Liu, Hao

118 publications

NeurIPS 2025 A Token Is Worth over 1,000 Tokens: Efficient Knowledge Distillation Through Low-Rank Clone Jitai Hao, Qiang Huang, Hao Liu, Xinyan Xiao, Zhaochun Ren, Jun Yu

NeurIPS 2025 Bag of Tricks for Inference-Time Computation of LLM Reasoning Fan Liu, Wen-Shuo Chao, Naiqiang Tan, Hao Liu

ECML-PKDD 2025 Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network Fan Liu, Siqi Lai, Yansong Ning, Hao Liu

NeurIPS 2025 BlockScan: Detecting Anomalies in Blockchain Transactions Jiahao Yu, Xian Wu, Hao Liu, Wenbo Guo, Xinyu Xing

JMLR 2025 Deep Neural Networks Are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation Hao Liu, Jiahui Cheng, Wenjing Liao

ICLR 2025 ElasticTok: Adaptive Tokenization for Image and Video Wilson Yan, Volodymyr Mnih, Aleksandra Faust, Matei Zaharia, Pieter Abbeel, Hao Liu

AAAI 2025 Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu

NeurIPS 2025 Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition Fan Liu, Jindong Han, Tengfei Lyu, Weijia Zhang, Zhe-Rui Yang, Lu Dai, Cancheng Liu, Hao Liu

ICLR 2025 GOFA: A Generative One-for-All Model for Joint Graph Language Modeling Lecheng Kong, Jiarui Feng, Hao Liu, Chengsong Huang, Jiaxin Huang, Yixin Chen, Muhan Zhang

ICCV 2025 Learning Efficient and Generalizable Human Representation with Human Gaussian Model Yifan Liu, Shengjun Zhang, Chensheng Dai, Yang Chen, Hao Liu, Chen Li, Yueqi Duan

NeurIPS 2025 MM-Agent: LLM as Agents for Real-World Mathematical Modeling Problem Fan Liu, Zhe-Rui Yang, Cancheng Liu, Tianrui Song, Xiaofeng Gao, Hao Liu

ICCV 2025 Morph: A Motion-Free Physics Optimization Framework for Human Motion Generation Zhuo Li, Mingshuang Luo, Ruibing Hou, Xin Zhao, Hao Liu, Hong Chang, Zimo Liu, Chen Li

NeurIPS 2025 OCRBench V2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning Ling Fu, Zhebin Kuang, Jiajun Song, Mingxin Huang, Biao Yang, Yuzhe Li, Linghao Zhu, Qidi Luo, Xinyu Wang, Hao Lu, Zhang Li, Guozhi Tang, Bin Shan, Chunhui Lin, Qi Liu, Binghong Wu, Hao Feng, Hao Liu, Can Huang, Jingqun Tang, Wei Chen, Lianwen Jin, Yuliang Liu, Xiang Bai

IJCAI 2025 RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming Hao Wang, Jindong Han, Wei Fan, Leilei Sun, Hao Liu

ICCV 2025 SEGA: A Stepwise Evolution Paradigm for Content-Aware Layout Generation with Design Prior Haoran Wang, Bo Zhao, Jinghui Wang, Hanzhang Wang, Huan Yang, Wei Ji, Hao Liu, Xinyan Xiao

CVPR 2025 Scene Splatter: Momentum 3D Scene Generation from Single Image with Video Diffusion Model Shengjun Zhang, Jinzhao Li, Xin Fei, Hao Liu, Yueqi Duan

AISTATS 2025 ScoreFusion: Fusing Score-Based Generative Models via Kullback–Leibler Barycenters Hao Liu, Tony Junze Ye, Jose Blanchet, Nian Si

ICLR 2025 SePer: Measure Retrieval Utility Through the Lens of Semantic Perplexity Reduction Lu Dai, Yijie Xu, Jinhui Ye, Hao Liu, Hui Xiong

