Xiaodan Liang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
225
Venues
21
Active years
2015–2026
Best venue rank
A*
Where they publish
- A*CVPR56 papers
- A*ICCV36 papers
- A*AAAI27 papers
- A*ECCV22 papers
- A*ICLR17 papers
- A*EMNLP15 papers
- A*ACL14 papers
- ANAACL6 papers
- A*ICML5 papers
- AMICCAI4 papers
- ABMVC4 papers
- MulticonferenceICASSP3 papers
- AWACV3 papers
- A*IJCAI3 papers
- AIROS2 papers
- A*ICRA2 papers
- A*KDD2 papers
- ACIKM1 paper
- BICPR1 paper
- BICIP1 paper
- AUSENIX1 paper
Papers
225 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models. | Meng Cao, Pengfei Hu, Yingyao Wang, Jihao Gu, Haoran Tang, Haoze Zhao, Chen Wang, Jiahua Dong, Wangbo Yu, Ge Zhang, Xiang Li, Ian Reid, Xiaodan Liang |
| 2026 | AAAI | Video Spatial Reasoning with Object-Centric 3D Rollout. | Haoran Tang, Meng Cao, Ruyang Liu, Xiaoxi Liang, Linglong Li, Ge Li, Xiaodan Liang |
| 2026 | AAAI | X-SAM: From Segment Anything to Any Segmentation. | Hao Wang, Limeng Qiao, Zequn Jie, Zhijian Huang, Chengjian Feng, Qingfang Zheng, Lin Ma, Xiangyuan Lan, Xiaodan Liang |
| 2025 | AAAI | Affordances-Oriented Planning Using Foundation Models for Continuous Vision-Language Navigation. | Jiaqi Chen, Bingqian Lin, Xinmin Liu, Lin Ma, Xiaodan Liang, Kwan-Yee K. Wong |
| 2025 | AAAI | DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder. | Ente Lin, Xujie Zhang, Fuwei Zhao, Yuxuan Luo, Xin Dong, Long Zeng, Xiaodan Liang |
| 2025 | AAAI | MUSE: Mamba Is Efficient Multi-scale Learner for Text-video Retrieval. | Haoran Tang, Meng Cao, Jinfa Huang, Ruyang Liu, Peng Jin, Ge Li, Xiaodan Liang |
| 2025 | AAAI | BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving. | Tao Tang, Dafeng Wei, Zhengyu Jia, Tian Gao, Changwei Cai, Chengkai Hou, Peng Jia, Kun Zhan, Haiyang Sun, Jingchen Fan, Yixing Zhao, Xiaodan Liang, Xianpeng Lang, Yang Wang |
| 2025 | ACL | ORMind: A Cognitive-Inspired End-to-End Reasoning Framework for Operations Research. | Zhiyuan Wang, Bokui Chen, Yinya Huang, Qingxing Cao, Ming He, Jianping Fan, Xiaodan Liang |
| 2025 | CVPR | RoomTour3D: Geometry-Aware Video-Instruction Tuning for Embodied Navigation. | Mingfei Han, Liang Ma, Kamila Zhumakhanova, Ekaterina Radionova, Jingyi Zhang, Xiaojun Chang, Xiaodan Liang, Ivan Laptev |
| 2025 | CVPR | EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions. | Kai Chen, Yunhao Gou, Runhui Huang, Zhili Liu, Daxin Tan, Jing Xu, Chunwei Wang, Yi Zhu, Yihan Zeng, Kuo Yang, Dingdong Wang, Kun Xiang, Haoyuan Li, Haoli Bai, Jianhua Han, Xiaohui Li, Weike Jin, Nian Xie, Yu Zhang, James T. Kwok, Hengshuang Zhao, Xiaodan Liang, Dit-Yan Yeung, Xiao Chen, Zhenguo Li, Wei Zhang, Qun Liu, Lanqing Hong, Lu Hou, Hang Xu |
| 2025 | CVPR | HiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language Models. | Runhui Huang, Xinpeng Ding, Chunwei Wang, Jianhua Han, Yulong Liu, Hengshuang Zhao, Hang Xu, Lu Hou, Wei Zhang, Xiaodan Liang |
| 2025 | CVPR | FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model. | Jun Zhou, Jiahao Li, Zunnan Xu, Hanhui Li, Yiji Cheng, Fa-Ting Hong, Qin Lin, Qinglin Lu, Xiaodan Liang |
| 2025 | EMNLP | Structured Preference Optimization for Vision-Language Long-Horizon Task Planning. | Xiwen Liang, Min Lin, Weiqi Ruan, Rongtao Xu, Yuecheng Liu, Jiaqi Chen, Bingqian Lin, Yuzheng Zhuang, Xiaodan Liang |
| 2025 | ICASSP | EasyControl: Adding Control to Video Diffusion for Controllable Video Generation and Interpolation. | Cong Wang, Jiaxi Gu, Panwen Hu, Xiao Dong, Yuanfan Guo, Hang Xu, Xiaodan Liang |
| 2025 | ICASSP | DreamVideo: High-Fidelity Image-to-Video Generation with Image Retention and Text Guidance. | Cong Wang, Jiaxi Gu, Panwen Hu, Yuanfan Guo, Xiao Dong, Hang Xu, Xiaodan Liang |
| 2025 | ICCV | RoboTron-Drive: All-in-One Large Multimodal Model for Autonomous Driving. | Zhijian Huang, Chengjian Feng, Feng Yan, Baihui Xiao, Zequn Jie, Yujie Zhong, Xiaodan Liang, Lin Ma |
| 2025 | ICCV | RoboPearls: Editable Video Simulation for Robot Manipulation. | Tang Tao, Likui Zhang, Youpeng Wen, Kaidong Zhang, Jia-Wang Bian, Xia Zhou, Tianyi Yan, Kun Zhan, Peng Jia, Hefeng Wu, Liang Lin, Xiaodan Liang |
| 2025 | ICCV | $A_{0}$: An Affordance-Aware Hierarchical Model for General Robotic Manipulation. | Rongtao Xu, Jian Zhang, Minghao Guo, Youpeng Wen, Haoting Yang, Min Lin, Jianzheng Huang, Zhe Li, Kaidong Zhang, Liqiong Wang, Yuxuan Kuang, Meng Cao, Feng Zheng, Xiaodan Liang |
| 2025 | ICCV | RoBridge: A Hierarchical Architecture Bridging Cognition and Execution for General Robotic Manipulation. | Kaidong Zhang, Rongtao Xu, Pengzhen Ren, Junfan Lin, Hefeng Wu, Liang Lin, Xiaodan Liang |
