Sen Yang

EM-KD: Distilling Efficient Multimodal Large Language Model with Unbalanced Vision Tokens AAAI 2026 PLAWBENCH: A Rubric-Based Benchmark for Evaluating LLMs in Real-World Legal Practice ACL 2026 StealthGraph: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt Generation ACL 2026 EnAnchored-X2X: English-Anchored Optimization for Many-to-Many Translation EMNLP 2025 Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs NAACL 2025 Atomic Calibration of LLMs in Long-Form Generations IJCNLP 2025 Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning ICML 2025 MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction ICLR 2025 Atomic Calibration of LLMs in Long-Form Generations AACL 2025 WSI-LLaVA: A Multimodal Large Language Model for Whole Slide Image ICCV 2025 LoGU: Long-form Generation with Uncertainty Expressions ACL 2025 TRANS-ZERO: Self-Play Incentivizes Large Language Models for Multilingual Translation Without Parallel Data ACL 2025 DeRIS: Decoupling Perception and Cognition for Enhanced Referring Image Segmentation through Loopback Synergy ICCV 2025 Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning EMNLP 2024 SeaLLMs - Large Language Models for Southeast Asia ACL 2024 Local Interpretation of Transformer Based on Linear Decomposition ACL 2023 PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor AAAI 2023 ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies AAAI 2023 Enhancing Grammatical Error Correction Systems with Explanations ACL 2023 Rutgers Multimedia Image Processing Lab at SemEval-2023 Task-1: Text-Augmentation-based Approach for Visual Word Sense Disambiguation ACL 2023 Why Is the Winner the Best? CVPR 2023 Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning EMNLP 2023 ADNet: Lane Shape Prediction via Anchor Decomposition ICCV 2023 Capturing the Motion of Every Joint: 3D Human Pose and Shape Estimation with Independent Tokens ICLR 2023 Rutgers Multimedia Image Processing Lab at SemEval-2023 Task-1: Text-Augmentation-based Approach for Visual Word Sense Disambiguation SEMEVAL 2023 SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation ECCV 2022 Investigating Non-local Features for Neural Constituency Parsing ACL 2022 Unified Visual Transformer Compression ICLR 2022 Cross-domain Generalization for AMR Parsing EMNLP 2022 Challenges to Open-Domain Constituency Parsing ACL 2022 Node-Aligned Graph Convolutional Network for Whole-Slide Image Representation and Classification CVPR 2022 Multi-Granularity Pruning for Model Acceleration on Mobile Devices ECCV 2022 SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification NIPS 2022 Diversity and Consistency: Exploring Visual Question-Answer Pair Generation EMNLP 2021 GDP: Stabilized Neural Network Pruning via Gates With Differentiable Polarization ICCV 2021 TransPose: Keypoint Localization via Transformer ICCV 2021 TokenPose: Learning Keypoint Tokens for Human Pose Estimation ICCV 2021 TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework NIPS 2021 Template-Based Named Entity Recognition Using BART IJCNLP 2021 Template-Based Named Entity Recognition Using BART ACL 2021 Shifted Chunk Transformer for Spatio-Temporal Representational Learning NIPS 2021 Making the Best Use of Review Summary for Sentiment Analysis COLING 2020 What Have We Achieved on Text Summarization? EMNLP 2020 Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution CVPR 2020 Learning with Non-Convex Truncated Losses by SGD UAI 2019 On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization IJCAI 2019 Exploring Pre-trained Language Models for Event Extraction and Generation ACL 2019 Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning AAAI 2019 On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization ICML 2019 StreamScope: Continuous Reliable Distributed Processing of Big Data Streams NSDI 2016 A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models ICML 2014 Multi-task Vector Field Learning NIPS 2012