ICLR 2025 World Model on Million-Length Video and Language with Blockwise RingAttention Hao Liu, Wilson Yan, Matei Zaharia, Pieter Abbeel

AAAI 2024 A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu

NeurIPS 2024 AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making Yizhe Huang, Xingbo Wang, Hao Liu, Fanqi Kong, Aoyang Qin, Min Tang, Song-Chun Zhu, Mingjie Bi, Siyuan Qi, Xue Feng

NeurIPS 2024 Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs Zhao Xu, Fan Liu, Hao Liu

ICLR 2024 Chain of Hindsight Aligns Language Models with Feedback Hao Liu, Carmelo Sferrazza, Pieter Abbeel

JMLR 2024 Deep Nonparametric Estimation of Operators Between Infinite Dimensional Spaces Hao Liu, Haizhao Yang, Minshuo Chen, Tuo Zhao, Wenjing Liao

NeurIPS 2024 Disentangling Linear Quadratic Control with Untrusted ML Predictions Tongxin Li, Hao Liu, Yisong Yue

TMLR 2024 Distributionally Robust Policy Evaluation Under General Covariate Shift in Contextual Bandits Yihong Guo, Hao Liu, Yisong Yue, Anqi Liu

IJCAI 2024 Dynamicity-Aware Social Bot Detection with Dynamic Graph Transformers Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou

AAAI 2024 Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation Hao Liu, Xin Li, Mingming Gong, Bing Liu, Yunfei Wu, Deqiang Jiang, Yinsong Liu, Xing Sun

NeurIPS 2024 Harmonizing Visual Text Comprehension and Generation Zhen Zhao, Jingqun Tang, Binghong Wu, Chunhui Lin, Shu Wei, Hao Liu, Xin Tan, Zhizhong Zhang, Can Huang, Yuan Xie

ECCV 2024 Heterogeneous Graph Learning for Scene Graph Prediction in 3D Point Clouds Yanni Ma, Hao Liu, Yun Pei, Yulan Guo

ICML 2024 Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach Weijia Zhang, Chenlong Yin, Hao Liu, Xiaofang Zhou, Hui Xiong

CVPR 2024 Multi-Modal In-Context Learning Makes an Ego-Evolving Scene Text Recognizer Zhen Zhao, Jingqun Tang, Chunhui Lin, Binghong Wu, Can Huang, Hao Liu, Xin Tan, Zhizhong Zhang, Yuan Xie

ICLR 2024 One for All: Towards Training One Graph Model for All Classification Tasks Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang

ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

ICLR 2024 RingAttention with Blockwise Transformers for Near-Infinite Context Hao Liu, Matei Zaharia, Pieter Abbeel

CVPRW 2024 Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data Ivan DeAndres-Tame, Ruben Tolosana, Pietro Melzi, Rubén Vera-Rodríguez, Minchul Kim, Christian Rathgeb, Xiaoming Liu, Aythami Morales, Julian Fiérrez, Javier Ortega-Garcia, Zhizhou Zhong, Yuge Huang, Yuxi Mi, Shouhong Ding, Shuigeng Zhou, Shuai He, Lingzhi Fu, Heng Cong, Rongyu Zhang, Zhihong Xiao, Evgeny Smirnov, Anton Pimenov, Aleksei Grigorev, Denis Timoshenko, Kaleb Mesfin Asfaw, Cheng-Yaw Low, Hao Liu, Chuyi Wang, Qing Zuo, Zhixiang He, Hatef Otroshi-Shahreza, Anjith George, Alexander Unnervik, Parsa Rahimi, Sébastien Marcel, Pedro C. Neto, Marco Huber, Jan Niklas Kolf, Naser Damer, Fadi Boutros, Jaime S. Cardoso, Ana Filipa Sequeira, Andrea Atzori, Gianni Fenu, Mirko Marras, Vitomir Struc, Jiang Yu, Zhangjie Li, Jichun Li, Weisong Zhao, Zhen Lei, Xiangyu Zhu, Xiaoyu Zhang, Bernardo Biesseck, Pedro Vidal, Luiz Coelho, Roger Granada, David Menotti

