Jun Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
1,166
Venues
72
Active years
2023–2026
Best venue rank
A*
Where they publish
- A*AAAI37 papers
- A*ACL25 papers
- MulticonferenceICASSP19 papers
- A*ICLR15 papers
- A*ICML14 papers
- A*EMNLP13 papers
- A*IJCAI11 papers
- A*WWW10 papers
- A*CVPR10 papers
- BGLOBECOM9 papers
- BSMC8 papers
- A*SIGIR7 papers
- A*ICDE6 papers
- AECAI6 papers
- A*ICCV6 papers
- A*ICRA6 papers
- BISIT5 papers
- A*KDD5 papers
- BCOLING4 papers
- BDASFAA4 papers
- AICDAR4 papers
- CIGARSS4 papers
- ACIKM3 papers
- A*DAC3 papers
- BICIP3 papers
- BIJCNN3 papers
- AInterspeech3 papers
- AICDCS2 papers
- AIROS2 papers
- A*ISCA2 papers
- A*MICRO2 papers
- ANAACL2 papers
- BVTC2 papers
- BWCNC2 papers
- AWSDM2 papers
- A*ECCV2 papers
- BITW2 papers
- CGPC2 papers
- BICONIP2 papers
- AEACL1 paper
- AEuroSys1 paper
- CCGI1 paper
- CCloudCom1 paper
- NationalHCI1 paper
- BICCCN1 paper
- BICNP1 paper
- CIECON1 paper
- CISNN1 paper
- CISPEC1 paper
- BIWCMC1 paper
- BIWQoS1 paper
- A*NDSS1 paper
- BPPoPP1 paper
- BTrustCom1 paper
- A*SP1 paper
- A*SOSP1 paper
- A*CHI1 paper
- UnrankedCoRL1 paper
- CFUSION1 paper
- AustralasianHIC1 paper
- AICCAD1 paper
- A*ICSE1 paper
- AMICCAI1 paper
- Journal PublishedPG1 paper
- ARecSys1 paper
- AWACV1 paper
- A*UIST1 paper
- CACML1 paper
- BCogSci1 paper
- A*ICDM1 paper
- NationalICIN1 paper
- BICPADS1 paper
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Cancer Survival Prediction by Cyclic Generation and Multi-grained Alignment. | Yongqi Bu, Qinggang Niu, Zhen Li, Yanyu Xu, Jun Wang, Guoxian Yu |
| 2026 | AAAI | LSAP-PV: High-Fidelity Palm Vein Image Synthesis via Layered Spectral Absorption Projection-Guided Diffusion Model. | Sheng Shang, Chenglong Zhao, Ruixin Zhang, Jianlong Jin, Jingyun Zhang, Jun Wang, Yang Zhao, Shouhong Ding, Wei Jia |
| 2026 | AAAI | Counterfactual Fairness with Imperfect Causal Graphs. | Cong Su, Qiaoyu Tan, Carlotta Domeniconi, Lizhen Cui, Jun Wang, Guoxian Yu |
| 2026 | AAAI | Compression Artifacts Removal for VVC with Frequency Domain Mixture of Experts Network. | Qijun Wang, Kang Wang, Jun Wang |
| 2026 | AAAI | A General Anchor-Based Framework for Scalable Fair Clustering. | Shengfei Wei, Suyuan Liu, Jun Wang, Ke Liang, Miaomiao Li, Lei Luo |
| 2026 | AAAI | Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach. | Biao Wu, Meng Fang, Ling Chen, Ke Xu, Tao Cheng, Jun Wang |
| 2026 | AAAI | DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering. | Baili Xiao, Ke Liang, Jiaqi Jin, Jun Wang, Yinbo Xu, Siwei Wang, En Zhu |
| 2026 | AAAI | Bridging the Copyright Gap: Do Large Vision-Language Models Recognize and Respect Copyrighted Content? | Naen Xu, Jinghuai Zhang, Changjiang Li, Hengyu An, Chunyi Zhou, Jun Wang, Boyu Xu, Yuyuan Li, Tianyu Du, Shouling Ji |
| 2026 | AAAI | Proactive Constrained Policy Optimization with Preemptive Penalty. | Ning Yang, Pengyu Wang, Guoqing Liu, Haifeng Zhang, Pin Lyu, Jun Wang |
| 2026 | AAAI | TVChain: Leveraging Textual-Visual Prompt Chains for Jailbreaking Large Vision-Language Models. | Hao Yu, Ke Liang, Junxian Duan, Jun Wang, Siwei Wang, Chuan Ma, Xinwang Liu |
| 2026 | AAAI | MLLM Enriched Explainable Multiple Clustering. | Shan Zhang, Liangrui Ren, Qiaoyu Tan, Carlotta Domeniconi, Wei Du, Jun Wang, Guoxian Yu |
| 2026 | AAAI | GloTok: Global Perspective Tokenizer for Image Reconstruction and Generation. | Xuan Zhao, Zhongyu Zhang, Yuge Huang, Yuxi Mi, Guodong Mu, Shouhong Ding, Jun Wang, Rizen Guo, Shuigeng Zhou |
| 2026 | ACL | MSIA: Adaptive Medical Multimodal Multi-turn Semantic Jailbreak. | Zhiheng Han, Yao Zhang, Jun Wang, Zhenglu Yang |
| 2026 | ACL | POP: Prefill-Only Pruning for Efficient Large Model Inference. | Junhui He, Zhihui Fu, Jun Wang, Qingan Li |
| 2026 | ACL | M-TRACE: Detecting and Mitigating Time-Anchor Drift via Step-wise Conflict Checking in Temporal Reasoning. | Danyu Huang, Jiayuan Jiang, Yao Zhang, Jun Wang, Huijia Li, Zhenglu Yang |
| 2026 | ACL | Regret-Now: A Physics-Inspired Regret Framework for Temporal Knowledge Graph Question Answering with LLMs. | Danyu Huang, Yao Zhang, Jun Wang, Zhenglu Yang |
| 2026 | ACL | DiffuSpec: Unlocking Diffusion Language Models for Speculative Decoding. | Guanghao Li, Zhihui Fu, Min Fang, Qibin Zhao, Ming Tang, Chun Yuan, Jun Wang |
| 2026 | ACL | Dual Activation-Weight Sparsity: A Training-Free Framework for Efficient Large Language Model Compression. | Luoyang Sun, Guangyan Li, Cheng Deng, Haifeng Zhang, Jian Zhao, Yongqiang Tang, Wensheng Zhang, Jun Wang |
| 2026 | ACL | TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale. | Jun Wang, Ziyin Zhang, Rui Wang, Hang Yu, Peng Di |
| 2026 | ACL | ColorBrowserAgent: Complex Long-Horizon Browser Agent with Adaptive Knowledge Evolution. | Jihong Wang, Jiamu Zhou, Weiming Zhang, Teng Wang, Weiwen Liu, Zhuosheng Zhang, Xingyu Lou, Weinan Zhang, Huarong Deng, Jun Wang |
| 2026 | ACL | Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning. | Zheng Wu, Xingyu Lou, Xinbei Ma, Yansi Li, Weiwen Liu, Weinan Zhang, Jun Wang, Zhuosheng Zhang |
| 2026 | ACL | "I See What You Did There": Can Large Vision-Language Models Understand Multimodal Puns? | Naen Xu, Jiayi Sheng, Changjiang Li, Chunyi Zhou, Yuyuan Li, Tianyu Du, Jun Wang, Zhihui Fu, Jinbao Li, Shouling Ji |
| 2026 | ACL | Compiling Activation Steering into Weights via Null-Space Constraints for Stealthy Backdoors. | Rui Yin, Tianxu Han, Naen Xu, Changjiang Li, Ping He, Chunyi Zhou, Jun Wang, Zhihui Fu, Tianyu Du, Jinbao Li, Shouling Ji |
| 2026 | EACL | Process Evaluation for Agentic Systems. | Milan Gritta, Debjit Paul, Xiaoguang Li, Lifeng Shang, Jun Wang, Gerasimos Lampouras |
| 2026 | EuroSys | LCMP: Distributed Long-Haul Cost-Aware Multi-Path Routing for Inter-Datacenter RDMA Networks. | Dong-Yang Yu, Yuchao Zhang, Xiaodi Wang, Jun Wang, Wenfei Wu, Haipeng Yao, Wendong Wang, Ke Xu |
| 2026 | ICDE | TopFGL: A Topology-Aware and Distributionagnostic Federated Learning Framework Tackling Topological Heterogeneity on Graph Data. | Junyang Wang, Lan Zhang, Yihang Cheng, Mu Yuan, Tian Wang, Zhihui Fu, Jun Wang |
| 2026 | WWW | Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction. | Yu Cui, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Xiaohu Yang, Can Wang |
| 2026 | WWW | Probe-and-Fetch: Dynamic KV Cache Pruning for Accelerated Long-Context Inference in Web-Scale AI Search. | Yuchen Li, Rui Kong, Xinran Chen, Chengzhe Zhang, Jiamin Chen, Cheng Deng, Xinyu Ma, Haojie Zhang, Tianhao Peng, Hengyi Cai, Shuaiqiang Wang, Jiashu Zhao, Yongqi Zhang, Haoyi Xiong, Jimmy Xiangji Huang, Lei Chen, Jun Wang, Dawei Yin |
| 2026 | WWW | Rethinking Graph Generalization through the Lens of Sharpness-Aware Minimization. | Yang Qiu, Yixiong Zou, Jun Wang |