| 2025 | ICLR | Sitcom-Crafter: A Plot-Driven Human Motion Generation System in 3D Scenes. | Jianqi Chen, Panwen Hu, Xiaojun Chang, Zhenwei Shi, Michael Kampffmeyer, Xiaodan Liang |
| 2025 | ICLR | CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models. | Zheng Chong, Xiao Dong, Haoxiang Li, Shiyue Zhang, Wenqing Zhang, Hanqing Zhao, Xujie Zhang, Dongmei Jiang, Xiaodan Liang |
| 2025 | ICLR | GDrag: Towards General-Purpose Interactive Editing with Anti-ambiguity Point Diffusion. | Xiaojian Lin, Hanhui Li, Yuhao Cheng, Yiqiang Yan, Xiaodan Liang |
| 2025 | ICLR | UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting. | Haoyuan Li, Yanpeng Zhou, Tao Tang, Jifei Song, Yihan Zeng, Michael Kampffmeyer, Hang Xu, Xiaodan Liang |
| 2025 | ICLR | PT-T2I/V: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Image/Video-Task. | Jing Wang, Ao Ma, Jiasong Feng, Dawei Leng, Yuhui Yin, Xiaodan Liang |
| 2025 | ICLR | OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling. | Zhicheng Yang, Yiwei Wang, Yinya Huang, Zhijiang Guo, Wei Shi, Xiongwei Han, Liang Feng, Linqi Song, Xiaodan Liang, Jing Tang |
| 2025 | ICML | S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking. | Tao Tang, Lijun Zhou, Pengkun Hao, Zihang He, Kalok Ho, Shuo Gu, Zhihui Hao, Haiyang Sun, Kun Zhan, Peng Jia, Xianpeng Lang, Xiaodan Liang |
| 2025 | IROS | 3D-MoRe: Unified Modal-Contextual Reasoning for Embodied Question Answering. | Rongtao Xu, Han Gao, Mingming Yu, Dong An, Shunpeng Chen, Changwei Wang, Li Guo, Xiaodan Liang, Shibiao Xu |
| 2025 | ICRA | Complementary Information Guided Occupancy Prediction via Multi-Level Representation Fusion. | Rongtao Xu, Jinzhou Lin, Jialei Zhou, Jiahua Dong, Changwei Wang, Ruisheng Wang, Li Guo, Shibiao Xu, Xiaodan Liang |
| 2025 | NAACL | DialogGen: Multi-modal Interactive Dialogue System with Multi-turn Text-Image Generation. | Minbin Huang, Yanxin Long, Xinchi Deng, Ruihang Chu, Jiangfeng Xiong, Xiaodan Liang, Hong Cheng, Qinglin Lu, Wei Liu |
| 2025 | NAACL | Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data. | Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li, Hong Cheng, Kenji Kawaguchi |
| 2025 | WACV | Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models. | Sanoojan Baliah, Qinliang Lin, Shengcai Liao, Xiaodan Liang, Muhammad Haris Khan |
| 2025 | WACV | DisCo: Discovering Common Affordance from Large Models for Actionable Part Perception. | Youpeng Wen, Yi Zhu, Zhihao Zhan, Pengzhen Ren, Jianhua Han, Hang Xu, Shen Zhao, Xiaodan Liang |
| 2024 | AAAI | 3D Visibility-Aware Generalizable Neural Radiance Fields for Interacting Hands. | Xuan Huang, Hanhui Li, Zejun Yang, Zhisheng Wang, Xiaodan Liang |
| 2024 | AAAI | Monocular 3D Hand Mesh Recovery via Dual Noise Estimation. | Hanhui Li, Xiaojian Lin, Xuan Huang, Zejun Yang, Zhisheng Wang, Xiaodan Liang |
| 2024 | AAAI | PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping. | Luoyang Lin, Zutao Jiang, Xiaodan Liang, Liqian Ma, Michael C. Kampffmeyer, Xiaochun Cao |
| 2024 | AAAI | Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model. | Zhenyu Xie, Yang Wu, Xuehao Gao, Zhongqian Sun, Wei Yang, Xiaodan Liang |
| 2024 | ACL | VisDiaHalBench: A Visual Dialogue Benchmark For Diagnosing Hallucination in Large Vision-Language Models. | Qingxing Cao, Junhao Cheng, Xiaodan Liang, Liang Lin |
| 2024 | ACL | RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter. | Meng Cao, Haoran Tang, Jinfa Huang, Peng Jin, Can Zhang, Ruyang Liu, Long Chen, Xiaodan Liang, Li Yuan, Ge Li |
| 2024 | ACL | MapGPT: Map-Guided Prompting with Adaptive Path Planning for Vision-and-Language Navigation. | Jiaqi Chen, Bingqian Lin, Ran Xu, Zhenhua Chai, Xiaodan Liang, Kwan-Yee Kenneth Wong |
| 2024 | ACL | CLOMO: Counterfactual Logical Modification with Large Language Models. | Yinya Huang, Ruixin Hong, Hongming Zhang, Wei Shao, Zhicheng Yang, Dong Yu, Changshui Zhang, Xiaodan Liang, Linqi Song |
| 2024 | ACL | CorNav: Autonomous Agent with Self-Corrected Planning for Zero-Shot Vision-and-Language Navigation. | Xiwen Liang, Liang Ma, Shanshan Guo, Jianhua Han, Hang Xu, Shikui Ma, Xiaodan Liang |
| 2024 | CIKM | APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation. | Yuxuan Hu, Minghuan Tan, Chenwei Zhang, Zixuan Li, Xiaodan Liang, Min Yang, Chengming Li, Xiping Hu |
| 2024 | CVPR | Holistic Autonomous Driving Understanding by Bird'View Injected Multi-Modal Large Models. | Xinpeng Ding, Jianhua Han, Hang Xu, Xiaodan Liang, Wei Zhang, Xiaomeng Li |
| 2024 | CVPR | MLP Can Be a Good Transformer Learner. | Sihao Lin, Pumeng Lyu, Dongrui Liu, Tao Tang, Xiaodan Liang, Andy Song, Xiaojun Chang |