AAAI 2024 Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang, Hao Wang, Hui Xiong

NeurIPS 2024 TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy Weichao Zhao, Hao Feng, Qi Liu, Jingqun Tang, Shu Wei, Binghong Wu, Lei Liao, Yongjie Ye, Hao Liu, Wengang Zhou, Houqiang Li, Can Huang

CVPR 2024 Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment Based on Multi-Scale Aggregation and Anthropic Prior Knowledge Bo Zou, Shaofeng Wang, Hao Liu, Gaoyue Sun, Yajie Wang, FeiFei Zuo, Chengbin Quan, Youjian Zhao

ICLR 2024 The False Promise of Imitating Proprietary Language Models Arnav Gudibande, Eric Wallace, Charlie Victor Snell, Xinyang Geng, Hao Liu, Pieter Abbeel, Sergey Levine, Dawn Song

NeurIPS 2024 UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction Yansong Ning, Hao Liu

ICCV 2023 Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration Haoyu Cao, Changcun Bao, Chaohu Liu, Huang Chen, Kun Yin, Hao Liu, Yinsong Liu, Deqiang Jiang, Xing Sun

ICMLW 2023 Blockwise Parallel Transformer for Long Context Large Models Hao Liu, Pieter Abbeel

NeurIPS 2023 Blockwise Parallel Transformers for Large Context Models Hao Liu, Pieter Abbeel

ICCV 2023 Cloth2Body: Generating 3D Human Body Mesh from 2D Clothing Lu Dai, Liqian Ma, Shenhan Qian, Hao Liu, Ziwei Liu, Hui Xiong

NeurIPS 2023 DPOK: Reinforcement Learning for Fine-Tuning Text-to-Image Diffusion Models Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee

ICML 2023 Emergent Agentic Transformer from Chain of Hindsight Experience Hao Liu, Pieter Abbeel

NeurIPSW 2023 Exploration with Principles for Diverse AI Supervision Hao Liu, Matei Zaharia, Pieter Abbeel

NeurIPS 2023 Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen

NeurIPS 2023 Guide Your Agent with Adaptive Multimodal Rewards Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee

ICMLW 2023 Guide Your Agent with Adaptive Multimodal Rewards Changyeon Kim, Younggyo Seo, Hao Liu, Lisa Lee, Jinwoo Shin, Honglak Lee, Kimin Lee

CVPR 2023 Hierarchical Prompt Learning for Multi-Task Learning Yajing Liu, Yuning Lu, Hao Liu, Yaozu An, Zhuoran Xu, Zhuokun Yao, Baofeng Zhang, Zhiwei Xiong, Chenguang Gui

NeurIPS 2023 Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment Hao Liu, Wilson Yan, Pieter Abbeel

AAAI 2023 Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA Yongxin Zhu, Zhen Liu, Yukang Liang, Xin Li, Hao Liu, Changcun Bao, Linli Xu

NeurIPS 2023 MAG-GNN: Reinforcement Learning Boosted Graph Neural Network Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang

NeurIPSW 2023 Ring Attention with Blockwise Transformers for Near-Infinite Context Hao Liu, Matei Zaharia, Pieter Abbeel

AAAI 2023 TaCo: Textual Attribute Recognition via Contrastive Learning Chang Nie, Yiqing Hu, Yanqiu Qu, Hao Liu, Deqiang Jiang, Bo Ren

NeurIPSW 2023 TabContrast: A Local-Global Level Method for Tabular Contrastive Learning Hao Liu, Yixin Chen, Bradley Fritz, Christopher King

AAAI 2023 The Devil Is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-Training Hao Liu, Xinghua Jiang, Xin Li, Antai Guo, Yiqing Hu, Deqiang Jiang, Bo Ren

