Author Information

Minting Pan (Shanghai Jiao Tong University)

Xiang Chen (Zhejiang University)

Wenhan Huang (Shanghai Jiao Tong University)

Can Chang (Tsinghua University, Tsinghua University)

Zhecheng Yuan (Tsinghua University, Tsinghua University)

Jianzhun Shao (Tsinghua University)

Yushi Cao (Nanyang Technological University)

Peihao Chen (South China University of Technology)

Ke Xue (Nanjing University)

Zhengrong Xue (Shanghai Jiao Tong University)

Zhiqiang Lou (Tsinghua University, Tsinghua University)

Xiangming Zhu (Shanghai Jiao Tong University)

Lei Li (Zhejiang University)

Zhiming Li (Nanyang Technological University)

Kai Li (Huawei Noah's Ark Lab)

Jiacheng Xu (Nanjing University)

Dongyu Ji (South China University of Technology)

Ni Mu (Southeast University)

Kun Shao (Huawei Noah's Ark Lab)

Tianpei Yang (University of Alberta)

Kunyang Lin (South China University of Technology)

Ningyu Zhang (Zhejiang University)

Dr. Ningyu Zhang is an Assistant Professor at Zhejiang University. He got a Ph.D. in College of Computer Science at Zhejiang University, with the supervision of Prof. Huajun Chen. And he obtained his bachelor's degree from the College of Software Engineering of Zhejiang University. His research interests mainly lie in Machine Learning, Natural Language Processing, and Knowledge Graph.

Yunbo Wang (Shanghai Jiao Tong University)

Lei Yuan (None)

Bo Yuan (Qianyuan Institute of Sciences)

Hongchang Zhang (Tsinghua University)

Jiajun Wu (Stanford University)

Tianze Zhou (Beijing Institute of Technology)

Xueqian Wang (Tsinghua University, Tsinghua University)

Ling Pan (Montreal Institute for Learning Algorithms (MILA))

Yuhang Jiang (Department of Automation, Tsinghua University)

Xiaokang Yang (Shanghai Jiao Tong University)

Xiaozhuan Liang (Zhejiang University)

Hao Zhang (Tianjin University)

Weiwen Hu (South China University of Technology)

Miqing Li (University of Birmingham)

Dr Miqing Li is an Assistant Professor at the University of Birmingham and a Turing Fellow of the Alan Turing Institute, UK. His research is principally on multi-objective optimisation, where he focuses on developing evolutionary algorithms for both general challenging problems (e.g. many-objective optimisation, constrained optimisation, robust optimisation, expensive optimisation) and specific application problems (e.g. those in software engineering, high-performance computing, neural architecture search, product disassembly and supply chain).

YAN ZHENG (Tianjin University)

Matthew Taylor (U. of Alberta)

Huazhe Xu (Tsinghua University)

Shumin Deng (Zhejiang University)

Chao Qian (Nanjing University)

YI WU (UC Berkeley)

Shuncheng He (Tsinghua University)

Wenbing Huang (Tsinghua University)

Chuanqi Tan (Alibaba Group)

Zongzhang Zhang (Nanjing University)

I am now an associate professor at the School of Artificial Intelligence, Nanjing University.

Yang Gao (Tsinghua University)

Jun Luo (Huawei Technologies Ltd.)

Yi Li (School of Computer Science and Engineering, Nanyang Technological University)

Xiangyang Ji (Tsinghua University)

Thomas Li (AIIT, Peking University)

Mingkui Tan (South China University of Technology)

Fei Huang (Alibaba Group)

Yang Yu (Nanjing University)

Huazhe Xu (Tsinghua University)

Dongge Wang (Swiss Federal Institute of Technology Lausanne)

Jianye Hao (Tianjin University)

Chuang Gan (UMass Amherst/ MIT-IBM Watson AI Lab)

Yang Liu (Nanyang Technology University, Singapore)

Luo Si (Alibaba Group)

Hangyu Mao (Huawei Technologies Co., Ltd.)

