Stochastic Gradient Geodesic MCMC Methods. - Chang Liu 030; Jun Zhu 001; Yang Song 011 (NIPS, 2016)

Riemannian Stein Variational Gradient Descent for Bayesian Inference. - Chang Liu 030; Jun Zhu 001 (AAAI, 2018)

Message Passing Stein Variational Gradient Descent. - Jingwei Zhuo; Chang Liu 030; Jiaxin Shi; Jun Zhu 001; Ning Chen 002; Bo Zhang 010 (ICML, 2018)

Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference. - Chang Liu 030; Jingwei Zhuo; Pengyu Cheng; Ruiyi Zhang 002; Jun Zhu 001; Lawrence Carin (CoRR, 2018)

Understanding MCMC Dynamics as Flows on the Wasserstein Space. - Chang Liu 030; Jingwei Zhuo; Jun Zhu 001 (ICML, 2019)

Understanding and Accelerating Particle-Based Variational Inference. - Chang Liu 030; Jingwei Zhuo; Pengyu Cheng; Ruiyi Zhang 002; Jun Zhu 001 (ICML, 2019)

Variational Annealing of GANs: A Langevin Perspective. - Chenyang Tao; Shuyang Dai; Liqun Chen 001; Ke Bai 001; Junya Chen; Chang Liu 030; Ruiyi Zhang 002; Georgiy V. Bobashev; Lawrence Carin (ICML, 2019)

Straight-Through Estimator as Projected Wasserstein Gradient Flow. - Pengyu Cheng; Chang Liu 030; Chunyuan Li; Dinghan Shen; Ricardo Henao; Lawrence Carin (CoRR, 2019)

Invertible Image Rescaling. - Mingqing Xiao 002; Shuxin Zheng; Chang Liu 030; Yaolong Wang; Di He 001; Guolin Ke; Jiang Bian 002; Zhouchen Lin; Tie-Yan Liu (ECCV (1), 2020)

Variance Reduction and Quasi-Newton for Particle-Based Variational Inference. - Michael Zhu; Chang Liu 030; Jun Zhu 001 (ICML, 2020)

Modeling Lost Information in Lossy Image Compression. - Yaolong Wang; Mingqing Xiao 002; Chang Liu 030; Shuxin Zheng; Tie-Yan Liu (CoRR, 2020)

Learning to Match Distributions for Domain Adaptation. - Chaohui Yu; Jindong Wang 001; Chang Liu 030; Tao Qin 001; Renjun Xu; Wenjie Feng 001; Yiqiang Chen 001; Tie-Yan Liu (CoRR, 2020)

Learning Causal Semantic Representation for Out-of-Distribution Prediction. - Chang Liu 030; Xinwei Sun 001; Jindong Wang 001; Tao Li 040; Tao Qin 001; Wei Chen 034; Tie-Yan Liu (CoRR, 2020)

Latent Causal Invariant Model. - Xinwei Sun 001; Botong Wu; Chang Liu 030; Xiangyu Zheng; Wei Chen 034; Tao Qin 001; Tie-Yan Liu (CoRR, 2020)

Towards Generating Real-World Time Series Data. - Hengzhi Pei; Kan Ren; Yuqing Yang 001; Chang Liu 030; Tao Qin 001; Dongsheng Li 002 (ICDM, 2021)

Generalizing to Unseen Domains: A Survey on Domain Generalization. - Jindong Wang 001; Cuiling Lan; Chang Liu 030; Yidong Ouyang; Tao Qin 001 (IJCAI, 2021)

Learning Causal Semantic Representation for Out-of-Distribution Prediction. - Chang Liu 030; Xinwei Sun 001; Jindong Wang 001; Haoyue Tang; Tao Li 040; Tao Qin 001; Wei Chen 034; Tie-Yan Liu (NeurIPS, 2021)

On the Generative Utility of Cyclic Conditionals. - Chang Liu 030; Haoyue Tang; Tao Qin 001; Jintao Wang; Tie-Yan Liu (NeurIPS, 2021)

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning. - Jongjin Park; Younggyo Seo; Chang Liu 030; Li Zhao 007; Tao Qin 001; Jinwoo Shin; Tie-Yan Liu (NeurIPS, 2021)

Recovering Latent Causal Factor for Generalization to Distributional Shifts. - Xinwei Sun 001; Botong Wu; Xiangyu Zheng; Chang Liu 030; Wei Chen 034; Tao Qin 001; Tie-Yan Liu (NeurIPS, 2021)