| 2026 | WWW | ColorBench: Benchmarking Mobile Agents with Graph-Structured Framework for Complex Long-Horizon Tasks. | Yuanyi Song, Heyuan Huang, Qiqiang Lin, Yin Zhao, Xiangmou Qu, Jun Wang, Xingyu Lou, Weiwen Liu, Zhuosheng Zhang, Jun Wang, Zhaoxiang Wang, Yong Yu, Weinan Zhang |
| 2026 | WWW | Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders. | Bohao Wang, Jiawei Chen, Feng Liu, Changwang Zhang, Jun Wang, Canghong Jin, Chun Chen, Can Wang |
| 2026 | WWW | STCRank: Spatio-temporal Collaborative Ranking for Interactive Recommender System at Kuaishou E-shop. | Boyang Xia, Ruilin Bao, Hanjun Jiang, Jun Wang, Wenwu Ou |
| 2026 | WWW | FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks. | Naen Xu, Jinghuai Zhang, Ping He, Chunyi Zhou, Jun Wang, Zhihui Fu, Tianyu Du, Zhaoxiang Wang, Shouling Ji |
| 2026 | WWW | Sharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation. | Fengyuan Yu, Xiaohua Feng, Yuyuan Li, Changwang Zhang, Jun Wang, Chaochao Chen |
| 2026 | SIGIR | SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation. | Yu Cui, Feng Liu, Zhaoxiang Wang, Changwang Zhang, Jun Wang, Can Wang, Jiawei Chen |
| 2026 | SIGIR | FollowTable: A Benchmark for Instruction-Following Table Retrieval. | Rihui Jin, Yuchen Lu, Ting Zhang, Jun Wang, Kuicai Dong, Zhaocheng Du, Dongping Liu, Gang Wang, Yong Liu, Guilin Qi |
| 2026 | SIGIR | Towards Unified Affective Reasoning via In-Context Reinforcement Learning. | Feng Xiong, Jun Wang, Ruifeng Xu |
| 2026 | SIGIR | Discrete Preference Learning for Personalized Multimodal Generation. | Yuting Zhang, Ying Sun, Dazhong Shen, Ziwei Xie, Feng Liu, Changwang Zhang, Xiang Liu, Jun Wang, Hui Xiong |
| 2025 | AAAI | 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance. | Kaihui Cheng, Ce Liu, Qingkun Su, Jun Wang, Liwei Zhang, Yining Tang, Yao Yao, Siyu Zhu, Yuan Qi |
| 2025 | AAAI | Coherency Improved Explainable Recommendation via Large Language Model. | Shijie Liu, Ruixin Ding, Weihai Lu, Jun Wang, Mo Yu, Xiaoming Shi, Wei Zhang |
| 2025 | AAAI | Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising. | Zikuan Li, Qiaoyun Wu, Jialin Zhang, Kaijun Zhang, Jun Wang |
| 2025 | AAAI | Emergence-Inspired Multi-Granularity Causal Learning. | Hanwen Luo, Guoxian Yu, Jun Wang, Yanyu Xu, Yongqing Zheng, Qingzhong Li |
| 2025 | AAAI | Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation. | Yihao Wang, Jiajie Su, Chaochao Chen, Meng Han, Chi Zhang, Jun Wang |
| 2025 | AAAI | STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation. | Cong Xu, Yunhang He, Jun Wang, Wei Zhang |
| 2025 | AAAI | MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics. | Kaichen Xu, Qilong Wu, Yan Lu, Yinan Zheng, Wenlin Li, Xingjie Tang, Jun Wang, Xiaobo Sun |
| 2025 | AAAI | MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading. | Wenhao Zhang, Jun Wang, Yong Luo, Lei Yu, Wei Yu, Zheng He, Jialie Shen |
| 2025 | AAAI | FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different Styles. | Tian-Hao Zhang, Jiawei Zhang, Jun Wang, Xinyuan Qian, Xu-Cheng Yin |
| 2025 | AAAI | MeRino: Entropy-Driven Design for Generative Language Models on IoT Devices. | Youpeng Zhao, Ming Lin, Huadong Tang, Qiang Wu, Jun Wang |
| 2025 | AAAI | FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation. | Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Wenkai Shen, Jiahe Xu, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng |
| 2025 | ACL | Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning. | Jiachen Zhu, Congmin Zheng, Jianghao Lin, Kounianhua Du, Ying Wen, Yong Yu, Jun Wang, Weinan Zhang |
| 2025 | ACL | Generating Questions, Answers, and Distractors for Videos: Exploring Semantic Uncertainty of Object Motions. | Wenjian Ding, Yao Zhang, Jun Wang, Adam Jatowt, Zhenglu Yang |
| 2025 | ACL | Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation. | Kounianhua Du, Hanjing Wang, Jianxing Liu, Jizheng Chen, Xinyi Dai, Yasheng Wang, Ruiming Tang, Yong Yu, Jun Wang, Weinan Zhang |
| 2025 | ACL | STaR-SQL: Self-Taught Reasoner for Text-to-SQL. | Mingqian He, Yongliang Shen, Wenqi Zhang, Qiuying Peng, Jun Wang, Weiming Lu |
| 2025 | ACL | TUBA: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning. | Xuanli He, Jun Wang, Qiongkai Xu, Pasquale Minervini, Pontus Stenetorp, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2025 | ACL | An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling. | Xuemei Tang, Jun Wang, Qi Su, Chu-Ren Huang, Jinghang Gu |
| 2025 | ACL | HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Assistant Scenarios. | Jun Wang, Jiamu Zhou, Xihuai Wang, Xiaoyun Mo, Haoyu Zhang, Qiqiang Lin, Jincheng Jincheng, Muning Wen, Weinan Zhang, Qiuying Peng |
| 2025 | ACL | CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels. | Lingxiao Wei, He Yan, Xiangju Lu, Junmin Zhu, Jun Wang, Wei Zhang |
| 2025 | CGI | Weakly Semi-supervised Classroom Teacher Visual Tracking by Single-Point Annotations. | Di Wu, Jianhou Gan, Ken Chen, Jiatian Mei, Jun Wang, Juxiang Zhou |
| 2025 | CIKM | Personalized Federated Recommendation with Multi-Faceted User Representation and Global Consistent Prototype. | Jiaming Qian, Xinting Liao, Xiangmou Qu, Zhihui Fu, Xingyu Lou, Changwang Zhang, Pengyang Zhou, Zijun Zhou, Jun Wang, Chaochao Chen |
| 2025 | CloudCom | An Energy-Efficient Tree-Chain Data Sharing Scheme with NDN for UAV Networks. | Jun Wang, Wenjie Ke, Jia Liu, Wanneng Shu, Xiao Zhang |
| 2025 | COLING | LlmLink: Dual LLMs for Dynamic Entity Linking on Long Narratives with Collaborative Memorisation and Prompt Optimisation. | Lixing Zhu, Jun Wang, Yulan He |
| 2025 | CVPR | WISE: A Framework for Gigapixel Whole-Slide-Image Lossless Compression. | Yu Mao, Jun Wang, Nan Guan, Chun Jason Xue |
| 2025 | CVPR | NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results. | Zheng Chen, Jingkai Wang, Kai Liu, Jue Gong, Lei Sun, Zongwei Wu, Radu Timofte, Yulun Zhang, Jianxing Zhang, Jinlong Wu, Jun Wang, Zheng Xie, Hakjae Jeon, Suejin Han, Hyung-Ju Chun, Hyunhee Park, Zhicun Yin, Junjie Chen, Ming Liu, Xiaoming Li, Chao Zhou, Wangmeng Zuo, Weixia Zhang, Dingquan Li, Kede Ma, Yun Zhang, Zhuofan Zheng, Yuyue Liu, Shizhen Tang, Zihao Zhang, Yi Ning, Hao Jiang, Wenjie An, Kangmeng Yu, Chenyang Wang, Kui Jiang, Xianming Liu, Junjun Jiang, Yingfu Zhang, Gang He, Siqi Wang, Kepeng Xu, Zhenyang Liu, Changxin Zhou, Shanlan Shen, Yubo Duan, Yiang Chen, Jin Guo, Mengru Yang, Jen-Wei Lee, Chia-Ming Lee, Chih-Chung Hsu, Hu Peng, Chunming He |
| 2025 | CVPR | STAR-Edge: Structure-aware Local Spherical Curve Representation for Thin-walled Edge Extraction from Unstructured Point Clouds. | Zikuan Li, Honghua Chen, Yuecheng Wang, Sibo Wu, Mingqiang Wei, Jun Wang |
| 2025 | DAC | Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs. | Yu Mao, Jingzong Li, Jun Wang, Hong Xu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue |
| 2025 | DAC | MHDiff: Memory- and Hardware-Efficient Diffusion Acceleration via Focal Pixel Aware Quantization. | Chunyu Qi, Xuhang Wang, Ruiyang Chen, Yuanzheng Yao, Naifeng Jing, Chen Zhang, Jun Wang, Zhihui Fu, Xiaoyao Liang, Zhuoran Song |
| 2025 | DAC | SynGPU: Synergizing CUDA and Bit-Serial Tensor Cores for Vision Transformer Acceleration on GPU. | Yuanzheng Yao, Chen Zhang, Chunyu Qi, Ruiyang Chen, Jun Wang, Zhihui Fu, Naifeng Jing, Xiaoyao Liang, Zhuoran Song |
| 2025 | DASFAA | Enhancing Cross-Lingual Dialogue Summarization Through Interpretable Chain-of-Thought. | Zhongtian Bao, Yao Zhang, Jun Wang, Adam Jatowt, Zhenglu Yang |
| 2025 | DASFAA | OLearning: A Geo-Distributed System for Device-Cloud Collaborative Computing. | Min Fang, Zhihui Fu, Xiangmou Qu, Ruiguang Pei, Jun Wang, Lan Zhang |
| 2025 | ECAI | Learning Macroeconomic Policies Through Dynamic Stackelberg Mean-Field Games. | Qirui Mi, Zhiyu Zhao, Chengdong Ma, Siyu Xia, Yan Song, Mengyue Yang, Jun Wang, Haifeng Zhang |
| 2025 | ECAI | Diversity-Aware Self-Paced Data Selection for LLM Fine-Tuning. | Yingxuan Yang, Huayi Wang, Muning Wen, Xiaoyun Mo, Qiuying Peng, Jun Wang, Weinan Zhang |
| 2025 | EMNLP | SparsePO: Controlling Preference Alignment of LLMs via Sparse Token Masks. | Fenia Christopoulou, Ronald Cardenas, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang |
| 2025 | EMNLP | E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning. | Zihan Liao, Jun Wang, Hang Yu, Lingxiao Wei, Jianguo Li, Jun Wang, Wei Zhang |
| 2025 | EMNLP | CIKT: A Collaborative and Iterative Knowledge Tracing Framework with Large Language Models. | Runze Li, Siyu Wu, Jun Wang, Wei Zhang |
| 2025 | EMNLP | DB-Explore: Automated Database Exploration and Instruction Synthesis for Text-to-SQL. | Haoyuan Ma, Yongliang Shen, Hengwei Liu, Wenqi Zhang, Haolei Xu, Qiuying Peng, Jun Wang, Weiming Lu |
| 2025 | EMNLP | Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values. | Hongbo Zhang, Han Cui, Guangsheng Bao, Linyi Yang, Jun Wang, Yue Zhang |
| 2025 | EMNLP | AskToAct: Enhancing LLMs Tool Use via Self-Correcting Clarification. | Xuan Zhang, Yongliang Shen, Zhe Zheng, Linjuan Wu, Wenqi Zhang, Yuchen Yan, Qiuying Peng, Jun Wang, Weiming Lu |
| 2025 | EMNLP | Spiral of Silence in Large Language Model Agents. | Mingze Zhong, Meng Fang, Zijing Shi, Yuxuan Huang, Shunfeng Zheng, Yali Du, Ling Chen, Jun Wang |
| 2025 | EMNLP | OAgents: An Empirical Study of Building Effective Agents. | He Zhu, Tianrui Qin, King Zhu, Heyuan Huang, Yeyi Guan, Jinxiang Xia, Hanhao Li, Yi Yao, Ningning Wang, Pai Liu, Tianhao Peng, Xin Gui, Xiaowan Li, Yuhui Liu, Xiangru Tang, Jian Yang, Ge Zhang, Xitong Gao, Yuchen Eleanor Jiang, Changwang Zhang, Jun Wang, Jiaheng Liu, Wangchunshu Zhou |
| 2025 | HCI | Current Research and Application Status of Affective Computing in Human-Computer Interaction: A Bibliometric Study. | Yiran Zhao, Jun Wang |
| 2025 | ICASSP | Rhythmic Foley: A Framework For Seamless Audio-Visual Alignment In Video-to-Audio Synthesis. | Zhiqi Huang, Dan Luo, Jun Wang, Huan Liao, Zhiheng Li, Zhiyong Wu |
| 2025 | ICASSP | R | Xiaoyun Han, Jun Wang |
| 2025 | ICASSP | Rethinking Early-Fusion Strategies for Improved Multimodal Image Segmentation. | Zhengwen Shen, Yulian Li, Han Zhang, Yuchen Weng, Jun Wang |
| 2025 | ICASSP | MotionComposer: Enhancing Rhythmic Music Generation with Adaptive Retrieval Reference. | Jinting Wang, Li Liu, Jun Wang |
| 2025 | ICASSP | Fine-portraitist: Visualizing the Speaker's Face Portrait during Speech Listening. | Jinting Wang, Li Liu, Jun Wang |
| 2025 | ICASSP | COCO-OLAC: A Benchmark for Occluded Panoptic Segmentation and Image Understanding. | Wenbo Wei, Jun Wang, Abhir Bhalerao |
| 2025 | ICASSP | ECG-guided individual identification via PPG. | Riling Wei, Hanjie Chen, Kelu Yao, Chuanguang Yang, Jun Wang, Chao Li |
| 2025 | ICASSP | Variational Perturbation Personalized Federated Learning via Prior-Posterior Distance. | Hefeng Zhou, Yuanbin Wang, Jun Wang, Jiong Lou, Wugedele Bao, Chentao Wu, Jie Li |
| 2025 | ICCCN | Resolving Congestion Packet Losses for Small Flows in Datacenter Networks with Link-local Retransmission. | Jun Wang, Yuchao Zhang, Wendong Wang |
| 2025 | ICCV | Unified Adversarial Augmentation for Improving Palmprint Recognition. | Jianlong Jin, Chenglong Zhao, Ruixin Zhang, Sheng Shang, Yang Zhao, Jun Wang, Jingyun Zhang, Shouhong Ding, Wei Jia, Yunsheng Wu |
| 2025 | ICCV | U-ViLAR: Uncertainty-Aware Visual Localization for Autonomous Driving via Differentiable Association and Registration. | Xiaofan Li, Zhihao Xu, Chenming Wu, Zhao Yang, Yumeng Zhang, Jiang-Jiang Liu, Haibao Yu, Xiaoqing Ye, Yuan Wang, Shirui Li, Xun Sun, Ji Wan, Jun Wang |
| 2025 | ICCV | From Enhancement to Understanding: Build a Generalized Bridge for Low-Light Vision via Semantically Consistent Unsupervised Fine-Tuning. | Sen Wang, Shao Zeng, Tianjun Gu, Zhizhong Zhang, Ruixin Zhang, Shouhong Ding, Jingyun Zhang, Jun Wang, Xin Tan, Yuan Xie, Lizhuang Ma |
| 2025 | ICCV | BLIP-3: A Family of Open Large Multimodal Models. | Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Shao-Yen Tseng, Gustavo A. Lujan-Moreno, Matthew L. Olson, Musashi Hinck, David Cobbley, Vasudev Lal, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu |
| 2025 | ICDAR | TABLET: Table Structure Recognition Using Encoder-only Transformers. | Qiyu Hou, Jun Wang |
| 2025 | ICDCS | SimDC: A High-Fidelity Device Simulation Platform for Device-Cloud Collaborative Computing. | Ruiguang Pei, Junjie Wu, Dan Peng, Min Fang, Jianan Zhang, Zhihui Fu, Jun Wang |
| 2025 | ICDE | FedEcover: Fast and Stable Converging Model-Heterogeneous Federated Learning with Efficient-Coverage Submodel Extraction. | Juntao Liang, Lan Zhang, Xiangmou Qu, Jun Wang |
| 2025 | ICIP | Visual Encoders for Generalized Chromosome Recognition. | Ruijia Chang, Tao Zhou, Suncheng Xiang, Yujia Wang, Kui Su, Yin Zhou, Dahong Qian, Jun Wang |
| 2025 | ICLR | Circuit Transformer: A Transformer That Preserves Logical Equivalence. | Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang |
| 2025 | ICLR | Spa-Bench: a comprehensive Benchmark for Smartphone Agent Evaluation. | Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Kaiwen Zhou, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye Hao, Jun Wang, Kun Shao |
| 2025 | ICLR | Lightweight Neural App Control. | Filippos Christianos, Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao |
| 2025 | ICLR | Human-inspired Episodic Memory for Infinite Context LLMs. | Zafeirios Fountas, Martin Benfeghoul, Adnan Oomerjee, Fenia Christopoulou, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang |
| 2025 | ICLR | Robust Function-Calling for On-Device Language Model via Function Masking. | Qiqiang Lin, Muning Wen, Qiuying Peng, Guanyu Nie, Junwei Liao, Jun Wang, Xiaoyun Mo, Jiamu Zhou, Cheng Cheng, Yin Zhao, Jun Wang, Weinan Zhang |
| 2025 | ICLR | On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models. | Xu-Hui Liu, Yali Du, Jun Wang, Yang Yu |
| 2025 | ICLR | Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization. | Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Zhigang Zeng, Ruixuan Li |
| 2025 | ICLR | Recovery of Causal Graph Involving Latent Variables via Homologous Surrogates. | Xiu-Chuan Li, Jun Wang, Tongliang Liu |
| 2025 | ICLR | DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent. | Taiyi Wang, Zhihao Wu, Jianheng Liu, Jianye Hao, Jun Wang, Kun Shao |
| 2025 | ICLR | Efficient Reinforcement Learning with Large Language Model Priors. | Xue Yan, Yan Song, Xidong Feng, Mengyue Yang, Haifeng Zhang, Haitham Bou-Ammar, Jun Wang |
| 2025 | ICLR | Mixture of Attentions For Speculative Decoding. | Matthieu Zimmer, Milan Gritta, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang |
| 2025 | ICML | Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets. | Wei Liu, Zhongyu Niu, Lang Gao, Zhiying Deng, Jun Wang, Haozhao Wang, Ruixuan Li |
| 2025 | ICML | Large Language Models are Demonstration Pre-Selectors for Themselves. | Jiarui Jin, Yuwei Wu, Haoxuan Li, Xiaoting He, Weinan Zhang, Yiming Yang, Yong Yu, Jun Wang, Mengyue Yang |
| 2025 | ICML | Elucidating the design space of language models for image generation. | Xuantong Liu, Shaozhe Hao, Xianbiao Qi, Tianyang Hu, Jun Wang, Rong Xiao, Yuan Yao |
| 2025 | ICML | Learning Optimal Multimodal Information Bottleneck Representations. | Qilong Wu, Yiyang Shao, Jun Wang, Xiaobo Sun |
| 2025 | ICML | Constrain Alignment with Sparse Autoencoders. | Qingyu Yin, Chak Tou Leong, Hongbo Zhang, Minjun Zhu, Hanqi Yan, Qiang Zhang, Yulan He, Wenjie Li, Jun Wang, Yue Zhang, Linyi Yang |
| 2025 | ICNP | Sub-RTT Congestion Control for Inter-Datacenter Networks. | Jun Wang, Yuchao Zhang, Gaoxiong Zeng, Chenyue Zheng, Wendong Wang, Haipeng Yao |
| 2025 | IJCAI | DUQ: Dual Uncertainty Quantification for Text-Video Retrieval. | Xin Liu, Shibai Yin, Jun Wang, Jiaxin Zhu, Xingyang Wang, Yee-Hong Yang |
| 2025 | IJCAI | Deep Learning for Multivariate Time Series Imputation: A Survey. | Jun Wang, Wenjie Du, Yiyuan Yang, Linglong Qian, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen |
| 2025 | IJCAI | Self-supervised End-to-end ToF Imaging Based on RGB-D Cross-modal Dependency. | Weihang Wang, Jun Wang, Fei Wen |
| 2025 | IJCAI | Imputation-free Incomplete Multi-view Clustering via Knowledge Distillation. | Benyu Wu, Wei Du, Jun Wang, Guoxian Yu |
| 2025 | IJCAI | Aligning Contrastive Multiple Clusterings with User Interests. | Shan Zhang, Liangrui Ren, Jun Wang, Yanyu Xu, Carlotta Domeniconi, Guoxian Yu |
| 2025 | IJCNN | Dream2Drive: A Large Language Model Powered Agent for Real World Multi-task Vehicle Motion Planning. | Hongru Wang, Jun Wang |
| 2025 | IJCNN | Discrete Feature Selection via Bi-Level Optimization for Hyperparameter Tuning. | Chenchen Wang, Jun Wang, Yanfei Li, Jin-Mao Wei |
| 2025 | IJCNN | InfoSyncNet: Information Synchronization Temporal Convolutional Network for Visual Speech Recognition. | Junxiao Xue, Xiaozhen Liu, Xuecheng Wu, Fei Yu, Jun Wang |
| 2025 | Interspeech | Articulatory Vowel Distinctiveness in Spanish. | Kristin Teplansky, Emily Rangel, Mimi LaValley, Jinuk Kwon, Beiming Cao, Jun Wang |
| 2025 | IROS | Enabling On-Chip Adaptive Linear Optimal Control via Linearized Gaussian Process. | Yuan Gao, Yinyi Lai, Jun Wang, Yini Fang |
| 2025 | IROS | Embodied multi-modal sensing with a soft modular arm powered by physical reservoir computing. | Jun Wang, Suyi Li |
| 2025 | ISCA | Scaling Llama 3 Training with Efficient Parallelism Strategies. | Weiwei Chu, Xinfeng Xie, Jiecao Yu, Jie Wang, Amar Phanishayee, Chunqiang Tang, Yuchen Hao, Jianyu Huang, Mustafa Ozdal, Jun Wang, Vedanuj Goswami, Naman Goyal, Abhishek Kadian, Andrew Gu, Chris Cai, Feng Tian, Xiaodong Wang, Min Si, Pavan Balaji, Ching-Hsiang Chu, Jongsoo Park |
| 2025 | ICRA | Plug-and-Play Physics-Informed Learning Using Uncertainty Quantified Port-Hamiltonian Models. | Kaiyuan Tan, Peilun Li, Jun Wang, Thomas Beckers |
| 2025 | IECON | Rethinking Carrier-based Common-mode Voltage Mitigation and Capacitor Voltage Balancing in Three-level NPC Converters. | Wei Xu, Jun Wang, Wenzhi Zhou, Xibo Yuan |
| 2025 | ISIT | Partial Orders of Rate-Compatible Polar Codes. | Zhichao Liu, Liuquan Yao, Yuan Li, Huazi Zhang, Jun Wang, Guiying Yan, Zhiming Ma |
| 2025 | ISIT | On the Average Weight Spectrum of Pre-Transformed Rate-Compatible Polar Codes. | Yuan Li, Zicheng Ye, Huazi Zhang, Jun Wang, Guiying Yan, Zhiming Ma |
| 2025 | ISIT | On the Weight Spectrum of Rate-Compatible Polar Codes. | Zicheng Ye, Yuan Li, Zhichao Liu, Huazi Zhang, Jun Wang, Guiying Yan, Zhiming Ma |
| 2025 | ISNN | Regression-Based Index Tracking Versus Clustering-Based Index Tracking: An Empirical Study. | Fangyu Zhang, Qintong Lyu, Jun Wang |
| 2025 | ISPEC | Secure and Dynamic Node Selection in Federated Learning: A Reputation-Based Approach with Blockchain. | Kaifa Zheng, Yiming Hei, Chenling Bai, Dunqiu Fan, Zhen Xu, Tiejun Wu, Jun Wang, Jiayi Liu, Di Zhou |
| 2025 | IWCMC | A Generalized Communication Complexity Analysis Model Based on 5G NR Classical Numerology. | Yongjun Ye, Changyong Pan, Chao Zhang, Jun Wang |
| 2025 | IWQoS | DSCC: Dynamic Synergistic Congestion Control of PFC and ECN for RDMA Datacenter Networks. | Jianxing Zhuge, Zeming Gao, Xiangyang Gong, Ye Tian, Jun Wang |
| 2025 | KDD | Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models. | Siyuan Guo, Huiwu Liu, Xiaolong Chen, Yuming Xie, Liang Zhang, Tao Han, Hechang Chen, Yi Chang, Jun Wang |
| 2025 | KDD | CAMEF: Causal-Augmented Multi-Modality Event-Driven Financial Forecasting by Integrating Time Series Patterns and Salient Macroeconomic Announcements. | Yang Zhang, Wenbo Yang, Jun Wang, Qiang Ma, Jie Xiong |
| 2025 | KDD | Collaborative Filtering Meets Spectrum Shift: Connecting User-Item Interaction with Graph-Structured Side Information. | Yunhang He, Cong Xu, Jun Wang, Wei Zhang |
| 2025 | KDD | Why Not Together? A Multiple-Round Recommender System for Queries and Items. | Jiarui Jin, Xianyu Chen, Weinan Zhang, Yong Yu, Jun Wang |
| 2025 | KDD | Causal Discovery from Shifted Multiple Environments. | Dezhi Yang, Guoxian Yu, Jun Wang, Jinglin Zhang, Carlotta Domeniconi |
| 2025 | MICRO | OASIS: A Commercial High Performance Terminal AI Processor Supporting RISC-V Tensor Extension Instructions. | Peng Gao, Yang Liu, Haonan Sun, Jiang Jiang, Jun Wang, Zonghui Hong, Jiali Qu |
