Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond. - Xi Ouyang; Yu Cheng 001; Yifan Jiang 001; Chun-Liang Li; Pan Zhou 001 (CoRR, 2018)

AutoGAN: Neural Architecture Search for Generative Adversarial Networks. - Xinyu Gong; Shiyu Chang; Yifan Jiang 001; Zhangyang Wang (ICCV, 2019)

AutoPose: Searching Multi-Scale Branch Aggregation for Pose Estimation. - Xinyu Gong; Wuyang Chen 001; Yifan Jiang 001; Ye Yuan 012; Xianming Liu; Qian Zhang; Yuan Li; Zhangyang Wang (CoRR, 2020)

InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. - Yonggan Fu; Zhongzhi Yu; Yongan Zhang; Yifan Jiang 001; Chaojian Li; Yongyuan Liang; Mingchao Jiang; Zhangyang Wang; Yingyan Lin (DAC, 2021)

SSH: A Self-Supervised Framework for Image Harmonization. - Yifan Jiang 001; He Zhang 004; Jianming Zhang 001; Yilin Wang 002; Zhe Lin 001; Kalyan Sunkavalli; Simon Chen; Sohrab Amirghodsi; Sarah Kong; Zhangyang Wang (ICCV, 2021)

A Design Space Study for LISTA and Beyond. - Tianjian Meng; Xiaohan Chen; Yifan Jiang 001; Zhangyang Wang (ICLR, 2021)

TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up. - Yifan Jiang 001; Shiyu Chang; Zhangyang Wang (NeurIPS, 2021)

IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers. - Bowen Pan; Rameswar Panda; Yifan Jiang 001; Zhangyang Wang; Rogério Feris; Aude Oliva (NeurIPS, 2021)

TransGAN: Two Transformers Can Make One Strong GAN. - Yifan Jiang 001; Shiyu Chang; Zhangyang Wang (CoRR, 2021)

IA-RED2: Interpretability-Aware Redundancy Reduction for Vision Transformers. - Bowen Pan; Yifan Jiang 001; Rameswar Panda; Zhangyang Wang; Rogério Feris; Aude Oliva (CoRR, 2021)

EnlightenGAN: Deep Light Enhancement Without Paired Supervision. - Yifan Jiang 001; Xinyu Gong; Ding Liu 001; Yu Cheng 001; Chen Fang; Xiaohui Shen; Jianchao Yang; Pan Zhou 001; Zhangyang Wang (IEEE Trans. Image Process., 2021)

Unified Implicit Neural Stylization. - Zhiwen Fan; Yifan Jiang 001; Peihao Wang; Xinyu Gong; Dejia Xu; Zhangyang Wang (ECCV (15), 2022)

Fast and High Quality Image Denoising via Malleable Convolution. - Yifan Jiang 001; Bartlomiej Wronski; Ben Mildenhall; Jonathan T. Barron; Zhangyang Wang; Tianfan Xue (ECCV (18), 2022)

SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image. - Dejia Xu; Yifan Jiang 001; Peihao Wang; Zhiwen Fan; Humphrey Shi; Zhangyang Wang (ECCV (22), 2022)

ReCoRo: Region-Controllable Robust Light Enhancement with User-Specified Imprecise Masks. - Dejia Xu; Hayk Poghosyan; Shant Navasardyan; Yifan Jiang 001; Humphrey Shi; Zhangyang Wang (ACM Multimedia, 2022)

Signal Processing for Implicit Neural Representations. - Dejia Xu; Peihao Wang; Yifan Jiang 001; Zhiwen Fan; Zhangyang Wang (NeurIPS, 2022)

Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search. - Yifan Jiang 001; Xinyu Gong; Junru Wu; Humphrey Shi; Zhicheng Yan 001; Zhangyang Wang (WACV, 2022)