Huajun Chen (College of Computer Science)

Jianye Hao (Tianjin University)

Jun Wang (UCL)

Xiaotie Deng (Peking University)

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• 2022 Poster: A Simple Decentralized Cross-Entropy Method »
  Zichen Zhang · Jun Jin · Martin Jagersand · Jun Luo · Dale Schuurmans
• 2022 Poster: 3D Concept Grounding on Neural Fields »
  Yining Hong · Yilun Du · Chunru Lin · Josh Tenenbaum · Chuang Gan
• 2022 Poster: E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance »
  Can Chang · Ni Mu · Jiajun Wu · Ling Pan · Huazhe Xu
• 2022 Poster: CLEVRER-Humans: Describing Physical and Causal Events the Human Way »
  Jiayuan Mao · Xuelin Yang · Xikun Zhang · Noah Goodman · Jiajun Wu
• 2022 Poster: Molecule Generation by Principal Subgraph Mining and Assembling »
  Xiangzhe Kong · Wenbing Huang · Zhixing Tan · Yang Liu
• 2022 Poster: Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition »
  Shuai Jia · Bangjie Yin · Taiping Yao · Shouhong Ding · Chunhua Shen · Xiaokang Yang · Chao Ma
• 2022 Poster: Learning Active Camera for Multi-Object Navigation »
  Peihao Chen · Dongyu Ji · Kunyang Lin · Weiwen Hu · Wenbing Huang · Thomas Li · Mingkui Tan · Chuang Gan
• 2022 Poster: Interaction Modeling with Multiplex Attention »
  Fan-Yun Sun · Isaac Kauvar · Ruohan Zhang · Jiachen Li · Mykel J Kochenderfer · Jiajun Wu · Nick Haber
• 2022 Poster: Optimistic Tree Searches for Combinatorial Black-Box Optimization »
  Cedric Malherbe · Antoine Grosnit · Rasul Tutunov · Haitham Bou Ammar · Jun Wang
• 2022 Poster: Geoclidean: Few-Shot Generalization in Euclidean Geometry »
  Joy Hsu · Jiajun Wu · Noah Goodman
• 2022 Poster: GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis »
  Yushi Cao · Zhiming Li · Tianpei Yang · Hao Zhang · YAN ZHENG · Yi Li · Jianye Hao · Yang Liu
• 2022 Poster: Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation »
  Peihao Chen · Dongyu Ji · Kunyang Lin · Runhao Zeng · Thomas Li · Mingkui Tan · Chuang Gan
• 2022 Poster: DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning »
  Yao Mu · Yuzheng Zhuang · Fei Ni · Bin Wang · Jianyu Chen · Jianye Hao · Ping Luo
• 2022 Poster: NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning »
  Rong-Jun Qin · Xingyuan Zhang · Songyi Gao · Xiong-Hui Chen · Zewen Li · Weinan Zhang · Yang Yu
• 2022 Poster: The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games »
  Chao Yu · Akash Velu · Eugene Vinitsky · Jiaxuan Gao · Yu Wang · Alexandre Bayen · YI WU
• 2022 Poster: MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing »
  Zelun Luo · Zane Durante · Linden Li · Wanze Xie · Ruochen Liu · Emily Jin · Zhuoyi Huang · Lun Yu Li · Jiajun Wu · Juan Carlos Niebles · Ehsan Adeli · Fei-Fei Li
• 2022 Poster: Learning Neural Acoustic Fields »
  Andrew Luo · Yilun Du · Michael Tarr · Josh Tenenbaum · Antonio Torralba · Chuang Gan
• 2022 Poster: Benefits of Permutation-Equivariance in Auction Mechanisms »
  Tian Qin · Fengxiang He · Dingfeng Shi · Wenbing Huang · Dacheng Tao
• 2022 Poster: Neural-Symbolic Entangled Framework for Complex Query Answering »
  Zezhong Xu · Wen Zhang · Peng Ye · Hui Chen · Huajun Chen
• 2022 Poster: Enhancing Safe Exploration Using Safety State Augmentation »