| 2025 | NAACL | GenSim: A General Social Simulation Platform with Large Language Model based Agents. | Jiakai Tang, Heyang Gao, Xuchen Pan, Lei Wang, Haoran Tan, Dawei Gao, Yushuo Chen, Xu Chen, Yankai Lin, Yaliang Li, Bolin Ding, Jingren Zhou, Jun Wang, Ji-Rong Wen |
| 2025 | NDSS | DShield: Defending against Backdoor Attacks on Graph Neural Networks via Discrepancy Learning. | Hao Yu, Chuan Ma, Xinhang Wan, Jun Wang, Tao Xiang, Meng Shen, Xinwang Liu |
| 2025 | PPoPP | WeiPipe: Weight Pipeline Parallelism for Communication-Effective Long-Context Large Model Training. | Junfeng Lin, Ziming Liu, Yang You, Jun Wang, Weihao Zhang, Rong Zhao |
| 2025 | VTC | Symbol Rearrangement and Enhancement Strategies for Semantic Communication under Malicious Jamming Attacks. | Bohao Shi, Xinyue Zhang, Jun Wang, Xiaonan Chen, Chengjie Zhao, Wei Huang |
| 2025 | SMC | Improved Fireworks Algorithm-Enhanced Single-Objective Hybrid Disassembly Line Balancing with Machine Wear Rates Considered. | Yujie Feng, Xiwang Guo, Jiacun Wang, Ying Tang, Weitian Wang, Bin Hu, Claire Gao, Jun Wang |
| 2025 | SMC | SIEP-YOLO: Small Target Cluster Detection in Aerial Images. | Peiyao Liu, Jun Wang, Jinpeng Hu, Huanyu Yang, Peng Zhu, Yuming Bo |
| 2025 | SMC | A BiLSTM-KAN-Based Deep Learning Model for Predicting Drawing Experience with Eye-Movements Data. | Jun Wang, Haojie Wang, Bo Wu |
| 2025 | SMC | Disassembly and Assembly Line Balancing Problem with Robot Movement Space Constraints Solved Using the Improved Parallel A2C Algorithm. | Wenjing Zeng, Xiwang Guo, Jiacun Wang, Shujin Qin, Liang Qi, Bin Hu, Siqi Chen, Jun Wang |
| 2025 | SMC | Solving the Circular Disassembly Line Balancing Problem in Shifts Considering Human Learning Effect Based on IMPALA Algorithm. | Haitao Zhang, Xiwang Guo, Jiacun Wang, Shujin Qin, Bin Hu, Liang Qi, Siqi Chen, Jun Wang |
| 2025 | SMC | Military Aircraft Target Detection Using Enhanced YOLOv11 and Super-Resolution Algorithm. | Yu Zhou, Jun Wang, Yuming Bo, Huanyu Yang, Peiyao Liu, Lijun Yang |
| 2025 | WCNC | MaskDSC: Resilient Digital Semantic Communication with Masked Transformer and Unequal Error Protection. | Jun Wang, Kailin Tan, Sixian Wang, Xiaoqi Qin, Zhenyu Liu, Jincheng Dai |
| 2025 | WCNC | Task-Scalable Image Semantic Communication via Conditional Affine Transforms and Pixel-Wise Quality Control. | Jun Wang, Shengshi Yao, Sixian Wang, Zhongwei Si, Fengyu Wang, Zhenyu Liu, Jincheng Dai |
| 2025 | WWW | Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation. | Weiming Liu, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Xiaolin Zheng, Zhihui Fu, Ruiguang Pei, Jun Wang |
| 2025 | SIGIR | Training-free Periodic Interest Augmentation in Incremental Recommendation. | Heyuan Huang, Xingyu Lou, Changwang Zhang, Chaochao Chen, Kuiyao Dong, Feng Lu, Han Lei, Yihao Wang, Wangchunshu Zhou, Jun Wang |
| 2025 | SIGIR | MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender. | Bohao Wang, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Yan Feng, Chun Chen, Can Wang |
| 2025 | SIGIR | Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation. | Pengyang Zhou, Chaochao Chen, Weiming Liu, Wenkai Shen, Xinting Liao, Huarong Deng, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng |
| 2025 | TrustCom | L2M-AID: Autonomous Cyber-Physical Defense by Fusing Semantic Reasoning of Large Language Models with Multi-Agent Reinforcement Learning. | Tianxiang Xu, Zhichao Wen, Xinyu Zhao, Jun Wang, Yan Li, Chang Liu |
| 2025 | SP | Resolution Without Dissent: In-Path Per-Query Sanitization to Defeat Surreptitious Communication Over DNS. | Daiping Liu, Ruian Duan, Jun Wang |
| 2025 | WSDM | Progressive Tasks Guided Multi-Source Network for Customer Lifetime Value Prediction in Online Advertising. | Zheng Pan, Xingyu Lou, Xiao Jin, Chiye Ou, Feng Liu, Tieyong Zeng, Chengwei He, Xiang Liu, Lilong Wei, Jun Wang |
| 2025 | WSDM | FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning. | Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Fengyuan Yu, Zhihui Fu, Xingyu Lou, Wu Wen, Xiaolin Zheng, Jun Wang |
| 2025 | SOSP | Robust LLM Training Infrastructure at ByteDance. | Borui Wan, Gaohong Liu, Zuquan Song, Jun Wang, Yun Zhang, Guangming Sheng, Shuguang Wang, Houmin Wei, Chenyuan Wang, Weiqiang Lou, Xi Yang, Mofan Zhang, Kaihua Jiang, Cheng Ren, Xiaoyun Zhi, Menghan Yu, Zhe Nan, Zhuolin Zheng, Baoquan Zhong, Qinlong Wang, Huan Yu, Jinxin Chi, Wang Zhang, Yuhan Li, Zixian Du, Sida Zhao, Yongqiang Zhang, Jingzhe Tang, Zherui Liu, Chuan Wu, Yanghua Peng, Haibin Lin, Wencong Xiao, Xin Liu, Liang Xiang |
| 2024 | AAAI | Large Language Models Are Neurosymbolic Reasoners. | Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang |
| 2024 | AAAI | Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling. | Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li |
| 2024 | AAAI | Multi-Granularity Causal Structure Learning. | Jiaxuan Liang, Jun Wang, Guoxian Yu, Shuyin Xia, Guoyin Wang |
| 2024 | AAAI | Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis. | Rohan Mitta, Hosein Hasanbeig, Jun Wang, Daniel Kroening, Yiannis Kantaros, Alessandro Abate |
| 2024 | AAAI | Human-Guided Moral Decision Making in Text-Based Games. | Zijing Shi, Meng Fang, Ling Chen, Yali Du, Jun Wang |
| 2024 | AAAI | Multi-Dimensional Fair Federated Learning. | Cong Su, Guoxian Yu, Jun Wang, Hui Li, Qingzhong Li, Han Yu |
| 2024 | AAAI | PointAttN: You Only Need Attention for Point Cloud Completion. | Jun Wang, Ying Cui, Dongyan Guo, Junxia Li, Qingshan Liu, Chunhua Shen |
| 2024 | AAAI | Federated Causality Learning with Explainable Adaptive Optimization. | Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang |
| 2024 | ACL | D2LLM: Decomposed and Distilled Large Language Models for Semantic Search. | Zihan Liao, Hang Yu, Jianguo Li, Jun Wang, Wei Zhang |
| 2024 | ACL | Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives. | Wenqi Zhang, Yongliang Shen, Linjuan Wu, Qiuying Peng, Jun Wang, Yueting Zhuang, Weiming Lu |
| 2024 | CHI | GazePointAR: A Context-Aware Multimodal Voice Assistant for Pronoun Disambiguation in Wearable Augmented Reality. | Jaewook Lee, Jun Wang, Elizabeth Brown, Liam Chu, Sebastian S. Rodriguez, Jon E. Froehlich |
| 2024 | CIKM | DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation. | Heyuan Huang, Xingyu Lou, Chaochao Chen, Pengxiang Cheng, Yue Xin, Chengwei He, Xiang Liu, Jun Wang |
| 2024 | COLING | Can We Learn Question, Answer, and Distractors All from an Image? A New Task for Multiple-choice Visual Question Answering. | Wenjian Ding, Yao Zhang, Jun Wang, Adam Jatowt, Zhenglu Yang |
| 2024 | COLING | Restoring Ancient Ideograph: A Multimodal Multitask Neural Network Approach. | Siyu Duan, Jun Wang, Qi Su |
| 2024 | COLING | CHisIEC: An Information Extraction Corpus for Ancient Chinese History. | Xuemei Tang, Qi Su, Jun Wang, Zekun Deng |
