Liang, Chen

44 publications

WACV 2025 Distribution Optimization Under Gaussian Hypothesis for Domain Adaptive Semantic Segmentation Chen Liang, Weihua Chen, Xin Zhao, Junyan Wang, Lijun Cao, Junge Zhang

ICCV 2025 Dual Reciprocal Learning of Language-Based Human Motion Understanding and Generation Chen Liang, Zhicheng Shi, Wenguan Wang, Yi Yang

CVPR 2025 IDEA-Bench: How Far Are Generative Models from Professional Designing? Chen Liang, Lianghua Huang, Jingwu Fang, Huanzhang Dou, Wei Wang, Zhi-Fan Wu, Yupeng Shi, Junge Zhang, Xin Zhao, Yu Liu

ICLR 2025 Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling Liliang Ren, Yang Liu, Yadong Lu, Yelong Shen, Chen Liang, Weizhu Chen

ICCV 2025 Towards Human-like Virtual Beings: Simulating Human Behavior in 3D Scenes Chen Liang, Wenguan Wang, Yi Yang

NeurIPS 2024 Communication Efficient Distributed Training with Distributed Lion Bo Liu, Lemeng Wu, Lizhang Chen, Kaizhao Liang, Jiaxu Zhu, Chen Liang, Raghuraman Krishnamoorthi, Qiang Liu

AAAI 2024 DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems Bowen Wang, Chen Liang, Jiaze Wang, Jiezhong Qiu, Furui Liu, Shaogang Hao, Dong Li, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng

ICLR 2024 LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models Yixiao Li, Yifan Yu, Chen Liang, Nikos Karampatziakis, Pengcheng He, Weizhu Chen, Tuo Zhao

ICML 2024 Non-Confusing Generation of Customized Concepts in Diffusion Models Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang

ECCV 2024 PoseAugment: Generative Human Pose Data Augmentation with Physical Plausibility for IMU-Based Motion Capture Zhuojun Li, Chun Yu, Chen Liang, Yuanchun Shi

NeurIPSW 2023 HART: Efficient Adaptation via Regularized Autoregressive Parameter Generation Chen Liang, Nikos Karampatziakis, Tuo Zhao, Weizhu Chen

ICLR 2023 HomoDistil: Homotopic Task-Agnostic Distillation of Pre-Trained Transformers Chen Liang, Haoming Jiang, Zheng Li, Xianfeng Tang, Bing Yin, Tuo Zhao

ICML 2023 Less Is More: Task-Aware Layer-Wise Distillation for Language Model Compression Chen Liang, Simiao Zuo, Qingru Zhang, Pengcheng He, Weizhu Chen, Tuo Zhao

ICML 2023 LoSparse: Structured Compression of Large Language Models Based on Low-Rank and Sparse Approximation Yixiao Li, Yifan Yu, Qingru Zhang, Chen Liang, Pengcheng He, Weizhu Chen, Tuo Zhao

ICCV 2023 Logic-Induced Diagnostic Reasoning for Semi-Supervised Semantic Segmentation Chen Liang, Wenguan Wang, Jiaxu Miao, Yi Yang

NeurIPS 2023 Module-Wise Adaptive Distillation for Multimodality Foundation Models Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou

NeurIPS 2023 Symbolic Discovery of Optimization Algorithms Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V Le

IJCAI 2023 The Effects of AI Biases and Explanations on Human Decision Fairness: A Case Study of Bidding in Rental Housing Markets Xinru Wang, Chen Liang, Ming Yin

NeurIPS 2022 GMMSeg: Gaussian Mixture Based Generative Semantic Segmentation Models Chen Liang, Wenguan Wang, Jiaxu Miao, Yi Yang

ICLR 2022 No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models Chen Liang, Haoming Jiang, Simiao Zuo, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao

ICML 2022 PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance Qingru Zhang, Simiao Zuo, Chen Liang, Alexander Bukharin, Pengcheng He, Weizhu Chen, Tuo Zhao

