision-Augmented Prompting NeurIPS 2024 HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation EMNLP 2024 Learning Geometry-Aware Representations for New Intent Discovery ACL 2024 Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild NeurIPS 2024 On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey ACL 2024 Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation CVPR 2024 Real-time Stereo-based 3D Object Detection for Streaming Perception NeurIPS 2024 Sampling-Resilient Multi-Object Tracking AAAI 2024 Targeted Representation Alignment for Open-World Semi-Supervised Learning CVPR 2024 Unbiased Multi-Label Learning from Crowdsourced Annotations ICML 2024 Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification AAAI 2024 Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection AAAI 2024 Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting ICML 2023 Debiased and Denoised Entity Recognition from Distant Supervision NeurIPS 2023 Deep Partial Multi-Label Learning with Graph Disambiguation IJCAI 2023 Effective Continual Learning for Text Classification with Lightweight Snapshots AAAI 2023 Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training IJCAI 2023 FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models EMNLP 2023 Human-in-the-Loop Vehicle ReID AAAI 2023 Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering ICLR 2023 ModelGiF: Gradient Fields for Model Functional Distance ICCV 2023 Neural TSP Solver with Progressive Distillation AAAI 2023 ProMix: Combating Label Noise via Maximizing Clean Sample Utility IJCAI 2023 SPA: A Graph Spectral Alignment Perspective for Domain Adaptation NeurIPS 2023 TLM: Token-Level Masking for Transformers EMNLP 2023 Towards Controlled Data Augmentations for Active Learning ICML 2023 Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flow AAAI 2023 Incorporating Instructional Prompts into a Unified Generative Framework for Joint Multiple Intent Detection and Slot Filling COLING 2022 PiCO: Contrastive Label Disambiguation for Partial Label Learning ICLR 2022 SkipBERT: Efficient Inference with Shallow Layer Skipping ACL 2022 SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning NeurIPS 2022 Effective Slot Filling via Weakly-Supervised Dual-Model Learning AAAI 2021 Joining datasets via data augmentation in the label space for neural networks ICML 2021 Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision EMNLP 2021 Collaboration Based Multi-Label Propagation for Fraud Detection IJCAI 2020 Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification AAAI 2020 Learning From Multi-Dimensional Partial Labels IJCAI 2020 Pyramid: A Layered Model for Nested Named Entity Recognition ACL 2020 CAMO: A Collaborative Ranking Method for Content Based Recommendation AAAI 2019 Discriminative and Correlative Partial Multi-Label Learning IJCAI 2019 Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification AAAI 2019 Deep Supervised Hashing with Nonlinear Projections IJCAI 2017