  Aivar Sootla · Alexander Cowen-Rivers · Jun Wang · Haitham Bou Ammar
• 2022 Poster: The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design »
  Ruoyu Cheng · Xianglong Lyu · Yang Li · Junjie Ye · Jianye Hao · Junchi Yan
• 2022 Poster: Multi-Agent Reinforcement Learning is a Sequence Modeling Problem »
  Muning Wen · Jakub Kuba · Runji Lin · Weinan Zhang · Ying Wen · Jun Wang · Yaodong Yang
• 2022 Poster: On-Device Training Under 256KB Memory »
  Ji Lin · Ligeng Zhu · Wei-Ming Chen · Wei-Chen Wang · Chuang Gan · Song Han
• 2022 Poster: IKEA-Manual: Seeing Shape Assembly Step by Step »
  Ruocheng Wang · Yunzhi Zhang · Jiayuan Mao · Ran Zhang · Chin-Yi Cheng · Jiajun Wu
• 2022 Poster: Unsupervised Learning of Shape Programs with Repeatable Implicit Parts »
  Boyang Deng · Sumith Kulal · Zhengyang Dong · Congyue Deng · Yonglong Tian · Jiajun Wu
• 2022 Poster: Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions »
  Weirui Ye · Pieter Abbeel · Yang Gao
• 2022 Poster: Planning for Sample Efficient Imitation Learning »
  Zhao-Heng Yin · Weirui Ye · Qifeng Chen · Yang Gao
• 2022 Poster: An Empirical Study on Disentanglement of Negative-free Contrastive Learning »
  Jinkun Cao · Ruiqian Nai · Qing Yang · Jialei Huang · Yang Gao
• 2022 Poster: Multi-agent Dynamic Algorithm Configuration »
  Ke Xue · Jiacheng Xu · Lei Yuan · Miqing Li · Chao Qian · Zongzhang Zhang · Yang Yu
• 2022 Poster: Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning »
  Chenyang Wu · Tianci Li · Zongzhang Zhang · Yang Yu
• 2022 Poster: Distilling Representations from GAN Generator via Squeeze and Span »
  Yu Yang · Xiaotian Cheng · Chang Liu · Hakan Bilen · Xiangyang Ji
• 2022 Poster: A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning »
  Bo Liu · Xidong Feng · Jie Ren · Luo Mai · Rui Zhu · Haifeng Zhang · Jun Wang · Yaodong Yang
• 2022 Poster: CageNeRF: Cage-based Neural Radiance Field for Generalized 3D Deformation and Animation »
  Yicong Peng · Yichao Yan · Shengqi Liu · Yuhao Cheng · Shanyan Guan · Bowen Pan · Guangtao Zhai · Xiaokang Yang
• 2022 Poster: Improved Fine-Tuning by Better Leveraging Pre-Training Data »
  Ziquan Liu · Yi Xu · Yuanhong Xu · Qi Qian · Hao Li · Xiangyang Ji · Antoni Chan · Rong Jin
• 2021 : Reward and State Design: Towards Learning to Teach »
  Alex Lewandowski · Calarina Muslimani · Matthew Taylor · Jun Luo
• 2021 : Learning Representations for Pixel-based Control: What Matters and Why? »
  Manan Tomar · Utkarsh A Mishra · Amy Zhang · Matthew Taylor
• 2021 : More Efficient Adversarial Imitation Learning Algorithms With Known and Unknown Transitions »
  Tian Xu · Ziniu Li · Yang Yu
• 2021 : HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation Q&A »
  Boyan Li · Hongyao Tang · YAN ZHENG · Jianye Hao · Pengyi Li · Zhaopeng Meng · LI Wang
• 2021 : HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation »
  Boyan Li · Hongyao Tang · YAN ZHENG · Jianye Hao · Pengyi Li · Zhaopeng Meng · LI Wang
• 2021 Workshop: Deep Reinforcement Learning »
  Pieter Abbeel · Chelsea Finn · David Silver · Matthew Taylor · Martha White · Srijita Das · Yuqing Du · Andrew Patterson · Manan Tomar · Olivia Watkins
• 2021 Poster: Memory-efficient Patch-based Inference for Tiny Deep Learning »
