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2020 – today
- 2021
[j34]Wenge Liu, Jianheng Tang, Xiaodan Liang, Qingling Cai:
Heterogeneous graph reasoning for knowledge-grounded medical dialogue system. Neurocomputing 442: 260-268 (2021)- [j33]Bingqian Lin, Yi Zhu, Xiaodan Liang:
Heterogeneous Excitation-and-Squeeze Network for visual dialog. Neurocomputing 449: 399-410 (2021) - [j32]Qingxing Cao
, Xiaodan Liang, Bailin Li, Liang Lin:
Interpretable Visual Question Answering by Reasoning on Dependency Trees. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 887-901 (2021) - [j31]Yukai Shi, Sen Zhang, Chenxing Zhou, Xiaodan Liang, Xiaojun Yang, Liang Lin:
GTAE: Graph Transformer-Based Auto-Encoders for Linguistic-Constrained Text Style Transfer. ACM Trans. Intell. Syst. Technol. 12(3): 32:1-32:16 (2021) - [j30]Guangyi Liu, Yinghong Liao, Fuyu Wang, Bin Zhang, Lu Zhang, Xiaodan Liang, Xiang Wan, Shaolin Li, Zhen Li, Shuixing Zhang, Shuguang Cui:
Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning. IEEE Trans. Neural Networks Learn. Syst. 32(9): 3786-3797 (2021) - [c124]Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang:
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation. AAAI 2021: 3333-3341 - [c123]Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang:
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement. AAAI 2021: 6375-6383 - [c122]Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin:
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. AAAI 2021: 13362-13370 - [c121]Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin:
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition. AAAI 2021: 14112-14120 - [c120]Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin:
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning. ACL/IJCNLP (Findings) 2021: 513-523 - [c119]Zheng Ye, Liucun Lu, Lishan Huang, Liang Lin, Xiaodan Liang:
Towards Quantifiable Dialogue Coherence Evaluation. ACL/IJCNLP (1) 2021: 2718-2729 - [c118]Jinghui Qin, Xiaodan Liang, Yining Hong, Jianheng Tang, Liang Lin:
Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks. ACL/IJCNLP (1) 2021: 5870-5881 - [c117]Pan Lu, Ran Gong, Shibiao Jiang, Liang Qiu, Siyuan Huang, Xiaodan Liang, Song-Chun Zhu:
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning. ACL/IJCNLP (1) 2021: 6774-6786 - [c116]Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li:
TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search. CVPR 2021: 5251-5260 - [c115]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
Dynamic Slimmable Network. CVPR 2021: 8607-8617 - [c114]Fengda Zhu, Xiwen Liang, Yi Zhu, Qizhi Yu, Xiaojun Chang, Xiaodan Liang:
SOON: Scenario Oriented Object Navigation With Graph-Based Exploration. CVPR 2021: 12689-12699 - [c113]Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang:
UPDeT: Universal Multi-agent RL via Policy Decoupling with Transformers. ICLR 2021 - [c112]Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li:
Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search. ICLR 2021 - [c111]Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James Tin-Yau Kwok:
SparseBERT: Rethinking the Importance Analysis in Self-attention. ICML 2021: 9547-9557 - [c110]Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin:
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. ICRA 2021: 9490-9497 - [c109]Zhenyu Xie, Xujie Zhang, Fuwei Zhao, Haoye Dong, Michael C. Kampffmeyer, Haonan Yan, Xiaodan Liang:
WAS-VTON: Warping Architecture Search for Virtual Try-on Network. ACM Multimedia 2021: 3350-3359 - [c108]Yinya Huang, Meng Fang, Yu Cao, Liwei Wang, Xiaodan Liang:
DAGN: Discourse-Aware Graph Network for Logical Reasoning. NAACL-HLT 2021: 5848-5855 - [i141]Fuyu Wang, Xiaodan Liang, Lin Xu, Liang Lin:
Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition. CoRR abs/2101.03287 (2021) - [i140]Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang:
UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers. CoRR abs/2101.08001 (2021) - [i139]Liang Lin, Yiming Gao, Ke Gong, Meng Wang, Xiaodan Liang:
Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer. CoRR abs/2101.10620 (2021) - [i138]Yukai Shi, Sen Zhang, Chenxing Zhou, Xiaodan Liang, Xiaojun Yang, Liang Lin:
GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer. CoRR abs/2102.00769 (2021) - [i137]Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li:
Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search. CoRR abs/2102.04700 (2021) - [i136]Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James T. Kwok:
SparseBERT: Rethinking the Importance Analysis in Self-attention. CoRR abs/2102.12871 (2021) - [i135]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:
A Data-Centric Framework for Composable NLP Workflows. CoRR abs/2103.01834 (2021) - [i134]Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang:
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. CoRR abs/2103.12424 (2021) - [i133]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
Dynamic Slimmable Network. CoRR abs/2103.13258 (2021) - [i132]Yinya Huang, Meng Fang, Yu Cao, Liwei Wang, Xiaodan Liang:
DAGN: Discourse-Aware Graph Network for Logical Reasoning. CoRR abs/2103.14349 (2021) - [i131]Fengda Zhu, Xiwen Liang, Yi Zhu, Xiaojun Chang, Xiaodan Liang:
SOON: Scenario Oriented Object Navigation with Graph-based Exploration. CoRR abs/2103.17138 (2021) - [i130]Pan Lu, Ran Gong, Shibiao Jiang, Liang Qiu, Siyuan Huang, Xiaodan Liang, Song-Chun Zhu:
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning. CoRR abs/2105.04165 (2021) - [i129]Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li:
TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search. CoRR abs/2105.11871 (2021) - [i128]Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin:
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning. CoRR abs/2105.14517 (2021) - [i127]Zheng Ye, Liucun Lu, Lishan Huang, Liang Lin, Xiaodan Liang:
Towards Quantifiable Dialogue Coherence Evaluation. CoRR abs/2106.00507 (2021) - [i126]Chong Liu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang, Yi-Dong Shen:
Vision-Language Navigation with Random Environmental Mixup. CoRR abs/2106.07876 (2021) - [i125]Shuai Lin, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang:
Prototypical Graph Contrastive Learning. CoRR abs/2106.09645 (2021) - [i124]Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu, Chunjing Xu:
One Million Scenes for Autonomous Driving: ONCE Dataset. CoRR abs/2106.11037 (2021) - [i123]Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu:
SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving. CoRR abs/2106.11118 (2021) - [i122]Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Zhen Li, Bowen Zhou, Shuguang Cui, Zhiting Hu:
Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation. CoRR abs/2106.15078 (2021) - [i121]Jinghui Qin, Xiaodan Liang, Yining Hong, Jianheng Tang, Liang Lin:
Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks. CoRR abs/2107.01431 (2021) - [i120]Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li:
AutoBERT-Zero: Evolving BERT Backbone from Scratch. CoRR abs/2107.07445 (2021) - [i119]Bingqian Lin, Yi Zhu, Yanxin Long, Xiaodan Liang, Qixiang Ye, Liang Lin:
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation. CoRR abs/2107.11252 (2021) - [i118]Xunlin Zhan, Yangxin Wu, Xiao Dong, Yunchao Wei, Minlong Lu, Yichi Zhang, Hang Xu, Xiaodan Liang:
Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-modal Pretraining. CoRR abs/2107.14572 (2021) - [i117]Zhenyu Xie, Xujie Zhang, Fuwei Zhao, Haoye Dong, Michael C. Kampffmeyer, Haonan Yan, Xiaodan Liang:
WAS-VTON: Warping Architecture Search for Virtual Try-on Network. CoRR abs/2108.00386 (2021) - [i116]Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li:
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models. CoRR abs/2108.03434 (2021) - [i115]Fengda Zhu, Yi Zhu, Xiaodan Liang, Xiaojun Chang:
Deep Learning for Embodied Vision Navigation: A Survey. CoRR abs/2108.04097 (2021) - [i114]Guangyi Liu, Yinghong Liao, Fuyu Wang, Bin Zhang, Lu Zhang, Xiaodan Liang, Xiang Wan, Shaolin Li, Zhen Li, Shuixing Zhang, Shuguang Cui:
Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning. CoRR abs/2108.05067 (2021) - [i113]Fuwei Zhao, Zhenyu Xie, Michael Kampffmeyer, Haoye Dong, Songfang Han, Tianxiang Zheng, Tao Zhang, Xiaodan Liang:
M3D-VTON: A Monocular-to-3D Virtual Try-On Network. CoRR abs/2108.05126 (2021) - [i112]Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin:
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. CoRR abs/2108.09671 (2021) - [i111]Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu:
Voxel Transformer for 3D Object Detection. CoRR abs/2109.02497 (2021) - [i110]Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu:
Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. CoRR abs/2109.02499 (2021) - [i109]Xiao Dong, Xunlin Zhan, Yangxin Wu, Yunchao Wei, Xiaoyong Wei, Minlong Lu, Xiaodan Liang:
M5Product: A Multi-modal Pretraining Benchmark for E-commercial Product Downstream Tasks. CoRR abs/2109.04275 (2021) - [i108]Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang:
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. CoRR abs/2109.07222 (2021) - [i107]Guolin Zheng, Yubei Xiao, Ke Gong, Pan Zhou, Xiaodan Liang, Liang Lin:
Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition. CoRR abs/2109.09161 (2021) - [i106]Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang:
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers. CoRR abs/2109.10060 (2021) - 2020
- [j29]Liling Sun, Wendi Sun, Xiaodan Liang, Maowei He, Hanning Chen:
A modified surrogate-assisted multi-swarm artificial bee colony for complex numerical optimization problems. Microprocess. Microsystems 76: 103050 (2020) - [j28]Xiaojun Chang, Xiaodan Liang, Yan Yan, Liqiang Nie:
Guest editorial: Image/video understanding and analysis. Pattern Recognit. Lett. 130: 1-3 (2020) - [j27]Yujia Zhang, Xiaodan Liang, Dingwen Zhang, Min Tan, Eric P. Xing:
Unsupervised object-level video summarization with online motion auto-encoder. Pattern Recognit. Lett. 130: 376-385 (2020) - [j26]Hanjiang Lai, Jikai Chen, Libing Geng, Yan Pan, Xiaodan Liang, Jian Yin:
Improving Deep Binary Embedding Networks by Order-Aware Reweighting of Triplets. IEEE Trans. Circuits Syst. Video Technol. 30(4): 1162-1172 (2020) - [c107]Jinghui Qin, Zheng Ye, Jianheng Tang, Xiaodan Liang:
Dynamic Knowledge Routing Network for Target-Guided Open-Domain Conversation. AAAI 2020: 8657-8664 - [c106]Chenhan Jiang, Shaoju Wang, Xiaodan Liang, Hang Xu, Nong Xiao:
ElixirNet: Relation-Aware Network Architecture Adaptation for Medical Lesion Detection. AAAI 2020: 11093-11100 - [c105]Hang Xu, Linpu Fang, Xiaodan Liang, Wenxiong Kang, Zhenguo Li:
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN. AAAI 2020: 12492-12499 - [c104]Lewei Yao, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li:
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection. AAAI 2020: 12661-12668 - [c103]Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang:
Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. CVPR 2020: 1986-1995 - [c102]Haoye Dong, Xiaodan Liang, Yixuan Zhang, Xujie Zhang, Xiaohui Shen, Zhenyu Xie, Bowen Wu, Jian Yin:
Fashion Editing With Adversarial Parsing Learning. CVPR 2020: 8117-8125 - [c101]Yangxin Wu, Gengwei Zhang, Yiming Gao, Xiajun Deng, Ke Gong, Xiaodan Liang, Liang Lin:
Bidirectional Graph Reasoning Network for Panoptic Segmentation. CVPR 2020: 9077-9086 - [c100]Fengda Zhu, Yi Zhu, Xiaojun Chang, Xiaodan Liang:
Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks. CVPR 2020: 10009-10019 - [c99]Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang:
Vision-Dialog Navigation by Exploring Cross-Modal Memory. CVPR 2020: 10727-10736 - [c98]Chenhan Jiang, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li:
SP-NAS: Serial-to-Parallel Backbone Search for Object Detection. CVPR 2020: 11860-11869 - [c97]Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li:
CATCH: Context-Based Meta Reinforcement Learning for Transferrable Architecture Search. ECCV (19) 2020: 185-202 - [c96]Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li:
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending. ECCV (15) 2020: 689-704 - [c95]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:
A Data-Centric Framework for Composable NLP Workflows. EMNLP (Demos) 2020: 197-204 - [c94]Shuai Lin, Wentao Wang, Zichao Yang, Xiaodan Liang, Frank F. Xu, Eric P. Xing, Zhiting Hu:
Record-to-Text Generation with Style Imitation. EMNLP (Findings) 2020: 1589-1598 - [c93]Jinghui Qin, Lihui Lin, Xiaodan Liang, Rumin Zhang, Liang Lin:
Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems. EMNLP (1) 2020: 3780-3789 - [c92]Lishan Huang, Zheng Ye, Jinghui Qin, Liang Lin, Xiaodan Liang:
GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems. EMNLP (1) 2020: 9230-9240 - [c91]Gang Liu, Ke Gong, Xiaodan Liang, Zhiguang Chen:
CP-GAN: Context Pyramid Generative Adversarial Network for Speech Enhancement. ICASSP 2020: 6624-6628 - [c90]Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin:
Grammatically Recognizing Images with Tree Convolution. KDD 2020: 903-912 - [c89]Hao Zhang, Yuan Li, Zhijie Deng, Xiaodan Liang, Lawrence Carin, Eric P. Xing:
AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning. NeurIPS 2020 - [c88]Yangxin Wu, Gengwei Zhang, Hang Xu, Xiaodan Liang, Liang Lin:
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation. NeurIPS 2020 - [c87]Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang:
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables. NeurIPS 2020 - [i105]Jinghui Qin, Zheng Ye, Jianheng Tang, Xiaodan Liang:
Dynamic Knowledge Routing Network For Target-Guided Open-Domain Conversation. CoRR abs/2002.01196 (2020) - [i104]Hang Xu, Linpu Fang, Xiaodan Liang, Wenxiong Kang, Zhenguo Li:
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN. CoRR abs/2002.07417 (2020) - [i103]Junfan Lin, Ziliang Chen, Xiaodan Liang, Keze Wang, Liang Lin:
Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis. CoRR abs/2003.06534 (2020) - [i102]Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang:
Vision-Dialog Navigation by Exploring Cross-modal Memory. CoRR abs/2003.06745 (2020) - [i101]Chenhan Jiang, Shaoju Wang, Hang Xu, Xiaodan Liang, Nong Xiao:
ElixirNet: Relation-aware Network Architecture Adaptation for Medical Lesion Detection. CoRR abs/2003.08770 (2020) - [i100]Qingxing Cao, Xiaodan Liang, Keze Wang, Liang Lin:
Linguistically Driven Graph Capsule Network for Visual Question Reasoning. CoRR abs/2003.10065 (2020) - [i99]Yangxin Wu, Gengwei Zhang, Yiming Gao, Xiajun Deng, Ke Gong, Xiaodan Liang, Liang Lin:
Bidirectional Graph Reasoning Network for Panoptic Segmentation. CoRR abs/2004.06272 (2020) - [i98]Mingjie Li, Fuyu Wang, Xiaojun Chang, Xiaodan Liang:
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation. CoRR abs/2006.03744 (2020) - [i97]Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li:
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search. CoRR abs/2007.09380 (2020) - [i96]Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li:
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending. CoRR abs/2007.12147 (2020) - [i95]Lishan Huang, Zheng Ye, Jinghui Qin, Liang Lin, Xiaodan Liang:
GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems. CoRR abs/2010.03994 (2020) - [i94]Jinghui Qin, Lihui Lin, Xiaodan Liang, Rumin Zhang, Liang Lin:
Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems. CoRR abs/2010.06823 (2020) - [i93]Wenge Liu, Jianheng Tang, Jinghui Qin, Lin Xu, Zhen Li, Xiaodan Liang:
MedDG: A Large-scale Medical Consultation Dataset for Building Medical Dialogue System. CoRR abs/2010.07497 (2020) - [i92]Hanlin Zhang, Shuai Lin, Weiyang Liu, Pan Zhou, Jian Tang, Xiaodan Liang, Eric P. Xing:
Iterative Graph Self-Distillation. CoRR abs/2010.12609 (2020) - [i91]Yangxin Wu, Gengwei Zhang, Hang Xu, Xiaodan Liang, Liang Lin:
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation. CoRR abs/2010.16119 (2020) - [i90]Wangchunshu Zhou, Jinyi Hu, Hanlin Zhang, Xiaodan Liang, Maosong Sun, Chenyan Xiong, Jian Tang:
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables. CoRR abs/2011.05268 (2020) - [i89]Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing:
Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels. CoRR abs/2011.14164 (2020) - [i88]Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin:
Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. CoRR abs/2011.14487 (2020) - [i87]Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang:
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation. CoRR abs/2012.03603 (2020) - [i86]Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin:
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. CoRR abs/2012.07192 (2020) - [i85]Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin:
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition. CoRR abs/2012.11896 (2020) - [i84]Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin:
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. CoRR abs/2012.11988 (2020) - [i83]Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang, Liang Lin:
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement. CoRR abs/2012.13185 (2020)
2010 – 2019
- 2019
- [j25]Chaochun Yuan, Hanning Chen, Jie Shen, Na Lin, Weixing Su, Fang Liu, Xiaodan Liang:
Indicator-based multi-objective adaptive bacterial foraging algorithm for RFID network planning. Clust. Comput. 22(5): 12649-12657 (2019) - [j24]Yujia Zhang, Michael Kampffmeyer, Xiaodan Liang, Dingwen Zhang, Min Tan, Eric P. Xing:
Dilated temporal relational adversarial network for generic video summarization. Multim. Tools Appl. 78(24): 35237-35261 (2019) - [j23]Xiaodan Liang, Ke Gong, Xiaohui Shen, Liang Lin:
Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 871-885 (2019) - [j22]Maowei He, Yabao Hu, Hanning Chen, Liling Sun, Xiaoxuan Wang, Weixing Su, Fang Liu, Xiaodan Liang, Lianbo Ma:
Lifecycle coevolution framework for many evolutionary and swarm intelligence algorithms fusion in solving complex optimization problems. Swarm Evol. Comput. 47: 3-20 (2019) - [j21]Michael Kampffmeyer, Nanqing Dong, Xiaodan Liang, Yujia Zhang, Eric P. Xing:
ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation. IEEE Trans. Image Process. 28(5): 2518-2529 (2019) - [c86]Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing:
Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation. AAAI 2019: 6666-6673 - [c85]Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin:
End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis. AAAI 2019: 7346-7353 - [c84]Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing:
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. ACL (3) 2019: 159-164 - [c83]Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu:
Target-Guided Open-Domain Conversation. ACL (1) 2019: 5624-5634 - [c82]Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin:
Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks. CVPR 2019: 2248-2257 - [c81]Weijiang Yu, Xiaodan Liang, Ke Gong, Chenhan Jiang, Nong Xiao, Liang Lin:
Layout-Graph Reasoning for Fashion Landmark Detection. CVPR 2019: 2937-2945 - [c80]Hang Xu, Chenhan Jiang, Xiaodan Liang, Liang Lin, Zhenguo Li:
Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection. CVPR 2019: 6419-6428 - [c79]Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin:
Graphonomy: Universal Human Parsing via Graph Transfer Learning. CVPR 2019: 7450-7459 - [c78]Xiaodan Liang:
Learning Personalized Modular Network Guided by Structured Knowledge. CVPR 2019: 8944-8952 - [c77]