NeurIPS 2023 UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction Yansong Ning, Hao Liu, Hao Wang, Zhenyu Zeng, Hui Xiong

NeurIPS 2023 When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation Xinhong Ma, Yiming Wang, Hao Liu, Tianyu Guo, Yunhe Wang

ICML 2022 Benefits of Overparameterized Convolutional Residual Networks: Function Approximation Under Smoothness Constraint Hao Liu, Minshuo Chen, Siawpeng Er, Wenjing Liao, Tong Zhang, Tuo Zhao

NeurIPSW 2022 Benefits of Overparameterized Convolutional Residual Networks: Function Approximation Under Smoothness Constraint Hao Liu, Minshuo Chen, Siawpeng Er, Wenjing Liao, Tong Zhang, Tuo Zhao

CVPR 2022 Contextual Debiasing for Visual Recognition with Causal Mechanisms Ruyang Liu, Hao Liu, Ge Li, Haodi Hou, TingHao Yu, Tao Yang

ICLR 2022 Continual Learning with Recursive Gradient Optimization Hao Liu, Huaping Liu

ICLRW 2022 Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning Denis Yarats, David Brandfonbrener, Hao Liu, Michael Laskin, Pieter Abbeel, Alessandro Lazaric, Lerrel Pinto

IJCAI 2022 Feature and Instance Joint Selection: A Reinforcement Learning Perspective Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu

ECCV 2022 Improving Self-Supervised Lightweight Model Learning via Hard-Aware Metric Distillation Hao Liu, Mang Ye

CVPR 2022 Knowledge Mining with Scene Text for Fine-Grained Recognition Hao Wang, Junchao Liao, Tianheng Cheng, Zewen Gao, Hao Liu, Bo Ren, Xiang Bai, Wenyu Liu

AAAI 2022 Learning to Walk with Dual Agents for Knowledge Graph Reasoning Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong

NeurIPS 2022 Masked Autoencoding for Scalable and Generalizable Decision Making Fangchen Liu, Hao Liu, Aditya Grover, Pieter Abbeel

CoRL 2022 Masked World Models for Visual Control Younggyo Seo, Danijar Hafner, Hao Liu, Fangchen Liu, Stephen James, Kimin Lee, Pieter Abbeel

ICMLW 2022 Multimodal Masked Autoencoders Learn Transferable Representations Xinyang Geng, Hao Liu, Lisa Lee, Dale Schuurmans, Sergey Levine, Pieter Abbeel

CVPR 2022 Neural Collaborative Graph Machines for Table Structure Recognition Hao Liu, Xin Li, Bing Liu, Deqiang Jiang, Yinsong Liu, Bo Ren

CVPR 2022 NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition Hao Liu, Xinghua Jiang, Xin Li, Zhimin Bao, Deqiang Jiang, Bo Ren

ECCVW 2022 PAI3D: Painting Adaptive Instance-Prior for 3D Object Detection Hao Liu, Zhuoran Xu, Dan Wang, Baofeng Zhang, Guan Wang, Bo Dong, Xin Wen, Xinyu Xu

NeurIPS 2022 PaLM up: Playing in the Latent Manifold for Unsupervised Pretraining Hao Liu, Tom Zahavy, Volodymyr Mnih, Satinder P. Singh

AAAI 2022 Perceiving Stroke-Semantic Context: Hierarchical Contrastive Learning for Robust Scene Text Recognition Hao Liu, Bin Wang, Zhimin Bao, Mobai Xue, Sheng Kang, Deqiang Jiang, Yinsong Liu, Bo Ren

NeurIPS 2022 Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models Fan Liu, Hao Liu, Wenzhao Jiang

WACV 2022 Spatial-Temporal Transformer for 3D Point Cloud Sequences Yimin Wei, Hao Liu, Tingting Xie, Qiuhong Ke, Yulan Guo

NeurIPS 2022 Unsupervised Reinforcement Learning with Contrastive Intrinsic Control Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel

ICML 2021 APS: Active Pretraining with Successor Features Hao Liu, Pieter Abbeel

NeurIPS 2021 Behavior from the Void: Unsupervised Active Pre-Training Hao Liu, Pieter Abbeel

ICML 2021 Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks Hao Liu, Minshuo Chen, Tuo Zhao, Wenjing Liao

IJCAI 2021 Bipartite Matching for Crowd Counting with Point Supervision Hao Liu, Qiang Zhao, Yike Ma, Feng Dai

NeurIPSW 2021 CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel

AAAI 2021 Community-Aware Multi-Task Transportation Demand Prediction Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong

NeurIPS 2021 Generalized DataWeighting via Class-Level Gradient Manipulation Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou

AAAI 2021 Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou

AAAI 2021 Out-of-Town Recommendation with Travel Intention Modeling Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong

CVPR 2021 PML: Progressive Margin Loss for Long-Tailed Age Classification Zongyong Deng, Hao Liu, Yaoxing Wang, Chenyang Wang, Zekuan Yu, Xuehong Sun

AAAI 2021 Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling Zixuan Yuan, Hao Liu, Renjun Hu, Denghui Zhang, Hui Xiong

NeurIPSW 2021 URLB: Unsupervised Reinforcement Learning Benchmark Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel

AAAI 2020 Accurate Structured-Text Spotting for Arithmetical Exercise Correction Yiqing Hu, Yan Zheng, Hao Liu, Deqiang Jiang, Yinsong Liu, Bo Ren

WACV 2020 Global Context Reasoning for Semantic Segmentation of 3D Point Clouds Yanni Ma, Yulan Guo, Hao Liu, Yinjie Lei, Gongjian Wen

ECCV 2020 MABNet: A Lightweight Stereo Network Based on Multibranch Adjustable Bottleneck Module Jiabin Xing, Zhi Qi, Jiying Dong, Jiaxuan Cai, Hao Liu

AAAI 2020 Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong

AAAI 2020 Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos Congcong Zhu, Hao Liu, Zhenhua Yu, Xuehong Sun

IJCAI 2020 Why We Go Where We Go: Profiling User Decisions on Choosing POIs Renjun Hu, Xinjiang Lu, Chuanren Liu, Yanyan Li, Hao Liu, Jingjing Gu, Shuai Ma, Hui Xiong

ICLR 2019 Competitive Experience Replay Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong

AAAI 2019 Joint Representation Learning for Multi-Modal Transportation Recommendation Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong

AISTATS 2019 On Connecting Stochastic Gradient MCMC and Differential Privacy Bai Li, Changyou Chen, Hao Liu, Lawrence Carin

ICML 2019 Taming MAML: Efficient Unbiased Meta-Reinforcement Learning Hao Liu, Richard Socher, Caiming Xiong

ICLR 2018 Action-Dependent Control Variates for Policy Optimization via Stein Identity Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu

AAAI 2018 Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions Oscar Li, Hao Liu, Chaofan Chen, Cynthia Rudin

WACV 2018 Generative and Discriminative Sparse Coding for Image Classification Applications Ajit Puthenputhussery, Qingfeng Liu, Hao Liu, Chengjun Liu

IJCAI 2018 Structured Inference for Recurrent Hidden Semi-Markov Model Hao Liu, Lirong He, Haoli Bai, Bo Dai, Kun Bai, Zenglin Xu

NeurIPS 2018 Variational Inference with Tail-Adaptive F-Divergence Dilin Wang, Hao Liu, Qiang Liu