| 2024 | CoRL | Lessons from Learning to Spin "Pens". | Jun Wang, Ying Yuan, Haichuan Che, Haozhi Qi, Yi Ma, Jitendra Malik, Xiaolong Wang |
| 2024 | CVPR | SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation. | Sichen Chen, Yingyi Zhang, Siming Huang, Ran Yi, Ke Fan, Ruixin Zhang, Peixian Chen, Jun Wang, Shouhong Ding, Lizhuang Ma |
| 2024 | CVPR | Privacy-Preserving Face Recognition Using Trainable Feature Subtraction. | Yuxi Mi, Zhizhou Zhong, Yuge Huang, Jiazhen Ji, Jianqing Xu, Jun Wang, Shaoming Wang, Shouhong Ding, Shuigeng Zhou |
| 2024 | CVPR | Mudslide: A Universal Nuclear Instance Segmentation Method. | Jun Wang |
| 2024 | CVPR | CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation. | Jun Wang, Yuzhe Qin, Kaiming Kuang, Yigit Korkmaz, Akhilan Gurumoorthy, Hao Su, Xiaolong Wang |
| 2024 | DASFAA | Learning Rules in Knowledge Graphs via Contrastive Learning. | Xiaoyang Feng, Xueli Liu, Yajun Yang, Wenjun Wang, Jun Wang |
| 2024 | ECAI | Adversarial Attack for Explanation Robustness of Rationalization Models. | Yuankai Zhang, Lingxiao Kong, Haozhao Wang, Ruixuan Li, Jun Wang, Yuhua Li, Wei Liu |
| 2024 | ECAI | PAGE: Parametric Generative Explainer for Graph Neural Network. | Yang Qiu, Wei Liu, Jun Wang, Ruixuan Li |
| 2024 | ECCV | Boosting Pose Estimators via Cross-Representation Distillation. | Kang Liu, Zhendong Yang, Jingyun Zhang, Jun Wang, Shaoming Wang, Chun Yuan, Rizen Guo |
| 2024 | ECCV | xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations. | Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong |
| 2024 | EMNLP | Exploring Union and Intersection of Visual Regions for Generating Questions, Answers, and Distractors. | Wenjian Ding, Yao Zhang, Jun Wang, Adam Jatowt, Zhenglu Yang |
| 2024 | EMNLP | Multiple Knowledge-Enhanced Interactive Graph Network for Multimodal Conversational Emotion Recognition. | Geng Tu, Jun Wang, Zhenyu Li, Shiwei Chen, Bin Liang, Xi Zeng, Min Yang, Ruifeng Xu |
| 2024 | FUSION | mmWave Radar and Image Fusion for Depth Completion: a Two-Stage Fusion Network. | Tieshuai Song, Bin Yang, Jun Wang, Guidong He, Zhao Dong, Fengjun Zhong |
| 2024 | GLOBECOM | Joint Spectrum Cartography and Prediction via Tensor-Structural Self-Supervised Regularization. | Xiaonan Chen, Jun Wang, Qingyang Huang |
| 2024 | GLOBECOM | Performance Analysis of NOMA-aided Satellite Communication Networks Based on Stochastic Geometry. | Kecheng Li, Jun Wang, Tianwei Hou, Anna Li, Xinwei Yue, Yuanwei Liu, Wei Chen |
| 2024 | GLOBECOM | Incremental Model Quantization for Federated Learning in Wireless Networks. | Zheng Qin, Gang Feng, Yijing Liu, Xiaoqian Li, Fei Wang, Jun Wang |
| 2024 | HIC | Exploring NeuroDesign in Cultivating Empathy and Creativity in Primary Education in China. | Wei Liu, Ruonan Huang, Di Zhu, Yinghe Chen, Jun Wang, Jingjing Zhang, Abdullah Al Mahmud, Takumi Ohashi |
| 2024 | ICASSP | DMT: Comprehensive Distillation with Multiple Self-Supervised Teachers. | Yuang Liu, Jing Wang, Qiang Zhou, Fan Wang, Jun Wang, Wei Zhang |
| 2024 | ICASSP | Stealthy Backdoor Attack Towards Federated Automatic Speaker Verification. | Longling Zhang, Lyqi Liu, Dan Meng, Jun Wang, Shengshan Hu |
| 2024 | ICCAD | ALISE: Accelerating Large Language Model Serving with Speculative Scheduling. | Youpeng Zhao, Jun Wang |
| 2024 | ICDAR | Synthesizing Realistic Data for Table Recognition. | Qiyu Hou, Jun Wang, Meixuan Qiao, Lujun Tian |
| 2024 | ICDAR | SegHist: A General Segmentation-Based Framework for Chinese Historical Document Text Line Detection. | Xingjian Hu, Baole Wei, Liangcai Gao, Jun Wang |
| 2024 | ICDE | Semi-Asynchronous Online Federated Crowdsourcing. | Xiangping Kang, Guoxian Yu, Qingzhong Li, Jun Wang, Hui Li, Carlotta Domeniconi |
| 2024 | ICDE | Enhancing the Rationale-Input Alignment for Self-explaining Rationalization. | Wei Liu, Haozhao Wang, Jun Wang, Zhiying Deng, Yuankai Zhang, Cheng Wang, Ruixuan Li |
| 2024 | ICDE | Differentiable and Scalable Generative Adversarial Models for Data Imputation (Extended Abstract). | Yangyang Wu, Jun Wang, Xiaoye Miao, Wenjia Wang, Jianwei Yin |
| 2024 | ICML | Bifurcated Attention for Single-Context Large-Batch Sampling. | Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Jiacheng Guo, Liangfu Chen, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang |
| 2024 | ICML | DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning. | Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang |
| 2024 | ICML | DFD: Distilling the Feature Disparity Differently for Detectors. | Kang Liu, Yingyi Zhang, Jingyun Zhang, Jinmin Li, Jun Wang, Shaoming Wang, Chun Yuan, Rizen Guo |
| 2024 | ICML | Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information. | Xinhang Wan, Jiyuan Liu, Xinwang Liu, Yi Wen, Hao Yu, Siwei Wang, Shengju Yu, Tianjiao Wan, Jun Wang, En Zhu |
| 2024 | ICML | AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training. | Ziyu Wan, Xidong Feng, Muning Wen, Stephen Marcus McAleer, Ying Wen, Weinan Zhang, Jun Wang |
| 2024 | ICML | Token-level Direct Preference Optimization. | Yongcheng Zeng, Guoqing Liu, Weiyu Ma, Ning Yang, Haifeng Zhang, Jun Wang |
| 2024 | IGARSS | Enhancing 3D SAR Imaging: A Near-Field Back Projection Algorithm for Addressing Geometric Distortion. | Yuanhao Wang, Jun Wang, Guidong He, Tieshuai Song, Jiangyou Zhu, Chi Zhang, Xinyuan He |
| 2024 | IJCAI | Provable Acceleration of Nesterov's Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks. | Xin Liu, Wei Tao, Wei Li, Dazhi Zhan, Jun Wang, Zhisong Pan |
| 2024 | IJCAI | Bridge to Non-Barrier Communication: Gloss-Prompted Fine-Grained Cued Speech Gesture Generation with Diffusion Model. | Wentao Lei, Li Liu, Jun Wang |
| 2024 | IJCAI | Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling. | Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo |
| 2024 | IJCAI | Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond. | Kaichen Xu, Yueyang Ding, Suyang Hou, Weiqiang Zhan, Nisang Chen, Jun Wang, Xiaobo Sun |
| 2024 | ICRA | An LLM-driven Framework for Multiple-Vehicle Dispatching and Navigation in Smart City Landscapes. | Ruiqing Chen, Wenbin Song, Weiqin Zu, ZiXin Dong, Ze Guo, Fanglei Sun, Zheng Tian, Jun Wang |
| 2024 | Interspeech | Direct Speech Synthesis from Non-Invasive, Neuromagnetic Signals. | Jinuk Kwon, David Harwath, Debadatta Dash, Paul Ferrari, Jun Wang |
| 2024 | ISCA | ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching. | Youpeng Zhao, Di Wu, Jun Wang |
| 2024 | ICRA | Language and Sketching: An LLM-driven Interactive Multimodal Multitask Robot Navigation Framework. | Weiqin Zu, Wenbin Song, Ruiqing Chen, Ze Guo, Fanglei Sun, Zheng Tian, Wei Pan, Jun Wang |
| 2024 | ICSE | Knowledge Graph Driven Inference Testing for Question Answering Software. | Jun Wang, Yanhui Li, Zhifei Chen, Lin Chen, Xiaofang Zhang, Yuming Zhou |