  Ji Lin · Wei-Ming Chen · Han Cai · Chuang Gan · Song Han
• 2021 Poster: Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language »
  Mingyu Ding · Zhenfang Chen · Tao Du · Ping Luo · Josh Tenenbaum · Chuang Gan
• 2021 Poster: A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs »
  Runzhong Wang · Zhigang Hua · Gan Liu · Jiayi Zhang · Junchi Yan · Feng Qi · Shuang Yang · Jun Zhou · Xiaokang Yang
• 2021 Poster: Grammar-Based Grounded Lexicon Learning »
  Jiayuan Mao · Freda Shi · Jiajun Wu · Roger Levy · Josh Tenenbaum
• 2021 Poster: Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP »
  Zihan Zhang · Jiaqi Yang · Xiangyang Ji · Simon Du
• 2021 Poster: TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification »
  Zhuchen Shao · Hao Bian · Yang Chen · Yifeng Wang · Jian Zhang · Xiangyang Ji · yongbing zhang
• 2021 Poster: PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning »
  Yining Hong · Li Yi · Josh Tenenbaum · Antonio Torralba · Chuang Gan
• 2021 Poster: Mastering Atari Games with Limited Data »
  Weirui Ye · Shaohuai Liu · Thanard Kurutach · Pieter Abbeel · Yang Gao
• 2021 Poster: Debiased Visual Question Answering from Feature and Sample Perspectives »
  Zhiquan Wen · Guanghui Xu · Mingkui Tan · Qingyao Wu · Qi Wu
• 2021 Poster: An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning »
  Tianpei Yang · Weixun Wang · Hongyao Tang · Jianye Hao · Zhaopeng Meng · Hangyu Mao · Dong Li · Wulong Liu · Yingfeng Chen · Yujing Hu · Changjie Fan · Chengwei Zhang
• 2021 Poster: Reinforcement Learning with Latent Flow »
  Wenling Shang · Xiaofei Wang · Aravind Srinivas · Aravind Rajeswaran · Yang Gao · Pieter Abbeel · Misha Laskin
• 2021 Poster: When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? »
  Lijie Fan · Sijia Liu · Pin-Yu Chen · Gaoyuan Zhang · Chuang Gan
• 2021 : ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation »
  Chuang Gan · Jeremy Schwartz · Seth Alter · Damian Mrowca · Martin Schrimpf · James Traer · Julian De Freitas · Jonas Kubilius · Abhishek Bhandwaldar · Nick Haber · Megumi Sano · Kuno Kim · Elias Wang · Michael Lingelbach · Aidan Curtis · Kevin Feigelis · Daniel Bear · Dan Gutfreund · David Cox · Antonio Torralba · James J DiCarlo · Josh Tenenbaum · Josh McDermott · Dan Yamins
• 2020 : Panel #2 »
  Oren Etzioni · Heng Ji · Subbarao Kambhampati · Victoria Lin · Jiajun Wu
• 2020 : Q&A #2 »
  Heng Ji · Jure Leskovec · Jiajun Wu
• 2020 : Invited Talk #6 »
  Jiajun Wu
• 2020 : Contributed Talk: Maximum Reward Formulation In Reinforcement Learning »
  Vijaya Sai Krishna Gottipati · Yashaswi Pathak · Rohan Nuttall · Sahir . · Raviteja Chunduru · Ahmed Touati · Sriram Ganapathi · Matthew Taylor · Sarath Chandar
• 2020 Poster: Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning »
  Runzhong Wang · Junchi Yan · Xiaokang Yang
• 2020 Poster: MCUNet: Tiny Deep Learning on IoT Devices »
  Ji Lin · Wei-Ming Chen · Yujun Lin · john cohn · Chuang Gan · Song Han
• 2020 Spotlight: MCUNet: Tiny Deep Learning on IoT Devices »
  Ji Lin · Wei-Ming Chen · Yujun Lin · john cohn · Chuang Gan · Song Han
• 2020 Poster: Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping »
  Yujing Hu · Weixun Wang · Hangtian Jia · Yixiang Wang · Yingfeng Chen · Jianye Hao · Feng Wu · Changjie Fan
