Chen Liang

Towards Human-like Virtual Beings: Simulating Human Behavior in 3D Scenes ICCV 2025 Efficiently Editing Mixture-of-Experts Models with Compressed Experts EMNLP 2025 Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling ICLR 2025 Coherence-based Approximate Derivatives via Web of Affine Spaces Optimization RSS 2025 Dual Reciprocal Learning of Language-based Human Motion Understanding and Generation ICCV 2025 Distribution Optimization under Gaussian Hypothesis for Domain Adaptive Semantic Segmentation WACV 2025 IDEA-Bench: How Far are Generative Models from Professional Designing? CVPR 2025 DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems AAAI 2024 PoseAugment: Generative Human Pose Data Augmentation with Physical Plausibility for IMU-based Motion Capture ECCV 2024 Communication Efficient Distributed Training with Distributed Lion NIPS 2024 Non-confusing Generation of Customized Concepts in Diffusion Models ICML 2024 How Does the Disclosure of AI Assistance Affect the Perceptions of Writing? EMNLP 2024 LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models ICLR 2024 Less is More: Task-aware Layer-wise Distillation for Language Model Compression ICML 2023 Symbolic Discovery of Optimization Algorithms NIPS 2023 HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers ICLR 2023 The Effects of AI Biases and Explanations on Human Decision Fairness: A Case Study of Bidding in Rental Housing Markets IJCAI 2023 Module-wise Adaptive Distillation for Multimodality Foundation Models NIPS 2023 Document-Level Event Argument Extraction With a Chain Reasoning Paradigm ACL 2023 Novel Slot Detection With an Incremental Setting EMNLP 2023 Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation ICCV 2023 LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation ICML 2023 No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models ICLR 2022 GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models NIPS 2022 S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation AACL 2022 CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing ACL 2022 Visual Abductive Reasoning CVPR 2022 PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance ICML 2022 S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation IJCNLP 2022 MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation NAACL 2022 Self-Training with Differentiable Teacher NAACL 2022 ZHIXIAOBAO at SemEval-2022 Task 10: Apporoaching Structured Sentiment with Graph Parsing NAACL 2022 ZHIXIAOBAO at SemEval-2022 Task 10: Apporoaching Structured Sentiment with Graph Parsing SEMEVAL 2022 Token-wise Curriculum Learning for Neural Machine Translation EMNLP 2021 A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments AAAI 2021 Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization IJCNLP 2021 Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach EMNLP 2021 Global Fusion Attention for Vision and Language Understanding (Student Abstract) AAAI 2021 Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization ACL 2021 VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild CVPR 2021 ARCH: Efficient Adversarial Regularized Training with Caching EMNLP 2021 Compositional Generalization via Neural-Symbolic Stack Machines NIPS 2020 Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension ICLR 2020 Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing ACL 2020 AutoML-Zero: Evolving Machine Learning Algorithms From Scratch ICML 2020 PyGlove: Symbolic Programming for Automated Machine Learning NIPS 2020 The Evolved Transformer ICML 2019 DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization AAAI 2019 Learning to Generalize from Sparse and Underspecified Rewards ICML 2019 Robust Online Matching with User Arrival Distribution Drift AAAI 2019 Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing NIPS 2018 Distractor Generation for Multiple Choice Questions Using Learning to Rank NAACL 2018 Multi-Scale FCN With Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild CVPR 2017 Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision ACL 2017 Learning Paraphrase Identification with Structural Alignment IJCAI 2016 Storybase: Towards Building a Knowledge Base for News Events IJCNLP 2015 Storybase: Towards Building a Knowledge Base for News Events ACL 2015 Measuring Prerequisite Relations Among Concepts EMNLP 2015 Topical Word Trigger Model for Keyphrase Extraction COLING 2012 Expert Finding for Microblog Misinformation Identification COLING 2012