Learning Invariant Representations across Domains and Tasks. - Jindong Wang 001; Wenjie Feng 001; Chang Liu 030; Chaohui Yu; Mingxuan Du; Renjun Xu; Tao Qin 001; Tie-Yan Liu (CoRR, 2021)

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior. - Sang-gil Lee; Heeseung Kim; Chaehun Shin; Xu Tan 003; Chang Liu 030; Qi Meng; Tao Qin 001; Wei Chen 034; Sungroh Yoon; Tie-Yan Liu (CoRR, 2021)

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior. - Sang-gil Lee; Heeseung Kim; Chaehun Shin; Xu Tan 003; Chang Liu 030; Qi Meng; Tao Qin 001; Wei Chen 034; Sungroh Yoon; Tie-Yan Liu (ICLR, 2022)

Sampling with Mirrored Stein Operators. - Jiaxin Shi; Chang Liu 030; Lester Mackey (ICLR, 2022)

Distilling Representations from GAN Generator via Squeeze and Span. - Yu Yang 011; Xiaotian Cheng; Chang Liu 030; Hakan Bilen; Xiangyang Ji (NeurIPS, 2022)

Direct Molecular Conformation Generation. - Jinhua Zhu 001; Yingce Xia; Chang Liu 030; Lijun Wu 003; Shufang Xie 003; Tong Wang 014; Yusong Wang; Wengang Zhou 001; Tao Qin 001; Houqiang Li; Tie-Yan Liu (CoRR, 2022)

Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets. - Yu Shi; Shuxin Zheng; Guolin Ke; Yifei Shen; Jiacheng You; Jiyan He; Shengjie Luo; Chang Liu 030; Di He 001; Tie-Yan Liu (CoRR, 2022)

PCR: Pessimistic Consistency Regularization for Semi-Supervised Segmentation. - Pengchong Qiao; Zhidan Wei; Yu Wang; Chang Liu 030; Zhennan Wang 001; Guoli Song; Jie Chen 001 (CoRR, 2022)

Local Manifold Augmentation for Multiview Semantic Consistency. - Yu Yang 011; Wing Yin Cheung; Chang Liu 030; Xiangyang Ji (CoRR, 2022)

Proposal Distribution Calibration for Few-Shot Object Detection. - Bohao Li; Chang Liu 030; Mengnan Shi; Xiaozhong Chen; Xiangyang Ji; Qixiang Ye (CoRR, 2022)

DQnet: Cross-Model Detail Querying for Camouflaged Object Detection. - Wei Sun; Chengao Liu; Linyan Zhang; Yu Li; Pengxu Wei; Chang Liu 030; Jialing Zou; Jianbin Jiao; Qixiang Ye (CoRR, 2022)

Direct Molecular Conformation Generation. - Jinhua Zhu 001; Yingce Xia; Chang Liu 030; Lijun Wu 003; Shufang Xie 003; Yusong Wang; Tong Wang 014; Tao Qin 001; Wengang Zhou 001; Houqiang Li; Haiguang Liu; Tie-Yan Liu (Trans. Mach. Learn. Res., 2022)

ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation. - Qiran Zou; Yu Yang 011; Wing Yin Cheung; Chang Liu 030; Xiangyang Ji (AAAI, 2023)

Spatio-Temporal Graph Diffusion for Text-Driven Human Motion Generation. - Chang Liu 030; Mengyi Zhao; Bin Ren; Mengyuan Liu; Nicu Sebe (BMVC, 2023)

ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation. - Kehan Li 002; Zhennan Wang 001; Zesen Cheng; Runyi Yu 002; Yian Zhao; Guoli Song; Chang Liu 030; Li Yuan 007; Jie Chen 001 (CVPR, 2023)

Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation. - Zesen Cheng; Pengchong Qiao; Kehan Li 002; Siheng Li; Pengxu Wei; Xiangyang Ji; Li Yuan 007; Chang Liu 030; Jie Chen 001 (CVPR, 2023)

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning. - Peng Jin 001; Jinfa Huang; Pengfei Xiong; Shangxuan Tian; Chang Liu 030; Xiangyang Ji; Li Yuan 007; Jie Chen 001 (CVPR, 2023)

Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation. - Pengchong Qiao; Zhidan Wei; Yu Wang; Zhennan Wang 001; Guoli Song; Fan Xu; Xiangyang Ji; Chang Liu 030; Jie Chen 001 (CVPR, 2023)

Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning. - Yu Wang; Pengchong Qiao; Chang Liu 030; Guoli Song; Xiawu Zheng; Jie Chen 001 (CVPR, 2023)