• 2020 Poster: TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning »
  Han Cai · Chuang Gan · Ligeng Zhu · Song Han
• 2020 Poster: Almost Optimal Model-Free Reinforcement Learningvia Reference-Advantage Decomposition »
  Zihan Zhang · Yuan Zhou · Xiangyang Ji
• 2020 Poster: Error Bounds of Imitating Policies and Environments »
  Tian Xu · Ziniu Li · Yang Yu
• 2020 Poster: Self-Supervised Graph Transformer on Large-Scale Molecular Data »
  Yu Rong · Yatao Bian · Tingyang Xu · Weiyang Xie · Ying Wei · Wenbing Huang · Junzhou Huang
• 2020 Poster: Multi-Task Reinforcement Learning with Soft Modularization »
  Ruihan Yang · Huazhe Xu · YI WU · Xiaolong Wang
• 2020 Poster: Offline Imitation Learning with a Misspecified Simulator »
  Shengyi Jiang · Jingcheng Pang · Yang Yu
• 2020 Poster: Latent Template Induction with Gumbel-CRFs »
  Yao Fu · Chuanqi Tan · Bin Bi · Mosha Chen · Yansong Feng · Alexander Rush
• 2020 Poster: Deep Multimodal Fusion by Channel Exchanging »
  Yikai Wang · Wenbing Huang · Fuchun Sun · Tingyang Xu · Yu Rong · Junzhou Huang
• 2020 Poster: Multi-Plane Program Induction with 3D Box Priors »
  Yikai Li · Jiayuan Mao · Xiuming Zhang · Bill Freeman · Josh Tenenbaum · Noah Snavely · Jiajun Wu
• 2020 Poster: Watch out! Motion is Blurring the Vision of Your Deep Neural Networks »
  Qing Guo · Felix Juefei-Xu · Xiaofei Xie · Lei Ma · Jian Wang · Bing Yu · Wei Feng · Yang Liu
• 2020 Poster: A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling »
  Xiaotie Deng · Ron Lavi · Tao Lin · Qi Qi · Wenwei WANG · Xiang Yan
• 2020 Poster: Fighting Copycat Agents in Behavioral Cloning from Observation Histories »
  Chuan Wen · Jierui Lin · Trevor Darrell · Dinesh Jayaraman · Yang Gao
• 2020 Poster: Learning Physical Graph Representations from Visual Scenes »
  Daniel Bear · Chaofei Fan · Damian Mrowca · Yunzhu Li · Seth Alter · Aran Nayebi · Jeremy Schwartz · Li Fei-Fei · Jiajun Wu · Josh Tenenbaum · Daniel Yamins
• 2020 Oral: Learning Physical Graph Representations from Visual Scenes »
  Daniel Bear · Chaofei Fan · Damian Mrowca · Yunzhu Li · Seth Alter · Aran Nayebi · Jeremy Schwartz · Li Fei-Fei · Jiajun Wu · Josh Tenenbaum · Daniel Yamins
• 2020 : Neurosymbolic Visual Reasoning »
  Chuang Gan
• 2020 : Neuro-Symbolic Visual Concept Learning »
  Jiajun Wu
• 2019 : Poster Session »
  Ethan Harris · Tom White · Oh Hyeon Choung · Takashi Shinozaki · Dipan Pal · Katherine L. Hermann · Judy Borowski · Camilo Fosco · Chaz Firestone · Vijay Veerabadran · Benjamin Lahner · Chaitanya Ryali · Fenil Doshi · Pulkit Singh · Sharon Zhou · Michel Besserve · Michael Chang · Anelise Newman · Mahesan Niranjan · Jonathon Hare · Daniela Mihai · Marios Savvides · Simon Kornblith · Christina M Funke · Aude Oliva · Virginia de Sa · Dmitry Krotov · Colin Conwell · George Alvarez · Alex Kolchinski · Shengjia Zhao · Mitchell Gordon · Michael Bernstein · Stefano Ermon · Arash Mehrjou · Bernhard Schölkopf · John Co-Reyes · Michael Janner · Jiajun Wu · Josh Tenenbaum · Sergey Levine · Yalda Mohsenzadeh · Zhenglong Zhou
• 2019 Poster: Cross-channel Communication Networks »
  Jianwei Yang · Zhile Ren · Chuang Gan · Hongyuan Zhu · Devi Parikh
• 2019 Poster: Bridging Machine Learning and Logical Reasoning by Abductive Learning »
