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2020 – today
- 2025
[j71]Jiawei Sun, Ruoxin Chen, Jie Li, Yue Ding, Chentao Wu, Zhi Liu, Junchi Yan:
Understanding and mitigating dimensional collapse of Graph Contrastive Learning: A non-maximum removal approach. Neural Networks 181: 106652 (2025)- [j70]Rui Zhang, Xingbo Du, Junchi Yan, Shihua Zhang:
The Decoupling Concept Bottleneck Model. IEEE Trans. Pattern Anal. Mach. Intell. 47(2): 1250-1265 (2025) - 2024
- [j69]Guolong Wang
, Xun Wu, Junchi Yan:
Progressive reinforcement learning for video summarization. Inf. Sci. 655: 119888 (2024) - [j68]Runzhong Wang, Ziao Guo, Wenzheng Pan, Jiale Ma, Yikai Zhang, Nan Yang, Qi Liu, Longxuan Wei, Hanxue Zhang, Chang Liu, Zetian Jiang, Xiaokang Yang, Junchi Yan:
Pygmtools: A Python Graph Matching Toolkit. J. Mach. Learn. Res. 25: 33:1-33:7 (2024) - [j67]Chao Chen, Haoyu Geng, Nianzu Yang, Xiaokang Yang, Junchi Yan:
EasyDGL: Encode, Train and Interpret for Continuous-Time Dynamic Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10845-10862 (2024) - [j66]Xin Liu, Rong Qin, Junchi Yan, Jufeng Yang:
NCMNet: Neighbor Consistency Mining Network for Two-View Correspondence Pruning. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11254-11272 (2024) - [j65]Ying Zeng, Yushi Chen, Xue Yang, Qingyun Li, Junchi Yan:
ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j64]Tianqi Zhang, Qitian Wu, Junchi Yan, Yunan Zhao, Bing Han:
ScaleGCN: Efficient and Effective Graph Convolution via Channel-Wise Scale Transformation. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4478-4490 (2024) - [c300]Danning Lao, Qi Liu, Jiazi Bu, Junchi Yan, Wei Shen:
ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization. AAAI 2024: 2866-2873 - [c299]Liangliang Shi, Zhaoqi Shen, Junchi Yan:
Double-Bounded Optimal Transport for Advanced Clustering and Classification. AAAI 2024: 14982-14990 - [c298]Han Zhao, Xu Yang, Cheng Deng, Junchi Yan:
Dynamic Reactive Spiking Graph Neural Network. AAAI 2024: 16970-16978 - [c297]Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan:
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. AAAI 2024: 17087-17095 - [c296]Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li:
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models. ACL (1) 2024: 6159-6172 - [c295]Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Wai Lam, Lizhuang Ma:
CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion. ACL (Findings) 2024: 11437-11452 - [c294]Hiroyuki Fujioka, Katerina Potika, Junchi Yan:
Message from the Technical Program Chairs: IEEE BDS 2024. BigDataService 2024: 1 - [c293]Beichen Zhang, Xiaoxing Wang, Xiaohan Qin, Junchi Yan:
Boosting Order-Preserving and Transferability for Neural Architecture Search: A Joint Architecture Refined Search and Fine-Tuning Approach. CVPR 2024: 5662-5671 - [c292]Junwei Luo, Xue Yang, Yi Yu, Qingyun Li, Junchi Yan, Yansheng Li:
PointOBB: Learning Oriented Object Detection via Single Point Supervision. CVPR 2024: 16730-16740 - [c291]Yi Yu, Xue Yang, Qingyun Li, Feipeng Da, Jifeng Dai, Yu Qiao, Junchi Yan:
Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-End Oriented Object Detection with Single Point Supervision. CVPR 2024: 16783-16793 - [c290]Zi-Kai Xiao, Guo-Ye Yang, Xue Yang, Tai-Jiang Mu, Junchi Yan, Shi-Min Hu:
Theoretically Achieving Continuous Representation of Oriented Bounding Boxes. CVPR 2024: 16912-16922 - [c289]Zelin Zhao, Fenglei Fan, Wenlong Liao, Junchi Yan:
Grounding and Enhancing Grid-based Models for Neural Fields. CVPR 2024: 19425-19435 - [c288]Hao Xiong, Yehui Tang, Xinyu Ye, Junchi Yan:
Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning. CVPR 2024: 26162-26170 - [c287]Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan:
Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-V2). ECCV (45) 2024: 142-158 - [c286]Yuqing Zhang, Hangqi Li, Shengyu Zhang, Runzhong Wang, Baoyi He, Huaiyong Dou, Junchi Yan, Yongquan Zhang, Fei Wu:
LLMCO4MR: LLMs-Aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang. ECCV (75) 2024: 253-269 - [c285]Yuqing Zhang, Baoyi He, Yihan Chen, Hangqi Li, Han Yue, Shengyu Zhang, Huaiyong Dou, Junchi Yan, Zemin Liu, Yongquan Zhang, Fei Wu:
PhiloGPT: A Philology-Oriented Large Language Model for Ancient Chinese Manuscripts with Dunhuang as Case Study. EMNLP 2024: 2784-2801 - [c284]Renqiu Xia, Dongyuan Zhang, Yixin Dong, Juanping Zhao, Wenlong Liao, Tao He, Junchi Yan:
Efficient Architecture Search for Real-Time Instance Segmentation. ICASSP 2024: 3310-3314 - [c283]Bin Liu, Yuchen Luo, Shaofeng Zhang, Zehuan Yuan, Changdong Xu, Boan Chen, Junchi Yan:
View Crafting For Instance-Level Representation from Scene Images. ICASSP 2024: 5355-5359 - [c282]Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan:
GMTR: Graph Matching Transformers. ICASSP 2024: 6535-6539 - [c281]Xue Yang, Yue Zhou, Wenlong Liao, Tao He, Junchi Yan:
Alpharotate: A Rotation Detection Benchmark Using Tensorflow. ICASSP 2024: 9481-9485 - [c280]Omar Khadeer Hussain, Junchi Yan, Shang-Pin Ma, Salem Alkhalaf, Osama Alfarraj:
Message from the Program Chairs ICEBE 2024. ICEBE 2024: 1-2 - [c279]Ge Yan, Hongxu Chen, Kaisen Pan, Junchi Yan:
Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms. ICLR 2024 - [c278]Hao Xiong, Yehui Tang, Yunlin He, Wei Tan, Junchi Yan:
Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space. ICLR 2024 - [c277]Yiting Chen, Zhanpeng Zhou, Junchi Yan:
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory. ICLR 2024 - [c276]Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, Yu Qiao:
ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation. ICLR 2024 - [c275]Xinyan Chen, Yang Li, Runzhong Wang, Junchi Yan:
MixSATGEN: Learning Graph Mixing for SAT Instance Generation. ICLR 2024 - [c274]Tianyu Li, Peijin Jia, Bangjun Wang, Li Chen, Kun Jiang, Junchi Yan, Hongyang Li:
LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving. ICLR 2024 - [c273]Chang Liu, Zhichen Dong, Haobo Ma, Weilin Luo, Xijun Li, Bowen Pang, Jia Zeng, Junchi Yan:
L2P-MIP: Learning to Presolve for Mixed Integer Programming. ICLR 2024 - [c272]Jiaxin Lu, Zetian Jiang, Tianzhe Wang, Junchi Yan:
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering. ICLR 2024 - [c271]Jiawei Sun, Kailai Li, Ruoxin Chen, Jie Li, Chentao Wu, Yue Ding, Junchi Yan:
InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes. ICLR 2024 - [c270]Yehui Tang, Hao Xiong, Nianzu Yang, Tailong Xiao, Junchi Yan:
Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark. ICLR 2024 - [c269]Huaijin Wu, Wei Liu, Yatao Bian, Jiaxiang Wu, Nianzu Yang, Junchi Yan:
EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model. ICLR 2024 - [c268]Shaofeng Zhang, Jinfa Huang, Qiang Zhou, Zhibin Wang, Fan Wang, Jiebo Luo, Junchi Yan:
Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach. ICLR 2024 - [c267]Changwen Zhang, Wenli Ouyang, Hao Yuan, Liming Gong, Yong Sun, Ziao Guo, Zhichen Dong, Junchi Yan:
Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach. ICLR 2024 - [c266]Tianyi Bao, Qitian Wu, Zetian Jiang, Yiting Chen, Jiawei Sun, Junchi Yan:
Graph Out-of-Distribution Detection Goes Neighborhood Shaping. ICML 2024 - [c265]Ziao Guo, Yang Li, Chang Liu, Wenli Ouyang, Junchi Yan:
ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation. ICML 2024 - [c264]Liangliang Shi, Jack Fan, Junchi Yan:
OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport. ICML 2024 - [c263]Yehui Tang, Nianzu Yang, Mabiao Long, Junchi Yan:
SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification. ICML 2024 - [c262]Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan:
Learning Divergence Fields for Shift-Robust Graph Representations. ICML 2024 - [c261]Chenxiao Yang, Qitian Wu, David Wipf, Ruoyu Sun, Junchi Yan:
How Graph Neural Networks Learn: Lessons from Training Dynamics. ICML 2024 - [c260]Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang, Junchi Yan:
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation. ICML 2024 - [c259]Yahong Zhang, Chenchen Fan, Donghui Chen, Congrui Li, Wenli Ouyang, Mingda Zhu, Junchi Yan:
MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness. ICML 2024 - [c258]Yunhao Zhang, Minghao Liu, Shengyang Zhou, Junchi Yan:
UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis. ICML 2024 - [c257]Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan:
On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm. ICML 2024 - [c256]Huaqing Shao, Lanjun Wang, Yongwei Wang, Qibing Ren, Junchi Yan:
Certified Robustness on Visual Graph Matching via Searching Optimal Smoothing Range. KDD 2024: 2596-2607 - [c255]Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan:
GeoMix: Towards Geometry-Aware Data Augmentation. KDD 2024: 4500-4511 - [c254]Wenlong Liao, Sunyuan Qiang, Xianfei Li, Xiaolei Chen, Haoyu Wang, Yanyan Liang, Junchi Yan, Tao He, Pai Peng:
CalibRBEV: Multi-Camera Calibration via Reversed Bird's-eye-view Representations for Autonomous Driving. ACM Multimedia 2024: 9145-9154 - [c253]Ge Yan, Mengfei Ran, Ruocheng Wang, Kaisen Pan, Junchi Yan:
Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz. NeurIPS 2024 - [c252]Jian Hu, Jiayi Lin, Junchi Yan, Shaogang Gong:
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation. NeurIPS 2024 - [c251]Yiting Chen, Jiazi Bu, Junchi Yan:
Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance. NeurIPS 2024 - [c250]Yiting Chen, Junchi Yan:
What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information. NeurIPS 2024 - [c249]Qingwen Bu, Jia Zeng, Li Chen, Yanchao Yang, Guyue Zhou, Junchi Yan, Ping Luo, Heming Cui, Yi Ma, Hongyang Li:
Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation. NeurIPS 2024 - [c248]Haoyu Geng, Hang Ruan, Runzhong Wang, Yang Li, Yang Wang, Lei Chen, Junchi Yan:
Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime. NeurIPS 2024 - [c247]Xiaosong Jia, Zhenjie Yang, Qifeng Li, Zhiyuan Zhang, Junchi Yan:
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving. NeurIPS 2024 - [c246]Yang Li, Jinpei Guo, Runzhong Wang, Hongyuan Zha, Junchi Yan:
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization. NeurIPS 2024 - [c245]Chang Liu, Xiwei Wu, Yuan Feng, Qinxiang Cao, Junchi Yan:
Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation. NeurIPS 2024 - [c244]Han Lu, Yichen Xie, Xiaokang Yang, Junchi Yan:
Boundary Matters: A Bi-Level Active Finetuning Method. NeurIPS 2024 - [c243]Xiaoxing Wang, Xiaohan Qin, Xiaokang Yang, Junchi Yan:
ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization. NeurIPS 2024 - [c242]Huaijin Wu, Xinyu Ye, Junchi Yan:
QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation. NeurIPS 2024 - [c241]Hancheng Ye, Jiakang Yuan, Renqiu Xia, Xiangchao Yan, Tao Chen, Junchi Yan, Botian Shi, Bo Zhang:
Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy. NeurIPS 2024 - [c240]Xiangdong Zhang, Shaofeng Zhang, Junchi Yan:
PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders. NeurIPS 2024 - [c239]Xinhao Zheng, Yang Li, Cunxin Fan, Huaijin Wu, Xinhao Song, Junchi Yan:
Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation. NeurIPS 2024 - [c238]Ruizhe Zhong, Xingbo Du, Shixiong Kai, Zhentao Tang, Siyuan Xu, Jianye Hao, Mingxuan Yuan, Junchi Yan:
FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation. NeurIPS 2024 - [c237]Wenwen Tong, Jiangwei Xie, Tianyu Li, Yang Li, Hanming Deng, Bo Dai, Lewei Lu, Hao Zhao, Junchi Yan, Hongyang Li:
3D Data Augmentation for Driving Scenes on Camera. PRCV (6) 2024: 46-63 - [c236]Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan:
Graph Out-of-Distribution Generalization via Causal Intervention. WWW 2024: 850-860 - [c235]Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan:
Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. WWW 2024: 3173-3184 - [i205]Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao:
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR abs/2401.05960 (2024) - [i204]Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang, Junchi Yan:
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation. CoRR abs/2401.09500 (2024) - [i203]Liangliang Shi, Zhaoqi Shen, Junchi Yan:
Double-Bounded Optimal Transport for Advanced Clustering and Classification. CoRR abs/2401.11418 (2024) - [i202]Ruizhe Zhong, Xingbo Du, Shixiong Kai, Zhentao Tang, Siyuan Xu, Hui-Ling Zhen, Jianye Hao, Qiang Xu, Mingxuan Yuan, Junchi Yan:
LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation. CoRR abs/2401.12224 (2024) - [i201]Zeyu Xi, Ge Shi, Lifang Wu, Xuefen Li, Junchi Yan, Liang Wang, Zilin Liu:
Knowledge Graph Supported Benchmark and Video Captioning for Basketball. CoRR abs/2401.13888 (2024) - [i200]Shaofeng Zhang, Jinfa Huang, Qiang Zhou, Zhibin Wang, Fan Wang, Jiebo Luo, Junchi Yan:
Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach. CoRR abs/2401.15652 (2024) - [i199]Danning Lao, Qi Liu, Jiazi Bu, Junchi Yan, Wei Shen:
ViTree: Single-path Neural Tree for Step-wise Interpretable Fine-grained Visual Categorization. CoRR abs/2401.17050 (2024) - [i198]Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao:
Poisson Process for Bayesian Optimization. CoRR abs/2402.02687 (2024) - [i197]Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan:
Cross-Task Linearity Emerges in the Pretraining-Finetuning Paradigm. CoRR abs/2402.03660 (2024) - [i196]Fangyu Ding, Haiyang Wang, Zhixuan Chu, Tianming Li, Zhaoping Hu, Junchi Yan:
GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention. CoRR abs/2402.07191 (2024) - [i195]Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan:
Graph Out-of-Distribution Generalization via Causal Intervention. CoRR abs/2402.11494 (2024) - [i194]Renqiu Xia, Bo Zhang, Hancheng Ye, Xiangchao Yan, Qi Liu, Hongbin Zhou, Zijun Chen, Min Dou, Botian Shi, Junchi Yan, Yu Qiao:
ChartX & ChartVLM: A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning. CoRR abs/2402.12185 (2024) - [i193]Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li:
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models. CoRR abs/2402.14800 (2024) - [i192]Qifeng Li, Xiaosong Jia, Shaobo Wang, Junchi Yan:
Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2). CoRR abs/2402.16720 (2024) - [i191]Shen Cai, Zhanhao Wu, Lingxi Guo, Jiachun Wang, Siyu Zhang, Junchi Yan, Shuhan Shen:
Fast and Interpretable 2D Homography Decomposition: Similarity-Kernel-Similarity and Affine-Core-Affine Transformations. CoRR abs/2402.18008 (2024) - [i190]Zi-Kai Xiao, Guo-Ye Yang, Xue Yang, Tai-Jiang Mu, Junchi Yan, Shi-Min Hu:
Theoretically Achieving Continuous Representation of Oriented Bounding Boxes. CoRR abs/2402.18975 (2024) - [i189]Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan:
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. CoRR abs/2403.00012 (2024) - [i188]Han Lu, Siyu Sun, Yichen Xie, Liqing Zhang, Xiaokang Yang, Junchi Yan:
Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple Logits Retargeting Approach. CoRR abs/2403.00250 (2024) - [i187]Han Lu, Xiaosong Jia, Yichen Xie, Wenlong Liao, Xiaokang Yang, Junchi Yan:
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving. CoRR abs/2403.02877 (2024) - [i186]Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Yu Qiao, Wai Lam, Lizhuang Ma:
Exploring Safety Generalization Challenges of Large Language Models via Code. CoRR abs/2403.07865 (2024) - [i185]Han Lu, Yichen Xie, Xiaokang Yang, Junchi Yan:
Boundary Matters: A Bi-Level Active Finetuning Framework. CoRR abs/2403.10069 (2024) - [i184]Beichen Zhang, Xiaoxing Wang, Xiaohan Qin, Junchi Yan:
Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach. CoRR abs/2403.11380 (2024) - [i183]Xiaosong Jia, Shaoshuai Shi, Zijun Chen, Li Jiang, Wenlong Liao, Tao He, Junchi Yan:
AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving. CoRR abs/2403.13331 (2024) - [i182]Zelin Zhao, Fenglei Fan, Wenlong Liao, Junchi Yan:
Grounding and Enhancing Grid-based Models for Neural Fields. CoRR abs/2403.20002 (2024) - [i181]Wenjie Wu, Yiquan Wang, Ge Yan, Yuming Zhao, Junchi Yan:
On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Program Scheduling. CoRR abs/2404.07882 (2024) - [i180]Xudong Lu, Aojun Zhou, Ziyi Lin, Qi Liu, Yuhui Xu, Renrui Zhang, Yafei Wen, Shuai Ren, Peng Gao, Junchi Yan, Hongsheng Li:
TerDiT: Ternary Diffusion Models with Transformers. CoRR abs/2405.14854 (2024) - [i179]Xiaosong Jia, Zhenjie Yang, Qifeng Li, Zhiyuan Zhang, Junchi Yan:
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving. CoRR abs/2406.03877 (2024) - [i178]Qitian Wu, Fan Nie, Chenxiao Yang, Junchi Yan:
Learning Divergence Fields for Shift-Robust Graph Representations. CoRR abs/2406.04963 (2024) - [i177]Yue Zhou, Litong Feng, Yiping Ke, Xue Jiang, Junchi Yan, Xue Yang, Wayne Zhang:
Towards Vision-Language Geo-Foundation Model: A Survey. CoRR abs/2406.09385 (2024) - [i176]Yansheng Li, Linlin Wang, Tingzhu Wang, Xue Yang, Junwei Luo, Qi Wang, Youming Deng, Wenbin Wang, Xian Sun, Haifeng Li, Bo Dang, Yongjun Zhang, Yi Yu, Junchi Yan:
Scene Graph Generation in Large-Size VHR Satellite Imagery: A Large-Scale Dataset and A Context-Aware Approach. CoRR abs/2406.09410 (2024) - [i175]Renqiu Xia, Song Mao, Xiangchao Yan, Hongbin Zhou, Bo Zhang, Haoyang Peng, Jiahao Pi, Daocheng Fu, Wenjie Wu, Hancheng Ye, Shiyang Feng, Bin Wang, Chao Xu, Conghui He, Pinlong Cai, Min Dou, Botian Shi, Sheng Zhou, Yongwei Wang, Bin Wang, Junchi Yan, Fei Wu, Yu Qiao:
DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models. CoRR abs/2406.11633 (2024) - [i174]Yang Zhang, Chenjia Bai, Bin Zhao, Junchi Yan, Xiu Li, Xuelong Li:
Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models. CoRR abs/2406.15836 (2024) - [i173]Ge Yan, Wenjie Wu, Chen Yuheng, Kaisen Pan, Xudong Lu, Zhou Zixiang, Wang Yuhan, Ruocheng Wang, Junchi Yan:
Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects. CoRR abs/2407.00736 (2024) - [i172]Wentao Zhao, Qitian Wu, Chenxiao Yang, Junchi Yan:
GeoMix: Towards Geometry-Aware Data Augmentation. CoRR abs/2407.10681 (2024) - [i171]