Fast Algorithm for Approximate k-Nearest Neighbor Graph Construction. - Dilin Wang; Lei Shi 015; Jianwen Cao 001 (ICDM Workshops, 2013)

Entity Disambiguation by Knowledge and Text Jointly Embedding. - Wei Fang; Jianwen Zhang; Dilin Wang; Zheng Chen 001; Ming Li (CoNLL, 2016)

Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm. - Qiang Liu 001; Dilin Wang (NIPS, 2016)

Efficient Observation Selection in Probabilistic Graphical Models Using Bayesian Lower Bounds. - Dilin Wang; John W. Fisher III; Qiang Liu 001 (UAI, 2016)

Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning. - Dilin Wang; Qiang Liu 001 (CoRR, 2016)

Learning to Draw Samples with Amortized Stein Variational Gradient Descent. - Yihao Feng; Dilin Wang; Qiang Liu 001 (UAI, 2017)

Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE. - Qiang Liu 001; Dilin Wang (CoRR, 2017)

Structured Stein Variational Inference for Continuous Graphical Models. - Dilin Wang; Zhe Zeng; Qiang Liu 001 (CoRR, 2017)

An Optimization View on Dynamic Routing Between Capsules. - Dilin Wang; Qiang Liu 001 (ICLR (Workshop), 2018)

Stein Variational Message Passing for Continuous Graphical Models. - Dilin Wang; Zhe Zeng; Qiang Liu 001 (ICML, 2018)

Stein Variational Gradient Descent as Moment Matching. - Qiang Liu 001; Dilin Wang (NeurIPS, 2018)

Variational Inference with Tail-adaptive f-Divergence. - Dilin Wang; Hao Liu; Qiang Liu 001 (NeurIPS, 2018)

Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning. - ChengYue Gong; Zixuan Jiang; Dilin Wang; Yibo Lin; Qiang Liu 001; David Z. Pan (ICCAD, 2019)

Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models. - Dilin Wang; Qiang Liu 001 (ICML, 2019)

Improving Neural Language Modeling via Adversarial Training. - Dilin Wang; ChengYue Gong; Qiang Liu 001 (ICML, 2019)

Stein Variational Gradient Descent With Matrix-Valued Kernels. - Dilin Wang; Ziyang Tang; Chandrajit Bajaj; Qiang Liu 001 (NeurIPS, 2019)

Splitting Steepest Descent for Growing Neural Architectures. - Lemeng Wu; Dilin Wang; Qiang Liu 001 (NeurIPS, 2019)

Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent. - Dilin Wang; Meng Li 004; Lemeng Wu; Vikas Chandra; Qiang Liu 001 (CoRR, 2019)

AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence. - Chengyue Gong; Dilin Wang; Qiang Liu 001 (CVPR, 2021)

KeepAugment: A Simple Information-Preserving Data Augmentation Approach. - Chengyue Gong; Dilin Wang; Meng Li 004; Vikas Chandra; Qiang Liu 001 (CVPR, 2021)

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. - Dilin Wang; Meng Li 004; Chengyue Gong; Vikas Chandra (CVPR, 2021)

AlphaNet: Improved Training of Supernets with Alpha-Divergence. - Dilin Wang; Chengyue Gong; Meng Li 004; Qiang Liu 001; Vikas Chandra (ICML, 2021)

AlphaNet: Improved Training of Supernet with Alpha-Divergence. - Dilin Wang; Chengyue Gong; Meng Li 004; Qiang Liu 001; Vikas Chandra (CoRR, 2021)

Improve Vision Transformers Training by Suppressing Over-smoothing. - Chengyue Gong; Dilin Wang; Meng Li 004; Vikas Chandra; Qiang Liu 001 (CoRR, 2021)

Noisy Training Improves E2E ASR for the Edge. - Dilin Wang; Yuan Shangguan; Haichuan Yang; Pierce Chuang; Jiatong Zhou; Meng Li 004; Ganesh Venkatesh; Ozlem Kalinli; Vikas Chandra (CoRR, 2021)

Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. - Jiaqi Gu 002; Hyoukjun Kwon; Dilin Wang; Wei Ye 008; Meng Li 004; Yu-Hsin Chen; Liangzhen Lai; Vikas Chandra; David Z. Pan (CVPR, 2022)

Streaming Transformer Transducer based Speech Recognition Using Non-Causal Convolution. - Yangyang Shi; Chunyang Wu; Dilin Wang; Alex Xiao; Jay Mahadeokar; Xiaohui Zhang 007; Chunxi Liu; Ke Li 023; Yuan Shangguan; Varun Nagaraja; Ozlem Kalinli; Mike Seltzer (ICASSP, 2022)

Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. - Haichuan Yang; Yuan Shangguan; Dilin Wang; Meng Li 004; Pierce Chuang; Xiaohui Zhang 007; Ganesh Venkatesh; Ozlem Kalinli; Vikas Chandra (ICASSP, 2022)

NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training. - Chengyue Gong; Dilin Wang; Meng Li 004; Xinlei Chen; Zhicheng Yan 001; Yuandong Tian; Qiang Liu 001; Vikas Chandra (ICLR, 2022)

Fast Point Cloud Generation with Straight Flows. - Lemeng Wu; Dilin Wang; Chengyue Gong; Xingchao Liu; Yunyang Xiong; Rakesh Ranjan; Raghuraman Krishnamoorthi; Vikas Chandra; Qiang Liu 001 (CVPR, 2023)

Temporally Consistent Online Depth Estimation in Dynamic Scenes. - Zhaoshuo Li; Wei Ye; Dilin Wang; Francis X. Creighton; Russell H. Taylor; Ganesh Venkatesh; Mathias Unberath (WACV, 2023)

Drag View: Generalizable Novel View Synthesis with Unposed Imagery. - Zhiwen Fan; Panwang Pan; Peihao Wang; Yifan Jiang 001; Hanwen Jiang; Dejia Xu; Zehao Zhu; Dilin Wang; Zhangyang Wang (CoRR, 2023)

PathFusion: Path-Consistent Lidar-Camera Deep Feature Fusion. - Lemeng Wu; Dilin Wang; Meng Li 004; Yunyang Xiong; Raghuraman Krishnamoorthi; Qiang Liu 001; Vikas Chandra (3DV, 2024)

Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts. - Ganesh Jawahar; Haichuan Yang; Yunyang Xiong; Zechun Liu; Dilin Wang; Fei Sun; Meng Li 004; Aasish Pappu; Barlas Oguz; Muhammad Abdul-Mageed; Laks V. S. Lakshmanan; Raghuraman Krishnamoorthi; et al. (ACL (Findings), 2024)

Taming Mode Collapse in Score Distillation for Text-to-3D Generation. - Peihao Wang; Dejia Xu; Zhiwen Fan; Dilin Wang; Sreyas Mohan; Forrest N. Iandola; Rakesh Ranjan; Yilei Li; Qiang Liu 001; Zhangyang Wang; Vikas Chandra (CVPR, 2024)

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything. - Yunyang Xiong; Bala Varadarajan; Lemeng Wu; Xiaoyu Xiang; Fanyi Xiao; Chenchen Zhu; Xiaoliang Dai; Dilin Wang; Fei Sun; Forrest N. Iandola; Raghuraman Krishnamoorthi; Vikas Chandra (CVPR, 2024)

POCA: Post-training Quantization with Temporal Alignment for Codec Avatars. - Jian Meng; Yuecheng Li; Chenghui Li; Syed Shakib Sarwar; Dilin Wang; Jae-sun Seo (ECCV (40), 2024)

MVDiffusion++: A Dense High-Resolution Multi-view Diffusion Model for Single or Sparse-View 3D Object Reconstruction. - Shitao Tang; Jiacheng Chen; Dilin Wang; Chengzhou Tang; Fuyang Zhang; Yuchen Fan; Vikas Chandra; Yasutaka Furukawa; Rakesh Ranjan (ECCV (16), 2024)

TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-Device ASR Models. - Yuan Shangguan; Haichuan Yang; Danni Li; Chunyang Wu; Yassir Fathullah; Dilin Wang; Ayushi Dalmia; Raghuraman Krishnamoorthi; Ozlem Kalinli; Junteng Jia; Jay Mahadeokar; Xin Lei; et al. (ICASSP, 2024)

Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once. - Zhangheng Li; Shiwei Liu 003; Tianlong Chen 001; Ajay Kumar Jaiswal; Zhenyu Zhang 015; Dilin Wang; Raghuraman Krishnamoorthi; Shiyu Chang; Zhangyang Wang (ICML, 2024)

3D Mesh Editing using Masked LRMs. - Will Gao; Dilin Wang; Yuchen Fan; Aljaz Bozic; Tuur Stuyck; Zhengqin Li; Zhao Dong 001; Rakesh Ranjan; Nikolaos Sarafianos (CoRR, 2024)

SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. - Peihao Wang; Zhiwen Fan; Dejia Xu; Dilin Wang; Sreyas Mohan; Forrest N. Iandola; Rakesh Ranjan; Yilei Li; Qiang Liu 001; Zhangyang Wang; Vikas Chandra (AISTATS, 2025)

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields. - Zhengqin Li; Dilin Wang; Ka Chen; Zhaoyang Lv; Thu Nguyen-Phuoc; Milim Lee; Jia-Bin Huang; Lei Xiao; Yufeng Zhu; Carl S. Marshall; Yuheng Ren; Richard A. Newcombe; et al. (CVPR, 2025)

UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping. - Aashish Rai; Dilin Wang; Mihir Jain; Nikolaos Sarafianos; Kefan Chen; Srinath Sridhar 002; Aayush Prakash (CVPR, 2025)

MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds. - Zhenggang Tang; Yuchen Fan; Dilin Wang; Hongyu Xu; Rakesh Ranjan; Alexander G. Schwing; Zhicheng Yan 001 (CVPR, 2025)

Steepest Descent Density Control for Compact 3D Gaussian Splatting. - Peihao Wang; Yuehao Wang; Dilin Wang; Sreyas Mohan; Zhiwen Fan; Lemeng Wu; Ruisi Cai; Yu-Ying Yeh; Zhangyang Wang; Qiang Liu 001; Rakesh Ranjan (CVPR, 2025)

VideoLifter: Lifting Videos to 3D with Fast Hierarchical Stereo Alignment. - Wenyan Cong; Kevin Wang; Jiahui Lei; Colton Stearns; Yuanhao Cai; Dilin Wang; Rakesh Ranjan; Matt Feiszli; Leonidas J. Guibas; Zhangyang Wang; Weiyao Wang 001; Zhiwen Fan (CoRR, 2025)

LIRM: Large Inverse Rendering Model for Progressive Reconstruction of Shape, Materials and View-dependent Radiance Fields. - Zhengqin Li; Dilin Wang; Ka Chen; Zhaoyang Lv; Thu Nguyen-Phuoc; Milim Lee; Jia-Bin Huang; Lei Xiao; Cheng Zhang; Yufeng Zhu; Carl S. Marshall; Yufeng Ren; et al. (CoRR, 2025)

VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction. - Zhiwen Fan; Jian Zhang; Renjie Li 003; Junge Zhang; Runjin Chen; Hezhen Hu; Kevin Wang; Huaizhi Qu; Dilin Wang; Zhicheng Yan 001; Hongyu Xu; Justin Theiss; et al. (CoRR, 2025)

AutoPartGen: Autogressive 3D Part Generation and Discovery. - Minghao Chen; Jianyuan Wang; Roman Shapovalov; Tom Monnier; Hyunyoung Jung 003; Dilin Wang; Rakesh Ranjan; Iro Laina; Andrea Vedaldi (CoRR, 2025)