  Wang-Zhou Dai · Qiuling Xu · Yang Yu · Zhi-Hua Zhou
• 2019 Poster: Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations »
  Kevin Smith · Lingjie Mei · Shunyu Yao · Jiajun Wu · Elizabeth Spelke · Josh Tenenbaum · Tomer Ullman
• 2019 Poster: Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks »
  Yaqin Zhou · Shangqing Liu · Jingkai Siow · Xiaoning Du · Yang Liu
• 2019 Poster: Visual Concept-Metaconcept Learning »
  Chi Han · Jiayuan Mao · Chuang Gan · Josh Tenenbaum · Jiajun Wu
• 2019 Poster: NAT: Neural Architecture Transformer for Accurate and Compact Architectures »
  Yong Guo · Yin Zheng · Mingkui Tan · Qi Chen · Jian Chen · Peilin Zhao · Junzhou Huang
• 2019 Poster: Regret Minimization for Reinforcement Learning by Evaluating the Optimal Bias Function »
  Zihan Zhang · Xiangyang Ji
• 2019 Poster: Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement »
  Chao Yang · Xiaojian Ma · Wenbing Huang · Fuchun Sun · Huaping Liu · Junzhou Huang · Chuang Gan
• 2019 Spotlight: Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement »
  Chao Yang · Xiaojian Ma · Wenbing Huang · Fuchun Sun · Huaping Liu · Junzhou Huang · Chuang Gan
• 2019 Poster: Multi-marginal Wasserstein GAN »
  Jiezhang Cao · Langyuan Mo · Yifan Zhang · Kui Jia · Chunhua Shen · Mingkui Tan
• 2018 : Poster presentations »
  Simon Wiedemann · Huan Wang · Ivan Zhang · Chong Wang · Mohammad Javad Shafiee · Rachel Manzelli · Wenbing Huang · Tassilo Klein · Lifu Zhang · Ashutosh Adhikari · Faisal Qureshi · Giuseppe Castiglione
• 2018 Workshop: Modeling the Physical World: Learning, Perception, and Control »
  Jiajun Wu · Kelsey Allen · Kevin Smith · Jessica Hamrick · Emmanuel Dupoux · Marc Toussaint · Josh Tenenbaum
• 2018 Poster: Learning to Reconstruct Shapes from Unseen Classes »
  Xiuming Zhang · Zhoutong Zhang · Chengkai Zhang · Josh Tenenbaum · Bill Freeman · Jiajun Wu
• 2018 Oral: Learning to Reconstruct Shapes from Unseen Classes »
  Xiuming Zhang · Zhoutong Zhang · Chengkai Zhang · Josh Tenenbaum · Bill Freeman · Jiajun Wu
• 2018 Poster: Visual Object Networks: Image Generation with Disentangled 3D Representations »
  Jun-Yan Zhu · Zhoutong Zhang · Chengkai Zhang · Jiajun Wu · Antonio Torralba · Josh Tenenbaum · Bill Freeman
• 2018 Poster: Discrimination-aware Channel Pruning for Deep Neural Networks »
  Zhuangwei Zhuang · Mingkui Tan · Bohan Zhuang · Jing Liu · Yong Guo · Qingyao Wu · Junzhou Huang · Jinhui Zhu
• 2018 Poster: Meta-Learning MCMC Proposals »
  Tongzhou Wang · YI WU · Dave Moore · Stuart Russell
• 2018 Poster: A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents »
  YAN ZHENG · Zhaopeng Meng · Jianye Hao · Zongzhang Zhang · Tianpei Yang · Changjie Fan
• 2018 Poster: Learning to Exploit Stability for 3D Scene Parsing »
  Yilun Du · Zhijian Liu · Hector Basevi · Ales Leonardis · Bill Freeman · Josh Tenenbaum · Jiajun Wu
• 2018 Poster: Weakly Supervised Dense Event Captioning in Videos »
  Xin Wang · Wenbing Huang · Chuang Gan · Jingdong Wang · Wenwu Zhu · Junzhou Huang
• 2018 Poster: Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding »
  Kexin Yi · Jiajun Wu · Chuang Gan · Antonio Torralba · Pushmeet Kohli · Josh Tenenbaum
• 2018 Poster: Video Prediction via Selective Sampling »