DiffusionRet: Generative Text-Video Retrieval with Diffusion Model. - Peng Jin 001; Hao Li 073; Zesen Cheng; Kehan Li 002; Xiangyang Ji; Chang Liu 030; Li Yuan 007; Jie Chen 001 (ICCV, 2023)

Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation. - Kehan Li 002; Yian Zhao; Zhennan Wang 001; Zesen Cheng; Peng Jin 001; Xiangyang Ji; Li Yuan 007; Chang Liu 030; Jie Chen 001 (ICCV, 2023)

TopoSeg: Topology-Aware Nuclear Instance Segmentation. - Hongliang He; Jun Wang; Pengxu Wei; Fan Xu; Xiangyang Ji; Chang Liu 030; Jie Chen 001 (ICCV, 2023)

Towards Real-World Burst Image Super-Resolution: Benchmark and Method. - Pengxu Wei; Yujing Sun 004; Xingbei Guo; Chang Liu 030; Guanbin Li; Jie Chen 001; Xiangyang Ji; Liang Lin (ICCV, 2023)

LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer Normalization. - Runyi Yu 002; Zhennan Wang 001; Yinhuai Wang; Kehan Li 002; Chang Liu 030; Haoyi Duan; Xiangyang Ji; Jie Chen 001 (ICCV, 2023)

Complementary Attention for Multi-Agent Reinforcement Learning. - Jianzhun Shao; Hongchang Zhang; Yun Qu 002; Chang Liu 030; Shuncheng He; Yuhang Jiang; Xiangyang Ji (ICML, 2023)

WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation. - Zesen Cheng; Peng Jin 001; Hao Li 073; Kehan Li 002; Siheng Li; Xiangyang Ji; Chang Liu 030; Jie Chen 001 (IJCAI, 2023)

Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment. - Peng Jin 001; Hao Li 073; Zesen Cheng; Jinfa Huang; Zhennan Wang 001; Li Yuan 007; Chang Liu 030; Jie Chen 001 (IJCAI, 2023)

TG-VQA: Ternary Game of Video Question Answering. - Hao Li 073; Peng Jin 001; Zesen Cheng; Songyang Zhang; Kai Chen 026; Zhennan Wang 001; Chang Liu 030; Jie Chen 001 (IJCAI, 2023)

Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning. - Yu Wang; Zhun Zhong; Pengchong Qiao; Xuxin Cheng; Xiawu Zheng; Chang Liu 030; Nicu Sebe; Rongrong Ji; Jie Chen 001 (NeurIPS, 2023)

Disjoint Masking with Joint Distillation for Efficient Masked Image Modeling. - Xin Ma; Chang Liu 030; Chunyu Xie; Long Ye; Yafeng Deng; Xiangyang Ji (CoRR, 2023)

Parallel Vertex Diffusion for Unified Visual Grounding. - Zesen Cheng; Kehan Li 002; Peng Jin 001; Xiangyang Ji; Li Yuan 007; Chang Liu 030; Jie Chen 001 (CoRR, 2023)

Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning. - Shuxin Zheng; Jiyan He; Chang Liu 030; Yu Shi; Ziheng Lu; Weitao Feng 001; Fusong Ju; Jiaxi Wang; Jianwei Zhu; Yaosen Min; He Zhang; Shidi Tang; et al. (CoRR, 2023)

Towards Real-World Burst Image Super-Resolution: Benchmark and Method. - Pengxu Wei; Yujing Sun 004; Xingbei Guo; Chang Liu 030; Jie Chen 001; Xiangyang Ji; Liang Lin (CoRR, 2023)

M-OFDFT: Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning. - He Zhang; Siyuan Liu 005; Jiacheng You; Chang Liu 030; Shuxin Zheng; Ziheng Lu; Tong Wang 014; Nanning Zheng 001; Bin Shao (CoRR, 2023)

FreestyleRet: Retrieving Images from Style-Diversified Queries. - Hao Li 073; Curise Jia; Peng Jin 001; Zesen Cheng; Kehan Li 002; Jialu Sui; Chang Liu 030; Li Yuan 007 (CoRR, 2023)

Invertible Rescaling Network and Its Extensions. - Mingqing Xiao 002; Shuxin Zheng; Chang Liu 030; Zhouchen Lin; Tie-Yan Liu (Int. J. Comput. Vis., 2023)