| 2024 | ISIT | Second-Order Identification Capacity of AWGN Channels. | Zhicheng Liu, Yuan Li, Huazi Zhang, Jun Wang, Guiying Yan, Zhiming Ma |
| 2024 | ISIT | New Partial Orders of Polar Codes for BMSC. | Liuquan Yao, Zhichao Liu, Yuan Li, Huazi Zhang, Jun Wang, Guiying Yan, Zhi-Ming Ma |
| 2024 | ITW | Theoretical Bounds for the Size of Elementary Trapping Sets by Graph Theory Methods. | Haoran Xiong, Zicheng Ye, Huazi Zhang, Jun Wang, Ke Liu, Dawei Yin, Guanghui Wang, Guiying Yan, Zhiming Ma |
| 2024 | ITW | Achievability Bounds on Unequal Error Protection Codes. | Liuquan Yao, Shuai Yuan, Yuan Li, Jun Wang, Guiying Yan, Zhiming Ma |
| 2024 | MICCAI | Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images. | Tianxiang Huang, Jing Shi, Ge Jin, Juncheng Li, Jun Wang, Jun Du, Jun Shi |
| 2024 | MICRO | SOPHGO BM1684X: A Commercial High Performance Terminal AI Processor with Large Model Support. | Peng Gao, Yang Liu, Jun Wang, Wanlin Cai, Guangchong Shen, Zonghui Hong, Jiali Qu, Ning Wang |
| 2024 | NAACL | Backdoor Attacks on Multilingual Machine Translation. | Jun Wang, Qiongkai Xu, Xuanli He, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2024 | PG | GCANet: A Geometric Consistency-driven Aggregation Network for Robust Primitive Segmentation on Point Clouds. | Anyi Huang, Zikuan Li, Zhoutao Wang, Xiang Wu, Jun Wang |
| 2024 | RecSys | Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models. | Yu Cui, Feng Liu, Pengbo Wang, Bohao Wang, Heng Tang, Yi Wan, Jun Wang, Jiawei Chen |
| 2024 | VTC | Chinese Remainder Theorem Based Carrier Offset Estimation for High-Mobility OFDM Systems. | Wei Huang, Bohao Shi, Jun Wang, Xiaoping Li, Qihang Peng |
| 2024 | SMC | Classification and Deployment of Animal Images Based on Convolutional Neural Networks and Transferability Estimation. | Biyi Jiang, Jun Wang, Peng Zhu, Huanyu Yang |
| 2024 | SMC | Infrared Small Target Detection Based on DETR Architecture and Super-Resolution Technique. | Huanyu Yang, Lijun Yang, Jun Wang, Yuming Bo, Jiacun Wang |
| 2024 | WWW | InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. | Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley |
| 2024 | WACV | Dynamic Token-Pass Transformers for Semantic Segmentation. | Yuang Liu, Qiang Zhou, Jing Wang, Zhibin Wang, Fan Wang, Jun Wang, Wei Zhang |
| 2024 | UIST | EVE: Enabling Anyone to Train Robots using Augmented Reality. | Jun Wang, Chun-Cheng Chang, Jiafei Duan, Dieter Fox, Ranjay Krishna |
| 2023 | AAAI | Long-Tail Cross Modal Hashing. | Zijun Gao, Jun Wang, Guoxian Yu, Zhongmin Yan, Carlotta Domeniconi, Jinglin Zhang |
| 2023 | AAAI | Incentive-Boosted Federated Crowdsourcing. | Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang |
| 2023 | AAAI | Self-Decoupling and Ensemble Distillation for Efficient Segmentation. | Yuang Liu, Wei Zhang, Jun Wang |
| 2023 | AAAI | Learning to Shape Rewards Using a Game of Two Partners. | David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Wenbin Song, Feifei Tong, Matthew E. Taylor, Tianpei Yang, Zipeng Dai, Hui Chen, Jiangcheng Zhu, Kun Shao, Jun Wang, Yaodong Yang |
| 2023 | AAAI | Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract). | Bo Wu, Xun Liang, Xiangping Zheng, Jun Wang |
| 2023 | AAAI | Reinforcement Causal Structure Learning on Order Graph. | Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo |
| 2023 | ACL | XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning Representations. | Yusen Zhang, Jun Wang, Zhiguo Wang, Rui Zhang |
| 2023 | ACL | Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. | Yiqun Hu, Yiyun Zhao, Jiarong Jiang, Wuwei Lan, Henghui Zhu, Anuj Chauhan, Alexander Hanbo Li, Lin Pan, Jun Wang, Chung-Wei Hang, Sheng Zhang, Jiang Guo, Mingwen Dong, Joseph Lilien, Patrick Ng, Zhiguo Wang, Vittorio Castelli, Bing Xiang |
| 2023 | ACL | MGR: Multi-generator Based Rationalization. | Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Xinyang Li, Yuankai Zhang, Yang Qiu |
| 2023 | ACL | ACROSS: An Alignment-based Framework for Low-Resource Many-to-One Cross-Lingual Summarization. | Peiyao Li, Zhengkun Zhang, Jun Wang, Liang Li, Adam Jatowt, Zhenglu Yang |
| 2023 | ACML | FusionU-Net: U-Net with Enhanced Skip Connection for Pathology Image Segmentation. | Zongyi Li, Hongbing Lyu, Jun Wang |
| 2023 | CIKM | Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. | Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang |
| 2023 | CogSci | MVRACE: Multi-view Graph Contrastive Encoding for Graph Neural Network Pre-training. | Bo Wu, Xun Liang, Xiangping Zheng, Yuhui Guo, Xuan Zhang, Hui Tang, Jun Wang |
| 2023 | CVPR | Align and Attend: Multimodal Summarization with Dual Contrastive Losses. | Bo He, Jun Wang, Jielin Qiu, Trung Bui, Abhinav Shrivastava, Zhaowen Wang |
| 2023 | CVPR | Open Set Classification of GAN-based Image Manipulations via a ViT-based Hybrid Architecture. | Jun Wang, Omran Alamayreh, Benedetta Tondi, Mauro Barni |
| 2023 | CVPR | DistilPose: Tokenized Pose Regression with Heatmap Distillation. | Suhang Ye, Yingyi Zhang, Jie Hu, Liujuan Cao, Shengchuan Zhang, Lei Shen, Jun Wang, Shouhong Ding, Rongrong Ji |
| 2023 | DASFAA | Modeling High-Order Relation to Explore User Intent with Parallel Collaboration Views. | Xiangping Zheng, Xun Liang, Bo Wu, Jun Wang, Yuhui Guo, Sensen Zhang, Yuefeng Ma |
| 2023 | ECAI | A Siamese Based System for City Verification. | Omran Alamayreh, Jun Wang, Giovanna Maria Dimitri, Benedetta Tondi, Mauro Barni |
| 2023 | ECAI | FedPerturb: Covert Poisoning Attack on Federated Learning via Partial Perturbation. | Tongsai Jin, Zhihui Fu, Dan Meng, Jun Wang, Yue Qi, Guitao Cao |
| 2023 | EMNLP | Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation. | Xuanli He, Qiongkai Xu, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2023 | EMNLP | Well Begun is Half Done: Generator-agnostic Knowledge Pre-Selection for Knowledge-Grounded Dialogue. | Lang Qin, Yao Zhang, Hongru Liang, Jun Wang, Zhenglu Yang |
| 2023 | EMNLP | How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances. | Zihan Zhang, Meng Fang, Ling Chen, Mohammad-Reza Namazi-Rad, Jun Wang |
| 2023 | GLOBECOM | Active Reconfigurable Intelligent Surface-Assisted Bistatic Backscatter Communications. | Yanchi Chen, Jun Wang, Ying-Chang Liang |
| 2023 | GLOBECOM | PPO-Based Energy-Efficient Power Control and Spectrum Allocation in In-Vehicle HetNets. | Tianyi Lin, Jun Du, Haijun Zhang, Arumugam Nallanathan, Jun Wang |
| 2023 | GLOBECOM | Weighted Sum Power Maximization for STAR-RIS Assisted SWIPT Systems. | Yixuan Li, Ji Wang, Yuanwei Liu, Wenwu Xie, Jun Wang |
| 2023 | GLOBECOM | Perturbation-Enhanced SCL Decoder for Polar Codes. | Xianbin Wang, Huazi Zhang, Jiajie Tong, Jun Wang, Jianglei Ma, Wen Tong |