Fast and High-Quality Image Denoising via Malleable Convolutions. - Yifan Jiang 001; Bart Wronski; Ben Mildenhall; Jonathan T. Barron; Zhangyang Wang; Tianfan Xue (CoRR, 2022)

VAQF: Fully Automatic Software-hardware Co-design Framework for Low-bit Vision Transformer. - Mengshu Sun; Haoyu Ma; Guoliang Kang; Yifan Jiang 001; Tianlong Chen 001; Xiaolong Ma; Zhangyang Wang; Yanzhi Wang (CoRR, 2022)

Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN. - Qiucheng Wu; Yifan Jiang 001; Junru Wu; Kai Wang 058; Gong Zhang 011; Humphrey Shi; Zhangyang Wang; Shiyu Chang (CoRR, 2022)

CERL: A Unified Optimization Framework for Light Enhancement With Realistic Noise. - Zeyuan Chen; Yifan Jiang 001; Dong Liu 002; Zhangyang Wang (IEEE Trans. Image Process., 2022)

AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training. - Yifan Jiang 001; Peter Hedman; Ben Mildenhall; Dejia Xu; Jonathan T. Barron; Zhangyang Wang; Tianfan Xue (CVPR, 2023)

NeuralLift-360: Lifting an in-the-Wild 2D Photo to A 3D Object with 360° Views. - Dejia Xu; Yifan Jiang 001; Peihao Wang; Zhiwen Fan; Yi Wang 076; Zhangyang Wang (CVPR, 2023)

Transferring Procedural Knowledge Across Commonsense Tasks. - Yifan Jiang 001; Filip Ilievski; Kaixin Ma (ECAI, 2023)

BRAINTEASER: Lateral Thinking Puzzles for Large Language Models. - Yifan Jiang 001; Filip Ilievski; Kaixin Ma; Zhivar Sourati (EMNLP, 2023)

NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes. - Zhiwen Fan; Peihao Wang; Yifan Jiang 001; Xinyu Gong; Dejia Xu; Zhangyang Wang (ICLR, 2023)

In-Context Learning Unlocked for Diffusion Models. - Zhendong Wang; Yifan Jiang 001; Yadong Lu; Yelong Shen; Pengcheng He; Weizhu Chen; Zhangyang (Atlas) Wang; Mingyuan Zhou (NeurIPS, 2023)

Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. - Zhendong Wang; Yifan Jiang 001; Huangjie Zheng; Peihao Wang; Pengcheng He; Zhangyang Wang; Weizhu Chen; Mingyuan Zhou (NeurIPS, 2023)

PAIR-Diffusion: Object-Level Image Editing with Structure-and-Appearance Paired Diffusion Models. - Vidit Goel; Elia Peruzzo; Yifan Jiang 001; Dejia Xu; Nicu Sebe; Trevor Darrell; Zhangyang Wang; Humphrey Shi (CoRR, 2023)

POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference. - Zhiwen Fan; Panwang Pan; Peihao Wang; Yifan Jiang 001; Dejia Xu; Hanwen Jiang; Zhangyang Wang (CoRR, 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)

Efficient-NeRF2NeRF: Streamlining Text-Driven 3D Editing with Multiview Correspondence-Enhanced Diffusion Models. - Liangchen Song; Liangliang Cao; Jiatao Gu; Yifan Jiang 001; Junsong Yuan 001; Hao Tang 001 (CoRR, 2023)

Broad Spectrum Image Deblurring via an Adaptive Super-Network. - Qiucheng Wu; Yifan Jiang 001; Junru Wu; Victor Kulikov; Vidit Goel; Nikita Orlov; Humphrey Shi; Zhangyang Wang; Shiyu Chang (IEEE Trans. Image Process., 2023)

Chasing Better Deep Image Priors between Over- and Under-parameterization. - Qiming Wu; Xiaohan Chen; Yifan Jiang 001; Zhangyang Wang (Trans. Mach. Learn. Res., 2023)

Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN. - Qiucheng Wu; Yifan Jiang 001; Junru Wu; Kai Wang 058; Eric J. Zhang; Humphrey Shi; Zhangyang Wang; Shiyu Chang (CPAL, 2024)

NeRF as Pretraining at Scale: Generalizable 3D-Aware Semantic Representation Learning from View Prediction. - Wenyan Cong; Hanxue Liang; Zhiwen Fan; Peihao Wang; Yifan Jiang 001; Dejia Xu; A. Cengiz Öztireli; Zhangyang Wang (CVPR Workshops, 2024)

POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference. - Zhiwen Fan; Panwang Pan; Peihao Wang; Yifan Jiang 001; Dejia Xu; Zhangyang Wang (CVPR Workshops, 2024)

PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor. - Vidit Goel; Elia Peruzzo; Yifan Jiang 001; Dejia Xu; Xingqian Xu; Nicu Sebe; Trevor Darrell; Zhangyang Wang; Humphrey Shi (CVPR, 2024)

FSGS: Real-Time Few-Shot View Synthesis Using Gaussian Splatting. - Zehao Zhu; Zhiwen Fan; Yifan Jiang 001; Zhangyang Wang (ECCV (39), 2024)

Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day. - Yifan Jiang 001; Hao Tang 001; Jen-Hao Rick Chang; Liangchen Song; Zhangyang Wang; Liangliang Cao (ICLR, 2024)

MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning. - Yifan Jiang 001; Jiarui Zhang 002; Kexuan Sun 002; Zhivar Sourati; Kian Ahrabian; Kaixin Ma; Filip Ilievski; Jay Pujara (NeurIPS, 2024)

SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense. - Yifan Jiang 001; Filip Ilievski; Kaixin Ma (SemEval@NAACL, 2024)

FIRE: Food Image to REcipe generation. - Prateek Chhikara; Dhiraj Chaurasia; Yifan Jiang 001; Omkar Masur; Filip Ilievski (WACV, 2024)

VASE: Object-Centric Appearance and Shape Manipulation of Real Videos. - Elia Peruzzo; Vidit Goel; Dejia Xu; Xingqian Xu; Yifan Jiang 001; Zhangyang Wang; Humphrey Shi; Nicu Sebe (CoRR, 2024)

The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models. - Kian Ahrabian; Zhivar Sourati; Kexuan Sun 002; Jiarui Zhang 002; Yifan Jiang 001; Fred Morstatter; Jay Pujara (CoRR, 2024)

RED QUEEN: Safeguarding Large Language Models against Concealed Multi-Turn Jailbreaking. - Yifan Jiang 001; Kriti Aggarwal; Tanmay Laud; Kashif Munir; Jay Pujara; Subhabrata Mukherjee (CoRR, 2024)

Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention. - Dejia Xu; Yifan Jiang 001; Chen Huang; Liangchen Song; Thorsten Gernoth; Liangliang Cao; Zhangyang Wang; Hao Tang 001 (CoRR, 2024)

ARN: Analogical Reasoning on Narratives. - Zhivar Sourati; Filip Ilievski; Pia Sommerauer; Yifan Jiang 001 (Trans. Assoc. Comput. Linguistics, 2024)

COLUMBUS: Evaluating COgnitive Lateral Understanding Through Multiple-Choice reBUSes. - Koen Kraaijveld; Yifan Jiang 001; Kaixin Ma; Filip Ilievski (AAAI, 2025)

Red Queen: Exposing Latent Multi-Turn Risks in Large Language Models. - Yifan Jiang 001; Kriti Aggarwal; Tanmay Laud; Kashif Munir; Jay Pujara; Subhabrata Mukherjee (ACL (Findings), 2025)

ORBIT: An Object Property Reasoning Benchmark for Visual Inference Tasks. - Abhishek Kolari; Mohammadhossein Khojasteh; Yifan Jiang 001; Floris den Hengst; Filip Ilievski (CoRR, 2025)