Generalizing to Unseen Domains: A Survey on Domain Generalization. - Jindong Wang 001; Cuiling Lan; Chang Liu 030; Yidong Ouyang; Tao Qin 001; Wang Lu; Yiqiang Chen 001; Wenjun Zeng 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Parallel Vertex Diffusion for Unified Visual Grounding. - Zesen Cheng; Kehan Li 002; Peng Jin 001; Siheng Li; Xiangyang Ji; Li Yuan 007; Chang Liu 030; Jie Chen 001 (AAAI, 2024)

MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results. - Xin Jin 005; Chunle Guo; Xiaoming Li 002; Zongsheng Yue; Chongyi Li; Shangchen Zhou; Ruicheng Feng; Yuekun Dai; Peiqing Yang 001; Chen Change Loy; Ruoqi Li; Chang Liu 030; et al. (CVPR Workshops, 2024)

From Synthetic to Real: A Calibration-free Pipeline for Few-shot Raw Image Denoising. - Ruoqi Li; Chang Liu 030; Ziyi Wang 006; Yao Du; Jingjing Yang; Long Bao; Heng Sun (CVPR Workshops, 2024)

GraCo: Granularity-Controllable Interactive Segmentation. - Yian Zhao; Kehan Li 002; Zesen Cheng; Pengchong Qiao; Xiawu Zheng; Rongrong Ji; Chang Liu 030; Li Yuan 007; Jie Chen 001 (CVPR, 2024)

ParCo: Part-Coordinating Text-to-Motion Synthesis. - Qiran Zou; Shangyuan Yuan; Shian Du; Yu Wang; Chang Liu 030; Yi Xu; Jie Chen 001; Xiangyang Ji (ECCV (56), 2024)

Kepler codebook. - Junrong Lian; Ziyue Dong; Pengxu Wei; Wei Ke 003; Chang Liu 030; Qixiang Ye; Xiangyang Ji; Liang Lin (ICML, 2024)

LLM-Empowered State Representation for Reinforcement Learning. - Boyuan Wang; Yun Qu 002; Yuhang Jiang; Jianzhun Shao; Chang Liu 030; Wenming Yang; Xiangyang Ji (ICML, 2024)

Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction. - He Zhang; Chang Liu 030; Zun Wang; Xinran Wei; Siyuan Liu 005; Nanning Zheng 001; Bin Shao; Tie-Yan Liu (ICML, 2024)

UVMap-ID: A Controllable and Personalized UV Map Generative Model. - Weijie Wang; Jichao Zhang; Chang Liu 030; Xia Li 005; Xingqian Xu; Humphrey Shi; Nicu Sebe; Bruno Lepri (ACM Multimedia, 2024)

Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning. - Yuxuan Ren; Dihan Zheng; Chang Liu 030; Peiran Jin; Yu Shi; Lin Huang; Jiyan He; Shengjie Luo; Tao Qin 001; Tie-Yan Liu (NeurIPS, 2024)

Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models. - Zun Wang; Chang Liu 030; Nianlong Zou; He Zhang; Xinran Wei; Lin Huang; Lijun Wu 003; Bin Shao (NeurIPS, 2024)

Instance Brownian Bridge as Texts for Open-vocabulary Video Instance Segmentation. - Zesen Cheng; Kehan Li 002; Hao Li 073; Peng Jin 001; Chang Liu 030; Xiawu Zheng; Rongrong Ji; Jie Chen 001 (CoRR, 2024)

FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation. - Pengchong Qiao; Lei Shang; Chang Liu 030; Baigui Sun; Xiangyang Ji; Jie Chen 001 (CoRR, 2024)

Self-Consistency Training for Hamiltonian Prediction. - He Zhang; Chang Liu 030; Zun Wang; Xinran Wei; Siyuan Liu 005; Nanning Zheng 001; Bin Shao; Tie-Yan Liu (CoRR, 2024)

Make Your Actor Talk: Generalizable and High-Fidelity Lip Sync with Motion and Appearance Disentanglement. - Runyi Yu 002; Tianyu He; Ailing Zhang; Yuchi Wang; Junliang Guo; Xu Tan 003; Chang Liu 030; Jie Chen 001; Jiang Bian 002 (CoRR, 2024)

Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation. - Peng Jin 001; Hao Li 073; Zesen Cheng; Kehan Li 002; Runyi Yu 002; Chang Liu 030; Xiangyang Ji; Li Yuan 007; Jie Chen 001 (CoRR, 2024)

Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration. - Yun Qu 002; Boyuan Wang; Yuhang Jiang; Jianzhun Shao; Yixiu Mao; Cheems Wang; Chang Liu 030; Xiangyang Ji (CoRR, 2024)

