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GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning


Jun 08, 2021
Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin

* Accepted to Findings of ACL 2021 

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Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning


Jun 01, 2021
Pan Lu, Ran Gong, Shibiao Jiang, Liang Qiu, Siyuan Huang, Xiaodan Liang, Song-Chun Zhu

* Accepted to ACL 2021, 13 pages, 6 figures 

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Towards Quantifiable Dialogue Coherence Evaluation


Jun 01, 2021
Zheng Ye, Liucun Lu, Lishan Huang, Liang Lin, Xiaodan Liang

* Long paper; ACL2021 

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TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search


May 25, 2021
Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li

* Published at CVPR 2021. 8 pages main paper, 13 pages in total 

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DAGN: Discourse-Aware Graph Network for Logical Reasoning


Apr 08, 2021
Yinya Huang, Meng Fang, Yu Cao, Liwei Wang, Xiaodan Liang

* Accepted by NAACL 2021 

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SOON: Scenario Oriented Object Navigation with Graph-based Exploration


Mar 31, 2021
Fengda Zhu, Xiwen Liang, Yi Zhu, Xiaojun Chang, Xiaodan Liang


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BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search


Mar 24, 2021
Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang

* Our searched hybrid CNN-transformer models achieve up to 82.2% accuracy on ImageNet, surpassing EfficientNet by 2.1% with comparable compute time 

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Dynamic Slimmable Network


Mar 24, 2021
Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang

* Accepted to CVPR 2021 as an Oral Presentation 

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A Data-Centric Framework for Composable NLP Workflows


Mar 03, 2021
Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu

* 8 pages, 4 figures, EMNLP 2020 

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SparseBERT: Rethinking the Importance Analysis in Self-attention


Feb 25, 2021
Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James T. Kwok


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Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search


Feb 09, 2021
Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li

* Accepted by ICLR2021 Poster 

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UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers


Feb 07, 2021
Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang

* 15 pages, 8 figures 

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GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer


Feb 01, 2021
Yukai Shi, Sen Zhang, Chenxing Zhou, Xiaodan Liang, Xiaojun Yang, Liang Lin

* The first two authors share equal-authorship; Code:https://github.com/SenZHANG-GitHub/graph-text-style-transfer ; benchmark: https://github.com/ykshi/text-style-transfer-benchmark 

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Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer


Jan 26, 2021
Liang Lin, Yiming Gao, Ke Gong, Meng Wang, Xiaodan Liang

* To appear in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (T-PAMI) 2021. We propose a graph reasoning and transfer learning framework, which incorporates human knowledge and label taxonomy into the intermediate graph representation learning beyond local convolutions. arXiv admin note: substantial text overlap with arXiv:1904.04536 

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Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition


Jan 09, 2021
Fuyu Wang, Xiaodan Liang, Lin Xu, Liang Lin

* To appear in IEEE Transactions on Cybernetics 2021. We attempt to resolve the challenging medical report composition task by i) enforcing the semantic consistency of medical terms to be incorporated into the final reports; and ii) encouraging the sentence generation for rare abnormal descriptions 

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REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement


Jan 03, 2021
Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang, Liang Lin

* Accepted by AAAI 2021 

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Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition


Dec 23, 2020
Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin

* accepted in AAAI2021 

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Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation


Dec 22, 2020
Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin

* Accepted by AAAI 2021 

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Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding


Dec 14, 2020
Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin

* To appear in TNNLS 2021. Considering that a desirable VQA model should correctly perceive the image context, understand the question, and incorporate its learned knowledge, our proposed dataset aims to cutoff the shortcut learning exploited by the current deep embedding models and push the research boundary of the knowledge-based visual question reasoning 

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Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation


Dec 07, 2020
Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang

* Accepted by AAAI2021 

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Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp


Nov 30, 2020
Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin


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Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels


Nov 28, 2020
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing


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Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation


Oct 30, 2020
Yangxin Wu, Gengwei Zhang, Hang Xu, Xiaodan Liang, Liang Lin

* NeurIPS2020 

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