| 2024 | CVPR | AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis. | Tang Tao, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang |
| 2024 | CVPR | DetCLIPv3: Towards Versatile Generative Open-Vocabulary Object Detection. | Lewei Yao, Renjie Pi, Jianhua Han, Xiaodan Liang, Hang Xu, Wei Zhang, Zhenguo Li, Dan Xu |
| 2024 | ECCV | HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-Fine Pose-Reversible Guidance. | Guian Fang, Wenbiao Yan, Yuanfan Guo, Jianhua Han, Zutao Jiang, Hang Xu, Shengcai Liao, Xiaodan Liang |
| 2024 | ECCV | LayerDiff: Exploring Text-Guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model. | Runhui Huang, Kaixin Cai, Jianhua Han, Xiaodan Liang, Renjing Pei, Guansong Lu, Songcen Xu, Wei Zhang, Hang Xu |
| 2024 | ECCV | Making Large Language Models Better Planners with Reasoning-Decision Alignment. | Zhijian Huang, Tao Tang, Shaoxiang Chen, Sihao Lin, Zequn Jie, Lin Ma, Guangrun Wang, Xiaodan Liang |
| 2024 | ECCV | Contrastive Learning with Counterfactual Explanations for Radiology Report Generation. | Mingjie Li, Haokun Lin, Liang Qiu, Xiaodan Liang, Ling Chen, Abdulmotaleb Elsaddik, Xiaojun Chang |
| 2024 | ECCV | GarmentAligner: Text-to-Garment Generation via Retrieval-Augmented Multi-level Corrections. | Shiyue Zhang, Zheng Chong, Xujie Zhang, Hanhui Li, Yuhao Cheng, Yiqiang Yan, Xiaodan Liang |
| 2024 | EMNLP | AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations. | Zhicheng Yang, Yinya Huang, Jing Xiong, Liang Feng, Xiaodan Liang, Yiwei Wang, Jing Tang |
| 2024 | ICLR | MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data. | Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin, Haiming Wang, Zhenguo Li, Linqi Song, Xiaodan Liang |
| 2024 | ICLR | Ins-DetCLIP: Aligning Detection Model to Follow Human-Language Instruction. | Renjie Pi, Lewei Yao, Jianhua Han, Xiaodan Liang, Wei Zhang, Hang Xu |
| 2024 | ICLR | LEGO-Prover: Neural Theorem Proving with Growing Libraries. | Haiming Wang, Huajian Xin, Chuanyang Zheng, Zhengying Liu, Qingxing Cao, Yinya Huang, Jing Xiong, Han Shi, Enze Xie, Jian Yin, Zhenguo Li, Xiaodan Liang |
| 2024 | ICLR | DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning. | Jing Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo, Yichun Yin, Enze Xie, Zhicheng Yang, Qingxing Cao, Haiming Wang, Xiongwei Han, Jing Tang, Chengming Li, Xiaodan Liang |
| 2024 | ICPR | Learning to Generalize Unseen Domains via Multi-source Meta Learning for Text Classification. | Yuxuan Hu, Chenwei Zhang, Min Yang, Xiaodan Liang, Chengming Li, Xiping Hu |
| 2024 | NAACL | ATG: Benchmarking Automated Theorem Generation for Generative Language Models. | Xiaohan Lin, Qingxing Cao, Yinya Huang, Zhicheng Yang, Zhengying Liu, Zhenguo Li, Xiaodan Liang |
| 2023 | AAAI | NLIP: Noise-Robust Language-Image Pre-training. | Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang |
| 2023 | AAAI | 3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation. | Zutao Jiang, Guansong Lu, Xiaodan Liang, Jihua Zhu, Wei Zhang, Xiaojun Chang, Hang Xu |
| 2023 | AAAI | Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation. | Bingqian Lin, Yi Zhu, Xiaodan Liang, Liang Lin, Jianzhuang Liu |
| 2023 | ACL | DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function. | Haiming Wang, Ye Yuan, Zhengying Liu, Jianhao Shen, Yichun Yin, Jing Xiong, Enze Xie, Han Shi, Yujun Li, Lin Li, Jian Yin, Zhenguo Li, Xiaodan Liang |
| 2023 | CVPR | Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation. | Mingjie Li, Bingqian Lin, Zicong Chen, Haokun Lin, Xiaodan Liang, Xiaojun Chang |
| 2023 | CVPR | Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving. | Xiwen Liang, Minzhe Niu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang |
| 2023 | CVPR | CapDet: Unifying Dense Captioning and Open-World Detection Pretraining. | Yanxin Long, Youpeng Wen, Jianhua Han, Hang Xu, Pengzhen Ren, Wei Zhang, Shen Zhao, Xiaodan Liang |
| 2023 | CVPR | Learning to Segment Every Referring Object Point by Point. | Mengxue Qu, Yu Wu, Yunchao Wei, Wu Liu, Xiaodan Liang, Yao Zhao |
| 2023 | CVPR | GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning. | Zhenyu Xie, Zaiyu Huang, Xin Dong, Fuwei Zhao, Haoye Dong, Xijin Zhang, Feida Zhu, Xiaodan Liang |
| 2023 | CVPR | DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment. | Lewei Yao, Jianhua Han, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Hang Xu |
| 2023 | CVPR | Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection. | Kaicheng Yu, Tang Tao, Hongwei Xie, Zhiwei Lin, Tingting Liang, Bing Wang, Peng Chen, Dayang Hao, Yongtao Wang, Xiaodan Liang |
| 2023 | CVPR | CLIP | Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu |
| 2023 | EMNLP | Composable Text Controls in Latent Space with ODEs. | Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu |
| 2023 | EMNLP | TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models. | Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu |
| 2023 | ICCV | MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation. | Kaixin Cai, Pengzhen Ren, Yi Zhu, Hang Xu, Jianzhuang Liu, Changlin Li, Guangrun Wang, Xiaodan Liang |
| 2023 | ICCV | GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training. | Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James T. Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang |
| 2023 | ICCV | DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability. | Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu |
| 2023 | ICCV | FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration. | Zhijian Huang, Sihao Lin, Guiyu Liu, Mukun Luo, Chaoqiang Ye, Hang Xu, Xiaojun Chang, Xiaodan Liang |
| 2023 | ICCV | Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos. | Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael C. Kampffmeyer, Liang Lin, Xiaodan Liang |
| 2023 | ICCV | LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. | Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin |
| 2023 | ICCV | Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images. | Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li, Zongben Xu, Songcen Xu, Wei Zhang, Hang Xu |
| 2023 | ICCV | DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment. | Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang |
| 2023 | ICCV | CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation. | Hongguang Zhu, Yunchao Wei, Xiaodan Liang, Chunjie Zhang, Yao Zhao |
| 2023 | ICLR | Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning. | Jiahui Gao, Renjie Pi, Yong Lin, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong |
| 2023 | ICLR | ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency. | Pengzhen Ren, Changlin Li, Hang Xu, Yi Zhu, Guangrun Wang, Jianzhuang Liu, Xiaojun Chang, Xiaodan Liang |
| 2023 | IJCAI | Vision Language Navigation with Knowledge-driven Environmental Dreamer. | Fengda Zhu, Vincent CS Lee, Xiaojun Chang, Xiaodan Liang |
| 2022 | AAAI | AutoBERT-Zero: Evolving BERT Backbone from Scratch. | Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li |
| 2022 | AAAI | Laneformer: Object-Aware Row-Column Transformers for Lane Detection. | Jianhua Han, Xiajun Deng, Xinyue Cai, Zhen Yang, Hang Xu, Chunjing Xu, Xiaodan Liang |
| 2022 | AAAI | Contrastive Instruction-Trajectory Learning for Vision-Language Navigation. | Xiwen Liang, Fengda Zhu, Yi Zhu, Bingqian Lin, Bing Wang, Xiaodan Liang |
| 2022 | ACL | Visual-Language Navigation Pretraining via Prompt-based Environmental Self-exploration. | Xiwen Liang, Fengda Zhu, Lingling Li, Hang Xu, Xiaodan Liang |
| 2022 | CVPR | M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining. | Xiao Dong, Xunlin Zhan, Yangxin Wu, Yunchao Wei, Michael C. Kampffmeyer, Xiaoyong Wei, Minlong Lu, Yaowei Wang, Xiaodan Liang |
| 2022 | CVPR | Dressing in the Wild by Watching Dance Videos. | Xin Dong, Fuwei Zhao, Zhenyu Xie, Xijin Zhang, Daniel K. Du, Min Zheng, Xiang Long, Xiaodan Liang, Jianchao Yang |
| 2022 | CVPR | Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search. | Minbin Huang, Zhijian Huang, Changlin Li, Xin Chen, Hang Xu, Zhenguo Li, Xiaodan Liang |
| 2022 | CVPR | Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation. | Mingjie Li, Wenjia Cai, Karin Verspoor, Shirui Pan, Xiaodan Liang, Xiaojun Chang |
| 2022 | CVPR | ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts. | Bingqian Lin, Yi Zhu, Zicong Chen, Xiwen Liang, Jianzhuang Liu, Xiaodan Liang |
| 2022 | CVPR | Knowledge Distillation via the Target-aware Transformer. | Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang |
| 2022 | CVPR | Automated Progressive Learning for Efficient Training of Vision Transformers. | Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang |
| 2022 | CVPR | Beyond Fixation: Dynamic Window Visual Transformer. | Pengzhen Ren, Changlin Li, Guangrun Wang, Yun Xiao, Qing Du, Xiaodan Liang, Xiaojun Chang |
| 2022 | CVPR | Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism. | Binbin Yang, Xinchi Deng, Han Shi, Changlin Li, Gengwei Zhang, Hang Xu, Shen Zhao, Liang Lin, Xiaodan Liang |
| 2022 | CVPR | BodyGAN: General-purpose Controllable Neural Human Body Generation. | Chaojie Yang, Hanhui Li, Shengjie Wu, Shengkai Zhang, Haonan Yan, Nianhong Jiao, Jie Tang, Runnan Zhou, Xiaodan Liang, Tianxiang Zheng |
| 2022 | ECCV | CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. | Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu |
| 2022 | ECCV | Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding. | Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang |
| 2022 | ECCV | SiRi: A Simple Selective Retraining Mechanism for Transformer-Based Visual Grounding. | Mengxue Qu, Yu Wu, Wu Liu, Qiqi Gong, Xiaodan Liang, Olga Russakovsky, Yao Zhao, Yunchao Wei |
| 2022 | EMNLP | RelCLIP: Adapting Language-Image Pretraining for Visual Relationship Detection via Relational Contrastive Learning. | Yi Zhu, Zhaoqing Zhu, Bingqian Lin, Xiaodan Liang, Feng Zhao, Jianzhuang Liu |
| 2022 | EMNLP | Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning. | Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng |
| 2022 | EMNLP | UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression. | Jiaqi Chen, Tong Li, Jinghui Qin, Pan Lu, Liang Lin, Chongyu Chen, Xiaodan Liang |
| 2022 | EMNLP | MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure. | Yinya Huang, Hongming Zhang, Ruixin Hong, Xiaodan Liang, Changshui Zhang, Dong Yu |
| 2022 | EMNLP | LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning. | Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Liang Lin, Xiaodan Liang |
| 2022 | ICLR | Revisiting Over-smoothing in BERT from the Perspective of Graph. | Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James T. Kwok |
| 2022 | ICLR | FILIP: Fine-grained Interactive Language-Image Pre-Training. | Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu |
| 2022 | ICML | Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL. | Siyi Hu, Chuanlong Xie, Xiaodan Liang, Xiaojun Chang |
| 2022 | IJCAI | "My nose is running." "Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics. | Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang |
| 2022 | NAACL | Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation. | Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Junwei Bao, Zhen Li, Xiaodong He, Shuguang Cui, Zhiting Hu |
| 2022 | NAACL | Unbiased Math Word Problems Benchmark for Mitigating Solving Bias. | Zhicheng Yang, Jinghui Qin, Jiaqi Chen, Xiaodan Liang |
| 2021 | AAAI | REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement. | Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang |
| 2021 | AAAI | Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. | Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin |
| 2021 | AAAI | Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition. | Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin |
| 2021 | AAAI | Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation. | Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang |
| 2021 | ACL | GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning. | Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin |
| 2021 | ACL | Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning. | Pan Lu, Ran Gong, Shibiao Jiang, Liang Qiu, Siyuan Huang, Xiaodan Liang, Song-Chun Zhu |
| 2021 | ACL | Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks. | Jinghui Qin, Xiaodan Liang, Yining Hong, Jianheng Tang, Liang Lin |
| 2021 | ACL | Towards Quantifiable Dialogue Coherence Evaluation. | Zheng Ye, Liucun Lu, Lishan Huang, Liang Lin, Xiaodan Liang |
| 2021 | CVPR | TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search. | Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li |
| 2021 | CVPR | Dynamic Slimmable Network. | Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang |
| 2021 | CVPR | SOON: Scenario Oriented Object Navigation With Graph-Based Exploration. | Fengda Zhu, Xiwen Liang, Yi Zhu, Qizhi Yu, Xiaojun Chang, Xiaodan Liang |
| 2021 | EMNLP | EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. | Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang |
| 2021 | EMNLP | Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition. | Guolin Zheng, Yubei Xiao, Ke Gong, Pan Zhou, Xiaodan Liang, Liang Lin |
| 2021 | ICCV | Vision-Language Navigation with Random Environmental Mixup. | Chong Liu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang, Zongyuan Ge, Yi-Dong Shen |
| 2021 | ICCV | Self-Motivated Communication Agent for Real-World Vision-Dialog Navigation. | Yi Zhu, Yue Weng, Fengda Zhu, Xiaodan Liang, Qixiang Ye, Yutong Lu, Jianbin Jiao |
| 2021 | ICCV | Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering. | Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin |
| 2021 | ICCV | Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection. | Hanxue Liang, Chenhan Jiang, Dapeng Feng, Xin Chen, Hang Xu, Xiaodan Liang, Wei Zhang, Zhenguo Li, Luc Van Gool |
| 2021 | ICCV | BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. | Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang |
| 2021 | ICCV | Exploring Inter-Channel Correlation for Diversity-preserved Knowledge Distillation. | Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Xiaodan Liang |
| 2021 | ICCV | Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. | Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu |
| 2021 | ICCV | Voxel Transformer for 3D Object Detection. | Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu |
| 2021 | ICCV | Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. | Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin |
| 2021 | ICCV | NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models. | Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li |
| 2021 | ICCV | UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model. | Haonan Yan, Jiaqi Chen, Xujie Zhang, Shengkai Zhang, Nianhong Jiao, Xiaodan Liang, Tianxiang Zheng |
| 2021 | ICCV | Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-Modal Pretraining. | Xunlin Zhan, Yangxin Wu, Xiao Dong, Yunchao Wei, Minlong Lu, Yichi Zhang, Hang Xu, Xiaodan Liang |
| 2021 | ICCV | M3D-VTON: A Monocular-to-3D Virtual Try-On Network. | Fuwei Zhao, Zhenyu Xie, Michael Kampffmeyer, Haoye Dong, Songfang Han, Tianxiang Zheng, Tao Zhang, Xiaodan Liang |
| 2021 | ICLR | UPDeT: Universal Multi-agent RL via Policy Decoupling with Transformers. | Siyi Hu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang |
| 2021 | ICLR | Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search. | Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li |
| 2021 | ICML | SparseBERT: Rethinking the Importance Analysis in Self-attention. | Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James Tin-Yau Kwok |
| 2021 | ICRA | Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. | Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin |
| 2021 | NAACL | DAGN: Discourse-Aware Graph Network for Logical Reasoning. | Yinya Huang, Meng Fang, Yu Cao, Liwei Wang, Xiaodan Liang |
| 2020 | AAAI | ElixirNet: Relation-Aware Network Architecture Adaptation for Medical Lesion Detection. | Chenhan Jiang, Shaoju Wang, Xiaodan Liang, Hang Xu, Nong Xiao |
| 2020 | AAAI | Dynamic Knowledge Routing Network for Target-Guided Open-Domain Conversation. | Jinghui Qin, Zheng Ye, Jianheng Tang, Xiaodan Liang |
| 2020 | AAAI | Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN. | Hang Xu, Linpu Fang, Xiaodan Liang, Wenxiong Kang, Zhenguo Li |
| 2020 | AAAI | SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection. | Lewei Yao, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li |
| 2020 | CVPR | Vision-Dialog Navigation by Exploring Cross-Modal Memory. | Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang |
| 2020 | CVPR | Fashion Editing With Adversarial Parsing Learning. | Haoye Dong, Xiaodan Liang, Yixuan Zhang, Xujie Zhang, Xiaohui Shen, Zhenyu Xie, Bowen Wu, Jian Yin |
| 2020 | CVPR | SP-NAS: Serial-to-Parallel Backbone Search for Object Detection. | Chenhan Jiang, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li |
| 2020 | CVPR | Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. | Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang |
| 2020 | CVPR | Bidirectional Graph Reasoning Network for Panoptic Segmentation. | Yangxin Wu, Gengwei Zhang, Yiming Gao, Xiajun Deng, Ke Gong, Xiaodan Liang, Liang Lin |
| 2020 | CVPR | Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks. | Fengda Zhu, Yi Zhu, Xiaojun Chang, Xiaodan Liang |
| 2020 | ECCV | CATCH: Context-Based Meta Reinforcement Learning for Transferrable Architecture Search. | Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li |
| 2020 | ECCV | CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending. | Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li |
| 2020 | EMNLP | GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems. | Lishan Huang, Zheng Ye, Jinghui Qin, Liang Lin, Xiaodan Liang |
| 2020 | EMNLP | Record-to-Text Generation with Style Imitation. | Shuai Lin, Wentao Wang, Zichao Yang, Xiaodan Liang, Frank F. Xu, Eric P. Xing, Zhiting Hu |
| 2020 | EMNLP | A Data-Centric Framework for Composable NLP Workflows. | 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 |
| 2020 | EMNLP | Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems. | Jinghui Qin, Lihui Lin, Xiaodan Liang, Rumin Zhang, Liang Lin |
| 2020 | ICASSP | CP-GAN: Context Pyramid Generative Adversarial Network for Speech Enhancement. | Gang Liu, Ke Gong, Xiaodan Liang, Zhiguang Chen |
| 2020 | KDD | Grammatically Recognizing Images with Tree Convolution. | Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin |
| 2019 | AAAI | Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation. | Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric P. Xing |
| 2019 | AAAI | End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis. | Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin |
| 2019 | ACL | Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. | 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 |
| 2019 | ACL | Target-Guided Open-Domain Conversation. | Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu |
| 2019 | CVPR | Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks. | Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin |
| 2019 | CVPR | Graphonomy: Universal Human Parsing via Graph Transfer Learning. | Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin |
| 2019 | CVPR | Rethinking Knowledge Graph Propagation for Zero-Shot Learning. | Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing |
| 2019 | CVPR | Learning Personalized Modular Network Guided by Structured Knowledge. | Xiaodan Liang |
| 2019 | CVPR | Spatial-Aware Graph Relation Network for Large-Scale Object Detection. | Hang Xu, Chenhan Jiang, Xiaodan Liang, Zhenguo Li |
| 2019 | CVPR | Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection. | Hang Xu, Chenhan Jiang, Xiaodan Liang, Liang Lin, Zhenguo Li |
| 2019 | CVPR | Layout-Graph Reasoning for Fashion Landmark Detection. | Weijiang Yu, Xiaodan Liang, Ke Gong, Chenhan Jiang, Nong Xiao, Liang Lin |
| 2019 | ICCV | FW-GAN: Flow-Navigated Warping GAN for Video Virtual Try-On. | Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bowen Wu, Bing-Cheng Chen, Jian Yin |
| 2019 | ICCV | Towards Multi-Pose Guided Virtual Try-On Network. | Haoye Dong, Xiaodan Liang, Xiaohui Shen, Bochao Wang, Hanjiang Lai, Jia Zhu, Zhiting Hu, Jian Yin |
| 2019 | ICCV | Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification. | Hang Xu, Lewei Yao, Zhenguo Li, Xiaodan Liang, Wei Zhang |
| 2019 | ICCV | Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning. | Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Liang Lin |
| 2019 | ICLR | AutoLoss: Learning Discrete Schedule for Alternate Optimization. | Haowen Xu, Hao Zhang, Zhiting Hu, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing |
| 2019 | ICML | Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching. | Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin |
| 2019 | MICCAI | Neural Architecture Search for Adversarial Medical Image Segmentation. | Nanqing Dong, Min Xu, Xiaodan Liang, Yiliang Jiang, Wei Dai, Eric P. Xing |
| 2019 | WACV | Soft Transfer Learning via Gradient Diagnosis for Visual Relationship Detection. | Diqi Chen, Xiaodan Liang, Yizhou Wang, Wen Gao |
| 2018 | BMVC | Adaptive Context-aware Reinforced Agent for Handwritten Text Recognition. | Liangke Gui, Xiaodan Liang, Xiaojun Chang, Alexander G. Hauptmann |
| 2018 | BMVC | Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption. | Peilun Li, Xiaodan Liang, Daoyuan Jia, Eric P. Xing |
| 2018 | BMVC | Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching. | Kaiwen Wang, Xiangrui Zeng, Xiaodan Liang, Zhiguang Huo, Eric P. Xing, Min Xu |
| 2018 | BMVC | Query-Conditioned Three-Player Adversarial Network for Video Summarization. | Yujia Zhang, Michael Kampffmeyer, Xiaodan Liang, Min Tan, Eric P. Xing |
| 2018 | CVPR | Visual Question Reasoning on General Dependency Tree. | Qingxing Cao, Xiaodan Liang, Bailin Li, Guanbin Li, Liang Lin |
| 2018 | CVPR | Reinforcement Cutting-Agent Learning for Video Object Segmentation. | Junwei Han, Le Yang, Dingwen Zhang, Xiaojun Chang, Xiaodan Liang |
| 2018 | CVPR | Dynamic-Structured Semantic Propagation Network. | Xiaodan Liang, Hongfei Zhou, Eric P. Xing |
| 2018 | ECCV | RCAA: Relational Context-Aware Agents for Person Search. | Xiaojun Chang, Po-Yao Huang, Yi-Dong Shen, Xiaodan Liang, Yi Yang, Alexander G. Hauptmann |
| 2018 | ECCV | Instance-Level Human Parsing via Part Grouping Network. | Ke Gong, Xiaodan Liang, Yicheng Li, Yimin Chen, Ming Yang, Liang Lin |
| 2018 | ECCV | Adversarial Geometry-Aware Human Motion Prediction. | Liang-Yan Gui, Yu-Xiong Wang, Xiaodan Liang, Jos M. F. Moura |
| 2018 | ECCV | CIRL: Controllable Imitative Reinforcement Learning for Vision-Based Self-driving. | Xiaodan Liang, Tairui Wang, Luona Yang, Eric P. Xing |
| 2018 | ECCV | Generative Semantic Manipulation with Mask-Contrasting GAN. | Xiaodan Liang, Hao Zhang, Liang Lin, Eric P. Xing |
| 2018 | ECCV | Toward Characteristic-Preserving Image-Based Virtual Try-On Network. | Bochao Wang, Huabin Zheng, Xiaodan Liang, Yimin Chen, Liang Lin, Meng Yang |
| 2018 | ECCV | Real-to-Virtual Domain Unification for End-to-End Autonomous Driving. | Luona Yang, Xiaodan Liang, Tairui Wang, Eric P. Xing |
