Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDLiang Lin
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j130]Zhaohuan Zhan, Liang Lin, Guang Tan:
Object-aware navigation for remote embodied visual referring expression. Neurocomputing 515: 68-78 (2023)- [j129]Tao Pu, Mingzhan Sun, Hefeng Wu, Tianshui Chen, Ling Tian, Liang Lin:
Semantic representation and dependency learning for multi-label image recognition. Neurocomputing 526: 121-130 (2023) - [j128]Kuo Wang
, Lingbo Liu, Yang Liu, Guanbin Li, Fan Zhou, Liang Lin:
Urban regional function guided traffic flow prediction. Inf. Sci. 634: 308-320 (2023) - [j127]Lingbo Liu, Yuying Zhu, Guanbin Li, Ziyi Wu, Lei Bai, Liang Lin:
Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3574-3589 (2023) - [j126]Yiming Gao, Zhanghui Kuang, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang:
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7019-7034 (2023) - [j125]Changxin Huang, Guangrun Wang, Zhibo Zhou, Ronghui Zhang, Liang Lin:
Reward-Adaptive Reinforcement Learning: Dynamic Policy Gradient Optimization for Bipedal Locomotion. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7686-7695 (2023) - [j124]Yuying Zhu, Yang Zhang, Lingbo Liu, Yang Liu, Guanbin Li, Mingzhi Mao, Liang Lin:
Hybrid-Order Representation Learning for Electricity Theft Detection. IEEE Trans. Ind. Informatics 19(2): 1248-1259 (2023) - [j123]Pengxu Wei, Ziwei Xie, Guanbin Li, Liang Lin:
Taylor Neural Network for Real-World Image Super-Resolution. IEEE Trans. Image Process. 32: 1942-1951 (2023) - [j122]Yongsen Zheng, Pengxu Wei, Ziliang Chen, Yang Cao, Liang Lin:
Graph-Convolved Factorization Machines for Personalized Recommendation. IEEE Trans. Knowl. Data Eng. 35(2): 1567-1580 (2023) - [i225]Ziyi Tang, Ruimao Zhang, Zhanglin Peng, Jinrui Chen, Liang Lin:
Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-identification. CoRR abs/2301.00531 (2023) - [i224]Zhijing Yang, Junyang Chen, Yukai Shi, Hao Li, Tianshui Chen, Liang Lin:
OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup. CoRR abs/2301.00965 (2023) - [i223]Bingqian Lin, Yi Zhu, Xiaodan Liang, Liang Lin, Jianzhuang Liu:
Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation. CoRR abs/2302.06072 (2023) - [i222]Zhongzhan Huang, Mingfu Liang, Liang Lin:
On Robust Numerical Solver for ODE via Self-Attention Mechanism. CoRR abs/2302.10184 (2023) - [i221]Yao Xiao, Ziyi Tang, Pengxu Wei, Cong Liu, Liang Lin:
Masked Images Are Counterfactual Samples for Robust Fine-tuning. CoRR abs/2303.03052 (2023) - [i220]Weixing Chen, Yang Liu, Ce Wang, Guanbin Li, Jiarui Zhu, Liang Lin:
Visual-Linguistic Causal Intervention for Radiology Report Generation. CoRR abs/2303.09117 (2023) - [i219]Kuo Wang, Lingbo Liu, Yang Liu, Guanbin Li, Fan Zhou, Liang Lin:
Urban Regional Function Guided Traffic Flow Prediction. CoRR abs/2303.09789 (2023) - [i218]Junyang Chen, Xiaoyu Xian, Zhijing Yang, Tianshui Chen, Yongyi Lu, Yukai Shi, Jinshan Pan, Liang Lin:
Open-World Pose Transfer via Sequential Test-Time Adaption. CoRR abs/2303.10945 (2023) - [i217]ShanShan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, Liang Lin:
ASR: Attention-alike Structural Re-parameterization. CoRR abs/2304.06345 (2023) - [i216]Yang Liu, Guanbin Li, Liang Lin:
Causality-aware Visual Scene Discovery for Cross-Modal Question Reasoning. CoRR abs/2304.08083 (2023) - [i215]Yang Wu, Zhibin Liu, Hefeng Wu, Liang Lin:
Multi-object Video Generation from Single Frame Layouts. CoRR abs/2305.03983 (2023) - [i214]Yushen Wei, Yang Liu, Hong Yan, Guanbin Li, Liang Lin:
Visual Causal Scene Refinement for Video Question Answering. CoRR abs/2305.04224 (2023) - [i213]ShanShan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, Liang Lin:
SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models. CoRR abs/2305.05189 (2023) - [i212]Weizhi Zhong, Chaowei Fang, Yinqi Cai, Pengxu Wei, Gangming Zhao, Liang Lin, Guanbin Li:
Identity-Preserving Talking Face Generation with Landmark and Appearance Priors. CoRR abs/2305.08293 (2023) - 2022
- [j121]Yang Liu, Yushen Wei, Hong Yan, Guanbin Li, Liang Lin:
Causal Reasoning Meets Visual Representation Learning: A Prospective Study. Int. J. Autom. Comput. 19(6): 485-511 (2022) - [j120]Xiaojun Yang, Siyuan Li, Ke Liang, Feiping Nie, Liang Lin:
Structured graph optimization for joint spectral embedding and clustering. Neurocomputing 503: 62-72 (2022) - [j119]Xiaojun Yang, Guoquan Lin, Yijun Liu, Feiping Nie, Liang Lin:
Fast Spectral Embedded Clustering Based on Structured Graph Learning for Large-Scale Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j118]Lin Nie, Tianshui Chen, Zhouxia Wang, Wenxiong Kang, Liang Lin:
Multi-label image recognition with attentive transformer-localizer module. Multim. Tools Appl. 81(6): 7917-7940 (2022) - [j117]Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu:
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1371-1384 (2022) - [j116]Hongjun Wang, Guanbin Li, Xiaobai Liu, Liang Lin:
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1725-1737 (2022) - [j115]Liang Lin, Yiming Gao, Ke Gong, Meng Wang, Xiaodan Liang:
Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2504-2518 (2022) - [j114]Bingqian Lin, Yi Zhu, Yanxin Long, Xiaodan Liang, Qixiang Ye, Liang Lin:
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7175-7189 (2022) - [j113]Jiangxin Dong, Jinshan Pan, Jimmy S. Ren, Liang Lin, Jinhui Tang, Ming-Hsuan Yang:
Learning Spatially Variant Linear Representation Models for Joint Filtering. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8355-8370 (2022) - [j112]Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Lingbo Liu, Liang Lin:
Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9887-9903 (2022) - [j111]Fuyu Wang, Xiaodan Liang, Lin Xu, Liang Lin:
Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition. IEEE Trans. Cybern. 52(6): 5015-5025 (2022) - [j110]Yang Liu, Keze Wang, Lingbo Liu, Haoyuan Lan, Liang Lin:
TCGL: Temporal Contrastive Graph for Self-Supervised Video Representation Learning. IEEE Trans. Image Process. 31: 1978-1993 (2022) - [j109]Lingbo Liu, Jingwen Chen, Hefeng Wu, Jiajie Zhen, Guanbin Li, Liang Lin:
Physical-Virtual Collaboration Modeling for Intra- and Inter-Station Metro Ridership Prediction. IEEE Trans. Intell. Transp. Syst. 23(4): 3377-3391 (2022) - [j108]Liang Lin, Pengxiang Yan, Xiaoqian Xu, Sibei Yang, Kun Zeng, Guanbin Li:
Structured Attention Network for Referring Image Segmentation. IEEE Trans. Multim. 24: 1922-1932 (2022) - [j107]Yi Zhu, Xiwen Liang, Bingqian Lin, Qixiang Ye, Jianbin Jiao, Liang Lin, Xiaodan Liang:
Configurable Graph Reasoning for Visual Relationship Detection. IEEE Trans. Neural Networks Learn. Syst. 33(1): 117-129 (2022) - [j106]Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin:
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2758-2767 (2022) - [j105]Guangrun Wang, Liang Lin, Rongcong Chen, Guangcong Wang, Jiqi Zhang:
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5401-5415 (2022) - [c212]Tianshui Chen, Tao Pu, Hefeng Wu, Yuan Xie, Liang Lin:
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels. AAAI 2022: 339-346 - [c211]Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin:
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. AAAI 2022: 2091-2098 - [c210]Pengxiang Yan, Ziyi Wu, Mengmeng Liu, Kun Zeng, Liang Lin, Guanbin Li:
Unsupervised Domain Adaptive Salient Object Detection through Uncertainty-Aware Pseudo-Label Learning. AAAI 2022: 3000-3008 - [c209]Zeng Lu, Tao Pu, Tianshui Chen, Liang Lin:
Content-Aware Hierarchical Representation Selection for Cross-View Geo-Localization. ACCV (5) 2022: 267-280 - [c208]Xiaoqian Xu, Pengxu Wei, Weikai Chen, Yang Liu, Mingzhi Mao, Liang Lin, Guanbin Li:
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution. CVPR 2022: 5657-5666 - [c207]Binbin Yang, Xinchi Deng, Han Shi, Changlin Li, Gengwei Zhang, Hang Xu, Shen Zhao, Liang Lin, Xiaodan Liang:
Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism. CVPR 2022: 9245-9254 - [c206]Guangrun Wang, Yansong Tang, Liang Lin, Philip H. S. Torr:
Semantic-Aware Auto-Encoders for Self-supervised Representation Learning. CVPR 2022: 9654-9665 - [c205]Ziyi Dong, Pengxu Wei, Liang Lin:
Adversarially-Aware Robust Object Detector. ECCV (9) 2022: 297-313 - [c204]Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Liang Lin, Xiaodan Liang:
LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning. EMNLP (Findings) 2022: 1-13 - [c203]Jiaqi Chen, Tong Li, Jinghui Qin, Pan Lu, Liang Lin, Chongyu Chen, Xiaodan Liang:
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression. EMNLP 2022: 3313-3323 - [c202]Junying Huang, Fan Chen, Keze Wang, Liang Lin, Dongyu Zhang:
Enhancing Prototypical Few-Shot Learning By Leveraging The Local-Level Strategy. ICASSP 2022: 1660-1664 - [c201]Zhengtao Wu, Lingbo Liu, Yang Zhang, Mingzhi Mao, Liang Lin, Guanbin Li:
Multimodal Crowd Counting with Mutual Attention Transformers. ICME 2022: 1-6 - [c200]Binbin Yang, Junhao Zhong, Pengxu Wei, Dongyu Zhang, Liang Lin:
Cross-Domain Action Recognition via Prototypical Graph Alignment. ICME 2022: 1-6 - [c199]Jingyu Zhuang, Ziliang Chen, Pengxu Wei, Guanbin Li, Liang Lin:
Discovering Implicit Classes Achieves Open Set Domain Adaptation. ICME 2022: 1-6 - [c198]Kuo Wang, Yuxiang Nie, Chaowei Fang, Chengzhi Han, Xuewen Wu, Xiaohui Wang, Liang Lin, Fan Zhou, Guanbin Li:
Double-Check Soft Teacher for Semi-Supervised Object Detection. IJCAI 2022: 1430-1436 - [c197]Tianxin Huang, Lingjun Zhao, Zeyang Dai, Liang Lin, Huakun Huang:
Privacy Preserving CSI Fingerprint Device-Free Localization. ML4CS (1) 2022: 27-39 - [c196]Xipeng Chen, Guangrun Wang, Dizhong Zhu, Xiaodan Liang, Philip H. S. Torr, Liang Lin:
Structure-Preserving 3D Garment Modeling with Neural Sewing Machines. NeurIPS 2022 - [c195]Ziyi Zhang, Weikai Chen, Hui Cheng, Zhen Li, Siyuan Li, Liang Lin, Guanbin Li:
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning. NeurIPS 2022 - [i211]Pengxiang Yan, Ziyi Wu, Mengmeng Liu, Kun Zeng, Liang Lin, Guanbin Li:
Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning. CoRR abs/2202.13170 (2022) - [i210]Tao Pu, Tianshui Chen, Hefeng Wu, Liang Lin:
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. CoRR abs/2203.02172 (2022) - [i209]Jingyu Zhuang, Ziliang Chen, Pengxu Wei, Guanbin Li, Liang Lin:
Open Set Domain Adaptation By Novel Class Discovery. CoRR abs/2203.03329 (2022) - [i208]Tao Pu, Lixian Yuan, Hefeng Wu, Tianshui Chen, Ling Tian, Liang Lin:
Semantic Representation and Dependency Learning for Multi-Label Image Recognition. CoRR abs/2204.03795 (2022) - [i207]Yang Liu, Yushen Wei, Hong Yan, Guanbin Li, Liang Lin:
Causal Reasoning with Spatial-temporal Representation Learning: A Prospective Study. CoRR abs/2204.12037 (2022) - [i206]Haoyuan Lan, Yang Liu, Liang Lin:
Audio-Visual Contrastive Learning for Self-supervised Action Recognition. CoRR abs/2204.13386 (2022) - [i205]Binbin Yang, Xinchi Deng, Han Shi, Changlin Li, Gengwei Zhang, Hang Xu, Shen Zhao, Liang Lin, Xiaodan Liang:
Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism. CoRR abs/2205.03055 (2022) - [i204]Xiaoqian Xu, Pengxu Wei, Weikai Chen, Mingzhi Mao, Liang Lin, Guanbin Li:
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution. CoRR abs/2205.03524 (2022) - [i203]Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Liang Lin, Xiaodan Liang:
LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning. CoRR abs/2205.08232 (2022) - [i202]Tianshui Chen, Tao Pu, Lingbo Liu, Yukai Shi, Zhijing Yang, Liang Lin:
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels. CoRR abs/2205.11131 (2022) - [i201]Tao Pu, Tianshui Chen, Hefeng Wu, Yongyi Lu, Liang Lin:
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. CoRR abs/2205.13092 (2022) - [i200]Hao Li, Jinghui Qin, Zhijing Yang, Pengxu Wei, Jinshan Pan, Liang Lin, Yukai Shi:
Real-World Image Super-Resolution by Exclusionary Dual-Learning. CoRR abs/2206.02609 (2022) - [i199]Yinya Huang, Lemao Liu, Kun Xu, Meng Fang, Liang Lin, Xiaodan Liang:
Discourse-Aware Graph Networks for Textual Logical Reasoning. CoRR abs/2207.01450 (2022) - [i198]Ziyi Dong, Pengxu Wei, Liang Lin:
Adversarially-Aware Robust Object Detector. CoRR abs/2207.06202 (2022) - [i197]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin:
The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network. CoRR abs/2207.07858 (2022) - [i196]Yang Liu, Guanbin Li, Liang Lin:
Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering. CoRR abs/2207.12647 (2022) - [i195]Jiutao Yue, Haofeng Li, Pengxu Wei, Guanbin Li, Liang Lin:
Robust Real-World Image Super-Resolution against Adversarial Attacks. CoRR abs/2208.00428 (2022) - [i194]Zhongzhan Huang, Senwei Liang, Hong Zhang, Haizhao Yang, Liang Lin:
Accelerating Numerical Solvers for Large-Scale Simulation of Dynamical System via NeurVec. CoRR abs/2208.03680 (2022) - [i193]Junfan Lin, Jianlong Chang, Lingbo Liu, Guanbin Li, Liang Lin, Qi Tian, Chang Wen Chen:
OhMG: Zero-shot Open-vocabulary Human Motion Generation. CoRR abs/2210.15929 (2022) - [i192]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Weiling He, Liang Lin:
Layer-wise Shared Attention Network on Dynamical System Perspective. CoRR abs/2210.16101 (2022) - [i191]Ziyi Zhang, Weikai Chen, Hui Cheng, Zhen Li, Siyuan Li, Liang Lin, Guanbin Li:
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning. CoRR abs/2211.06612 (2022) - [i190]Xipeng Chen, Guangrun Wang, Dizhong Zhu, Xiaodan Liang, Philip H. S. Torr, Liang Lin:
Structure-Preserving 3D Garment Modeling with Neural Sewing Machines. CoRR abs/2211.06701 (2022) - [i189]Tao Pu, Qianru Lao, Hefeng Wu, Tianshui Chen, Liang Lin:
Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels. CoRR abs/2211.07846 (2022) - [i188]Ziyi Dong, Pengxu Wei, Liang Lin:
DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Contrastive Prompt-Tuning. CoRR abs/2211.11337 (2022) - [i187]Jiaqi Chen, Tong Li, Jinghui Qin, Pan Lu, Liang Lin, Chongyu Chen, Xiaodan Liang:
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression. CoRR abs/2212.02746 (2022) - 2021
- [j104]Guanbin Li, Pengxiang Yan, Yuan Xie, Guisheng Wang, Liang Lin, Yizhou Yu:
Instance-level salient object segmentation. Comput. Vis. Image Underst. 207: 103207 (2021) - [j103]Ziliang Chen, Pengxu Wei, Jingyu Zhuang, Guanbin Li, Liang Lin:
Deep CockTail Networks. Int. J. Comput. Vis. 129(8): 2328-2351 (2021) - [j102]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) - [j101]Haofeng Li, Guanbin Li, Binbin Yang, Guanqi Chen, Liang Lin, Yizhou Yu:
Depthwise Nonlocal Module for Fast Salient Object Detection Using a Single Thread. IEEE Trans. Cybern. 51(12): 6188-6199 (2021) - [j100]Yang Liu, Keze Wang, Guanbin Li, Liang Lin:
Semantics-Aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition. IEEE Trans. Image Process. 30: 5573-5588 (2021) - [j99]Yiming Gao, Zhanghui Kuang, Guanbin Li, Wayne Zhang, Liang Lin:
Hierarchical Reasoning Network for Human-Object Interaction Detection. IEEE Trans. Image Process. 30: 8306-8317 (2021) - [j98]Bowen Wu, Zhenyu Xie, Xiaodan Liang, Yubei Xiao, Haoye Dong, Liang Lin:
Image Comes Dancing With Collaborative Parsing-Flow Video Synthesis. IEEE Trans. Image Process. 30: 9259-9269 (2021) - [j97]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) - [j96]Lingbo Liu, Jiajie Zhen, Guanbin Li, Geng Zhan, Zhaocheng He, Bowen Du, Liang Lin:
Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 22(11): 7169-7183 (2021) - [j95]Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Guangchun Luo, Liang Lin:
Fine-Grained Image Captioning With Global-Local Discriminative Objective. IEEE Trans. Multim. 23: 2413-2427 (2021) - [j94]Junpeng Tan, Yukai Shi, Zhijing Yang, Caizhen Wen, Liang Lin:
Unsupervised Multi-View Clustering by Squeezing Hybrid Knowledge From Cross View and Each View. IEEE Trans. Multim. 23: 2943-2956 (2021) - [j93]Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, Zhengtao Yu, Liang Lin:
Weakly Supervised Person Re-ID: Differentiable Graphical Learning and a New Benchmark. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2142-2156 (2021) - [j92]Changxin Huang, Ronghui Zhang, Meizi Ouyang, Pengxu Wei, Junfan Lin, Jiang Su, Liang Lin:
Deductive Reinforcement Learning for Visual Autonomous Urban Driving Navigation. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5379-5391 (2021) - [c194]Xipeng Chen, Pengxu Wei, Liang Lin:
Deductive Learning for Weakly-Supervised 3D Human Pose Estimation via Uncalibrated Cameras. AAAI 2021: 1089-1096 - [c193]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 - [c192]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 - [c191]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 - [c190]Zheng Ye, Liucun Lu, Lishan Huang, Liang Lin, Xiaodan Liang:
Towards Quantifiable Dialogue Coherence Evaluation. ACL/IJCNLP (1) 2021: 2718-2729 - [c189]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 - [c188]Lingbo Liu, Jiaqi Chen, Hefeng Wu, Guanbin Li, Chenglong Li, Liang Lin:
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting. CVPR 2021: 4823-4833 - [c187]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. EMNLP (Findings) 2021: 2765-2777 - [c186]Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin:
Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering. ICCV 2021: 1594-1603 - [c185]Junkai Huang, Chaowei Fang, Weikai Chen, Zhenhua Chai, Xiaolin Wei, Pengxu Wei, Liang Lin, Guanbin Li:
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning. ICCV 2021: 8290-8299 - [c184]Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin:
Solving Inefficiency of Self-supervised Representation Learning. ICCV 2021: 9485-9495 - [c183]Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin:
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. ICCV 2021: 12334-12344 - [c182]Yi-Bin Cheng, Xipeng Chen, Junhong Chen, Pengxu Wei, Dongyu Zhang, Liang Lin:
Hierarchical Transformer: Unsupervised Representation Learning for Skeleton-Based Human Action Recognition. ICME 2021: 1-6 - [c181]Binbin Yang, Xiaodan Liang, Junhao Zhong, Jiefeng Peng, Guangrun Wang, Liang Lin:
Unifying Dynamic Optimizer Search and Network Architecture Search. ICME 2021: 1-6 - [c180]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 - [c179]