ECCVW 2018 VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Haotian Wu, Lianjie Wang, Arne Schumann, Chase Brown, Qian Chen, Chengzheng Li, Dongdong Li, Emmanouil Michail, Fan Zhang, Feng Ni, Feng Zhu, Guanghui Wang, Haipeng Zhang, Han Deng, Hao Liu, Haoran Wang, Heqian Qiu, Honggang Qi, Honghui Shi, Hongliang Li, Hongyu Xu, Hu Lin, Ioannis Kompatsiaris, Jian Cheng, Jianqiang Wang, Jianxiu Yang, Jingkai Zhou, Juanping Zhao, K. J. Joseph, Kaiwen Duan, Karthik Suresh, Bo Ke, Ke Wang, Konstantinos Avgerinakis, Lars Wilko Sommer, Lei Zhang, Li Yang, Lin Cheng, Lin Ma, Liyu Lu, Lu Ding, Minyu Huang, Naveen Kumar Vedurupaka, Nehal Mamgain, Nitin Bansal, Oliver Acatay, Panagiotis Giannakeris, Qian Wang, Qijie Zhao, Qingming Huang, Qiong Liu, Qishang Cheng, Qiuchen Sun, Robert Laganière, Sheng Jiang, Shengjin Wang, Shubo Wei, Siwei Wang, Stefanos Vrochidis, Sujuan Wang, Tiaojio Lee, Usman Sajid, Vineeth N. Balasubramanian, Wei Li, Wei Zhang, Weikun Wu, Wenchi Ma, Wenrui He, Wenzhe Yang, Xiaoyu Chen, Xin Sun, Xinbin Luo, Xintao Lian, Xiufang Li, Yangliu Kuai, Yali Li, Yi Luo, Yifan Zhang, Yiling Liu, Ying Li, Yong Wang, Yongtao Wang, Yuanwei Wu, Yue Fan, Yunchao Wei, Yuqin Zhang, Zexin Wang, Zhangyang Wang, Zhaoyue Xia, Zhen Cui, Zhenwei He, Zhipeng Deng, Zhiyao Guo, Zichen Song

ECCVW 2018 VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Chenfeng Liu, Hao Cheng, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Asanka G. Perera, Baochang Zhang, Byeongho Heo, Chunlei Liu, Dongdong Li, Emmanouil Michail, Hanlin Chen, Hao Liu, Haojie Li, Ioannis Kompatsiaris, Jian Cheng, Jiaqing Fan, Jie Zhang, Jin Young Choi, Jing Li, Jinyu Yang, Jongwon Choi, Juanping Zhao, Jungong Han, Kaihua Zhang, Kaiwen Duan, Ke Song, Konstantinos Avgerinakis, Kyuewang Lee, Lu Ding, Martin Lauer, Panagiotis Giannakeris, Peizhen Zhang, Qiang Wang, Qianqian Xu, Qingming Huang, Qingshan Liu, Robert Laganière, Ruixin Zhang, Sangdoo Yun, Shengyin Zhu, Sihang Wu, Stefanos Vrochidis, Wei Tian, Wei Zhang, Weidong Chen, Weiming Hu, Wenhao Wang, Wenhua Zhang, Wenrui Ding, Xiaohao He, Xiaotong Li, Xin Zhang, Xinbin Luo, Xixi Hu, Yang Meng, Yangliu Kuai, Yanyun Zhao, Yaxuan Li, Yifan Yang, Yifan Zhang, Yong Wang, Yuankai Qi, Zhipeng Deng, Zhiqun He

NeurIPS 2017 ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching Chunyuan Li, Hao Liu, Changyou Chen, Yuchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin

IJCAI 2017 Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach Huayu Li, Yong Ge, Defu Lian, Hao Liu

ICCV 2017 Neural Person Search Machines Hao Liu, Jiashi Feng, Zequn Jie, Karlekar Jayashree, Bo Zhao, Meibin Qi, Jianguo Jiang, Shuicheng Yan

NeurIPS 2017 Triangle Generative Adversarial Networks Zhe Gan, Liqun Chen, Weiyao Wang, Yuchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin

ICCV 2015 Panoptic Studio: A Massively Multiview System for Social Motion Capture Hanbyul Joo, Hao Liu, Lei Tan, Lin Gui, Bart Nabbe, Iain Matthews, Takeo Kanade, Shohei Nobuhara, Yaser Sheikh