| 2018 | ECCV | A Modulation Module for Multi-task Learning with Applications in Image Retrieval. | Xiangyun Zhao, Haoxiang Li, Xiaohui Shen, Xiaodan Liang, Ying Wu |
| 2018 | ICIP | Deep Learning Based Supervised Semantic Segmentation of Electron Cryo-Subtomograms. | Chang Liu, Xiangrui Zeng, Ruogu Lin, Xiaodan Liang, Zachary Freyberg, Eric P. Xing, Min Xu |
| 2018 | IROS | Teaching Robots to Predict Human Motion. | Liang-Yan Gui, Kevin Zhang, Yu-Xiong Wang, Xiaodan Liang, Jos M. F. Moura, Manuela Veloso |
| 2018 | KDD | StepDeep: A Novel Spatial-temporal Mobility Event Prediction Framework based on Deep Neural Network. | Bilong Shen, Xiaodan Liang, Yufeng Ouyang, Miaofeng Liu, Weimin Zheng, Kathleen M. Carley |
| 2018 | MICCAI | SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays. | Wei Dai, Nanqing Dong, Zeya Wang, Xiaodan Liang, Hao Zhang, Eric P. Xing |
| 2018 | MICCAI | Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. | Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing |
| 2018 | MICCAI | Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images. | Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing |
| 2017 | CVPR | Attention-Aware Face Hallucination via Deep Reinforcement Learning. | Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li |
| 2017 | CVPR | Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing. | Ke Gong, Xiaodan Liang, Dongyu Zhang, Xiaohui Shen, Liang Lin |
| 2017 | CVPR | Interpretable Structure-Evolving LSTM. | Xiaodan Liang, Liang Lin, Xiaohui Shen, Jiashi Feng, Shuicheng Yan, Eric P. Xing |
| 2017 | CVPR | Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection. | Xiaodan Liang, Lisa Lee, Eric P. Xing |
| 2017 | CVPR | Perceptual Generative Adversarial Networks for Small Object Detection. | Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan |
| 2017 | CVPR | Recurrent 3D Pose Sequence Machines. | Mude Lin, Liang Lin, Xiaodan Liang, Keze Wang, Hui Cheng |
| 2017 | CVPR | Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach. | Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan |
| 2017 | ICCV | Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning. | Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing, Carnegie Mellon |
| 2017 | ICCV | Recurrent Topic-Transition GAN for Visual Paragraph Generation. | Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing |
| 2017 | ICCV | Dual Motion GAN for Future-Flow Embedded Video Prediction. | Xiaodan Liang, Lisa Lee, Wei Dai, Eric P. Xing |
| 2017 | ICCV | Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection. | Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav Gupta |
| 2017 | ICML | Toward Controlled Generation of Text. | Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing |
| 2017 | USENIX | Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. | Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing |
| 2016 | CVPR | Semantic Object Parsing with Local-Global Long Short-Term Memory. | Xiaodan Liang, Xiaohui Shen, Donglai Xiang, Jiashi Feng, Liang Lin, Shuicheng Yan |
| 2016 | CVPR | Reversible Recursive Instance-Level Object Segmentation. | Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Zequn Jie, Jiashi Feng, Liang Lin, Shuicheng Yan |
| 2016 | CVPR | Deep Structured Scene Parsing by Learning with Image Descriptions. | Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, Wangmeng Zuo |
| 2016 | ECCV | Semantic Object Parsing with Graph LSTM. | Xiaodan Liang, Xiaohui Shen, Jiashi Feng, Liang Lin, Shuicheng Yan |
| 2016 | ECCV | LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling. | Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, Liang Lin |
| 2016 | ECCV | Is Faster R-CNN Doing Well for Pedestrian Detection? | Liliang Zhang, Liang Lin, Xiaodan Liang, Kaiming He |
| 2016 | ECCV | Peak-Piloted Deep Network for Facial Expression Recognition. | Xiangyun Zhao, Xiaodan Liang, Luoqi Liu, Teng Li, Yugang Han, Nuno Vasconcelos, Shuicheng Yan |
| 2016 | IJCAI | Geometric Scene Parsing with Hierarchical LSTM. | Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Xiaobai Liu, Liang Lin |
| 2015 | CVPR | Matching-CNN meets KNN: Quasi-parametric human parsing. | Si Liu, Xiaodan Liang, Luoqi Liu, Xiaohui Shen, Jianchao Yang, Changsheng Xu, Liang Lin, Xiaochun Cao, Shuicheng Yan |
| 2015 | ICCV | Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection. | Xiaodan Liang, Si Liu, Yunchao Wei, Luoqi Liu, Liang Lin, Shuicheng Yan |
| 2015 | ICCV | Human Parsing with Contextualized Convolutional Neural Network. | Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Si Liu, Jinhui Tang, Liang Lin, Shuicheng Yan |