| 2023 | GLOBECOM | Multi-Task Learning Based Channel Estimation for Hybrid-Field STAR-RIS Systems. | Jian Xiao, Ji Wang, Yuanwei Liu, Wenwu Xie, Jun Wang, Shouyin Liu |
| 2023 | GLOBECOM | Lossless Analog Compression via Polarization. | Shuai Yuan, Liuquan Yao, Yuan Li, Huazi Zhang, Jun Wang, Wen Tong, Zhiming Ma |
| 2023 | GPC | A Study of Sketch Drawing Process Comparation with Different Painting Experience via Eye Movements Analysis. | Jun Wang, Kiminori Sato, Bo Wu |
| 2023 | GPC | A Cloud-Based Sign Language Translation System via CNN with Smart Glasses. | Siwei Zhao, Jun Wang, Kiminori Sato, Bo Wu, Xuan Huang |
| 2023 | ICASSP | Which Country is This Picture From? New Data and Methods For Dnn-Based Country Recognition. | Omran Alamayreh, Giovanna Maria Dimitri, Jun Wang, Benedetta Tondi, Mauro Barni |
| 2023 | ICASSP | Trinet: Stabilizing Self-Supervised Learning From Complete or Slow Collapse. | Lixin Cao, Jun Wang, Ben Yang, Dan Su, Dong Yu |
| 2023 | ICASSP | Optimizing Vision Transformers for Medical Image Segmentation. | Qianying Liu, Chaitanya Kaul, Jun Wang, Christos Anagnostopoulos, Roderick Murray-Smith, Fani Deligianni |
| 2023 | ICASSP | Backdoor Attack Against Automatic Speaker Verification Models in Federated Learning. | Dan Meng, Xue Wang, Jun Wang |
| 2023 | ICASSP | Input-Dependent Dynamical Channel Association For Knowledge Distillation. | Qiankun Tang, Yuan Zhang, Xiaogang Xu, Jun Wang, Yimin Guo |
| 2023 | ICASSP | Classification of Synthetic Facial Attributes by Means of Hybrid Classification/Localization Patch-Based Analysis. | Jun Wang, Benedetta Tondi, Mauro Barni |
| 2023 | ICASSP | Filter Pruning Via Filters Similarity in Consecutive Layers. | Xiaorui Wang, Jun Wang, Xin Tang, Peng Gao, Rui Fang, Guotong Xie |
| 2023 | ICASSP | NAS-DYMC: NAS-Based Dynamic Multi-Scale Convolutional Neural Network for Sound Event Detection. | Jun Wang, Peng Yao, Feng Deng, Jianchao Tan, Chengru Song, Xiaorui Wang |
| 2023 | ICASSP | Enlightening the Student in Knowledge Distillation. | Yujie Zheng, Chong Wang, Yi Chen, Jiangbo Qian, Jun Wang, Jiafei Wu |
| 2023 | ICCV | TopoSeg: Topology-Aware Nuclear Instance Segmentation. | Hongliang He, Jun Wang, Pengxu Wei, Fan Xu, Xiangyang Ji, Chang Liu, Jie Chen |
| 2023 | ICCV | Data-free Knowledge Distillation for Fine-grained Visual Categorization. | Renrong Shao, Wei Zhang, Jianhua Yin, Jun Wang |
| 2023 | ICDAR | Structure Diagram Recognition in Financial Announcements. | Meixuan Qiao, Jun Wang, Junfu Xiang, Qiyu Hou, Ruixuan Li |
| 2023 | ICDCS | HCPerf: Driving Performance-Directed Hierarchical Coordination for Autonomous Vehicles. | Jialiang Ma, Li Li, Zejiang Wang, Jun Wang, Chengzhong Xu |
| 2023 | ICDE | Enhanced Discrete Multi-modal Hashing: More Constraints yet Less Time to Learn (Extended Abstract). | Yong Chen, Hui Zhang, Zhibao Tian, Jun Wang, Dell Zhang, Xuelong Li |
| 2023 | ICDM | CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation. | Jun Wang, Haoxuan Li, Chi Zhang, Dongxu Liang, Enyun Yu, Wenwu Ou, Wenjia Wang |
| 2023 | ICIN | Internet of Things over Beam-Hopping-Based Non-terrestrial Networks. | Ying Chen, Feiran Zhao, Ruonan Yang, Chuili Kong, Rong Li, Jun Wang |
| 2023 | ICIP | Modality Meets Long-Term Tracker: A Siamese Dual Fusion Framework for Tracking UAV. | Zhihao Zhang, Lei Jin, Shengjie Li, Jianqiang Xia, Jun Wang, Zun Li, Zheng Zhu, Wenhan Yang, Pengfei Zhang, Jian Zhao, Bo Zhang |
| 2023 | ICIP | Parameter-Efficient Vision Transformer with Linear Attention. | Youpeng Zhao, Huadong Tang, Yingying Jiang, Yong A, Qiang Wu, Jun Wang |
| 2023 | ICLR | Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. | Shuaichen Chang, Jun Wang, Mingwen Dong, Lin Pan, Henghui Zhu, Alexander Hanbo Li, Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, Steve Ash, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Bing Xiang |
| 2023 | ICLR | Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. | David Henry Mguni, Aivar Sootla, Juliusz Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang |
| 2023 | ICLR | Order Matters: Agent-by-agent Policy Optimization. | Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang |
| 2023 | ICLR | DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. | Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Yang Wang, Zhiguo Wang, Bing Xiang |
| 2023 | ICML | MANSA: Learning Fast and Slow in Multi-Agent Systems. | David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus McAleer, Feifei Tong, Jun Wang, Yaodong Yang |
| 2023 | ICML | A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems. | Oliver Slumbers, David Henry Mguni, Stefano B. Blumberg, Stephen Marcus McAleer, Yaodong Yang, Jun Wang |
| 2023 | ICML | GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. | Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai |
| 2023 | ICONIP | Diachronic Named Entity Disambiguation for Ancient Chinese Historical Records. | Zekun Deng, Hao Yang, Jun Wang |
| 2023 | ICONIP | DRPDDet: Dynamic Rotated Proposals Decoder for Oriented Object Detection. | Jun Wang, Zilong Wang, Yuchen Weng, Yulian Li |
| 2023 | ICPADS | FedLRS: A Communication-Efficient Federated Learning Framework With Low-Rank and Sparse Decomposition. | Mingkai Luo, Dan Meng, Jun Wang, Yu Fang, Jiangyong Ying |
| 2023 | IGARSS | Early Warning For All With A Model-Of-Models Approach. | Guy J.-P. Schumann, Bandana Kar, Prativa Sharma, Douglas Bausch, Jun Wang, Margaret T. Glasscoe |
| 2023 | IGARSS | Research of Microwave Scattering of Burned Ground Surface Based on the Decomposition and Reconstruction Principle - Two Scale Model. | Longfei Tan, Ling Tong, Jun Wang, Shiyu Luo, Gonglin Shi, Ting Yang |
| 2023 | IGARSS | Improvements of an Smart-and-Connected Low-Cost Sensor System for Measuring Canopy Properties in the Central U.S. | Sheng Wang, Jun Wang, Lorena Castro Garcia, Spencer J. Kuhl, Xin Qiao, Tommy Rose, Cheryl Reuben |
| 2023 | IJCAI | CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization. | Xiaohan Yu, Jun Wang, Yongsheng Gao |
| 2023 | IJCAI | HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. | Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi |
| 2023 | ICRA | Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions. | Desong Du, Shaohang Han, Naiming Qi, Haitham Bou-Ammar, Jun Wang, Wei Pan |
| 2023 | ICRA | Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer. | Hang Lai, Weinan Zhang, Xialin He, Chen Yu, Zheng Tian, Yong Yu, Jun Wang |
| 2023 | Interspeech | Cross-utterance Conditioned Coherent Speech Editing. | Cheng Yu, Yang Li, Weiqin Zu, Fanglei Sun, Zheng Tian, Jun Wang |
| 2023 | ICRA | Multi-embodiment Legged Robot Control as a Sequence Modeling Problem. | Chen Yu, Weinan Zhang, Hang Lai, Zheng Tian, Laurent Kneip, Jun Wang |