  Jingwei Xu · Bingbing Ni · Xiaokang Yang
• 2018 Poster: 3D-Aware Scene Manipulation via Inverse Graphics »
  Shunyu Yao · Tzu Ming Hsu · Jun-Yan Zhu · Jiajun Wu · Antonio Torralba · Bill Freeman · Josh Tenenbaum
• 2018 Spotlight: Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding »
  Kexin Yi · Jiajun Wu · Chuang Gan · Antonio Torralba · Pushmeet Kohli · Josh Tenenbaum
• 2018 Poster: Adaptive Sampling Towards Fast Graph Representation Learning »
  Wenbing Huang · Tong Zhang · Yu Rong · Junzhou Huang
• 2017 Spotlight: Shape and Material from Sound »
  Zhoutong Zhang · Qiujia Li · Zhengjia Huang · Jiajun Wu · Josh Tenenbaum · Bill Freeman
• 2017 Spotlight: Scene Physics Acquisition via Visual De-animation »
  Jiajun Wu · Erika Lu · Pushmeet Kohli · Bill Freeman · Josh Tenenbaum
• 2017 Poster: Learning to See Physics via Visual De-animation »
  Jiajun Wu · Erika Lu · Pushmeet Kohli · Bill Freeman · Josh Tenenbaum
• 2017 Poster: Shape and Material from Sound »
  Zhoutong Zhang · Qiujia Li · Zhengjia Huang · Jiajun Wu · Josh Tenenbaum · Bill Freeman
• 2017 Poster: Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments »
  Ryan Lowe · YI WU · Aviv Tamar · Jean Harb · OpenAI Pieter Abbeel · Igor Mordatch
• 2017 Poster: MarrNet: 3D Shape Reconstruction via 2.5D Sketches »
  Jiajun Wu · Yifan Wang · Tianfan Xue · Xingyuan Sun · Bill Freeman · Josh Tenenbaum
• 2017 Poster: Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding »
  Wenbing Huang · Mehrtash Harandi · Tong Zhang · Lijie Fan · Fuchun Sun · Junzhou Huang
• 2017 Poster: Self-Supervised Intrinsic Image Decomposition »
  Michael Janner · Jiajun Wu · Tejas Kulkarni · Ilker Yildirim · Josh Tenenbaum
• 2017 Poster: Wasserstein Learning of Deep Generative Point Process Models »
  Shuai Xiao · Mehrdad Farajtabar · Xiaojing Ye · Junchi Yan · Xiaokang Yang · Le Song · Hongyuan Zha
• 2017 Poster: Subset Selection under Noise »
  Chao Qian · Jing-Cheng Shi · Yang Yu · Ke Tang · Zhi-Hua Zhou
• 2016 Workshop: Intuitive Physics »
  Adam Lerer · Jiajun Wu · Josh Tenenbaum · Emmanuel Dupoux · Rob Fergus
• 2016 Poster: Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling »
  Jiajun Wu · Chengkai Zhang · Tianfan Xue · Bill Freeman · Josh Tenenbaum
• 2016 Poster: Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks »
  Tianfan Xue · Jiajun Wu · Katherine Bouman · Bill Freeman
• 2016 Oral: Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks »
  Tianfan Xue · Jiajun Wu · Katherine Bouman · Bill Freeman
• 2016 Poster: Value Iteration Networks »
  Aviv Tamar · Sergey Levine · Pieter Abbeel · YI WU · Garrett Thomas
• 2016 Oral: Value Iteration Networks »
  Aviv Tamar · Sergey Levine · Pieter Abbeel · YI WU · Garrett Thomas
• 2015 Poster: Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning »
  Jiajun Wu · Ilker Yildirim · Joseph Lim · Bill Freeman · Josh Tenenbaum
• 2014 Workshop: 3rd NIPS Workshop on Probabilistic Programming »
  Daniel Roy · Josh Tenenbaum · Thomas Dietterich · Stuart J Russell · YI WU · Ulrik R Beierholm · Alp Kucukelbir · Zenna Tavares · Yura Perov · Daniel Lee · Brian Ruttenberg · Sameer Singh · Michael Hughes · Marco Gaboardi · Alexey Radul · Vikash Mansinghka · Frank Wood · Sebastian Riedel · Prakash Panangaden