Predicting equilibrium distributions for molecular systems with deep learning. - Shuxin Zheng; Jiyan He; Chang Liu 030; Yu Shi; Ziheng Lu; Weitao Feng 001; Fusong Ju; Jiaxi Wang; Jianwei Zhu; Yaosen Min; He Zhang; Shidi Tang; et al. (Nat. Mac. Intell., 2024)

Author Correction: Predicting equilibrium distributions for molecular systems with deep learning. - Shuxin Zheng; Jiyan He; Chang Liu 030; Yu Shi; Ziheng Lu; Weitao Feng 001; Fusong Ju; Jiaxi Wang; Jianwei Zhu; Yaosen Min; He Zhang; Shidi Tang; et al. (Nat. Mac. Intell., 2024)

Overcoming the barrier of orbital-free density functional theory for molecular systems using deep learning. - He Zhang; Siyuan Liu 005; Jiacheng You; Chang Liu 030; Shuxin Zheng; Ziheng Lu; Tong Wang 014; Nanning Zheng 001; Bin Shao (Nat. Comput. Sci., 2024)

Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning. - Yun Qu 002; Yuhang Jiang; Boyuan Wang; Yixiu Mao; Cheems Wang; Chang Liu 030; Xiangyang Ji (AAAI, 2025)

DigitalLLaVA: Incorporating Digital Cognition Capability for Physical World Comprehension in Multimodal LLMs. - Shiyu Li; Pengxu Wei; Pengchong Qiao; Chang Liu 030; Jie Chen 001 (AAAI, 2025)

Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems. - Yunyang Li; Zaishuo Xia; Lin Huang; Xinran Wei; Samuel Harshe; Han Yang; Erpai Luo; Zun Wang; Jia Zhang 004; Chang Liu 030; Bin Shao; Mark Gerstein (ICLR, 2025)

Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance. - Liya Guo; Zun Wang; Chang Liu 030; Junzhe Li; Pipi Hu; Yi Zhu 010; Tao Qin 001 (Trans. Mach. Learn. Res., 2025)

E2Former: A Linear-time Efficient and Equivariant Transformer for Scalable Molecular Modeling. - Yunyang Li; Lin Huang; Zhihao Ding; Chu Wang; Xinran Wei; Han Yang; Zun Wang; Chang Liu 030; Yu Shi; Peiran Jin; Jia Zhang 004; Mark Gerstein; et al. (CoRR, 2025)

NatureLM: Deciphering the Language of Nature for Scientific Discovery. - Yingce Xia; Peiran Jin; Shufang Xie 003; Liang He 010; Chuan Cao; Renqian Luo; Guoqing Liu; Yue Wang 017; Zequn Liu; Yuan-Jyue Chen; Zekun Guo; Yeqi Bai; et al. (CoRR, 2025)

Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems. - Yunyang Li; Zaishuo Xia; Lin Huang; Xinran Wei; Han Yang; Sam Harshe; Zun Wang; Chang Liu 030; Jia Zhang 004; Bin Shao; Mark B. Gerstein (CoRR, 2025)

UniGenX: Unified Generation of Sequence and Structure with Autoregressive Diffusion. - Gongbo Zhang; Yanting Li; Renqian Luo; Pipi Hu; Zeru Zhao; Lingbo Li; Guoqing Liu; Zun Wang; Ran Bi; Kaiyuan Gao; Liya Guo; Yu Xie; et al. (CoRR, 2025)

MagicComp: Training-free Dual-Phase Refinement for Compositional Video Generation. - Hongyu Zhang 002; Yufan Deng; Shenghai Yuan; Peng Jin 001; Zesen Cheng; Yian Zhao; Chang Liu 030; Jie Chen 001 (CoRR, 2025)

Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance. - Liya Guo; Zun Wang; Chang Liu 030; Junzhe Li; Pipi Hu; Yi Zhu 010 (CoRR, 2025)

Adaptive Fuzzy Positive Learning for Annotation-Scarce Semantic Segmentation. - Pengchong Qiao; Yu Wang; Chang Liu 030; Lei Shang; Baigui Sun; Zhennan Wang 001; Xiawu Zheng; Rongrong Ji; Jie Chen 001 (Int. J. Comput. Vis., 2025)

Diagnosing and Improving Diffusion Models by Estimating the Optimal Loss Value. - Yixian Xu; Shengjie Luo; Liwei Wang 001; Di He 001; Chang Liu 030 (CoRR, 2025)