CVPR 2022 Visual Abductive Reasoning Chen Liang, Wenguan Wang, Tianfei Zhou, Yi Yang

AAAI 2021 A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments Yu-Hang Zhou, Peng Hu, Chen Liang, Huan Xu, Guangda Huzhang, Yinfu Feng, Qing Da, Xinshang Wang, Anxiang Zeng

AAAI 2021 Global Fusion Attention for Vision and Language Understanding (Student Abstract) Zixin Guo, Chen Liang, Ziyu Wan, Yang Bai

CVPR 2021 VSPW: A Large-Scale Dataset for Video Scene Parsing in the Wild Jiaxu Miao, Yunchao Wei, Yu Wu, Chen Liang, Guangrui Li, Yi Yang

ICML 2020 AutoML-Zero: Evolving Machine Learning Algorithms from Scratch Esteban Real, Chen Liang, David So, Quoc Le

NeurIPS 2020 Compositional Generalization via Neural-Symbolic Stack Machines Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou

ICLR 2020 Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension Xinyun Chen, Chen Liang, Adams Wei Yu, Denny Zhou, Dawn Song, Quoc V. Le

NeurIPS 2020 PyGlove: Symbolic Programming for Automated Machine Learning Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Gabriel Bender, Hanxiao Liu, Adam Kraft, Chen Liang, Quoc V. Le

AAAI 2019 DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization Jiaxin Shi, Chen Liang, Lei Hou, Juanzi Li, Zhiyuan Liu, Hanwang Zhang

ICML 2019 Learning to Generalize from Sparse and Underspecified Rewards Rishabh Agarwal, Chen Liang, Dale Schuurmans, Mohammad Norouzi

ICLRW 2019 Neural Program Planner for Structured Predictions Jacob Biloki, Chen Liang, Ni Lao

AAAI 2019 Robust Online Matching with User Arrival Distribution Drift Yu-Hang Zhou, Chen Liang, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin

ICML 2019 The Evolved Transformer David So, Quoc Le, Chen Liang

AAAI 2018 Investigating Active Learning for Concept Prerequisite Learning Chen Liang, Jianbo Ye, Shuting Wang, Bart Pursel, C. Lee Giles

NeurIPS 2018 Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing Chen Liang, Mohammad Norouzi, Jonathan Berant, Quoc V Le, Ni Lao

AAAI 2017 Definition Modeling: Learning to Define Word Embeddings in Natural Language Thanapon Noraset, Chen Liang, Larry Birnbaum, Doug Downey

CVPR 2017 Multi-Scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild Dafang He, Xiao Yang, Chen Liang, Zihan Zhou, Alexander G. Ororbi Ii, Daniel Kifer, C. Lee Giles

AAAI 2017 Recovering Concept Prerequisite Relations from University Course Dependencies Chen Liang, Jianbo Ye, Zhaohui Wu, Bart Pursel, C. Lee Giles

AAAI 2016 BBookX: Building Online Open Books for Personalized Learning Chen Liang, Shuting Wang, Zhaohui Wu, Kyle Williams, Bart Pursel, Benjamin Bräutigam, Sherwyn Saul, Hannah Williams, Kyle Bowen, C. Lee Giles

IJCAI 2016 Learning Paraphrase Identification with Structural Alignment Chen Liang, Praveen K. Paritosh, Vinodh Rajendran, Kenneth D. Forbus

AAAI 2015 A Neural Probabilistic Model for Context Based Citation Recommendation Wenyi Huang, Zhaohui Wu, Chen Liang, Prasenjit Mitra, C. Lee Giles

AAAI 2015 Learning Plausible Inferences from Semantic Web Knowledge by Combining Analogical Generalization with Structured Logistic Regression Chen Liang, Kenneth D. Forbus

CVPR 2005 Complex 3D Shape Recovery Using a Dual-Space Approach Chen Liang, Kwan-Yee Kenneth Wong